REFERENCES
1. Chow LS, Gerszten RE, Taylor JM, et al. Exerkines in health, resilience and disease. Nat Rev Endocrinol. 2022;18:273-89.
2. Song J, Cho ES, Kwon YR, Park JS, Nam JS, Kim Y. Human multi-tissue transcriptomics identifies galectin-1 and follistatin-like 1 as exerkines with distinct transcript-to-serum coupling after exercise. J Physiol. 2026;604:4815-33.
3. Sanford JA, Nogiec CD, Lindholm ME, et al. ; Molecular Transducers of Physical Activity Consortium. Molecular transducers of physical activity consortium (MoTrPAC): mapping the dynamic responses to exercise. Cell. 2020;181:1464-74.
4. Keshishian H, Many GM, Smith G, et al. ; MoTrPAC Study Group. Integrative multi-omics analysis of the human skeletal muscle response to endurance or resistance exercise: findings from the molecular transducers of physical activity consortium (MoTrPAC). bioRxiv 2026.
5. Amar D, Lindholm ME, Norrbom J, Wheeler MT, Rivas MA, Ashley EA. Time trajectories in the transcriptomic response to exercise - a meta-analysis. Nat Commun. 2021;12:3471.
6. Lee-Ødegård S, Hjorth M, Olsen T, et al. Serum proteomic profiling of physical activity reveals CD300LG as a novel exerkine with a potential causal link to glucose homeostasis. Elife. 2024;13:RP96535.
7. Maier T, Güell M, Serrano L. Correlation of mRNA and protein in complex biological samples. FEBS Lett. 2009;583:3966-73.
8. Wei W, Riley NM, Lyu X, et al. Organism-wide, cell-type-specific secretome mapping of exercise training in mice. Cell Metab. 2023;35:1261-79.e11.
9. Guzzoni V, Shrestha U, Kesler NJ, et al. The impact of exercise capacity on complex neuromuscular adaptations: a narrative review based on a rat model system selectively bred for low and high response to training. Compr Physiol. 2025;15:e70029.
