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Usage Information

Gut microbial metabolites alter IgA immunity in type 1 diabetes
Juan Huang, James A. Pearson, Jian Peng, Youjia Hu, Sha Sha, Yanpeng Xing, Gan Huang, Xia Li, Fang Hu, Zhiguo Xie, Yang Xiao, Shuoming Luo, Chen Chao, F. Susan Wong, Zhiguang Zhou, Li Wen
Juan Huang, James A. Pearson, Jian Peng, Youjia Hu, Sha Sha, Yanpeng Xing, Gan Huang, Xia Li, Fang Hu, Zhiguo Xie, Yang Xiao, Shuoming Luo, Chen Chao, F. Susan Wong, Zhiguang Zhou, Li Wen
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Research Article

Gut microbial metabolites alter IgA immunity in type 1 diabetes

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Abstract

The incidence of type 1 diabetes (T1D) has been increasing among children and adolescents, in which environmental factors, including gut microbiota, play an important role. However, the underlying mechanisms are yet to be determined. Here, we show that patients with newly diagnosed T1D displayed not only a distinct profile of gut microbiota associated with decreased short-chain fatty acids (SCFAs) production, but also an altered IgA-mediated immunity compared with healthy control subjects. Using germ-free NOD mice, we demonstrate that gut microbiota from patients with T1D promoted different IgA-mediated immune responses compared with healthy control gut microbiota. Treatment with the SCFA, acetate, reduced gut bacteria–induced IgA response accompanied by decreased severity of insulitis in NOD mice. We believe our study provides new insights into the functional effects of gut microbiota on inducing IgA immune response in T1D, suggesting that SCFAs might be potential therapeutic agents in T1D prevention and/or treatment.

Authors

Juan Huang, James A. Pearson, Jian Peng, Youjia Hu, Sha Sha, Yanpeng Xing, Gan Huang, Xia Li, Fang Hu, Zhiguo Xie, Yang Xiao, Shuoming Luo, Chen Chao, F. Susan Wong, Zhiguang Zhou, Li Wen

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 829 210
PDF 125 52
Figure 378 2
Table 39 0
Supplemental data 55 1
Citation downloads 112 0
Totals 1,538 265
Total Views 1,803
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

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