Evidence map›Paper›PMID 42818025›Full record

ArticlebioRxiv : the preprint server for biology2026

Spatial Transcriptomics Identifies Muscle Inflammation Susceptibility as a Distinct Periarticular Skeletal Muscle Phenotype in End-Stage Knee Osteoarthritis.

Franccesco P Boeno, Zachary A Graham, Qi Su, Michael J Stec, Arny A Ferrando, Wei Keat Lim, Marcas M Bamman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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
–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

0 citing papers in PubMed.

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

7 authors.

Franccesco P BoenoHealthspan, Resilience and Performance Research, Florida Institute for Human and Machine Cognition, Pensacola, FL.ORCID 0000-0001-7729-7015
Zachary A GrahamHealthspan, Resilience and Performance Research, Florida Institute for Human and Machine Cognition, Pensacola, FL.ORCID 0000-0002-6506-7025
Qi SuRegeneron Pharmaceuticals, Tarrytown, NY.
Michael J StecJohnson & Johnson Innovative Medicine, Cambridge, MA.
Arny A FerrandoHealthspan, Resilience and Performance Research, Florida Institute for Human and Machine Cognition, Pensacola, FL.
Wei Keat LimRegeneron Pharmaceuticals, Tarrytown, NY.
Marcas M BammanHealthspan, Resilience and Performance Research, Florida Institute for Human and Machine Cognition, Pensacola, FL.

Funding

Overcoming TWEAK Signaling to Restore Muscle and Mobility after Joint ReplacementR01HD084124 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BAMMAN, MARCAS M, BRIDGES, S LOUIS · 2015 to 2019
$2.6M
NICHD NIH HHS R01 HD084124
6 · The paper itself

Abstract

Skeletal muscle dysfunction is a major contributor to disability and incomplete functional recovery in patients with end-stage knee osteoarthritis (KOA), yet the spatial components of disease-associated molecular remodeling remain poorly understood. Here, we applied spatial transcriptomics to paired skeletal muscle biopsies obtained from the surgical (Sx) and contralateral (Ct) limbs of individuals undergoing total knee arthroplasty (TKA) to define the cellular architecture of periarticular muscle and determine how muscle inflammation susceptibility (MuIS) shapes local transcriptional programs. Integrated analysis of 27,087 spots obtained from 22 muscle histological cross-sections (11 Sx-Ct pairs) revealed seven spatially resolved transcriptional domains corresponding to slow and fast myofiber states, an extracellular matrix/fibroadipogenic-enriched domain, a pericyte/smooth muscle domain, and a satellite cell/myogenic-enriched domain. Despite advanced unilateral disease, the major annotated cellular compartments were similarly represented between Sx and Ct limbs. KOA-associated remodeling was reflected primarily by within-cluster transcriptional changes, with the most informative differences observed in fibroadipogenic, pericyte/smooth muscle, and satellite/myogenic domains. Within Sx, MuIS stratification identified a coordinated transcriptional program characterized by denervation- and regeneration-associated genes and altered contractile and metabolic features. Neighborhood analysis localized denervation-associated signals primarily to fast-myofiber-rich regions, while local adjacency patterns among the examined myofiber, fibroadipogenic, and pericyte/smooth muscle domains were broadly preserved. Our findings provide the first spatial transcriptomic analysis of periarticular skeletal muscle in end-stage KOA and identify MuIS as a distinct local transcriptional phenotype in diseased muscle.

Identifiers

PMID42818025
PMCPMC13621980

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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.