Objective: To evaluate the metabolic profile of Chilean and Argentinian women with polycystic ovary syndrome (PCOS) according to the Rotterdam criteria.
Design: Observational cross-sectional study.
Setting: Academic centers.
Patient(s): Women with PCOS, aged 18-39 years: 220 Chilean (PCOSCh) and 206 Argentinian (PCOSAr).
Intervention(s): Physical examination, fasting blood samples for androgens, gonadotropins, metabolic parameters, and a transvaginal ultrasound.
Main Outcome Measure(s): Comparative analysis of the metabolic profile in both populations divided into four phenotypes.
Result(s): The distribution of the different phenotypes was different in both populations. PCOSCh women showed a higher body mass index and a higher percentage of metabolic syndrome in all phenotypes compared with the PCOSAr women. The PCOSAr women exhibited a statistically significantly higher diastolic blood pressure in phenotypes A, B, and C and a higher percentage of hypertension in phenotypes A and D compared with the PCOSCh women.
Conclusion(s): The data show differences in the metabolic profile of both populations. PCOSCh women presented with greater metabolic alterations such as dysglycemia and dyslipidemia and a higher prevalence of metabolic syndrome, independent of the phenotype. The PCOSAr patients showed more elevated blood pressure. Ethnic diversity associated with environmental factors are fundamental elements in the analysis of the PCOS phenotypes.
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http://dx.doi.org/10.1016/j.fertnstert.2014.02.020 | DOI Listing |
Anal Bioanal Chem
January 2025
Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.
Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.
View Article and Find Full Text PDFMetabolomics
January 2025
Bioanalysis and Drug Discovery, Faculty of Pharmacy, RD3 Unit of Pharmacognosy, Université Libre de Bruxelles, Bd du Triomphe, Campus Plaine, CP 205/09, 1050, Brussels, Belgium.
Introduction: ZenoTOF is new class of high-resolution mass spectrometer that combines resolution and sensitivity. This mass spectrometer is well designed to perform metabolomics.
Methods: In this context, we compared the performance of ZenoTOF 7600 system (Sciex) with QTOF6520 (Agilent Technologies) through the leaf metabolome analysis of two Coffea species, namely C.
Plant Biotechnol J
January 2025
Key Laboratory of Soybean Biology of Ministry of Education China, Key Laboratory of Soybean Biology and Breeding (Genetics) of Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin, China.
Soybean cyst nematode (SCN, Heterodera glycines) is a major pathogen harmful to soybean all over the world, causing huge yield loss every year. Soybean resistance to SCN is a complex quantitative trait controlled by a small number of major genes (rhg1 and Rhg4) and multiple micro-effect genes. Therefore, the continuous identification of new resistant lines and genes is needed for the sustainable development of global soybean production.
View Article and Find Full Text PDFJ Neurochem
January 2025
Nantes Université, INRAE, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France.
Obesity leads to a number of health problems, including learning and memory deficits that can be passed on to the offspring via a developmental programming process. However, the mechanisms involved in the deleterious effects of obesity on cognition remain largely unknown. This study aimed to assess the impact of obesity on the production of sphingolipids (ceramides and sphingomyelins) in the brain and its relationship with the learning deficits displayed by obese individuals.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Health Examination Center, Affiliated Chuzhou Hospital of Anhui Medical University, First People's Hospital of Chuzhou, Chuzhou, China.
Parkinson's disease (PD) is a neurodegenerative disease involving multiple factors. We explored the connection between intestinal microbiome levels and PD by examining inflammatory cytokines, peripheral immune cell counts and plasma metabolomics as potential factors. By obtaining the Genome-Wide Association Study (GWAS) data needed for this study from GWAS Catalog, including summary data for 473 intestinal microbiota traits (N = 5959), 91 inflammatory cytokine traits (N = 14,824), 118 peripheral immune cell count traits (N = 3757), 1400 plasma metabolite traits (N = 8299) and PD traits (N = 482,730).
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