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5 citation(s) found for "Zhang, Yun".

Activation of FAK/Rac1/Cdc42‐GTPase signaling ameliorates impaired microglial migration response to Aβ 42 in triggering receptor expressed on myeloid cells 2 loss‐of‐function murine models
Rong, Zhouyi , Cheng, Baoying, Zhong, Li , Jia, Lin , Li, Yanfang , Shue, Francis , Wang, Na , Cheng, Yiyun , Huang, Xiaohua , Liu, Chia‐Chen , Fryer, John Denis , Wang, Xin , Zhang, Yun‐wu , Zheng, Honghua , Liu, Chia-Chen , Shue, Francis , Ye, Xiaowen , Li, Xin , Wang, Na

Mayo Clinic

The FASEB Journal | July 29, 2020 | Volume: 34 | Issue: 8 | Pages: 10984-10997

10.1096/fj.202000550rr | PMID 32613609 Get It

Abstract Mutation of Triggering receptor expressed on myeloid cells 2 (TREM2) impairs the response of microglia to amyloid‐β (Aβ) pathology in Alzheimer's disease (AD), although the mechanism governing TREM2‐regulated microglia recruitment to Aβ plaques remains unresolved. Here, we confirm that TREM2 mutation attenuates microglial migration. Then, using Trem2 −/− mice and an R47H variant mouse model for AD generated for this study, we show that TREM2 deficiency or the AD‐associated R47H mutation results in inhibition of FAK and Rac1/Cdc42‐GTPase signaling critical for cell migration. Intriguingly, treatment with CN04, a Rac1/Cdc42‐GTPase activator, partially enhances microglial migration in response to oligomeric Aβ 42 in Trem2 −/− or R47H microglia both in vitro and in vivo. Our study shows that the dysfunction of microglial migration in the AD‐associated TREM2 R47H variant is caused by FAK/Rac1/Cdc42 signaling disruption, and that activation of this signaling ameliorates impaired microglial migration response to Aβ 42 , suggesting a therapeutic target for R47H‐bearing patients with high risk of AD.
Broad‐Spectrum Profiling of Drug Safety via Learning Complex Network
Liu, Ke , Ding, Ruo‐Fan, Han, Xu , Qin, Yangmei , He, Qiushun , Du, Fei , Yao, Lixia , You, Pan , Xiang, Yanping , Ji, Zhi‐Liang , Yao, Li-Xia, Ding, Ruofan , Xu, Han, Du, Fei, Zhang, Yun

Mayo Clinic

Clinical Pharmacology & Therapeutics | December 23, 2019 | Volume: 107 | Issue: 6 | Pages: 1373-1382

10.1002/cpt.1750 | PMID 31868917 Get It

Drug safety is a severe clinical pharmacology and toxicology problem that has caused immense medical and social burdens every year. Regretfully, a reproducible method to assess drug safety systematically and quantitatively is still missing. In this study, we developed an advanced machine learning model for de novo drug safety assessment by solving the multilayer drug‐gene‐adverse drug reaction (ADR) interaction network. For the first time, the drug safety was assessed in a broad landscape of 1,156 distinct ADRs. We also designed a parameter ToxicityScore to quantify the overall drug safety. Moreover, we determined association strength for every 3,807,631 gene‐ADR interactions, which clues mechanistic exploration of ADRs. For convenience, we deployed the model as a web service ADRAlert‐gene at http://www.bio-add.org/ADRAlert/. In summary, this study offers insights into prioritizing safe drug therapy. It helps reduce the attrition rate of new drug discovery by providing a reliable ADR profile in the early preclinical stage.
A model predicting short-term mortality in patients with advanced liver cirrhosis and concomitant infection
Chaiteerakij, Roongruedee , Kwon, Jung Hyun , Cha, Stephen, Ding, Xi Wei, Ha, Fu Shuang, Nie, Cai, Giama, Nasra H., Roberts, Lewis R. , Han, Tao , Jang, Jeong Won , Roberts, Lewis R , Li, Ying , Chaiteerakij, Roongruedee , Lee, Hae Lim , Thongprayoon, Charat , Ha, Fushuang , Nie, Cai Yun, Zhang, Qian Yun , Yang, Zhen

Mayo Clinic

Medicine | October 10, 2018 | Volume: 97 | Issue: 41 | Pages: e12758

10.1097/md.0000000000012758 | PMID 30313084 Get It

Abstract Infection is a common cause of death in patients with advanced cirrhosis. We aimed to develop a predictive model in Child–Turcotte–Pugh (CTP) class C cirrhotics hospitalized with infection for optimizing treatment and improving outcomes. Clinical information was retrospectively abstracted from 244 patients at Tianjin Third Central Hospital, China (cohort 1). Factors associated with mortality were determined using logistic regression. The model for predicting 90-day mortality was then constructed by decision tree analysis. The model was further validated in 91 patients at Mayo Clinic, Rochester, MN (cohort 2) and 82 patients at Seoul St. Mary's Hospital, Korea (cohort 3). The predictive performance of the model was compared with that of the CTP, model for end-stage liver disease (MELD), MELD-Na, Chronic Liver Failure–Sequential Organ Failure Assessment, and the North American consortium for the Study of End-stage Liver Disease (NACSELD) models. The 3-month mortality was 58%, 58%, and 54% in cohort 1, 2, and 3, respectively. In cohort 1, respiratory failure, renal failure, international normalized ratio, total bilirubin, and neutrophil percentage were determinants of 3-month mortality, with odds ratios of 16.6, 3.3, 2.0, 1.1, and 1.03, respectively (P < .05). These parameters were incorporated into the decision tree model, yielding area under receiver operating characteristic (AUROC) of 0.804. The model had excellent reproducibility in the U.S. (AUROC 0.808) and Korea cohort (AUROC 0.809). The proposed model has the highest AUROC and best Youden index of 0.488 and greatest overall correctness of 75%, compared with other models evaluated. The proposed model reliably predicts survival of advanced cirrhotics with infection in both Asian and U.S. populations.
Adipose tissue DNA methylome changes in development of new-onset diabetes after kidney transplantation
Baheti, Saurabh , Singh, Prachi , Zhang, Yun , Evans, Jared M., Jensen, Michael D. , Kocher, Jean‐Pierre , Sun, Zhifu , Chakkera, Harini A. , Evans, Jared, Sun, Zhifu , Somers, Virend K. , Singh, Prachi , Chakkera, Harini A

Mayo Clinic

Epigenomics | October 2, 2017 | Volume: 9 | Issue: 11 | Pages: 1423-1435

10.2217/epi-2017-0050 | PMID 28967791 Get It

Soluble TREM2 induces inflammatory responses and enhances microglial survival
Zhong, Li , Chen, Xiao‐Fen , Liao, Chunyan , Huang, Ruizhi, Wang, Daxin , Wu, Linbei, Jia, Lin , Zheng, Honghua , Painter, Meghan M. , Atagi, Yuka, Liu, Chia‐Chen , Zhang, Yun‐wu , Fryer, John Denis , Xu, Huaxi , Bu, Guojun , Painter, Meghan , Atagi, Yuka , Liu, Chia-Chen , Fryer, John D., Wang, Tingting , Wang, Zhe , Wang, Zongqi , Li, Xinxiu , Bu, Guojun

Mayo Clinic

Journal of Experimental Medicine | February 16, 2017 | Volume: 214 | Issue: 3 | Pages: 597-607

10.1084/jem.20160844 | PMID 28209725 Get It

Triggering receptor expressed on myeloid cells 2 (TREM2) is an innate immune receptor expressed in microglia in the brain. A soluble form of TREM2 (sTREM2) derived from proteolytic cleavage of the cell surface receptor is increased in the preclinical stages of AD and positively correlates with the amounts of total and phosphorylated tau in the cerebrospinal fluid. However, the physiological and pathological functions of sTREM2 remain unknown. Here, we show that sTREM2 promotes microglial survival in a PI3K/Akt-dependent manner and stimulates the production of inflammatory cytokines depending on NF-κB. Variants of sTREM2 carrying AD risk-associated mutations were less potent in both suppressing apoptosis and triggering inflammatory responses. Importantly, sTREM2 delivered to the hippocampi of both wild-type and Trem2-knockout mice elevated the expression of inflammatory cytokines and induced morphological changes of microglia. Collectively, these data indicate that sTREM2 triggers microglial activation inducing inflammatory responses and promoting survival. This study has implications for the pathogenesis of AD and provides insights into targeting sTREM2 pathway for AD therapy.