Evidence map›Paper›PMID 40890809›Full record

ArticleJournal of translational medicine2025

Integrated fecal macrogenomic and metabolomic analyses reveal celiac disease flora and metabolic profiles associated with Chinese populations.

Shenglong Xue, Tian Shi, Jinjin Xie, Weidong Liu, Shanxia Yao, Na Li, Huan Liu, Wenjie Kong, Feng Gao

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shenglong XueCollege of Life Science and Technology, Xinjiang University, Urumqi, China.
Tian ShiDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Jinjin XieXinjiang Medical University, Urumqi, China.
Weidong LiuDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Shanxia YaoCollege of Life Science and Technology, Xinjiang University, Urumqi, China.
Na LiXinjiang Medical University, Urumqi, China.
Huan LiuDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Wenjie KongDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Feng GaoDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China. xjgf@sina.com.ORCID 0000-0002-3320-5702

Funding

National Natural Science Foundation of China 82260116National Natural Science Foundation of China 82460117Natural Science Foundation of Xinjiang 2022D01C831
6 · The paper itself

Abstract

BACKGROUND AND

aimsGenes and gluten intake are necessary but not sufficient to cause celiac disease (CeD), and altered intestinal flora is an additional risk factor for the development of CeD. The present study was conducted to investigate the intestinal flora and metabolic characteristics of CeD among the Chinese population, with the use of CeD patients from Xinjiang, China.

methodsMacrogenomic sequencing was performed to analyze the composition and differences of the intestinal flora of 40 CeD patients and 40 healthy subjects. Non-targeted metabolomics analysis was carried out using LC-MS metabolomics technology in 30 CeD patients and 30 control subjects. A model for CeD diagnosis was constructed based on differential flora and metabolites. Blood was collected from all subjects for HLA typing assay.

resultsCeD-associated alterations were identified in the gut microbiome and metabolome. 15 differential bacterial strains (AUC = 0.85) and 8 differential metabolites (AUC = 0.9799) constructed a diagnostic panel that was effective in differentiating CeD patients from healthy subjects. Compared with non-CeD patients carrying HLA-DQ

conclusionOur study revealed specific alterations in the gut microbiome and metabolome of Chinese CeD patients through a multi-omics integration strategy. We found that CeD individuals carrying CeD risk genes may possess a unique intestinal flora composition, and this intestinal flora may, to some extent, explain the pathogenesis of CeD beyond the contributions of genes and gluten intake.

Indexed as

Celiac DiseaseFecesMetabolomeMetabolomicsAdolescentAdultCase-Control StudiesChinaEast Asian PeopleFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedYoung AdultCeliac diseaseGut microbiotaHLA-DQ2MetaboliteMetagenomic

Identifiers

PMID40890809
PMCPMC12400607

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.