Publications by authors named "W Xu"

18,733 Publications

The outer membrane protein Amuc_1100 of Akkermansia muciniphila alleviates the depression-like behavior of depressed mice induced by chronic stress.

Biochem Biophys Res Commun 2021 Jun 11;566:170-176. Epub 2021 Jun 11.

School of Life Sciences, Anhui University, Hefei, Anhui, 230601, China; Key Laboratory of Human Microenvironment and Precision Medicine of Anhui Higher Education Institutes, Anhui University, Hefei, Anhui, 230601, China. Electronic address:

Akkermansia muciniphila is a symbiotic intestinal bacterium with a high medicinal value. Amuc_1100 is the outer membrane protein of A. muciniphila and plays an important role in the interaction between A. muciniphila and its host. The objective of this study was to evaluate the antidepressant activity of Amuc_1100 in a chronic unpredictable mild stress (CUMS) model. Amuc_1100 intervention ameliorated CUMS-induced depression-like behavior and CUMS-induced down-regulation of serotonin (5-hydroxytryptamine, or simply, 5-HT) in the serum and colon of mice. Microbial analysis of mouse feces showed that Amuc_1100 could improve the gut microbiota dysregulation induced by CUMS. In addition, Amuc_1100 intervention could also improve the down-regulation of brain-derived neurotrophic factor (BDNF) and inflammation in the hippocampus induced by CUMS. These results suggest that Amuc_1100 has a good antidepressant effect, and the mechanism may be related to the improvement of gut microbiota, the up-regulation of the BDNF level, and the inhibition of the neuroinflammatory response.
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http://dx.doi.org/10.1016/j.bbrc.2021.06.018DOI Listing
June 2021

Event-Triggered Adaptive NN Tracking Control for MIMO Nonlinear Discrete-Time Systems.

IEEE Trans Neural Netw Learn Syst 2021 Jun 15;PP. Epub 2021 Jun 15.

This article concentrates on the design of a novel event-based adaptive neural network (NN) control algorithm for a class of multiple-input-multiple-output (MIMO) nonlinear discrete-time systems. A controller is designed through a novel recursive design procedure, under which the dependence on virtual controls is avoided and only system states are needed. The numbers of the event-triggered conditions and parameters updated online in each subsystem reduce to only one, which largely reduces the computation burden and simplifies the algorithm realization. In this case, radial basis function NNs (RBFNNs) are employed to approximate the control input. The semiglobal uniformly ultimate boundedness (SGUUB) of all the signals in the closed-loop system is guaranteed by the Lyapunov difference approach. The effectiveness of the proposed algorithm is validated by a simulation example.
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http://dx.doi.org/10.1109/TNNLS.2021.3084965DOI Listing
June 2021

HOXD Antisense Growth-Associated Long Noncoding RNA Promotes Triple-Negative Breast Cancer Progression by Activating Wnt Signaling Pathway.

J Breast Cancer 2021 Apr 28. Epub 2021 Apr 28.

Department of Breast Surgery, Zhengxing Hospital, Zhangzhou, China.

Purpose: Triple-negative breast cancer (TNBC) is the most lethal subtype of breast cancer owing to high heterogeneity, aggressive nature, and lack of treatment options, which has a substantial deleterious effect on patients' lives. HOXD antisense growth-associated long noncoding RNA (lncRNA) (HAGLR) plays tumor-promoting roles in many cancers. In this study, we aimed to explore the role of HAGLR in TNBC.

Methods: Quantitative real-time polymerase chain reaction assays were used to examine the expression of RNAs. Functional experiments were conducted to test the biological behavior of TNBC cells. Moreover, MS2-RNA immunoprecipitation, luciferase reporter, and RNA pull-down assays were conducted to verify the binding relationship between HAGLR, microRNA-143-5p (miR-143-5p), and serine- and arginine-rich splicing factor 1 (SRSF1).

Results: HAGLR was found to be highly expressed in TNBC tissues and cells, and inhibiting HAGLR suppressed cell proliferation, migration, and invasion and promoted cell apoptosis in TNBC. Meanwhile, miR-93-5p was shown to bind to HAGLR and SRSF1. In addition, SRSF1 plays an oncogenic role in TNBC. Importantly, HAGLR could activate the Wnt signaling pathway by sponging miR-93-5p to upregulate SRSF1; thus, accelerating TNBC progression.

Conclusion: HAGLR could promote the progression of TNBC through the miR-93-5p/SRSF1 axis to activate the Wnt signaling pathway.
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http://dx.doi.org/10.4048/jbc.2021.24.e24DOI Listing
April 2021

A Novel Prediction Model of COVID-19 Progression: A Retrospective Cohort Study.

Infect Dis Ther 2021 Jun 14. Epub 2021 Jun 14.

Department of Liver Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.

Introduction: Estimating the risk of disease progression is of utmost importance for planning appropriate setting of care and treatment for patients with coronavirus disease 2019 (COVID-19). This study aimed to develop and validate a novel prediction model of COVID-19 progression.

Methods: In total, 814 patients in the training set were included to develop a novel scoring system; and 420 patients in the validation set were included to validate the model.

Results: A prediction score, called ACCCDL, was developed on the basis of six risk factors associated with COVID-19 progression: age, comorbidity, CD4 T cell count, C-reactive protein (CRP), D-dimer, and lactate dehydrogenase (LDH). For predicting COVID-19 progression, the ACCCDL score yielded a significantly higher area under the receiver operating characteristic curve (AUROC) compared with the CALL score, CoLACD score, PH-COVID-19 score, neutrophil-lymphocyte ratio, and lymphocyte-monocyte ratio both in the training set (0.92, 0.84, 0.83, 0.83, 0.76, and 0.65, respectively) and in the validation set (0.97, 0.83, 0.83, 0.78, 0.74, and 0.60, respectively). Over 99% of patients with the ACCCDL score < 12 points will not progress to severe cases, and over 30% of patients with the ACCCDL score > 20 points will progress to severe cases.

Conclusion: The ACCCDL score could stratify patients with at risk of COVID-19 progression, and was useful in regulating the large flow of patients with COVID-19 between primary health care and tertiary centers.
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http://dx.doi.org/10.1007/s40121-021-00460-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202540PMC
June 2021

Expression of VEGF-A Signaling Pathway in Cartilage of ACLT-induced Osteoarthritis Mouse Model.

J Orthop Surg Res 2021 Jun 14;16(1):379. Epub 2021 Jun 14.

Laboratory for New Techniques of Restoration & Reconstruction of Orthopedics and Traumatology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Background: Anterior cruciate ligament transection surgery (ACLT)-induced OA model was often used to investigate the molecular mechanism of knee osteoarthritis (KOA). Researches have shown that vascular endothelial growth factor (VEGF) played an important role in OA. The present study aimed to investigate the pathological changes after ACLT surgery and reveal the expression characteristics of the VEGF-A/VEGFR2 signaling pathway in this model.

Methods: Moderate KOA model was established by ACLT, and 1, 2, 4, 8, and 12 weeks after surgery, hematoxylin-eosin (HE) and Safranin-O(S-O) staining were used to detect the pathological changes in mouse knee cartilage, and the matrix biomarkers A Disintegrin and Metalloproteinase with Thrombospondin Motifs 5(ADAMTS5), Collagen II (COL-II) were detected using immunohistochemistry (IHC), CD31 was detected by immunofluorescence (IF) to show the vascular invasion in cartilage, and proteins expression of VEGF-A pathway were detected by Western blot (WB). Meanwhile, the inflammatory biomarkers cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) in cartilage were detected by WB.

Results: ACLT surgery can lead to degeneration of cartilage in mice, and the characteristics of the lesion were time-dependent. The ADAMTS5-positive cells increased while COL-II decreased in OA cartilage with time, and new blood vessels labeled by CD31 can be seen from 1 week in OA cartilage, and increased in 8 and 12 weeks. The expression of VEGF-A, VEGFR2, COX-2, and iNOS were higher than control groups, which were basically consistent with the degree of osteoarthritis.

Conclusions: The degenerative degree of articular cartilage was time-dependent; angiogenesis and inflammation were important pathological changes of cartilage in KOA. The expression of the VEGF-A/VEGFR2 signaling pathway was basically correlated with the degree of KOA.
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http://dx.doi.org/10.1186/s13018-021-02528-wDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201729PMC
June 2021