Evidence map›Paper›PMID 41581896›Full record

ArticleJournal of microbiology and biotechnology2026

Integrated Metabolomics and Microbial Profiling in Patients with Irritable Bowel Syndrome.

Yeongseo Kim, Mee-Hyun Lee, Seung-Ho Seo, Juhan Pak, Soobin Bae, Gayoun Lee, Gi Dae Kim, Hyun Sik Kim, Young-Ho Moon, Hong-Seok Son

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of microbiology and biotechnology, 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

10 authors.

Yeongseo KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Mee-Hyun LeeCollege of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea.
Seung-Ho SeoCollege of Korean Medicine, Dongshin University, Naju 58245, Republic of Korea.
Juhan PakDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Soobin BaeDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Gayoun LeeDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Gi Dae KimDepartment of Food and Nutrition, Kyungnam University, Changwon 51767, Republic of Korea.
Hyun Sik KimDepartment of Biology, College of Science, Kyung Hee University, Seoul 02447, Republic of Korea.
Young-Ho MoonMokpo Korean Medical Hospital, Dongshin University, Mokpo 58665, Republic of Korea.
Hong-Seok SonDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to identify metabolic and gut microbial changes associated with the pathophysiology of irritable bowel syndrome (IBS) by comparing the plasma/urinary metabolite profiles and gut microbiota composition between healthy controls (HC) and IBS patients. There was no significant difference in overall microbial diversity; however, IBS patients showed relatively higher abundance of

Indexed as

Gastrointestinal MicrobiomeIrritable Bowel SyndromeMetabolomicsAdultBacteriaDysbiosisFatty AcidsFemaleHumansMetabolic Networks and PathwaysMetabolomeMiddle AgedMultiomicsFatty AcidsGC-MSGut microbiotaIrritable bowel syndromeMetabolomicsNext-generation sequencingUPLC-QTOF-MS

Identifiers

PMID41581896
PMCPMC12861726

What OpenQuestion holds

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LicenceCC BY
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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.