Serum Metabolomic Signature Predicts Ovarian Response to Controlled Stimulation
Horm Metab Res 2022; 54: 625-632 DOI: 10.1055/a-1882-3967In in vitro fertilization (IVF), it is meaningful to find novel biomarkers
predicting ovarian response in advance. The aim of the study was to identify
serum metabolomics predicting ovarian response after controlled ovarian
stimulation (COS). Blood samples collected at the start of pituitary
downregulation and on the fifth day after COS using Liquid chromatography-tandem
mass spectrometry (LC-MS/MS) methods were analyzed to quantify
metabolites. Demographic data were calculated with SPSS version 22.0 software.
Multivariate statistics were used to analyze metabolomics dataset. A receiver
operating characteristic (ROC) curve was used to evaluate the diagnostic model.
Analyses revealed 50 different metabolomics between the pre- and post-COS
groups. Compared with baseline, amino acids increased significantly following
COS. At baseline, acetylglycine was more abundant in FOI<1 group, while
glycine and lipids increased in FOI≥1 group. After COS, glycine,
N-acetyl-L-alanine, D-alanine, and 2-aminomuconic acid were higher in those with
FOI≥1, but L-glutamine was abundant in FOI<1. ROC curves
indicated that combination of glycine, acetylglycine, and lipids predicts
different responses to COS (AUC=0.866). Serum metabolism might reflect
the response to o...
Source: Hormone and Metabolic Research - Category: Endocrinology Authors: Mu, Xin Pei, Mei-li Zhu, Feng Shi, Juan Zi Liu, Peijun Tags: Original Article: Endocrine Research Source Type: research