Publications by authors named "Xinxin Zhang"

488 Publications

The gut microbiota is associated with clinical response to statin treatment in patients with coronary artery disease.

Atherosclerosis 2021 Mar 29;325:16-23. Epub 2021 Mar 29.

Department of Cardiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China. Electronic address:

Background: The structure and composition of the gut microbiota influence patients' response to therapeutic interventions. It is also known that the response to statin treatment can vary greatly from one patient to another, suggesting a possible connection between microbiome composition and response to statins. In the present study, we aim to explore the influence of the microbiome composition on the response to statin treatment among patients with coronary artery disease (CAD).

Methods: A prospective cohort of 836 CAD patients enrolled from January 2016 to December 2017 was used to perform a nested case-control study. We divided 110 CAD patients into two groups according to their response to statins (good response group and poor response group) and compared their gut microbiota.

Results: Our analysis reveals no significant difference in microbiome between the two groups. However, significant differences were found in the relative proportion of numerous genera between GR and PR groups. Most remarkably, we could observe that a poor response to statin treatment correlates to a significant decrease in the abundance of beneficial bacteria for the lipid metabolism (Akkermansia muciniphila (A. muciniphila) and Lactobacillus) and a significant increase in the abundance of bacteria (Holdemanella and Facecallibacterium).

Conclusions: Gut microbiota structure is associated with the response to statin. Our results suggest that manipulation of the gut microbiota composition can be an interesting and effective treatment strategy to blood lipid control among CAD patients.
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http://dx.doi.org/10.1016/j.atherosclerosis.2021.03.007DOI Listing
March 2021

Viral quasispecies quantitative analysis: a novel approach for appraising the immune tolerant phase of chronic hepatitis B virus infection.

Emerg Microbes Infect 2021 Apr 19:1-36. Epub 2021 Apr 19.

Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai 200025, China.

Few non-invasive models were established for precisely identifying the immune tolerant (IT) phase from chronic hepatitis B (CHB). This study aimed to develop a novel approach that combined next-generation sequencing (NGS) and machine learning algorithms using our recently published viral quasispecies (QS) analysis package. 290 HBeAg positive patients from whom liver biopsies were taken were enrolled and divided into a training group (n=148) and a validation group (n=142). HBV DNA was extracted and QS sequences were obtained by NGS. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) based on viral operational taxonomic units (OTUs) were performed to explore the correlations among QS and clinical phenotypes. Three machine learning algorithms, including K-nearest neighbour, support vector machine, and random forest algorithm, were used to construct diagnostic models for IT phase classification. Based on histopathology, 90 IT patients and 200 CHB patients were diagnosed. HBsAg titres for IT patients were higher than those of CHB patients (p<0.001). HCA and PCA analysis grouped IT and CHB patients into two distinct clusters. The relative abundance of viral OTUs differed mainly within the BCP/precore/core region and was significantly correlated with liver inflammation and fibrosis. For the IT phase classification, all machine-learning models showed higher AUC values compared to models based on HBsAg, APRI, and FIB-4. The relative abundance of viral OTUs reflects the severity of liver inflammation and fibrosis. The novel QS quantitative analysis approach could be used to diagnose IT patients more precisely and reduce the need for liver biopsy.
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http://dx.doi.org/10.1080/22221751.2021.1919033DOI Listing
April 2021

Multimodal Treatment With Orbital Organ Preservation in Adult Patients With Locally Advanced Small-Round-Cell Malignancy of the Nasal Cavity and Paranasal Sinus.

Front Oncol 2021 1;11:650385. Epub 2021 Apr 1.

ColIege of Otolaryngology Head and Neck Surgery, Chinese PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Key Lab of Hearing Science, Ministry of Education, Beijing Key Lab of Hearing Impairment for Prevention and Treatment, Beijing, China.

Background: To investigate the efficacy of induction chemotherapy followed by concurrent chemotherapy and helical tomotherapy in adult patients with locally advanced small-round-cell malignancy of the nasal cavity and paranasal sinus in regard to orbital organ preservation and quality of life.

Methods: The clinical data of 49 patients with orbital involvement of locally advanced small-round-cell malignancy of the nasal cavity and paranasal sinus who received multimodal treatment for orbital organ preservation between December 2009 and January 2019 were retrospectively analyzed. Treatment efficacy and side effects were assessed. The study included three different pathological types. All patients were treated with induction chemotherapy followed by concurrent chemoradiotherapy. Helical tomotherapy was applied as radiotherapy. Adverse reactions to the chemotherapy were assessed according to Common Terminology Criteria for Adverse Events, Version 3. The overall survival (OS) rate, progression-free survival (PFS) rate, and orbital preservation rate were calculated using the Kaplan-Meier method.

Results: After multimodal treatment, the 3- and 5-year OS rates of the 49 patients were 63.8% and 54.5%, respectively, and the 3- and 5-year total PFS rates were 66.8% and 63.1%, respectively.

Conclusions: Multimodal treatment can preserve the orbital organs of adult patients with small-round-cell malignancy of the nasal cavity and paranasal sinus, achieve relatively ideal organ protection and survival rates, and improve quality of life, thus providing a new treatment option for these patients.
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http://dx.doi.org/10.3389/fonc.2021.650385DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047626PMC
April 2021

Short-term effects of delivery methods on postpartum pelvic floor function in primiparas: a retrospective study.

Ann Palliat Med 2021 Mar;10(3):3386-3395

Department of Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.

Background: The present study sought to investigate the short-term effects of different delivery methods on postpartum pelvic floor function in Chinese primiparas.

Methods: Primiparous women who delivered a full-term, cephalic, singleton infant at our hospital between January 1, 2018 and August 15, 2019 were recruited into this study. All women underwent pelvic floor function screening at 6-8 weeks postpartum. Tests included postpartum Pelvic Organ Prolapse Quantification (POP-Q) score, incidence of urinary incontinence, pelvic floor muscle (PFM) strength, and Pelvic Floor Distress Inventory Questionnaire-Short Form 20 (PFDI-20) score.

Results: A total of 284 postpartum women were recruited into the study. Of the participants, 147 had undergone vaginal delivery, 37 had undergone intrapartum cesarean delivery (ICD), and 100 had undergone elective cesarean delivery (ECD). Points Aa, Ba, Ap, and Bp showed a greater degree of prolapse in the vaginal delivery group than in the ECD group (P≤0.05). UI was less prevalent in ECD group relative to the vaginal delivery group (P≤0.05). Tonic PFM contraction was weaker in the vaginal delivery group than in the ECD and ICD groups (P≤0.05). Significant differences were also observed between the vaginal delivery group and the ECD group with respect to PFDI-20 scores (P≤0.05).

Conclusions: Compared with vaginal delivery, ECD was strongly linked to a lower risk of pelvic organ prolapse (POP) and UI, stronger tonic PFM strength, and lower PFDI-20 scores. ECD confers relatively better protection against pelvic floor dysfunction (PFD) than does ICD.
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http://dx.doi.org/10.21037/apm-21-485DOI Listing
March 2021

Lateral Hypothalamic Area Glutamatergic Neurons and Their Projections to the Lateral Habenula Modulate the Anesthetic Potency of Isoflurane in Mice.

Neurosci Bull 2021 Apr 13. Epub 2021 Apr 13.

Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.

The lateral hypothalamic area (LHA) plays a pivotal role in regulating consciousness transition, in which orexinergic neurons, GABAergic neurons, and melanin-concentrating hormone neurons are involved. Glutamatergic neurons have a large population in the LHA, but their anesthesia-related effect has not been explored. Here, we found that genetic ablation of LHA glutamatergic neurons shortened the induction time and prolonged the recovery time of isoflurane anesthesia in mice. In contrast, chemogenetic activation of LHA glutamatergic neurons increased the time to anesthesia and decreased the time to recovery. Optogenetic activation of LHA glutamatergic neurons during the maintenance of anesthesia reduced the burst suppression pattern of the electroencephalogram (EEG) and shifted EEG features to an arousal pattern. Photostimulation of LHA glutamatergic projections to the lateral habenula (LHb) also facilitated the emergence from anesthesia and the transition of anesthesia depth to a lighter level. Collectively, LHA glutamatergic neurons and their projections to the LHb regulate anesthetic potency and EEG features.
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http://dx.doi.org/10.1007/s12264-021-00674-zDOI Listing
April 2021

GILT in tumor cells improves T cell-mediated anti-tumor immune surveillance.

Immunol Lett 2021 Apr 7;234:1-12. Epub 2021 Apr 7.

Department of Biochemistry and Molecular Biology, Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China; Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Key Laboratory of Cellular and Molecular Immunology in Tianjin, Excellent Talent Project, Tianjin Medical University, Tianjin, China. Electronic address:

The lysosomal thiol reductase GILT catalyzes the reduction of disulfide bonds of protein antigens, facilitating antigen-presenting cells (APCs) to present antigen to T cells. However, whether GILT expression in tumor cells can be associated with improved T cell-mediated anti-tumor responses remains unknown. Here, we identify that GILT is able to facilitate anti-tumor immune surveillance via promoting MHC class I mediated-antigen presentation in colon carcinoma. By using mice model bearing colon tumors, we find that GILT inhibites tumor growth in vivo with more leucocytes infiltration but has no effect on tumor cell development in vitro in terms of proliferation, cell cycle and migration. Furthermore, by using transgenic OT-I mice, we recognize the tumor-expressing OVA peptide, a surrogate tumor antigen, we find that GILT is capable of enhancing MHC class I mediated antigen presentation and improving specific CD8 T cell anti-tumor responses in murine colon carcinoma. These findings propose the boost of GILT-MHC-I axis in tumors as a viable option for immune system against cancer.
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http://dx.doi.org/10.1016/j.imlet.2021.04.001DOI Listing
April 2021

Supported Pd2 Dual-atom Site Catalyst for Efficient Electrochemical CO2 Reduction.

Angew Chem Int Ed Engl 2021 Apr 4. Epub 2021 Apr 4.

Tsinghua University, Department of Chemistry, CHINA.

Dual-atom site catalysts (DACs) have emerged as a new frontier in heterogeneous catalysis because the synergistic effect between adjacent metal atoms can promote their catalytic activity while maintaining the advantages of single-atom site catalysts (SACs), like 100% atomic utilization efficiency and excellent selectivity. Herein, a supported Pd 2 DAC was synthesized and used for electrochemical CO 2 reduction reaction (CO 2 RR) for the first time. The as-obtained Pd 2 DAC exhibited superior CO 2 RR catalytic performance with 98.2% FE CO at -0.85 V vs. RHE, far exceeding that of Pd 1 SAC, and coupled with long-term stability. The density functional theory (DFT) calculations revealed that the intrinsic reason for the superior activity of Pd 2 DAC toward CO 2 RR was the electron transfer between Pd atoms at the dimeric Pd sites. Thus, Pd 2 DAC possessed moderate adsorption strength of CO*, which was beneficial for CO production in CO 2 RR.
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http://dx.doi.org/10.1002/anie.202101559DOI Listing
April 2021

MYB-Mediated Regulation of Anthocyanin Biosynthesis.

Int J Mol Sci 2021 Mar 18;22(6). Epub 2021 Mar 18.

State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.

Anthocyanins are natural water-soluble pigments that are important in plants because they endow a variety of colors to vegetative tissues and reproductive plant organs, mainly ranging from red to purple and blue. The colors regulated by anthocyanins give plants different visual effects through different biosynthetic pathways that provide pigmentation for flowers, fruits and seeds to attract pollinators and seed dispersers. The biosynthesis of anthocyanins is genetically determined by structural and regulatory genes. MYB ( avian myeloblastosis viral oncogene homolog) proteins are important transcriptional regulators that play important roles in the regulation of plant secondary metabolism. MYB transcription factors (TFs) occupy a dominant position in the regulatory network of anthocyanin biosynthesis. The TF conserved binding motifs can be combined with other TFs to regulate the enrichment and sedimentation of anthocyanins. In this study, the regulation of anthocyanin biosynthetic mechanisms of MYB-TFs are discussed. The role of the environment in the control of the anthocyanin biosynthesis network is summarized, the complex formation of anthocyanins and the mechanism of environment-induced anthocyanin synthesis are analyzed. Some prospects for MYB-TF to modulate the comprehensive regulation of anthocyanins are put forward, to provide a more relevant basis for further research in this field, and to guide the directed genetic modification of anthocyanins for the improvement of crops for food quality, nutrition and human health.
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http://dx.doi.org/10.3390/ijms22063103DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002911PMC
March 2021

Congenital dyserythropoietic anemia and drug-induced liver injury present as bland cholestasis: A case report.

Exp Ther Med 2021 May 2;21(5):456. Epub 2021 Mar 2.

Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, P.R. China.

Anemias and drug-induced liver injury(DILI) are separate disorders, which are difficult to diagnose. The clinical effects of DILI vary among individuals. However, the outcome determinants remain to be fully established. To the best of our knowledge, the role of anemia in DILI has yet to be reported. The present study reported on the case of one Chinese patient (male; age, 21 years) who experienced obvious drug-induced cholestasis. Of note, the hepatocyte injury was minimal compared with that in previously reported cases treated with the same drug. In addition, the patient suffered from mild hemolytic anemia with no obvious cause. A genetic pedigree analysis revealed compound heterozygous mutations in the congenital anemia-associated gene codanin 1, including the novel rare p.R1067H mutation. Treatment with ursodeoxycholic acid alone sufficed and the outcome was good. Therefore, whilst chronic hemolysis predisposed the liver to cholestasis, it could have shielded the liver from further injuries, since bilirubin, a by-product of hemolysis, is a known antioxidant. The results of the present study indicated that genetic screening may be used for the diagnosis of liver injury concurring with undiagnosed anemia.
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http://dx.doi.org/10.3892/etm.2021.9887DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967802PMC
May 2021

The Bioequivalence of Emulsified Isoflurane With a New Formulation of Emulsion: A Single-Center, Single-Dose, Double-Blinded, Randomized, Two-Period Crossover Study.

Front Pharmacol 2021 10;12:626307. Epub 2021 Mar 10.

Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.

Emulsified isoflurane is a novel intravenous general anesthetic obtained by encapsulating isoflurane molecules into emulsion. The formulation of emulsion has been improved according to the latest regulations of the China Food and Drug Administration. This study was designed to compare the bioequivalence of the new and previous formulation emulsion of isoflurane. In a single-center, single-dose, double-blinded, randomized, two-period crossover study, healthy volunteers received intravenous injection of 30 mg/kg of isoflurane with either previous formulation of emulsion isoflurane (PFEI) or new formulation of emulsion isoflurane (NFEI). Arterial and venous blood samples were obtained for geometric mean test/reference ratios of C, AUC, and AUC as well as their 90% confidence interval (CI90) as the primary outcome. The secondary outcomes were safety measurements such as vital signs, 12-lead electrocardiography, adverse effects, and laboratory tests; and anesthesia efficacy was assessed by Modified Observer's Assessment of Alertness/Sedation (MOAA/S) score, bispectral index (BIS), and loss/recovery of eyelash reflex. 24 subjects were eligible, of which 21 completed the whole experiment (NFEI n = 21, PFEI n = 23). Arterial geometric mean test/reference ratios of C, AUC, and AUC were 104.50% (CI90 92.81%-117.65%), 108.23% (94.51%-123.96%), and 106.53% (93.94%∼120.80%), respectively. The most commonly seen adverse effects for NFEI and PFEI were injection pain (38.1% vs. 34.8%), hypotension (19.0% vs. 13.0%), apnea (14.3% vs. 17.4%), and upper airway obstruction (14.3% vs. 13.0%). No severe adverse effect was observed. The effectiveness of general anesthesia was similar between the two formulations. The CI90 of C, AUC, AUC, NFEI, and PFEI were within the range of 80%-125%, suggesting bioequivalence between NFEI and PFEI. The safety and anesthesia effectiveness were also similar.
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http://dx.doi.org/10.3389/fphar.2021.626307DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988084PMC
March 2021

The Occurrence of rtA194T Mutant After Long-Term Lamivudine Monotherapy Remains Sensitive to Tenofovir Disoproxil Fumarate: A Case Report.

Infect Drug Resist 2021 15;14:1013-1017. Epub 2021 Mar 15.

Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Tenofovir disoproxil fumarate (TDF) is recommended as first-line agents in chronic hepatitis B (CHB) patients for its high antiviral effects and high barrier to resistance. It is controversial whether the rtA194T mutation truly confers resistance against TDF. We present here a 62-year-old CHB patient who occurred rtL180M, rtM204V and rtA194T mutants after lamivudine (LAM) monotherapy for 9 years. TDF was introduced in replacement of LAM and led to Hepatitis B Virus (HBV) DNA undetectable in 1 month, maintained in the follow up of 52 weeks. These observations suggest that rtA194T mutation emerges under LAM monotherapy and remains sensitive to TDF.
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http://dx.doi.org/10.2147/IDR.S295060DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979339PMC
March 2021

Exploring the mechanism of Cremastra Appendiculata (SUANPANQI) against breast cancer by network pharmacology and molecular docking.

Comput Biol Chem 2020 Oct 1:107396. Epub 2020 Oct 1.

School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China; Shaanxi Key Laboratory of "Qiyao" Resources and Anti-tumor Acitivities/Shanxi Plant Extract Engineering Technology Research Center, Xi'an, 710061, China. Electronic address:

Background: SUANPANQI, the pseudo phosphorous stem of Cremastra appendiculata, is one of the most well-known traditional Chinese medicine, which has been shown to inhibit tumorigenesis in various human cancers. However, the underlying mechanism of SUANPANQI treatment against breast cancer (BRCA) remains unclear. In this study. we aim to investigate the bioactive compounds and mechanisms of SUANPANQI in the treatment of BRCA based on network pharmacology and molecular docking.

Methods: The compounds were collected from previous research. SwissADME was used to screen bioactive compounds. The targets corresponding to SUANPANQI and BRCA were obtained using MalaCards and SwissTargetPrediction. SUANPANQI-related and BRCA-related targets were found and then overlapped to get intersections, which represented potential anti-BRCA targets of SUANPANQI. The Cytoscape software was used to construct bioactive compounds targeting the BRCA network. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the targets was extracted from the metascape database, then conducted using the Cluster Profiler package in R software. Protein-Protein interaction (PPI) network was constructed using the STRING online database and analyzed using Cytoscape software. Pivotal genes were screened using the topological analysis, survival analysis, and pathological stage analysis. Molecular docking analysis was used to verify whether the bioactive compounds had a definite affinity with the pivotal targets.

Results: Sixty-five bioactive compounds of SUANPANQI were involved with 225 predicted BRCA targets. Then, a compound-target network and a PPI network were constructed. The GO analysis and KEGG enrichment analysis suggested that SUANPANQI worked against BRCA via PI3K-Akt, Ras, FoxO, Rap1, and ErbB signaling pathways, etc. After topological analysis, survival analysis, and pathological stage analysis of the SUANPANQI potential targets against BRCA, 6 pivotal target genes (AR, HSP90AA1, MMP9, PGR, PTGS2, TNF) that were highly responsible for the therapeutic effects of SUANPANQI against BRCA were obtained. Molecular docking results showed that 6 bioactive compounds of SUANPANQI had strong binding efficiency with the 6 pivotal genes.

Conclusions: The present study clarifies the mechanism of SUANPANQI against BRCA through multiple targets and pathways, and provides evidence to support its clinical use.
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http://dx.doi.org/10.1016/j.compbiolchem.2020.107396DOI Listing
October 2020

A Risk Prediction Model by LASSO for Radiation-Induced Xerostomia in Patients With Nasopharyngeal Carcinoma Treated With Comprehensive Salivary Gland-Sparing Helical Tomotherapy Technique.

Front Oncol 2021 26;11:633556. Epub 2021 Feb 26.

Department of Radiation Oncology, Medical School of the Chinese People's Liberation Army (PLA), Beijing, China.

Objective: This study aimed to develop a least absolute shrinkage and selection operator (LASSO)-based multivariable normal tissue complication probability (NTCP) model to predict radiation-induced xerostomia in patients with nasopharyngeal carcinoma (NPC) treated with comprehensive salivary gland-sparing helical tomotherapy technique.

Methods And Materials: LASSO with the extended bootstrapping technique was used to build multivariable NTCP models to predict factors of patient-reported xerostomia relieved by 50% and 80% compared with the level at the end of radiation therapy within 1 year and 2 years, R50-1year and R80-2years, in 203 patients with NPC. The model assessment was based on 10-fold cross-validation and the area under the receiver operating characteristic curve (AUC).

Results: The prediction model by LASSO with 10-fold cross-validation showed that radiation-induced xerostomia recovery could be predicted by prognostic factors of R50-1year (age, gender, T stage, UICC/AJCC stage, parotid Dmean, oral cavity Dmean, and treatment options) and R80-2years (age, gender, T stage, UICC/AJCC stage, oral cavity Dmean, N stage, and treatment options). These prediction models also demonstrated a good performance by the AUC.

Conclusion: The prediction models of R50-1year and R80-2years by LASSO with 10-fold cross-validation were recommended to validate the NTCP model before comprehensive salivary gland-sparing radiation therapy in patients with NPC.
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http://dx.doi.org/10.3389/fonc.2021.633556DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953987PMC
February 2021

Integrative analysis regarding the correlation between GAS2 family genes and human glioma prognosis.

Cancer Med 2021 Apr 12;10(8):2826-2839. Epub 2021 Mar 12.

Department of Biochemistry and Molecular Biology, Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.

Background: Emerging oncogenes were reportedly linked to the complicated subtypes and pathogenesis of clinical gliomas. Herein, we first comprehensively explored the potential correlation between growth-arrest-specific two family genes (GAS2, GAS2L1, GAS2L2, GAS2L3) and gliomas by bioinformatics analysis and cellular experiments.

Methods: Based on the available datasets of TCGA (The Cancer Genome Atlas), CGGA (Chinese Glioma Genome Atlas), and Oncomine databases, we performed a series of analyses, such as gene expression, survival prognosis, DNA methylation, immune infiltration, and partner enrichment. We also utilized two glioma cell lines to conduct the colony formation and wound-healing assay.

Results: GAS2L3 gene was highly expressed in glioma tissues compared to normal brain tissues (p < 0.05). We further observed the relationship between the high expressed GAS2L3 and poor clinical prognosis of brain low-grade glioma (LGG) cases in our Cox proportional hazard model (hazard ratio [HR] = 0.1715, p < 0.001). Moreover, DNA hypomethylation status of GAS2L3 was correlated with the high expression of GAS2L3 in LGG tissues and the poor clinical prognosis of primary glioma cases (p < 0.05). We also found that the high expression of GAS2L3 was associated with the infiltration level of immune cells, especially the T cells (p < 0.0001). Functional enrichment analysis of GAS2L3-correlated genes and interaction partners further indicated that GAS2L3 might take part in the occurrence of glioma by influencing a series of biological behaviors, such as cell division, cytoskeleton binding, and cell adhesion. Additionally, our cellular experiment data suggested that a highly expressed GAS2L3 gene contributes to the enhanced proliferation and migration of glioma cells.

Conclusion: This study first analyzed the potential role of GAS2 family genes, especially GAS2L3, in the clinical prognosis and possible functional mechanisms of glioma, which gives a novel insight into the relationship between GAS2L3 and LGG.
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http://dx.doi.org/10.1002/cam4.3829DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026934PMC
April 2021

Cell-type-specific imaging of neurotransmission reveals a disrupted excitatory-inhibitory cortical network in isoflurane anaesthesia.

EBioMedicine 2021 Mar 7;65:103272. Epub 2021 Mar 7.

School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai 200030, China; Co-Innovation Center of Neuroregeneration, Nantong University, Nantong 226000, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200030, China. Electronic address:

Background: Despite the fundamental clinical significance of general anaesthesia, the cortical mechanism underlying anaesthetic-induced loss of consciousness (aLOC) remains elusive.

Methods: Here, we measured the dynamics of two major cortical neurotransmitters, gamma-aminobutyric acid (GABA) and glutamate, through in vivo two-photon imaging and genetically encoded neurotransmitter sensors in a cell type-specific manner in the primary visual (V1) cortex.

Findings: We found a general decrease in cortical GABA transmission during aLOC. However, the glutamate transmission varies among different cortical cell types, where in it is almost preserved on pyramidal cells and is significantly reduced on inhibitory interneurons. Cortical interneurons expressing vasoactive intestinal peptide (VIP) and parvalbumin (PV) specialize in disinhibitory and inhibitory effects, respectively. During aLOC, VIP neuronal activity was delayed, and PV neuronal activity was dramatically inhibited and highly synchronized.

Interpretation: These data reveal that aLOC resembles a cortical state with a disrupted excitatory-inhibitory network and suggest that a functional inhibitory network is indispensable in the maintenance of consciousness.

Funding: This work was supported by the grants of the National Natural Science Foundation of China (grant nos. 81620108012 and 82030038 to H.D. and grant nos. 31922029, 61890951, and 61890950 to J.H.).
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http://dx.doi.org/10.1016/j.ebiom.2021.103272DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941179PMC
March 2021

Sex Differences in the Prevalence of and Risk Factors for Abnormal Glucose Regulation in Adults Aged 50 Years or Older With Normal Fasting Plasma Glucose Levels.

Front Endocrinol (Lausanne) 2020 19;11:531796. Epub 2021 Feb 19.

Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China.

Aims: Abnormal glucose regulation, which can present as diabetes and prediabetes, has become one of the most common chronic conditions. However, sex differences in the prevalence of and factors associated with abnormal glucose regulation remain unclear. Thus, we aimed to explore sex differences in the prevalence of and factors associated with abnormal glucose regulation in low-income adults in China aged ≥50 years with normal fasting plasma glucose levels.

Materials And Methods: A total of 2,175 individuals aged ≥50 years with normal fasting plasma glucose levels were recruited into this study. After an overnight fast of at least 10 h, individuals underwent an oral glucose tolerance test. Fasting and 2-h plasma glucose levels were measured to determine the state of glucose regulation.

Results: Women were more likely than men to have isolated-impaired glucose tolerance (i-IGT) overall (24.7% vs 20.8%; P= 0.034), among individuals aged <65 years (21.7% vs 15.9%; P= 0.012). Among men, independent risk factors for i-IGT were an age of ≥65 years, hypertension, and high serum uric acid (SUA) and triglyceride levels; independent risk factors for diabetes mellitus (DM) were an age of ≥75 years and alcohol consumption. Among women, independent risk factors for i-IGT were central obesity and high levels of high-sensitivity C-reactive protein and SUA; independent risk factors for DM were low education and an elevated white blood cell count.

Conclusions: Our findings suggest that conventional cardiovascular disease risk factors (i.e., age, hypertension, and dyslipidemia) associated with high risk of developing DM in men, but poor life style (i.e., obesity) and low education attainment in women. It is necessary for delay or stopping the development of DM among low-income adults in China to implement the personalized scheme of prevention DM between men and women, especially highlight control the risk factors in young and middle aged women.
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http://dx.doi.org/10.3389/fendo.2020.531796DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933576PMC
February 2021

Unveiling the dynamic of water-electricity conflict within and beyond megacity boundary.

J Environ Manage 2021 May 4;286:112259. Epub 2021 Mar 4.

water@leeds, School of Civil Engineering, University of Leeds, Leeds, LS2 9JT, United Kingdom.

Electricity demand in megacities may exert substantial stress on water resources, which is often expressed through the water scarcity footprint for electricity consumption (WSFE). Conversely, water scarcity may constrain electricity production, leading to increased vulnerability for megacities electricity production. The WSFE and the water related vulnerability of electricity production reflect two aspects of water-electricity conflict. This varies over time by both the amount and location of electricity production. However, no studies have conducted time-series analysis to evaluate the trends of these two indicators, both in terms of severity and spatial characteristics. Our study focused on evaluating trends in water-electricity conflict both within and beyond megacity administrative boundaries. China's four provincial-level megacities, i.e. Beijing, Tianjin, Shanghai and Chongqing, were chosen as case studies. The results show that water related vulnerability of electricity production in Tianjin, Beijing, Shanghai and Chongqing was diverse and can be classified as extreme, severe, moderate and minor, respectively. Between 2006 and 2016, the WSFE of Tianjin experienced an increasing trend, and its water related vulnerability of electricity production remained at the highest level. Beijing's WSFE has decreased, but its water related vulnerability of electricity production has increased. These differing trends highlight the need for joint reductions to both WSFE and water related vulnerability of electricity production in mitigating water-electricity conflict.
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http://dx.doi.org/10.1016/j.jenvman.2021.112259DOI Listing
May 2021

METTL3-mediated mA mRNA modification of FBXW7 suppresses lung adenocarcinoma.

J Exp Clin Cancer Res 2021 Mar 6;40(1):90. Epub 2021 Mar 6.

Department of Respiratory Diseases, Xijing Hospital, Fourth Military Medical University, Chang-Le Xi Street #127, Xi'an, 710032, People's Republic of China.

Background: FBXW7 mA modification plays an important role in lung adenocarcinoma (LUAD) progression; however, the underlying mechanisms remain unclear.

Methods: The correlation between FBXW7 and various genes related to mA modification was analyzed using The Cancer Genome Atlas database. The regulatory effects of METTL3 on FBXW7 mRNA mA modification were examined in a cell model, and the underlying mechanism was determined by methylated RNA immunoprecipitation, RNA immunoprecipitation, luciferase reporter, and mutagenesis assays. In vitro experiments were performed to further explore the biological effects of METTL3-mediated FBXW7 mA modification on LUAD development.

Results: Decreased FBXW7 expression was accompanied by downregulated METTL3 expression in human LUAD tissues and was associated with a worse prognosis for LUAD in The Cancer Genome Atlas database. mA was highly enriched in METTL3-mediated FBXW7 transcripts, and increased mA modification in the coding sequence region increased its translation. Functionally, METTL3 overexpression or knockdown affected the apoptosis and proliferation phenotype of LUAD cells by regulating FBXW7 mA modification and expression. Furthermore, FBXW7 overexpression in METTL3-depleted cells partially restored LUAD cell suppression in vitro and in vivo.

Conclusions: Our findings reveal that METTL3 positively regulates FBXW7 expression and confirm the tumor-suppressive role of mA-modified FBXW7, thus providing insight into its epigenetic regulatory mechanisms in LUAD initiation and development.
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http://dx.doi.org/10.1186/s13046-021-01880-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936500PMC
March 2021

Age-specific reference intervals of serum anti-Müllerian hormone in Chinese girls.

Ann Clin Biochem 2021 Mar 31:45632211002879. Epub 2021 Mar 31.

Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Background: This study aimed to establish anti-Mullerian hormone age-specific reference intervals and determine the correlation between the anti-Mullerian hormone concentration and age, body mass index and concentrations of follicle-stimulating hormones and luteinizing hormone in healthy Chinese girls.

Methods: Serum anti-Mullerian hormone concentrations of 1702 healthy girls (0-12 years), recruited between March 2018 and December 2019, were determined using the Beckman Access 2 automated chemiluminescence immunoassay. Single-year-specific medians of anti-Mullerian hormone and effects of age, body mass index, follicle-stimulating hormone and luteinizing hormone on anti-Mullerian hormone concentration were analysed.

Results: The anti-Mullerian hormone median level continued increasing from birth, reached its peak at age 9 at 4.45 ng/mL (interquartile range [IQR] 2.58-6.90) and then gradually decreased. At age 12, the median reached 1.98 ng/mL (IQR 1.05-3.46). Age-specific reference intervals for anti-Mullerian hormone were established in healthy Chinese girls aged 0-12 years. Anti-Mullerian hormone concentrations showed a moderately positive correlation with age (r = 0.33,  < 0.001). In contrast, follicle-stimulating hormone (r = -0.29,  < 0.001) concentrations were weakly negatively correlated with the serum anti-Mullerian hormone concentration.

Conclusion: We established single-year-specific reference intervals for anti-Mullerian hormone in Chinese girls using the Beckman chemiluminescent platform. This reference range can help clinicians accurately understand anti-Mullerian hormone secretion in healthy girls and promote its clinical use.
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http://dx.doi.org/10.1177/00045632211002879DOI Listing
March 2021

Key proteins of proteome underlying sperm malformation of rats exposed to low fenvalerate doses are highly related to P53.

Environ Toxicol 2021 Jun 3;36(6):1181-1194. Epub 2021 Mar 3.

State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.

Fenvalerate (Fen) is an endocrine disruptor, capable of interfering with the activity of estrogen and androgen. Our objective was to explore the molecular mechanisms of Fen on sperm in vivo. Adult male Sprague-Dawley rats were orally exposed to 0, 0.00625, 0.125, 2.5, 30 mg/kg/day Fen for 8 weeks. Sperm morphology, differential proteomics of sperm and testes, bioinformatic analysis, western blotting (WB), and RT-PCR were used to explore the mechanism of Fen on sperm. Data showed that low Fen doses significantly induced sperm malformations. In sperm proteomics, 47 differentially expressed (DE) proteins were enriched in biological processes (BPs) related to energy metabolism, response to estrogen, spermatogenesis; and enriched in cellular components (CCs) relating to energy-metabolism, sperm fibrous sheath and their outer dense fibers. In testicular proteomics, 56 DE proteins were highly associated with mRNA splicing, energy metabolism; and enriched in CCs relating to vesicles, myelin sheath, microtubules, mitochondria. WB showed that the expression of selected proteins was identical to their tendency in 2D gels. Literature indicates that key DE proteins in proteomic profiles (such as Trap1, Hnrnpa2b1, Hnrnpk, Hspa8, and Gapdh) are involved in P53-related processes or morphogenesis or spermatogenesis. Also, P53 mRNA and protein levels were significantly increased by Fen; bioinformatic re-analysis showed that 88.5% DE proteins and P53 formed a complex interacting network, and the key DE proteins were coenriched with P53-related BPs. Results indicate that key DE proteins of proteome underlying sperm malformations of rats exposed to low Fen doses are highly related to P53.
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http://dx.doi.org/10.1002/tox.23117DOI Listing
June 2021

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition).

Authors:
Daniel J Klionsky Amal Kamal Abdel-Aziz Sara Abdelfatah Mahmoud Abdellatif Asghar Abdoli Steffen Abel Hagai Abeliovich Marie H Abildgaard Yakubu Princely Abudu Abraham Acevedo-Arozena Iannis E Adamopoulos Khosrow Adeli Timon E Adolph Annagrazia Adornetto Elma Aflaki Galila Agam Anupam Agarwal Bharat B Aggarwal Maria Agnello Patrizia Agostinis Javed N Agrewala Alexander Agrotis Patricia V Aguilar S Tariq Ahmad Zubair M Ahmed Ulises Ahumada-Castro Sonja Aits Shu Aizawa Yunus Akkoc Tonia Akoumianaki Hafize Aysin Akpinar Ahmed M Al-Abd Lina Al-Akra Abeer Al-Gharaibeh Moulay A Alaoui-Jamali Simon Alberti Elísabet Alcocer-Gómez Cristiano Alessandri Muhammad Ali M Abdul Alim Al-Bari Saeb Aliwaini Javad Alizadeh Eugènia Almacellas Alexandru Almasan Alicia Alonso Guillermo D Alonso Nihal Altan-Bonnet Dario C Altieri Élida M C Álvarez Sara Alves Cristine Alves da Costa Mazen M Alzaharna Marialaura Amadio Consuelo Amantini Cristina Amaral Susanna Ambrosio Amal O Amer Veena Ammanathan Zhenyi An Stig U Andersen Shaida A Andrabi Magaiver Andrade-Silva Allen M Andres Sabrina Angelini David Ann Uche C Anozie Mohammad Y Ansari Pedro Antas Adam Antebi Zuriñe Antón Tahira Anwar Lionel Apetoh Nadezda Apostolova Toshiyuki Araki Yasuhiro Araki Kohei Arasaki Wagner L Araújo Jun Araya Catherine Arden Maria-Angeles Arévalo Sandro Arguelles Esperanza Arias Jyothi Arikkath Hirokazu Arimoto Aileen R Ariosa Darius Armstrong-James Laetitia Arnauné-Pelloquin Angeles Aroca Daniela S Arroyo Ivica Arsov Rubén Artero Dalia Maria Lucia Asaro Michael Aschner Milad Ashrafizadeh Osnat Ashur-Fabian Atanas G Atanasov Alicia K Au Patrick Auberger Holger W Auner Laure Aurelian Riccardo Autelli Laura Avagliano Yenniffer Ávalos Sanja Aveic Célia Alexandra Aveleira Tamar Avin-Wittenberg Yucel Aydin Scott Ayton Srinivas Ayyadevara Maria Azzopardi Misuzu Baba Jonathan M Backer Steven K Backues Dong-Hun Bae Ok-Nam Bae Soo Han Bae Eric H Baehrecke Ahruem Baek Seung-Hoon Baek Sung Hee Baek Giacinto Bagetta Agnieszka Bagniewska-Zadworna Hua Bai Jie Bai Xiyuan Bai Yidong Bai Nandadulal Bairagi Shounak Baksi Teresa Balbi Cosima T Baldari Walter Balduini Andrea Ballabio Maria Ballester Salma Balazadeh Rena Balzan Rina Bandopadhyay Sreeparna Banerjee Sulagna Banerjee Ágnes Bánréti Yan Bao Mauricio S Baptista Alessandra Baracca Cristiana Barbati Ariadna Bargiela Daniela Barilà Peter G Barlow Sami J Barmada Esther Barreiro George E Barreto Jiri Bartek Bonnie Bartel Alberto Bartolome Gaurav R Barve Suresh H Basagoudanavar Diane C Bassham Robert C Bast Alakananda Basu Henri Batoko Isabella Batten Etienne E Baulieu Bradley L Baumgarner Jagadeesh Bayry Rupert Beale Isabelle Beau Florian Beaumatin Luiz R G Bechara George R Beck Michael F Beers Jakob Begun Christian Behrends Georg M N Behrens Roberto Bei Eloy Bejarano Shai Bel Christian Behl Amine Belaid Naïma Belgareh-Touzé Cristina Bellarosa Francesca Belleudi Melissa Belló Pérez Raquel Bello-Morales Jackeline Soares de Oliveira Beltran Sebastián Beltran Doris Mangiaracina Benbrook Mykolas Bendorius Bruno A Benitez Irene Benito-Cuesta Julien Bensalem Martin W Berchtold Sabina Berezowska Daniele Bergamaschi Matteo Bergami Andreas Bergmann Laura Berliocchi Clarisse Berlioz-Torrent Amélie Bernard Lionel Berthoux Cagri G Besirli Sebastien Besteiro Virginie M Betin Rudi Beyaert Jelena S Bezbradica Kiran Bhaskar Ingrid Bhatia-Kissova Resham Bhattacharya Sujoy Bhattacharya Shalmoli Bhattacharyya Md Shenuarin Bhuiyan Sujit Kumar Bhutia Lanrong Bi Xiaolin Bi Trevor J Biden Krikor Bijian Viktor A Billes Nadine Binart Claudia Bincoletto Asa B Birgisdottir Geir Bjorkoy Gonzalo Blanco Ana Blas-Garcia Janusz Blasiak Robert Blomgran Klas Blomgren Janice S Blum Emilio Boada-Romero Mirta Boban Kathleen Boesze-Battaglia Philippe Boeuf Barry Boland Pascale Bomont Paolo Bonaldo Srinivasa Reddy Bonam Laura Bonfili Juan S Bonifacino Brian A Boone Martin D Bootman Matteo Bordi Christoph Borner Beat C Bornhauser Gautam Borthakur Jürgen Bosch Santanu Bose Luis M Botana Juan Botas Chantal M Boulanger Michael E Boulton Mathieu Bourdenx Benjamin Bourgeois Nollaig M Bourke Guilhem Bousquet Patricia Boya Peter V Bozhkov Luiz H M Bozi Tolga O Bozkurt Doug E Brackney Christian H Brandts Ralf J Braun Gerhard H Braus Roberto Bravo-Sagua José M Bravo-San Pedro Patrick Brest Marie-Agnès Bringer Alfredo Briones-Herrera V Courtney Broaddus Peter Brodersen Jeffrey L Brodsky Steven L Brody Paola G Bronson Jeff M Bronstein Carolyn N Brown Rhoderick E Brown Patricia C Brum John H Brumell Nicola Brunetti-Pierri Daniele Bruno Robert J Bryson-Richardson Cecilia Bucci Carmen Buchrieser Marta Bueno Laura Elisa Buitrago-Molina Simone Buraschi Shilpa Buch J Ross Buchan Erin M Buckingham Hikmet Budak Mauricio Budini Geert Bultynck Florin Burada Joseph R Burgoyne M Isabel Burón Victor Bustos Sabrina Büttner Elena Butturini Aaron Byrd Isabel Cabas Sandra Cabrera-Benitez Ken Cadwell Jingjing Cai Lu Cai Qian Cai Montserrat Cairó Jose A Calbet Guy A Caldwell Kim A Caldwell Jarrod A Call Riccardo Calvani Ana C Calvo Miguel Calvo-Rubio Barrera Niels Os Camara Jacques H Camonis Nadine Camougrand Michelangelo Campanella Edward M Campbell François-Xavier Campbell-Valois Silvia Campello Ilaria Campesi Juliane C Campos Olivier Camuzard Jorge Cancino Danilo Candido de Almeida Laura Canesi Isabella Caniggia Barbara Canonico Carles Cantí Bin Cao Michele Caraglia Beatriz Caramés Evie H Carchman Elena Cardenal-Muñoz Cesar Cardenas Luis Cardenas Sandra M Cardoso Jennifer S Carew Georges F Carle Gillian Carleton Silvia Carloni Didac Carmona-Gutierrez Leticia A Carneiro Oliana Carnevali Julian M Carosi Serena Carra Alice Carrier Lucie Carrier Bernadette Carroll A Brent Carter Andreia Neves Carvalho Magali Casanova Caty Casas Josefina Casas Chiara Cassioli Eliseo F Castillo Karen Castillo Sonia Castillo-Lluva Francesca Castoldi Marco Castori Ariel F Castro Margarida Castro-Caldas Javier Castro-Hernandez Susana Castro-Obregon Sergio D Catz Claudia Cavadas Federica Cavaliere Gabriella Cavallini Maria Cavinato Maria L Cayuela Paula Cebollada Rica Valentina Cecarini Francesco Cecconi Marzanna Cechowska-Pasko Simone Cenci Victòria Ceperuelo-Mallafré João J Cerqueira Janete M Cerutti Davide Cervia Vildan Bozok Cetintas Silvia Cetrullo Han-Jung Chae Andrei S Chagin Chee-Yin Chai Gopal Chakrabarti Oishee Chakrabarti Tapas Chakraborty Trinad Chakraborty Mounia Chami Georgios Chamilos David W Chan Edmond Y W Chan Edward D Chan H Y Edwin Chan Helen H Chan Hung Chan Matthew T V Chan Yau Sang Chan Partha K Chandra Chih-Peng Chang Chunmei Chang Hao-Chun Chang Kai Chang Jie Chao Tracey Chapman Nicolas Charlet-Berguerand Samrat Chatterjee Shail K Chaube Anu Chaudhary Santosh Chauhan Edward Chaum Frédéric Checler Michael E Cheetham Chang-Shi Chen Guang-Chao Chen Jian-Fu Chen Liam L Chen Leilei Chen Lin Chen Mingliang Chen Mu-Kuan Chen Ning Chen Quan Chen Ruey-Hwa Chen Shi Chen Wei Chen Weiqiang Chen Xin-Ming Chen Xiong-Wen Chen Xu Chen Yan Chen Ye-Guang Chen Yingyu Chen Yongqiang Chen Yu-Jen Chen Yue-Qin Chen Zhefan Stephen Chen Zhi Chen Zhi-Hua Chen Zhijian J Chen Zhixiang Chen Hanhua Cheng Jun Cheng Shi-Yuan Cheng Wei Cheng Xiaodong Cheng Xiu-Tang Cheng Yiyun Cheng Zhiyong Cheng Zhong Chen Heesun Cheong Jit Kong Cheong Boris V Chernyak Sara Cherry Chi Fai Randy Cheung Chun Hei Antonio Cheung King-Ho Cheung Eric Chevet Richard J Chi Alan Kwok Shing Chiang Ferdinando Chiaradonna Roberto Chiarelli Mario Chiariello Nathalia Chica Susanna Chiocca Mario Chiong Shih-Hwa Chiou Abhilash I Chiramel Valerio Chiurchiù Dong-Hyung Cho Seong-Kyu Choe Augustine M K Choi Mary E Choi Kamalika Roy Choudhury Norman S Chow Charleen T Chu Jason P Chua John Jia En Chua Hyewon Chung Kin Pan Chung Seockhoon Chung So-Hyang Chung Yuen-Li Chung Valentina Cianfanelli Iwona A Ciechomska Mariana Cifuentes Laura Cinque Sebahattin Cirak Mara Cirone Michael J Clague Robert Clarke Emilio Clementi Eliana M Coccia Patrice Codogno Ehud Cohen Mickael M Cohen Tania Colasanti Fiorella Colasuonno Robert A Colbert Anna Colell Miodrag Čolić Nuria S Coll Mark O Collins María I Colombo Daniel A Colón-Ramos Lydie Combaret Sergio Comincini Márcia R Cominetti Antonella Consiglio Andrea Conte Fabrizio Conti Viorica Raluca Contu Mark R Cookson Kevin M Coombs Isabelle Coppens Maria Tiziana Corasaniti Dale P Corkery Nils Cordes Katia Cortese Maria do Carmo Costa Sarah Costantino Paola Costelli Ana Coto-Montes Peter J Crack Jose L Crespo Alfredo Criollo Valeria Crippa Riccardo Cristofani Tamas Csizmadia Antonio Cuadrado Bing Cui Jun Cui Yixian Cui Yong Cui Emmanuel Culetto Andrea C Cumino Andrey V Cybulsky Mark J Czaja Stanislaw J Czuczwar Stefania D'Adamo Marcello D'Amelio Daniela D'Arcangelo Andrew C D'Lugos Gabriella D'Orazi James A da Silva Hormos Salimi Dafsari Ruben K Dagda Yasin Dagdas Maria Daglia Xiaoxia Dai Yun Dai Yuyuan Dai Jessica Dal Col Paul Dalhaimer Luisa Dalla Valle Tobias Dallenga Guillaume Dalmasso Markus Damme Ilaria Dando Nico P Dantuma April L Darling Hiranmoy Das Srinivasan Dasarathy Santosh K Dasari Srikanta Dash Oliver Daumke Adrian N Dauphinee Jeffrey S Davies Valeria A Dávila Roger J Davis Tanja Davis Sharadha Dayalan Naidu Francesca De Amicis Karolien De Bosscher Francesca De Felice Lucia De Franceschi Chiara De Leonibus Mayara G de Mattos Barbosa Guido R Y De Meyer Angelo De Milito Cosimo De Nunzio Clara De Palma Mauro De Santi Claudio De Virgilio Daniela De Zio Jayanta Debnath Brian J DeBosch Jean-Paul Decuypere Mark A Deehan Gianluca Deflorian James DeGregori Benjamin Dehay Gabriel Del Rio Joe R Delaney Lea M D Delbridge Elizabeth Delorme-Axford M Victoria Delpino Francesca Demarchi Vilma Dembitz Nicholas D Demers Hongbin Deng Zhiqiang Deng Joern Dengjel Paul Dent Donna Denton Melvin L DePamphilis Channing J Der Vojo Deretic Albert Descoteaux Laura Devis Sushil Devkota Olivier Devuyst Grant Dewson Mahendiran Dharmasivam Rohan Dhiman Diego di Bernardo Manlio Di Cristina Fabio Di Domenico Pietro Di Fazio Alessio Di Fonzo Giovanni Di Guardo Gianni M Di Guglielmo Luca Di Leo Chiara Di Malta Alessia Di Nardo Martina Di Rienzo Federica Di Sano George Diallinas Jiajie Diao Guillermo Diaz-Araya Inés Díaz-Laviada Jared M Dickinson Marc Diederich Mélanie Dieudé Ivan Dikic Shiping Ding Wen-Xing Ding Luciana Dini Jelena Dinić Miroslav Dinic Albena T Dinkova-Kostova Marc S Dionne Jörg H W Distler Abhinav Diwan Ian M C Dixon Mojgan Djavaheri-Mergny Ina Dobrinski Oxana Dobrovinskaya Radek Dobrowolski Renwick C J Dobson Jelena Đokić Serap Dokmeci Emre Massimo Donadelli Bo Dong Xiaonan Dong Zhiwu Dong Gerald W Dorn Ii Volker Dotsch Huan Dou Juan Dou Moataz Dowaidar Sami Dridi Liat Drucker Ailian Du Caigan Du Guangwei Du Hai-Ning Du Li-Lin Du André du Toit Shao-Bin Duan Xiaoqiong Duan Sónia P Duarte Anna Dubrovska Elaine A Dunlop Nicolas Dupont Raúl V Durán Bilikere S Dwarakanath Sergey A Dyshlovoy Darius Ebrahimi-Fakhari Leopold Eckhart Charles L Edelstein Thomas Efferth Eftekhar Eftekharpour Ludwig Eichinger Nabil Eid Tobias Eisenberg N Tony Eissa Sanaa Eissa Miriam Ejarque Abdeljabar El Andaloussi Nazira El-Hage Shahenda El-Naggar Anna Maria Eleuteri Eman S El-Shafey Mohamed Elgendy Aristides G Eliopoulos María M Elizalde Philip M Elks Hans-Peter Elsasser Eslam S Elsherbiny Brooke M Emerling N C Tolga Emre Christina H Eng Nikolai Engedal Anna-Mart Engelbrecht Agnete S T Engelsen Jorrit M Enserink Ricardo Escalante Audrey Esclatine Mafalda Escobar-Henriques Eeva-Liisa Eskelinen Lucile Espert Makandjou-Ola Eusebio Gemma Fabrias Cinzia Fabrizi Antonio Facchiano Francesco Facchiano Bengt Fadeel Claudio Fader Alex C Faesen W Douglas Fairlie Alberto Falcó Bjorn H Falkenburger Daping Fan Jie Fan Yanbo Fan Evandro F Fang Yanshan Fang Yognqi Fang Manolis Fanto Tamar Farfel-Becker Mathias Faure Gholamreza Fazeli Anthony O Fedele Arthur M Feldman Du Feng Jiachun Feng Lifeng Feng Yibin Feng Yuchen Feng Wei Feng Thais Fenz Araujo Thomas A Ferguson Álvaro F Fernández Jose C Fernandez-Checa Sonia Fernández-Veledo Alisdair R Fernie Anthony W Ferrante Alessandra Ferraresi Merari F Ferrari Julio C B Ferreira Susan Ferro-Novick Antonio Figueras Riccardo Filadi Nicoletta Filigheddu Eduardo Filippi-Chiela Giuseppe Filomeni Gian Maria Fimia Vittorio Fineschi Francesca Finetti Steven Finkbeiner Edward A Fisher Paul B Fisher Flavio Flamigni Steven J Fliesler Trude H Flo Ida Florance Oliver Florey Tullio Florio Erika Fodor Carlo Follo Edward A Fon Antonella Forlino Francesco Fornai Paola Fortini Anna Fracassi Alessandro Fraldi Brunella Franco Rodrigo Franco Flavia Franconi Lisa B Frankel Scott L Friedman Leopold F Fröhlich Gema Frühbeck Jose M Fuentes Yukio Fujiki Naonobu Fujita Yuuki Fujiwara Mitsunori Fukuda Simone Fulda Luc Furic Norihiko Furuya Carmela Fusco Michaela U Gack Lidia Gaffke Sehamuddin Galadari Alessia Galasso Maria F Galindo Sachith Gallolu Kankanamalage Lorenzo Galluzzi Vincent Galy Noor Gammoh Boyi Gan Ian G Ganley Feng Gao Hui Gao Minghui Gao Ping Gao Shou-Jiang Gao Wentao Gao Xiaobo Gao Ana Garcera Maria Noé Garcia Verónica E Garcia Francisco García-Del Portillo Vega Garcia-Escudero Aracely Garcia-Garcia Marina Garcia-Macia Diana García-Moreno Carmen Garcia-Ruiz Patricia García-Sanz Abhishek D Garg Ricardo Gargini Tina Garofalo Robert F Garry Nils C Gassen Damian Gatica Liang Ge Wanzhong Ge Ruth Geiss-Friedlander Cecilia Gelfi Pascal Genschik Ian E Gentle Valeria Gerbino Christoph Gerhardt Kyla Germain Marc Germain David A Gewirtz Elham Ghasemipour Afshar Saeid Ghavami Alessandra Ghigo Manosij Ghosh Georgios Giamas Claudia Giampietri Alexandra Giatromanolaki Gary E Gibson Spencer B Gibson Vanessa Ginet Edward Giniger Carlotta Giorgi Henrique Girao Stephen E Girardin Mridhula Giridharan Sandy Giuliano Cecilia Giulivi Sylvie Giuriato Julien Giustiniani Alexander Gluschko Veit Goder Alexander Goginashvili Jakub Golab David C Goldstone Anna Golebiewska Luciana R Gomes Rodrigo Gomez Rubén Gómez-Sánchez Maria Catalina Gomez-Puerto Raquel Gomez-Sintes Qingqiu Gong Felix M Goni Javier González-Gallego Tomas Gonzalez-Hernandez Rosa A Gonzalez-Polo Jose A Gonzalez-Reyes Patricia González-Rodríguez Ing Swie Goping Marina S Gorbatyuk Nikolai V Gorbunov Kıvanç Görgülü Roxana M Gorojod Sharon M Gorski Sandro Goruppi Cecilia Gotor Roberta A Gottlieb Illana Gozes Devrim Gozuacik Martin Graef Markus H Gräler Veronica Granatiero Daniel Grasso Joshua P Gray Douglas R Green Alexander Greenhough Stephen L Gregory Edward F Griffin Mark W Grinstaff Frederic Gros Charles Grose Angelina S Gross Florian Gruber Paolo Grumati Tilman Grune Xueyan Gu Jun-Lin Guan Carlos M Guardia Kishore Guda Flora Guerra Consuelo Guerri Prasun Guha Carlos Guillén Shashi Gujar Anna Gukovskaya Ilya Gukovsky Jan Gunst Andreas Günther Anyonya R Guntur Chuanyong Guo Chun Guo Hongqing Guo Lian-Wang Guo Ming Guo Pawan Gupta Shashi Kumar Gupta Swapnil Gupta Veer Bala Gupta Vivek Gupta Asa B Gustafsson David D Gutterman Ranjitha H B Annakaisa Haapasalo James E Haber Aleksandra Hać Shinji Hadano Anders J Hafrén Mansour Haidar Belinda S Hall Gunnel Halldén Anne Hamacher-Brady Andrea Hamann Maho Hamasaki Weidong Han Malene Hansen Phyllis I Hanson Zijian Hao Masaru Harada Ljubica Harhaji-Trajkovic Nirmala Hariharan Nigil Haroon James Harris Takafumi Hasegawa Noor Hasima Nagoor Jeffrey A Haspel Volker Haucke Wayne D Hawkins Bruce A Hay Cole M Haynes Soren B Hayrabedyan Thomas S Hays Congcong He Qin He Rong-Rong He You-Wen He Yu-Ying He Yasser Heakal Alexander M Heberle J Fielding Hejtmancik Gudmundur Vignir Helgason Vanessa Henkel Marc Herb Alexander Hergovich Anna Herman-Antosiewicz Agustín Hernández Carlos Hernandez Sergio Hernandez-Diaz Virginia Hernandez-Gea Amaury Herpin Judit Herreros Javier H Hervás Daniel Hesselson Claudio Hetz Volker T Heussler Yujiro Higuchi Sabine Hilfiker Joseph A Hill William S Hlavacek Emmanuel A Ho Idy H T Ho Philip Wing-Lok Ho Shu-Leong Ho Wan Yun Ho G Aaron Hobbs Mark Hochstrasser Peter H M Hoet Daniel Hofius Paul Hofman Annika Höhn Carina I Holmberg Jose R Hombrebueno Chang-Won Hong Yi-Ren Hong Lora V Hooper Thorsten Hoppe Rastislav Horos Yujin Hoshida I-Lun Hsin Hsin-Yun Hsu Bing Hu Dong Hu Li-Fang Hu Ming Chang Hu Ronggui Hu Wei Hu Yu-Chen Hu Zhuo-Wei Hu Fang Hua Jinlian Hua Yingqi Hua Chongmin Huan Canhua Huang Chuanshu Huang Chuanxin Huang Chunling Huang Haishan Huang Kun Huang Michael L H Huang Rui Huang Shan Huang Tianzhi Huang Xing Huang Yuxiang Jack Huang Tobias B Huber Virginie Hubert Christian A Hubner Stephanie M Hughes William E Hughes Magali Humbert Gerhard Hummer James H Hurley Sabah Hussain Salik Hussain Patrick J Hussey Martina Hutabarat Hui-Yun Hwang Seungmin Hwang Antonio Ieni Fumiyo Ikeda Yusuke Imagawa Yuzuru Imai Carol Imbriano Masaya Imoto Denise M Inman Ken Inoki Juan Iovanna Renato V Iozzo Giuseppe Ippolito Javier E Irazoqui Pablo Iribarren Mohd Ishaq Makoto Ishikawa Nestor Ishimwe Ciro Isidoro Nahed Ismail Shohreh Issazadeh-Navikas Eisuke Itakura Daisuke Ito Davor Ivankovic Saška Ivanova Anand Krishnan V Iyer José M Izquierdo Masanori Izumi Marja Jäättelä Majid Sakhi Jabir William T Jackson Nadia Jacobo-Herrera Anne-Claire Jacomin Elise Jacquin Pooja Jadiya Hartmut Jaeschke Chinnaswamy Jagannath Arjen J Jakobi Johan Jakobsson Bassam Janji Pidder Jansen-Dürr Patric J Jansson Jonathan Jantsch Sławomir Januszewski Alagie Jassey Steve Jean Hélène Jeltsch-David Pavla Jendelova Andreas Jenny Thomas E Jensen Niels Jessen Jenna L Jewell Jing Ji Lijun Jia Rui Jia Liwen Jiang Qing Jiang Richeng Jiang Teng Jiang Xuejun Jiang Yu Jiang Maria Jimenez-Sanchez Eun-Jung Jin Fengyan Jin Hongchuan Jin Li Jin Luqi Jin Meiyan Jin Si Jin Eun-Kyeong Jo Carine Joffre Terje Johansen Gail V W Johnson Simon A Johnston Eija Jokitalo Mohit Kumar Jolly Leo A B Joosten Joaquin Jordan Bertrand Joseph Dianwen Ju Jeong-Sun Ju Jingfang Ju Esmeralda Juárez Delphine Judith Gábor Juhász Youngsoo Jun Chang Hwa Jung Sung-Chul Jung Yong Keun Jung Heinz Jungbluth Johannes Jungverdorben Steffen Just Kai Kaarniranta Allen Kaasik Tomohiro Kabuta Daniel Kaganovich Alon Kahana Renate Kain Shinjo Kajimura Maria Kalamvoki Manjula Kalia Danuta S Kalinowski Nina Kaludercic Ioanna Kalvari Joanna Kaminska Vitaliy O Kaminskyy Hiromitsu Kanamori Keizo Kanasaki Chanhee Kang Rui Kang Sang Sun Kang Senthilvelrajan Kaniyappan Tomotake Kanki Thirumala-Devi Kanneganti Anumantha G Kanthasamy Arthi Kanthasamy Marc Kantorow Orsolya Kapuy Michalis V Karamouzis Md Razaul Karim Parimal Karmakar Rajesh G Katare Masaru Kato Stefan H E Kaufmann Anu Kauppinen Gur P Kaushal Susmita Kaushik Kiyoshi Kawasaki Kemal Kazan Po-Yuan Ke Damien J Keating Ursula Keber John H Kehrl Kate E Keller Christian W Keller Jongsook Kim Kemper Candia M Kenific Oliver Kepp Stephanie Kermorgant Andreas Kern Robin Ketteler Tom G Keulers Boris Khalfin Hany Khalil Bilon Khambu Shahid Y Khan Vinoth Kumar Megraj Khandelwal Rekha Khandia Widuri Kho Noopur V Khobrekar Sataree Khuansuwan Mukhran Khundadze Samuel A Killackey Dasol Kim Deok Ryong Kim Do-Hyung Kim Dong-Eun Kim Eun Young Kim Eun-Kyoung Kim Hak-Rim Kim Hee-Sik Kim Hyung-Ryong Kim Jeong Hun Kim Jin Kyung Kim Jin-Hoi Kim Joungmok Kim Ju Hwan Kim Keun Il Kim Peter K Kim Seong-Jun Kim Scot R Kimball Adi Kimchi Alec C Kimmelman Tomonori Kimura Matthew A King Kerri J Kinghorn Conan G Kinsey Vladimir Kirkin Lorrie A Kirshenbaum Sergey L Kiselev Shuji Kishi Katsuhiko Kitamoto Yasushi Kitaoka Kaio Kitazato Richard N Kitsis Josef T Kittler Ole Kjaerulff Peter S Klein Thomas Klopstock Jochen Klucken Helene Knævelsrud Roland L Knorr Ben C B Ko Fred Ko Jiunn-Liang Ko Hotaka Kobayashi Satoru Kobayashi Ina Koch Jan C Koch Ulrich Koenig Donat Kögel Young Ho Koh Masato Koike Sepp D Kohlwein Nur M Kocaturk Masaaki Komatsu Jeannette König Toru Kono Benjamin T Kopp Tamas Korcsmaros Gözde Korkmaz Viktor I Korolchuk Mónica Suárez Korsnes Ali Koskela Janaiah Kota Yaichiro Kotake Monica L Kotler Yanjun Kou Michael I Koukourakis Evangelos Koustas Attila L Kovacs Tibor Kovács Daisuke Koya Tomohiro Kozako Claudine Kraft Dimitri Krainc Helmut Krämer Anna D Krasnodembskaya Carole Kretz-Remy Guido Kroemer Nicholas T Ktistakis Kazuyuki Kuchitsu Sabine Kuenen Lars Kuerschner Thomas Kukar Ajay Kumar Ashok Kumar Deepak Kumar Dhiraj Kumar Sharad Kumar Shinji Kume Caroline Kumsta Chanakya N Kundu Mondira Kundu Ajaikumar B Kunnumakkara Lukasz Kurgan Tatiana G Kutateladze Ozlem Kutlu SeongAe Kwak Ho Jeong Kwon Taeg Kyu Kwon Yong Tae Kwon Irene Kyrmizi Albert La Spada Patrick Labonté Sylvain Ladoire Ilaria Laface Frank Lafont Diane C Lagace Vikramjit Lahiri Zhibing Lai Angela S Laird Aparna Lakkaraju Trond Lamark Sheng-Hui Lan Ane Landajuela Darius J R Lane Jon D Lane Charles H Lang Carsten Lange Ülo Langel Rupert Langer Pierre Lapaquette Jocelyn Laporte Nicholas F LaRusso Isabel Lastres-Becker Wilson Chun Yu Lau Gordon W Laurie Sergio Lavandero Betty Yuen Kwan Law Helen Ka-Wai Law Rob Layfield Weidong Le Herve Le Stunff Alexandre Y Leary Jean-Jacques Lebrun Lionel Y W Leck Jean-Philippe Leduc-Gaudet Changwook Lee Chung-Pei Lee Da-Hye Lee Edward B Lee Erinna F Lee Gyun Min Lee He-Jin Lee Heung Kyu Lee Jae Man Lee Jason S Lee Jin-A Lee Joo-Yong Lee Jun Hee Lee Michael Lee Min Goo Lee Min Jae Lee Myung-Shik Lee Sang Yoon Lee Seung-Jae Lee Stella Y Lee Sung Bae Lee Won Hee Lee Ying-Ray Lee Yong-Ho Lee Youngil Lee Christophe Lefebvre Renaud Legouis Yu L Lei Yuchen Lei Sergey Leikin Gerd Leitinger Leticia Lemus Shuilong Leng Olivia Lenoir Guido Lenz Heinz Josef Lenz Paola Lenzi Yolanda León Andréia M Leopoldino Christoph Leschczyk Stina Leskelä Elisabeth Letellier Chi-Ting Leung Po Sing Leung Jeremy S Leventhal Beth Levine Patrick A Lewis Klaus Ley Bin Li Da-Qiang Li Jianming Li Jing Li Jiong Li Ke Li Liwu Li Mei Li Min Li Min Li Ming Li Mingchuan Li Pin-Lan Li Ming-Qing Li Qing Li Sheng Li Tiangang Li Wei Li Wenming Li Xue Li Yi-Ping Li Yuan Li Zhiqiang Li Zhiyong Li Zhiyuan Li Jiqin Lian Chengyu Liang Qiangrong Liang Weicheng Liang Yongheng Liang YongTian Liang Guanghong Liao Lujian Liao Mingzhi Liao Yung-Feng Liao Mariangela Librizzi Pearl P Y Lie Mary A Lilly Hyunjung J Lim Thania R R Lima Federica Limana Chao Lin Chih-Wen Lin Dar-Shong Lin Fu-Cheng Lin Jiandie D Lin Kurt M Lin Kwang-Huei Lin Liang-Tzung Lin Pei-Hui Lin Qiong Lin Shaofeng Lin Su-Ju Lin Wenyu Lin Xueying Lin Yao-Xin Lin Yee-Shin Lin Rafael Linden Paula Lindner Shuo-Chien Ling Paul Lingor Amelia K Linnemann Yih-Cherng Liou Marta M Lipinski Saška Lipovšek Vitor A Lira Natalia Lisiak Paloma B Liton Chao Liu Ching-Hsuan Liu Chun-Feng Liu Cui Hua Liu Fang Liu Hao Liu Hsiao-Sheng Liu Hua-Feng Liu Huifang Liu Jia Liu Jing Liu Julia Liu Leyuan Liu Longhua Liu Meilian Liu Qin Liu Wei Liu Wende Liu Xiao-Hong Liu Xiaodong Liu Xingguo Liu Xu Liu Xuedong Liu Yanfen Liu Yang Liu Yang Liu Yueyang Liu Yule Liu J Andrew Livingston Gerard Lizard Jose M Lizcano Senka Ljubojevic-Holzer Matilde E LLeonart David Llobet-Navàs Alicia Llorente Chih Hung Lo Damián Lobato-Márquez Qi Long Yun Chau Long Ben Loos Julia A Loos Manuela G López Guillermo López-Doménech José Antonio López-Guerrero Ana T López-Jiménez Óscar López-Pérez Israel López-Valero Magdalena J Lorenowicz Mar Lorente Peter Lorincz Laura Lossi Sophie Lotersztajn Penny E Lovat Jonathan F Lovell Alenka Lovy Péter Lőw Guang Lu Haocheng Lu Jia-Hong Lu Jin-Jian Lu Mengji Lu Shuyan Lu Alessandro Luciani John M Lucocq Paula Ludovico Micah A Luftig Morten Luhr Diego Luis-Ravelo Julian J Lum Liany Luna-Dulcey Anders H Lund Viktor K Lund Jan D Lünemann Patrick Lüningschrör Honglin Luo Rongcan Luo Shouqing Luo Zhi Luo Claudio Luparello Bernhard Lüscher Luan Luu Alex Lyakhovich Konstantin G Lyamzaev Alf Håkon Lystad Lyubomyr Lytvynchuk Alvin C Ma Changle Ma Mengxiao Ma Ning-Fang Ma Quan-Hong Ma Xinliang Ma Yueyun Ma Zhenyi Ma Ormond A MacDougald Fernando Macian Gustavo C MacIntosh Jeffrey P MacKeigan Kay F Macleod Sandra Maday Frank Madeo Muniswamy Madesh Tobias Madl Julio Madrigal-Matute Akiko Maeda Yasuhiro Maejima Marta Magarinos Poornima Mahavadi Emiliano Maiani Kenneth Maiese Panchanan Maiti Maria Chiara Maiuri Barbara Majello Michael B Major Elena Makareeva Fayaz Malik Karthik Mallilankaraman Walter Malorni Alina Maloyan Najiba Mammadova Gene Chi Wai Man Federico Manai Joseph D Mancias Eva-Maria Mandelkow Michael A Mandell Angelo A Manfredi Masoud H Manjili Ravi Manjithaya Patricio Manque Bella B Manshian Raquel Manzano Claudia Manzoni Kai Mao Cinzia Marchese Sandrine Marchetti Anna Maria Marconi Fabrizio Marcucci Stefania Mardente Olga A Mareninova Marta Margeta Muriel Mari Sara Marinelli Oliviero Marinelli Guillermo Mariño Sofia Mariotto Richard S Marshall Mark R Marten Sascha Martens Alexandre P J Martin Katie R Martin Sara Martin Shaun Martin Adrián Martín-Segura Miguel A Martín-Acebes Inmaculada Martin-Burriel Marcos Martin-Rincon Paloma Martin-Sanz José A Martina Wim Martinet Aitor Martinez Ana Martinez Jennifer Martinez Moises Martinez Velazquez Nuria Martinez-Lopez Marta Martinez-Vicente Daniel O Martins Joilson O Martins Waleska K Martins Tania Martins-Marques Emanuele Marzetti Shashank Masaldan Celine Masclaux-Daubresse Douglas G Mashek Valentina Massa Lourdes Massieu Glenn R Masson Laura Masuelli Anatoliy I Masyuk Tetyana V Masyuk Paola Matarrese Ander Matheu Satoaki Matoba Sachiko Matsuzaki Pamela Mattar Alessandro Matte Domenico Mattoscio José L Mauriz Mario Mauthe Caroline Mauvezin Emanual Maverakis Paola Maycotte Johanna Mayer Gianluigi Mazzoccoli Cristina Mazzoni Joseph R Mazzulli Nami McCarty Christine McDonald Mitchell R McGill Sharon L McKenna BethAnn McLaughlin Fionn McLoughlin Mark A McNiven Thomas G McWilliams Fatima Mechta-Grigoriou Tania Catarina Medeiros Diego L Medina Lynn A Megeney Klara Megyeri Maryam Mehrpour Jawahar L Mehta Alfred J Meijer Annemarie H Meijer Jakob Mejlvang Alicia Meléndez Annette Melk Gonen Memisoglu Alexandrina F Mendes Delong Meng Fei Meng Tian Meng Rubem Menna-Barreto Manoj B Menon Carol Mercer Anne E Mercier Jean-Louis Mergny Adalberto Merighi Seth D Merkley Giuseppe Merla Volker Meske Ana Cecilia Mestre Shree Padma Metur Christian Meyer Hemmo Meyer Wenyi Mi Jeanne Mialet-Perez Junying Miao Lucia Micale Yasuo Miki Enrico Milan Małgorzata Milczarek Dana L Miller Samuel I Miller Silke Miller Steven W Millward Ira Milosevic Elena A Minina Hamed Mirzaei Hamid Reza Mirzaei Mehdi Mirzaei Amit Mishra Nandita Mishra Paras Kumar Mishra Maja Misirkic Marjanovic Roberta Misasi Amit Misra Gabriella Misso Claire Mitchell Geraldine Mitou Tetsuji Miura Shigeki Miyamoto Makoto Miyazaki Mitsunori Miyazaki Taiga Miyazaki Keisuke Miyazawa Noboru Mizushima Trine H Mogensen Baharia Mograbi Reza Mohammadinejad Yasir Mohamud Abhishek Mohanty Sipra Mohapatra Torsten Möhlmann Asif Mohmmed Anna Moles Kelle H Moley Maurizio Molinari Vincenzo Mollace Andreas Buch Møller Bertrand Mollereau Faustino Mollinedo Costanza Montagna Mervyn J Monteiro Andrea Montella L Ruth Montes Barbara Montico Vinod K Mony Giacomo Monzio Compagnoni Michael N Moore Mohammad A Moosavi Ana L Mora Marina Mora David Morales-Alamo Rosario Moratalla Paula I Moreira Elena Morelli Sandra Moreno Daniel Moreno-Blas Viviana Moresi Benjamin Morga Alwena H Morgan Fabrice Morin Hideaki Morishita Orson L Moritz Mariko Moriyama Yuji Moriyasu Manuela Morleo Eugenia Morselli Jose F Moruno-Manchon Jorge Moscat Serge Mostowy Elisa Motori Andrea Felinto Moura Naima Moustaid-Moussa Maria Mrakovcic Gabriel Muciño-Hernández Anupam Mukherjee Subhadip Mukhopadhyay Jean M Mulcahy Levy Victoriano Mulero Sylviane Muller Christian Münch Ashok Munjal Pura Munoz-Canoves Teresa Muñoz-Galdeano Christian Münz Tomokazu Murakawa Claudia Muratori Brona M Murphy J Patrick Murphy Aditya Murthy Timo T Myöhänen Indira U Mysorekar Jennifer Mytych Seyed Mohammad Nabavi Massimo Nabissi Péter Nagy Jihoon Nah Aimable Nahimana Ichiro Nakagawa Ken Nakamura Hitoshi Nakatogawa Shyam S Nandi Meera Nanjundan Monica Nanni Gennaro Napolitano Roberta Nardacci Masashi Narita Melissa Nassif Ilana Nathan Manabu Natsumeda Ryno J Naude Christin Naumann Olaia Naveiras Fatemeh Navid Steffan T Nawrocki Taras Y Nazarko Francesca Nazio Florentina Negoita Thomas Neill Amanda L Neisch Luca M Neri Mihai G Netea Patrick Neubert Thomas P Neufeld Dietbert Neumann Albert Neutzner Phillip T Newton Paul A Ney Ioannis P Nezis Charlene C W Ng Tzi Bun Ng Hang T T Nguyen Long T Nguyen Hong-Min Ni Clíona Ní Cheallaigh Zhenhong Ni M Celeste Nicolao Francesco Nicoli Manuel Nieto-Diaz Per Nilsson Shunbin Ning Rituraj Niranjan Hiroshi Nishimune Mireia Niso-Santano Ralph A Nixon Annalisa Nobili Clevio Nobrega Takeshi Noda Uxía Nogueira-Recalde Trevor M Nolan Ivan Nombela Ivana Novak Beatriz Novoa Takashi Nozawa Nobuyuki Nukina Carmen Nussbaum-Krammer Jesper Nylandsted Tracey R O'Donovan Seónadh M O'Leary Eyleen J O'Rourke Mary P O'Sullivan Timothy E O'Sullivan Salvatore Oddo Ina Oehme Michinaga Ogawa Eric Ogier-Denis Margret H Ogmundsdottir Besim Ogretmen Goo Taeg Oh Seon-Hee Oh Young J Oh Takashi Ohama Yohei Ohashi Masaki Ohmuraya Vasileios Oikonomou Rani Ojha Koji Okamoto Hitoshi Okazawa Masahide Oku Sara Oliván Jorge M A Oliveira Michael Ollmann James A Olzmann Shakib Omari M Bishr Omary Gizem Önal Martin Ondrej Sang-Bing Ong Sang-Ging Ong Anna Onnis Juan A Orellana Sara Orellana-Muñoz Maria Del Mar Ortega-Villaizan Xilma R Ortiz-Gonzalez Elena Ortona Heinz D Osiewacz Abdel-Hamid K Osman Rosario Osta Marisa S Otegui Kinya Otsu Christiane Ott Luisa Ottobrini Jing-Hsiung James Ou Tiago F Outeiro Inger Oynebraten Melek Ozturk Gilles Pagès Susanta Pahari Marta Pajares Utpal B Pajvani Rituraj Pal Simona Paladino Nicolas Pallet Michela Palmieri Giuseppe Palmisano Camilla Palumbo Francesco Pampaloni Lifeng Pan Qingjun Pan Wenliang Pan Xin Pan Ganna Panasyuk Rahul Pandey Udai B Pandey Vrajesh Pandya Francesco Paneni Shirley Y Pang Elisa Panzarini Daniela L Papademetrio Elena Papaleo Daniel Papinski Diana Papp Eun Chan Park Hwan Tae Park Ji-Man Park Jong-In Park Joon Tae Park Junsoo Park Sang Chul Park Sang-Youel Park Abraham H Parola Jan B Parys Adrien Pasquier Benoit Pasquier João F Passos Nunzia Pastore Hemal H Patel Daniel Patschan Sophie Pattingre Gustavo Pedraza-Alva Jose Pedraza-Chaverri Zully Pedrozo Gang Pei Jianming Pei Hadas Peled-Zehavi Joaquín M Pellegrini Joffrey Pelletier Miguel A Peñalva Di Peng Ying Peng Fabio Penna Maria Pennuto Francesca Pentimalli Cláudia Mf Pereira Gustavo J S Pereira Lilian C Pereira Luis Pereira de Almeida Nirma D Perera Ángel Pérez-Lara Ana B Perez-Oliva María Esther Pérez-Pérez Palsamy Periyasamy Andras Perl Cristiana Perrotta Ida Perrotta Richard G Pestell Morten Petersen Irina Petrache Goran Petrovski Thorsten Pfirrmann Astrid S Pfister Jennifer A Philips Huifeng Pi Anna Picca Alicia M Pickrell Sandy Picot Giovanna M Pierantoni Marina Pierdominici Philippe Pierre Valérie Pierrefite-Carle Karolina Pierzynowska Federico Pietrocola Miroslawa Pietruczuk Claudio Pignata Felipe X Pimentel-Muiños Mario Pinar Roberta O Pinheiro Ronit Pinkas-Kramarski Paolo Pinton Karolina Pircs Sujan Piya Paola Pizzo Theo S Plantinga Harald W Platta Ainhoa Plaza-Zabala Markus Plomann Egor Y Plotnikov Helene Plun-Favreau Ryszard Pluta Roger Pocock Stefanie Pöggeler Christian Pohl Marc Poirot Angelo Poletti Marisa Ponpuak Hana Popelka Blagovesta Popova Helena Porta Soledad Porte Alcon Eliana Portilla-Fernandez Martin Post Malia B Potts Joanna Poulton Ted Powers Veena Prahlad Tomasz K Prajsnar Domenico Praticò Rosaria Prencipe Muriel Priault Tassula Proikas-Cezanne Vasilis J Promponas Christopher G Proud Rosa Puertollano Luigi Puglielli Thomas Pulinilkunnil Deepika Puri Rajat Puri Julien Puyal Xiaopeng Qi Yongmei Qi Wenbin Qian Lei Qiang Yu Qiu Joe Quadrilatero Jorge Quarleri Nina Raben Hannah Rabinowich Debora Ragona Michael J Ragusa Nader Rahimi Marveh Rahmati Valeria Raia Nuno Raimundo Namakkal-Soorappan Rajasekaran Sriganesh Ramachandra Rao Abdelhaq Rami Ignacio Ramírez-Pardo David B Ramsden Felix Randow Pundi N Rangarajan Danilo Ranieri Hai Rao Lang Rao Rekha Rao Sumit Rathore J Arjuna Ratnayaka Edward A Ratovitski Palaniyandi Ravanan Gloria Ravegnini Swapan K Ray Babak Razani Vito Rebecca Fulvio Reggiori Anne Régnier-Vigouroux Andreas S Reichert David Reigada Jan H Reiling Theo Rein Siegfried Reipert Rokeya Sultana Rekha Hongmei Ren Jun Ren Weichao Ren Tristan Renault Giorgia Renga Karen Reue Kim Rewitz Bruna Ribeiro de Andrade Ramos S Amer Riazuddin Teresa M Ribeiro-Rodrigues Jean-Ehrland Ricci Romeo Ricci Victoria Riccio Des R Richardson Yasuko Rikihisa Makarand V Risbud Ruth M Risueño Konstantinos Ritis Salvatore Rizza Rosario Rizzuto Helen C Roberts Luke D Roberts Katherine J Robinson Maria Carmela Roccheri Stephane Rocchi George G Rodney Tiago Rodrigues Vagner Ramon Rodrigues Silva Amaia Rodriguez Ruth Rodriguez-Barrueco Nieves Rodriguez-Henche Humberto Rodriguez-Rocha Jeroen Roelofs Robert S Rogers Vladimir V Rogov Ana I Rojo Krzysztof Rolka Vanina Romanello Luigina Romani Alessandra Romano Patricia S Romano David Romeo-Guitart Luis C Romero Montserrat Romero Joseph C Roney Christopher Rongo Sante Roperto Mathias T Rosenfeldt Philip Rosenstiel Anne G Rosenwald Kevin A Roth Lynn Roth Steven Roth Kasper M A Rouschop Benoit D Roussel Sophie Roux Patrizia Rovere-Querini Ajit Roy Aurore Rozieres Diego Ruano David C Rubinsztein Maria P Rubtsova Klaus Ruckdeschel Christoph Ruckenstuhl Emil Rudolf Rüdiger Rudolf Alessandra Ruggieri Avnika Ashok Ruparelia Paola Rusmini Ryan R Russell Gian Luigi Russo Maria Russo Rossella Russo Oxana O Ryabaya Kevin M Ryan Kwon-Yul Ryu Maria Sabater-Arcis Ulka Sachdev Michael Sacher Carsten Sachse Abhishek Sadhu Junichi Sadoshima Nathaniel Safren Paul Saftig Antonia P Sagona Gaurav Sahay Amirhossein Sahebkar Mustafa Sahin Ozgur Sahin Sumit Sahni Nayuta Saito Shigeru Saito Tsunenori Saito Ryohei Sakai Yasuyoshi Sakai Jun-Ichi Sakamaki Kalle Saksela Gloria Salazar Anna Salazar-Degracia Ghasem H Salekdeh Ashok K Saluja Belém Sampaio-Marques Maria Cecilia Sanchez Jose A Sanchez-Alcazar Victoria Sanchez-Vera Vanessa Sancho-Shimizu J Thomas Sanderson Marco Sandri Stefano Santaguida Laura Santambrogio Magda M Santana Giorgio Santoni Alberto Sanz Pascual Sanz Shweta Saran Marco Sardiello Timothy J Sargeant Apurva Sarin Chinmoy Sarkar Sovan Sarkar Maria-Rosa Sarrias Surajit Sarkar Dipanka Tanu Sarmah Jaakko Sarparanta Aishwarya Sathyanarayan Ranganayaki Sathyanarayanan K Matthew Scaglione Francesca Scatozza Liliana Schaefer Zachary T Schafer Ulrich E Schaible Anthony H V Schapira Michael Scharl Hermann M Schatzl Catherine H Schein Wiep Scheper David Scheuring Maria Vittoria Schiaffino Monica Schiappacassi Rainer Schindl Uwe Schlattner Oliver Schmidt Roland Schmitt Stephen D Schmidt Ingo Schmitz Eran Schmukler Anja Schneider Bianca E Schneider Romana Schober Alejandra C Schoijet Micah B Schott Michael Schramm Bernd Schröder Kai Schuh Christoph Schüller Ryan J Schulze Lea Schürmanns Jens C Schwamborn Melanie Schwarten Filippo Scialo Sebastiano Sciarretta Melanie J Scott Kathleen W Scotto A Ivana Scovassi Andrea Scrima Aurora Scrivo David Sebastian Salwa Sebti Simon Sedej Laura Segatori Nava Segev Per O Seglen Iban Seiliez Ekihiro Seki Scott B Selleck Frank W Sellke Joshua T Selsby Michael Sendtner Serif Senturk Elena Seranova Consolato Sergi Ruth Serra-Moreno Hiromi Sesaki Carmine Settembre Subba Rao Gangi Setty Gianluca Sgarbi Ou Sha John J Shacka Javeed A Shah Dantong Shang Changshun Shao Feng Shao Soroush Sharbati Lisa M Sharkey Dipali Sharma Gaurav Sharma Kulbhushan Sharma Pawan Sharma Surendra Sharma Han-Ming Shen Hongtao Shen Jiangang Shen Ming Shen Weili Shen Zheni Shen Rui Sheng Zhi Sheng Zu-Hang Sheng Jianjian Shi Xiaobing Shi Ying-Hong Shi Kahori Shiba-Fukushima Jeng-Jer Shieh Yohta Shimada Shigeomi Shimizu Makoto Shimozawa Takahiro Shintani Christopher J Shoemaker Shahla Shojaei Ikuo Shoji Bhupendra V Shravage Viji Shridhar Chih-Wen Shu Hong-Bing Shu Ke Shui Arvind K Shukla Timothy E Shutt Valentina Sica Aleem Siddiqui Amanda Sierra Virginia Sierra-Torre Santiago Signorelli Payel Sil Bruno J de Andrade Silva Johnatas D Silva Eduardo Silva-Pavez Sandrine Silvente-Poirot Rachel E Simmonds Anna Katharina Simon Hans-Uwe Simon Matias Simons Anurag Singh Lalit P Singh Rajat Singh Shivendra V Singh Shrawan K Singh Sudha B Singh Sunaina Singh Surinder Pal Singh Debasish Sinha Rohit Anthony Sinha Sangita Sinha Agnieszka Sirko Kapil Sirohi Efthimios L Sivridis Panagiotis Skendros Aleksandra Skirycz Iva Slaninová Soraya S Smaili Andrei Smertenko Matthew D Smith Stefaan J Soenen Eun Jung Sohn Sophia P M Sok Giancarlo Solaini Thierry Soldati Scott A Soleimanpour Rosa M Soler Alexei Solovchenko Jason A Somarelli Avinash Sonawane Fuyong Song Hyun Kyu Song Ju-Xian Song Kunhua Song Zhiyin Song Leandro R Soria Maurizio Sorice Alexander A Soukas Sandra-Fausia Soukup Diana Sousa Nadia Sousa Paul A Spagnuolo Stephen A Spector M M Srinivas Bharath Daret St Clair Venturina Stagni Leopoldo Staiano Clint A Stalnecker Metodi V Stankov Peter B Stathopulos Katja Stefan Sven Marcel Stefan Leonidas Stefanis Joan S Steffan Alexander Steinkasserer Harald Stenmark Jared Sterneckert Craig Stevens Veronika Stoka Stephan Storch Björn Stork Flavie Strappazzon Anne Marie Strohecker Dwayne G Stupack Huanxing Su Ling-Yan Su Longxiang Su Ana M Suarez-Fontes Carlos S Subauste Selvakumar Subbian Paula V Subirada Ganapasam Sudhandiran Carolyn M Sue Xinbing Sui Corey Summers Guangchao Sun Jun Sun Kang Sun Meng-Xiang Sun Qiming Sun Yi Sun Zhongjie Sun Karen K S Sunahara Eva Sundberg Katalin Susztak Peter Sutovsky Hidekazu Suzuki Gary Sweeney J David Symons Stephen Cho Wing Sze Nathaniel J Szewczyk Anna Tabęcka-Łonczynska Claudio Tabolacci Frank Tacke Heinrich Taegtmeyer Marco Tafani Mitsuo Tagaya Haoran Tai Stephen W G Tait Yoshinori Takahashi Szabolcs Takats Priti Talwar Chit Tam Shing Yau Tam Davide Tampellini Atsushi Tamura Chong Teik Tan Eng-King Tan Ya-Qin Tan Masaki Tanaka Motomasa Tanaka Daolin Tang Jingfeng Tang Tie-Shan Tang Isei Tanida Zhipeng Tao Mohammed Taouis Lars Tatenhorst Nektarios Tavernarakis Allen Taylor Gregory A Taylor Joan M Taylor Elena Tchetina Andrew R Tee Irmgard Tegeder David Teis Natercia Teixeira Fatima Teixeira-Clerc Kumsal A Tekirdag Tewin Tencomnao Sandra Tenreiro Alexei V Tepikin Pilar S Testillano Gianluca Tettamanti Pierre-Louis Tharaux Kathrin Thedieck Arvind A Thekkinghat Stefano Thellung Josephine W Thinwa V P Thirumalaikumar Sufi Mary Thomas Paul G Thomes Andrew Thorburn Lipi Thukral Thomas Thum Michael Thumm Ling Tian Ales Tichy Andreas Till Vincent Timmerman Vladimir I Titorenko Sokol V Todi Krassimira Todorova Janne M Toivonen Luana Tomaipitinca Dhanendra Tomar Cristina Tomas-Zapico Sergej Tomić Benjamin Chun-Kit Tong Chao Tong Xin Tong Sharon A Tooze Maria L Torgersen Satoru Torii Liliana Torres-López Alicia Torriglia Christina G Towers Roberto Towns Shinya Toyokuni Vladimir Trajkovic Donatella Tramontano Quynh-Giao Tran Leonardo H Travassos Charles B Trelford Shirley Tremel Ioannis P Trougakos Betty P Tsao Mario P Tschan Hung-Fat Tse Tak Fu Tse Hitoshi Tsugawa Andrey S Tsvetkov David A Tumbarello Yasin Tumtas María J Tuñón Sandra Turcotte Boris Turk Vito Turk Bradley J Turner Richard I Tuxworth Jessica K Tyler Elena V Tyutereva Yasuo Uchiyama Aslihan Ugun-Klusek Holm H Uhlig Marzena Ułamek-Kozioł Ilya V Ulasov Midori Umekawa Christian Ungermann Rei Unno Sylvie Urbe Elisabet Uribe-Carretero Suayib Üstün Vladimir N Uversky Thomas Vaccari Maria I Vaccaro Björn F Vahsen Helin Vakifahmetoglu-Norberg Rut Valdor Maria J Valente Ayelén Valko Richard B Vallee Angela M Valverde Greet Van den Berghe Stijn van der Veen Luc Van Kaer Jorg van Loosdregt Sjoerd J L van Wijk Wim Vandenberghe Ilse Vanhorebeek Marcos A Vannier-Santos Nicola Vannini M Cristina Vanrell Chiara Vantaggiato Gabriele Varano Isabel Varela-Nieto Máté Varga M Helena Vasconcelos Somya Vats Demetrios G Vavvas Ignacio Vega-Naredo Silvia Vega-Rubin-de-Celis Guillermo Velasco Ariadna P Velázquez Tibor Vellai Edo Vellenga Francesca Velotti Mireille Verdier Panayotis Verginis Isabelle Vergne Paul Verkade Manish Verma Patrik Verstreken Tim Vervliet Jörg Vervoorts Alexandre T Vessoni Victor M Victor Michel Vidal Chiara Vidoni Otilia V Vieira Richard D Vierstra Sonia Viganó Helena Vihinen Vinoy Vijayan Miquel Vila Marçal Vilar José M Villalba Antonio Villalobo Beatriz Villarejo-Zori Francesc Villarroya Joan Villarroya Olivier Vincent Cecile Vindis Christophe Viret Maria Teresa Viscomi Dora Visnjic Ilio Vitale David J Vocadlo Olga V Voitsekhovskaja Cinzia Volonté Mattia Volta Marta Vomero Clarissa Von Haefen Marc A Vooijs Wolfgang Voos Ljubica Vucicevic Richard Wade-Martins Satoshi Waguri Kenrick A Waite Shuji Wakatsuki David W Walker Mark J Walker Simon A Walker Jochen Walter Francisco G Wandosell Bo Wang Chao-Yung Wang Chen Wang Chenran Wang Chenwei Wang Cun-Yu Wang Dong Wang Fangyang Wang Feng Wang Fengming Wang Guansong Wang Han Wang Hao Wang Hexiang Wang Hong-Gang Wang Jianrong Wang Jigang Wang Jiou Wang Jundong Wang Kui Wang Lianrong Wang Liming Wang Maggie Haitian Wang Meiqing Wang Nanbu Wang Pengwei Wang Peipei Wang Ping Wang Ping Wang Qing Jun Wang Qing Wang Qing Kenneth Wang Qiong A Wang Wen-Tao Wang Wuyang Wang Xinnan Wang Xuejun Wang Yan Wang Yanchang Wang Yanzhuang Wang Yen-Yun Wang Yihua Wang Yipeng Wang Yu Wang Yuqi Wang Zhe Wang Zhenyu Wang Zhouguang Wang Gary Warnes Verena Warnsmann Hirotaka Watada Eizo Watanabe Maxinne Watchon Anna Wawrzyńska Timothy E Weaver Grzegorz Wegrzyn Ann M Wehman Huafeng Wei Lei Wei Taotao Wei Yongjie Wei Oliver H Weiergräber Conrad C Weihl Günther Weindl Ralf Weiskirchen Alan Wells Runxia H Wen Xin Wen Antonia Werner Beatrice Weykopf Sally P Wheatley J Lindsay Whitton Alexander J Whitworth Katarzyna Wiktorska Manon E Wildenberg Tom Wileman Simon Wilkinson Dieter Willbold Brett Williams Robin S B Williams Roger L Williams Peter R Williamson Richard A Wilson Beate Winner Nathaniel J Winsor Steven S Witkin Harald Wodrich Ute Woehlbier Thomas Wollert Esther Wong Jack Ho Wong Richard W Wong Vincent Kam Wai Wong W Wei-Lynn Wong An-Guo Wu Chengbiao Wu Jian Wu Junfang Wu Kenneth K Wu Min Wu Shan-Ying Wu Shengzhou Wu Shu-Yan Wu Shufang Wu William K K Wu Xiaohong Wu Xiaoqing Wu Yao-Wen Wu Yihua Wu Ramnik J Xavier Hongguang Xia Lixin Xia Zhengyuan Xia Ge Xiang Jin Xiang Mingliang Xiang Wei Xiang Bin Xiao Guozhi Xiao Hengyi Xiao Hong-Tao Xiao Jian Xiao Lan Xiao Shi Xiao Yin Xiao Baoming Xie Chuan-Ming Xie Min Xie Yuxiang Xie Zhiping Xie Zhonglin Xie Maria Xilouri Congfeng Xu En Xu Haoxing Xu Jing Xu JinRong Xu Liang Xu Wen Wen Xu Xiulong Xu Yu Xue Sokhna M S Yakhine-Diop Masamitsu Yamaguchi Osamu Yamaguchi Ai Yamamoto Shunhei Yamashina Shengmin Yan Shian-Jang Yan Zhen Yan Yasuo Yanagi Chuanbin Yang Dun-Sheng Yang Huan Yang Huang-Tian Yang Hui Yang Jin-Ming Yang Jing Yang Jingyu Yang Ling Yang Liu Yang Ming Yang Pei-Ming Yang Qian Yang Seungwon Yang Shu Yang Shun-Fa Yang Wannian Yang Wei Yuan Yang Xiaoyong Yang Xuesong Yang Yi Yang Ying Yang Honghong Yao Shenggen Yao Xiaoqiang Yao Yong-Gang Yao Yong-Ming Yao Takahiro Yasui Meysam Yazdankhah Paul M Yen Cong Yi Xiao-Ming Yin Yanhai Yin Zhangyuan Yin Ziyi Yin Meidan Ying Zheng Ying Calvin K Yip Stephanie Pei Tung Yiu Young H Yoo Kiyotsugu Yoshida Saori R Yoshii Tamotsu Yoshimori Bahman Yousefi Boxuan Yu Haiyang Yu Jun Yu Jun Yu Li Yu Ming-Lung Yu Seong-Woon Yu Victor C Yu W Haung Yu Zhengping Yu Zhou Yu Junying Yuan Ling-Qing Yuan Shilin Yuan Shyng-Shiou F Yuan Yanggang Yuan Zengqiang Yuan Jianbo Yue Zhenyu Yue Jeanho Yun Raymond L Yung David N Zacks Gabriele Zaffagnini Vanessa O Zambelli Isabella Zanella Qun S Zang Sara Zanivan Silvia Zappavigna Pilar Zaragoza Konstantinos S Zarbalis Amir Zarebkohan Amira Zarrouk Scott O Zeitlin Jialiu Zeng Ju-Deng Zeng Eva Žerovnik Lixuan Zhan Bin Zhang Donna D Zhang Hanlin Zhang Hong Zhang Hong Zhang Honghe Zhang Huafeng Zhang Huaye Zhang Hui Zhang Hui-Ling Zhang Jianbin Zhang Jianhua Zhang Jing-Pu Zhang Kalin Y B Zhang Leshuai W Zhang Lin Zhang Lisheng Zhang Lu Zhang Luoying Zhang Menghuan Zhang Peng Zhang Sheng Zhang Wei Zhang Xiangnan Zhang Xiao-Wei Zhang Xiaolei Zhang Xiaoyan Zhang Xin Zhang Xinxin Zhang Xu Dong Zhang Yang Zhang Yanjin Zhang Yi Zhang Ying-Dong Zhang Yingmei Zhang Yuan-Yuan Zhang Yuchen Zhang Zhe Zhang Zhengguang Zhang Zhibing Zhang Zhihai Zhang Zhiyong Zhang Zili Zhang Haobin Zhao Lei Zhao Shuang Zhao Tongbiao Zhao Xiao-Fan Zhao Ying Zhao Yongchao Zhao Yongliang Zhao Yuting Zhao Guoping Zheng Kai Zheng Ling Zheng Shizhong Zheng Xi-Long Zheng Yi Zheng Zu-Guo Zheng Boris Zhivotovsky Qing Zhong Ao Zhou Ben Zhou Cefan Zhou Gang Zhou Hao Zhou Hong Zhou Hongbo Zhou Jie Zhou Jing Zhou Jing Zhou Jiyong Zhou Kailiang Zhou Rongjia Zhou Xu-Jie Zhou Yanshuang Zhou Yinghong Zhou Yubin Zhou Zheng-Yu Zhou Zhou Zhou Binglin Zhu Changlian Zhu Guo-Qing Zhu Haining Zhu Hongxin Zhu Hua Zhu Wei-Guo Zhu Yanping Zhu Yushan Zhu Haixia Zhuang Xiaohong Zhuang Katarzyna Zientara-Rytter Christine M Zimmermann Elena Ziviani Teresa Zoladek Wei-Xing Zong Dmitry B Zorov Antonio Zorzano Weiping Zou Zhen Zou Zhengzhi Zou Steven Zuryn Werner Zwerschke Beate Brand-Saberi X Charlie Dong Chandra Shekar Kenchappa Zuguo Li Yong Lin Shigeru Oshima Yueguang Rong Judith C Sluimer Christina L Stallings Chun-Kit Tong

Autophagy 2021 Jan 8;17(1):1-382. Epub 2021 Feb 8.

Hong Kong Baptist University, School of Chinese Medicine, Hong Kong, China.

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
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http://dx.doi.org/10.1080/15548627.2020.1797280DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996087PMC
January 2021

Intelligent Design of Product Forms Based on Design Cognitive Dynamics and a Cobweb Structure.

Comput Intell Neurosci 2021 10;2021:6654717. Epub 2021 Feb 10.

School of Architecture and Art Design, Hebei University of Technology, Tianjin 300401, China.

Design is a complex, iterative, and innovative process. By traditional methods, it is difficult for designers to have an integral priori design experience to fully explore a wide range of design solutions. Therefore, refined intelligent design has become an important trend in design research. More powerful design thinking is needed in intelligent design process. Combining cognitive dynamics and a cobweb structure, an intelligent design method is proposed to formalize the innovative design process. The excavation of the dynamic mechanism of the product evolution process during product development is necessary to predict next-generation multi-image product forms from a larger design space. First, different design thinking stimulates the information source and is obtained by analyzing the designers' thinking process when designing and mining the dynamic mechanism behind it. Based on the nonlinear cognitive cobweb process proposed by Francisco and a natural cobweb structure, the product image cognitive cobweb model (PICCM) is constructed. Then, natural cobweb predation behavior is simulated using a stimulus information source to impact the PICCM. This process uses genetic algorithms to obtain numerous offspring forms, and the PICCM's mechanical properties are the energy loss parameters in the impact information. Furthermore, feasible solutions are selected from intelligent design sketches by the product artificial form evaluation system based on designers' cognition, and a new product image cognitive cobweb system is reconstructed. Finally, a case study demonstrates the efficiency and feasibility of the proposed approach.
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http://dx.doi.org/10.1155/2021/6654717DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889380PMC
February 2021

Stability test of canonical correlation analysis for studying brain-behavior relationships: The effects of subject-to-variable ratios and correlation strengths.

Hum Brain Mapp 2021 Feb 24. Epub 2021 Feb 24.

School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.

Canonical correlation analysis (CCA), a multivariate approach to identifying correlations between two sets of variables, is becoming increasingly popular in neuroimaging studies on brain-behavior relationships. However, the CCA stability in neuroimaging applications has not been systematically investigated. Although it is known that the number of subjects should be greater than the number of variables due to the curse of dimensionality, it is unclear at what subject-to-variable ratios (SVR) and at what correlation strengths the CCA stability can be maintained. Here, we systematically assessed the CCA stability, in the context of investigating the relationship between the brain structural/functional imaging measures and the behavioral measures, by measuring the similarity of the first-mode canonical variables across randomly sampled subgroups of subjects from a large set of 936 healthy subjects. Specifically, we tested how the CCA stability changes with SVR under two different brain-behavior correlation strengths. The same tests were repeated using an independent data set (n = 700) for validation. The results confirmed that both SVR and correlation strength affect greatly the CCA stability-the CCA stability cannot be guaranteed if the SVR is not sufficiently high or the brain-behavior relationship is not sufficiently strong. Based on our quantitative characterization of CCA stability, we provided a practical guideline to help correct interpretation of CCA results and proper applications of CCA in neuroimaging studies on brain-behavior relationships.
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http://dx.doi.org/10.1002/hbm.25373DOI Listing
February 2021

Phase-adjusted estimation of the number of Coronavirus Disease 2019 cases in Wuhan, China.

Cell Discov 2020 Feb 24;6(1):10. Epub 2020 Feb 24.

School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.

An outbreak of clusters of viral pneumonia due to a novel coronavirus (2019-nCoV/SARS-CoV-2) happened in Wuhan, Hubei Province in China in December 2019. Since the outbreak, several groups reported estimated R of Coronavirus Disease 2019 (COVID-19) and generated valuable prediction for the early phase of this outbreak. After implementation of strict prevention and control measures in China, new estimation is needed. An infectious disease dynamics SEIR (Susceptible, Exposed, Infectious, and Removed) model was applied to estimate the epidemic trend in Wuhan, China under two assumptions of R. In the first assumption, R was assumed to maintain over 1. The estimated number of infections would continue to increase throughout February without any indication of dropping with R = 1.9, 2.6, or 3.1. The number of infections would reach 11,044, 70,258, and 227,989, respectively, by 29 February 2020. In the second assumption, R was assumed to gradually decrease at different phases from high level of transmission (R = 3.1, 2.6, and 1.9) to below 1 (R = 0.9 or 0.5) owing to increasingly implemented public health intervention. Several phases were divided by the dates when various levels of prevention and control measures were taken in effect in Wuhan. The estimated number of infections would reach the peak in late February, which is 58,077-84,520 or 55,869-81,393. Whether or not the peak of the number of infections would occur in February 2020 may be an important index for evaluating the sufficiency of the current measures taken in China. Regardless of the occurrence of the peak, the currently strict measures in Wuhan should be continuously implemented and necessary strict public health measures should be applied in other locations in China with high number of COVID-19 cases, in order to reduce R to an ideal level and control the infection.
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http://dx.doi.org/10.1038/s41421-020-0148-0DOI Listing
February 2020

The genus Cassia L.: Ethnopharmacological and phytochemical overview.

Phytother Res 2020 Dec 4. Epub 2020 Dec 4.

School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.

Nature gifts medicinal plants with the untapped and boundless treasure of active chemical constituents with significant therapeutic potential that makes these plants a beneficial source in the development of phytomedicines. Genus Cassia, with approximately 500 species, is a large group of flowering plants in the family Fabaceae. Cassia species are widely distributed throughout different regions mainly tropical Asia, North America, and East Africa. In the folk medicinal history, these plants are used as laxative and purgative agents. In the Ayurveda system of medicine, they are used to cure headache and fever. Cassia plants exhibit pharmacological activities at large scales such as antimicrobial, anticancer, antiinflammatory, antioxidant, hypoglycemic, hyperglycemic, antimutagenic, and antivirals. The phytochemical investigations of genus Cassia demonstrate the presence of more than 200 chemical compounds, including piperidine alkaloids, anthracene derivatives (anthraquinones), flavonoids, pentacyclic triterpenoids, sterols, phenylpropanoids, and γ-naphthopyrones. The literature illustrated anthraquinones and flavonoids as major secondary metabolites from this genus. However, some Cassia plants, with rich contents of anthraquinones, still show toxicology properties. As Cassia plants are used extensively in the herbal system of medicine, but only senna dosage forms have achieved the status of the pharmaceutical market as standard laxative agents. In conclusion, further investigations on isolating newer biologically active constituents, unknown underlying mechanisms, toxicology profiles, and clinical studies of Cassia species are needed to be explored. This review article specifies the systematic breach existing between the current scientific knowledge and the fundamentals for the marketization of genus Cassia products.
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http://dx.doi.org/10.1002/ptr.6954DOI Listing
December 2020

A novel method for the nondestructive classification of different-age Citri Reticulatae Pericarpium based on data combination technique.

Food Sci Nutr 2021 Feb 8;9(2):943-951. Epub 2020 Dec 8.

Hunan Agricultural Product Processing Institute Hunan Academy of Agricultural Sciences Changsha China.

The quality of Citri Reticulatae Pericarpium (CRP) is closely correlated with the aging time. However, CRPs in different storage ages are similar in appearance, and the young CRP may be labeled as the aged one to obtain the excess profit by some unscrupulous traders. Most traditional analysis methods are laborious and time-consuming, and they can hardly realize the nondestructive classification. In this paper, a novel method based on near-infrared diffuse reflectance spectroscopy (NIRDRS) and data combination technique for the nondestructive classification of different-age CRPs was proposed. The CRPs in different storage ages (5, 10, 15, 20, and 25 years) were measured. The near-infrared spectra of outer skin and inner capsule were obtained. Principal component analysis (PCA), soft independent modeling of class analogy (SIMCA), and Fisher's linear discriminant analysis (FLD), with different data pretreatment methods, were used for the classification analysis. Data combination of the outer skin and inner capsule spectra was discussed for further improving the classification results. The results show that multiple sensors provide more useful and complementary information than a single sensor does for improving the prediction accuracy. With the help of data combination strategy, 100% prediction accuracy can be obtained with both second-order derivative-FLD and continuous wavelet transform-multiplicative scatter correction-FLD methods.
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http://dx.doi.org/10.1002/fsn3.2059DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866605PMC
February 2021

Metabolic response of soybean leaves induced by short-term exposure of ozone.

Ecotoxicol Environ Saf 2021 Apr 11;213:112033. Epub 2021 Feb 11.

State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, the Chinese Academy of Sciences, Beijing, China. Electronic address:

The ever-increasing ozone (O) concentration has led to reduced production and altered quality of soybean. Abundant reports have explored the damage mechanisms of O on soybean. However, how the elevated O affects metabolite profiling of soybean remains to be poorly understood. Here, we compare the metabolic profile of soybean leaves under charcoal filtered air (CF, <20 ppb) and short-term elevated O concentration (EO, 100 ppb). High level of O affects metabolites for the tricarbonic acid (TCA) cycle, reactive oxygen species, cell wall composition and amino acids. Significantly, jasmonic acid-related metabolite promoting stomata closure is highly induced with 125-fold change. Furthermore, O fumigation alters the expression of genes contributing to the biosynthesis of certain metabolites in TCA cycle. Together, these findings identify a wide range of changed metabolites in response to O pollution. Our results pave the way for the genetic improvement of soybean to adapt to O pollution to maintain stable yields.
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http://dx.doi.org/10.1016/j.ecoenv.2021.112033DOI Listing
April 2021

Lateral hypothalamus orexinergic inputs to lateral habenula modulate maladaptation after social defeat stress.

Neurobiol Stress 2021 May 30;14:100298. Epub 2021 Jan 30.

Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Xi'an, Shaanxi, China.

Social stress, a common stressor, causes multiple forms of physical and mental dysfunction. Prolonged exposure to social stress is associated with a higher risk of psychological disorders, including anxiety disorders and major depressive disorder (MDD). The orexinergic system is involved in the regulation of multiple motivated behaviors. The current study examined the regulatory effect of orexinergic projections from the lateral hypothalamic area (LHA) to the lateral habenula (LHb) in depression- and anxiety-like behaviors after chronic social defeat stress. When mice were defeated during social interaction, both orexinergic neurons in the LHA and glutamatergic neurons in the LHb were strongly activated, as indicated by the FosTRAP strategy. Infusion of orexin in the LHb significantly alleviated social avoidance and depression-like behaviors induced by chronic social defeat stress. Administration of an orexin receptor 2 antagonist in the LHb further aggravated the depressive phenotype. Photoactivation of orexinergic cell bodies in the LHA or terminals in the LHb relieved anxiety-like behaviors induced by chronic social defeat stress. Collectively, we identified the antidepressant and anxiolytic effects of the circuit from LHA orexinergic neurons to the LHb in response to chronic social stress, providing new evidence of the antidepressant properties of LHA orexin circuits.
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http://dx.doi.org/10.1016/j.ynstr.2021.100298DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859368PMC
May 2021

Rosuvastatin exerts anti-atherosclerotic effects by improving macrophage-related foam cell formation and polarization conversion via mediating autophagic activities.

J Transl Med 2021 02 10;19(1):62. Epub 2021 Feb 10.

Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.

Background: Atherosclerosis is a chronic vascular disease posing a great threat to public health. We investigated whether rosuvastatin (RVS) enhanced autophagic activities to inhibit lipid accumulation and polarization conversion of macrophages and then attenuate atherosclerotic lesions.

Methods: All male Apolipoprotein E-deficient (ApoE) mice were fed high-fat diet supplemented with RVS (10 mg/kg/day) or the same volume of normal saline gavage for 20 weeks. The burden of plaques in mice were determined by histopathological staining. Biochemical kits were used to examine the levels of lipid profiles and inflammatory cytokines. The potential mechanisms by which RVS mediated atherosclerosis were explored by western blot, real-time PCR assay, and immunofluorescence staining in mice and RAW264.7 macrophages.

Results: Our data showed that RVS treatment reduced plaque areas in the aorta inner surface and the aortic sinus of ApoE mice with high-fat diet. RVS markedly improved lipid profiles and reduced contents of inflammatory cytokines in the circulation. Then, results of Western blot showed that RVS increased the ratio LC3II/I and level of Beclin 1 and decreased the expression of p62 in aortic tissues, which might be attributed to suppression of PI3K/Akt/mTOR pathway, hinting that autophagy cascades were activated by RVS. Moreover, RVS raised the contents of ABCA1, ABCG1, Arg-1, CD206 and reduced iNOS expression of arterial wall, indicating that RVS promoted cholesterol efflux and M2 macrophage polarization. Similarly, we observed that RVS decreased lipids contents and inflammatory factors expressions in RAW264.7 cells stimulated by ox-LDL, accompanied by levels elevation of ABCA1, ABCG1, Arg-1, CD206 and content reduction of iNOS. These anti-atherosclerotic effects of RVS were abolished by 3-methyladenine intervention. Moreover, RVS could reverse the impaired autophagy flux in macrophages insulted by chloroquine. We further found that PI3K inhibitor LY294002 enhanced and agonist 740 Y-P weakened the autophagy-promoting roles of RVS, respectively.

Conclusions: Our study indicated that RVS exhibits atheroprotective effects involving regulation lipid accumulation and polarization conversion by improving autophagy initiation and development via suppressing PI3K/Akt/mTOR axis and enhancing autophagic flux in macrophages.
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http://dx.doi.org/10.1186/s12967-021-02727-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877030PMC
February 2021

Changes in levels of coagulation parameters in different trimesters among Chinese pregnant women.

J Clin Lab Anal 2021 Apr 5;35(4):e23724. Epub 2021 Feb 5.

Department of Laboratory Medicine, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China.

Background: This article is to explore changes in levels of coagulation parameters in different trimesters among healthy pregnant women in China.

Methods: A total of 760 eligible women were enrolled (first-trimester group: n = 183, second-trimester group: n = 183, third-trimester group: n = 263, non-pregnant group: n = 131). Seven parameters including prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), D-dimer (DD), fibrinogen degradation products (FDP), and antithrombin III (ATIII), of all participants were collected. The non-parametric 2.5th-97.5th percentiles reference intervals were calculated for each parameter.

Results: The reference intervals for FIB, PT, APTT, TT, FDP, DD, and ATIII at first trimester were 2.11-4.32 g/L, 10.90-13.85 s, 24.60-39.28 s, 12.95-15.88 s, 0.04-2.55 μg/mL, 0.03-1.15 μg/mL, and 75.57%-125.31%, respectively. The reference intervals at second trimester were 2.31-4.77 g/L, 9.70-12.64 s, 24.16-35.43 s, 12.95-15.88 s, 0.15-7.40 μg/mL, 0.08-2.13 μg/mL, and 74.35%-119.28%, respectively. For the third-trimester, the intervals were 2.39-4.96 g/L, 9.20-11.95 s, 23.90-35.51 s, 13.41-18.00 s, 0.55-13.43 μg/mL, 0.15-3.60 μg/mL, and 71.61%-118.29%, respectively. The third-trimester group showed decreased PT, APTT, and ATIII and increased FIB, TT, DD and FDP as compared with the other groups.

Conclusion: In this study, level changes of coagulation parameters in different trimesters were observed. And the ranges for coagulation parameters were presented, which may provide some reference for clinicians to more accurately monitor the coagulation and fibrinolytic system in pregnant women.
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http://dx.doi.org/10.1002/jcla.23724DOI Listing
April 2021