Xinhui Wang

Dr. Xinhui Wang

School of Medicine, Zhejiang University, Hangzhou, China
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Research
Verified
Journal Article
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Xinhui WangXinhui Wang
Xinhui Wang
XFXuexian Fang
Xuexian Fang
ZCZhaoxian Cai
Zhaoxian Cai
XWXiaotian Wu
Xiaotian Wu
XGXiaotong Gao
Xiaotong Gao
Fudi WangFudi Wang
Fudi Wang
The recent outbreak of COVID-19 has been rapidly spreading on a global scale. To date, there is no specific vaccine against the causative virus, SARS-CoV-2, nor is there an effective medicine for treating COVID-19, thus raising concerns with respect to the effect of risk factors such as clinical course and pathophysiological parameters on disease severity and outcome in patients with COVID-19. By extracting and analyzing all available published clinical data, we identified several major clinical characteristics associated with increased disease severity and mortality among patients with COVID-19. Specifically, preexisting chronic conditions such as hypertension, cardiovascular disease, chronic kidney disease, and diabetes are strongly associated with an increased risk of developing severe COVID-19; surprisingly, however, we found no correlation between chronic liver disease and increased disease severity. In addition, we found that both acute cardiac injury and acute kidney injury are highly correlated with an increased risk of COVID-19-related mortality. Given the high risk of comorbidity and the high mortality rate associated with tissue damage, organ function should be monitored closely in patients diagnosed with COVID-19, and this approach should be included when establishing new guidelines for managing these high-risk patients. Moreover, additional clinical data are needed in order to determine whether a supportive therapy can help mitigate the development of severe, potentially fatal complications, and further studies are needed to identify the pathophysiology and the mechanism underlying this novel coronavirus-associated infectious disease. Taken together, these findings provide new insights regarding clinical strategies for improving the management and outcome of patients with COVID-19.

1 July 2019 in The American Journal of Clinical Nutrition
Verified
Journal Article
Closed access
Xinhui WangXinhui Wang
Xinhui Wang
WWWenhui Wu
Wenhui Wu
WZWanru Zheng
Wanru Zheng
XFXuexian Fang
Xuexian Fang
LCLiyun Chen
Liyun Chen
Fudi WangFudi Wang
Fudi Wang
Although many studies have shown that low zinc status is associated with diabetes, the putative effects of zinc supplementation on glycemic control are inconclusive. The aim of this meta-analysis of randomized controlled trials was to assess the effects of zinc supplementation in preventing and managing diabetes. PubMed, Embase, and the Cochrane Library were searched for articles that were published through February 10, 2019 and contained estimates for the outcomes of interest. The pooled results were then analyzed with the use of a random-effects model. Thirty-two placebo-controlled interventions were extracted from 36 publications, involving a total of 1700 participants in 14 countries. Overall, compared with their respective control groups, the subjects in the zinc-supplementation group had a statistically significant reduction in fasting glucose [FG, weighted mean difference (WMD): -14.15 mg/dL; 95% CI: -17.36, -10.93 mg/dL], 2-h postprandial glucose (WMD: -36.85 mg/dL; 95% CI: -62.05, -11.65 mg/dL), fasting insulin (WMD: -1.82 mU/L; 95% CI: -3.10, -0.54 mU/L), homeostasis model assessment for insulin resistance (WMD: -0.73; 95% CI: -1.22, -0.24), glycated hemoglobin (WMD: -0.55%; 95% CI: -0.84, -0.27%), and high-sensitivity C-reactive protein (WMD: -1.31 mg/L; 95% CI: -2.05, -0.56 mg/L) concentrations. Moreover, subgroup analyses revealed that the effects of zinc supplementation on FG are significantly influenced by diabetic status and the formulation of the zinc supplement. Our analysis revealed that several key glycemic indicators are significantly reduced by zinc supplementation, particularly the FG in subjects with diabetes and in subjects who received an inorganic zinc supplement. Together, these findings support the notion that zinc supplementation may have clinical potential as an adjunct therapy for preventing or managing diabetes. This trial was registered at PROSPERO as CRD42018111838.

19 June 2021 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
Open access
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Xinhui WangXinhui Wang
Xinhui Wang
XFXuexian Fang
Xuexian Fang
WZWanru Zheng
Wanru Zheng
JZJiahui Zhou
Jiahui Zhou
ZSZijun Song
Zijun Song
Fudi WangFudi Wang
Fudi Wang
Context Iron overload is a known risk factor for type 2 diabetes (T2D); however, iron overload and iron deficiency have both been associated with metabolic disorders in observational studies. Objective Using mendelian randomization (MR), we assessed how genetically predicted systemic iron status affected T2D risk. Methods A 2-sample MR analysis was used to obtain a causal estimate. We selected genetic variants strongly associated (P < 5 × 10−8) with 4 biomarkers of systemic iron status from a study involving 48 972 individuals performed by the Genetics of Iron Status consortium and applied these biomarkers to the T2D case-control study (74 124 cases and 824 006 controls) performed by the Diabetes Genetics Replication and Meta-analysis consortium. The simple median, weighted median, MR-Egger, MR analysis using mixture-model, weighted allele scores, and MR based on a Bayesian model averaging approaches were used for the sensitivity analysis. Results Genetically instrumented serum iron (odds ratio [OR]: 1.07; 95% CI, 1.02-1.12), ferritin (OR: 1.19; 95% CI, 1.08-1.32), and transferrin saturation (OR: 1.06; 95% CI, 1.02-1.09) were positively associated with T2D. In contrast, genetically instrumented transferrin, a marker of reduced iron status, was inversely associated with T2D (OR: 0.91; 95% CI, 0.87-0.96). Conclusion Genetic evidence supports a causal link between increased systemic iron status and increased T2D risk. Further studies involving various ethnic backgrounds based on individual-level data and studies regarding the underlying mechanism are warranted for reducing the risk of T2D.

1 January 2015 in Nutrition, Metabolism and Cardiovascular Diseases
Verified
Journal Article
Closed access
XFX. Fang
X. Fang
Peng AnPeng An
Peng An
HWH. Wang
H. Wang
Xinhui WangXinhui Wang
Xinhui Wang
XSX. Shen
X. Shen
Fudi WangFudi Wang
Fudi Wang

27 November 2017 in Proceedings of the National Academy of Sciences
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HGHong Gao
Hong Gao
LZLu Zhao
Lu Zhao
HWHao Wang
Hao Wang
EXEnjun Xie
Enjun Xie
Xinhui WangXinhui Wang
Xinhui Wang
Fudi WangFudi Wang
Fudi Wang
Zn plays a key role in controlling macrophage function during an inflammatory event. Cellular Zn homeostasis is regulated by two families of metal transporters, the SLC39A family of importers and the SLC30A family of exporters; however, the precise role of these transporters in maintaining macrophage function is poorly understood. Using macrophage-specific Slc39a10-knockout (Slc39a10fl/fl;LysM-Cre+) mice, we found that Slc39a10 plays an essential role in macrophage survival by mediating Zn homeostasis in response to LPS stimulation. Compared with Slc39a10fl/fl mice, Slc39a10fl/fl;LysM-Cre+ mice had significantly lower mortality following LPS stimulation as well as reduced liver damage and lower levels of circulating inflammatory cytokines. Moreover, reduced intracellular Zn concentration in Slc39a10fl/fl;LysM-Cre+ macrophages led to the stabilization of p53, which increased apoptosis upon LPS stimulation. Concomitant knockout of p53 largely rescued the phenotype of Slc39a10fl/fl;LysM-Cre+ mice. Finally, the phenotype in Slc39a10fl/fl;LysM-Cre+ mice was mimicked in wild-type mice using the Zn chelator TPEN and was reversed with Zn supplementation. Taken together, these results suggest that Slc39a10 plays a role in promoting the survival of macrophages through a Zn/p53-dependent axis in response to inflammatory stimuli. Significance Zn is essential for maintaining the integrity of the immune system, and Zn homeostasis is tightly regulated by two families of ion transporters, SLC39A and SLC30A. Worldwide, an estimated two billion people have Zn deficiency, a condition that can impair immune function and increase susceptibility to a variety of infections. Despite their important roles in health and disease, the molecular mechanisms that underlie Zn transport and Zn homeostasis in macrophages are poorly understood. Here, we report that SLC39A10 plays an essential role in Zn homeostasis in macrophages, regulating the immune response following inflammatory stimuli. Specifically, we identified a role for SLC39A10 in regulating the survival of macrophages via a Zn/p53-dependent axis during the inflammatory response.

24 April 2020 in Advanced Science
Verified
Journal Article
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JLJin Li
Jin Li
XPXiaohan Pan
Xiaohan Pan
GPGuihua Pan
Guihua Pan
ZSZijun Song
Zijun Song
YHYao He
Yao He
LXLiwei Xie
Liwei Xie
Iron homeostasis is essential for maintaining cellular function in a wide range of cell types. However, whether iron affects the thermogenic properties of adipocytes is currently unknown. Using integrative analyses of multi‐omics data, transferrin receptor 1 (Tfr1) is identified as a candidate for regulating thermogenesis in beige adipocytes. Furthermore, it is shown that mice lacking Tfr1 specifically in adipocytes have impaired thermogenesis, increased insulin resistance, and low‐grade inflammation accompanied by iron deficiency and mitochondrial dysfunction. Mechanistically, the cold treatment in beige adipocytes selectively stabilizes hypoxia‐inducible factor 1‐alpha (HIF1α), upregulating the Tfr1 gene, and thermogenic adipocyte‐specific Hif1α deletion reduces thermogenic gene expression in beige fat without altering core body temperature. Notably, Tfr1 deficiency in interscapular brown adipose tissue (iBAT) leads to the transdifferentiation of brown preadipocytes into white adipocytes and muscle cells; in contrast, long‐term exposure to a low‐iron diet fails to phenocopy the transdifferentiation effect found in Tfr1‐deficient mice. Moreover, mice lacking transmembrane serine protease 6 (Tmprss6) develop iron deficiency in both inguinal white adipose tissue (iWAT) and iBAT, and have impaired cold‐induced beige adipocyte formation and brown fat thermogenesis. Taken together, these findings indicate that Tfr1 plays an essential role in thermogenic adipocytes via both iron‐dependent and iron‐independent mechanisms.