Evidence map›Paper›PMID 36824355›Full record

ReviewFrontiers in endocrinology2023

The gut microbial metabolite trimethylamine N-oxide and cardiovascular diseases.

Jing Zhen, Zhou Zhou, Meng He, Hai-Xiang Han, En-Hui Lv, Peng-Bo Wen, Xin Liu, Yan-Ting Wang, Xun-Chao Cai, Jia-Qi Tian and 3 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 2 pooled it
28.9field-weighted citation impact, top 1% of its field
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

127 citing papers in PubMed, 2 syntheses or guidelines pooled it, 188 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Special Issue "Gut Microbiota in Disease Mechanisms and Therapy 3.0".International journal of molecular sciences · 2026
    Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

67 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 1 country.

Jing ZhenDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Zhou ZhouDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Meng HeDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Hai-Xiang HanDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
En-Hui LvDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Peng-Bo WenDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xin LiuDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yan-Ting WangDepartment of Biochemical Pharmacy, School of Pharmacy, Naval Medical University, Shanghai, China.
Xun-Chao CaiDepartment of Gastroenterology and Hepatology, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, China.
Jia-Qi TianDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Meng-Ying ZhangDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Lei XiaoSchool of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China.
Xing-Xing KangDepartment of Bioinformatics, School of Medical Informatics, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xuzhou Medical College · CNChina University of Mining and Technology · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morbidity and mortality of cardiovascular diseases (CVDs) are exceedingly high worldwide. Researchers have found that the occurrence and development of CVDs are closely related to intestinal microecology. Imbalances in intestinal microecology caused by changes in the composition of the intestinal microbiota will eventually alter intestinal metabolites, thus transforming the host physiological state from healthy mode to pathological mode. Trimethylamine N-oxide (TMAO) is produced from the metabolism of dietary choline and L-carnitine by intestinal microbiota, and many studies have shown that this important product inhibits cholesterol metabolism, induces platelet aggregation and thrombosis, and promotes atherosclerosis. TMAO is directly or indirectly involved in the pathogenesis of CVDs and is an important risk factor affecting the occurrence and even prognosis of CVDs. This review presents the biological and chemical characteristics of TMAO, and the process of TMAO produced by gut microbiota. In particular, the review focuses on summarizing how the increase of gut microbial metabolite TMAO affects CVDs including atherosclerosis, heart failure, hypertension, arrhythmia, coronary artery disease, and other CVD-related diseases. Understanding the mechanism of how increases in TMAO promotes CVDs will potentially facilitate the identification and development of targeted therapy for CVDs.

Indexed as

AtherosclerosisCardiovascular DiseasesGastrointestinal MicrobiomeCholineHumansMethylaminesCholineMethylaminestrimethyloxaminecardiovascular diseasegut microbiotametabolitetargeted therapytrimethylamine N-oxide

Identifiers

PMID36824355
PMCPMC9941174
OpenAlexW4319445013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.