Evidence map›Paper›PMID 33342240›Full record

ArticleHypertension (Dallas, Tex. : 1979)2021

Gut Microbiota and Host Plasma Metabolites in Association with Blood Pressure in Chinese Adults.

Yiqing Wang, Huijun Wang, Annie Green Howard, Matthew C B Tsilimigras, Christy L Avery, Katie A Meyer, Wei Sha, Shan Sun, Jiguo Zhang, Chang Su and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  17. Application of omics in hypertension and resistant hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Review
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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

14 authors at 3 institutions in 3 countries.

Yiqing WangFrom the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
Huijun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.).
Annie Green HowardDepartment of Biostatistics (A.G.H.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
Matthew C B TsilimigrasFrom the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
Christy L AveryDepartment of Epidemiology (M.C.B.T., C.L.A.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
Katie A MeyerFrom the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
Wei ShaDepartment of Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC (W.S.).
Shan SunDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.).
Jiguo ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.).
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.).
Zhihong WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.).
Anthony A FodorDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte (W.S., S.S., A.A.F.).
Bing Zhang *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing (H.W., J.Z., CS., Z.W., B.Z.).
Penny Gordon-Larsen *From the Department of Nutrition (Y.W., M.C.B.T., K.A.M., P.G.-L.), University of North Carolina at Chapel Hill (UNC-Chapel Hill).
University of North Carolina at Chapel Hill · USChinese Center For Disease Control and Prevention · CNUniversity of North Carolina at Charlotte · US

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
Monitoring Social Change: Dynamics Of Aging And Cognitive FunctionR01AG065357 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 2020 to 2024
$3.6M
Transition to a Western diet and cardiometabolic risk: biomarkers derived from the microbiomeR01DK104371 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GORDON-LARSEN, PENNY · 2015 to 2018
$2.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
A Novel Gut Microbial-Dependent Nutrient Metabolite and AtherosclerosisK01HL127159 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MEYER, KATIE A · 2015 to 2019
$787k
FIC NIH HHS D43 TW009077NCATS NIH HHS UL1 TR002489NHLBI NIH HHS K01 HL127159NHLBI NIH HHS T32 HL129982NIA NIH HHS R01 AG065357NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD030880NIDDK NIH HHS R01 DK104371
6 · The paper itself

Abstract

Animal studies have revealed gut microbial and metabolic pathways of blood pressure (BP) regulation, yet few epidemiological studies have collected microbiota and metabolomics data in the same individuals. In a population-based, Chinese cohort who did not report antihypertension medication use (30-69 years, 54% women), thus minimizing BP treatment effects, we examined multivariable-adjusted (eg, diet, physical activity, smoking, kidney function), cross-sectional associations between measures of gut microbiota (16S rRNA [ribosomal ribonucleic acid], N=1003), and plasma metabolome (liquid chromatography-mass spectrometry, N=434) with systolic (SBP, mean [SD]=126.0 [17.4] mm Hg) and diastolic BP (DBP [80.7 (10.7) mm Hg]). We found that the overall microbial community assessed by principal coordinate analysis varied by SBP and DBP (permutational multivariate ANOVA

Indexed as

AdultAgedBlood PressureCross-Sectional StudiesFemaleGastrointestinal MicrobiomeHumansHypertensionMaleMetabolomeMiddle Agedblood pressurelipidsmetabolomemicrobiotasphingomyelins

Identifiers

PMID33342240
PMCPMC7856046
OpenAlexW3117153419

What OpenQuestion holds

Textmetadata
LicenceTDM
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.