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BMC veterinary research2025; 21(1); 67; doi: 10.1186/s12917-025-04518-0

Proteomic analysis emphasizes the adaptation of energy metabolism in horses during endurance races.

Abstract: Long-term aerobic exercise during endurance racing places high demands on equine homeostasis. This study aimed to use proteomic analysis to elucidate complex biological responses during endurance exercise. It was hypothesized that different serum proteome changes would be noted, reflecting physiological processes as a response to race. The serum has been taken before and after an 80 km race from 13 endurance horses. Proteomic analysis of samples has been performed by TMT-based quantitative method. Apolipoprotein and haptoglobin values have been validated by enzyme-linked immunosorbent assay and biochemical assay respectively. The difference in protein abundance between pre and post-race values has been determined. Results: In serum samples, 10 master proteins with significant p value differences between pre- and post-race abundances were detected. Increased protein abundance after the race was noted for the apolipoprotein groups: ApoA IV and E, Microfibril-associated glycoprotein 4 (MFAP4), transferrin, and antithrombin-III. Decreases in apolipoprotein C-II, C-III and R, alpha-1-microglobulin/bikunin precursor protein (AMBP) and haptoglobin abundance were reported after the race compared to before the race. Gene Ontology analysis revealed changes in triglyceride and acylglycerol homeostasis, lipid localization regulation, triglyceride catabolic processes, cholesterol binding, antioxidant activity and several cellular components. Conclusions: The endurance race caused several homeostatic imbalances characterized by various alterations in serum protein levels. The most pronounced changes emphasize the adaptation of energy metabolism to a more pronounced consumption of lipids.
Publication Date: 2025-02-15 PubMed ID: 39955578PubMed Central: PMC11830206DOI: 10.1186/s12917-025-04518-0Google Scholar: Lookup
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  • Journal Article

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.

The research study aims to analyze the effects of strenuous long-term aerobic exercise, specifically endurance racing, on the energy metabolism adaptation in horses. This investigation involves notably fluctuating serum protein levels before and after a race and provides insights into its role in maintaining physiological balance.

Methodology and Procedure

In order to monitor the alterations in horse physiology during the endurance race, the researchers:

  • Collected serum samples from 13 endurance horses before and after an 80-km race.
  • Conducted a proteomic analysis of these samples using a TMT-based quantitative method.
  • Validated the apolipoprotein and haptoglobin values in the serum through enzyme-linked immunosorbent assay and biochemical assay respectively.
  • Tracked difference in protein abundance between pre- and post-race values.

Results

The research findings include:

  • Identification of 10 core proteins with significant differences in their pre- and post-race abundance levels in the serum samples.
  • Post-race increase in protein abundance for the apolipoprotein groups (ApoA IV and E), Microfibril-associated glycoprotein 4 (MFAP4), transferrin, and antithrombin-III.
  • Post-race decrease in apolipoprotein C-II, C-III and R, alpha-1-microglobulin/bikunin precursor protein (AMBP), and haptoglobin abundance.
  • The Gene Ontology analysis demonstrated changes in areas such as triglyceride and acylglycerol homeostasis, lipid localization regulation, triglyceride catabolic processes, cholesterol binding, and antioxidant activity.

Conclusion

The endurance race bred several homeostatic imbalances marked by notable alterations in the levels of serum proteins. The most remarkable changes highlight the kind of adaptation that a horse’s energy metabolism undergoes, shifting towards consuming lipids more proficiently. These findings provide a matter-of-fact understanding of horse physiology under stress and could potentially guide better endurance race preparation and recovery strategies.

Cite This Article

APA
Gotić J, Špelić L, Kuleš J, Horvatić A, Gelemanović A, Ljubić BB, Mrljak V, Bottegaro NB. (2025). Proteomic analysis emphasizes the adaptation of energy metabolism in horses during endurance races. BMC Vet Res, 21(1), 67. https://doi.org/10.1186/s12917-025-04518-0

Publication

ISSN: 1746-6148
NlmUniqueID: 101249759
Country: England
Language: English
Volume: 21
Issue: 1
Pages: 67
PII: 67

Researcher Affiliations

Gotić, Jelena
  • Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia. jselanec@vef.hr.
Špelić, Luka
  • Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Kuleš, Josipa
  • Department of Chemistry and Biochemistry, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Horvatić, Anita
  • Department of Chemistry and Biochemistry, Faculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia.
Gelemanović, Andrea
  • Mediterranean Institute for Life Science (MedILS), University of Split, Split, Croatia.
Ljubić, Blanka Beer
  • Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Mrljak, Vladimir
  • Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Bottegaro, Nika Brkljača
  • Clinic for Surgery, Orthopaedics and Ophthalmology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.

MeSH Terms

  • Animals
  • Horses / physiology
  • Energy Metabolism / physiology
  • Proteomics
  • Physical Endurance / physiology
  • Physical Conditioning, Animal / physiology
  • Male
  • Adaptation, Physiological
  • Haptoglobins / metabolism
  • Haptoglobins / analysis
  • Female
  • Proteome / metabolism
  • Apolipoproteins / metabolism
  • Apolipoproteins / blood

Grant Funding

  • 4135 / Croatian Science Foundation
  • 4135 / Croatian Science Foundation
  • 4135 / Croatian Science Foundation
  • 4135 / Croatian Science Foundation
  • 4135 / Croatian Science Foundation
  • 621394 / European Commission FP7
  • 621394 / European Commission FP7
  • 621394 / European Commission FP7
  • 621394 / European Commission FP7
  • 621394 / European Commission FP7

Conflict of Interest Statement

Declarations. Ethics approval and consent to participate: This study was reviewed and approved by The Committee for Ethics in Veterinary Medicine at Faculty of Veterinary Medicine, University of Zagreb, Croatia (Permit Number: 640–01/20–17/26;251–61-41–20-01). All animal owners provided a written informed consent to participate in the study. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

References

This article includes 65 references
  1. Nagy A, Murray JK, Dyson S. Elimination from elite endurance rides in nine countries: A preliminary study.. Equine Vet J 2010;42:637–43.
  2. Legg KA, Weston J, Gee EK, Bolwell CF, Bridges JP, Rogers CW. Characteristics of Endurance Competitions and Risk Factors for Elimination in New Zealand during Six Seasons of Competition (2010/11–2015/16).. Animals 2019;6:611.
    pmc: PMC6770045pubmed: 31461901doi: 10.3390/ani9090611google scholar: lookup
  3. Poole DC, Erickson HH. Cardiovascular function and oxygen transport: Responses to exercise and training.. In: Hinchcliff KW, Geor RJ, Kaneps AJ, editors. Equine Exercise Physiology: The Science of Exercise in the Athletic Horse. Philadelphia: Saunders Elsevier; 2008. p. 212–45.
  4. Mckeever KH. Body fluids and electrolytes: Responses to exercise and training.. In: Hinchcliff KW, Geor RJ, Kaneps AJ, editors. Equine Exercise Physiology: The Science of Exercise in the Athletic Horse. Philadelphia: Saunders Elsevier; 2008. p. 328–49.
  5. Lindiger MI, Ecker GL. Ion and water losses from body fluids during a 163 km endurance ride.. Equine Vet J 1995;18:314–22.
  6. Kingston JK, Bayly WM. Effect of Exercise on Acid-Base Status of Horses.. Vet Clin North Am Equine Pract 1998;14:61–73.
    pubmed: 9561688doi: 10.1016/s0749-0739(17)30212-2google scholar: lookup
  7. Foreman JH. The Exhausted Horse Syndrome.. Vet Clin North Am Equine Pract 1998;14(1):205–19.
    pubmed: 9561696doi: 10.1016/s0749-0739(17)30220-1google scholar: lookup
  8. Clayton HM. Conditioning Sport Horses.. Mason: Sport Horse Publications; 1991.
  9. Snow DH, Valberg SJ. Muscle anatomy, physiology and adaptations to exercise and training.. In: Hodgson DH, Rose RJ, editors. The Athletic horse: Principles and Practice of Equine Sports Medicine. Philadelphia: WB Saunders Co.; 1994. p. 145–79.
  10. Aebersold R, Mann M. Mass spectrometry-based proteomics.. Nature 2003;422(6928):198–207.
    pubmed: 12634793doi: 10.1038/nature01511google scholar: lookup
  11. Lee EC, Fragala MS, Kavouras SA, Queen RM, Pryor JL, Casa DJ. Biomarkers in Sports and Exercise: Tracking Health, Performance, and Recovery in Athletes.. J Strength Cond Res 2017;31(10):2920–37.
  12. Ichibangase T, Imai K. Application of fluorogenic derivatization-liquid chromatography-tandem mass spectrometric proteome method to skeletal muscle proteins in fast Thoroughbred horses.. J Proteome Res 2009;8(4):2129–34.
    pubmed: 19714884doi: 10.1021/pr801004sgoogle scholar: lookup
  13. Bouwman FG, van Ginneken MM, Noben JP, Royackers E, de Graaf-Roelfsema E, Wijnberg ID, van der Kolk JH, Mariman ECM, van Breda E. Differential expression of equine muscle biopsy proteins during normal training and intensified training in young standardbred horses using proteomics technology.. Comp Biochem Physiol Part D Genom Proteomics 2010;5:55–64.
    pubmed: 20374942doi: 10.1016/j.cbd.2009.11.001google scholar: lookup
  14. Scoppetta F, Tartaglia M, Renzone G, Avellini L, Gaiti A, Scaloni A, Chiaradia E. Plasma protein changes in horse after prolonged physical exercise: a proteomic study.. J Proteomics 2012;75(14):4494–504.
    pubmed: 22546489doi: 10.1016/j.jprot.2012.04.014google scholar: lookup
  15. Johansson L, Ringmark S, Bergquist J, Skiöldebrand, Widgren A, Jansson A. Proteomics perspective on 2 years of high-intensity training in horses: a pilot study.. Sci Rep 2024;14:23684.
    pmc: PMC11467344pubmed: 39390056doi: 10.1038/s41598-024-75266-8google scholar: lookup
  16. Horvatić A, Guillemin N, Kaab H, McKeegan D, O’Reilly E, Bain M, Kuleš J, Eckersall PD. Quantitative proteomics using tandem mass tags in relation to the acute phase protein response in chicken challenged with Escherichia coli lipopolysaccharide endotoxin.. J Proteomics 2019;192:64–77.
    pubmed: 30114510doi: 10.1016/j.jprot.2018.08.009google scholar: lookup
  17. Eckersall PD, Duthie S, Safi S, Moffatt D, Horadagoda NU, Doyle S, Parton R, Bennett D, Fitzpatrick JL. An automated biochemical assay for haptoglobin: Prevention of interference from albumin.. Comp Haematol Int 1999;9:117–24.
    doi: 10.1007/s005800050020google scholar: lookup
  18. Brady N, O’Reilly EL, McComb C, Macrae AI, Eckersall PD. An immunoturbidimetric assay for bovine haptoglobin.. Comp Clin Pathol 2019;28(1):21–7.
    pmc: PMC6380195pubmed: 30863272doi: 10.1007/s00580-018-2863-6google scholar: lookup
  19. Kuleš J, Bilić P, Beer Ljubić B, Gotić J, Crnogaj M, Brkljačić M, Mrljak V. Glomerular and tubular kidney damage markers in canine babesiosis caused by Babesia canis.. Ticks Tick Borne Dis 2018;9(6):1508–17.
    pubmed: 30057291doi: 10.1016/j.ttbdis.2018.07.012google scholar: lookup
  20. Team RC. R: a language and environment for statistical computing.. Vienna: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org/.
  21. Wickham H. ggplot2 Elegant Graphics for Data Analysis.. New York: Springer Verlag; 2016.
  22. Yu G, Wang L-G, Han Y, He Q-Y. clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters.. OMICS 2012;16(5):284–7.
    pmc: PMC3339379pubmed: 22455463doi: 10.1089/omi.2011.0118google scholar: lookup
  23. Yu G, He Q-Y. ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization.. Mol Biosyst 2016;12(2):477–9.
    pubmed: 26661513doi: 10.1039/c5mb00663egoogle scholar: lookup
  24. 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;18:187.
    pmc: PMC5316211pubmed: 28212624doi: 10.1186/s12864-017-3571-3google scholar: lookup
  25. Qu JC, Ko W, Tso P, Bhargava A. Apolipoprotein A-IV: A Multifunctional Protein Involved in Protection against Atherosclerosis and Diabetes.. Cells 2019;8(4):319.
    pmc: PMC6523623pubmed: 30959835doi: 10.3390/cells8040319google scholar: lookup
  26. Spaulding HL, Al E, Saijo F, Turnage RH, Alexander JS, Aw TY, Kalogeris TJ. Apolipoprotein A-IV attenuates oxidant-induced apoptosis in mitotic competent, undifferentiated cells by modulating intracellular glutathione redox balance.. Am J Physiol Cell Physiol 2006;290(1):95–103.
    pubmed: 16120654doi: 10.1152/ajpcell.00388.2005google scholar: lookup
  27. Williams CA, Kronfeld DS, Hess TM, Saker KE, Waldron JE, Crandell KM, Harris PA. Comparison of oxidative stress and antioxidant status in endurance horses in three 80-km races.. Equine Comp Exerc Physiol 2005;2(03):153–7.
    doi: 10.1079/ecp200562google scholar: lookup
  28. Brkljača Bottegaro N, Gotić J, Šuran J, Brozić D, Klobučar K, Bojanić K, Vrbanac Z. Effect of prolonged submaximal exercise on serum oxidative stress biomarkers (d-ROMs, MDA, BAP) and oxidative stress index in endurance horses.. BMC Vet Res 2018;14(1):216.
    pmc: PMC6035461pubmed: 29980209doi: 10.1186/s12917-018-1540-ygoogle scholar: lookup
  29. Goldberg IJ, Scheraldi CA, Yacoub LK, Saxena U, Bisagaier CL. Lipoprotein ApoC-II Activation of Lipoprotein Lipase.. J Biol Chem 1990;265(8):4266–72.
    pubmed: 2307668doi: 10.1016/s0021-9258(19)39557-2google scholar: lookup
  30. Kersten S. Physiological regulation of lipoprotein lipase.. Biochim Biophys Acta 2014;1841(7):919–33.
    pubmed: 24721265doi: 10.1016/j.bbalip.2014.03.013google scholar: lookup
  31. Petibois C, Cazorla G, Poortmans J-R, Deleris G. Biochemical aspects of overtraining in endurance sports: a review.. Sports Med 2002;32:867–78.
  32. Klein L, Miller TD, Radam TE, O'brien T, Nguyen TT, Kottke BA. Acute physical exercise alters apolipoprotein E and C-III concentrations of apo E-rich very low density lipoprotein fraction.. Atherosclerosis 1992;97(1):37–51.
    pubmed: 1445493doi: 10.1016/0021-9150(92)90049-mgoogle scholar: lookup
  33. Melanson EL, Maclean PS, Hill JO. Exercise improves fat metabolism in muscle but does not increase 24-h fat oxidation.. Exerc Sport Sci Rev 2009;37(2):93–101.
  34. Borén J, Packard CJ, Taskinen MR. The Roles of ApoC-III on the Metabolism of Triglyceride-Rich Lipoproteins in Humans.. Front Endocrinol 2020;11:474.
    pmc: PMC7399058pubmed: 32849270doi: 10.3389/fendo.2020.00474google scholar: lookup
  35. Amaya-Montoya M, Pinzón-Cortés JA, Silva-Bermúdez LS, Ruiz-Manco D, Pérez-Matos MC, Jiménez-Mora MA, Mendivil CO. ApoE and ApoC-III-defined HDL subtypes: a descriptive study of their lecithin cholesterol acyl transferase and cholesteryl ester transfer protein content and activity.. Lipids Health Dis 2020;19(1):106.
    pmc: PMC7249299pubmed: 32450892doi: 10.1186/s12944-020-01291-xgoogle scholar: lookup
  36. Lawrence L. Nutrient Needs of Performance Horses.. Revista Brasileira de Zootecnia 2008;37:206–10.
  37. Harris P. Feeding management of elite endurance horses.. Vet Clin North Am Equine Pract 2009;25(1):137–53.
    pubmed: 19303556doi: 10.1016/j.cveq.2009.01.005google scholar: lookup
  38. Myćka G, Ropka-Molik K, Cywińska A, Szmatoła T, Stefaniuk-Szmukier M. Molecular insights into the lipid-carbohydrates metabolism switch under the endurance effort in Arabian horses.. Equine Vet J 2023.
    pubmed: 37565649doi: 10.1111/evj.13984google scholar: lookup
  39. Smith SM, Melrose J. A Retrospective Analysis of the Cartilage Kunitz Protease Inhibitory Proteins Identifies These as Members of the Inter-α-Trypsin Inhibitor Superfamily with Potential Roles in the Protection of the Articulatory Surface.. Int J Mol Sci 2019;20(3):497.
    pmc: PMC6387120pubmed: 30678366doi: 10.3390/ijms20030497google scholar: lookup
  40. Te Moller NCR, van Weeren PR. How exercise influences equine joint homeostasis.. Vet J 2017;222:60–7.
    pubmed: 28392152doi: 10.1016/j.tvjl.2017.03.004google scholar: lookup
  41. Murray RC, Birch HL, Lakhani K, Goodship AE. Biochemical composition of equine carpal articular cartilage is influenced by short-term exercise in a site-specific manner.. Osteoarthritis Cartilage 2001;9(7):625–32.
    pubmed: 11597175doi: 10.1053/joca.2001.0462google scholar: lookup
  42. Mihelić K, Vrbanac Z, Bojanić K, Kostanjšak T, Beer Ljubić B, Gotić J, Vnuk D, Brkljača BN. Changes in Acute Phase Response Biomarkers in Racing Endurance Horses.. Animals 2022;12(21):2993.
    pmc: PMC9657625pubmed: 36359117doi: 10.3390/ani12212993google scholar: lookup
  43. Bertaggia E, Scabia G, Dalise S, Verso FL, Santini F, Vitti P, Chisari C, Sandri M, Maffei M. Haptoglobin Is Required to Prevent Oxidative Stress and Muscle Atrophy.. PLOS ONE 2014;9(6):e100745.
  44. Lippi G, Sanchis-Gomar F. Epidemiological, biological and clinical update on exercise induced hemolysis.. Ann Transl Med 2019;7(12):270.
    pmc: PMC6614330pubmed: 31355237doi: 10.21037/atm.2019.05.41google scholar: lookup
  45. Kobayashi Y, Nakatsuji A, Aoi W, Wada S, Kuwahata M, Kido Y. Intense Exercise Increases Protein Oxidation in Spleen and Liver of Mice.. Nutr Metab Insights 2014;7:1–6.
    pmc: PMC3999947pubmed: 24812519doi: 10.4137/nmi.s13668google scholar: lookup
  46. Rifkind JM, Mohanty JG, Nagababu E. The pathophysiology of extracellular hemoglobin associated with enhanced oxidative reactions.. Front Physiol 2015;5:500.
    pmc: PMC4294139pubmed: 25642190doi: 10.3389/fphys.2014.00500google scholar: lookup
  47. Bicho MC, da Silva AP, Medeiros R, Bicho M. The Role of Haptoglobin and Its Genetic Polymorphism in Cancer: A Review.. Acute Phase Proteins InTech 2013.
    doi: 10.5772/56695google scholar: lookup
  48. Sakata S, Yoshioka N, Atassi MZ. Human haptoglobin binds to human myoglobin.. Biochim Biophys Acta 1986;873(2):312–5.
    pubmed: 3756181doi: 10.1016/0167-4838(86)90060-9google scholar: lookup
  49. Schott HC, Marlin RJ, Geor RJ, Holbrooks TC, Deaton CM, Vincent T, Dacrey K, Schroter RC, Jose-Cunillera E, Cornelisse CJ. Changes in selected physiological and laboratory measurements in elite horses competing in a 160 km endurance ride.. Equine Vet J 2006;36:37–42.
  50. Klobučar K, Vrbanac Z, Gotić J, Bojanić K, Bureš T, Brkljača BN. Changes in biochemical parameters in horses during 40 km and 80 km endurance races.. Acta Vet-Beogr 2019;69(1):73–87.
    doi: 10.2478/acve-2019-0005google scholar: lookup
  51. Pellegrini Masini A, Tedeschi D, Baragli P, Sighieri C, Lubas G. Exercise-induced intravascular haemolysis in standardbred horses.. Comp Clin Path 2003;12:45–8.
    doi: 10.1007/s00580-002-0470-ygoogle scholar: lookup
  52. Cywińska A, Szarska E, Gorecka R, Witkowski L, Hecold M, Bereznowski A, Schollenberger A, Winnicka A. Acute phase protein concentrations after limited distance and long distance endurance rides in horses.. Res Vet Sci 2012;93(3):1402–6.
    pubmed: 22390917doi: 10.1016/j.rvsc.2012.02.008google scholar: lookup
  53. Kawabata H. Transferrin and transferrin receptors update.. Free Radic Biol Med 2019;133:46–54.
  54. Schumacher YO, Schmid A, König D, Berg A. Effects of exercise on soluble transferrin receptor and other variables of the iron status.. Br J Sports Med 2002;36(3):195–9.
    pmc: PMC1724494pubmed: 12055114doi: 10.1136/bjsm.36.3.195google scholar: lookup
  55. Smith JE. Effects of strenuous exercise on haemostasis.. Br J Sports Med 2003;37(5):433–5.
    pmc: PMC1751362pubmed: 14514536doi: 10.1136/bjsm.37.5.433google scholar: lookup
  56. Ferguson EW, Bernier LL, Banta GR, Yu-Yahiro J, Schoomaker EB. Effects of exercise and conditioning on clotting and fibrinolytic activity in men.. J Appl Physiol 1987;62(4):1416–21.
    pubmed: 3597218doi: 10.1152/jappl.1987.62.4.1416google scholar: lookup
  57. Paltrinieri S, Meazza C, Giordano A, Tunesi C. Validation of thromboelastometry in horses.. Vet Clin Pathol 2008;37(3):277–85.
  58. Pilecki B, Holm AT, Schlosser A, Moeller JB, Wohl AP, Zuk AV, Heumüller SE, Wallis R, Moestrup SK, Sengle G, Holmskov U, Sorensen GL. Characterization of microfibrillar-associated protein 4 (MFAP4) as a tropoelastin- and fibrillin-binding protein involved in elastic fiber formation.. J Biol Chem 2016;291(3):1103–14.
    pmc: PMC4714194pubmed: 26601954doi: 10.1074/jbc.m115.681775google scholar: lookup
  59. Mölleken C, Poschmann G, Bonella F, Costabel U, Sitek B, Stühler K, Meyer HE, Schmiegel WH, Marcussen N, Helmer M, Nielsen O, Hansen S, Schlosser A, Holmskov U, Lykke SG. MFAP4: a candidate biomarker for hepatic and pulmonary fibrosis?. Sarcoidosis, Vasc Diffuse Lung Dis 2016;33(1):41–50.
    pubmed: 27055835
  60. Johansson SL, Roberts NB, Schlosser A, Andersen CB, Carlsen J, Wulf-Johansson H, Sækmose SG, Titlestad IL, Tornoe I, Miller B, Tal-Singer R, Holmskov U, Vestbo J, Lykke SG. Microfibrillar-associated protein 4: a potential biomarker of chronic obstructive pulmonary disease.. Respir Med 2014;108(9):1336–44.
    pubmed: 25022422doi: 10.1016/j.rmed.2014.06.003google scholar: lookup
  61. Davalieva K, Kostovska IM, Kiprijanovska S, Markoska K, Kubelka-Sabit K, Filipovski V, Stavridis S, Stankov O, Komina S, Petrusevska G, Polenakovic M. Proteomics analysis of malignant and benign prostate tissue by 2D DIGE/MS reveals new insights into proteins involved in prostate cancer.. Prostate 2015;75(14):1586–600.
    pubmed: 26074449doi: 10.1002/pros.23034google scholar: lookup
  62. Zhao H, Sun Q, Li L, Zhou J, Zhang C, Hu T, Zhou X, Zhang L, Wang B, Li B, Zhu T, Li H. High expression levels of AGGF1 and MFAP4 predict primary platinum-based chemoresistance and are associated with adverse prognosis in patients with serous ovarian cancer.. J Cancer 2019;10(2):397–407.
    pmc: PMC6360311pubmed: 30719133doi: 10.7150/jca.28127google scholar: lookup
  63. Yang J, Song H, Chen L, Cao K, Zhang Y, Li Y, Hao X. Integrated analysis of microfibrillar-associated proteins reveals MFAP4 as a novel biomarker in human cancers.. Epigenomics 2019;11(1):15–21.
    pubmed: 30089404doi: 10.2217/epi-2018-0080google scholar: lookup
  64. Bilić P, Guillemin N, Kovačević A, Beer Ljubić B, Jović I, Galan A, Eckersall PD, Burchmore R, Mrljak V. Serum proteome profiling in canine idiopathic dilated cardiomyopathy using TMT-based quantitative proteomics approach.. J Proteomics 2018;179:110–21.
    pubmed: 29530679doi: 10.1016/j.jprot.2018.03.007google scholar: lookup
  65. Sækmose SG, Holst R, Lottenburger T, Ytting H, Nielsen HJ, Junker P, Schlosser A, Sorensen GL. Circadian, Week-to-Week, and Physical Exercise-Induced Variation of Serum Microfibrillar-Associated Protein 4.. Biomarker Insights 2021;16:11772719211016360.
    pmc: PMC8127734pubmed: 34035648doi: 10.1177/11772719211016359google scholar: lookup

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