Evidence map›Paper›PMID 35503026›Full record

ArticlePhysiological genomics2022

Beyond the gastrointestinal tract: oral and sex-specific skin microbiota are associated with hypertension in rats with genetic disparities.

Xue Mei, Blair Mell, Xi Cheng, Ji-Youn Yeo, Tao Yang, Nathaline Chiu, Bina Joe

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Revisiting sex as a biological variable in hypertension research.The Journal of clinical investigation · 2024
    Review
  5. The gut microbiome and hypertension.Nature reviews. Nephrology · 2023
    Review
  6. Article
  7. Review
  8. Highlighting recent impactful publications inPhysiological genomics · 2022
    Article
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

7 authors at 1 institution in 1 country.

Xue MeiDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.
Blair MellDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.
Xi ChengDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.ORCID 0000-0002-0838-5094
Ji-Youn YeoDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.
Tao YangDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.ORCID 0000-0002-4182-9793
Nathaline ChiuDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.
Bina JoeDepartment of Physiology and Pharmacology, Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio.ORCID 0000-0002-2385-7061
University of Toledo · US

Funding

HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL1430820
6 · The paper itself

Abstract

Current knowledge of the link between microbiota and hypertension is limited to the gut. Besides the gut, oral cavity and skin are other locations where sodium chloride (NaCl) is in direct contact with microbiota. Although oral nitrate-reducing bacteria generate nitric oxide, which leads to vasodilation and lowering of blood pressure (BP), the skin excretes sodium via sweat glands and is an important site for sodium and BP homeostasis. However, knowledge on the contributions of oral and skin microbiota to BP regulation, is limited. Therefore, the current study was conducted to compare the tripartite relationship between site, sex, and genetic effects on the composition of oral, skin, and gut microbiota impacting hypertension. Microbiota were profiled from the oral cavity, skin, and feces of both male and female hypertensive Dahl salt-sensitive (S) and congenic rats with genomic substitutions on rat chromosomes (RNO) 1, 5, 9, and 10, demonstrating disparate BP effects. Sex-specific differences in β-diversity were observed only in skin microbiota. The most abundant taxa of the oral and skin microbiota were Actinobacteria and Cyanobacteria, respectively. Oral Actinobacteria were inversely associated with BP. Although the abundance of oral Actinobacteria was upregulated by the BP locus on RNO10 in both sexes, depletion of skin Cyanobacteria decreased the protection from hypertension in the RNO5 female, but not male, congenic strain. In conclusion, to our knowledge this is the first study to identify specific microbiota in sites other than gut as contributors to BP regulation. Notably, both oral Actinobacteria and skin Cyanobacteria were beneficial for lowering BP.

Indexed as

HypertensionMicrobiotaAnimalsBacteriaBlood PressureFemaleGastrointestinal TractMaleRatsRats, Inbred DahlSodiumSodium ChlorideSodiumSodium Chlorideblood pressurecardiovasculardermalmicrobiomesalt-sensitive

Identifiers

PMID35503026
PMCPMC9208435
OpenAlexW4225327022

What OpenQuestion holds

Textmetadata
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Registered trials

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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.