The global prevalence of insulin resistance (IR) is increasing continuously, influencing metabolic parameters and fertility. The metabolic changes due to IR can alter the molecular composition of plasma and other body fluids. Follicular fluid (FF) is derived mainly from plasma, and it is a critical microenvironment for the developing oocytes. It contains various metabolites and amino acids, and the quality of the oocytes is linked at least partially to amino acid metabolism. Our goal was to quantitatively determine the amino acid (AA) profile of FF in IVF patients and to compare IR and non-insulin resistance (NIR) groups to investigate the AA changes in their FF. Using UHPLC-based methods, we quantified the main 20 amino acids from human FF samples in the IR and NIR groups. Several amino acids (aspartate, glycine, glutamate, and cysteine) differed significantly ( < 0.05 or less) between the two groups. The most significant alterations between the IR and NIR groups were related to the glutathione metabolic pathway involving glycine, serine, and threonine. Since insulin resistance alters the amino acid composition of the FF, the oocytes may undergo metabolism-induced changes resulting in poor oocyte quality and less fertility in the insulin resistance groups.
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http://dx.doi.org/10.3390/ijms241512458 | DOI Listing |
Cent Eur J Public Health
December 2024
Department of Public Health and Hygiene, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Kosice, Slovak Republic.
Objective: This study aims to describe the outcomes of COVID-19 patients treated with molnupiravir and to explore the associations with various risk factors.
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Metabolomics
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Laboratory of Applied Mass Spectrometry, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Introduction: Hemodynamic forces play a crucial role in modulating endothelial cell (EC) behavior, significantly influencing blood vessel responses. While traditional in vitro studies often explore ECs under static conditions, ECs are exposed to various hemodynamic forces in vivo. This study investigates how wall shear stress (WSS) influences EC metabolism, focusing on the interplay between WSS and key metabolic pathways.
View Article and Find Full Text PDFPhotosynth Res
January 2025
Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia.
The Orange Carotenoid Protein (OCP) is a unique water-soluble photoactive protein that plays a critical role in regulating the balance between light harvesting and photoprotective responses in cyanobacteria. The challenge in understanding OCP´s photoactivation mechanism stems from the heterogeneity of the initial configurations of its embedded ketocarotenoid, which in the dark-adapted state can form up to two hydrogen bonds to critical amino acids in the protein's C-terminal domain, and the extremely low quantum yield of primary photoproduct formation. While a series of experiments involving point mutations within these contacts helped us to identify these challenges, they did not resolve them.
View Article and Find Full Text PDFBull Environ Contam Toxicol
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College of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Ionic liquids (ILs) are widely used "green solvent" as they have a low vapor pressure and can replace volatile solvents in industry. However, ILs are difficult to biodegrade and are potentially harmful to the environment. This study, herein, investigated the toxicity of three imidazole ILs ([CMIM]Cl, [CMIM]Br, and [CDMIM]Br) towards soil microorganisms.
View Article and Find Full Text PDFJ Mol Evol
January 2025
University of Engineering and Technology, Vietnam National University, 144 Xuan Thuy, Cau Giay, 10000, Hanoi, Vietnam.
One of the most important and difficult challenges in the research of molecular evolution is modeling the process of amino acid substitutions. Although single-matrix models, such as the LG model, are popular, their capability to properly capture the heterogeneity of the substitution process across sites is still questioned. Several mixture models with multiple matrices have been introduced and shown to offer advantages over single-matrix models.
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