ArticleJournal of cachexia, sarcopenia and muscle2025
Transcriptomic Signature of Frailty in Older Patients With Cardiovascular Disease Undergoing Cardiac Surgery or TAVI.
Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- Impact of preoperative sarcopenia on the mortality risk in patients undergoing transcatheter aortic valve implantation: a systematic review and meta-analysis.Journal of thoracic disease · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundDeterioration of functional capacity mostly determinates frailty in older patients with cardiovascular disease (CVD). Elucidating the pathophysiological mechanisms of physical frailty is an important goal for improving functional health-related outcomes. Our objective was the determination of the transcriptomic signature of physical frailty phenotypes in older patients undergoing cardiac surgery.
methodsPatients aged ≥ 70 years, referred for elective cardiac surgery (e.g., coronary artery bypass graft) or transcatheter aortic valve implantation (TAVI) were recruited. At hospital admission, frailty was assessed based on moderately/severely impaired mobility (Timed Up and Go; ≥ 10 and ≥ 20 s), low gait speed (5-m Walk Test; ≥ 6 s) or reduced handgrip strength (male ≤ 27, female ≤ 16 kg). Muscle specimens (M. quadriceps femoris) were collected during surgery/intervention and used for total RNA isolation and sequencing. Differential gene expression analysis was performed using DESeq2 and regression analyses investigated association between frailty and gene expression levels.
resultsSixty-three patients (77.6 ± 4.3 years; 74% male) referred to cardiac surgery (n = 34, 54%) or TAVI (n = 29, 46%) were included. Overall, 43 patients (70.2%) were characterized as frail by moderately/severely impaired mobility, 19 (30.6%) by low gait speed and 19 (30.2%) by low handgrip strength. In total, 37 patients (59%) experienced ≥ 1 complication (e.g., need of transfusion, atrial fibrillation and delirium); one patient died. Based on transcriptome data, 10 overlapping genes between all physical frailty phenotypes were identified, with S100A1 showing the strongest differences in expression level (e.g., handgrip R
conclusionOur data highlight the potential role of S100A1 in the pathophysiological mechanisms of skeletal muscle impairments in older CVD patients and warrants further consideration as a target gene for physical frailty. These findings also advance our understanding of the genetic and biological factors contributing to frailty, potentially guiding future therapeutic strategies to mitigate its impact on health outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.