Publications by authors named "Kai Sun"

1,179 Publications

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Elastic and Stretchable Double Network Hydrogel as Printable Ink for High-Resolution Fabrication of Ionic Skin.

Int J Bioprint 2021 25;7(3):377. Epub 2021 Jun 25.

Key State Laboratory of Fine Chemicals, School of Bioengineering, Dalian University of Technology, No. 2 Linggong Road, High-tech District, Dalian, 116024, P.R. China.

A hydrogel that combines both printability and adaptability, high elasticity, and stretchability can provide ideal mechanical properties, and also render complex and accurate construction for ionic skin. However, it is extremely challenging. Here, we propose a colloidal-based double-network (DN) hydrogel as printable inks for high-precision fabrication of ionic skins. Particularly, polyacrylamide (PAAm), as the covalent network that can maintain the long-term material integrity, was combined with gelatin colloidal network to improve the injectability and printability of the resulting DN hydrogels. The DN design cooperatively provides the hydrogels with higher toughness values and deformability than what single colloidal or PAAm network can achieve. Further design of ionic skin based on capacitor microarray was demonstrated to serve as a sensitive and stable capacitor that can respond to external stimuli, thereby allowing to sense the body movements such as finger bending, laugh, and wrist pulse by translating mechanical changes into electric signals. Therefore, this study provides a novel strategy for the design and preparation of high-resolution ionic skins as the wearable sensor.
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http://dx.doi.org/10.18063/ijb.v7i3.377DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287495PMC
June 2021

Factors associated with corneal high-order aberrations before and after femtosecond laser-assisted keratomileusis.

Ann Transl Med 2021 Jun;9(12):989

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.

Background: Corneal high-order aberrations (HOAs) are related to visual quality. However, the factors associated with corneal HOAs before and after femtosecond laser-assisted in situ keratomileusis (FS-LASIK) have not yet been elucidated. The aim of this study is to observe the factors related to corneal HOAs before and after FS-LASIK.

Methods: Prospective observational study was designed to measure corneal HOAs in 149 eyes of 75 patients before and 6 months after FS-LASIK. The relationship between spherical diopter and corneal parameters, including K1 and K2 (horizontal and vertical refractive power of the cornea, respectively), the aspheric characteristics of the cornea (Q), mean radius of the curvature of the cornea (Rm), and central corneal thickness (CCT), with corneal HOAs were analyzed.

Results: The spherical diopter was correlated with trefoil at 30° before surgery and with vertical coma, four-order astigmatism at 0°, trefoil at 30°, spherical aberration, and six-order spherical aberration after surgery (P<0.05). CCT was correlated with vertical coma, four-order astigmatism at 0°, trefoil at 30°, and six-order spherical aberration after surgery (P<0.05). K1 was correlated with spherical aberration and six-order astigmatism at 0° before surgery (P<0.05). K2 was correlated with spherical aberration, six-order astigmatism at 45°, astigmatism at 0°, six-order astigmatism at 0° before surgery, and trefoil at 30° after surgery (P<0.05). Q was correlated with spherical aberration, six-order spherical aberration, and six-order astigmatism at 45° (P<0.05). Rm was correlated with six-order astigmatism at 0°, spherical aberration, six-order astigmatism at 45° before surgery, and astigmatism at 0° after surgery (P<0.05).

Conclusions: Corneal parameters and spherical diopter are related to the HOAs of the cornea before and after FS-LASIK.
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http://dx.doi.org/10.21037/atm-21-2367DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267252PMC
June 2021

Monitoring and Prognostic Analysis of Severe Cerebrovascular Diseases Based on Multi-Scale Dynamic Brain Imaging.

Front Neurosci 2021 30;15:684469. Epub 2021 Jun 30.

Department of Emergency Medicine, Hanyang Hospital, Wuhan University of Science and Technology, Wuhan, China.

Severe cerebrovascular disease is an acute cerebrovascular event that causes severe neurological damage in patients, and is often accompanied by severe dysfunction of multiple systems such as breathing and circulation. Patients with severe cerebrovascular disease are in critical condition, have many complications, and are prone to deterioration of neurological function. Therefore, they need closer monitoring and treatment. The treatment strategy in the acute phase directly determines the prognosis of the patient. The case of this article selected 90 patients with severe cerebrovascular disease who were hospitalized in four wards of the Department of Neurology and the Department of Critical Care Medicine in a university hospital. The included cases were in accordance with the guidelines for the prevention and treatment of cerebrovascular diseases. Patients with cerebral infarction are given routine treatments such as improving cerebral circulation, protecting nutrient brain cells, dehydration, and anti-platelet; patients with cerebral hemorrhage are treated within the corresponding safe time window. We use Statistical Product and Service Solutions (SPSS) Statistics21 software to perform statistical analysis on the results. Based on the study of the feature extraction process of convolutional neural network, according to the hierarchical principle of convolutional neural network, a backbone neural network MF (Multi-Features)-Dense Net that can realize the fusion, and extraction of multi-scale features is designed. The network combines the characteristics of densely connected network and feature pyramid network structure, and combines strong feature extraction ability, high robustness and relatively small parameter amount. An end-to-end monitoring algorithm for severe cerebrovascular diseases based on MF-Dense Net is proposed. In the experiment, the algorithm showed high monitoring accuracy, and at the same time reached the speed of real-time monitoring on the experimental platform. An improved spatial pyramid pooling structure is designed to strengthen the network's ability to merge and extract local features at the same level and at multiple scales, which can further improve the accuracy of algorithm monitoring by paying a small amount of additional computational cost. At the same time, a method is designed to strengthen the use of low-level features by improving the network structure, which improves the algorithm's monitoring performance on small-scale severe cerebrovascular diseases. For patients with severe cerebrovascular disease in general, APACHEII1, APACHEII2, APACHEII3 and the trend of APACHEII score change are divided into high-risk group and low-risk group. The overall severe cerebrovascular disease, severe cerebral hemorrhage and severe cerebral infarction are analyzed, respectively. The differences are statistically significant.
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http://dx.doi.org/10.3389/fnins.2021.684469DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277932PMC
June 2021

Microsurgery for Vestibular Schwannoma via Retrosigmoid Transmeatal Approach with Intraoperative Monitoring Techniques.

Balkan Med J 2021 Jul;38(4):212-221

Department of Neurosurgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Background: Functional preservation of cranial nerves remains an issue in surgical treatment of vestibular schwannoma.

Aims: To explore the functional outcomes of vestibular schwannoma removed by microsurgery via a retrosigmoid transmeatal approach with intraoperative monitoring techniques.

Study Design: A retrospective cross-sectional study was conducted on a group of patients with vestibular schwannoma operated by microsurgery.

Methods: The outcomes, including the extent of tumor removal, the anatomic positions of the facial nerve, and postoperative Karnofsky performance status score, facial nerve function, and hearing function were reviewed and were statistically compared among tumor sizes (small, medium, and giant) and intraoperative monitoring types [electrophysiological monitoring only (E), electrophysiological monitoring + intraoperative imaging examination (E+I), and electrophysiological monitoring + neuronavigation (E+N)].

Results: A total of 436 patients with VS received microsurgery. The position of the facial nerve was anterior in 85.5% of cases with small vestibular schwannoma. Other position patterns, especially anterior- superior and anterior-inferior, increased in tumors > 2.0 cm. Total resections were performed in all patients with small vestibular schwannoma. A total of 98.1% and 84.8% of patients with medium and giant vestibular schwannoma, respectively, had total resections. More than 90% of patients in all of the 3 monitoring groups had total resections. More than 80% of patients had excellent Karnofsky performance status score regardless of tumor size and monitoring type. After surgery, 100%, 84.4%, and 59.8% of patients with small-, medium-, and giant-sized vestibular schwannoma, respectively, had good facial nerve function. More than 70% of patients in all of the 3 monitoring groups had good facial nerve function postoperatively. The hearing preservation rate was 26.7% and 7.7% in small- and medium-sized vestibular schwannoma, respectively, and was 21.6% and 27.3% in the E group and the E+N group, respectively. The statistical analyses showed that tumor size was significantly associated with the extent of tumor resection, facial nerve localization, complications, postoperative Karnofsky performance status score, facial nerve function, and hearing function (all P ≤ .001). Monitoring type was significantly associated with the extent of resection (P ≤ .001). Additionally, patients in the E+N group had higher total resection rates than those in the E group (P ≤ .001). No cerebrospinal fluid leakage and surgery-related death occurred.

Conclusion: In vestibular schwannoma microsurgery, tumor size is an important parameter that affects the localization of the facial nerve, the extent of resection, postoperative outcomes and complications. Intraoperative electrophysiological techniques combined with neuronavigation may be helpful to improve the extent of resection.
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http://dx.doi.org/10.5152/balkanmedj.2021.20145DOI Listing
July 2021

Catalytic performance and mechanistic evaluation of sulfated CeO cubes for selective catalytic reduction of NO with ammonia.

J Hazard Mater 2021 Jul 1;420:126545. Epub 2021 Jul 1.

School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Sulfated CeO cubes were prepared by the impregnation of CeO cubes by ammonium sulfates, and further evaluated in selective catalytic reduction of NO with ammonia (NH-SCR). Catalytic activity tests indicated that NO reduction conversions and N selectivity of sulfated CeO cubes could be significantly improved compared to pure CeO cubes. The synthesized sulfated CeO cubes were further characterized by atom-resolved high angle annular dark-field (HAADF) imaging, Fourier-transform infrared spectroscopy (FTIR) by pyridine adsorption, and temperature-programmed reduction by H (H-TPR). The characterization results showed that sulfates were primarily dispersed through the corners, edges, and surfaces of CeO cubes, and did not significantly affect the crystal structures of CeO cubes. Sulfation treatment could create and strengthen Brønsted acid sites originated from the protons on surface sulfates, further facilitating ammonia adsorption and activation. The kinetic data indicated that the apparent reaction order of NO, O, and NH was 0.95 to 1.01, -0.01 to 0.00, and -0.18 to -0.15, respectively. It could speculate that gaseous phase NO involving in NO catalytic oxidation was the rate-determining step over sulfated CeO cubes for NH-SCR reaction. The presence of NH slightly inhibited the SCR reaction rate due to the competitive adsorption blocking NO oxidation sites.
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http://dx.doi.org/10.1016/j.jhazmat.2021.126545DOI Listing
July 2021

Quantitative Proteomics Reveal That Metabolic Improvement Contributes to the Cardioprotective Effect of T on Isoproterenol-Induced Cardiac Injury.

Front Physiol 2021 28;12:653349. Epub 2021 Jun 28.

Department of Integration of Chinese and Western Medicine, School of Basic Medical Sciences, Peking University, Beijing, China.

Background: T, a traditional Chinese medicine, has passed phase II, and is undergoing phase III clinical trials for treatment of ischemic cardiovascular disease by the US FDA. However, the role of T on isoproterenol (ISO)-induced cardiac injury is unknown. The present study aimed to explore the effect and underlying mechanism of T on ISO-induced cardiac injury.

Methods: Male Sprague-Dawley rats received subcutaneous injection of ISO saline solution at 24 h intervals for the first 3 days and then at 48 h intervals for the next 12 days. T at dose of 111.6 and 167.4 mg/kg was administrated by gavage for 15 consecutive days. Rat survival rate, cardiac function evaluation, morphological observation, quantitative proteomics, and Western blotting analysis were performed.

Results: T obviously improved ISO-induced low survival rate, attenuated ISO-evoked cardiac injury, as evidenced by myocardial blood flow, heart function, and morphology. Quantitative proteomics revealed that the cardioprotective effect of T relied on the regulation of metabolic pathways, including glycolipid metabolism and energy metabolism. T inhibited the enhancement of glycolysis, promoted fatty acid oxidation, and restored mitochondrial oxidative phosphorylation by regulating Eno1, Mcee, Bdh1, Ces1c, Apoc2, Decr1, Acaa2, Cbr4, ND2, Cox 6a, Cox17, ATP5g, and ATP5j, thus alleviated oxidative stress and energy metabolism disorder and ameliorated cardiac injury after ISO. The present study also verified that T significantly restrained ISO-induced increase of HSP70/HSP40 and suppressed the phosphorylation of ERK, further restored the expression of CX43, confirming the protective role of T in cardiac hypertrophy. Proteomics data are available ProteomeXchange with identifier PXD024641.

Conclusion: T reduced mortality and improves outcome in the model of ISO-induced cardiac injury and the cardioprotective role of T is correlated with the regulation of glycolipid metabolism, recovery of mitochondrial function, and improvement of myocardial energy.
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http://dx.doi.org/10.3389/fphys.2021.653349DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273540PMC
June 2021

circARL15 Plays a Critical Role in Intervertebral Disc Degeneration by Modulating miR-431-5p/DISC1.

Front Genet 2021 21;12:669598. Epub 2021 Jun 21.

Department of Orthopaedics, Fuyang Hospital of Anhui Medical University, Fuyang, China.

Background: Intervertebral disk degeneration (IDD) is a serious public health problem associated with genetic and environmental factors. However, the pathogenic factors involved and the pathological mechanism of this disease still remain enigmatic.

Methods: The associated microarray was downloaded and further analyzed using statistical software R. The competing endogenous RNA (ceRNA) co-expression network was constructed to measure the meaningful correlated expression of differentially expressed genes. We further measured the expression of circARL15/miR-431-5p/DISC1 in IDD tissues. Cell proliferation and apoptosis were detected in NP cells transfected with a circARL15 overexpression plasmid and miR-431-5p mimics. The expression of DISC1 was detected by immunohistochemistry and Western blot analysis.

Results: Within the ceRNA network, circARL15 is the most differentially expressed circular RNA. circARL15 was down-regulated in IDD and was negatively correlated with miR-431-5p and positively associated with DISC1. miR-431-5p was found to bind directly to circARL15 and DISC1. circARL15 inhibited nucleus pulposus cell apoptosis but promoted nucleus pulposus cell proliferation by targeting the miR-431-5p/DISC1 signaling pathway.

Conclusion: circARL15/miR-431-5p/DISC1 is involved in the pathogenesis of IDD, which might be helpful in determining the diagnostic biomarkers and providing potential therapeutic targets for patients with IDD.
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http://dx.doi.org/10.3389/fgene.2021.669598DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255806PMC
June 2021

3D deep learning model for the pretreatment evaluation of treatment response in locally advanced TESCC: A prospective study.

Int J Radiat Oncol Biol Phys 2021 Jul 3. Epub 2021 Jul 3.

Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China; Shandong Medical Imaging and Radiotherapy Engineering Center (SMIREC), Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China. Electronic address:

Purpose: To develop and validate a pretreatment CT-based deep-learning (DL) model for predicting the treatment response to concurrent chemoradiotherapy (CCRT) among patients with locally advanced thoracic esophageal squamous cell carcinoma (TESCC).

Materials And Methods: We conducted a prospective, multicenter study on the therapeutic efficacy of CCRT among TESCC patients across 9 hospitals in China (ChiCTR**********). A total of 306 patients with locally advanced TESCC diagnosed by histopathology from August 2015 to May 2020 were included in this study. A 3D deep-learning radiomics model (3D-DLRM) was developed and validated based on pretreatment CT images to predict the response to CCRT. Furthermore, the prediction performance of the newly developed 3D-DLRM was analyzed according to 3 categories: radiotherapy plan, radiation field, and prescription dose used.

Results: The 3D-DLRM achieved good prediction performance, with areas under the receiver operating characteristic curve (AUCs) of 0.897 (95% CI 0.840-0.959) for the training cohort and 0.833 (95% CI 0.654-1.000) for the validation cohort. Specifically, the 3D-DLRM accurately predicted patients who would not respond to CCRT, with a positive predictive value (PPV) of 100% for the validation cohort. Moreover, the 3D-DLRM performed well in all 3 categories, each with AUCs > 0.8 and PPVs of approximately 100%.

Conclusion: The proposed pretreatment CT-based 3D-DLRM provides a potential tool for predicting the response to CCRT among patients with locally advanced TESCC. With the help of precise pretreatment prediction, we may guide the individualized treatment of patients and improve survival.
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http://dx.doi.org/10.1016/j.ijrobp.2021.06.033DOI Listing
July 2021

Synergistic interplay of ABA and BR signal in regulating plant growth and adaptation.

Nat Plants 2021 Jul 5. Epub 2021 Jul 5.

State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, and the Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.

Complex antagonistic interactions between abscisic acid (ABA) and brassinosteroid (BR) signalling pathways have been widely documented. However, whether or how ABA interacts synergistically with BR in plants remains to be elucidated. Here, we report that low, but not high, concentration of ABA increases lamina joint inclination of rice seedling, which requires functional BR biosynthesis and signalling. Transcriptome analyses confirm that about 60% of low-concentration ABA early response genes can be regulated by BR in the same directions. ABA activates BR signal in a fast, limited and short-term manner and the BR-biosynthesis regulatory gene, OsGSR1, plays a key role during this process, whose expression is induced slightly by ABA through transcriptional factor ABI3. Moreover, the early short-term BR signal activation is also important for ABA-mediated salt stress tolerance. Intriguingly, the process and effect of short-term BR signal activation were covered by high concentration of ABA, implying adaptive mechanisms existed in plants to cope with varying degrees of stress.
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http://dx.doi.org/10.1038/s41477-021-00959-1DOI Listing
July 2021

The Neurogenic Compound P7C3 Regulates the Aerobic Glycolysis by Targeting Phosphoglycerate Kinase 1 in Glioma.

Front Oncol 2021 18;11:644492. Epub 2021 Jun 18.

The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.

Background: P7C3 is a neurogenic compound that exhibits neuroprotective properties in neural cells. However, its target proteins and effects in glioma are unknown.

Methods: The candidate P7C3 target proteins were analyzed using a human protein microarray containing 23136 human proteins. A streptavidin agarose affinity assay was used to verify the direct interaction between P7C3 and phosphoglycerate kinase 1 (PGK1). Mass spectrometry was used to identify the binding sites of PGK1 for P7C3 binding. Seahorse XF96 extracellular flux analyzer was used to measure the cell oxygen consumption rate and extracellular acidification rate. Glycolytic metabolites were measured using the related kits. Protein level was detected by western blotting and immunohistochemical staining. Autophagy was analyzed using a transmission electron microscope and western blotting. The malignancy of tumor progression and was analyzed based on cell viability, apoptosis and proliferation, migration and invasion, and xenograft model. Glial cells were marked by antibodies immunohistochemical staining.

Results: The human protein microarray identified 577 candidate P7C3 target proteins. The global profile of P7C3 target proteins indicated that P7C3 regulates glycolysis. Metabolic experiments confirmed that P7C3 regulates aerobic glycolysis in glioma cells. The underlying mechanism of P7C3 was found to be direct targeting PGK1 at lysine residues and asparagine residues, and the specific P7C3-PGK1 interaction led to decreased protein level and total intracellular kinase activity of PGK1. The Cancer Genome Atlas and Chinese Glioma Genome Atlas databases indicated that the mRNA level of PGK1 is significantly increased in high-grade glioma, and the abnormally high mRNA level of PGK1 is associated with a poor prognosis in patients with glioma, suggesting that PGK1 is a promising target for glioma therapy. The inhibition of PGK1 and the subsequent suppression of aerobic glycolysis caused by P7C3 inhibited the malignant growth of glioma and . Furthermore, P7C3 did not damage normal glial cells under concentration, which exhibit an inhibitory effect on gliomas.

Conclusions: This study revealed that P7C3 suppresses glioma by regulating aerobic glycolysis directly targeting PGK1. Furthermore, we identified the P7C3 target proteins for the first time which is expected to provide scientific clues for future studies.
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http://dx.doi.org/10.3389/fonc.2021.644492DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252887PMC
June 2021

CondenseNet with exclusive lasso regularization.

Neural Comput Appl 2021 Jun 27:1-16. Epub 2021 Jun 27.

School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049 People's Republic of China.

Group convolution has been widely used in deep learning community to achieve computation efficiency. In this paper, we develop CondenseNet-elasso to eliminate feature correlation among different convolution groups and alleviate neural network's overfitting problem. It applies exclusive lasso regularization on CondenseNet. The exclusive lasso regularizer encourages different convolution groups to use different subsets of input channels therefore learn more diversified features. Our experiment results on CIFAR10, CIFAR100 and Tiny ImageNet show that CondenseNets-elasso are more efficient than CondenseNets and other DenseNet' variants.
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http://dx.doi.org/10.1007/s00521-021-06222-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236312PMC
June 2021

OmiEmbed: A Unified Multi-Task Deep Learning Framework for Multi-Omics Data.

Cancers (Basel) 2021 Jun 18;13(12). Epub 2021 Jun 18.

Data Science Institute, Imperial College London, London SW7 2AZ, UK.

High-dimensional omics data contain intrinsic biomedical information that is crucial for personalised medicine. Nevertheless, it is challenging to capture them from the genome-wide data, due to the large number of molecular features and small number of available samples, which is also called "the curse of dimensionality" in machine learning. To tackle this problem and pave the way for machine learning-aided precision medicine, we proposed a unified multi-task deep learning framework named OmiEmbed to capture biomedical information from high-dimensional omics data with the deep embedding and downstream task modules. The deep embedding module learnt an omics embedding that mapped multiple omics data types into a latent space with lower dimensionality. Based on the new representation of multi-omics data, different downstream task modules were trained simultaneously and efficiently with the multi-task strategy to predict the comprehensive phenotype profile of each sample. OmiEmbed supports multiple tasks for omics data including dimensionality reduction, tumour type classification, multi-omics integration, demographic and clinical feature reconstruction, and survival prediction. The framework outperformed other methods on all three types of downstream tasks and achieved better performance with the multi-task strategy compared to training them individually. OmiEmbed is a powerful and unified framework that can be widely adapted to various applications of high-dimensional omics data and has great potential to facilitate more accurate and personalised clinical decision making.
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http://dx.doi.org/10.3390/cancers13123047DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235477PMC
June 2021

Strain-Relief Patterns and Kagome Lattice in Self-Assembled C Thin Films Grown on Cd(0001).

Int J Mol Sci 2021 Jun 26;22(13). Epub 2021 Jun 26.

School of Physical Science and Technology, Southwest University, Chongqing 400715, China.

We report an ultra-high vacuum low-temperature scanning tunneling microscopy (STM) study of the C monolayer grown on Cd(0001). Individual C molecules adsorbed on Cd(0001) may exhibit a bright or dim contrast in STM images. When deposited at low temperatures close to 100 K, C thin films present a curved structure to release strain due to dominant molecule-substrate interactions. Moreover, edge dislocation appears when two different wavy structures encounter each other, which has seldomly been observed in molecular self-assembly. When growth temperature rose, we found two forms of symmetric kagome lattice superstructures, 2 × 2 and 4 × 4, at room temperature (RT) and 310 K, respectively. The results provide new insight into the growth behavior of C films.
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http://dx.doi.org/10.3390/ijms22136880DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268109PMC
June 2021

Deep Learning with Quantitative Features of Magnetic Resonance Images to Predict Biochemical Recurrence of Radical Prostatectomy: A Multi-Center Study.

Cancers (Basel) 2021 Jun 21;13(12). Epub 2021 Jun 21.

Department of Urology, Peking University Third Hospital, Peking University, Beijing 100191, China.

Biochemical recurrence (BCR) occurs in up to 27% of patients after radical prostatectomy (RP) and often compromises oncologic survival. To determine whether imaging signatures on clinical prostate magnetic resonance imaging (MRI) could noninvasively characterize biochemical recurrence and optimize treatment. We retrospectively enrolled 485 patients underwent RP from 2010 to 2017 in three institutions. Quantitative and interpretable features were extracted from T2 delineated tumors. Deep learning-based survival analysis was then applied to develop the deep-radiomic signature (DRS-BCR). The model's performance was further evaluated, in comparison with conventional clinical models. The model achieved C-index of 0.802 in both primary and validating cohorts, outweighed the CAPRA-S score (0.677), NCCN model (0.586) and Gleason grade group systems (0.583). With application analysis, DRS-BCR model can significantly reduce false-positive predictions, so that nearly one-third of patients could benefit from the model by avoiding overtreatments. The deep learning-based survival analysis assisted quantitative image features from MRI performed well in prediction for BCR and has significant potential in optimizing systemic neoadjuvant or adjuvant therapies for prostate cancer patients.
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http://dx.doi.org/10.3390/cancers13123098DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234539PMC
June 2021

Impact of differential ureteral stent diameters on clinical outcomes after ureteroscopy intracorporeal lithotripsy: A systematic review and meta-analysis.

Int J Urol 2021 Jun 29. Epub 2021 Jun 29.

Department of Urology, Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China.

In this meta-analysis we assessed whether the diameter of ureteral stents (4.7-5-Fr, 6-Fr) has an impact on the rate of occurrence of urinary tract symptoms and complications after successful URS and intracorporeal lithotripsy. A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. A rigorous search for relevant studies published in MEDLINE, Embase, and the Cochrane Controlled Trials Register was conducted to find informative randomized controlled trials. The reference lists of relevant articles were also manually searched and reviewed. The protocol was prospectively registered at PROSPERO (CRD42020202164). All statistical evaluations were performed using RevMan software version 5.3.0. Seven articles comprising 547 patients were included in the meta-analysis. After placement of ureteral stents with different diameters for approximately 1 week, we found that ureteral stents with smaller diameters (4.7-5-Fr) were associated with significant improvements in the main domain scores on the Ureteral Stent Symptom Questionnaire, such as urinary symptoms (mean difference -4.47, 95% confidence interval -5.87 to -3.08; P < 0.00001) and body pain (mean difference -2.48, 95% confidence interval -4.37 to -0.59; P = 0.01), but poor outcomes in stent migration compared to ureteral stents with a 6-Fr diameter (odds ratio 3.00, 95% confidence interval 1.06-8.51; P = 0.04). However, there were no significant differences in Ureteral Stent Symptom Questionnaire scores with regard to work performance (mean difference -0.56, 95% confidence interval -2.52 to 1.40; P = 0.58), general health (mean difference -2.29, 95% confidence interval -4.95 to 0.37; P = 0.09), additional problems (mean difference -0.43, 95% confidence interval -1.02 to 0.15; P = 0.15), and complications such as fever (odds ratio 0.75, 95% confidence interval 0.24-2.39; P = 0.63). Ureteral stents with a diameter of 4.7-5-Fr have better outcomes than those with a diameter of 6-Fr, based on the Ureteral Stent Symptom Questionnaire pain and urinary tract symptoms scores. However, they are more prone to migration compared to those with a larger diameter.
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http://dx.doi.org/10.1111/iju.14631DOI Listing
June 2021

Spatioselective Growth on Homogenous Semiconductor Substrates by Surface State Modulation.

Nano Lett 2021 Jun 27. Epub 2021 Jun 27.

Key Laboratory of Semiconductor Materials Science, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

Nanofabrication schemes usually suffer challenges in direct growth on complex nanostructured substrates. We provide a new technology that allows for the convenient, selective growth of complex nanostructures directly on three-dimensional (3D) homogeneous semiconductor substrates. The nature of the selectivity is derived from surface states modulated electrochemical deposition. Metals, metal oxides, and compound semiconductor structures can be prepared with high fidelity over a wide scale range from tens of nanometers to hundreds of microns. The utility of the process for photoelectrochemical applications is demonstrated by selectively decorating the sidewalls and tips of silicon microwires with cuprous oxide and cobalt oxides catalysts, respectively. Our findings indicate a new selective fabrication concept applied for homogeneous 3D semiconductor substrates, which is of high promise in community of photoelectronics, photoelectrochemistry, photonics, microelectronics, etc.
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http://dx.doi.org/10.1021/acs.nanolett.1c00689DOI Listing
June 2021

Metal-Free Photosynthesis of Alkylated Benzimidazo[2,1-]isoquinoline-6(5)-ones and Indolo[2,1-]isoquinolin-6(5)-ones in PEG-200.

J Org Chem 2021 Jul 23;86(13):9055-9066. Epub 2021 Jun 23.

Green Catalysis Center, College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.

A visible-light-induced decarboxylation reaction was developed for the synthesis of alkylated benzimidazo[2,1-]isoquinoline-6(5)-ones and indolo[2,1-]isoquinolin-6(5)-ones under metal-free conditions. Impressively, metal catalysts and traditionally volatile organic solvents could be effectively avoided.
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http://dx.doi.org/10.1021/acs.joc.1c01022DOI Listing
July 2021

Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study.

EBioMedicine 2021 Jun 19;69:103442. Epub 2021 Jun 19.

Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing 100191, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing 100191, China. Electronic address:

Background: Accurate predictions of distant metastasis (DM) in locally advanced rectal cancer (LARC) patients receiving neoadjuvant chemoradiotherapy (nCRT) are helpful in developing appropriate treatment plans. This study aimed to perform DM prediction through deep learning radiomics.

Methods: We retrospectively sampled 235 patients receiving nCRT with the minimum 36 months' postoperative follow-up from three hospitals. Through transfer learning, a deep learning radiomic signature (DLRS) based on multiparametric magnetic resonance imaging (MRI) was constructed. A nomogram was established integrating deep MRI information and clinicopathologic factors for better prediction. Harrell's concordance index (C-index) and time-dependent receiver operating characteristic (ROC) were used as performance metrics. Furthermore, the risk of DM in patients with different response to nCRT was evaluated with the nomogram.

Findings: DLRS performed well in DM prediction, with a C-index of 0·747 and an area under curve (AUC) at three years of 0·894 in the validation cohort. The performance of nomogram was better, with a C-index of 0·775. In addition, the nomogram could stratify patients with different responses to nCRT into high- and low-risk groups of DM (P < 0·05).

Interpretation: MRI-based deep learning radiomics had potential in predicting the DM of LARC patients receiving nCRT and could help evaluate the risk of DM in patients who have different responses to nCRT.

Funding: The funding bodies that contributed to this study are listed in the Acknowledgements section.
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http://dx.doi.org/10.1016/j.ebiom.2021.103442DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237293PMC
June 2021

Amplitude Mode in Quantum Magnets via Dimensional Crossover.

Phys Rev Lett 2021 Jun;126(22):227201

Department of Physics and HKU-UCAS Joint Institute of Theoretical and Computational Physics, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.

We investigate the amplitude (Higgs) mode associated with longitudinal fluctuations of the order parameter at the continuous spontaneous symmetry breaking phase transition. In quantum magnets, due to the fast decay of the amplitude mode into low-energy Goldstone excitations, direct observation of this mode represents a challenging task. By focusing on a quasi-one-dimensional geometry, we circumvent the difficulty and investigate the amplitude mode in a system of weakly coupled spin chains with the help of quantum Monte Carlo simulations, stochastic analytic continuation, and a chain-mean field approach combined with a mapping to the field-theoretic sine-Gordon model. The amplitude mode is observed to emerge in the longitudinal spin susceptibility in the presence of a weak symmetry-breaking staggered field. A conventional measure of the amplitude mode in higher dimensions, the singlet bond mode, is found to appear at a lower than the amplitude mode frequency. We identify these two excitations with the second (first) breather of the sine-Gordon theory, correspondingly. In contrast to higher-dimensional systems, the amplitude and bond order fluctuations are found to carry significant spectral weight in the quasi-1D limit.
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http://dx.doi.org/10.1103/PhysRevLett.126.227201DOI Listing
June 2021

YAP1 is a Prognostic Biomarker and Correlated with Immune Cell Infiltration in Pancreatic Cancer.

Front Mol Biosci 2021 2;8:625731. Epub 2021 Jun 2.

Department of Oncology, Liuzhou People's Hospital, Liuzhou, China.

Yes-associated protein-1 (YAP1) is an important effector of the Hippo pathway and has crosstalk with other cancer signaling pathways. It induces an immunosuppressive tumor microenvironment by activating pathways in several cellular components. However, the mechanisms by which it drives immune infiltration in pancreatic cancer remain poorly understood. We analyzed the expression of YAP1 as well as its prognostic value and correlations with immune infiltrates in various cancers, with a focus on pancreatic cancer. In particular, using the Oncomine database and Gene Expression Profiling Interactive Analysis (GEPIA) database, we found that YAP1 is differentially expressed between tumor tissues and control tissues in a number of cancers and in particular, is elevated in pancreatic cancer. Using the Kaplan-Meier plotter, GEPIA, and Long-term Outcome and Gene Expression Profiling database of pan-cancers (LOGpc), we further established the prognostic value of YAP1. We found that YAP1 expression was significantly related to outcomes in multiple types of cancer based on data from The Cancer Genome Atlas, particularly in pancreatic cancer. Correlations between YAP1 and immune cell infiltration and immune cell marker expression were examined using Tumor Immune Estimation Resource and GEPIA. High expression levels of YAP1 were significantly associated with a variety of immune markers and immune cell subsets in pancreatic cancer. These results suggest that YAP1 is correlated with patient outcomes and tumor immune cell infiltration in multiple cancer types and is a valuable prognostic biomarker in pancreatic cancer.
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http://dx.doi.org/10.3389/fmolb.2021.625731DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207136PMC
June 2021

N6-Methyladenosine RNA Modification in Inflammation: Roles, Mechanisms, and Applications.

Front Cell Dev Biol 2021 4;9:670711. Epub 2021 Jun 4.

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

N6-methyladenosine (m6A) is the most prevalent internal mRNA modification. m6A can be installed by the methyltransferase complex and removed by demethylases, which are involved in regulating post-transcriptional expression of target genes. RNA methylation is linked to various inflammatory states, including autoimmunity, infection, metabolic disease, cancer, neurodegenerative diseases, heart diseases, and bone diseases. However, systematic knowledge of the relationship between m6A modification and inflammation in human diseases remains unclear. In this review, we will discuss the association between m6A modification and inflammatory response in diseases, especially the role, mechanisms, and potential clinical application of m6A as a biomarker and therapeutic target for inflammatory diseases.
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http://dx.doi.org/10.3389/fcell.2021.670711DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213350PMC
June 2021

Expression status and prognostic value of the perilipin family of genes in breast cancer.

Am J Transl Res 2021 15;13(5):4450-4463. Epub 2021 May 15.

Department of Oncology, Liuzhou People's Hospital Liuzhou 545001, Guangxi Zhuang Autonomous Region, China.

Background: The Perilipin (PLIN) family of genes were previously shown to be involved in the formation and degradation of Lipid Droplets (LDs). In addition, they may play important roles in the development and progression of breast cancer. However, the prognostic value of PLIN family members in breast cancer patients remains unclear.

Methods: Mutations and copy number alterations of PLIN family genes in breast cancer were examined using the cBioportal for Cancer Genomics. In addition, the expression patterns of PLIN family genes were explored using the UCSC Xena online tool. Finally, the Kaplan-Meier Plotter was used to investigate the prognostic value of PLIN family genes in breast cancer.

Results: The findings revealed a low frequency of genetic alterations and amplification was the most frequent change in the PLIN family genes. Additionally, there was an increase in the expression of Perilipin 3 (PLIN3) in breast cancer tissues compared to normal breast tissues. However, expression of the other genes in the PLIN family was significantly lower in breast cancer tissues compared to normal breast tissues. Moreover, there was an increase in the expression levels of Perilipin 1 (PLIN1), PLIN3, Perilipin 4 (PLIN4) and Perilipin 5 (PLIN5) in the luminal A and luminal B subgroups. On the other hand, the expression of Perilipin 2 (PLIN2) was elevated in the human epidermal growth factor receptor 2 (HER2) positive and basal-like subgroups. Furthermore, Kaplan-Meier Plotter analysis demonstrated that high expression of PLIN1 might predict a longer Overall Survival (OS) in patients with breast cancer while overexpression of PLIN2 indicated poor OS of breast cancer patients.

Conclusion: The findings from this study indicated that genes in the PLIN family were aberrantly expressed in breast cancer and may serve as novel therapeutic targets as well as prognostic biomarkers for the disease.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205812PMC
May 2021

Monitoring Metabolites Using an NAD(P)H-sensitive Polymer Dot and a Metabolite-Specific Enzyme.

Angew Chem Int Ed Engl 2021 Jun 19. Epub 2021 Jun 19.

Department of Chemistry and Bioengineering, University of Washington, Seattle, WA, 98195, USA.

We introduce an NAD(P)H-sensitive polymer dot (Pdot) biosensor for point-of-care monitoring of metabolites. The Pdot is combined with a metabolite-specific NAD(P)H-dependent enzyme that catalyzes the oxidation of the metabolite, generating NAD(P)H. Upon UV illumination, the NAD(P)H quenches the fluorescence emission of Pdot at 627 nm via electron transfer, and also fluoresces at 458 nm, resulting in a shift from red to blue emission at higher NAD(P)H concentrations. Metabolite concentration is quantified ratiometrically-based on the ratio of blue-to-red channel emission intensities, with a digital camera-with high sensitivity and specificity. We demonstrate phenylalanine biosensing in human plasma for a phenylketonuria screening test, quantifying several other disease-related metabolites (lactate, glucose, glutamate, and β-hydroxybutyrate), and a paper-based assay with smartphore imaging for point-of-care use.
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http://dx.doi.org/10.1002/anie.202106156DOI Listing
June 2021

Atomically Dispersed Fe-N Modified with Precisely Located S for Highly Efficient Oxygen Reduction.

Nanomicro Lett 2020 May 26;12(1):116. Epub 2020 May 26.

State Key Laboratory of Chemical Resource Engineering, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, People's Republic of China.

Immobilizing metal atoms by multiple nitrogen atoms has triggered exceptional catalytic activity toward many critical electrochemical reactions due to their merits of highly unsaturated coordination and strong metal-substrate interaction. Herein, atomically dispersed Fe-NC material with precise sulfur modification to Fe periphery (termed as Fe-NSC) was synthesized, X-ray absorption near edge structure analysis confirmed the central Fe atom being stabilized in a specific configuration of Fe(N)(N-C-S). By enabling precisely localized S doping, the electronic structure of Fe-N moiety could be mediated, leading to the beneficial adjustment of absorption/desorption properties of reactant/intermediate on Fe center. Density functional theory simulation suggested that more negative charge density would be localized over Fe-N moiety after S doping, allowing weakened binding capability to *OH intermediates and faster charge transfer from Fe center to O species. Electrochemical measurements revealed that the Fe-NSC sample exhibited significantly enhanced oxygen reduction reaction performance compared to the S-free Fe-NC material (termed as Fe-NC), showing an excellent onset potential of 1.09 V and half-wave potential of 0.92 V in 0.1 M KOH. Our work may enlighten relevant studies regarding to accessing improvement on the catalytic performance of atomically dispersed M-NC materials by managing precisely tuned local environments of M-N moiety.
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http://dx.doi.org/10.1007/s40820-020-00456-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770948PMC
May 2020

Jasmonate signaling restricts root soluble sugar accumulation and drives root-fungus symbiosis loss at flowering by antagonizing gibberellin biosynthesis.

Plant Sci 2021 Aug 19;309:110940. Epub 2021 May 19.

Jiangsu Key Laboratory for Microbes and Functional Genomics, Jiangsu Engineering and Technology Research Center for Industrialization of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China. Electronic address:

Jasmonate restricts accumulation of constitutive and fungus-induced root soluble sugars at flowering stage, and thus reduces root beneficial fungal colonization, but little is known about how these are achieved. To determine whether jasmonate-mediated depletion of soluble sugars is the result of direct phytohormonal cross-talk or indirect induced defensive secondary metabolism, we first profiled soluble sugar and tryptophan (Trp)-derived defensive secondary metabolites in the roots of wild-type and jasmonate signaling-impaired Arabidopsis thaliana at flowering upon a beneficial fungus Phomopsis liquidambaris inoculation. Next, jasmonate and gibberellin signaling were manipulated to determine the relationship between jasmonate and gibberellin, and to quantify the effects of these phytohormones on fungal colonization degree, soluble sugar accumulation, Trp-derived secondary metabolites production, and sugar source-sink transport and metabolism. Gibberellin complementation increased Ph. liquidambaris colonization and rescued jasmonate-dependent root soluble sugar depletion and phloem sugar transport and root invertase activity without influencing jasmonate-induced Trp-derived secondary metabolites production at flowering. Furthermore, jasmonate signaling antagonized gibberellin biosynthesis in Ph. liquidambaris-inoculated roots. Our results suggest a phytohormonal antagonism model that jasmonate signaling restricts root soluble sugar accumulation through antagonizing gibberellin biosynthesis rather than through promoting Trp-derived secondary metabolites production and thus drives beneficial fungal colonization decline at flowering.
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http://dx.doi.org/10.1016/j.plantsci.2021.110940DOI Listing
August 2021

Combination prostate cancer therapy: Prostate-specific membranes antigen targeted, pH-sensitive nanoparticles loaded with doxorubicin and tanshinone.

Drug Deliv 2021 Dec;28(1):1132-1140

Department of Pharmacy, Municipal Hospital of Zaozhuang, Zaozhuang, P. R. China.

Prostate cancer is the second most frequently diagnosed cancer in the men population. Combination anticancer therapy using doxorubicin (DOX) and another extract of traditional Chinese medicine is one nano-sized drug delivery system promising to generate synergistic anticancer effects, maximize the treatment effect, and overcome multi-drug resistance. The purpose of this study is to construct a drug delivery system for the co-delivery of DOX and tanshinones (TAN). Lipid nanoparticles loaded with DOX and TAN (N-DOX/TAN) were prepared by emulsification and solvent-diffusion method. PSMA targeted nanoparticles loaded with DOX and TAN (P-N-DOX/TAN) were synthesized by conjugating a PSMA targeted ligand to N-DOX/TAN. We evaluate the performance of this system and . P-N-DOX/TAN has a size of 139.7 ± 4.1 nm and a zeta potential of 11.2 ± 1.6 mV. The drug release of DOX and TAN from P-N-DOX/TAN was much faster than that of N-DOX/TAN. N-DOX/TAN presented more inhibition effect on tumor growth than N-DOX and N-TAN, which is consistent with the synergistic results and successfully highlighting the advantages of combing the DOX and TAN in one system. P-N-DOX/TAN achieved higher uptake by LNCaP cells (58.9 ± 1.9%), highest tumor tissue distribution, and the most significant tumor inhibition efficiency. The novel nanomedicine offers great promise for the dual drug delivery to prostate cancer cells, showing the potential of synergistic combination therapy for prostate cancer.
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http://dx.doi.org/10.1080/10717544.2021.1931559DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8205064PMC
December 2021

A higher percentage of leukemic blasts with vacuoles predicts unfavorable outcomes in patients with acute myeloid leukemia.

Leuk Res 2021 Jun 6;109:106638. Epub 2021 Jun 6.

Department of Hematology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Henan, People's Republic of China. Electronic address:

Cytoplasmic vacuoles, which are a morphological feature of dysplasia, can be observed under a microscope at initial diagnosis. Recently, this typical morphological feature has been found to be associated with impaired survival. To investigate the clinical significance of the grading of blasts with vacuoles in acute myeloid leukemia (AML), we retrospectively studied 152 patients newly diagnosed with non-M3 AML. The patients were categorized into three groups according to the percentage of blasts with vacuoles (>20 %, 11-20 %, 0-10 %). A high percentage of blasts with vacuoles (>20 %) was positively associated with the European Leukemia Net (2017-ELN) high-risk AML, a complex karyotype, TP53 and IDH1/2 mutations, and CD71 expression and negatively associated with the ELN low-risk category. Importantly, patients who had a higher percentage of blasts with vacuoles had a lower complete remission rate in response to first-cycle induction chemotherapy. The overall survival and event-free survival of patients who had a higher percentage of blasts with vacuoles were significantly shorter. Moreover, multivariate analysis showed that blast vacuolization was an independent high prognostic factor for AML. In conclusion, a higher percentage of leukemic blasts with vacuoles predicts worse outcomes in AML and may have potential as a prognostic marker.
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http://dx.doi.org/10.1016/j.leukres.2021.106638DOI Listing
June 2021

Relationship Between High-Sensitivity C-Reactive Protein and Long-Term Outcomes in Elderly Patients With 3-Vessel Disease.

Angiology 2021 Jun 10:33197211021195. Epub 2021 Jun 10.

34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.

The prognostic value of high-sensitivity C-reactive protein (hsCRP) in complex coronary artery disease has not been fully established. We aimed to determine the association between hsCRP and long-term outcomes in elderly patients with 3-vessel disease (TVD). From April 2004 to February 2011, 3069 patients aged ≥65 years with TVD were consecutively enrolled and received medical treatment alone, percutaneous coronary intervention, or coronary artery bypass grafting. The patients were divided into 2 groups according to their hsCRP levels: <3.00 mg/L (62.1%) and ≥3.00 mg/L (37.9%). The mean age was 71 ± 4 years. The high hsCRP group had more risk factors and more frequently received conservative treatment than the low hsCRP group. During a median follow-up period of 6.2 years, elevated hsCRP was significantly associated with increased all-cause death (19.5% vs 29.6%, < .001), cardiac death (9.4% vs 15.2%, = .001), and major adverse cardiovascular and cerebrovascular events (34.1% vs 42.5%, = .001). Multivariable Cox regression analyses revealed that hsCRP was an independent predictor for all of these events. Combining hsCRP with Synergy between PCI with TAXUS and Cardiac Surgery score II further improved the predictive power of the score. The relationship between hsCRP and mortality was relatively consistent across subgroups. Overall, hsCRP could prove useful for risk prediction in elderly patients.
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http://dx.doi.org/10.1177/00033197211021195DOI Listing
June 2021

Cellular and physiological circadian mechanisms drive diurnal cell proliferation and expansion of white adipose tissue.

Nat Commun 2021 06 9;12(1):3482. Epub 2021 Jun 9.

Institute of Molecular Medicine, McGovern Medical School at the University of Texas Health Science Center, Houston, TX, 77030, USA.

Hyperplastic expansion of white adipose tissue (WAT) relies in part on the proliferation of adipocyte precursor cells residing in the stromal vascular cell fraction (SVF) of WAT. This study reveals a circadian clock- and feeding-induced diurnal pattern of cell proliferation in the SVF of visceral and subcutaneous WAT in vivo, with higher proliferation of visceral adipocyte progenitor cells subsequent to feeding in lean mice. Fasting or loss of rhythmic feeding eliminates this diurnal proliferation, while high fat feeding or genetic disruption of the molecular circadian clock modifies the temporal expression of proliferation genes and impinges on diurnal SVF proliferation in eWAT. Surprisingly, high fat diet reversal, sufficient to reverse elevated SVF proliferation in eWAT, was insufficient in restoring diurnal patterns of SVF proliferation, suggesting that high fat diet induces a sustained disruption of the adipose circadian clock. In conclusion, the circadian clock and feeding simultaneously impart dynamic, regulatory control of adipocyte progenitor proliferation, which may be a critical determinant of adipose tissue expansion and health over time.
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http://dx.doi.org/10.1038/s41467-021-23770-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190103PMC
June 2021