Yu Zhou

Zhejiang Chinese Medical University

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Xuetao Cao

Chinese Academy of Medical Sciences & Peking Union Medical College

Taoyong Chen

Second Military Medical University

Mingjin Yang

Ningbo University

Songqing Tang

Hunan University

Xinyang Hu

Second Affiliated Hospital of Zhejiang University

Rongrong Wu

Fuzhou University

Marianna Meo

Cancer Registry of Norway

Hong Yu

Hunan Provincial Maternal and Child Health Hospital

Polina Goichberg

Brigham and Women's Hospital

Lihan Wang

Carnegie Mellon University

Cooperative Institutions

Zhejiang University

Chinese Academy of Medical Sciences & Peking Union Medical College

Second Affiliated Hospital of Zhejiang University

Harvard University

Second Military Medical University

Chinese Academy of Sciences

Fudan University

Brigham and Women's Hospital

Shanghai Jiao Tong University

Peking University

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Additional file 2: of Epidemiology of Clostridium difficile infection in hospitalized adults and the first isolation of C. difficile PCR ribotype 027 in central China

Figshare (2019)

Yu Zhou Liyan Mao Jing Yu Qun Lin Ying Luo

Raw data of MIC. (XLSX 256 kb)

C difficile

Isolation

10.6084/m9.figshare.7818632

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Neutrophil sensing of cytoplasmic, pathogenic DNA in a cGAS–STING-independent manner

Cellular and Molecular Immunology (2015)

Yu Zhou Taoyong Chen Xuetao Cao

Sting

10.1038/cmi2015.34

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Citations (2)

Publisher Correction: K33-linked polyubiquitination of Zap70 by Nrdp1 controls CD8+ T cell activation

Nature Immunology (2020)

Mingjin Yang Taoyong Chen Xuelian Li Yu Zhou Songqing Tang

ZAP70

10.1038/s41590-020-0600-1

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Citations (1)

Research Progress on the Relationship between Parkinson's Disease and REM Sleep Behavior Disorder

Journal of Integrative Neuroscience (2024)

Yu Zhou Xiaoli Liu Bin Xu

An individual's quality of life is greatly affected by Parkinson's disease (PD), a prevalent neurological degenerative condition. Rapid eye movement (REM) sleep behavior disorder (RBD) is a prominent non-motor symptom commonly associated with PD. Previous studies have shown a close relationship between PD and RBD. In addition to being a prodromal symptom of PD, RBD has a major negative impact on the prognosis of PD patients. This intrinsic connection indicates that there is a bidirectional relationship between PD and RBD. This paper provides a comprehensive review of the pathological mechanism related to PD and RBD, including the α-synuclein pathological deposition, abnormal iron metabolism, neuroinflammation, glymphatic system dysfunction and dysbiosis of the gut microbiota. Increasing evidence has shown that RBD patients have the same pathogenic mechanisms that underlie PD, but relatively little research has been done on how RBD contributes to PD progression. Therefore, a more thorough investigation is warranted to characterise how RBD affects the course of PD, in order to prepare for future therapeutic trials.

Dysbiosis

Sleep

10.31083/j.jin2309166

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Supersensitivity to serotonin- and histamine-induced arterial contraction following ovariectomy

European Journal of Pharmacology (1998)

Lianmin Ma Yu Zhou Suhong Xiao Udho Thadani Casey P. Robinson

Contractility

10.1016/s0014-2999(98)00644-x

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Citations (16)

Cross-Hospital Sepsis Early Detection via Semi-Supervised Optimal Transport With Self-Paced Ensemble

IEEE Journal of Biomedical and Health Informatics (2023)

Ruiqing Ding Yu Zhou Xu Jie Yan Xie Qiqiang Liang

Leveraging machine learning techniques for Sepsis early detection and diagnosis has attracted increasing interest in recent years. However, most existing methods require a large amount of labeled training data, which may not be available for a target hospital that deploys a new Sepsis detection system. More seriously, as treated patients are diversified between hospitals, directly applying a model trained on other hospitals may not achieve good performance for the target hospital. To address this issue, we propose a novel semi-supervised transfer learning framework based on optimal transport theory and self-paced ensemble for Sepsis early detection, called SPSSOT, which can efficiently transfer knowledge from the source hospital (with rich labeled data) to the target hospital (with scarce labeled data). Specifically, SPSSOT incorporates a new optimal transport-based semi-supervised domain adaptation component that can effectively exploit all the unlabeled data in the target hospital. Moreover, self-paced ensemble is adapted in SPSSOT to alleviate the class imbalance issue during transfer learning. In a nutshell, SPSSOT is an end-to-end transfer learning method that automatically selects suitable samples from two domains (hospitals) respectively and aligns their feature spaces. Extensive experiments on two open clinical datasets, MIMIC-III and Challenge, demonstrate that SPSSOT outperforms state-of-the-art transfer learning methods by improving 1-3% of AUC.

Transfer of learning

Labeled data

Ensemble Learning

Domain Adaptation

Feature (linguistics)

10.1109/jbhi.2023.3253208

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Citations (7)

Early Prediction of the Carbapenem Resistance Gram-negative Bacteria Carriage in Intensive Care Unit using Machine-Learning

Research Square (Research Square) (2020)

Qiqiang Liang Qinyu Zhao Xin Xu Yu Zhou Man Huang

Abstract Background The prevention and control of carbapenem-resistance gram-negative bacteria (CR-GNB) is the difficulty and focus for clinicians in the intensive care unit (ICU). This study construct a CR-GNB carriage prediction model in order to predict the CR-GNB incidence in one week. Methods The database is comprised of nearly 10,000 patients. the model is constructed by the multivariate logistic regression model and three machine learning algorithms. Then we choose the optimal model and verify the accuracy by daily predicted and recorded the occurrence of CR-GNB of all patients admitted for 4 months. Results There are 1385 patients with positive CR-GNB cultures and 1535 negative patients in this study. Forty-five variables have statistical significant differences. We include the 17 variables in the multivariate logistic regression model and build three machine learning models for all variables. In terms of accuracy and the area under the receiver operating characteristic (AUROC) curve, the random forest is better than XGBoost and multivariate logistic regression model, and better than decision tree model (accuracy: 84% >82%>81%>72%), (AUROC: 0.9089 > 0.8947 ≈ 0.8987 > 0.7845). In the 4-month prospective study, 81 cases were predicted to be positive in CR-GNB culture within 7 days, 146 cases were predicted to be negative, 86 cases were positive, and 120 cases were negative, with an overall accuracy of 84% and AUROC of 91.98%. Conclusions Prediction models by machine learning can predict the occurrence of CR-GNB colonization or infection within a week period, and can real-time predict and guide medical staff to identify high-risk groups more accurately.

10.21203/rs.3.rs-60222/v1

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Small GTPase RBJ Mediates Nuclear Entrapment of MEK1/MEK2 in Tumor Progression

Cancer Cell (2014)

Taoyong Chen Mingjin Yang Yu Zhou Songqing Tang Chen Wang

Entrapment

Tumor progression

10.1016/j.ccr.2014.03.009

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Citations (36)

The transmembrane endoplasmic reticulum–associated E3 ubiquitin ligase TRIM13 restrains the pathogenic-DNA–triggered inflammatory response

Science Advances (2022)

Xuelian Li Yu Zhou Fang Qian Mingjin Yang Jiaying Huang

The endoplasmic reticulum (ER)–localized stimulator of interferon genes (STING) is the core adaptor for the pathogenic-DNA–triggered innate response. Aberrant activation of STING causes autoinflammatory and autoimmune diseases, raising the concern about how STING is finely tuned during innate response to pathogenic DNAs. Here, we report that the transmembrane domain (TM)–containing ER-localized E3 ubiquitin ligase TRIM13 (tripartite motif containing 13) is required for restraining inflammatory response to pathogenic DNAs. TRIM13 deficiency enhances pathogenic-DNA–triggered inflammatory cytokine production, inhibits DNA virus replication, and causes age-related autoinflammation. Mechanistically, TRIM13 interacts with STING via the TM and catalyzes Lys 6 -linked polyubiquitination of STING, leading to decelerated ER exit and accelerated ER-initiated degradation of STING. STING deficiency reverses the enhanced innate anti-DNA virus response in TRIM13 knockout mice. Our study delineates a potential strategy for controlling the homeostasis of STING by transmembrane ER-associated TRIM13 during the pathogenic-DNA–triggered inflammatory response.

Sting

10.1126/sciadv.abh0496

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Citations (28)

RasGRP3 limits Toll-like receptor-triggered inflammatory response in macrophages by activating Rap1 small GTPase

Nature Communications (2014)

Songqing Tang Taoyong Chen Yu Zhou Xuhui Zhu Mingjin Yang

Host immune cells can detect and destruct invading pathogens via pattern-recognition receptors. Small Rap GTPases act as conserved molecular switches coupling extracellular signals to various cellular responses, but their roles as regulators in Toll-like receptor (TLR) signalling have not been fully elucidated. Here we report that Ras guanine nucleotide-releasing protein 3 (RasGRP3), a guanine nucleotide-exchange factor activating Ras and Rap1, limits production of proinflammatory cytokines (especially IL-6) in macrophages by activating Rap1 on activation by low levels of TLR agonists. We demonstrate that RasGRP3, a dominant member of RasGRPs in macrophages, impairs TLR3/4/9-induced IL-6 production and relieves dextrane sulphate sodium-induced colitis and collagen-induced arthritis. In RasGRP3-deficient RAW264.7 cells obtained by CRISPR-Cas9 genome editing, TLR3/4/9-induced activation of Rap1 was inhibited while ERK1/2 activation was enhanced. Our study suggests that RasGRP3 limits inflammatory response by activating Rap1 on low-intensity pathogen infection, setting a threshold for preventing excessive inflammatory response.

Rap1

Proinflammatory cytokine

Small GTPase

TLR3

10.1038/ncomms5657

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Citations (49)