Evidence map›Paper›PMID 35428806›Full record

ArticleScientific reports2022

Microbial changes in stool, saliva, serum, and urine before and after anti-TNF-α therapy in patients with inflammatory bowel diseases.

Yong Eun Park, Hye Su Moon, Dongeun Yong, Hochan Seo, Jinho Yang, Tae-Seop Shin, Yoon-Keun Kim, Jin Ran Kim, Yoo Na Lee, Young-Ho Kim and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% of its field
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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  15. Bacterial membrane vesicles restore gut anaerobiosis.NPJ biofilms and microbiomes · 2025
    Article
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  18. Oral Microbiota Associated with Clinical Efficacy of Ustekinumab in Crohn's Disease.Endocrine, metabolic & immune disorders drug targets · 2025
    Article
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  20. Article
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

12 authors at 4 institutions in 1 country.

Yong Eun ParkDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Hye Su MoonDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Dongeun YongDepartment of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Hochan SeoMD Healthcare Inc, Seoul, 03923, Republic of Korea.
Jinho YangMD Healthcare Inc, Seoul, 03923, Republic of Korea.
Tae-Seop ShinMD Healthcare Inc, Seoul, 03923, Republic of Korea.
Yoon-Keun KimMD Healthcare Inc, Seoul, 03923, Republic of Korea.
Jin Ran KimEisai Korea Inc., Seoul, 06163, Republic of Korea.
Yoo Na LeeEisai Korea Inc., Seoul, 06163, Republic of Korea.
Young-Ho KimSamsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
Joo Sung KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
Jae Hee CheonDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea. GENIUSHEE@yuhs.ac.
Yonsei University · KRSeoul National University · KRSungkyunkwan University · KREisai (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel diseases (IBD), including Crohn's disease and ulcerative colitis, are chronic immune-mediated intestinal inflammatory disorders associated with microbial dysbiosis at multiple sites, particularly the gut. Anti-tumor necrosis factor-α (TNF-α) agents are important treatments for IBD. We investigated whether microbiome changes at multiple sites can predict the effectiveness of such treatment in IBD. Stool, saliva, serum, and urine biosamples were collected from 19 IBD patients before (V1) and 3 months after (V2) anti-TNF-α treatment, and 19 healthy subjects (control). Microbiota analysis was performed using extracellular vesicles (EVs; all four sample types) and next-generation sequencing (NGS; stool and saliva). The stool, using NGS analysis, was the only sample type in which α-diversity differed significantly between the IBD and control groups at V1 and V2. Relative to non-responders, responders to anti-TNF-α treatment had significantly higher levels of Firmicutes (phylum), Clostridia (class), and Ruminococcaceae (family) in V1 stool, and Prevotella in V1 saliva. Non-responders had significantly higher V2 serum and urine levels of Lachnospiraceae than responders. Finally, Acidovorax caeni was detected in all V1 sample types in responders, but was not detected in non-responders. Microbiome changes at multiple sites may predict the effectiveness of anti-TNF-α treatment in IBD, warranting further research.

Indexed as

Colitis, UlcerativeGastrointestinal MicrobiomeInflammatory Bowel DiseasesDysbiosisEubacterialesHumansSalivaTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsTumor Necrosis Factor-alphaTumor Necrosis Factor Inhibitors

Identifiers

PMID35428806
PMCPMC9012770
OpenAlexW4224144931

What OpenQuestion 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 OpenQuestion graph.