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Theriogenology2014; 83(6); 1048-1055; doi: 10.1016/j.theriogenology.2014.12.004

Number and density of equine preantral follicles in different ovarian histological section thicknesses.

Abstract: Regardless of species, advances in preantral follicle culture and cryopreservation and transplant of ovarian tissue techniques are dependent on the number and density of preantral follicles in the ovary. This study tested the effect of different histological section thicknesses on number, classification, and density of equine preantral follicles. An ovarian fragment was obtained from 5- to 10-year-old mares (n = 14) after slaughter, and each fragment was submitted to three histological section thickness treatments: 3, 5, and 7 μm. The area (cm(2)) of each ovarian fragment was measured, and the sections were evaluated by light microscopy. The percentage of morphologically normal follicles (89%) was similar (P > 0.05) among primordial, transitional, and primary follicles and also among histological section thicknesses. A greater (P < 0.05) number of preantral follicles per histological section were seen in the 7-μm (8.0 ± 2.2) than that in the 3-μm (3.4 ± 0.7) treatment. Furthermore, a linear regression analysis reported that the number of preantral follicles increased (P  0.05) between follicular density and treatment was observed. The mean number of preantral follicles per fragment (45.3 ± 18.8) and the follicular density (3.0 ± 0.5 follicles per cm(2)) were different (P < 0.05) among mares. In conclusion, this study on equine preantral follicles reported that (1) a 7-μm histological section thickness might be recommended because it allowed identification of a greater number of preantral follicles per sample, (2) a large individual variation in follicle population and density was detected regardless of histological section thickness, and (3) mares have a low number and density of preantral follicles when compared with those reported for other species.
Copyright © 2015 Elsevier Inc. All rights reserved.
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Publication Date: 2014-12-09 PubMed ID: 25628263DOI: 10.1016/j.theriogenology.2014.12.004Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

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.

This study is exploring the effect of differing histological section thicknesses when counting and classifying preantral follicles in the ovaries of horses. It suggests that using a thicker section allows for better identification of the follicles while also highlighting that there is a large variation in follicle count and density between individual horses.

Objective of the Research

  • The research is aimed at determining how different histological section thicknesses affect the count, classification, and density of preantral follicles in horse ovaries. The study was inspired by the enhancement of techniques in preantral follicle culture, cryopreservation, and ovarian tissue transplantation which are all reliant on the number and density of preantral follicles within the ovary.

Methodology

  • Ovarian fragments were obtained from 14 mares, aged 5 to 10, after slaughter. Three histological section thickness treatments (3, 5, and 7 micrometers) were applied to the fragments. The area of each fragment was measured and evaluated under a light microscope.

Findings

  • The study found that the percentage of morphologically normal follicles was similar across all follicle stages (primordial, transitional, primary) as well as across the different histological section thicknesses.
  • In terms of follicle identification, it was observed that a greater number of preantral follicles per histological section were identified in the 7-micrometer treatment than in the 3-micrometer treatment.
  • The number of preantral follicles identified was seen to increase with thicker section treatment, as revealed by a linear regression analysis.
  • However, there was no observed association between follicular density and the thickness of the histological section used in the study.
  • There was a large variation in follicle population and density among individual mares, regardless of the histological thickness applied. This suggests that the number of preantral follicles in mares can greatly vary.

Conclusion

  • The study concludes that a 7-micrometer histological section thickness might be recommended for identifying preantral follicles in mares due to it allowing the identification of a greater number of these follicles per sample.
  • It also noted that mares generally have a low number and density of preantral follicles in comparison to other species.

Cite This Article

APA
Alves KA, Alves BG, Rocha CD, Visonná M, Mohallem RF, Gastal MO, Jacomini JO, Beletti ME, Figueiredo JR, Gambarini ML, Gastal EL. (2014). Number and density of equine preantral follicles in different ovarian histological section thicknesses. Theriogenology, 83(6), 1048-1055. https://doi.org/10.1016/j.theriogenology.2014.12.004

Publication

Theriogenology
ISSN: 1879-3231
NlmUniqueID: 0421510
Country: United States
Language: English
Volume: 83
Issue: 6
Pages: 1048-1055
PII: S0093-691X(14)00677-3

Researcher Affiliations

Alves, K A
  • Department of Animal Science, Food and Nutrition, Southern Illinois University, Carbondale, Illinois, USA; Center for Studies and Research in Animal Reproductive Biology, College of Veterinary and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil.
Alves, B G
  • Department of Animal Science, Food and Nutrition, Southern Illinois University, Carbondale, Illinois, USA.
Rocha, C D
  • Laboratory of Animal Reproduction, Faculty of Veterinary Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Visonná, M
  • Laboratory of Animal Reproduction, Faculty of Veterinary Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Mohallem, R F F
  • Laboratory of Animal Reproduction, Faculty of Veterinary Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Gastal, M O
  • Department of Animal Science, Food and Nutrition, Southern Illinois University, Carbondale, Illinois, USA.
Jacomini, J O
  • Laboratory of Animal Reproduction, Faculty of Veterinary Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Beletti, M E
  • Laboratory of Animal Reproduction, Faculty of Veterinary Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Figueiredo, J R
  • Laboratory of Manipulation of Oocytes and Preantral Follicles (LAMOFOPA), Faculty of Veterinary Medicine, State University of Ceará, Fortaleza, Ceará, Brazil.
Gambarini, M L
  • Center for Studies and Research in Animal Reproductive Biology, College of Veterinary and Animal Science, Federal University of Goiás, Goiânia, Goiás, Brazil.
Gastal, E L
  • Department of Animal Science, Food and Nutrition, Southern Illinois University, Carbondale, Illinois, USA. Electronic address: egastal@siu.edu.

MeSH Terms

  • Animals
  • Female
  • Histological Techniques / veterinary
  • Horses / anatomy & histology
  • Horses / physiology
  • Ovarian Follicle / anatomy & histology

Citations

This article has been cited 10 times.
  1. Hyde KA, Aguiar FLN, Alvarenga PB, Rezende AL, Alves BG, Alves KA, Gastal GDA, Gastal MO, Gastal EL. Characterization of preantral follicle clustering and neighborhood patterns in the equine ovary. PLoS One 2022;17(10):e0275396.
    doi: 10.1371/journal.pone.0275396pubmed: 36194590google scholar: lookup
  2. Hyde KA, Aguiar FLN, Alves BG, Alves KA, Gastal GDA, Gastal MO, Gastal EL. Preantral follicle population and distribution in the horse ovary. Reprod Fertil 2022 Apr 1;3(2):90-102.
    doi: 10.1530/RAF-21-0100pubmed: 35706578google scholar: lookup
  3. Souza SS, Aguiar FLN, Alves BG, Alves KA, Brandão FAS, Brito DCC, Raposo RDS, Gastal MO, Rodrigues APR, Figueiredo JR, Teixeira DÍA, Gastal EL. Equine ovarian tissue xenografting: impacts of cooling, vitrification, and VEGF. Reprod Fertil 2021 Dec;2(4):251-266.
    doi: 10.1530/RAF-21-0008pubmed: 35118403google scholar: lookup
  4. Kong HS, Hong YH, Lee J, Youm HW, Lee JR, Suh CS, Kim SH. Antifreeze Protein Supplementation During the Warming of Vitrified Bovine Ovarian Tissue Can Improve the Ovarian Tissue Quality After Xenotransplantation. Front Endocrinol (Lausanne) 2021;12:672619.
    doi: 10.3389/fendo.2021.672619pubmed: 34122348google scholar: lookup
  5. Souza SS, Alves BG, Alves KA, Brandão FAS, Brito DCC, Gastal MO, Rodrigues APR, Figueireod JR, Teixeira DIA, Gastal EL. Heterotopic autotransplantation of ovarian tissue in a large animal model: Effects of cooling and VEGF. PLoS One 2020;15(11):e0241442.
    doi: 10.1371/journal.pone.0241442pubmed: 33147235google scholar: lookup
  6. Satué K, Fazio E, Medica P. Can the Presence of Ovarian Corpus Luteum Modify the Hormonal Composition of Follicular Fluid in Mares?. Animals (Basel) 2020 Apr 9;10(4).
    doi: 10.3390/ani10040646pubmed: 32283596google scholar: lookup
  7. Grady ST, Watts AE, Thompson JA, Penedo MCT, Konganti K, Hinrichs K. Effect of intra-ovarian injection of mesenchymal stem cells in aged mares. J Assist Reprod Genet 2019 Mar;36(3):543-556.
    doi: 10.1007/s10815-018-1371-6pubmed: 30470961google scholar: lookup
  8. Alves BG, Alves KA, Gastal GDA, Gastal MO, Figueiredo JR, Gastal EL. Spatial distribution of preantral follicles in the equine ovary. PLoS One 2018;13(6):e0198108.
    doi: 10.1371/journal.pone.0198108pubmed: 29897931google scholar: lookup
  9. Duncan FE, Zelinski M, Gunn AH, Pahnke JE, O'Neill CL, Songsasen N, Woodruff RI, Woodruff TK. Ovarian tissue transport to expand access to fertility preservation: from animals to clinical practice. Reproduction 2016 Dec;152(6):R201-R210.
    doi: 10.1530/REP-15-0598pubmed: 27492079google scholar: lookup
  10. Alves KA, Alves BG, Gastal GD, de Tarso SG, Gastal MO, Figueiredo JR, Gambarini ML, Gastal EL. The Mare Model to Study the Effects of Ovarian Dynamics on Preantral Follicle Features. PLoS One 2016;11(2):e0149693.
    doi: 10.1371/journal.pone.0149693pubmed: 26900687google scholar: lookup
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