Evidence map›Paper›PMID 32450738›Full record

ArticleHypertension (Dallas, Tex. : 1979)2020

Diurnal Timing Dependent Alterations in Gut Microbial Composition Are Synchronously Linked to Salt-Sensitive Hypertension and Renal Damage.

Saroj Chakraborty, Juthika Mandal, Xi Cheng, Sarah Galla, Anay Hindupur, Piu Saha, Beng San Yeoh, Blair Mell, Ji-Youn Yeo, Matam Vijay-Kumar and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Targeting Gut Microbiota to Treat Hypertension: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Food as Medicine for Hypertension: Microbiota as Mediators.Hypertension (Dallas, Tex. : 1979) · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Perspectives on the involvement of the gut microbiota in salt-sensitive hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
  16. Article
  17. Review
  18. Gut microbiota and neonatal acute kidney injury biomarkers.Pediatric nephrology (Berlin, Germany) · 2023
    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

12 authors at 1 institution in 1 country.

Saroj Chakraborty *From the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Juthika Mandal *From the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Xi Cheng *From the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Sarah GallaFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Anay HindupurFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Piu SahaFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Beng San YeohFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Blair MellFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Ji-Youn YeoFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Matam Vijay-KumarFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Tao YangFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
Bina JoeFrom the Microbiome Consortium, Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, Toledo, OH; and Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, OH (S.J., J.M., X.C., S.G., A.H., P.S., B.S.Y., B.M., J.-Y.Y., M.V-K., T.Y., B.J.).
University of Toledo · US

Funding

Genetic, Epigenetic and Dietary Salt effects on Microbiota and HypertensionR01HL143082 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI JOE, BINA · 2018 to 2021
$2.6M
Interplay between Dietary Fiber and Gut Microbiota in Hepatocellular CarcinomaR01CA219144 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI VIJAY-KUMAR, MATAM · 2017 to 2021
$1.6M
NCI NIH HHS R01 CA219144NHLBI NIH HHS R01 HL143082
6 · The paper itself

Abstract

Alterations of diurnal rhythms of blood pressure (BP) and reshaping of gut microbiota are both independently associated with hypertension. However, the relationships between biorhythms of BP and gut microbial composition are unknown. We hypothesized that diurnal timing-associated alterations of microbial compositions are synchronous with diurnal rhythmicity, dip in BP, and renal function. To test this hypothesis, Dahl salt-sensitive (S) rats on low- and high-salt diets were examined for time of day effects on gut microbiota, BP, and indicators of renal damage. Major shifts in night and day patterns of specific groups of microbiota were observed between the dark (active) and light (rest) phases, which correlated with diurnal rhythmicity of BP. The diurnal abundance of Firmicutes, Bacteroidetes, and Actinobacteria were independently associated with BP. Discrete bacterial taxa were observed to correlate independently or interactively with one or more of the following 3 factors: (1) BP rhythm, (2) dietary salt, and (3) dip in BP. Phylogenetic Investigation of Communities revealed diurnal timing effects on microbial pathways, characterized by upregulated biosynthetic processes during the active phase of host, and upregulated degradation pathways of metabolites in the resting phase. Additional metagenomics functional pathways with rhythm variations were noted for aromatic amino acid metabolism and taurine metabolism. These diurnal timing dependent changes in microbiota, their functional pathways, and BP dip were associated with concerted effects of the levels of renal lipocalin 2 and kidney injury molecule-1 expression. These data provide evidence for a firm and concerted diurnal timing effects of BP, renal damage, and select microbial communities.

Indexed as

3-Hydroxybutyric AcidAnimalsBase SequenceBlood PressureCircadian RhythmDiet, Sodium-RestrictedEnergy MetabolismFecesGastrointestinal MicrobiomeGenes, BacterialHypertensionKidneyMaleRatsRats, Inbred DahlRNA, Bacterial3-Hydroxybutyric AcidRNA, BacterialRNA, Ribosomal, 16SSodium Chloride, Dietaryblood pressurecardiovascular diseasecircadian rhythmfirmicutesmicrobiota

Identifiers

PMID32450738
PMCPMC7289684
OpenAlexW3029402235

What OpenQuestion holds

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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.