Methodologies to Identify Metabolic Pathway Differences Between Emaciated and Moderately Conditioned Horses: A Review of Multiple Gene Expression Techniques.
Abstract: Starvation in horses presents critical welfare, economic, and management challenges with underlying molecular mechanisms of metabolic modification and recovery left poorly defined. Prolonged caloric deprivation induces significant systemic shifts in carbohydrate, protein, and lipid metabolism, reflected in coordinated changes in tissue-specific gene expression. This review synthesizes current knowledge on equine metabolic responses to starvation, emphasizing pathways found through RNA sequencing (RNA-seq) and real-time quantitative polymerase chain reaction (RT-qPCR) studies. Molecular investigations using RNA-seq and RT-qPCR have provided insight into transcriptional reprogramming during starvation and subsequent refeeding. Shifts in gene expression reflect the metabolic transition from carbohydrate dependence to lipid use, suppression of anabolic signaling, and activation of proteolytic pathways. However, interpretation of these data requires caution, as factors such as post-mortem interval, tissue handling, and euthanasia methods particularly the use of sodium barbiturates can influence transcript stability and abundance, potentially confounding results. The literature shows that starvation-induced molecular changes are not uniform across tissues, with skeletal muscle, liver, and adipose tissue showing distinct transcriptional signatures and variable recovery patterns during refeeding. Cross-species comparisons with hibernation, caloric restriction, and cachexia models provide context for understanding these changes, though equine-specific studies remain limited. Identified gaps include the scarcity of longitudinal data, inconsistent tissue sampling protocols, and lack of standardized reference genes for transcriptomic analyses in horses. Addressing these limitations will improve the accuracy of molecular evaluations and enhance our ability to predict recovery trajectories. A more comprehensive understanding of systemic and tissue-specific responses to starvation will inform evidence-based rehabilitation strategies, reduce the risk of refeeding syndrome, and improve survival and welfare outcomes for affected horses.
Publication Date: 2025-10-10 PubMed ID: 41153862PubMed Central: PMC12560892DOI: 10.3390/ani15202933Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
- Review
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
Overview
- This review article examines the molecular and genetic changes occurring in horses experiencing starvation compared to those in moderate condition.
- It focuses on gene expression techniques, namely RNA sequencing (RNA-seq) and real-time quantitative polymerase chain reaction (RT-qPCR), to understand metabolic pathway shifts and recovery processes.
Introduction to the Research Context
- Starvation in horses presents serious challenges relating to welfare, economics, and management.
- The metabolic processes affected during starvation involve carbohydrate, protein, and lipid metabolism.
- Changes during starvation are reflected in gene expression across different tissues, indicating systemic metabolic shifts.
Gene Expression Techniques Used
- RNA sequencing (RNA-seq): A technique to quantify RNA levels across the entire transcriptome, providing a broad overview of gene expression changes.
- Real-time quantitative polymerase chain reaction (RT-qPCR): A targeted approach to measure the relative expression levels of specific genes with high sensitivity.
- Both methods have helped identify transcriptional reprogramming during starvation and refeeding phases.
Metabolic Pathway Findings
- Starvation shifts metabolism:
- From reliance on carbohydrates to increased lipid utilization for energy.
- Anabolic pathways (responsible for growth and tissue building) are suppressed.
- Proteolytic pathways (breaking down proteins for energy) are activated.
- Gene expression patterns demonstrate these metabolic transitions across tissues.
Technical Considerations and Confounding Factors
- Interpretations of gene expression data require caution due to several confounders:
- Post-mortem interval – time between death and tissue sampling can alter transcript stability.
- Tissue handling techniques – methods used in collecting and preserving tissues can affect RNA quality.
- Euthanasia protocols – especially use of sodium barbiturates can influence transcript abundance and confound results.
Tissue-Specific Responses
- Different tissues exhibit distinct gene expression responses to starvation:
- Skeletal muscle: Shows changes related to increased protein breakdown and altered energy metabolism.
- Liver: Exhibits transcriptional activity related to gluconeogenesis, lipid metabolism, and detoxification.
- Adipose tissue: Reflects shifts in lipid mobilization and storage gene expression.
- Recovery during refeeding varies by tissue, indicating different rates and mechanisms of metabolic normalization.
Comparative Context
- Cross-species comparisons have been made with:
- Hibernating animals, which undergo natural metabolic shifts.
- Caloric restriction models.
- Cachexia (wasting syndrome) in other species.
- These comparisons help contextualize the equine-specific data but highlight the limited availability of focused equine studies.
Limitations and Gaps Identified
- Scarcity of longitudinal studies tracking gene expression changes over time in the same animals.
- Lack of standardized protocols for tissue sampling across different research groups.
- Absence of consensus on reference genes for normalizing transcriptomic data specifically in horses.
Implications and Future Directions
- Improving understanding of molecular responses to starvation will assist in designing better rehabilitation and management strategies.
- Insights may reduce the risk of complications like refeeding syndrome by informing controlled nutritional recovery.
- Future research needs include:
- Developing standardized sampling and analysis protocols.
- Conducting longitudinal and multi-tissue studies.
- Establishing suitable reference genes for equine gene expression studies.
- Ultimately, these advances will enhance welfare and survival outcomes for emaciated horses.
Cite This Article
APA
Austin MMP, Ivey JLZ, Shepherd EA, Myer PR.
(2025).
Methodologies to Identify Metabolic Pathway Differences Between Emaciated and Moderately Conditioned Horses: A Review of Multiple Gene Expression Techniques.
Animals (Basel), 15(20), 2933.
https://doi.org/10.3390/ani15202933 Publication
Researcher Affiliations
- Department of Animal Science, University of Tennessee, 2506 River Drive, Knoxville, TN 37996, USA.
- Department of Animal Science, University of Tennessee, 2506 River Drive, Knoxville, TN 37996, USA.
- Department of Animal Science, University of Tennessee, 2506 River Drive, Knoxville, TN 37996, USA.
- Department of Animal Science, University of Tennessee, 2506 River Drive, Knoxville, TN 37996, USA.
Conflict of Interest Statement
The authors declare no conflicts of interest.
References
This article includes 107 references
- Main S.C., Brown L.P., Melvin K.R., Campagna S.R., Voy B.H., Castro H.F., Strickland L.G., Hines M.T., Jacobs R.D., Gordon M.E.. Metabolomic Profiles in Starved Light Breed Horses during the Refeeding Process. Animals 2022;12:2527.
- Whiting T.L., Salmon R.H., Wruck G.C.. Chronically starved horses: Predicting survival, economic, and ethical considerations. Can. Vet. J. 2005;46:320–324.
- Schneider L.G., Cox Self A., Hines M.T., Lin-Zambito Ivey J.. Clinical Factors Associated with Survival Outcomes in Starved Equids: A Retrospective Case Series. J. Equine Vet. Sci. 2021;101:103370.
- Dugdale A.H.A., Grove-White D., Curtis G.C., Harris P.A., Argo C.M.. Body condition scoring as a predictor of body fat in horses and ponies. Vet. J. 2012;194:173–178.
- Johns I.. Veterinary management of starved and neglected horses. Practice 2014;36:144–152.
- Lenz T.R.. The Unwanted Horse in the United States: An Overview of the Issue. J. Equine Vet. Sci. 2009;29:253–258.
- Wilson J., Fitzpatrick D.. How to manage starved horses and effectively work with humane and law enforcement officials. Proceedings of the Lexington American Association of Equine Practitioners (AAEP); Denver, CO, USA. 4 December 2004; pp. 429–432.
- Kronfeld D.S.. Starvation and malnutrition of horses: Recognition and treatment. J. Equine Vet. Sci. 1993;13:298–304.
- Holcomb K.E., Stull C.L., Kass P.H.. Unwanted horses: The role of nonprofit equine rescue and sanctuary organizations. J. Anim. Sci. 2010;88:4142–4150.
- Argo C.M.. 29—Feeding thin and starved horses. In: Geor R.J., Harris P.A., Coenen M., editors. Equine Applied and Clinical Nutrition. W.B. Saunders; Philadelphia, PA, USA: 2013. pp. 503–511.
- Finn P.F., Dice J.F.. Proteolytic and lipolytic responses to starvation. Nutrition 2006;22:830–844.
- Storey K.B., Storey J.M.. Life in the Cold. Springer; Berlin/Heidelberg, Germany: 2000. Gene Expression and Protein Adaptations in Mammalian Hibernation; pp. 303–313.
- Wu P., Blair P.V., Sato J., Jaskiewicz J., Popov K.M., Harris R.A.. Starvation Increases the Amount of Pyruvate Dehydrogenase Kinase in Several Mammalian Tissues. Arch. Biochem. Biophys. 2000;381:1–7.
- Galves M., Sperber M., Amer-Sarsour F., Elkon R., Ashkenazi A.. Transcriptional profiling of the response to starvation and fattening reveals differential regulation of autophagy genes in mammals. Proc. Biol. Sci. 2023;290:20230407.
- Witham C.L., Stull C.L.. Metabolic responses of chronically starved horses to refeeding with three isoenergetic diets. J. Am. Vet. Med. Assoc. 1998;212:691–696.
- Muñoz A, Riber C, Trigo P, Castejón F. Hematology and Clinical Pathology Data in Chronically Starved Horses. J. Equine Vet. Sci. 2010;30:581–589.
- Capomaccio S, Vitulo N, Verini-Supplizi A, Barcaccia G, Albiero A, D’Angelo M, Campagna D, Valle G, Felicetti M, Silvestrelli M. RNA Sequencing of the Exercise Transcriptome in Equine Athletes. PLoS ONE 2014;8:e83504.
- Dai X, Shen L. Advances and Trends in Omics Technology Development. Front. Med. 2022;9:911861.
- Stratton-Phelps M, Remillard R L. Refeeding and Assisted Feeding of Horses. .
- Friedli N, Stanga Z, Sobotka L, Culkin A, Kondrup J, Laviano A, Mueller B, Schuetz P. Revisiting the refeeding syndrome: Results of a systematic review. Nutrition 2017;35:151–160.
- Mehanna H M, Moledina J, Travis J. Refeeding syndrome: What it is, and how to prevent and treat it. BMJ 2008;336:1495.
- Jarvis N, McKenzie H C. Nutritional Considerations when Dealing with an Underweight Adult or Senior Horse. Vet. Clin. N. Am. Equine Pract. 2021;37:89–110.
- Dulloo A G. Physiology of weight regain: Lessons from the classic Minnesota Starvation Experiment on human body composition regulation. Obes. Rev. 2021;22:e13189.
- Vikman P, Fadista J, Oskolkov N. RNA sequencing: Current and prospective uses in metabolic research. J. Mol. Endocrinol. 2014;53:R93–R101.
- Jawahar J, McCumber A W, Lickwar C R, Amoroso C R, de la Torre Canny S G, Wong S, Morash M, Thierer J H, Farber S A, Bohannan B J M. Starvation causes changes in the intestinal transcriptome and microbiome that are reversed upon refeeding. BMC Genom. 2022;23:225.
- Hampton M, Melvin R G, Kendall A H, Kirkpatrick B R, Peterson N, Andrews M T. Deep Sequencing the Transcriptome Reveals Seasonal Adaptive Mechanisms in a Hibernating Mammal. PLoS ONE 2011;6:e27021.
- Faherty S L, Villanueva-Cañas J L, Klopfer P H, Albà M M, Yoder A D. Gene Expression Profiling in the Hibernating Primate, Cheirogaleus Medius. Genome Biol. Evol. 2016;8:2413–2426.
- Fahlman A, Storey J M, Storey K B. Gene Up-Regulation in Heart during Mammalian Hibernation. Cryobiology 2000;40:332–342.
- Andrews M T. Molecular interactions underpinning the phenotype of hibernation in mammals. J. Exp. Biol. 2019;222:jeb160606.
- Andrews M T. Genes controlling the metabolic switch in hibernating mammals. Biochem. Soc. Trans. 2004;32:1021–1024.
- Püschel F, Favaro F, Redondo-Pedraza J, Lucendo E, Iurlaro R, Marchetti S, Majem B, Eldering E, Nadal E, Ricci J.E. Starvation and antimetabolic therapy promote cytokine release and recruitment of immune cells.. Proc. Natl. Acad. Sci. USA 2020;117:9932–9941.
- Saklatvala J, Dean J, Clark A. Control of the expression of inflammatory response genes.. Biochem. Soc. Symp. 2003;70:95–106.
- Ren J.M, Semenkovich C.F, Gulve E.A, Gao J, Holloszy J.O. Exercise induces rapid increases in GLUT4 expression, glucose transport capacity, and insulin-stimulated glycogen storage in muscle.. J. Biol. Chem. 1994;269:14396–14401.
- Krook A, Wallberg-Henriksson H, Zierath J.R. Sending the signal: Molecular mechanisms regulating glucose uptake.. Med. Sci. Sports Exerc. 2004;36:1212–1217.
- Holness M.J, Sugden M.C. Regulation of pyruvate dehydrogenase complex activity by reversible phosphorylation.. Biochem. Soc. Trans. 2003;31:1143–1151.
- Connaughton S, Chowdhury F, Attia R.R, Song S, Zhang Y, Elam M.B, Cook G.A, Park E.A. Regulation of pyruvate dehydrogenase kinase isoform 4 (PDK4) gene expression by glucocorticoids and insulin.. Mol. Cell. Endocrinol. 2010;315:159–167.
- Barthel A, Schmoll D. Novel concepts in insulin regulation of hepatic gluconeogenesis.. Am. J. Physiol. Endocrinol. Metab. 2003;285:E685–E692.
- Bodine S.C, Latres E, Baumhueter S, Lai V.K, Nunez L, Clarke B.A, Poueymirou W.T, Panaro F.J, Na E, Dharmarajan K. Identification of ubiquitin ligases required for skeletal muscle atrophy.. Science 2001;294:1704–1708.
- Schlaepfer I.R, Joshi M. CPT1A-mediated Fat Oxidation, Mechanisms, and Therapeutic Potential.. Endocrinology 2020;161:bqz046.
- Mason E, Hindmarch C.C.T, Dunham-Snary K.J. Medium-chain Acyl-COA dehydrogenase deficiency: Pathogenesis, diagnosis, and treatment.. Endocrinol. Diabetes Metab. 2023;6:e385.
- Kurtz D.M, Rinaldo P, Rhead W.J, Tian L, Millington D.S, Vockley J, Hamm D.A, Brix A.E, Lindsey J.R, Pinkert C.A. Targeted disruption of mouse long-chain acyl-CoA dehydrogenase gene reveals crucial roles for fatty acid oxidation.. Proc. Natl. Acad. Sci. USA 1998;95:15592–15597.
- Overmyer K.A, Thonusin C, Qi N.R, Burant C.F, Evans C.R. Impact of Anesthesia and Euthanasia on Metabolomics of Mammalian Tissues: Studies in a C57BL/6J Mouse Model.. PLoS ONE 2015;10:e0117232.
- Mohamed A.S, Hosney M, Bassiony H, Hassanein S.S, Soliman A.M, Fahmy S.R, Gaafar K. Sodium pentobarbital dosages for exsanguination affect biochemical, molecular and histological measurements in rats.. Sci. Rep. 2020;10:378.
- O’Sullivan S, Wang J, Radomski M.W, Gilmer J.F, Medina C. Novel Barbiturate-Nitrate Compounds Inhibit the Upregulation of Matrix Metalloproteinase-9 Gene Expression in Intestinal Inflammation through a cGMP-Mediated Pathway.. Biomolecules 2020;10:808.
- Löscher W, Rogawski M.A. How theories evolved concerning the mechanism of action of barbiturates.. Epilepsia 2012;53:12–25.
- Grieves J, Dick E.J, Schlabritz-Loutsevitch N, Butler S.D, Leland M, Price S.E, Schmidt C.R, Nathanielsz P, Hubbard G.B. Barbiturate euthanasia solution-induced tissue artifact in nonhuman primates.. J. Med. Primatol. 2008;37:154–161.
- Chakkingal Bhaskaran B, Meyermans R, Gorssen W, Maes G, Janssens S, Buys N. A Comparative Study on the Effect of Euthanasia Methods and Sample Storage Conditions on RNA Yield and Quality in Porcine Tissues.. Animals 2023;13:698.
- Otis J.P, Ackermann L.W, Denning G.M, Carey H.V. Identification of qRT-PCR reference genes for analysis of opioid gene expression in a hibernator.. J. Comp. Physiol. B 2010;180:619–629.
- Bogaert L, Van Poucke M, De Baere C, Peelman L, Gasthuys F, Martens A. Selection of a set of reliable reference genes for quantitative real-time PCR in normal equine skin and in equine sarcoids.. BMC Biotechnol. 2006;6:24.
- Gong H, Sun L, Chen B, Han Y, Pang J, Wu W, Qi R, Zhang T.M. Evaluation of candidate reference genes for RT-qPCR studies in three metabolism related tissues of mice after caloric restriction.. Sci. Rep. 2016;6:38513.
- Wang Z, Gerstein M, Snyder M. RNA-Seq: A revolutionary tool for transcriptomics.. Nat. Rev. Genet. 2009;10:57–63.
- Svec D, Tichopad A, Novosadova V, Pfaffl M.W, Kubista M. How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments.. Biomol. Detect. Quantif. 2015;3:9–16.
- Stefaniuk M, Ropka-Molik K. RNA sequencing as a powerful tool in searching for genes influencing health and performance traits of horses.. J. Appl. Genet. 2016;57:199–206.
- Raspa F, Chessa S, Bergero D, Sacchi P, Ferrocino I, Cocolin L, Corvaglia M.R, Moretti R, Cavallini D, Valle E. Microbiota characterization throughout the digestive tract of horses fed a high-fiber vs. a high-starch diet.. Front. Vet. Sci. 2024;11:1386135.
- Hirsch C.D, Springer N.M, Hirsch C.N. Genomic limitations to RNA sequencing expression profiling.. Plant J. 2015;84:491–503.
- Bonadio R.S, Nunes L.B, Moretti P.N.S, Mazzeu J.F, Cagnin S, Pic-Taylor A, de Oliveira S.F. Insights into how environment shapes post-mortem RNA transcription in mouse brain.. Sci. Rep. 2021;11:13008.
- Sharif-Islam M, van der Werf J.H.J, Henryon M, Chu T.T, Wood B.J, Hermesch S. Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs.. Genet. Sel. Evol. 2024;56:65.
- Ferreira P.G, Muñoz-Aguirre M, Reverter F, Sá Godinho C.P, Sousa A, Amadoz A, Sodaei R, Hidalgo M.R, Pervouchine D, Carbonell-Caballero J. The effects of death and post-mortem cold ischemia on human tissue transcriptomes.. Nat. Commun. 2018;9:490.
- Javan G.T, Can I, Finley S.J, Soni S. The apoptotic thanatotranscriptome associated with the liver of cadavers.. Forensic Sci. Med. Pathol. 2015;11:509–516.
- Javan G.T, Hanson E, Finley S.J, Visonà S.D, Osculati A, Ballantyne J. Identification of cadaveric liver tissues using thanatotranscriptome biomarkers.. Sci. Rep. 2020;10:6639.
- Li W, Hao X, Liu Y, Tong T, Xu H, Jia L. Effects of anesthetic agents on inflammation in Caco-2, HK-2 and HepG2 cells.. Exp. Ther. Med. 2021;21:487.
- Aleman M, Davis E, Williams D.C, Madigan J.E, Smith F, Guedes A. Electrophysiologic Study of a Method of Euthanasia Using Intrathecal Lidocaine Hydrochloride Administered during Intravenous Anesthesia in Horses.. J. Vet. Intern. Med. 2015;29:1676–1682.
- McGivney B.A, McGettigan P.A, Browne J.A, Evans A.C.O, Fonseca R.G, Loftus B.J, Lohan A, MacHugh D.E, Murphy B.A, Katz L.M. Characterization of the equine skeletal muscle transcriptome identifies novel functional responses to exercise training.. BMC Genom. 2010;11:398.
- Eivers S.S, McGivney B.A, Fonseca R.G, MacHugh D.E, Menson K, Park S.D, Rivero J.-L.L, Taylor C.T, Katz L.M, Hill E.W. Alterations in oxidative gene expression in equine skeletal muscle following exercise and training.. Physiol. Genom. 2010;40:83–93.
- Aldridge-Dean B.E, Lescun T.B, Radcliffe J.S. Impact of a 24 h feed withdrawal on active nutrient transport, intestinal morphology, and gene expression in the equine small and large intestine.. Transl. Anim. Sci. 2023;9:txad003.
- Budsuren U, Ulaangerel T, Shen Y, Liu G, Davshilt T, Yi M, Bold D, Zhang X, Bai D, Dorjgotov D. MSTN Regulatory Network in Mongolian Horse Muscle Satellite Cells Revealed with miRNA Interference Technologies.. Genes 2022;13:1836.
- Lee H.Y, Kim J.Y, Kim K.H, Jeong S, Cho Y, Kim N. Gene Expression Profile in Similar Tissues Using Transcriptome Sequencing Data of Whole-Body Horse Skeletal Muscle.. Genes 2020;11:1359.
- Mukai K, Ohmura H, Takahashi Y, Ebisuda Y, Yoneda K, Miyata H. Physiological and skeletal muscle responses to high-intensity interval exercise in Thoroughbred horses.. Front. Vet. Sci. 2023;10:1241266.
- Echigoya Y, Okabe H, Itou T, Endo H, Sakai T. Molecular characterization of glycogen synthase 1 and its tissue expression profile with type II hexokinase and muscle-type phosphofructokinase in horses.. Mol. Biol. Rep. 2011;38:461–469.
- Avila F, Mickelson J.R, Schaefer R.J, McCue M.E. Genome-Wide Signatures of Selection Reveal Genes Associated with Performance in American Quarter Horse Subpopulations.. Front. Genet. 2018;9:249.
- de Matteis R, Pereira G.L, Casarotto L.T, Tavernaro A.J.S, Silva J.A.I.I.V, Chardulo L.A.L, Curi R.A. Variants in the Chromosomal Region of the Myostatin Gene and Their Association with Lines, Performance, and Body Measurements of Quarter Horses.. J. Equine Vet. Sci. 2018;71:75–83.
- Hill E.W, Eivers S.S, McGivney B.A, Fonseca R.G, Gu J, Smith N.A, Browne J.A, MacHugh D.E, Katz L.M. Moderate and high intensity sprint exercise induce differential responses in COX4I2 and PDK4 gene expression in Thoroughbred horse skeletal muscle.. Equine Vet. J. Suppl. 2010;42:576–581.
- Lacombe V.A. Expression and regulation of facilitative glucose transporters in equine insulin-sensitive tissue: From physiology to pathology.. ISRN Vet. Sci. 2014;2014:409547.
- Valberg S.J, Velez-Irizarry D, Williams Z.J, Pagan J.D, Mesquita V, Waldridge B, Maresca-Fichter H. Novel Expression of GLUT3, GLUT6 and GLUT10 in Equine Gluteal Muscle Following Glycogen-Depleting Exercise: Impact of Dietary Starch and Fat.. Metabolites 2023;13:718.
- Ropka-Molik K, Stefaniuk-Szmukier M, Żukowski K, Piórkowska K, Bugno-Poniewierska M. Exercise-induced modification of the skeletal muscle transcriptome in Arabian horses.. Physiol. Genom. 2017;49:318–326.
- Srikanth K, Kim N.Y, Park W, Kim J.M, Kim K.D, Lee K.T, Son J.H, Chai H.H, Choi J.W, Jang G.W. Comprehensive genome and transcriptome analyses reveal genetic relationship, selection signature, and transcriptome landscape of small-sized Korean native Jeju horse.. Sci. Rep. 2019;9:16672.
- Buck M.J, Squire T.L, Andrews M.T. Coordinate expression of the PDK4 gene: A means of regulating fuel selection in a hibernating mammal.. Physiol. Genom. 2002;8:5–13.
- Fedorov V.B, Goropashnaya A.V, Tøien Ø, Stewart N.C, Chang C, Wang H, Yan J, Showe L.C, Showe M.K, Barnes B.M. Modulation of gene expression in heart and liver of hibernating black bears (Ursus americanus). BMC Genom. 2011;12:171.
- Vermillion K.L, Anderson K.J, Hampton M, Andrews M.T. Gene expression changes controlling distinct adaptations in the heart and skeletal muscle of a hibernating mammal.. Physiol. Genom. 2015;47:58–74.
- Yan J, Barnes B.M, Kohl F, Marr T.G. Modulation of gene expression in hibernating arctic ground squirrels.. Physiol. Genom. 2008;32:170–181.
- Freemark M. Metabolomics in nutrition research: Biomarkers predicting mortality in children with severe acute malnutrition.. Food Nutr. Bull. 2015;36:S88–S92.
- Viana C.L., Dodson Z., Santos H., Boyd J., Rosa L.P.. 95 Health parameter variation in emaciated stock-type horses going through two refeeding protocols.. J. Equine Vet. Sci. 2023;124:104397.
- Busechian S., Turini L., Sgorbini M., Bonelli F., Pisello L., Pieramati C., Orvieto S., Rueca F.. Body Condition Score Is Not Correlated to Gastric Ulcers in Non-Athlete Horses.. Animals 2022;12:2637.
- Park K.-D., Park J., Ko J., Kim B.C., Kim H.-S., Ahn K., Do K.-T., Choi H., Kim H.-M., Song S.. Whole transcriptome analyses of six thoroughbred horses before and after exercise using RNA-Seq.. BMC Genom. 2012;13:473.
- Stöckli J., Fazakerley D.J., James D.E.. GLUT4 exocytosis.. J. Cell Sci. 2011;124:4147–4159.
- Chung S., Perry R.P.. Importance of introns for expression of mouse ribosomal protein gene rpL32.. Mol. Cell. Biol. 1989;9:2075–2082.
- Okar D.A., Lange A.J.. Fructose-2,6-bisphosphate and control of carbohydrate metabolism in eukaryotes.. Biofactors 1999;10:1–14.
- Johnson M.L., Distelmaier K., Lanza I.R., Irving B.A., Robinson M.M., Konopka A.R., Shulman G.I., Nair K.S.. Mechanism by Which Caloric Restriction Improves Insulin Sensitivity in Sedentary Obese Adults.. Diabetes 2016;65:74–84.
- Salway J.G.. Metabolism at a Glance.. 4th ed. John Wiley & Sons; Hoboken, NJ, USA: Wiley Blackwell; Hoboken, NJ, USA: 2017. (At a Glance Series).
- Sato T., Itou T., Sato G., Kobayashi Y., Endo H., Sakai T.. Sequencing of cDNA and proximal promoter of equine hexokinase II gene.. DNA Seq. 2007;18:203–208.
- Roberts D.J., Miyamoto S.. Hexokinase II integrates energy metabolism and cellular protection: Akting on mitochondria and TORCing to autophagy.. Cell Death Differ. 2015;22:248–257.
- Lynch E.M., Hansen H., Salay L., Cooper M., Timr S., Kollman J.M., Webb B.A.. Structural basis for allosteric regulation of human phosphofructokinase-1.. Nat. Commun. 2024;15:7323.
- Sato T., Itou T., Sakai T.. Molecular cloning of equine muscle-type phosphofructokinase cDNA.. J. Vet. Med. Sci. 2003;65:645–648.
- Kullmann A., Weber P.S., Bishop J.B., Roux T.M., Norby B., Burns T.A., McCutcheon L.J., Belknap J.K., Geor R.J.. Equine insulin receptor and insulin-like growth factor-1 receptor expression in digital lamellar tissue and insulin target tissues.. Equine Vet. J. 2016;48:626–632.
- McCue M.E., Valberg S.J., Miller M.B., Wade C., DiMauro S., Akman H.O., Mickelson J.R.. Glycogen synthase (GYS1) mutation causes a novel skeletal muscle glycogenosis.. Genomics 2008;91:458–466.
- Liu J.P., Baker J., Perkins A.S., Robertson E.J., Efstratiadis A.. Mice carrying null mutations of the genes encoding insulin-like growth factor I (Igf-1) and type 1 IGF receptor (Igf1r). Cell 1993;75:59–72.
- Peters S., Wilson J., Boyette J.. Differential Expression of IGF1, IGFBP5, MSTN, and MYH1 Across Different Age Classes in American Quarter Horses.. J. Equine Vet. Sci. 2020;94:103226.
- Loos C.M.M., McLeod K.R., Vanzant E.S., Stratton S.A., Bohannan A.D., Coleman R.J., van Doorn D.A., Urschel K.L.. Differential effect of two dietary protein sources on time course response of muscle anabolic signaling pathways in normal and insulin dysregulated horses.. Front. Vet. Sci. 2022;9:896220.
- Park J.W., Kim K.H., Kim S., So J.R., Cho B.W., Song K.D.. Comparative metabolomic analysis in horses and functional analysis of branched chain (alpha) keto acid dehydrogenase complex in equine myoblasts under exercise stress.. J. Anim. Sci. Technol. 2022;64:800–811.
- Qian L., Zhu Y., Deng C., Liang Z., Chen J., Chen Y., Wang X., Liu Y., Tian Y., Yang Y.. Peroxisome proliferator-activated receptor gamma coactivator-1 (PGC-1) family in physiological and pathophysiological process and diseases.. Signal Transduct. Target. Ther. 2024;9:50.
- Hotamisligil G.S., Bernlohr D.A.. Metabolic functions of FABPs–mechanisms and therapeutic implications.. Nat. Rev. Endocrinol. 2015;11:592–605.
- Wu S.A., Kersten S., Qi L.. Lipoprotein Lipase and Its Regulators: An Unfolding Story.. Trends Endocrinol. Metab. 2021;32:48–61.
- Blaue D., Schedlbauer C., Starzonek J., Gittel C., Brehm W., Blüher M., Pfeffer M., Vervuert I.. The influence of equine body weight gain on inflammatory cytokine expressions of adipose tissue in response to endotoxin challenge.. Acta Vet. Scand. 2020;62:17.
- Knych H.K., Harrison L.M., Steinmetz S.J., Chouicha N., Kass P.H.. Differential expression of skeletal muscle genes following administration of clenbuterol to exercised horses.. BMC Genom. 2016;17:596.
- Linhart C., Shamir R.. The degenerate primer design problem.. Bioinformatics 2002;18((Suppl. S1)):S172–S181.
- Goldansaz S.A., Guo A.C., Sajed T., Steele M.A., Plastow G.S., Wishart D.S.. Livestock metabolomics and the livestock metabolome: A systematic review.. PLoS ONE 2017;12:e0177675.
- Nithya B., Ilango V. Predictive analytics in health care using machine learning tools and techniques; Proceedings of the 2017 International Conference on Intelligent Computing and Control Systems (ICICCS); Madurai, India. 15–16 June 2017; pp. 492–499.
Citations
This article has been cited 0 times.Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists