Evidence map›Paper›PMID 39802798›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Multi-omic Biomarkers Distinguish Rheumatoid Arthritis in Discordant Monozygotic Twins.

Rebecca B Blank, Kevin Bu, Weixi Chen, Ian Cunningham, Jeremy Sokolove, Lauren Lahey, Adriana Heguy, Rhina Medina, Carles Ubeda, Renuka R Nayak and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Rebecca B BlankDivision of Rheumatology, NYU School of Medicine.ORCID 0000-0002-6292-6947
Kevin BuDept. Genetics and Genomic Sciences, Precision Immunology Institute, Icahn School of Medicine at Mt. Sinai.
Weixi ChenDivision of Biostatistics, Dept. Population Health, NYU School of Medicine.
Ian CunninghamDivision of Rheumatology, NYU School of Medicine.
Jeremy SokoloveStanford University School of Medicine.
Lauren LaheyStanford University School of Medicine.
Adriana HeguyDept of Pathology, NYU School of Medicine, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana - FISABIO, Valencia, Spain.ORCID 0000-0002-2836-6683
Rhina MedinaDivision of Rheumatology, NYU School of Medicine.
Carles UbedaDivision of Rheumatology, NYU School of Medicine.
Renuka R NayakRheumatology Division, Department of Medicine, University of California, San Francisco, California.
Jiyuan HuDivision of Biostatistics, Dept. Population Health, NYU School of Medicine.
Adam CantorDept. Genetics and Genomic Sciences, Precision Immunology Institute, Icahn School of Medicine at Mt. Sinai.
Jakleen LeeDept. Genetics and Genomic Sciences, Precision Immunology Institute, Icahn School of Medicine at Mt. Sinai.
Jose C ClementeDept. Genetics and Genomic Sciences, Precision Immunology Institute, Icahn School of Medicine at Mt. Sinai.
Jose U ScherDivision of Rheumatology, NYU School of Medicine.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Micro-TeACH (Microbiome Technology and Analytic Center Hub)UC2AR081034 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jose C Clemente, ADRIANA HEGUY · 2022 to 2026
$4.6M
Employing the gut microbiome to accelerate effective initiation of rheumatoid arthritis therapyR01AR074500 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Renuka Rajendra Nayak, Jose U. Scher · 2019 to 2026
$4.1M
Translational Basic and Clinical Research Training in RheumatologyT32AR069515 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jill P Buyon, Jose U. Scher · 2017 to 2026
$2.9M
Human Gut Microbiome as Modulator of Drug Response in Inflammatory ArthritisR03AR072182 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SCHER, JOSE U. · 2017 to 2018
$170k
NCATS NIH HHS UL1 TR001445NIAMS NIH HHS R01 AR074500NIAMS NIH HHS R03 AR072182NIAMS NIH HHS T32 AR069515NIAMS NIH HHS UC2 AR081034
6 · The paper itself

Abstract

Background: Although genetic factors have been identified in the pathogenesis of rheumatoid arthritis (RA), the concordance rate in monozygotic (MZ) twins is low, suggesting that other features contribute to disease development. Further, the relative contribution of such non-genetic elements in identical twins have not been characterized. Here, we aimed to measure differentiating host and microbial biomarkers of RA by studying MZ twins discordant for disease using a multi-omics approach. Methods: Eight pairs of MZ twins discordant for RA (n=16) were enrolled. Gut microbiome was assessed using shotgun metagenomic sequencing. Autoantibodies, cytokines, and other plasma proteins were measured in both plasma and feces. Levels of short and medium-chain fatty acids from serum and feces were quantified using gas chromatography mass spectrometry (GC-MS). Results: While overall microbiome diversity and composition did not significantly differ between twins, we observed a decrease in Conclusion: Multi-omics biomarkers differentiate MZ twins discordant for RA.

Identifiers

PMID39802798
PMCPMC11722474

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Registered trials

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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.