Evidence map›Paper›PMID 41545492›Full record

ArticleCommunications medicine2026

Skeletal muscle transcriptional dysregulation of genes involved in senescence is associated with prognosis in severe heart failure.

Eric Rullman, Alen Lovric, Michael Melin, Rodrigo Fernandez-Gonzalo, Thomas Gustafsson

Abstract read
In one paragraph

Article in Communications medicine, 2026. 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

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

5 authors.

Eric RullmanDivision of Clinical Physiology, Department of Laboratory Medicine, Karolinska, Institutet, and Unit of Clinical Physiology, Karolinska University Hospital Huddinge, Stockholm, Sweden. eric.rullman@ki.se.ORCID http://orcid.org/0000-0003-2854-7262
Alen LovricDivision of Clinical Physiology, Department of Laboratory Medicine, Karolinska, Institutet, and Unit of Clinical Physiology, Karolinska University Hospital Huddinge, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5778-9928
Michael MelinDivision of Clinical Physiology, Department of Laboratory Medicine, Karolinska, Institutet, and Unit of Clinical Physiology, Karolinska University Hospital Huddinge, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8541-623X
Rodrigo Fernandez-GonzaloDivision of Clinical Physiology, Department of Laboratory Medicine, Karolinska, Institutet, and Unit of Clinical Physiology, Karolinska University Hospital Huddinge, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2816-9855
Thomas GustafssonDivision of Clinical Physiology, Department of Laboratory Medicine, Karolinska, Institutet, and Unit of Clinical Physiology, Karolinska University Hospital Huddinge, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe skeletal muscle hypothesis refers to a vicious cycle of successive deterioration of left ventricular function, skeletal muscle remodeling, and functional capacity in patients with heart failure. Despite extensive research, the regulatory mechanisms and their associations with clinical status and prognosis are still largely unclear.

methodsTo identify mechanisms and characterize underlying processes involved in the disease pathophysiology, we performed RNA sequencing and network analysis using human skeletal muscle samples from 58 patients with severe symptomatic heart failure. A co-expression network with communities involved in established biological processes within human skeletal muscle was identified and validated in two independent cohorts.

resultsHere, we show network communities associated with mitochondrial beta-oxidation, extracellular matrix remodeling, oxidative phosphorylation, and contractile elements with lower expression in heart failure patients than in age-matched controls. Based on the strong correlation with clinical features and prognosis, extracellular matrix remodeling, mitochondrial beta-oxidation, and p53 signalling communities are identified as key underlying processes. The former two communities are highly enriched with genes regulated by physical (in)activity, i.e., bed rest and exercise, and associated weakly with prognosis. Community related to p53 signalling, with CDKN1A as a key regulator, is increased in heart failure patients relative to age-matched controls and associated with worse prognosis.

conclusionThe current work differentiates previously proposed factors underlying heart failure-induced skeletal muscle dysfunction, emphasizing the p53 signalling community and importance of biological age in this process. The distinct association with clinical status and prognosis furthermore supports pathophysiological significance and clinical potential of this community.

Identifiers

PMID41545492
PMCPMC12891519

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.