Evidence map›Paper›PMID 38556917›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2024

Laser Capture Microscopy RNA Sequencing for Topological Mapping of Synovial Pathology During Rheumatoid Arthritis.

Benjamin Van Espen, E Barton Prideaux, Andrew R Wilson, Camilla R L Machado, Sho Sendo, James Parker, Grégory Seumois, Cristiano Sacchetti, Anna C Belongia, Narayanan B Perumal and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2024. 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
0.9field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

17 authors at 4 institutions in 1 country.

Benjamin Van EspenUniversity of California, San Diego, La Jolla.
E Barton PrideauxUniversity of California, San Diego, La Jolla.
Andrew R WilsonUniversity of California, San Diego, La Jolla.
Camilla R L MachadoUniversity of California, San Diego, La Jolla.
Sho SendoUniversity of California, San Diego, La Jolla.ORCID https://orcid.org/0000-0002-7193-341X
James ParkerEli Lilly and Company, Indianapolis, Indiana.
Grégory SeumoisLa Jolla Institute for Immunology, La Jolla, California.
Cristiano SacchettiUniversity of California, San Diego, La Jolla.
Anna C BelongiaUniversity of California, San Diego, La Jolla.
Narayanan B PerumalEli Lilly and Company, Indianapolis, Indiana.
Pandurangan VijayanandUniversity of California, San Diego, and La Jolla Institute for Immunology, La Jolla, California.
Matthew D LinnikEli Lilly and Company, Indianapolis, Indiana.
Robert J BenschopEli Lilly and Company, Indianapolis, Indiana.
Wei WangUniversity of California, San Diego, La Jolla.
Nunzio BottiniUniversity of California, San Diego, La Jolla, and Kao Autoimmunity Institute, Cedars-Sinai Medical Center, Los Angeles, California.ORCID https://orcid.org/0000-0001-9025-7501
Gary S FiresteinUniversity of California, San Diego, La Jolla.ORCID https://orcid.org/0000-0003-3495-960X
Stephanie M StanfordUniversity of California, San Diego, La Jolla.ORCID https://orcid.org/0000-0003-0934-5462
University of California San Diego · USEli Lilly (United States) · USLa Jolla Institute for Immunology · USCedars-Sinai Medical Center · US

Funding

Resource-based Center for the study of the joint microenvironment in rheumatology (Overall Application)P30AR073761 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CORR, MARY P · 2018 to 2022
$3.9M
Rheumatic Diseases Research Training GrantT32AR064194 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARY S FIRESTEIN, Monica Guma · 2013 to 2026
$3.8M
Eli Lilly and CompanyNIAMS NIH HHS P30 AR073761NIAMS NIH HHS T32 AR064194NIH HHS P30AR073761
6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) is an autoimmune disease in which the joint lining or synovium becomes highly inflamed and majorly contributes to disease progression. Understanding pathogenic processes in RA synovium is critical for identifying therapeutic targets. We performed laser capture microscopy (LCM) followed by RNA sequencing (LCM-RNAseq) to study regional transcriptomes throughout RA synovium.

methodsSynovial lining, sublining, and vessel samples were captured by LCM from seven patients with RA and seven patients with osteoarthritis (OA). RNAseq was performed on RNA extracted from captured tissue. Principal component analysis was performed on the sample set by disease state. Differential expression analysis was performed between disease states based on log

resultsRA and OA transcriptomes were distinguishable by principal component analysis. Pairwise comparisons of synovial lining, sublining, and vessel samples between RA and OA revealed substantial differences in transcriptional patterns throughout the synovium. Hierarchical clustering of pathways based on significance revealed a pattern of association between biologic function and synovial topology. Analysis of pathways uniquely enriched in each region revealed distinct phenotypic abnormalities. As examples, RA lining samples were marked by anomalous immune cell signaling, RA sublining samples were marked by aberrant cell cycle, and RA vessel samples were marked by alterations in heme scavenging.

conclusionLCM-RNAseq confirms reported transcriptional differences between the RA synovium and the OA synovium and provides evidence supporting a relationship between synovial topology and molecular anomalies in RA.

Indexed as

Arthritis, RheumatoidLaser Capture MicrodissectionSequence Analysis, RNASynovial MembraneAgedFemaleGene Expression ProfilingHumansMaleMiddle AgedOsteoarthritisPrincipal Component AnalysisTranscriptome

Identifiers

PMID38556917
PMCPMC11949376
OpenAlexW4393383957

What OpenQuestion holds

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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.