Comparison of metabolites in the follicular fluid of bovine preovulatory and cystic ovarian follicles using nuclear magnetic resonance

MANDEEP SINGH; MRIGANK HONPARKHE; AJEET KUMAR; SUMIT SINGHAL

doi:10.56093/ijans.v88i3.78261

Authors

MANDEEP SINGH Veterinary Officer, VP & RRTC, Kaljharani, Bathinda
MRIGANK HONPARKHE Gynaecologist, Department of Veterinary Gynaecology and Obstetrics, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141 001 India
AJEET KUMAR Assistant Professor, Department of Veterinary Gynaecology and Obstetrics, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141 001 India
SUMIT SINGHAL Assistant Professor, Department of Veterinary Gynaecology and Obstetrics, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab 141 001 India

https://doi.org/10.56093/ijans.v88i3.78261

Keywords:

Cattle, Cystic ovarian follicle, Follicular fluid, Metabolomics, Nuclear magnetic resonance, Transvaginal ablation

Abstract

Estimation of metabolites in cystic and normal preovulatory follicular fluid through proton Nuclear Magnetic Resonance (¹H NMR) in cattle suffering from cystic ovarian follicle is highly desirable.The trans-vaginal ultrasound guided ablation was used to collect follicular fluid from cystic (15) and normally cycling (8) dairy cattle. NMR spectra of both fluids were recorded at a resonance frequency of 500.13 MHz on a Bruker Avance-500 spectrometer equipped with solid state probe (5 mm). Spectra were phased manually, baseline corrected, and calibrated against 3-(trimethylsilyl) propionic-2,2,3,3-d₄ acid at 0.0 parts per million (ppm) using Prometab software running within MATLAB. The cystic ovarian follicle associated metabolites with variable importance in projection (VIP) scores >2 were lactate (1.98 ppm), UDP-G (5.62), pyruvate (2.34 and 2.38) and creatinine/creatine (3.14) in cystic and normal preovulatory follicular fluid.These metabolites showed identifiable peaks, and thus can be used as potential biomarkers for dairy cattle suffering from cystic ovarian follicle.

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