Evidence map›Paper›PMID 40143557›Full record

ArticleImmunity, inflammation and disease2025

Integration of Metabolomics and 16S Ribosomal RNA Sequencing to Elucidate the Pathogenesis of Ankylosing Spondylitis.

Xin Wang, Haojie Xu, Yuyan Chao, Chao Sun, Tingting Wang, Xiaoyun Fan, Lin Tang, Shengqian Xu, Changhao Xie

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. 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. 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

9 authors.

Xin WangDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Haojie XuDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-2201-074X
Yuyan ChaoDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Chao SunDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Tingting WangDepartment of Medical Research Center, National Science and Technology Key Infrastructure on Translational Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
Xiaoyun FanDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Lin TangBiomarker Technologies Corporation, Beijing, China.
Shengqian XuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Changhao XieDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.ORCID 0000-0001-5039-5969

Funding

This research is supported by Natural Science Research Project of Anhui Educational Committee (2022AH051494), Anhui Provincial Key R&D Programmers (202304295107020088), the Natural Science Key Project of Bengbu Medical College (2021byzd104), Anhui Provincial Natural Science Foundation (2108085MH258), and Anhui Province Key Laboratory of Immunology in Chronic Diseases (KLICD-2023-D3).
6 · The paper itself

Abstract

objectiveDespite growing interest in the gut microbiota and blood metabolome in patients with ankylosing spondylitis (AS), its role remains poorly understood. Here, we investigate how microbial and metabolic alterations contribute to AS.

methodsFecal microbiome data from 40 AS patients were compared with those from 40 healthy controls (HCs) using 16S ribosomal RNA (rRNA) gene sequencing. The plasma metabolic profiles were analyzed and integrated with the microbiota data to identify biological characteristics specific to AS.

resultsAS patients showed significant enrichment of specific genera, including Megamonas, Elusimicrobium, Dysgonomonas, Ruminococcus_gauvreauii_group, and unclassified_Prevotellaceae. Pathways with the most differentially expressed metabolites included bile secretion; neomycin, kanamycin, and gentamicin biosynthesis; and arachidonic acid metabolism. Positive correlations between Megamonas and Elusimicrobium and metabolites such as piribedil, l-cystathionine, and crocetin dialdehyde suggested microbial enrichment in AS patients.

conclusionsA disrupted gut microbiota and altered metabolites are present in AS patients. Integrating microbiome and metabolomic data reveals significant disruptions in AS patients, improving our understanding of its pathogenesis.

Indexed as

Gastrointestinal MicrobiomeMetabolomicsRNA, Ribosomal, 16SSpondylitis, AnkylosingAdultCase-Control StudiesFecesFemaleHumansMaleMetabolomeMiddle AgedRNA, Ribosomal, 16S16S rRNA sequencingankylosing spondylitisblood metabolomegut microbiotametabolomics

Identifiers

PMID40143557
PMCPMC11947057

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.