ISSN Print 2500–1094
ISSN Online 2542–1204
Bulletin of RSMU
BIOMEDICAL JOURNAL OF PIROGOV UNIVERSITY (MOSCOW, RUSSIA)
ORIGINAL RESEARCH
Amino acid profile in diminished ovarian reserve
About authors
1 Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
2 Siberian State Medical University, Tomsk, Russia
Correspondence should be addressed: Alla A. Gavisova
Akademika Oparina, 4, Moscow, 117997, Russia; ur.ay@allaivag
About paper
Author contribution: Gavisova AA — study design, data acquisition and processing, manuscript writing, editing; Shevtsova MA, Biryukova DA, Lvova PO — study design, data acquisition and processing, literature review, manuscript writing, editing; Novoselova AV, Yushina MN — developing the LC-MS method for analysis of amino acids in blood plasma and follicular fluid, experimental data processing; Ibragimova MH — data acquisition, editing; Chagovets VV, Frankevich VE — statistical data processing, editing.
Compliance with ethical standards: the study was approved by the Ethics Committee of the Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology (protocol № 12 dated 25 November 2021).
Received: 2024-03-27
Accepted: 2024-04-22
Published online: 2024-04-30
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Fig. 1. Map of metabolic pathways involving amino acids showing significant differences in the blood plasma and follicular fluid levels between groups (Kyoto Encyclopedia of Genes and Genomes, KEGG): 1 — biosynthesis of phenylalanine, tyrosine and tryptophan; 2 — phenylalanine metabolism; 3 — biosynthesis of arginine; 4 — tryptophan metabolism; 5 — alanine, aspartate and glutamate metabolism; 6 — arginine and proline metabolism; 7 — cysteine and methionine metabolism; 8 — biosynthesis of aminoacyl-tRNA. Small Molecule Pathway Database (SMPDB): 1 — aspartate metabolism; 2 — urea cycle; 3 — arginine and proline metabolism; 4 — ammonia processing; 5 — biotin metabolism.). The Y-axis and the node color reflect statistical significance of the identified amino acids’ involvement in appropriate metabolic pathways; the x-axis and the node radius reflect the studied metabolites’ effect of the pathway
Fig. 2. ROC analysis of the logistic regression models for determination of DOR based on the blood plasma and follicular fluid amino acid composition
Fig. 3. Comparison of the amino acid profiles of blood plasma (А, C) and follicular fluid (B, D) in the groups DOR 21–34, DOR >35 (А, B), NOR 21–34 and NOR >35 (C, D)
Table 1. Clinical characteristics of women included in the study
Note: * — M (SD), t-test; * * — Mann–Whitney U test; * * * — median (interquartile range).
Table 2. Involvement of the amino acids characterizing DOR in metabolic pathways
Note: FDR — false discovery rate.
Table 3. Logistic regression models constructed based on the amino acid levels in blood plasma and follicular fluid
