Evidence map›Paper›PMID 42020446›Full record

ArticleNature communications2026

Gut microbiome features associated with Bifidobacterium colonization predict personalized probiotic persistence patterns.

Sourav Goswami, Alisha Ansari, Chetan Sharaf, Paul W O'Toole, Fergus Shanahan, Vineet Ahuja, Tarini Shankar Ghosh

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. A probioticGut microbes · 2026
    Article
  2. 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

7 authors.

Sourav Goswami *Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India.ORCID http://orcid.org/0009-0000-9987-6376
Alisha Ansari *Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India.
Chetan SharafIndraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India.
Paul W O'TooleSchools of Medicine and Microbiology, and APC Microbiome Ireland, University College Cork, Cork, Ireland.ORCID http://orcid.org/0000-0001-5377-0824
Fergus ShanahanSchools of Medicine and Microbiology, and APC Microbiome Ireland, University College Cork, Cork, Ireland.ORCID http://orcid.org/0000-0003-0467-0936
Vineet AhujaDepartment of Gastroenterology, All India Institute of Medical Sciences, New Delhi, India.ORCID http://orcid.org/0000-0002-5474-9709
Tarini Shankar GhoshIndraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India. tarini.ghosh@iiitd.ac.in.ORCID http://orcid.org/0000-0001-9570-0365

Funding

Department of Biotechnology, Ministry of Science and Technology (DBT) BT/RLF/Re-entry/55/2021Department of Science and Technology, Ministry of Science and Technology (DST) DST/INSPIRE/Fellowship/2023/IF230228
6 · The paper itself

Abstract

Bifidobacteria are key health-associated members of the human gut microbiome and are widely used as probiotics, but their colonization success varies substantially between individuals, partly due to baseline microbiome composition. We analyzed 51,244 gut microbiomes from 149 cohorts (45 countries) to identify non-Bifidobacterial taxa associated with the Bifidobacterial features. We observed several consistent and age-/life-style-specific association patterns of different non-Bifidobacterial taxa with the different Bifidobacteria. Multiple Bifidobacteria showed positive associations with butyrate-producing Firmicutes and Collinsella; negative associations involved pathobiont-Firmicutes and specific Bacteroidota taxa. B. adolescentis and B. breve showed the strongest positive and negative associations, respectively, with health-associated adult gut microbiome members. We quantified these relationships as Association-Scores, stratified by age/life-style/sequencing-strategy/disease, which were significantly reproducible after adjusting for multiple microbiome-linked, host life-style/clinical covariates, and predictable using species-specific genomic functions. We used these Association-Scores to derive microbiome-level Receptive-Scores that quantify how permissive a baseline microbiome is to increases or persistence of a given Bifidobacterium. In an external dataset of eight Bifidobacterium interventions (n = 1633 gut microbiomes), Receptive-Scores combined with baseline abundance of the administered Bifidobacteria significantly predicted post-treatment persistence/increase in 69.23% of trial-probiotic pairs. Together, this work identifies microbiome features governing Bifidobacterial colonization and provides tools to predict personalized probiotic responses.

Indexed as

BifidobacteriumGastrointestinal MicrobiomeProbioticsAdultAgedFecesFemaleHumansMaleMiddle Aged

Identifiers

PMID42020446
PMCPMC13319194

What OpenQuestion holds

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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.