FREE SHIPPING over $40
OVER 9000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Home / Equine Research Bank / Sci Rep / Proteome and metabolomic profile of Mongolian horse follicul...
Scientific reports2024; 14(1); 19788; doi: 10.1038/s41598-024-66686-7

Proteome and metabolomic profile of Mongolian horse follicular fluid during follicle development.

Abstract: During follicular development, changes in the composition of the follicular fluid are synchronized with the development of oocytes. Our aim was to screen the key factors affecting oocyte maturation and optimize the in vitro culture protocol by understanding the changes of proteins and metabolites in follicular fluid. Follicles are divided into three groups according to their diameter (small follicle fluid (SFF): 10 mm < d < 20 mm; medium follicle fluid (MFF): 20 mm < d < 30 mm; large follicle fluid (LFF): 30 mm < d). Proteins and metabolites from the follicular fluid were analyzed by mass spectrometry. The results showed that: in LFF vs MFF, 20 differential abundant protein (DAP) and 88 differential abundant metabolites (DAM) were screened out; In SFF vs MFF, 3 DAPs and 65 DAMs were screened out; In MFF vs SFF, 24 DAPs and 35 DAMs were screened out. The analysis of differential proteins and metabolites showed that glycerophosphate hydrolysis decreased during follicular development, and proteins played a major role in metabolism and binding. In addition, DAMs and DAPs are co-enriched in the "linoleic acid metabolism" pathway. Combinatorial analysis reveals the dynamic profile of follicular fluid during follicular development and provides fundation for further exploring the function of follicular fluid in Mongolian horse.
© 2024. The Author(s).
Get Full Text
Publication Date: 2024-08-26 PubMed ID: 39187528PubMed Central: PMC11347562DOI: 10.1038/s41598-024-66686-7Google 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.
LinkedInCopy
  • 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 attempted to understand how proteins and metabolites in follicular fluid change during oocyte maturation in Mongolian horses, with a view to improving in vitro cultivation methods.

Research Purpose and Methodology

  • The goal of this research was to identify the main elements driving oocyte maturation by investigating the alteration of proteins and metabolites in follicular fluid during follicular development.
  • A secondary goal was to utilize this information to enhance the in vitro culture protocol.
  • For this study, follicles were categorized into three groups based on their size: small follicle fluid (SFF: 10mm <d <20mm), medium follicle fluid (MFF: 20mm <d <30mm), and large follicle fluid (LFF: 30mm <d).
  • The follicular fluid was then analyzed with mass spectrometry to identify the proteins and metabolites present.

Key Findings:

  • When comparing LFF and MFF, there were 20 variably abundant proteins (DAP) and 88 variably abundant metabolites (DAM) identified.
  • Between SFF and MFF, 3 DAPs and 65 DAMs were distinguished.
  • When comparing MFF and SFF, 24 DAPs and 35 DAMs were identified.
  • The analysis concluded that glycerophosphate hydrolysis reduces during follicular development and that proteins significantly contribute to metabolism and binding.
  • Additionally, DAPs and DAMs were found to be jointly enriched in the “linoleic acid metabolism” pathway.

Conclusion and Implication

  • The combinatorial study offers a dynamic profile of follicular fluid during follicular development.
  • This research helps to better comprehend the function of follicular fluid in the development of the horse’s follicle.
  • This data may facilitate further inquiry into the function of follicular fluid in Mongolian horses and could assist in refining in vitro cultivation methods.

Cite This Article

APA
Li X, Du M, Liu Y, Wang M, Shen Y, Xing J, Zhang L, Zhao Y, Bou G, Bai D, Dugarjaviin M, Xia W. (2024). Proteome and metabolomic profile of Mongolian horse follicular fluid during follicle development. Sci Rep, 14(1), 19788. https://doi.org/10.1038/s41598-024-66686-7

Publication

Scientific reports
ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 14
Issue: 1
Pages: 19788

Researcher Affiliations

Li, Xinyu
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Du, Ming
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Liu, Yuanyi
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Wang, Min
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Shen, Yingchao
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Xing, Jingya
  • College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266000, China.
Zhang, Lei
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Zhao, Yiping
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Bou, Gerelchimeg
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Bai, Dongyi
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Dugarjaviin, Manglai
  • College of Animal Science, Inner Mongolia Key Laboratory of Equine Science Research and Technology Innovation, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China. dmanglai@163.com.
Xia, Wei
  • College of Animal Science and Technology, Hebei Agricultural University, Baoding, 071000, China. Xia.xiaweihawaii@163.com.

MeSH Terms

  • Follicular Fluid / metabolism
  • Animals
  • Horses
  • Proteome / metabolism
  • Proteome / analysis
  • Ovarian Follicle / metabolism
  • Ovarian Follicle / growth & development
  • Female
  • Metabolome
  • Metabolomics / methods
  • Oocytes / metabolism
  • Oocytes / growth & development

Grant Funding

  • No. 32260831 / Regional Fund Project of National Natural Science Foundation of China
  • No. 2020BS03035 / Natural Science Foundation of Inner Mongolia Autonomous Region
  • No.2020ZD0004 / Inner Mongolia Science and Technology Department Construction Project
  • ZD20220513 / The project for overseas talents in Hebei Province
  • YJ2021013 / Special Project for Talents Enrollment of Hebei Agricultural University

Conflict of Interest Statement

The authors declare no competing interests.

References

This article includes 58 references
  1. Budsuren U. MSTN regulatory network in mongolian horse muscle satellite cells revealed with miRNA interference technologies. Genes 13(10), 1836 (2022).
    doi: 10.3390/genes13101836pmc: PMC9601437pubmed: 36292721google scholar: lookup
  2. Han H. Selection signatures for local and regional adaptation in Chinese Mongolian horse breeds reveal candidate genes for hoof health. BMC Genom 24, 35 (2023).
    doi: 10.1186/s12864-023-09116-8pmc: PMC9854188pubmed: 36658473google scholar: lookup
  3. Bou T. A genome-wide landscape of mRNAs, miRNAs, lncRNAs, and circRNAs of skeletal muscles during dietary restriction in Mongolian horses. Comp. Biochem. Physiol. Part D Genom. Proteom. 46, 101084 (2023).
    doi: 10.1016/j.cbd.2023.101084pubmed: 37150091google scholar: lookup
  4. Su S. Characterization and comparison of the bacterial microbiota in different gastrointestinal tract compartments of Mongolian horses. Microbiologyopen 9, 1085–1101 (2020).
    doi: 10.1002/mbo3.1020pmc: PMC7294312pubmed: 32153142google scholar: lookup
  5. Li B. Transcriptome profiling of developing testes and spermatogenesis in the Mongolian horse. BMC Genet 21, 46 (2020).
    doi: 10.1186/s12863-020-00843-5pmc: PMC7187496pubmed: 32345215google scholar: lookup
  6. Revelli A. Follicular fluid content and oocyte quality: from single biochemical markers to metabolomics. Reprod. Biol. Endocrinol. 7, 40 (2009).
    doi: 10.1186/1477-7827-7-40pmc: PMC2685803pubmed: 19413899google scholar: lookup
  7. Basuino L, Silveira CF Jr. Human follicular fluid and effects on reproduction. JBRA Assist. Reprod. 20, 38–40 (2016).
    doi: 10.5935/1518-0557.20160009pubmed: 27203305google scholar: lookup
  8. Hasan MM. Bovine follicular fluid and extracellular vesicles derived from follicular fluid alter the bovine oviductal epithelial cells transcriptome. Int. J. Mol. Sci. 21(15), 5365 (2020).
    doi: 10.3390/ijms21155365(2020)pmc: PMC7432463pubmed: 32731579google scholar: lookup
  9. Soucek K. Presence of growth/differentiation factor-15 cytokine in human follicular fluid, granulosa cells, and oocytes. J. Assist. Reprod. Genet. 35, 1407–1417 (2018).
    doi: 10.1007/s10815-018-1230-5pmc: PMC6086784pubmed: 29948426google scholar: lookup
  10. Carpintero NL, Suárez OA, Mangas CC, Varea CG, Rioja RG. Follicular steroid hormones as markers of oocyte quality and oocyte development potential. J. Hum. Reprod. Sci. 7, 187–193 (2014).
    doi: 10.4103/0974-1208.142479pmc: PMC4229794pubmed: 25395744google scholar: lookup
  11. Da Broi MG. Influence of follicular fluid and cumulus cells on oocyte quality: clinical implications. J. Assist. Reprod. Genet. 35, 735–751 (2018).
    doi: 10.1007/s10815-018-1143-3pmc: PMC5984887pubmed: 29497954google scholar: lookup
  12. Dumesic DA, Meldrum DR, Katz-Jaffe MG, Krisher RL, Schoolcraft WB. Oocyte environment: follicular fluid and cumulus cells are critical for oocyte health. Fertil. Steril. 103, 303–316 (2015).
    doi: 10.1016/j.fertnstert.2014.11.015pubmed: 25497448google scholar: lookup
  13. Gerard N, Loiseau S, Duchamp G, Seguin F. Analysis of the variations of follicular fluid composition during follicular growth and maturation in the mare using proton nuclear magnetic resonance (1H NMR). Reproduction 124, 241–248 (2002).
    doi: 10.1530/rep.0.1240241pubmed: 12141937google scholar: lookup
  14. Wang C. Proteomic analysis of the alterations in follicular fluid proteins during oocyte maturation in humans. Front Endocrinol (Lausanne) 12, 830691 (2021).
    doi: 10.3389/fendo.2021.830691pmc: PMC8850365pubmed: 35185790google scholar: lookup
  15. Ambekar AS. Proteomics of follicular fluid from women with polycystic ovary syndrome suggests molecular defects in follicular development. J. Clin. Endocrinol. Metab. 100, 744–753 (2015).
    doi: 10.1210/jc.2014-2086pmc: PMC5393508pubmed: 25393639google scholar: lookup
  16. Carnevale EM. Advances in collection, transport and maturation of equine oocytes for assisted reproductive techniques. Vet. Clin. North Am. Equine. Pract. 32, 379–399 (2016).
    doi: 10.1016/j.cveq.2016.07.002pubmed: 27726987google scholar: lookup
  17. Foss R, Ortis H, Hinrichs K. Effect of potential oocyte transport protocols on blastocyst rates after intracytoplasmic sperm injection in the horse. Equine Vet. J. 45, 39–43 (2013).
    doi: 10.1111/evj.12159pubmed: 24304402google scholar: lookup
  18. Morris LHA. The development of in vitro embryo production in the horse. Equine Vet J 50, 712–720 (2018).
    doi: 10.1111/evj.12839pubmed: 29654624google scholar: lookup
  19. Guo R. Follicular fluid meiosis-activating sterol (FF-MAS) promotes meiotic resumption via the MAPK pathway in porcine oocytes. Theriogenology 148, 186–193 (2020).
    doi: 10.1016/j.theriogenology.2019.11.012pubmed: 31757483google scholar: lookup
  20. Ferre LB. Review: Recent advances in bovine in vitro embryo production: reproductive biotechnology history and methods. Animal 14, 991–1004 (2020).
    doi: 10.1017/S1751731119002775pubmed: 31760966google scholar: lookup
  21. Park JE, Lee SH, Hwangbo Y, Park CK. Porcine follicular fluid derived from > 8 mm sized follicles improves oocyte maturation and embryo development during in vitro maturation of pigs. Zygote 29, 27–32 (2021).
    doi: 10.1017/s0967199420000398pubmed: 32959753google scholar: lookup
  22. Nel-Themaat L, Nagy ZP. A review of the promises and pitfalls of oocyte and embryo metabolomics. Placenta 32(Suppl 3), S257-263 (2011).
    doi: 10.1016/j.placenta.2011.05.011pubmed: 21703683google scholar: lookup
  23. Singh R, Sinclair KD. Metabolomics: approaches to assessing oocyte and embryo quality. Theriogenology 68(Suppl 1), S56-62 (2007).
    doi: 10.1016/j.theriogenology.2007.04.007pubmed: 17490741google scholar: lookup
  24. Gerard N, Fahiminiya S, Grupen CG, Nadal-Desbarats L. Reproductive physiology and ovarian folliculogenesis examined via 1H-NMR metabolomics signatures: a comparative study of large and small follicles in three mammalian species (Bos taurus, Sus scrofa domesticus and Equus ferus caballus). OMICS 19, 31–40 (2015).
    doi: 10.1089/omi.2014.0097pubmed: 25393852google scholar: lookup
  25. Sun Z. Identification of potential metabolic biomarkers of polycystic ovary syndrome in follicular fluid by SWATH mass spectrometry. Reprod. Biol. Endocrinol. 17, 45 (2019).
    doi: 10.1186/s12958-019-0490-ypmc: PMC6560878pubmed: 31186025google scholar: lookup
  26. Zhang Z, Wu S, Stenoien DL, Paša-Tolić L. High-throughput proteomics. Annu. Rev. Anal. Chem. (Palo Alto Calif) 7, 427–454 (2014).
    doi: 10.1146/annurev-anchem-071213-020216pubmed: 25014346google scholar: lookup
  27. Dutra GA. Seasonal variation in equine follicular fluid proteome. Reprod. Biol. Endocrinol. 17, 29 (2019).
    doi: 10.1186/s12958-019-0473-zpmc: PMC6404268pubmed: 30841911google scholar: lookup
  28. Fahiminiya S, Labas V, Roche S, Dacheux JL, Gerard N. Proteomic analysis of mare follicular fluid during late follicle development. Proteome Sci. 9, 54 (2011).
    doi: 10.1186/1477-5956-9-54pmc: PMC3189114pubmed: 21923925google scholar: lookup
  29. Ishak GM. Follicular-fluid proteomics during equine follicle development. Mol. Reprod. Dev. 89, 298–311 (2022).
    doi: 10.1002/mrd.23622pubmed: 35762042google scholar: lookup
  30. Herre C, Nshdejan A, Klopfleisch R, Corte GM, Bahramsoltani M. Expression of vimentin, TPI and MAT2A in human dermal microvascular endothelial cells during angiogenesis in vitro. PLoS One 17, e0266774 (2022).
    doi: 10.1371/journal.pone.0266774pmc: PMC9049311pubmed: 35482724google scholar: lookup
  31. Szubert S, Koper K, Dutsch-Wicherek MM, Jozwicki W. High tumor cell vimentin expression indicates prolonged survival in patients with ovarian malignant tumors. Ginekol Pol. 90, 11–19 (2019).
    doi: 10.5603/GP.2019.0003pubmed: 30756366google scholar: lookup
  32. Wagley Y. Canonical Notch signaling is required for bone morphogenetic protein-mediated human osteoblast differentiation. Stem Cells 38, 1332–1347 (2020).
    doi: 10.1002/stem.3245pubmed: 32535942google scholar: lookup
  33. Bramlage B, Kosciessa U, Doenecke D. Differential expression of the murine histone genes H3.3A and H3.3B. Differentiation 62, 13–20 (1997).
    doi: 10.1046/j.1432-0436.1997.6210013.xpubmed: 9373943google scholar: lookup
  34. Islam S, Watanabe H. Versican: A dynamic regulator of the extracellular matrix. J. Histochem. Cytochem. 68, 763–775 (2020).
    doi: 10.1369/0022155420953922pmc: PMC7649968pubmed: 33131383google scholar: lookup
  35. Wight TN. Versican-A critical extracellular matrix regulator of immunity and inflammation. Front. Immunol. 11, 512 (2020).
    doi: 10.3389/fimmu.2020.00512pmc: PMC7105702pubmed: 32265939google scholar: lookup
  36. Klaas M. Thrombospondin-4 is a soluble dermal inflammatory signal that selectively promotes fibroblast migration and keratinocyte proliferation for skin regeneration and wound healing. Front. Cell Dev. Biol. 9, 745637 (2021).
    doi: 10.3389/fcell.2021.745637pmc: PMC8495264pubmed: 34631719google scholar: lookup
  37. Nolan K. Structure of neuroblastoma suppressor of tumorigenicity 1 (NBL1): Insights for the functional variability across bone morphogenetic protein (BMP) antagonists. J Biol. Chem. 290, 4759–4771 (2015).
    doi: 10.1074/jbc.M114.628412pmc: PMC4335214pubmed: 25561725google scholar: lookup
  38. Dong Y, Ding D, Gu J, Chen M, Li S. Alpha-2 Heremans schmid glycoprotein (AHSG) promotes the proliferation of bladder cancer cells by regulating the TGF-beta signalling pathway. Bioengineered 13, 14282–14298 (2022).
    doi: 10.1080/21655979.2022.2081465pmc: PMC9342194pubmed: 35746836google scholar: lookup
  39. Budna J. Does porcine oocytes maturation in vitro is regulated by genes involved in transforming growth factor beta receptor signaling pathway?. Med. J. Cell Biol. 5, 1–14 (2017).
  40. Waghu FH. FSHR antagonists can trigger a PCOS-like state. Syst. Biol. Reprod. Med. 68, 129–137 (2022).
    doi: 10.1080/19396368.2021.2010837pubmed: 34967272google scholar: lookup
  41. Yu Y, Wang W, Lu W, Chen W, Shang A. Inhibin beta-A (INHBA) induces epithelial-mesenchymal transition and accelerates the motility of breast cancer cells by activating the TGF-beta signaling pathway. Bioengineered 12, 4681–4696 (2021).
    doi: 10.1080/21655979.2021.1957754pmc: PMC8806747pubmed: 34346300google scholar: lookup
  42. Wijayarathna R, de Kretser DM. Activins in reproductive biology and beyond. Human Reprod. Update 22, 342–357 (2016).
    doi: 10.1093/humupd/dmv058pubmed: 26884470google scholar: lookup
  43. Hui DY. Group 1B phospholipase A(2) in metabolic and inflammatory disease modulation. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 784–788, 2019 (1864).
    doi: 10.1016/j.bbalip.2018.07.001pmc: PMC6328335pubmed: 30003964google scholar: lookup
  44. Wen Y, Shang Y, Wang Q. Exploration of the mechanism of linoleic acid metabolism dysregulation in metabolic syndrome. Genet. Res. (Camb) 6793346, 2022 (2022).
    doi: 10.1155/2022/6793346pmc: PMC9722286pubmed: 36518097google scholar: lookup
  45. Gao JB. Fibulin-5 protects the extracellular matrix of chondrocytes by inhibiting the Wnt/beta-catenin signaling pathway and relieves osteoarthritis. Eur. Rev. Med. Pharmacol. Sci. 24, 5249–5258 (2020).
    doi: 10.26355/eurrev_202005_21307pubmed: 32495858google scholar: lookup
  46. Tang JC, Xie AY, Cai XJ. Diverse functions of fibulin-5 in tumors. Mol. Biol. (Mosk) 48, 875–880 (2014).
    doi: 10.7868/s0026898414060172pubmed: 25845228google scholar: lookup
  47. Won SY. Fibulin 5, a human Wharton’s jelly-derived mesenchymal stem cells-secreted paracrine factor, attenuates peripheral nervous system myelination defects through the Integrin-RAC1 signaling axis. Stem Cells 38, 1578–1593 (2020).
    doi: 10.1002/stem.3287pmc: PMC7756588pubmed: 33107705google scholar: lookup
  48. Álvarez-Satta M, Castro-Sánchez S, Valverde D. Bardet-Biedl syndrome as a Chaperonopathy: Dissecting the major role of chaperonin-like BBS proteins (BBS6-BBS10-BBS12). Front. Mol. Biosci. 4, 55 (2017).
    doi: 10.3389/fmolb.2017.00055pmc: PMC5534436pubmed: 28824921google scholar: lookup
  49. Lai FN. Phosphatidylcholine could protect the defect of zearalenone exposure on follicular development and oocyte maturation. Aging (Albany NY) 10, 3486–3506 (2018).
    doi: 10.18632/aging.101660pmc: PMC6286824pubmed: 30472698google scholar: lookup
  50. Minen RI, Thirumalaikumar VP, Skirycz A. Proteinogenic dipeptides, an emerging class of small-molecule regulators. Curr. Opin. Plant Biol. 75, 102395 (2023).
    doi: 10.1016/j.pbi.2023.102395pubmed: 37311365google scholar: lookup
  51. Rivera-Jimenez J. Peptides and protein hydrolysates exhibiting anti-inflammatory activity: sources, structural features and modulation mechanisms. Food Funct. 13, 12510–12540 (2022).
    doi: 10.1039/d2fo02223kpubmed: 36420754google scholar: lookup
  52. Bou Nemer L, Shi H, Carr BR, Word RA, Bukulmez O. Effect of body weight on metabolic hormones and fatty acid metabolism in follicular fluid of women undergoing in vitro fertilization: A pilot study. Reprod Sci 26, 404–411 (2019).
    doi: 10.1177/1933719118776787pubmed: 29779472google scholar: lookup
  53. Belury MA. Inhibition of carcinogenesis by conjugated linoleic acid: Potential mechanisms of action. J Nutr 132, 2995–2998 (2002).
    doi: 10.1093/jn/131.10.2995pubmed: 12368384google scholar: lookup
  54. Jia B. Trans-10, cis-12 conjugated linoleic acid enhances in vitro maturation of porcine oocytes. Mol. Reprod. Dev. 81, 20–30 (2014).
    doi: 10.1002/mrd.22273pubmed: 24167106google scholar: lookup
  55. Wisniewski JR, Zougman A, Nagaraj N, Mann M. Universal sample preparation method for proteome analysis. Nat Methods 6, 359–362 (2009).
    doi: 10.1038/nmeth.1322pubmed: 19377485google scholar: lookup
  56. Kanehisa M, Goto S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27–30 (2000).
    doi: 10.1093/nar/28.1.27pmc: PMC102409pubmed: 10592173google scholar: lookup
  57. Kanehisa M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. 28, 1947–1951 (2019).
    doi: 10.1002/pro.3715pmc: PMC6798127pubmed: 31441146google scholar: lookup
  58. Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51, D587–D592 (2023).
    doi: 10.1093/nar/gkac963pmc: PMC9825424pubmed: 36300620google scholar: lookup
Subscribe to our newsletter
Join 99,344 horse owners like you who receive our email updates on horse health and nutrition.