Evidence map›Paper›PMID 42185589›Full record

ArticleGeroScience2026

Plasma metabolomic and inflammatory profiles associated with low physical function in heart failure: an integrated cardiac-metabolic-muscular phenotype.

Konstantinos Prokopidis, Sima Jalali Farahani, Beyza Gulsah Altinpinar, Omid Khaiyat, Adam Burke, Amy Nortcliffe, Gregory Y H Lip, Rajiv Sankaranarayanan, Howbeer Muhamadali, Masoud Isanejad

Abstract read
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Article in GeroScience, 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

10 authors.

Konstantinos ProkopidisDepartment of Musculoskeletal Ageing and Science, Institute of Life Course and Medical Sciences, University of Liverpool, 6th West Derby Street, William Hendry Duncan Building, Liverpool, UK.
Sima Jalali FarahaniSchool of Health and Sport Sciences, Liverpool Hope University, Liverpool, UK.
Beyza Gulsah AltinpinarDepartment of Musculoskeletal Ageing and Science, Institute of Life Course and Medical Sciences, University of Liverpool, 6th West Derby Street, William Hendry Duncan Building, Liverpool, UK.
Omid KhaiyatSchool of Health and Sport Sciences, Liverpool Hope University, Liverpool, UK.
Adam BurkeCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, 6th West Derby Street, Bio Science Building, Liverpool, UK.
Amy NortcliffeDepartment of Musculoskeletal Ageing and Science, Institute of Life Course and Medical Sciences, University of Liverpool, 6th West Derby Street, William Hendry Duncan Building, Liverpool, UK.
Gregory Y H LipDepartment of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Science, University of Liverpool, Liverpool, UK.
Rajiv SankaranarayananLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK.
Howbeer MuhamadaliCentre for Metabolomics Research, Department of Biochemistry, Cell and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, 6th West Derby Street, Bio Science Building, Liverpool, UK. Howbeer.Muhamad-Ali@liverpool.ac.uk.
Masoud IsanejadDepartment of Musculoskeletal Ageing and Science, Institute of Life Course and Medical Sciences, University of Liverpool, 6th West Derby Street, William Hendry Duncan Building, Liverpool, UK. M.isanejad@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-3720-5152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated metabolomic profiles (dysmetabolism) have been observed in patients with heart failure (HF). In this study, we investigated metabolomic profiling differences in HF with reduced physical-functional capacity, hereafter termed reduced "muscle health" for brevity (HF-RM) compared to preserved muscle health (HF-PM) and healthy adults (NonHF). The HF-RM label denotes a screening-level functional phenotype consistent with EWGSOP2 "probable sarcopenia" and Fried physical-frailty constructs and is not intended to imply primary skeletal myopathy independent of cardiac limitation. Exploratory objectives included compared HFrEF and HFpEF subtypes to detangle muscle and metabolomic phenotype from cardiac markers. Twenty-five patients with HF (67.9 ± 10.0 years) and 29 NonHF (67.8 ± 11.1 years) underwent body composition, muscle strength, and lifestyle habits assessments. Reduced muscle health was defined based on low physical activity and sex-specific cut-offs for handgrip strength (HGS) and/or 30-s chair stand test (30CST). Energy and inflammatory metabolites were assessed via untargeted plasma metabolomic profiling. Statistical analyses were conducted using SPSS and MetaboAnalyst. Agnostic principal component analysis revealed elevated branched-chain amino acids (BCAA) and reduced glutamine, methionine and tryptophan in HF-RM vs. NonHF-PM controls (p < 0.05). Compared to HF-PM, HF-RM had lower galacturonic acid-1-phosphate, methionine, indole-3-propionic acid, and pyruvic and malic acid (p < 0.05). Significant negative correlations were found between N-terminal pro-B-type natriuretic peptide, tumour necrosis factor-alpha, GDF-15, HGS/BMI, appendicular lean soft tissue index (ALSTI)/BMI, and 30CST (p < 0.05). Among HF, higher HGS/body mass index (BMI) was linked to longer 6MWD (β = 0.677, p < 0.001) and shorter walking speed (β = -0.532, p = 0.006). HF-RM compared to NonHF-PM had significantly elevated growth differentiation factor-15 (GDF-15) levels (median 1202 vs. 344 pg/ml, p < 0.01). HF-RM is marked by impaired energy and fatty acid metabolism, and elevated BCAA catabolism, inflammation, and GDF-15. These biomarkers may represent candidate therapeutic targets to mitigate functional decline in HF, although the present cross-sectional design precludes causal inference. Also, HGS/BMI shows promise as a body-load-normalised functional indicator in HF; given the absence of group differences in absolute strength and the predominantly sarcopenic-obesity phenotype of this cohort, this exploratory finding requires confirmation in larger and HFrEF/HFpEF-balanced studies.

Indexed as

Energy metabolismHeart failureMetabolomicsMuscle weaknessSarcopenia

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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.