# Cross-Platform Transcriptomic Analysis of 40 Human and Rodent Skeletal Muscle Exerkines

**Authors:** Hash Brown Taha, Nathan Robbins, Firas-Shah Zoha, Shirley Zhu, Nandhana Vivek, Aleksander Bogoniewski

PMC · DOI: 10.3390/muscles5010015 · Muscles · 2026-02-13

## TL;DR

This study compares how exercise-related molecules called exerkines are regulated in human and rodent muscles under different exercise conditions.

## Contribution

The study identifies conserved and species-specific patterns of exerkine regulation across acute and chronic exercise in humans and rodents.

## Key findings

- Only a small subset of exerkines showed conserved regulation across species.
- Exerkine regulation varied significantly based on exercise modality and sex.
- Transcriptomic data alone may not reflect actual protein-level changes or tissue interactions.

## Abstract

Animal and human studies show that exercise induces organism-wide molecular adaptations that are partly mediated by exerkines which are secreted factors that enable inter-organ communication between tissues such as skeletal muscle, adipose tissue, liver and the brain. However, the tissue-specific responsiveness of individual exerkines and how these responses differ across species, exercise conditions and sexes remain poorly understood. To address this gap, we systematically analyzed skeletal muscle transcriptomic responses of 40 exerkines using three publicly available datasets including MetaMEx, Extrameta and the MoTrPAC 6-month-old rat training dataset. We reviewed exerkine-specific regulation in humans, mice and rats across acute and chronic exercise and inactivity. We determined conserved, non-conserved, and discordant exerkines across species and whether they were dependent on exercise modality or sex. Our review reveals substantial heterogeneity in skeletal muscle transcriptomic exerkine regulation with only a small subset showing conserved changes across species. Additionally, a key limitation is that our analysis was limited to transcriptomic data and may not reflect protein-level abundance, secretion, or uptake by recipient tissues. Therefore, we highlight a need for multi species and multi condition approaches when selecting exerkines as biomarkers or surrogate therapeutic targets.

## Linked entities

- **Species:** Homo sapiens (taxon 9606), Mus musculus (taxon 10090), Rattus norvegicus (taxon 10116)

## Full-text entities

- **Genes:** CX3CL1 (C-X3-C motif chemokine ligand 1) [NCBI Gene 6376] {aka ABCD-3, C3Xkine, CXC3, CXC3C, NTN, NTT}, FGF21 (fibroblast growth factor 21) [NCBI Gene 26291], TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, CLU (clusterin) [NCBI Gene 1191] {aka AAG4, APO-J, APOJ, CLI, CLU1, CLU2}, KL (klotho) [NCBI Gene 9365] {aka HFTC3, KLA}, LIF (LIF interleukin 6 family cytokine) [NCBI Gene 3976] {aka CDF, DIA, HILDA, MLPLI}, NTF3 (neurotrophin 3) [NCBI Gene 4908] {aka HDNF, NGF-2, NGF2, NT-3, NT3}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, DCN (decorin) [NCBI Gene 1634] {aka CSCD, DSPG2, PG40, PGII, PGS2, SLRR1B}, OSTN (osteocrin) [NCBI Gene 344901] {aka MUSCLIN}, Ces2h (carboxylesterase 2H) [NCBI Gene 436059] {aka Ces2, Gm5744}, IGF1 (insulin like growth factor 1) [NCBI Gene 3479] {aka IGF, IGF-I, IGFI, MGF}, SDC4 (syndecan 4) [NCBI Gene 6385] {aka SYND4}, TGFB2 (transforming growth factor beta 2) [NCBI Gene 7042] {aka CAEND2, G-TSF, LDS4, TGF-beta2}, ERFE (erythroferrone) [NCBI Gene 151176] {aka C1QTNF15, CTRP15, FAM132B}, PF4 (platelet factor 4) [NCBI Gene 5196] {aka CXCL4, PF-4, SCYB4}, CD44 (CD44 molecule (IN blood group)) [NCBI Gene 960] {aka CDW44, CSPG8, ECM-III, ECMR-III, H-CAM, HCELL}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CTSB (cathepsin B) [NCBI Gene 1508] {aka APPS, CPSB, KWE, RECEUP}, PSAPL1 (prosaposin like 1) [NCBI Gene 768239], FN1 (fibronectin 1) [NCBI Gene 2335] {aka CIG, ED-B, FINC, FN, FNZ, GFND}, GDF15 (growth differentiation factor 15) [NCBI Gene 9518] {aka GDF-15, HG, MIC-1, MIC1, NAG-1, PDF}, ANGPTL4 (angiopoietin like 4) [NCBI Gene 51129] {aka ARP4, FIAF, HARP, HFARP, NL2, PGAR}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, FSTL1 (follistatin like 1) [NCBI Gene 11167] {aka FRP, FSL1, OCC-1, OCC1, tsc36}, AHSG (alpha 2-HS glycoprotein) [NCBI Gene 197] {aka A2HS, AHS, APMR1, FETUA, HSGA}, CES2 (carboxylesterase 2) [NCBI Gene 8824] {aka CE-2, CES2A1, PCE-2, iCE}, APLN (apelin) [NCBI Gene 8862] {aka APEL, XNPEP2}, FST (follistatin) [NCBI Gene 10468] {aka FS}, PSAP (prosaposin) [NCBI Gene 5660] {aka GLBA, PARK24, PSAPD, SAP1, SAP2}, SPARC (secreted protein acidic and cysteine rich) [NCBI Gene 6678] {aka BM-40, OI17, ON, ONT}, GH1 (growth hormone 1) [NCBI Gene 2688] {aka GH, GH-N, GHB5, GHN, IGHD1A, IGHD1B}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, APLNR (apelin receptor) [NCBI Gene 187] {aka AGTRL1, APJ, APJR, HG11}, NTN1 (netrin 1) [NCBI Gene 9423] {aka MRMV4, NET1, NTN1L}, ANGPT1 (angiopoietin 1) [NCBI Gene 284] {aka AGP1, AGPT, AGPT-1, ANG1, HAE5}, FNDC5 (fibronectin type III domain containing 5) [NCBI Gene 252995] {aka FRCP2, irisin}, METRNL (meteorin like, glial cell differentiation regulator) [NCBI Gene 284207], IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, IL7 (interleukin 7) [NCBI Gene 3574] {aka IL-7, IMD130}, PPARGC1A (PPARG coactivator 1 alpha) [NCBI Gene 10891] {aka LEM6, PGC-1(alpha), PGC-1alpha, PGC-1v, PGC1, PGC1A}, MSTN (myostatin) [NCBI Gene 2660] {aka GDF8, MSLHP}, IL15 (interleukin 15) [NCBI Gene 3600] {aka IL-15}, TFEB (transcription factor EB) [NCBI Gene 7942] {aka ALPHATFEB, BHLHE35, TCFEB}, BDNF (brain derived neurotrophic factor) [NCBI Gene 627] {aka ANON2, BULN2}, GPLD1 (glycosylphosphatidylinositol specific phospholipase D1) [NCBI Gene 2822] {aka GPIPLD, GPIPLDM, PIGPLD, PIGPLD1, PLD}
- **Diseases:** ectopic calcification (MESH:D002114), hypertrophy (MESH:D006984), diabetic (MESH:D003920), leptin resistance (OMIM:614962), insulin resistance (MESH:D007333), fibrosis (MESH:D005355), inflammation (MESH:D007249), sarcopenia (MESH:D055948), injury to (MESH:D014947), atherogenic (MESH:D050197), muscle (MESH:D019042), cognitive decline (MESH:D003072), adiposity (MESH:D018205), obesity (MESH:D009765), neurologic disease (MESH:D020271)
- **Chemicals:** lactate (MESH:D019344), fatty acid (MESH:D005227), cholesterol ester (MESH:D002788), ester (MESH:D004952), triglyceride (MESH:D014280), MoTrPAC (-), glucose (MESH:D005947), glycosylphosphatidylinositol (MESH:D017261), iron (MESH:D007501), lipid (MESH:D008055)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Rattus norvegicus (brown rat, species) [taxon 10116], Homo sapiens (human, species) [taxon 9606], Rodentia (rodent, order) [taxon 9989], Macaca mulatta (rhesus macaque, species) [taxon 9544]

## Full text

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## Figures

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## References

134 references — full list in the complete paper: https://tomesphere.com/paper/PMC12921843/full.md

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Source: https://tomesphere.com/paper/PMC12921843