Polycystic ovary syndrome (PCOS), characterized by oligo-anovulation and androgen excess is considered a high-risk condition for metabolic disorders. Herein, untargeted metabolomics analysis was applied to women with PCOS, aiming to provide deeper insights into lipidomics biomarkers signature of PCOS, for better diagnosis and management. This was a cross-sectional study in which 15 Caucasian women with PCOS and 15 Caucasian healthy, age-matched women were enrolled. Lipidomics analysis was performed using Ultra-High Performance Liquid Chromatography-Quadrupole Time of Flight Electrospray Mass Spectrometry. Partial Least Squares Discriminant Analysis retrieved the most important discriminative metabolites. Significantly increased levels of triacylglycerol (18:2/18:2/0-18:0) in addition to cholestane-3beta, 5alpha, 6beta-triol (18:0/0:0) and cholestane-5alpha (18:1/0:0) appeared as valuable variables to differentiate subjects with PCOS from controls. Acyl-carnitine 2-hydroxylauroylcarnitine was significantly elevated in PCOS in opposition to decreased phosphocholines metabolites (18:1/18:4, 18:3/18:2), to suggest a metabolic pattern linked to lipid peroxidation. A high fat intake or reduced fat energy consumption during nighttime due to diminished ability to switch to lipid oxidation during fasting time possibly contribute to hypertriglyceridemia found in PCOS. Furthermore, inflammatory mediators including metabolites of the prostaglandin (PG) E2 pathway and oxo-leukotrienes (LT) were increased in patients with PCOS. Potential lipidomics biomarkers were identified that could stratify between women with PCOS and healthy controls. The results show particular alterations in acylglycerols, PGs and LTs and phosphocholines and carnitine metabolites. The lipidomics profiles of PCOS indicate a higher risk of developing metabolic diseases.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/00365513.2019.1658215 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Assessment of the effects of cadmium, samarium and gadolinium on the blue mussel (Mytilus edulis): A biochemical, transcriptomic and metabolomic approach.
Aquat Toxicol
January 2025
Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, Nantes F-44000, France.
Improving the understanding of how chemicals affect on organisms and assessing the associated environmental risks is of major interest in environmental studies. This can be achieved by using complementary approaches based on the study of the molecular responses of organisms. Because of the known chemical pressures on the environment, regulations on the content of some chemicals, such as cadmium, have been mostly completed.
View Article and Find Full Text PDFCoal Worker's Pneumoconiosis-Targeted Lipidomics Reveals Aberrant Phospholipid Metabolism for Early-Stage Diagnosis.
China CDC Wkly
December 2024
NHC Key Laboratory of Pneumoconiosis, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Key Laboratory of Respiratory Diseases, The First Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, China.
Introduction: Pneumoconiosis is the most prevalent occupational disease in China, with coal worker pneumoconiosis (CWP) demonstrating the highest incidence. Studies have indicated that phospholipids may be associated with CWP.
Methods: In this study, serum was obtained from 62 patients with pneumoconiosis, 105 coal dust-exposed workers, and 50 healthy individuals and analyzed via targeted lipidomics using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS).
Chronodisruption that dampens output of the central clock abolishes rhythms in metabolome profiles and elevates acylcarnitine levels in the liver of female rats.
Acta Physiol (Oxf)
February 2025
Laboratory of Biological Rhythms, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.
Aim: Exposure to light at night and meal time misaligned with the light/dark (LD) cycle-typical features of daily life in modern 24/7 society-are associated with negative effects on health. To understand the mechanism, we developed a novel protocol of complex chronodisruption (CD) in which we exposed female rats to four weekly cycles consisting of 5-day intervals of constant light and 2-day intervals of food access restricted to the light phase of the 12:12 LD cycle.
Methods: We examined the effects of CD on behavior, estrous cycle, sleep patterns, glucose homeostasis and profiles of clock- and metabolism-related gene expression (using RT qPCR) and liver metabolome and lipidome (using untargeted metabolomic and lipidomic profiling).
The associations between prenatal plastic phthalate exposure and lipid acylcarnitine levels in humans and mice.
Reprod Toxicol
January 2025
Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia. Electronic address:
Phthalates are ubiquitous environmental pollutants known for their endocrine-disrupting properties, particularly during critical periods such as pregnancy and early childhood. Phthalates alter lipid metabolism, but the role of prenatal exposure on the offspring lipidome is less understood. In particular, we focused on long chain acylcarnitines - intermediates of fatty acid oxidation that serve as potential biomarkers of mitochondrial function and energy metabolism.
View Article and Find Full Text PDFEnhancing lipid identification in LC-HRMS data through machine learning-based retention time prediction.
J Chromatogr A
January 2025
National Institute of Oceanography and Fisheries, NIOF, Cairo, Egypt. Electronic address:
The comprehensive identification of peaks in untargeted lipidomics using LC-MS/MS remains a significant challenge. Confidence in lipid annotation can be greatly improved by integrating a highly accurate machine learning-based retention time prediction model. Such an approach enables the identification of lipids for understanding pathogenic mechanisms, biomarker discovery, and drug screening.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!