Evidence map›Paper›PMID 40624247›Full record

ArticleCommunications medicine2025

The association between the gut microbiome and 24-h blood pressure measurements in the SCAPIS study.

Yi-Ting Lin, Sergi Sayols-Baixeras, Gabriel Baldanzi, Koen F Dekkers, Ulf Hammar, Diem Nguyen, Nynne Nielsen, Aron C Eklund, Georgios Varotsis, Jacob B Holm and 9 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

19 authors.

Yi-Ting LinMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-5833-0040
Sergi Sayols-BaixerasMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1181-6262
Gabriel BaldanziMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3962-3953
Koen F DekkersMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-4074-7235
Ulf HammarMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Diem NguyenMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-9680-5772
Nynne NielsenCmbio A/S, Copenhagen, Denmark.ORCID http://orcid.org/0009-0003-5603-3514
Aron C EklundCmbio A/S, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0861-1001
Georgios VarotsisMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-3320-2448
Jacob B HolmCmbio A/S, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1756-0875
H Bjørn NielsenCmbio A/S, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-2281-5713
Lars LindClinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Göran BergströmDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4289-5722
J Gustav SmithThe Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Gunnar EngströmDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.
Johan SundströmClinical Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-2247-8454
Marju Orho-MelanderDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID http://orcid.org/0000-0002-3578-2503
Tove FallMolecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. tove.fall@medsci.uu.se.ORCID http://orcid.org/0000-0003-2071-5866

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-STG-2018-801965, ERC-CoG-2014-649021, ERC-STG-2015-679242Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 2023-0687; 20200711 (M.O-M.); 20180343, 20210357; 20200173; 20190526Novo Nordisk Fonden (Novo Nordisk Foundation) NNF20OC0063886Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research) LUDC-IRC 15-0067Vetenskapsrådet (Swedish Research Council) 2019-01471; 2018-02784; 2018-02837; 2021-03291
6 · The paper itself

Abstract

backgroundThere is mounting evidence supporting the role of the microbiota in hypertension from experimental studies and population-based studies. We aimed to investigate the relationship between specific characteristics of the gut microbiome and 24-h ambulatory blood pressure measurements.

methodsThe association of gut microbial species and microbial functions, determined by shotgun metagenomic sequencing of fecal samples, with 24-h ambulatory blood pressure measurements in 3695 participants and office blood pressure was assessed in multivariable-adjusted models in 2770 participants without antihypertensive medication from the Swedish CArdioPulmonary bioImage Study.

resultsGut microbiome alpha diversity was negatively associated with diastolic blood pressure variability. Additionally, four microbial species were associated with at least one of the 24-h blood pressure traits. Streptococcus sp001556435 was associated with higher systolic blood pressure, Intestinimonas massiliensis and Dysosmobacter sp001916835 with lower systolic blood pressure, Dysosmobacter sp001916835 with lower diastolic blood pressure, and ER4 sp900317525 with lower systolic blood pressure variability. Moreover, office blood pressure data from a subsample without ambulatory blood pressure measurements replicated the association of Intestinimonas massiliensis with systolic blood pressure and Dysosmobacter sp001916835 with diastolic blood pressure. Species associated with 24-h blood pressure were linked to a similar pattern of metabolites.

conclusionsIn this large cross-sectional analysis, gut microbiome alpha diversity negatively associates with diastolic blood pressure variability, and four gut microbial species associate with 24-h blood pressure traits.

Identifiers

PMID40624247
PMCPMC12234806

What Socratic 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 Socratic graph.