InterventionsHuman trialPreprint95 participantsNon-randomised trialControlled

Diet and exercise partly reverse muscle shifts in a heart failure type

In 45 patients with heart failure with preserved ejection fraction, diet and exercise partially reversed altered gene activity and DNA packaging in muscle.

bioRxiv

Researchers analysed skeletal muscle biopsies from 95 people, including 25 healthy controls and 70 patients with heart failure with preserved ejection fraction. Of these patients, 45 had biopsies taken before and after a supervised diet and exercise programme.

Using single-nucleus sequencing, the team examined gene activity and chromatin accessibility, the physical openness of DNA, across 132,568 muscle cell nuclei. Patients with the condition showed muscle remodelling, including fewer endurance-oriented type 1 fibres and fewer pericytes, cells that support small blood vessels. The team also observed disrupted metabolic and calcium-handling pathways. Following the diet and exercise programme, these changes in both chromatin accessibility and gene activity were partially reversed in patient muscle.

Why it matters

Skeletal muscle abnormalities are key contributors to reduced exercise capacity in heart failure with preserved ejection fraction. These findings highlight molecular pathways behind this muscle dysfunction and identify regulatory mechanisms that respond to lifestyle interventions.

Caveats

The lifestyle intervention lacked an untreated patient control group and included 45 people. The paper is also a preprint that has not yet been peer-reviewed.

The paper

Single-nucleus multi-omics reveals reversible molecular signatures in skeletal muscle of patients with heart failure with preserved ejection fraction

M. L. Bose, A. Varshney, N. J. Carruthers,
Show 13 more authorsP. Orchard, M. Piper, E. Pashos, V. Dolgachev, N. Manickam, E. Curka, P. M. Jean-Beltran, D. Kitzman, E. Fauman, F. Damilano, R. J. Roth Flach, B. Nicklas, P. H. Brubaker,
S. Parker

Gilbert S. Omenn Dept. of Computational Medicine and Bioinformatics, Dept. of Human Genetics, Dept. of BiostatisticsUniversity of Michigan, Ann Arbor, MI, USA

bioRxiv · 9 Oct 2026 · CC BY · Preprint, not peer-reviewed

doi.org/10.64898/2026.10.07.756854