Publications by authors named "Peng Jiang"

1,182 Publications

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The reference genome and full-length transcriptome of pakchoi provide insights into cuticle formation and heat adaption.

Hortic Res 2022 26;9:uhac123. Epub 2022 May 26.

College of Life Sciences & College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

includes various vegetables with high economic value. Among them, green petiole type pakchoi ( ssp. ) is one of the major vegetables grown in southern China. Compared with other varieties, green petiole type pakchoi shows a higher level of heat resistance, which is partially derived from the rich epicuticular wax. Here we sequence a high-quality genome of green petiole type pakchoi, which has been widely used as the parent in breeding. Our results reveal that long terminal repeat retrotransposon insertion plays critical roles in promoting the genome expansion and transcriptional diversity of pakchoi genes through preferential insertions, particularly in cuticle biosynthetic genes. After whole-genome triplication, over-retained pakchoi genes escape stringent selection pressure, and among them a set of cuticle-related genes are retained. Using bulked-segregant analysis of a heat-resistant pakchoi cultivar, we identify a frame-shift deletion across the third exon and the subsequent intron of in candidate regions Using Nanopore long-read sequencing, we analyze the full-length transcriptome of two pakchoi cultivars with opposite sensitivity to high temperature. We find that the heat-resistant pakchoi cultivar can mitigate heat-caused leaf damage by activating an unfolded protein response, as well as by inhibiting chloroplast development and energy metabolism, which are presumably mediated by both transcriptional regulation and splicing factors. Our study provides valuable resources for functional genomics and breeding research, and deepens our understanding of plant stress resistance.
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http://dx.doi.org/10.1093/hr/uhac123DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358696PMC
May 2022

A somatic mutation-derived LncRNA signatures of genomic instability predicts the prognosis and tumor microenvironment immune characters in hepatocellular carcinoma.

Hepatol Int 2022 Aug 10. Epub 2022 Aug 10.

Department of Medical Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.

Background: Hepatocellular carcinoma (HCC) is an aggressive carcinoma with genome instability. Long non-coding RNAs (LncRNAs) have been functionally associated with genomic instability in cancers. However, the identification and prognostic value of lncRNAs related to genome instability have not been explored in hepatocellular carcinoma. In this study, we aim to identify a genomic instability-related lncRNA signature for predicting prognosis and the efficacy of immunotherapy in HCC patients.

Methods: According to the somatic mutation and transcript data of 364 patients with HCC, we determined differentially expressed genome instability-related lncRNAs (GInLncRNAs). Gene ontology (GO) enrichment analyses and Kyoto Encyclopedia of genes and genomes enrichment analyses revealed the potential functions of genes co-expressed with those lncRNAs involved in cancer development and immune function. We further determined a genome instability-related lncRNA signature (GInLncSig) through Cox regression analysis and LASSO regression analysis. Thereafter, we performed correlation analyses with mutations, clinical stratification analyses, and survival analyses to evaluate GInLncSig predictive function. Subsequently, we construct a nomogram model for prognostic assessments of patients with HCC. Finally, we performed Immunocytes infiltration analysis, gene set enrichment analysis (ssGSEA) of immunity circle-associated pathways, and T cell-inflamed score to explore GInLncSig's potential value in guiding immunotherapy.

Results: We identified 11 independent prognosis-associated GInLncRNAs (AC002511.2, LINC00501, LINC02055, LINC02714, LINC01508, LOC105371967, RP11_96A15.1, RP11_305F18.1, RP11_342M1.3, RP11_432J24.3, U95743.1) to construct a GInLncSig. According to the risk score calculated by GInLncSig, the high-risk group was characterized by a higher somatic mutation count, significantly poorer clinical prognosis, higher T cell-inflamed score, and specific tumor immune infiltration status compared to the low-risk group. Furthermore, we constructed a nomogram model to improve the reliability and clinical utility of predicting the prognosis of patients with HCC.

Conclusion: Our study established a reliable prognostic prediction signature that could be a tool for prognosis prediction and a promising predictive biomarker of immunotherapy in hepatocellular carcinoma.
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http://dx.doi.org/10.1007/s12072-022-10375-yDOI Listing
August 2022

Matrix Bound Nanovesicles have Tissue Specific Characteristics that Suggest a Regulatory Role.

Tissue Eng Part A 2022 Aug 9. Epub 2022 Aug 9.

University of Pittsburgh, McGowan Institute for Regenerative Medicine, 450 Technology Drive, Suite 300, Pittsburgh, Pennsylvania, United States, 15219;

Recent studies have identified an extracellular vesicle population that is tightly anchored within the extracellular matrix of tissues and organs until released by matrix turnover events. Evidence suggests that these matrix-bound nanovesicles (MBV) are a ubiquitous component of the ECM, raising questions regarding their tissue specific identity and their biologic function(s). The primary objective of this study was to examine MBV isolated from six different tissues and compare their physical and compositional characteristics to determine the common and differentially expressed features. Accordingly, the results of this characterization show that while MBV are a ubiquitous component of the ECM they contain a protein and miRNA cargo that is tissue specific. The results furthermore suggest that MBV have an important role in regulating tissue homeostasis.
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http://dx.doi.org/10.1089/ten.TEA.2022.0091DOI Listing
August 2022

Research Progress on Exosomes in Osteonecrosis of the Femoral Head.

Orthop Surg 2022 Aug 4. Epub 2022 Aug 4.

Institute of Orthopedics, Beijing Key Laboratory of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, Chinese PLA General Hospital, Beijing, China.

Osteonecrosis of the femoral head (ONFH) is a progressive disease that often necessitates hip replacement if hip preservation therapy fails. ONFH places a heavy economic burden and severe psychological pressure on patients. At present, ONFH is treated by either surgical or non-surgical methods. In clinical practice, stem cells combined with surgery has achieved some positive results, but many problems remain to be resolved. Exosomes are small vesicles of 30-150 nm, which are rich in various nucleic acids, proteins, and small molecules depending on the cells from which they are derived. A growing number of studies have found that exosomes play an important role in tissue damage repair. In comparison with stem cells, exosomes have lower immunogenicity. Also, exosomes can promote cell proliferation and inhibit tumor growth. In addition, exosomes can also be used as natural carriers of drugs. Many studies have shown that exosomes have therapeutic effects in hormone-induced ONFH. Exosomes have the effect of promoting vascular regeneration and show good application prospects in ONFH. Here, we present a review of studies on the application of exosomes in ONFH to provide a reference for future research.
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http://dx.doi.org/10.1111/os.13393DOI Listing
August 2022

Quantitative evaluation of the hemodynamic differences between ruptured and unruptured cerebral arteriovenous malformations using angiographic parametric imaging-derived radiomics features.

Neuroradiology 2022 Aug 4. Epub 2022 Aug 4.

Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Purpose: Imaging features of cerebral arteriovenous malformations (AVMs) are mainly interpreted according to demographic and qualitative anatomical characteristics. This study aimed to use angiographic parametric imaging (API)-derived radiomics features to explore whether these features extracted from digital subtraction angiography (DSA) were associated with the hemorrhagic presentation of AVMs.

Methods: Patients with AVM were retrospectively evaluated. Among them, 80% were randomly assigned to a training dataset, and the remaining 20% were assigned to an independent test dataset. Radiomics features were extracted from DSA by API. Then, informative features were selected from radiomics features and clinical features using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. A model was constructed based on the selected features to classify the dichotomous hemorrhagic presentation in the training dataset. The model performance was evaluated in the test dataset with confusion matrix-related metrics.

Results: A total of 529 consecutive patients with AVMs between July 2011 and December 2020 were included in this study. After being selected by the LASSO algorithm and analyzed by multivariable logistic regression, three clinical features, namely, age (p = 0.01), nidus size (p < 0.001), and venous drainage patterns (p < 0.001), and four radiomics features were used to construct a model in the training dataset. On the independent test dataset, the model demonstrated a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 0.852, 0.844, 0.881, 0.809, and 0.849, respectively.

Conclusion: The radiomics features extracted from DSA by API could be potential indicators for the hemorrhagic presentation of AVMs.
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http://dx.doi.org/10.1007/s00234-022-03030-8DOI Listing
August 2022

The Bladder Microbiome, Metabolome, Cytokines, and Phenotypes in Patients with Systemic Lupus Erythematosus.

Microbiol Spectr 2022 Aug 1:e0021222. Epub 2022 Aug 1.

Department of Urology, Affiliated Wuxi No. 2 Hospital, Nanjing Medical Universitygrid.89957.3a, Wuxi, Jiangsu, China.

Emerging studies reveal unique bacterial communities in the human bladder, with alteration of composition associated to disease states. Systemic lupus erythematosus (SLE) is a complex autoimmune disease that is characterized by frequent impairment of the kidney. Here, we explored the bladder microbiome, metabolome, and cytokine profiles in SLE patients, as well as correlations between microbiome and metabolome, cytokines, and disease profiles. We recruited a group of 50 SLE patients and 50 individually matched asymptomatic controls. We used transurethral catheterization to collect urine samples, 16S rRNA gene sequencing to profile bladder microbiomes, and liquid chromatography-tandem mass spectrometry to perform untargeted metabolomic profiling. Compared to controls, SLE patients possessed unique bladder microbial communities and increased alpha diversity. These differences were accompanied by differences in urinary metabolomes, cytokines, and patients' disease profiles. The SLE-enriched genera, including , were positively correlated with several SLE-enriched metabolites, including olopatadine. The SLE-depleted genera, such as Pseudomonas, were negatively correlated to SLE-depleted cytokines, including interleukin-8. Alteration of the bladder microbiome was associated with disease profile. For example, the genera and were negatively correlated with serum complement component 3, and Streptococcus was positively correlated with IgG. Our present study reveals associations between the bladder microbiome and the urinary metabolome, cytokines, and disease phenotypes. Our results could help identify biomarkers for SLE. Contrary to dogma, the human urinary bladder possesses its own unique bacterial community with alteration of composition associated with disease states. Systemic lupus erythematosus (SLE) is a complex autoimmune disease often characterized by kidney impairment. Here, we explored the bladder microbiome, metabolome, and cytokine profiles in SLE patients, as well as correlations between the microbiome and metabolome, cytokines, and disease profiles. Compared to controls, SLE patients possessed a unique bladder microbial community and elevated alpha diversity. These differences were accompanied by differences in bladder metabolomes, cytokines, and patients' disease profiles. SLE-enriched genera were positively correlated with several SLE-enriched metabolites. SLE-depleted genera were negatively correlated to SLE-depleted cytokines. Alteration of the bladder microbiome was associated with disease profile. Thus, our study reveals associations between the bladder microbiome and the bladder metabolome, cytokines, and disease phenotypes. These results could help identify biomarkers for SLE.
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http://dx.doi.org/10.1128/spectrum.00212-22DOI Listing
August 2022

Complete chloroplast genome of an invasive marine macroalga (Ulvophyceae, Chlorophyta).

Mitochondrial DNA B Resour 2022 22;7(7):1337-1339. Epub 2022 Jul 22.

CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.

Species belonging to (Ulvophyceae, Chlorophyta) are one of the major members of invasive seaweeds. Wille 1899 was originally believed to be native to the Pacific coast of North America, while in recent years it has been reported as exotic species, or new record, in Europe, the Mediterranean, Asia, and Oceania. However, the paths of global dispersal of are unclear. In addition, the species boundary between and a related species is somewhat disputed. Here, we reported that the complete chloroplast genome of is 92,126 bp in size, harboring 96 genes (GenBank accession no. MZ561475). The overall base composition was A (37.9%), T (37.4%), C (12.3%), and G (12.4%), similar to those from other species. The phylogenomic analysis showed that although was genetically closer to (Bliding) Maggs 2018 in [Krupnik N et al., 2018], they were clearly distinguishable, supporting the recent opinion that they should be separated into different species. The chloroplast genome data of would provide plenty resources for phylogeography analysis and monitor on bioinvasion.
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http://dx.doi.org/10.1080/23802359.2022.2098854DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310910PMC
July 2022

Damage Characterization of Carbon Fiber Composite Pressure Vessels Based on Modal Acoustic Emission.

Materials (Basel) 2022 Jul 8;15(14). Epub 2022 Jul 8.

College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China.

This study characterized the damage characteristics of carbon fiber composite pressure vessels by the modal acoustic emission (MAE) method. The study showed how to use the extracted damage modal features and established MAE parameters to determine the damage mode of composite pressure vessels. First, the A and S Lamb modes of the AE signal were split through mode separation, and the time window was selected to establish the MAE characteristic parameters. Subsequently, based on the MAE parameters and the damage mode characteristics established from single damage experiments, a damage mode discrimination method was established. A bending test of carbon fiber composite laminates proved that the modal separation method and the MAE parameters establishment are reasonable and effective. The results from the hydraulic test of the graded loading performed on 20 MPa carbon fiber composite pressure vessels showed the accuracy of the damage mode discrimination method, and the damage state of the pressure vessel could be analyzed using the fiber fracture damage threshold according to the MAE parameters.
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http://dx.doi.org/10.3390/ma15144783DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319663PMC
July 2022

Correction to: MircoRNA-126-5p inhibits apoptosis of endothelial cell in vascular arterial walls via NF-κB/PI3K/AKT/mTOR signaling pathway in atherosclerosis.

J Mol Histol 2022 Jul 23. Epub 2022 Jul 23.

Department of 2nd Ophthalmology, The First Branch of Mudanjiang Medical University Affiliated Hongqi Hospital, Mudanjiang, 157011, Heilongjiang, China.

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http://dx.doi.org/10.1007/s10735-022-10091-9DOI Listing
July 2022

Promotion of formaldehyde degradation by electro-Fenton: Controlling the distribution of ·OH and formaldehyde near cathode to increase the reaction probability.

Chemosphere 2022 Jul 19:135776. Epub 2022 Jul 19.

School of Civil and Architectural Engineering, Northeast Petroleum University, Daqing, 163318, China.

The mismatch of pollutant concentration and ·OH concentration is the key reason for the inefficient degradation of formaldehyde in the electro-Fenton system. Therefore, formaldehyde and ·OH are adsorbed near the cathode, and the high concentration reaction region is constructed to increase the reaction probability, which is called control of the reaction region. Through nitrogen doping modification of the activated carbon cathode, the adsorption capacity of the modified cathode for formaldehyde and active species, and the selectivity of the two-electron oxygen reduction reaction were deeply analyzed. The results show that the suitable nitrogen doping form of the modified cathode significantly promotes the adsorption capacity of formaldehyde and HO, which is beneficial to realizing the promotion of formaldehyde degradation by nitrogen doped cathodes in the electro-Fenton system through control of the reaction region. Graphite nitrogen and pyrrolic nitrogen improve formaldehyde adsorption by enhancing the van der Waals force (8.897 mg g), and pyridinic nitrogen improve HO adsorption (1.841 mg g) by enhancing the effect of hydrogen bonding interaction. Nitrogen doping enhances Fe regeneration, which contributes to the generation of ·OH at the cathode, and promotes formaldehyde degradation. The control of the reaction region through modification of the electro-Fenton cathode achieved formaldehyde degradation of 35.1 mg L (48.51% higher than that of the unmodified cathode), which provides a promising process for formaldehyde treatment.
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http://dx.doi.org/10.1016/j.chemosphere.2022.135776DOI Listing
July 2022

The Application of Pulmonary Ultrasound in Neonatal Ventilator-Associated Pneumonia.

Authors:
Peng Jiang Jing Wei

Front Pediatr 2022 29;10:882056. Epub 2022 Jun 29.

Department of Ultrasonography, Liaocheng People's Hospital, Liaocheng, China.

This study explored the application value of lung ultrasound (LUS) in neonatal ventilator-associated pneumonia (NVAP). In this study, 122 newborns suspected of NVAP were treated in the NICU of Liaocheng People's Hospital between July 1, 2020, and July 1, 2021. Of these, 115 were clinically diagnosed with NVAP. The diagnostic value of LUS for NVAP was determined by comparing the different signs of LUS and chest X-ray (CXR). The confirmed cases were divided into the failure and success groups according to the first ventilator weaning test results. The consistency between the results of LUS and CXR and the actual test results was compared between the two groups. Before treatment, the LUS findings of the confirmed cases showed a lung consolidation with air bronchogram sign (111/115), alveolar-interstitial syndrome (113/115), pleural effusion (12/115), pleural line abnormalities (114/115), and lung pulse (15/115). CXR showed 109 cases of pneumonia. Taking the clinical diagnosis of VAP as the gold standard, the lung consolidation with air bronchogram sign on LUS had a higher sensitivity, specificity, and accuracy for the diagnosis of NVAP than those of other LUS and CXR findings and showed better consistency with the clinical diagnosis ( = 0.983, kappa value = 0.761, < 0.05). After treatment, the 115 cases were divided into two groups according to the results of the first weaning from ventilation: the failed group (19 cases) and the successful group (96 cases). The lung consolidation with air bronchogram sign was used as the positive diagnostic standard of ultrasound. The sensitivity and specificity of LUS (94.7 and 89.6%, respectively) in evaluating the outcome of weaning from the ventilator of pneumonia were higher than those of CXR (73.7 and 84.4%, respectively). Additionally, the consistency of the LUS findings with the weaning results was higher than that of CXR ( = 0.922, kappa value = 0.709, < 0.05). Therefore, compared with CXR, LUS has a higher value in diagnosing NVAP and can better predict the results of the ventilator off-line test. LUS can replace CXR as the first imaging examination for NVAP.
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http://dx.doi.org/10.3389/fped.2022.882056DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276925PMC
June 2022

Alteration of Skin Microbiome in CKD Patients Is Associated With Pruritus and Renal Function.

Front Cell Infect Microbiol 2022 28;12:923581. Epub 2022 Jun 28.

Department of Urology, Wuxi No. 2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University, Wuxi, China.

Dysbiotic gut microbiome in chronic kidney disease (CKD) patients has been extensively explored in recent years. Skin microbiome plays a crucial role in patients with skin diseases or even systemic disorders. Pruritus is caused by the retention of uremic solutes in the skin. Until now, no studies have investigated the role of skin microbiome in CKD and its association with pruritus. Here, we aim to examine the bacterial profile of skin microbiome in CKD and whether it is correlated to pruritus. A total of 105 CKD patients and 38 healthy controls (HC) were recruited. Skin swab was used to collect skin samples at the antecubital fossa of participants. Bacterial 16S rRNA genes V3-V4 region was sequenced on NovaSeq platform. On the day of skin sample collection, renal function was assessed, and numeric rating scale was used to measure pruritus severity. Principal coordinate analysis (PCoA) revealed a significant difference in bacterial composition between the groups of CKD and HC. A depletion of bacterial diversity was observed in CKD patients. , , , etc. showed significant higher abundance in CKD patients, whereas , , , etc. significantly declined in patients. achieved an acceptable diagnostic biomarker with area under the curve (AUC) value of 0.784 in the receiver operating characteristics (ROC) curve. In addition, CKD patients with pruritus (P-CKD) had a different bacterial community comparing to those without pruritus (non-P-CKD) and HC group. Several bacterial genera showing significant difference between P-CKD and non-P-CKD/HC, such as , significantly declined in P-CKD patients than that in the HC group, and significantly increased in P-CKD patients compared to that in HC subjects. was positively associated with the levels of pruritus severity, blood urea nitrogen (BUN), uric acid, and urine protein; was negatively associated with pruritus severity, whereas it was positively associated with estimated glomerular filtration rate (eGFR) and 24-h urine volume. The dysbiotic of skin microbiome in CKD patients and its association with pruritus and renal function shed a light on skin probiotics.
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http://dx.doi.org/10.3389/fcimb.2022.923581DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274276PMC
July 2022

Real-world data analysis of immune checkpoint inhibitors in stage III-IV adenocarcinoma and squamous cell carcinoma.

BMC Cancer 2022 Jul 13;22(1):762. Epub 2022 Jul 13.

Department of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, No. 107 Wenhua Xilu, Jinan, 250012, Shandong, China.

Background: This study was designed to investigate the clinical application, efficacy, and safety of immune checkpoint inhibitors (ICIs) in the treatment of lung cancer in the real world.

Methods: A retrospective, observational analysis was conducted on patients treated with ICIs in four tertiary hospitals in the region from January 2015 to March 2021, to evaluate the clinical efficacy of ICIs single-agent or combined chemotherapy and anti-vascular drugs in the first-line or second-line treatment of patients with lung cancer.

Results: Three hundred and fifteen patients were enrolled in this study. In patients with stage III-IV adenocarcinoma and Squamous cell carcinoma, the objective response rate (ORR) and disease control rate (DCR) were 35.5% (87/245) and 93.5% (229/245), respectively, the median progression-free survival (PFS) was 10.8 months, and the median overall survival (OS) was not reached. A total of 132 patients received ICIs as the first-line treatment, the median treatment cycle was 8 cycles (2-20 cycles), the short-term efficacy ORR was 38.6%, DCR was 93.9%, and the median PFS was 11.4 months. One hundred thirteen patients received ICIs treatment as second-line treatment, the median treatment cycle was five cycles (2-10 cycles), the short-term efficacy ORR was 31.9%, DCR was 92.9%, and the median PFS was 10.0 months. There were no statistically significant differences in ORR, DCR, or median PFS with ICIs as the first-line treatment compared with the second-line treatment(P > 0.05). The results of subgroup analysis showed that Eastern Cooperative Oncology Group performance status (ECOG PS), epidermal growth factor receptor (EGFR) mutation status, pathological type and number of treatment lines were not correlated with median PFS(P > 0.05). However, there were statistically significant differences in programmed death-ligand 1(PD-L1) expression, corticosteroid interference, and antibiotic (Abx) treatment among all groups (P < 0.05). In terms of safety, the overall incidence of adverse reactions in 315 patients was 62.5%, and the incidence of immune-related adverse events (irAEs) was 13.7%. Grade 1-2 and 3-4 incidence of adverse events were 34.9 and 27.65%, respectively. There were four patients who experienced fatal irAEs, two cases were liver damage leading to liver failure, one case was immune related pneumonia, and one case was immune related myocarditis.

Conclusion: In the real world, ICIs has a good effect on patients with lung cancer and significantly improves ORR and PFS.
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http://dx.doi.org/10.1186/s12885-022-09843-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277844PMC
July 2022

SrTiO /CuNi-Heterostructure-Based Thermopile for Sensitive Human Radiation Detection and Noncontact Human-Machine Interaction.

Adv Mater 2022 Jul 11:e2204355. Epub 2022 Jul 11.

State Key Laboratory of Catalysis, Dalian National Laboratory for Clean Energy, CAS Center for Excellence in Nanoscience, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, China.

Noncontact interactive technology provides an intelligent solution to mitigate public health risks from cross-infection in the era of COVID-19. The utilization of human radiation as a stimulus source is conducive to the implementation of low-power, robust noncontact human-machine interaction. However, the low radiation intensity emitted by humans puts forward a high demand for photodetection performance. Here, a SrTiO /CuNi-heterostructure-based thermopile is constructed, which features the combination of high thermoelectric performance and near-unity long-wave infrared absorption, to realize the self-powered detection of human radiation. The response level of this thermopile to human radiation is orders of magnitude higher than those of low-dimensional-materials-based photothermoelectric detectors and even commercial thermopiles. Furthermore, a touchless input device based on the thermopile array is developed, which can recognize hand gestures, numbers, and letters in real-time. This work offers a reliable strategy to integrate the spontaneous human radiation into noncontact human-machine interaction systems.
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http://dx.doi.org/10.1002/adma.202204355DOI Listing
July 2022

Highly Efficient GSH-Responsive "Off-On" NIR-II Fluorescent Fenton Nanocatalyst for Multimodal Imaging-Guided Photothermal/Chemodynamic Synergistic Cancer Therapy.

Anal Chem 2022 07 11;94(29):10470-10478. Epub 2022 Jul 11.

Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (MOE), School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.

Accurate diagnosis and effective treatment of malignant tumors under the interference of complex and diverse tumor microenvironments (TMEs) have become the focus of research. Herein, an innovative TME-activated biomimetic nanocatalyst with quad-modal imaging capabilities of second near-infrared (NIR-II) "turn-on" fluorescence imaging, magnetic resonance imaging (MRI), photoacoustic imaging (PAI), and photothermal imaging (PTI) was designed and developed for self-enhanced photothermal/chemodynamic synergistic therapy. The catalyst was fabricated by loading glucose oxidase (GOD) and AgS quantum dots (QDs) on MnO nanosheets and coating them with a 4T1 cell membrane ([email protected]), which enables them to successfully escape immune clearance and have appealing tumor-targeting ability and biocompatibility. The NIR-II fluorescence at 1130 nm of AgS QDs quenched by MnO could be recovered through the glutathione (GSH)-induced degradation of MnO, enabling excellent TME-responsive tumor visualization. Simultaneously, the released Mn can catalyze HO to produce abundant hydroxyl radicals (•OH), achieving photothermal synergistically enhanced chemodynamic therapy (CDT) under NIR-II radiation. Moreover, the CDT could be self-enhanced by GOD due to the extra produced HO. This work demonstrates a novel and highly efficient multimodal imaging-guided integrated treatment strategy for dual-enhanced CDT tumor precise diagnosis and treatment.
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http://dx.doi.org/10.1021/acs.analchem.2c01738DOI Listing
July 2022

Characterization of the Gene Family Reveals Genes for FHB Resistance in Bread Wheat ( L.).

Int J Mol Sci 2022 Jun 28;23(13). Epub 2022 Jun 28.

CIMMYT-JAAS Joint Center for Wheat Diseases, Key Laboratory of Germplasm Innovation in Downstream of Huaihe River (Nanjing), Ministry of Agriculture and Rural Affairs, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.

Wall-associated kinases (WAKs) are important receptor-like proteins that play major roles in plant defense against pathogens. Fusarium head blight (FHB), one of the most widespread and devastating crop diseases, reduces wheat yield and leads to quality deterioration. Although WAK gene families have been studied in many plants, systematic research on bread wheat () and its role in FHB resistance, in particular, is lacking. In this study, we identified and characterized 320 genes of the TaWAK family in wheat distributed across all chromosomes except 4B and divided them into three phylogenetic groups. Duplication and synteny analyses provided valuable information on the evolutionary characteristics of the genes. The gene expression pattern analysis suggested that genes play diverse roles in plant biological processes and that at least 30 genes may be involved in the response to Fusarium infection in wheat spikes, with most of the genes contributing to pectin- and chitin-induced defense pathways. Furthermore, 45 genes were identified within 17 hcmQTLs that are related to wheat FHB resistance. Our findings provide potential candidate genes for improving FHB resistance and insights into the future functional analysis of genes in wheat.
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http://dx.doi.org/10.3390/ijms23137157DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266398PMC
June 2022

The Impact of Blockchain Application on the Qualification Rate and Circulation Efficiency of Agricultural Products: A Simulation Analysis with Agent-Based Modelling.

Int J Environ Res Public Health 2022 Jun 23;19(13). Epub 2022 Jun 23.

College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China.

In the context of COVID-19, the circulation of agricultural products is increasingly important for the nutrition and health of people. With the changing needs of society and the advancement of technology, the agricultural product circulation system needs to undergo corresponding changes to adapt to the modern fast-paced social system. Blockchain technology couples with the circulation of agricultural products, as its technical features, such as immutability and a distributed ledger database, ensures the speed and stability of the key information circulation process of agricultural products. The research goal of this paper was to clarify the influence of blockchain technology on the qualification rate and circulation efficiency for agricultural products. Based on the main characteristics of blockchain technology and a summary of domestic and foreign theoretical research, this paper simulated the impacts of blockchain technology on the agricultural product circulation system. The results revealed that blockchain technology can improve the qualification rate of agricultural products and thereby ensure their quality and safety. The introduction of blockchain increased the qualification rate by nearly 30%. Moreover, blockchain technology significantly enhanced the efficiency of the agricultural product circulation system, thereby greatly promoting economic benefits. The introduction of blockchain increased circulation efficiency by nearly 15%. Finally, the introduction of blockchain technology can effectively promote the governance level and reduce the supervision costs of the agricultural product circulation system. Through simulation analysis, we found that blockchain technology has a positive impact on both the qualification rate and circulation efficiency for agricultural products. These findings enrich research into the application of blockchain technology in the management and circulation of modern agricultural products.
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http://dx.doi.org/10.3390/ijerph19137686DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265333PMC
June 2022

Type-I-interferon signaling drives microglial dysfunction and senescence in human iPSC models of Down syndrome and Alzheimer's disease.

Cell Stem Cell 2022 Jul;29(7):1135-1153.e8

Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854, USA. Electronic address:

Microglia are critical in brain development and Alzheimer's disease (AD) etiology. Down syndrome (DS) is the most common genetic developmental disorder and risk factor for AD. Surprisingly, little information is available on the impact of trisomy of human chromosome 21 (Hsa21) on microglial functions during DS brain development and in AD in DS. Using induced pluripotent stem cell (iPSC)-based organoid and chimeric mouse models, we report that DS microglia exhibit an enhanced synaptic pruning function, which alters neuronal synaptic functions. In response to human brain tissue-derived pathological tau, DS microglia undergo cellular senescence and exhibit elevated type-I-interferon signaling. Mechanistically, knockdown of Hsa21-encoded type I interferon receptors, IFNARs, rescues the DS microglial phenotypes both during brain development and in response to pathological tau. Our findings provide in vivo evidence that human microglia respond to pathological tau by exhibiting dystrophic phenotypes. Targeting IFNARs may improve DS microglial functions and prevent senescence.
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http://dx.doi.org/10.1016/j.stem.2022.06.007DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9345168PMC
July 2022

Dynamic Carbon-Neutrality Assessment Needed to Tackle the Impacts of Global Crises.

Environ Sci Technol 2022 07 7;56(14):9851-9853. Epub 2022 Jul 7.

James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.

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http://dx.doi.org/10.1021/acs.est.2c04412DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301906PMC
July 2022

An Optical Fiber Sensing Method for Measuring the Surface Flatness of an Object.

Comput Intell Neurosci 2022 27;2022:8023271. Epub 2022 Jun 27.

Tianjin Motimo Membrane Technology Co., Ltd., Tianjin 300457, China.

Sensing of data or object is a mature research domain where intelligent devices, may possibly be embedded with the artificial intelligence-based techniques, are placed in the closed vicinity of the object or phenomenon. This sensing activity becomes more complex if it is related to the measurements of an object which is required to be accurate and precise. In this paper, the reflection interference spectrum method is used to measure the flatness of the surface of the object. The thickness of the tested object is between 0.4 and 16 m. The optical fiber sensor is moved on the surface of the object, and the reflection spectrum of each point on the surface of the object is analyzed. The thickness of each point, and through the movement of the stepping motor, the thickness of different points on the object is continuously measured, so as to obtain the surface topography of the object. This method has no destructive effect on the surface of the object, has no lateral test range limitation, and has a simple test system structure, High test accuracy, and reliable test results.
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http://dx.doi.org/10.1155/2022/8023271DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252658PMC
July 2022

Carbon phosphide nanoribbons with spatial inversion symmetry: robust generators of pure spin current with a photogalvanic effect.

Phys Chem Chem Phys 2022 Jul 21;24(28):17131-17139. Epub 2022 Jul 21.

School of Electronic and Information Engineering, Changshu Institute of Technology, Changshu 215500, China.

Our recent work has demonstrated that the spin-dependent photogalvanic effect (PGE) is an ideal way to induce pure spin current in certain centrosymmetric systems (X. Tao, P. Jiang, H. Hao, X. Zheng, L. Zhang and Z. Zeng, , 2020, , 081402), and thus the search for appropriate materials or structures is the key to realize it. Here, we theoretically propose a spin optoelectric device with α-phase carbon phosphide nanoribbons (α-CPNRs) to generate pure spin current by PGE using density functional theory simulation. By designing an α-CPNR based device with a centrosymmetric structure, due to the structural inversion symmetry and real space spin polarization antisymmetry of the system, the PGE induced pure spin current without any accompanying charge current can be always obtained, independent of polarization type and polarization angle of the photons. Furthermore, the magnitude of pure spin current can be greatly increased (nearly by an order of magnitude) by applying antiparallel electrical fields in the two leads to tune the spin density and band structure. Furthermore, by applying parallel electrical fields, a fully spin-polarized photocurrent can be produced in this system, suggesting a fantastic scheme to achieve half-metallic transport, another important goal in spintronics. These investigations suggest that the optoelectric devices constructed by α-CPNRs will have great potential in spintronics.
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http://dx.doi.org/10.1039/d2cp01451cDOI Listing
July 2022

The proteome profiling of EVs originating from senescent cell model using quantitative proteomics and parallel reaction monitoring.

J Proteomics 2022 Aug 2;266:104669. Epub 2022 Jul 2.

Institute of blood transfusion, Chinese Academy of Medical Sciences and Peking Union Medical College, Chengdu 610052, China. Electronic address:

Senescence is the inevitable biological processes and is also considered as the biggest risk factor for the development of age - related diseases (ARDs) and geriatric syndrome (GS). Senescence is also known as inflammaging because it is characterized by persistent, long-term, low-grade inflammation named senescence-associated secretory phenotype (SASP). However, the mechanism for the persistence of inflammaging remains largely unclear. To explore the role of extracellular vesicles (EVs) in senescence/inflammaging, we established the cellular senescence model and performed TMT-based comparative quantitative proteomics and parallel reaction monitoring (PRM) to reveal the changes of EVs between young cells and senescent cells. A total of 3966 proteins were quantifiable, of which 132 were up-regulated, 144 were down-regulated, compared with the young cells. Subsequently, we chose 19 proteins involved in inflammation or proliferation to carry out PRM validation analysis. The result indicated that proteins promoting NF-κB signal pathway were up-regulated, and proteins promoting cell proliferation were down-regulated. The study provided a comprehensive altered proteomics profiles of EVs from senescent cells, and the result showed that EVs could serve as information carrier for further research on the pathogenesis and progression of senescence/inflammaging. SIGNIFICANCE: The mechanism of inflammaging occurrence and development has yet been clear. Therefore, this study attempts to provide an improved understanding of inflammaging from the perspective of EVs. The proteomics analysis revealed that the most changed proteins were connected to inflammation signaling pathways, cell growth and cell death, and PRM analysis results showed that proteins involved in NF-κB signal pathway and cell proliferation were more changed. The research systematically analyzed the profiles of proteins in senescence cell model, and the result indicated that further research should focus on the relationship between EVs and senescence/inflammaging.
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http://dx.doi.org/10.1016/j.jprot.2022.104669DOI Listing
August 2022

Engineering Water Molecules Activation Center on Multisite Electrocatalysts for Enhanced CO Methanation.

J Am Chem Soc 2022 Jul 5;144(28):12807-12815. Epub 2022 Jul 5.

Department of Chemistry, Tsinghua University, Beijing 100084, P. R. China.

The renewable energy-powered electrolytic reduction of carbon dioxide (CO) to methane (CH) using water as a reaction medium is one of the most promising paths to store intermittent renewable energy and address global energy and sustainability problems. However, the role of water in the electrolyte is often overlooked. In particular, the slow water dissociation kinetics limits the proton-feeding rate, which severely damages the selectivity and activity of the methanation process involving multiple electrons and protons transfer. Here, we present a novel tandem catalyst comprising Ir single-atom (Ir)-doped hybrid CuN/CuO multisite that operates efficiently in converting CO to CH. Experimental and theoretical calculation results reveal that the Ir facilitates water dissociation into proton and feeds to the hybrid CuN/CuO sites for the *CO protonation pathway toward *CHO. The catalyst displays a high Faradaic efficiency of 75% for CH with a current density of 320 mA cm in the flow cell. This work provides a promising strategy for the rational design of high-efficiency multisite catalytic systems.
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http://dx.doi.org/10.1021/jacs.2c03875DOI Listing
July 2022

Gut Mycobiome in Patients With Chronic Kidney Disease Was Altered and Associated With Immunological Profiles.

Front Immunol 2022 16;13:843695. Epub 2022 Jun 16.

Department of Urology, Affiliated Wuxi No.2 Hospital, Nantong University, Wuxi, China.

Objectives: Mounting evidence suggests that bacterial dysbiosis and immunity disorder are associated with patients with chronic kidney disease (CKD), but the mycobiome is beginning to gain recognition as a fundamental part of our microbiome. We aim to characterize the profile of the mycobiome in the gut of CKD patients and its correlation to serum immunological profiles.

Methods And Materials: Ninety-two CKD patients and sex-age-body mass index (BMI)-matched healthy controls (HCs) were recruited. Fresh samples were collected using sterile containers. ITS transcribed spacer ribosomal RNA gene sequencing was performed on the samples. An immunoturbidimetric test was used to assess the serum levels of immunological features.

Results: The CKD cohort displayed a different microbial community from that in the HC cohort according to principal coordinate analysis (PCoA). (=0.001). The comparison of the two cohorts showed that the CKD cohort had significantly higher gut microbial richness and diversity (<0.05). The CKD cohort had lower abundances of , , , and compared to the HC cohort, while it had higher (<0.05). However, the microbial community alteration was inconsistent with the severity of kidney damage in patients, as only patients in CKD stage 1~3 had differed microbial community concerning for HCs based on PCoA (<0.05). The serum concentration of the kappa light chain in CKD patients was positively associated with , whereas the it was negatively associated with (<0.05).

Conclusions: Not only was gut mycobiome dysbiosis observed in CKD patients, but the dysbiosis was also associated with the immunological disorder. These findings suggest that therapeutic strategies targeting gut mycobiome might be effective.
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http://dx.doi.org/10.3389/fimmu.2022.843695DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245424PMC
June 2022

Functional skewing of TRIM21-SIRT5 interplay dictates IL-1β production in DSS-induced colitis.

EMBO Rep 2022 Jun 30:e54391. Epub 2022 Jun 30.

State Key Laboratory of Medical Molecular Biology, Haihe Laboratory of Cell Ecosystem, Department of Cell Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.

Macrophage polarization determines the production of pro- or anti-inflammatory cytokines in response to various bacterial and virus infections. Here, we report that pro-inflammatory macrophage polarization induced by lipopolysaccharide (LPS) skews the TRIM21-SIRT5 interplay toward TRIM21 activation and SIRT5 degradation, resulting in an enhancement of interleukin (IL)-1β production in vitro and in vivo. Mechanistically, LPS challenge enhances the interaction between TRIM21 and SIRT5 to promote SIRT5 ubiquitination and degradation, while reducing the binding of SIRT5 to HAUSP, a deubiquitinating enzyme that stabilizes SIRT5. In a feedback loop, SIRT5 degradation sustains the acetylation of TRIM21 at Lys351, thereby increasing its E3 ligase activity in LPS-activated macrophages. Thus, we identify a functional balance between TRIM21 and SIRT5 that is tilted toward SIRT5 suppression in response to LPS stimulation, thereby enhancing IL-1β production during inflammation.
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http://dx.doi.org/10.15252/embr.202154391DOI Listing
June 2022

Anterior quadratus lumborum block in the management of severe drug-resistant pain due to primary dysmenorrhoea.

Eur J Pain 2022 Jun 27. Epub 2022 Jun 27.

Department of Anesthesiology, Affiliated Hospital of Jiangsu University, Jiangsu Province, China.

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http://dx.doi.org/10.1002/ejp.2001DOI Listing
June 2022

A novel deployment strategy of monitors for vehicle emission remote sensing system.

ISA Trans 2022 Apr 19. Epub 2022 Apr 19.

Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk 664033, Russia.

A novel deployment strategy for monitors is presented in this paper. Firstly, the real road networks are modeled though graph-theoretic analysis with limited information like the topology of the road networks and the direction of traffic flows; secondly, an appropriate visiting order of vertexes is obtained by the breadth-first search algorithm; thirdly, a minimum set of roads to deploy monitors is calculated based on the balance attribute of traffic flows at each junction. Experiment results demonstrate that the proposed deployment strategy can not only decrease the redundancy of the deployed monitors, but also consider the real unbalanced vertexes in the road networks.
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http://dx.doi.org/10.1016/j.isatra.2022.04.022DOI Listing
April 2022

Deep Learning Approach for Damage Classification Based on Acoustic Emission Data in Composite Materials.

Materials (Basel) 2022 Jun 16;15(12). Epub 2022 Jun 16.

College of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China.

Damage detection and the classification of carbon fiber-reinforced composites using non-destructive testing (NDT) techniques are of great importance. This paper applies an acoustic emission (AE) technique to obtain AE data from three tensile damage tests determining fiber breakage, matrix cracking, and delamination. This article proposes a deep learning approach that combines a state-of-the-art deep learning technique for time series classification: the InceptionTime model with acoustic emission data for damage classification in composite materials. Raw AE time series and frequency-domain sequence data are used as the input for the InceptionTime network, and both obtain very high classification performances, achieving high accuracy scores of about 99%. The InceptionTime network produces better training, validation, and test accuracy with the raw AE time series data than it does with the frequency-domain sequence data. Simultaneously, the InceptionTime model network shows its potential in dealing with data imbalances.
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http://dx.doi.org/10.3390/ma15124270DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227811PMC
June 2022

New Deep Learning Model to Estimate Ozone Concentrations Found Worrying Exposure Level over Eastern China.

Int J Environ Res Public Health 2022 06 11;19(12). Epub 2022 Jun 11.

School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.

Ozone (O), whose concentrations have been increasing in eastern China recently, plays a key role in human health, biodiversity, and climate change. Accurate information about the spatiotemporal distribution of O is crucial for human exposure studies. We developed a deep learning model based on a long short-term memory (LSTM) network to estimate the daily maximum 8 h average (MDA8) O across eastern China in 2020. The proposed model combines LSTM with an attentional mechanism and residual connection structure. The model employed total O column product from the Tropospheric Monitoring Instrument, meteorological data, and other covariates as inputs. Then, the estimates from our model were compared with real observations of the China air quality monitoring network. The results indicated that our model performed better than other traditional models, such as the random forest model and deep neural network. The sample-based cross-validation R and RMSE of our model were 0.94 and 10.64 μg m, respectively. Based on the O distribution over eastern China derived from the model, we found that people in this region suffered from excessive O exposure. Approximately 81% of the population in eastern China was exposed to MDA8 O > 100 μg m for more than 150 days in 2020.
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http://dx.doi.org/10.3390/ijerph19127186DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223487PMC
June 2022
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