Comparison of muscle metabolomics between two Chinese horse breeds.
- Journal Article
Summary
The research article provides insights on the differing muscle metabolism of two Chinese horse breeds, the Guanzhong (GZ), and Ningqiang pony (NQ). Spartanly speaking, the researchers analyzed muscle glycogen and enzyme activities, as well as untargeted metabolomics, achieving significant findings regarding differential metabolites and their role in muscle development.
Objective and Methodology
The primary aim of this study was to investigate the distinct mechanisms controlling muscle metabolism in the GZ and NQ horses. These two horse breeds – GZ being athletic with a larger body and NQ mostly used for ornamental purposes with a lower body height – provide an exciting comparative study, not least due to their similar environment.
The researchers used the gluteus medius muscle of six horses from each breed to explore differentiated metabolites related to muscle development. This examination included analyzing muscle glycogen content and the activity of enzymes such as citrate synthase and hexokinase.
Findings and Analysis
As anticipated, the muscle’s glycogen content and citrate synthase and hexokinase activity were remarkably higher in the athletic GZ horses compared to the ornamental NQ horses. Following that, the researchers embarked on metabolite classification and differential analysis through both MS1 and MS2 ions.
- A total of 51,535 MS1 and 541 MS2 metabolites were identified that were able to segregate the two horse groups. Interestingly, approximately 40% of these metabolites were lipid and lipid-like molecules.
- Between the GZ and NQ horses, 13 significant metabolites were differentially detected, many related to glutathione (GSH) metabolism, taurine, and hypotaurine metabolism pathways.
- Out of these 13 metabolites, seven were also present in thoroughbred racing horses, drawing a link to metabolites associated with antioxidants, amino acids, and lipids important for the skeleton muscle development in horses.
Significance and Implications
This study demystifies the distinct muscle metabolism between GZ and NQ horses, shedding light on significant aspects of horse physiology and performance, especially for racing horses. The identified metabolites related to muscle development, such as those connected to antioxidants, amino acids, and lipids, turned out to be key players in the horses’ muscle development.
Findings from this research are invaluable for enhancing the routine maintenance and improving athletic performance of racing horses. Understanding the specific metabolites and their roles allows for more informed decisions about horse nutrition and training, leading to healthier and better-performing horses.
Cite This Article
Publication
Researcher Affiliations
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
- Centre d'Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, Toulouse, France.
- Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.
Conflict of Interest Statement
References
- Klein DJ, Anthony TG, McKeever KH. Metabolomics in equine sport and exercise.. J Anim Physiol Anim Nutr (Berl) 2021 Jan;105(1):140-148.
- Goldansaz SA, Guo AC, Sajed T, Steele MA, Plastow GS, Wishart DS. Livestock metabolomics and the livestock metabolome: A systematic review.. PLoS One 2017;12(5):e0177675.
- Liu X, Zhang Y, Li Y, Pan J, Wang D, Chen W, Zheng Z, He X, Zhao Q, Pu Y, Guan W, Han J, Orlando L, Ma Y, Jiang L. EPAS1 Gain-of-Function Mutation Contributes to High-Altitude Adaptation in Tibetan Horses.. Mol Biol Evol 2019 Nov 1;36(11):2591-2603.
- Wouters CP, Toquet MP, Renaud B, François AC, Fortier-Guillaume J, Marcillaud-Pitel C, Boemer F, De Tullio P, Richard EA, Votion DM. Metabolomic Signatures Discriminate Horses with Clinical Signs of Atypical Myopathy from Healthy Co-grazing Horses.. J Proteome Res 2021 Oct 1;20(10):4681-4692.
- Steelman SM, Johnson P, Jackson A, Schulze J, Chowdhary BP. Serum metabolomics identifies citrulline as a predictor of adverse outcomes in an equine model of gut-derived sepsis.. Physiol Genomics 2014 May 15;46(10):339-47.
- Luck MM, Le Moyec L, Barrey E, Triba MN, Bouchemal N, Savarin P, Robert C. Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics.. Front Physiol 2015;6:198.
- Mach N, Ramayo-Caldas Y, Clark A, Moroldo M, Robert C, Barrey E, López JM, Le Moyec L. Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses.. BMC Genomics 2017 Feb 17;18(1):187.
- de Meeûs d'Argenteuil C, Boshuizen B, Vidal Moreno de Vega C, Leybaert L, de Maré L, Goethals K, De Spiegelaere W, Oosterlinck M, Delesalle C. Comparison of Shifts in Skeletal Muscle Plasticity Parameters in Horses in Three Different Muscles, in Answer to 8 Weeks of Harness Training.. Front Vet Sci 2021;8:718866.
- Cloteau C, Dervilly G, Kaabia Z, Bagilet F, Delcourt V, Loup B, Guitton Y, Royer AL, Monteau F, Garcia P, Popot MA, Le Bizec B, Bailly-Chouriberry L. From a non-targeted metabolomics approach to a targeted biomarkers strategy to highlight testosterone abuse in equine. Illustration of a methodological transfer between platforms and laboratories.. Drug Test Anal 2022 May;14(5):864-878.
- Keen B, Cawley A, Reedy B, Fu S. Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.. Drug Test Anal 2022 May;14(5):794-807.
- Stojiljkovic N, Leroux F, Bubanj S, Popot MA, Paris A, Tabet JC, Junot C. Tracking main environmental factors masking a minor steroidal doping effect using metabolomic analysis of horse urine by liquid chromatography-high-resolution mass spectrometry.. Eur J Mass Spectrom (Chichester) 2019 Jun;25(3):339-353.
- Klein DJ, McKeever KH, Mirek ET, Anthony TG. Metabolomic Response of Equine Skeletal Muscle to Acute Fatiguing Exercise and Training.. Front Physiol 2020;11:110.
- Ohmura H, Mukai K, Takahashi Y, Takahashi T. Metabolomic analysis of skeletal muscle before and after strenuous exercise to fatigue.. Sci Rep 2021 May 27;11(1):11261.
- Middleton RP, Lacroix S, Scott-Boyer MP, Dordevic N, Kennedy AD, Slusky AR, Carayol J, Petzinger-Germain C, Beloshapka A, Kaput J. Metabolic Differences between Dogs of Different Body Sizes.. J Nutr Metab 2017;2017:4535710.
- Brookes PS, Jimenez AG. Metabolomics of aging in primary fibroblasts from small and large breed dogs.. Geroscience 2021 Aug;43(4):1683-1696.
- Shi K, Zhao Q, Shao M, Duan Y, Li D, Lu Y, Tang Y, Feng C. Untargeted Metabolomics Reveals the Effect of Selective Breeding on the Quality of Chicken Meat.. Metabolites 2022 Apr 19;12(5).
- Liao X, Shi X, Hu H, Han X, Jiang K, Liu Y, Xiong G. Comparative Metabolomics Analysis Reveals the Unique Nutritional Characteristics of Breed and Feed on Muscles in Chinese Taihe Black-Bone Silky Fowl.. Metabolites 2022 Sep 27;12(10).
- Ritota M, Casciani L, Failla S, Valentini M. HRMAS-NMR spectroscopy and multivariate analysis meat characterisation.. Meat Sci 2012 Dec;92(4):754-61.
- Zhu C, Petracci M, Li C, Fiore E, Laghi L. An Untargeted Metabolomics Investigation of Jiulong Yak (Bos grunniens) Meat by (1)H-NMR.. Foods 2020 Apr 12;9(4).
- Lisuzzo A, Bonelli F, Sgorbini M, Nocera I, Cento G, Mazzotta E, Turini L, Martini M, Salari F, Morgante M, Badon T, Fiore E. Differences of the Plasma Total Lipid Fraction from Pre-Foaling to Post-Foaling Period in Donkeys.. Animals (Basel) 2022 Jan 26;12(3).
- Lisuzzo A, Laghi L, Fiore F, Harvatine K, Mazzotta E, Faillace V, Spissu N, Zhu C, Moscati L, Fiore E. Evaluation of the metabolomic profile through (1)H-NMR spectroscopy in ewes affected by postpartum hyperketonemia.. Sci Rep 2022 Oct 1;12(1):16463.
- Mukai K, Kitaoka Y, Takahashi Y, Takahashi T, Takahashi K, Ohmura H. Moderate-intensity training in hypoxia improves exercise performance and glycolytic capacity of skeletal muscle in horses.. Physiol Rep 2021 Dec;9(23):e15145.
- He Y, Nadeau J, Reed S, Hoagland T, Bushmich S, Aborn S, Jones AK, Martin D. The Effect of Season on Muscle Growth, Fat Deposition, Travel Patterns, and Hoof Growth of Domestic Young Horses.. J Equine Vet Sci 2020 Feb;85:102817.
- Raspa F, Dinardo FR, Vervuert I, Bergero D, Bottero MT, Pattono D, Dalmasso A, Vinassa M, Valvassori E, Bruno E, De Palo P, Valle E. A Fibre- vs. cereal grain-based diet: Which is better for horse welfare? Effects on intestinal permeability, muscle characteristics and oxidative status in horses reared for meat production.. J Anim Physiol Anim Nutr (Berl) 2022 Mar;106(2):313-326.
- Liu X, Zhang Y, Liu W, Li Y, Pan J, Pu Y, Han J, Orlando L, Ma Y, Jiang L. A single-nucleotide mutation within the TBX3 enhancer increased body size in Chinese horses.. Curr Biol 2022 Jan 24;32(2):480-487.e6.
- Zeng L, Chen N, Yao Y, Dang R, Chen H, Lei C. Analysis of Genetic Diversity and Structure of Guanzhong Horse Using Microsatellite Markers.. Anim Biotechnol 2019 Jan;30(1):95-98.
- Pu Y, Zhang Y, Zhang T, Han J, Ma Y, Liu X. Identification of Novel lncRNAs Differentially Expressed in Placentas of Chinese Ningqiang Pony and Yili Horse Breeds.. Animals (Basel) 2020 Jan 11;10(1).
- Zhang T, Lu H, Cao L, Zeng Z. Genetic diversity of microsatellite on ningqiang pony. Hubei Agricultural Sciences (2008) 868–70.
- National Livestock and Poultry Genetic Resources . (2011). Animal genetic resources in China-Horses Donkeys. Camels: China Agricultural Press.
- Kearns CF, McKeever KH, Abe T. Overview of horse body composition and muscle architecture: implications for performance.. Vet J 2002 Nov;164(3):224-34.
- Rivero JL, Hill EW. Skeletal muscle adaptations and muscle genomics of performance horses.. Vet J 2016 Mar;209:5-13.
- Gika HG, Theodoridis GA, Plumb RS, Wilson ID. Current practice of liquid chromatography-mass spectrometry in metabolomics and metabonomics.. J Pharm Biomed Anal 2014 Jan;87:12-25.
- Ribbenstedt A, Ziarrusta H, Benskin JP. Development, characterization and comparisons of targeted and non-targeted metabolomics methods.. PLoS One 2018;13(11):e0207082.
- Otter D, Cao M, Lin HM, Fraser K, Edmunds S, Lane G, Rowan D. Identification of urinary biomarkers of colon inflammation in IL10-/- mice using Short-Column LCMS metabolomics.. J Biomed Biotechnol 2011;2011:974701.
- Myers OD, Sumner SJ, Li S, Barnes S, Du X. Detailed Investigation and Comparison of the XCMS and MZmine 2 Chromatogram Construction and Chromatographic Peak Detection Methods for Preprocessing Mass Spectrometry Metabolomics Data.. Anal Chem 2017 Sep 5;89(17):8689-8695.
- Wu IL, Turnipseed SB, Storey JM, Andersen WC, Madson MR. Comparison of data acquisition modes with Orbitrap high-resolution mass spectrometry for targeted and non-targeted residue screening in aquacultured eel.. Rapid Commun Mass Spectrom 2020 Apr 15;34(7):e8642.
- Thies C. Insight into traditional Chinese medicine obtained from an October 2004 visit to China organized by the People to People Ambassador Program.. Pharm Dev Technol 2005;10(4):447-50.
- Bergh A, Nordlöf H, Essén-Gustavsson B. Evaluation of neuromuscular electrical stimulation on fibre characteristics and oxidative capacity in equine skeletal muscles.. Equine Vet J Suppl 2010 Nov;(38):671-5.
- Kitaoka Y, Mukai K, Aida H, Hiraga A, Masuda H, Takemasa T, Hatta H. Effects of high-intensity training on lipid metabolism in Thoroughbreds.. Am J Vet Res 2012 Nov;73(11):1813-8.
- Smith CA, Want EJ, O'Maille G, Abagyan R, Siuzdak G. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.. Anal Chem 2006 Feb 1;78(3):779-87.
- Adusumilli R, Mallick P. Data Conversion with ProteoWizard msConvert.. Methods Mol Biol 2017;1550:339-368.
- Kessner D, Chambers M, Burke R, Agus D, Mallick P. ProteoWizard: open source software for rapid proteomics tools development.. Bioinformatics 2008 Nov 1;24(21):2534-6.
- Kuhl C, Tautenhahn R, Böttcher C, Larson TR, Neumann S. CAMERA: an integrated strategy for compound spectra extraction and annotation of liquid chromatography/mass spectrometry data sets.. Anal Chem 2012 Jan 3;84(1):283-9.
- Wen B, Mei Z, Zeng C, Liu S. metaX: a flexible and comprehensive software for processing metabolomics data.. BMC Bioinformatics 2017 Mar 21;18(1):183.
- Shen B, Yi X, Sun Y, Bi X, Du J, Zhang C, Quan S, Zhang F, Sun R, Qian L, Ge W, Liu W, Liang S, Chen H, Zhang Y, Li J, Xu J, He Z, Chen B, Wang J, Yan H, Zheng Y, Wang D, Zhu J, Kong Z, Kang Z, Liang X, Ding X, Ruan G, Xiang N, Cai X, Gao H, Li L, Li S, Xiao Q, Lu T, Zhu Y, Liu H, Chen H, Guo T. Proteomic and Metabolomic Characterization of COVID-19 Patient Sera.. Cell 2020 Jul 9;182(1):59-72.e15.
- Coletto E, Latousakis D, Pontifex MG, Crost EH, Vaux L, Perez Santamarina E, Goldson A, Brion A, Hajihosseini MK, Vauzour D, Savva GM, Juge N. The role of the mucin-glycan foraging Ruminococcus gnavus in the communication between the gut and the brain.. Gut Microbes 2022 Jan-Dec;14(1):2073784.
- Liang L, Rasmussen MH, Piening B, Shen X, Chen S, Röst H, Snyder JK, Tibshirani R, Skotte L, Lee NC, Contrepois K, Feenstra B, Zackriah H, Snyder M, Melbye M. Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women.. Cell 2020 Jun 25;181(7):1680-1692.e15.
- Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, Wishart DS. ClassyFire: automated chemical classification with a comprehensive, computable taxonomy.. J Cheminform 2016;8:61.
- Aoki-Kinoshita KF, Kanehisa M. Gene annotation and pathway mapping in KEGG.. Methods Mol Biol 2007;396:71-91.
- Horai H, Arita M, Kanaya S, Nihei Y, Ikeda T, Suwa K, Ojima Y, Tanaka K, Tanaka S, Aoshima K, Oda Y, Kakazu Y, Kusano M, Tohge T, Matsuda F, Sawada Y, Hirai MY, Nakanishi H, Ikeda K, Akimoto N, Maoka T, Takahashi H, Ara T, Sakurai N, Suzuki H, Shibata D, Neumann S, Iida T, Tanaka K, Funatsu K, Matsuura F, Soga T, Taguchi R, Saito K, Nishioka T. MassBank: a public repository for sharing mass spectral data for life sciences.. J Mass Spectrom 2010 Jul;45(7):703-14.
- Kind T, Liu KH, Lee DY, DeFelice B, Meissen JK, Fiehn O. LipidBlast in silico tandem mass spectrometry database for lipid identification.. Nat Methods 2013 Aug;10(8):755-8.
- Pang Z, Chong J, Zhou G, de Lima Morais DA, Chang L, Barrette M, Gauthier C, Jacques PÉ, Li S, Xia J. MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.. Nucleic Acids Res 2021 Jul 2;49(W1):W388-W396.
- Zsoldos RR, Voegele A, Krueger B, Schroeder U, Weber A, Licka TF. Long term consistency and location specificity of equine gluteus medius muscle activity during locomotion on the treadmill.. BMC Vet Res 2018 Apr 6;14(1):126.
- Vigh-Larsen JF, Ørtenblad N, Spriet LL, Overgaard K, Mohr M. Muscle Glycogen Metabolism and High-Intensity Exercise Performance: A Narrative Review.. Sports Med 2021 Sep;51(9):1855-1874.
- Valberg SJ, Macleay JM, Billstrom JA, Hower-Moritz MA, Mickelson JR. Skeletal muscle metabolic response to exercise in horses with 'tying-up' due to polysaccharide storage myopathy.. Equine Vet J 1999 Jan;31(1):43-7.
- Vaz FM, Wanders RJ. Carnitine biosynthesis in mammals.. Biochem J 2002 Feb 1;361(Pt 3):417-29.
- Brevetti G, Fanin M, De Amicis V, Carrozzo R, Di Lello F, Martone VD, Angelini C. Changes in skeletal muscle histology and metabolism in patients undergoing exercise deconditioning: effect of propionyl-L-carnitine.. Muscle Nerve 1997 Sep;20(9):1115-20.
- Ma Y, Maruta H, Sun B, Wang C, Isono C, Yamashita H. Effects of long-term taurine supplementation on age-related changes in skeletal muscle function of Sprague-Dawley rats.. Amino Acids 2021 Feb;53(2):159-170.
- Seidel U, H P, Rimbach G. Taurine: A Regulator of Cellular Redox Homeostasis and Skeletal Muscle Function.. Mol Nutr Food Res 2019 Aug;63(16):e1800569.
- Vargiu R, Licheri D, Carcassi AM, Naimi S, Collu M, Littarru GP, Mancinelli R. Enhancement of muscular performance by a coformulation of propionyl-L-carnitine, coenzyme Q10, nicotinamide, riboflavin and pantothenic acid in the rat.. Physiol Behav 2002 Jun 1;76(2):257-63.
- Carbonin PU, Ramacci MT, Pahor M, Di Gennaro M, Gambassi G Jr, Lo Giudice P, Sgadari A, Pacifici L. Antiarrhythmic effect of L-propionylcarnitine in isolated cardiac preparations.. Cardioscience 1991 Jun;2(2):109-14.
- Fischer M, Keller J, Hirche F, Kluge H, Ringseis R, Eder K. Activities of gamma-butyrobetaine dioxygenase and concentrations of carnitine in tissues of pigs.. Comp Biochem Physiol A Mol Integr Physiol 2009 Jul;153(3):324-31.
- Hoppel C. The role of carnitine in normal and altered fatty acid metabolism.. Am J Kidney Dis 2003 Apr;41(4 Suppl 4):S4-12.
- Siliprandi N, Di Lisa F, Menabó R, Ciman M, Sartorelli L. Transport and functions of carnitine in muscles.. J Clin Chem Clin Biochem 1990 May;28(5):303-6.
- Ferrari R, Merli E, Cicchitelli G, Mele D, Fucili A, Ceconi C. Therapeutic effects of L-carnitine and propionyl-L-carnitine on cardiovascular diseases: a review.. Ann N Y Acad Sci 2004 Nov;1033:79-91.
- Brevetti G, Perna S, Sabbá C, Martone VD, Condorelli M. Propionyl-L-carnitine in intermittent claudication: double-blind, placebo-controlled, dose titration, multicenter study.. J Am Coll Cardiol 1995 Nov 15;26(6):1411-6.
- Tomin T, Schittmayer M, Birner-Gruenberger R. Addressing Glutathione Redox Status in Clinical Samples by Two-Step Alkylation with N-ethylmaleimide Isotopologues.. Metabolites 2020 Feb 16;10(2).
- Wen C, Li F, Zhang L, Duan Y, Guo Q, Wang W, He S, Li J, Yin Y. Taurine is Involved in Energy Metabolism in Muscles, Adipose Tissue, and the Liver.. Mol Nutr Food Res 2019 Jan;63(2):e1800536.
- Veeravalli S, Phillips IR, Freire RT, Varshavi D, Everett JR, Shephard EA. Flavin-Containing Monooxygenase 1 Catalyzes the Production of Taurine from Hypotaurine.. Drug Metab Dispos 2020 May;48(5):378-385.
- Warskulat U, Flögel U, Jacoby C, Hartwig HG, Thewissen M, Merx MW, Molojavyi A, Heller-Stilb B, Schrader J, Häussinger D. Taurine transporter knockout depletes muscle taurine levels and results in severe skeletal muscle impairment but leaves cardiac function uncompromised.. FASEB J 2004 Mar;18(3):577-9.
- Hamilton EJ, Berg HM, Easton CJ, Bakker AJ. The effect of taurine depletion on the contractile properties and fatigue in fast-twitch skeletal muscle of the mouse.. Amino Acids 2006 Oct;31(3):273-8.
- Ito T, Oishi S, Takai M, Kimura Y, Uozumi Y, Fujio Y, Schaffer SW, Azuma J. Cardiac and skeletal muscle abnormality in taurine transporter-knockout mice.. J Biomed Sci 2010 Aug 24;17 Suppl 1(Suppl 1):S20.
- Ito T, Yoshikawa N, Inui T, Miyazaki N, Schaffer SW, Azuma J. Tissue depletion of taurine accelerates skeletal muscle senescence and leads to early death in mice.. PLoS One 2014;9(9):e107409.
- Barbiera A, Sorrentino S, Lepore E, Carfì A, Sica G, Dobrowolny G, Scicchitano BM. Taurine Attenuates Catabolic Processes Related to the Onset of Sarcopenia.. Int J Mol Sci 2020 Nov 23;21(22).
Citations
This article has been cited 4 times.- Wang T, Meng J, Peng X, Huang J, Huang Y, Yuan X, Li X, Yang X, Chang X, Zeng Y, Yao X. Metabolomics analysis and mRNA/miRNA profiling reveal potential cardiac regulatory mechanisms in Yili racehorses under different training regimens. PLoS One 2025;20(7):e0322468.
- Shah SAUR, Tang B, He D, Ahmad M, Nabi G, Wang C, Kou Z, Wang K, Hao Y. Seasonal Breeding Alters Fecal Microbiota and Metabolome in the Male Captive Yangtze Finless Porpoise (Neophocaena asiaeorientalis asiaeorientalis). Ecol Evol 2025 Jun;15(6):e71611.
- Wang J, Feng Y, Xu S, Tenzin N, Han H, Gong D, Liu F, Sun Y, Liu S. Non-targeted LC-MS metabolomics reveals serum metabolites for high-altitude adaptation in Tibetan donkeys. Sci Rep 2025 Jan 2;15(1):46.
- Vidal Moreno de Vega C, de Meeûs d'Argenteuil C, Boshuizen B, De Mare L, Gansemans Y, Van Nieuwerburgh F, Deforce D, Goethals K, De Spiegelaere W, Leybaert L, Verdegaal EJMM, Delesalle C. Baselining physiological parameters in three muscles across three equine breeds. What can we learn from the horse?. Front Physiol 2024;15:1291151.