Evidence map›Paper›PMID 38518247›Full record

ArticleCardiovascular research2024

Influence of angiotensin II on the gut microbiome: modest effects in comparison to experimental factors.

Rikeish R Muralitharan, Michael E Nakai, Matthew Snelson, Tenghao Zheng, Evany Dinakis, Liang Xie, Hamdi Jama, Madeleine Paterson, Waled Shihata, Flavia Wassef and 5 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Article
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  10. Hypertension disrupts the vascular clock in both sexes.American journal of physiology. Heart and circulatory physiology · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 3 countries.

Rikeish R MuralitharanHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.ORCID 0000-0002-7577-2123
Michael E NakaiHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.
Matthew SnelsonHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.ORCID 0000-0003-4829-9550
Tenghao ZhengHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.ORCID 0000-0003-1587-7481
Evany DinakisHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.
Liang XieHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.
Hamdi JamaHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.
Madeleine PatersonHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.
Waled ShihataHeart Failure Research Group, Baker Heart and Diabetes Institute, 75 Commercial Road, 3004 Melbourne, Australia.
Flavia WassefCentre for Cardiovascular Biology and Disease Research (CCBDR), La Trobe Institute of Medical Science (LIMS), Bundoora, Victoria, Australia.
Antony VinhCentre for Cardiovascular Biology and Disease Research (CCBDR), La Trobe Institute of Medical Science (LIMS), Bundoora, Victoria, Australia.
Grant R DrummondCentre for Cardiovascular Biology and Disease Research (CCBDR), La Trobe Institute of Medical Science (LIMS), Bundoora, Victoria, Australia.ORCID 0000-0001-8556-9738
David M KayeHeart Failure Research Group, Baker Heart and Diabetes Institute, 75 Commercial Road, 3004 Melbourne, Australia.
Charles R MackayInfection and Immunity Program, Monash Biodiscovery Institute, Monash University, Melbourne, Australia.
Francine Z MarquesHypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, 18 Innovation Walk, Clayton, 3800 Melbourne, Australia.ORCID 0000-0003-4920-9991
Monash University · AUBaker Heart and Diabetes Institute · AULa Trobe University · AUMinistry of Health · MYQilu University of Technology · CN

Funding

Australia Project Grant GNT1159721Faculty of ScienceMonash Graduate ScholarshipMonash UniversityNational Health & Medical Research CouncilNHMRC GTN2008017NHMRC Emerging Leader Fellowship GNT2017382Senior Medical Research FellowshipSylvia and Charles Viertel Charitable FoundationThe Baker Heart & Diabetes InstituteVictorian Government's Operational Infrastructure Support ProgramWellcome Trust 105663Wellcome Trust 106698
6 · The paper itself

Abstract

aimsAnimal models are regularly used to test the role of the gut microbiome in hypertension. Small-scale pre-clinical studies have investigated changes to the gut microbiome in the angiotensin II hypertensive model. However, the gut microbiome is influenced by internal and external experimental factors, which are not regularly considered in the study design. Once these factors are accounted for, it is unclear if microbiome signatures are reproduceable. We aimed to determine the influence of angiotensin II treatment on the gut microbiome using a large and diverse cohort of mice and to quantify the magnitude by which other factors contribute to microbiome variations. METHODS AND

resultsWe conducted a retrospective study to establish a diverse mouse cohort resembling large human studies. We sequenced the V4 region of the 16S rRNA gene from 538 samples across the gastrointestinal tract of 303 male and female C57BL/6J mice randomized into sham or angiotensin II treatment from different genotypes, diets, animal facilities, and age groups. Analysing over 17 million sequencing reads, we observed that angiotensin II treatment influenced α-diversity (P = 0.0137) and β-diversity (i.e. composition of the microbiome, P < 0.001). Bacterial abundance analysis revealed patterns consistent with a reduction in short-chain fatty acid producers, microbial metabolites that lower blood pressure. Furthermore, animal facility, genotype, diet, age, sex, intestinal sampling site, and sequencing batch had significant effects on both α- and β-diversity (all P < 0.001). Sampling site (6.8%) and diet (6%) had the largest impact on the microbiome, while angiotensin II and sex had the smallest effect (each 0.4%).

conclusionOur large-scale data confirmed findings from small-scale studies that angiotensin II impacted the gut microbiome. However, this effect was modest relative to most of the other factors studied. Accounting for these factors in future pre-clinical hypertensive studies will increase the likelihood that microbiome findings are replicable and translatable.

Indexed as

Angiotensin IIBacteriaDisease Models, AnimalGastrointestinal MicrobiomeAnimalsDysbiosisFemaleHypertensionIntestinesMaleMice, Inbred C57BLRetrospective StudiesRibotypingRNA, Ribosomal, 16SAngiotensin IIRNA, Ribosomal, 16SAnimal modelsHypertensionMicrobiomeMicrobiota

Identifiers

PMID38518247
PMCPMC11368123
OpenAlexW4393064961

What OpenQuestion holds

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LicenceCC BY
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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.