Evidence map›Paper›PMID 43015585›Full record

ArticleAging cell2026

Multiomics Reveals a Production Signature Resembling Mammalian Metabolic Ageing and That Dietary Spermidine Enhances Lipid Handling in Farmed Salmon.

Kanchan Phadwal, Dominic Kurian, Jennifer Haggarty, Herve Migaud, Viktoriya Nicheva, James Dick, Muhammad Khalid F Salamat, Phillip D Whitfield, Chessor Matthew, Nicholas M Wade and 2 more

Abstract read
In one paragraph

Article in Aging cell, 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

12 authors.

Kanchan PhadwalThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.ORCID https://orcid.org/0000-0001-6745-9818
Dominic KurianThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Jennifer HaggartyShared Research Facilities, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID https://orcid.org/0000-0002-5041-8785
Herve MigaudMowi, Farms Office, Fort William, UK.
Viktoriya NichevaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
James DickInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.
Muhammad Khalid F SalamatThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Phillip D WhitfieldMass Spectrometry, Shared Research Facilities (SRF), College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.ORCID https://orcid.org/0000-0002-0814-4119
Chessor MatthewInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.
Nicholas M WadeThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.ORCID https://orcid.org/0000-0001-7235-6274
Mónica B BetancorInstitute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling, UK.
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.ORCID https://orcid.org/0000-0001-8050-7722

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/10002071Biotechnology and Biological Sciences Research Council BBS/E/RL/230001CBiotechnology and Biological Sciences Research Council BB/Z517173/1Seafood innovation fund grant RD204
6 · The paper itself

Abstract

Metabolic ageing and associated changes in lipid mobilisation have been heavily studied in humans and model taxa, yet remain poorly understood in farmed animals, with potentially important implications for health and welfare outcomes. Here, we compared three stages of aquaculture production in Atlantic salmon (Salmo salar), the world's most commercially valuable farmed fish. Our sampling captures smoltification, a key life-cycle transition, followed by the metabolic changes occurring during growth in seawater. Integrating lipidomics and proteomics of visceral adipose and skeletal muscle tissue, we firstly identify production-associated tissue specific molecular signatures resembling mammalian metabolic ageing, which were distinct from lipid-associated remodelling following smoltification. This was marked by impaired triglyceride storage alongside proteomic changes consistent with dysfunctional autophagy-lysosomal pathways, inflammation, fibrosis and reduced pathogen clearance pathways in visceral adipose tissue. In skeletal muscle, this metabolic-ageing related phenotype was accompanied by downregulation of protein markers of substrate utilisation, reduction in free fatty acids for energy production, triglyceride accumulation, depletion of phospholipids and increased abundance of protein markers associated with senescence. We finally provide in vivo experimental evidence that dietary spermidine supplementation in seawater stage salmon remodels the distribution of fatty acids in both adipose tissue and skeletal muscle. Importantly, this occurred in parallel to changes in lipid and protein markers that may reprogram lipid handling, supporting a hypothesis that spermidine supplementation counters the proposed metabolic ageing related phenotype. As farmed salmon exhibit multiple features of human metabolic ageing linked to its recent domestication, this species offers a novel model for vertebrate ageing studies.

Indexed as

AgingLipid MetabolismSalmo salarSpermidineAnimalsMultiomicsMuscle, SkeletalSpermidineAtlantic salmonautophagyfatty acidlysosomesmetabolic ageingphospholipidsspermidinetriglycerides

Identifiers

PMID43015585
PMCPMC13755070

What OpenQuestion holds

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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.