Evidence map›Paper›PMID 42438061›Full record

ArticleGut microbes2026

Towards standardized gut microbiota diagnostics: normobiosis beyond geographical borders.

Pranvera Hiseni, Kari Furu, Vivian Wang Pedersen, Lise Øverland, Graceline Tina Kirubakaran, Christina Casén

Abstract read
In one paragraph

Article in Gut microbes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Pranvera HiseniGenetic Analysis AS, Oslo, Norway.ORCID 0000-0003-1342-3814
Kari FuruGenetic Analysis AS, Oslo, Norway.
Vivian Wang PedersenGenetic Analysis AS, Oslo, Norway.
Lise ØverlandGenetic Analysis AS, Oslo, Norway.
Graceline Tina KirubakaranGenetic Analysis AS, Oslo, Norway.
Christina CasénGenetic Analysis AS, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Defining clinically meaningful reference states of the human gut microbiota remains a major barrier to the clinical translation of microbiome testing, largely due to variability across populations. We aimed at evaluating whether dysbiosis can be identified in a standardized, geography-independent manner, using a composite, system-level microbiome diagnostic framework. We performed a retrospective observational analysis of 831 adult stool samples collected from healthy individuals and patients with inflammatory bowel disease, irritable bowel syndrome, or other chronic inflammatory conditions across seven countries. In addition, U.S. National Institute of Standards Technology (NIST) human fecal reference materials were analyzed. Dysbiosis was assessed using a fixed microbial marker panel and composite distance metrics anchored to a clinically validated healthy Scandinavian reference population, using GA-map® Dysbiosis Test as an exemplar of this diagnostic framework. The diagnostic framework reproducibly identified normobiosis and dysbiosis across geographically distinct populations (USA, Canada, Germany, Italy, and the UK). Severe dysbiosis was detected with high specificity (93.6%) and positive predictive value (90.2%), independent of subjects' country of origin. Healthy individuals showed highly comparable dysbiosis index distributions across regions. These findings demonstrate that clinically useful dysbiosis diagnostics do not require geographically tailored reference populations and support the feasibility of standardized, geography-independent microbiome diagnostics for clinical application.

Indexed as

BacteriaDysbiosisGastrointestinal MicrobiomeAdultFecesFemaleHumansInflammatory Bowel DiseasesIrritable Bowel SyndromeMaleMiddle AgedRetrospective Studiesclinical biomarkersDysbiosisgut microbiotamicrobiome profilingnormobiosisstandardization

Identifiers

PMID42438061
PMCPMC13367077

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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.