Evidence map›Paper›PMID 30744546›Full record

ArticleBMC genomics2019

Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis.

QuanQiu Wang, Rong Xu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. New Personalized Medicine Model for Medication Management.Journal of personalized medicine · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Microbiota regulation in constipation and colorectal cancer.World journal of gastrointestinal oncology · 2023
    Review
  9. Article
  10. Gut microbiota and immunity relevance in eubiosis and dysbiosis.Saudi journal of biological sciences · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  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

2 authors at 1 institution in 1 country.

QuanQiu WangDepartment of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
Rong XuDepartment of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA. rxx@case.edu.
Case Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Rapid reverse translational drug repositioningDP2HD084068 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2014 to 2014
$2.4M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
Eunice Kennedy Shriver National Institute of Child Health and Human Development DP2HD084068NCATS NIH HHS UL1 TR002548NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG057557-01NIA NIH HHS R01 AG061388NIA NIH HHS R01 AG061388-01NIA NIH HHS R56 AG062272NIA NIH HHS R56 AG062272-01NICHD NIH HHS DP2 HD084068NIH HHS 1UL1TR002548-01Pfizer WI206753
6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is the most common autoimmune disease and affects about 1% of the population. The cause of RA remains largely unknown and could result from a complex interaction between genes and environment factors. Recent studies suggested that gut microbiota and their collective metabolic outputs exert profound effects on the host immune system and are implicated in RA. However, which and how gut microbial metabolites interact with host genetics in contributing to RA pathogenesis remains unknown. In this study, we present a data-driven study to understand how gut microbial metabolites contribute to RA at the genetic, functional and phenotypic levels.

resultsWe used publicly available disease genetics, chemical genetics, human metabolome, genetic signaling pathways, mouse genome-wide mutation phenotypes, and mouse phenotype ontology data. We identified RA-associated microbial metabolites and prioritized them based on their genetic, functional and phenotypic relevance to RA. We evaluated the prioritization methods using short-chain fatty acids (SCFAs), which were previously shown to be involved in RA etiology. We validate the algorithms by showing that SCFAs are highly associated with RA at genetic, functional and phenotypic levels: SCFAs ranked at top 3.52% based on shared genes with RA, top 5.69% based on shared genetic pathways, and top 16.94% based on shared phenotypes. Based on the genetic-level analysis, human gut microbial metabolites directly interact with many RA-associated genes (as many as 18.1% of all 166 RA genes). Based on the functional-level analysis, human gut microbial metabolites participate in many RA-associated genetic pathways (as many as 71.4% of 311 genetic pathways significantly enriched for RA), including immune system pathways. Based on the phenotypic-level analysis, gut microbial metabolites affect many RA-related phenotypes (as many as 51.3% of 978 phenotypes significantly enriched for RA), including many immune system phenotypes.

conclusionsOur study demonstrates strong gut-microbiome-immune-joint interactions in RA, which converged on both genetic, functional and phenotypic levels.

Indexed as

Computational BiologyGastrointestinal MicrobiomeArthritis, RheumatoidHumansJointsMetabolomicsMutationPhenotypeSignal TransductionComputational analysisGut microbiotaMetabolismRheumatoid arthritis

Identifiers

PMID30744546
PMCPMC6371598
OpenAlexW2922325004

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.