Gut microbiome predicts personalized responses to dietary fiber in prediabetes: a randomized, open-label trial
Delei Song, Guangli Feng, Yuhang Ma, Yu Shi, Chunfang Qian, Chaoxun Wang, Jixiong Xu, Yue Li, Xuejiao Wang, Nengguang Fan, Weiping Dong, Xiaofeng Li, Jian Fan, Liping Chu, Feng Gao, Shasha He, Jiao Wang, Suijun Wang, Huimin Zhou, Qing Gu, Hua Wang, Bo Feng, Hao Zhang, Xueli Zhang, Li Li, Enfang Fan, · 2025
Read Gut microbiome predicts personalized responses to dietary fiber in prediabetes: a randomized, open-label trial by Delei Song, Guangli Feng, Yuhang Ma, Yu Shi, Chunfang Qian, Chaoxun Wang, Jixiong Xu, Yue Li, Xuejiao Wang, Nengguang Fan, Weiping Dong, Xiaofeng Li, Jian Fan, Liping Chu, Feng Gao, Shasha He, Jiao Wang, Suijun Wang, Huimin Zhou, Qing Gu, Hua Wang, Bo Feng, Hao Zhang, Xueli Zhang, Li Li, Enfang Fan, (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12749054.txt.
Description
Delei Song and co-authors test whether gut microbes predict who benefits from dietary fiber in prediabetes in a 2025 trial. Eight hundred two adults with prediabetes were assigned to usual care or a fiber program for six months. On average, blood sugar control did not differ between the groups, which hid a more varied story.
A later analysis grouped patients into four clusters by age, weight, and metabolic measures. Fiber improved sugar control in two clusters but not the others, matching shifts in their gut microbes. A machine learning model turned microbe data into a decision score that flagged likely responders. The authors say fiber is not one-size-fits-all, and microbe-guided advice could target it to those who gain.
Catalog record
| CREATOR | Delei Song, Guangli Feng, Yuhang Ma, Yu Shi, Chunfang Qian, Chaoxun Wang, Jixiong Xu, Yue Li, Xuejiao Wang, Nengguang Fan, Weiping Dong, Xiaofeng Li, Jian Fan, Liping Chu, Feng Gao, Shasha He, Jiao Wang, Suijun Wang, Huimin Zhou, Qing Gu, Hua Wang, Bo Feng, Hao Zhang, Xueli Zhang, Li Li, Enfang Fan, |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |