Evidence map›Paper›PMID 42120930›Full record

ArticleScientific reports2026

The gut microbiota and metabolomics in the pathogenesis of type 2 diabetes mellitus combined with coronary atherosclerotic heart disease.

Linjuan Huang, Xiaoxiao Zhang, Ying Wu, Hui Li, Min Li, Chen Shao, Qingqing Yang, Guoxi Jin, Xiaolei Hu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Linjuan HuangThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Xiaoxiao ZhangThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Ying WuThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Hui LiThe Department of Cardiovascular, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Min LiThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Chen ShaoThe Department of Endocrinology, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Qingqing YangThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Guoxi JinThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China.
Xiaolei HuThe Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, 233000, China. caesar80@163.com.

Funding

the Clinical Translation Project of Anhui Province Grant No.202204295107020049)the Major Natural Science and Technology Project of Bengbu Medical Uuniversity Grant No. 2020byfy004the Natural Science Foundation of Anhui Province Grant No. 2208085MH216The Scientific Research Program of Anhui Provincial Health Commission Grant No. AHWJ2023BAc10028
6 · The paper itself

Abstract

To investigate the characteristics of intestinal bacteria and their metabolites in healthy controls (CONs) compared with individuals with type 2 diabetes mellitus (T2DM) and individuals with type 2 diabetes mellitus combined with coronary atherosclerotic heart disease (T2DM-CAD). Thirty samples were collected from 10 healthy people, 10 T2DM patients, and 10 T2DM-CAD patients. We determined the gut bacterial composition via metagenomic sequencing analysis and analyzed the gut microbes and their metabolomic changes via metabolomics. The potential key gut microbes and metabolites were explored with random forest and receiver operating characteristic (ROC) curve analyses. Finally, Spearman correlation analysis and linear regression were used to identify the correlations between the gut bacteria and metabolites. Eight gut microorganisms with diagnostic significance were screened out, including Prevotella disiens, Bacteroides sp._AM25_34, Paraprevotella clara, Bacteroides sp._CAG_875, Sutterella wadsworthensis, Prevotella sp. 885, Ruminococcus sp. AM42_11 and Anaerobutyricum hallii. Meanwhile, eight characteristic metabolites were identified, including fructose, salicyluric acid, 12-ketoLCA, pyroglutamic acid, glutamic acid, suberic acid, gallic acid and adipic acid. Additionally, the correlations between the above differential gut microbiota and characteristic metabolites were clarified. Our study revealed that gut flora such as g-Bacteroides, Alistipes_putredinis_CAG_67, and Alistipes_putredinis may be key flora, and that fructose, gallic acid, sebacic acid, and 12-ketoLCA may be key metabolites involved in the pathology of T2DM and T2DM-CAD.

Indexed as

Coronary Artery DiseaseDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeMetabolomicsAgedCase-Control StudiesFemaleHumansMaleMetabolomeMiddle AgedClinical diagnosisGut-heart axisGut microbiota-metabolite interactionInsulin resistanceMetabolic biomarkers

Identifiers

PMID42120930
PMCPMC13358107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.