Evidence map›Paper›PMID 36925044›Full record

ArticleChest2023

OSA Is Associated With the Human Gut Microbiota Composition and Functional Potential in the Population-Based Swedish CardioPulmonary bioImage Study.

Gabriel Baldanzi, Sergi Sayols-Baixeras, Jenny Theorell-Haglöw, Koen F Dekkers, Ulf Hammar, Diem Nguyen, Yi-Ting Lin, Shafqat Ahmad, Jacob Bak Holm, Henrik Bjørn Nielsen and 15 more

Abstract read
In one paragraph

Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  13. Impact of Ambient Air Pollution on Obstructive Sleep Apnea Surgery: A Longitudinal Study.ORL; journal for oto-rhino-laryngology and its related specialties · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Gabriel BaldanziDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Sergi Sayols-BaixerasDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden; CIBER Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain.
Jenny Theorell-HaglöwDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Koen F DekkersDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Ulf HammarDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Diem NguyenDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Yi-Ting LinDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Division of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institute, Huddinge, Sweden; Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Taiwan.
Shafqat AhmadDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Preventive Medicine Division, Harvard Medical School, Brigham and Women's Hospital, Boston, MA.
Jacob Bak HolmClinical Microbiomics A/S, Copenhagen, Denmark.
Henrik Bjørn NielsenClinical Microbiomics A/S, Copenhagen, Denmark.
Louise BrunkwallDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Christian BenedictMolecular Neuropharmacology (Sleep Science Lab), Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Jonathan CedernaesDepartment of Medical Sciences, Transplantation and Regenerative Medicine, Uppsala University, Uppsala, Sweden; Department of Medical Cell Biology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Sanna KoskiniemiDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Mia PhillipsonDepartment of Medical Cell Biology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Lars LindDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
Johan SundströmDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.
Göran BergströmDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
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; Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden; Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden.
Marju Orho-MelanderDepartment of Clinical Sciences in Malmö, Lund University Diabetes Center, Lund University, Malmö, Sweden.
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institute, Huddinge, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden.
Beatrice KennedyDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Eva LindbergDepartment of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Tove FallDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. Electronic address: tove.fall@medsci.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOSA is a common sleep-breathing disorder linked to increased risk of cardiovascular disease. Intermittent upper airway obstruction and hypoxia, hallmarks of OSA, have been shown in animal models to induce substantial changes to the gut microbiota composition, and subsequent transplantation of fecal matter to other animals induced changes in BP and glucose metabolism. RESEARCH QUESTION: Does OSA in adults associate with the composition and functional potential of the human gut microbiota? STUDY DESIGN AND

methodsWe used respiratory polygraphy data from up to 3,570 individuals 50 to 64 years of age from the population-based Swedish Cardiopulmonary bioimage Study combined with deep shotgun metagenomics of fecal samples to identify cross-sectional associations between three OSA parameters covering apneas and hypopneas, cumulative sleep time in hypoxia, and number of oxygen desaturation events with gut microbiota composition. Data collection about potential confounders was based on questionnaires, onsite anthropometric measurements, plasma metabolomics, and linkage with the Swedish Prescribed Drug Register.

resultsWe found that all three OSA parameters were associated with lower diversity of species in the gut. Furthermore, in multivariable-adjusted analysis, the OSA-related hypoxia parameters were associated with the relative abundance of 128 gut bacterial species, including higher abundance of Blautia obeum and Collinsella aerofaciens. The latter species was also independently associated with increased systolic BP. Furthermore, the cumulative time in hypoxia during sleep was associated with the abundance of genes involved in nine gut microbiota metabolic pathways, including propionate production from lactate. Finally, we observed two heterogeneous sets of plasma metabolites with opposite association with species positively and negatively associated with hypoxia parameters, respectively.

interpretationOSA-related hypoxia, but not the number of apneas/hypopneas, is associated with specific gut microbiota species and functions. Our findings lay the foundation for future research on the gut microbiota-mediated health effects of OSA.

Indexed as

Gastrointestinal MicrobiomeSleep Apnea, ObstructiveAdultAnimalsCross-Sectional StudiesHumansHypoxiaSwedenepidemiologymicrobiotaOSA

Identifiers

PMID36925044
PMCPMC10410248

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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.