1
|
Joshi M, Kumar V, Singh D, Onteru SK. Taurine dynamics in serum during the oestrous cycle in buffaloes. Reprod Domest Anim 2024; 59:e14560. [PMID: 38595035 DOI: 10.1111/rda.14560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/01/2024] [Accepted: 03/22/2024] [Indexed: 04/11/2024]
Abstract
Estrus identification is one of the common issues in buffaloes because of their short estrus duration and silent estrus problem. Hence, specific biomarkers facilitating in identifying the estrus stage would be helpful to buffalo farmers and researchers. In our previous studies, taurine, a non-protein amino acid that helps in the secretion of reproductive hormones such as GnRH, was found to be associated with postpartum anestrus in buffaloes. Therefore, the present study was conducted to explore the level of taurine in serum during different stages of the oestrous cycle in healthy cyclic buffaloes. Blood samples were collected from healthy cyclic buffaloes (n = 4), and taurine was estimated at the estrus (0th day), proestrus (-2nd day), metestrus (3rd day) and diestrus (+10th day) stages using TLC method. The days of the oestrous cycle were determined by ultrasonography and observation of behavioural signs by trained professionals. The results revealed that taurine was consistently present in the serum. However, the highest concentration of taurine was observed at the proestrus (0.20 ± 0.03 mg/mL) stage, which was greater (p < .05) than metestrus (0.10 ± 0.05 mg/mL) and diestrus (0.13 ± 0.03 mg/mL) stages, but comparable with the estrus stage. These results were also validated in the simulated population datasets of population size 6 to 10,000. Further, ROC curve analysis for the large simulated population indicated the efficiency of taurine to distinguish proestrus from metestrus and diestrus stages at a lower cutoff value of <0.1643 mg/mL with 60% sensitivity and specificity. Therefore, the present study concludes that serum taurine concentration could help in detecting proestrus stage of buffalo estrous cycle.
Collapse
Affiliation(s)
- Mansi Joshi
- Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Varun Kumar
- Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Dheer Singh
- Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Suneel Kumar Onteru
- Molecular Endocrinology, Functional Genomics & Systems Biology Laboratory, Animal Biochemistry Division, ICAR-National Dairy Research Institute, Karnal, Haryana, India
| |
Collapse
|
2
|
Bresnahan DR, Catandi GD, Peters SO, Maclellan LJ, Broeckling CD, Carnevale EM. Maturation and culture affect the metabolomic profile of oocytes and follicular cells in young and old mares. Front Cell Dev Biol 2024; 11:1280998. [PMID: 38283993 PMCID: PMC10811030 DOI: 10.3389/fcell.2023.1280998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/22/2023] [Indexed: 01/30/2024] Open
Abstract
Introduction: Oocytes and follicular somatic cells within the ovarian follicle are altered during maturation and after exposure to culture in vitro. In the present study, we used a nontargeted metabolomics approach to assess changes in oocytes, cumulus cells, and granulosa cells from dominant, follicular-phase follicles in young and old mares. Methods: Samples were collected at three stages associated with oocyte maturation: (1) GV, germinal vesicle stage, prior to the induction of follicle/oocyte maturation in vivo; (2) MI, metaphase I, maturing, collected 24 h after induction of maturation in vivo; and (3) MIIC, metaphase II, mature with collection 24 h after induction of maturation in vivo plus 18 h of culture in vitro. Samples were analyzed using gas and liquid chromatography coupled to mass spectrometry only when all three stages of a specific cell type were obtained from the same mare. Results and Discussion: Significant differences in metabolite abundance were most often associated with MIIC, with some of the differences appearing to be linked to the final stage of maturation and others to exposure to culture medium. While differences occurred for many metabolite groups, some of the most notable were detected for energy and lipid metabolism and amino acid abundance. The study demonstrated that metabolomics has potential to aid in optimizing culture methods and evaluating cell culture additives to support differences in COCs associated with maternal factors.
Collapse
Affiliation(s)
- D R Bresnahan
- Department of Animal Sciences, Berry College, Mount Berry, GA, United States
| | - G D Catandi
- Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States
| | - S O Peters
- Department of Animal Sciences, Berry College, Mount Berry, GA, United States
| | - L J Maclellan
- Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States
| | - C D Broeckling
- Proteomic and Metabolomics Core Facility, Colorado State University, Fort Collins, CO, United States
| | - E M Carnevale
- Department of Biomedical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, United States
| |
Collapse
|
3
|
Catalán J, Yánez-Ortiz I, Martínez-Rodero I, Mateo-Otero Y, Nolis P, Yeste M, Miró J. Comparison of the metabolite profile of donkey and horse seminal plasma and its relationship with sperm viability and motility. Res Vet Sci 2023; 165:105046. [PMID: 37883856 DOI: 10.1016/j.rvsc.2023.105046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/25/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023]
Abstract
Previous research revealed that several seminal plasma (SP) metabolites are related to sperm functionality, fertility, and preservation. While it is understood that variations between species exist, whether the SP metabolome differs between donkeys and horses has not been previously investigated. The aim of this work, therefore, was to characterize and compare donkey and horse SP metabolites using nuclear magnetic resonance (NMR) spectroscopy, and relate them to sperm viability and motility. For this purpose, ejaculates from 18 different donkeys and 18 different horses were collected and separated into two aliquots: one for harvesting the SP by centrifugation and obtaining the metabolic profile through NMR, and the other for evaluating sperm viability and motility. Based on total motility and sperm viability, samples were classified as with good (GQ) or poor (PQ) quality. The metabolomic profile of donkey and horse SP revealed the presence of 28 metabolites, which coincided in the two species. Yet, differences between horses and donkeys were observed in the concentration of 18 of these 28 metabolites, as well as between ejaculates classified as GQ or PQ and in the relationship of metabolites with sperm motility and viability. These findings suggest that sperm from donkeys and horses differ in their metabolism and energetic requirements, and that the concentration of specific SP metabolites may be related to sperm functionality. Further research should shed light on the metabolic needs of donkey and horse sperm, and evaluate how the knowledge collected from the contribution of these metabolites can help improve semen preservation in the two species.
Collapse
Affiliation(s)
- Jaime Catalán
- Biotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, ES-17003 Girona, Spain; Unit of Cell Biology, Department of Biology, Faculty of Sciences, University of Girona, ES-17003 Girona, Spain; Unit of Animal Reproduction, Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Autonomous University of Barcelona, ES-08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Iván Yánez-Ortiz
- Biotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, ES-17003 Girona, Spain; Unit of Cell Biology, Department of Biology, Faculty of Sciences, University of Girona, ES-17003 Girona, Spain; Unit of Animal Reproduction, Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Autonomous University of Barcelona, ES-08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Iris Martínez-Rodero
- Unit of Animal Reproduction, Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Autonomous University of Barcelona, ES-08193 Cerdanyola del Vallès, Barcelona, Spain
| | - Yentel Mateo-Otero
- Biotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, ES-17003 Girona, Spain; Unit of Cell Biology, Department of Biology, Faculty of Sciences, University of Girona, ES-17003 Girona, Spain
| | - Pau Nolis
- Nuclear Magnetic Resonance Facility, Autonomous University of Barcelona, Bellaterra, ES-08193, Cerdanyola del Vallès, Spain
| | - Marc Yeste
- Biotechnology of Animal and Human Reproduction (TechnoSperm), Institute of Food and Agricultural Technology, University of Girona, ES-17003 Girona, Spain; Unit of Cell Biology, Department of Biology, Faculty of Sciences, University of Girona, ES-17003 Girona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), ES-08010 Barcelona, Spain.
| | - Jordi Miró
- Unit of Animal Reproduction, Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Autonomous University of Barcelona, ES-08193 Cerdanyola del Vallès, Barcelona, Spain.
| |
Collapse
|
4
|
Li X, He Y, Wu S, Zhang P, Gan M, Chen L, Zhao Y, Niu L, Zhang S, Jiang Y, Guo Z, Wang J, Shen L, Zhu L. Regulation of SIRT1 in Ovarian Function: PCOS Treatment. Curr Issues Mol Biol 2023; 45:2073-2089. [PMID: 36975503 PMCID: PMC10047008 DOI: 10.3390/cimb45030133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023] Open
Abstract
The sirtuin family, a group of NAD+-dependent class 3 histone deacetylases (HDACs), was extensively studied initially as a group of longevity genes that are activated in caloric restriction and act in concert with nicotinamide adenine dinucleotides to extend the lifespan. Subsequent studies have found that sirtuins are involved in various physiological processes, including cell proliferation, apoptosis, cell cycle progression, and insulin signaling, and they have been extensively studied as cancer genes. In recent years, it has been found that caloric restriction increases ovarian reserves, suggesting that sirtuins may play a regulatory role in reproductive capacity, and interest in the sirtuin family has continued to increase. The purpose of this paper is to summarize the existing studies and analyze the role and mechanism of SIRT1, a member of the sirtuin family, in regulating ovarian function. Research and review on the positive regulation of SIRT1 in ovarian function and its therapeutic effect on PCOS syndrome.
Collapse
Affiliation(s)
- Xinrong Li
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yuxu He
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Shuang Wu
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Peiwen Zhang
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Mailin Gan
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lei Chen
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Ye Zhao
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Lili Niu
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Shunhua Zhang
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Yanzhi Jiang
- College of Life Science, Sichuan Agricultural University, Chengdu 611130, China
| | - Zongyi Guo
- Chongqing Academy of Animal Science, Rongchang, Chongqing 402460, China
| | - Jinyong Wang
- Chongqing Academy of Animal Science, Rongchang, Chongqing 402460, China
| | - Linyuan Shen
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
- Correspondence: (L.S.); (L.Z.)
| | - Li Zhu
- Department of Animal Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China
- Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
- Correspondence: (L.S.); (L.Z.)
| |
Collapse
|