Evidence map›Paper›PMID 38825779›Full record

ReviewGut microbes

Untapped potential of gut microbiome for hypertension management.

Kan Gao, Pu Xiu Wang, Xue Mei, Tao Yang, Kai Yu

Abstract readReview
In one paragraph

Review in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. International journal of environmental research and public health · 2024
    Article
  17. Review
  18. Review
  19. Review
  20. Review
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

5 authors.

Kan GaoDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Pu Xiu WangDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Xue MeiSchool of Pharmacy, Institute of Materia Medica, North Sichuan Medical College, Nanchang, Sichuan, China.
Tao YangDepartment of Physiology and Pharmacology, Center for Hypertension and Precision Medicine, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, USA.
Kai YuDepartment of General Practice, The First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

Role of gut commensal Coprococcus comes in angiotensin-converting enzyme inhibitor resistant hypertensionR21AG079357 · NIA · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI YANG, TAO · 2022 to 2023
$425k
American Heart Association-American Stroke Association 852969NIA NIH HHS R21 AG079357
6 · The paper itself

Abstract

The gut microbiota has been shown to be associated with a range of illnesses and disorders, including hypertension, which is recognized as the primary factor contributing to the development of serious cardiovascular diseases. In this review, we conducted a comprehensive analysis of the progression of the research domain pertaining to gut microbiota and hypertension. Our primary emphasis was on the interplay between gut microbiota and blood pressure that are mediated by host and gut microbiota-derived metabolites. Additionally, we elaborate the reciprocal communication between gut microbiota and antihypertensive drugs, and its influence on the blood pressure of the host. The field of computer science has seen rapid progress with its great potential in the application in biomedical sciences, we prompt an exploration of the use of microbiome databases and artificial intelligence in the realm of high blood pressure prediction and prevention. We propose the use of gut microbiota as potential biomarkers in the context of hypertension prevention and therapy.

Indexed as

Antihypertensive AgentsBlood PressureGastrointestinal MicrobiomeHypertensionAnimalsBacteriaHumansAntihypertensive Agentsantihypertensive medicationsGut microbiotahypertensionmachine learningmetabolite

Identifiers

PMID38825779
PMCPMC11152106

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.