Xin Wang

Dr. Xin Wang

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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Verified
Journal Article
Open access
PDF file
KYKai Yan
Kai Yan
XSXin Sun
Xin Sun
CFChenxi Fan
Chenxi Fan
XWXin Wang
Xin Wang
HYHongsong Yu
Hongsong Yu
Autoimmune thyroid diseases (AITDs) are among the most prevalent organ-specific autoimmune disorders, with thyroid hormones playing a pivotal role in the gastrointestinal system’s structure and function. Emerging evidence suggests a link between AITDs and the gut microbiome, which is a diverse community of organisms that are essential for digestion, absorption, intestinal homeostasis, and immune defense. Recent studies using 16S rRNA and metagenomic sequencing of fecal samples from AITD patients have revealed a significant correlation between a gut microbiota imbalance and the severity of AITDs. Progress in animal models of autoimmune diseases has shown that intervention in the gut microbiota can significantly alter the disease severity. The gut microbiota influences T cell subgroup differentiation and modulates the pathological immune response to AITDs through mechanisms involving short-chain fatty acids (SCFAs), lipopolysaccharides (LPSs), and mucosal immunity. Conversely, thyroid hormones also influence gut function and microbiota composition. Thus, there is a bidirectional relationship between the thyroid and the gut ecosystem. This review explores the pathogenic mechanisms of the gut microbiota and its metabolites in AITDs, characterizes the gut microbiota in Graves’ disease (GD) and Hashimoto’s thyroiditis (HT), and examines the interactions between the gut microbiota, thyroid hormones, T cell differentiation, and trace elements. The review aims to enhance understanding of the gut microbiota–thyroid axis and proposes novel approaches to mitigate AITD severity through gut microbiota modulation.

28 May 2024 in International Immunopharmacology
Verified
Journal Article
Closed access
WZWenxin Zhang
Wenxin Zhang
RDRong Ding
Rong Ding
YHYuelin Hu
Yuelin Hu
WWWenwen Wei
Wenwen Wei
DTDan Tian
Dan Tian
XWXin Wang
Xin Wang

28 July 2016 in Journal of Human Hypertension
Verified
Journal Article
Closed access
PDF file
LLL Liu
L Liu
YGY Gu
Y Gu
CLC Li
C Li
QZQ Zhang
Q Zhang
GMG Meng
G Meng
Kaijun NiuKaijun Niu
Kaijun Niu

11 August 2025 in Nutrients
Verified
Journal Article
Open access
PDF file
KYKai Yan
Kai Yan
XSXin Sun
Xin Sun
XWXin Wang
Xin Wang
JZJing Zheng
Jing Zheng
HYHongsong Yu
Hongsong Yu
Diabetes mellitus (DM) is a complex metabolic disease characterized by significantly elevated blood glucose levels as a result of dysfunctional or impaired pancreatic β-cells, leading to insulin deficiency. This condition can result in severe complications, including cardiovascular diseases, kidney failure, vision impairment, and nerve damage. Currently available anti-diabetic drugs do not fully prevent the progression of these complications. Moreover, they often have significant side effects. The gut microbiota plays a crucial role in influencing diet, energy metabolism, and blood glucose levels. Research shows a strong link between microbiota dysbiosis and DM, as well as the severity of its complications. Commensal bacteria can help manage blood glucose levels, reduce inflammation, regulate metabolism, and enhance the gut barrier. Conversely, opportunistic pathogens can worsen insulin resistance, promote metabolic disorders, disrupt gut integrity, and affect appetite and weight. This article describes the characteristics of gut microbiota in various types of DM and explores the role of the “gut microbiota–metabolite–signaling pathway” axis in DM and its complications. In addition, it highlights the therapeutic potential of traditional Chinese medicine and dietary interventions through modulation of the gut microbiota and metabolites. The aim is to provide comprehensive evidence supporting the integration of TCM dietary therapy, targeted dietary strategies, and specific probiotics as alternative and complementary therapies for DM and its complications.

1 August 2021 in Gene
Verified
Journal Article
Closed access
FZFangyu Zhou
Fangyu Zhou
ZLZhongzhi Liang
Zhongzhi Liang
XWXin Wang
Xin Wang
GTGuiqin Tan
Guiqin Tan
WWWenwen Wei
Wenwen Wei
HYHongsong Yu
Hongsong Yu

4 November 2015 in Journal of Diabetes
Verified
Journal Article
Open access
PDF file
JZJinping Zhang
Jinping Zhang
NWNa. Wang
Na. Wang
XXXiaoyan Xing
Xiaoyan Xing
ZYZhao-Jun Yang
Zhao-Jun Yang
XWXin Wang
Xin Wang
WYWen-Ying Yang
Wen-Ying Yang
The aim of the present study was to investigate whether the therapeutic efficacy of acarbose and metformin is correlated with baseline HbA1c levels in Chinese patients with newly diagnosed type 2 diabetes mellitus (T2DM). Data for 711 subjects were retrieved from the MARCH (Metformin and AcaRbose in Chinese as initial Hypoglycemic treatment) trial database and reviewed retrospectively. Patients were grouped according to baseline HbA1c levels (8%) and the results for these three groups were compared between acarbose and metformin treatments. Acarbose and metformin treatment significantly improved T2DM-associated parameters (weight, fasting plasma glucose [FPG], postprandial glucose [PPG], glucagon-like peptide-1 [GLP-1], HOMA-IR, and total cholesterol) across all HbA1c levels. Acarbose decreased PPG and HOMA-β significantly more than metformin, but only in subjects with lower baseline HbA1c (PPG in the <7% and 7%-8%, HOMA-β in the <7% groups; all P < 0.05). Acarbose decreased triglyceride (TG) levels, and the areas under the curve (AUC) for insulin and glucagon more than metformin at all HbA1c levels (P < 0.05). After 24 weeks treatment, metformin decreased FPG levels significantly more than acarbose for all baseline HbA1c groups (all P < 0.001). With the exception of FPG, PPG, and TG levels, differences between the two treatment groups observed at 24 weeks were not detected at 48 weeks. Acarbose decreased PPG and TG and spared the AUC for insulin more effectively in patients with low-to-moderate baseline HbA1c levels, whereas metformin induced greater reductions in FPG. These results may help guide selection of initial therapy based on baseline HbA1c.