Considering that the data available on the cardiovascular (CV) risk of metabolically healthy obesity phenotype, and the effect of transition to an unhealthy status are inconsistent, the aim of this study was to investigate the possible role of transition to unhealthy status among metabolically healthy overweight/obese (MHO) subjects on CVD incidence over a median follow-up of 15.9 years. In this large population-based cohort, 6758 participants (41.6% men) aged ≥ 20 years, were enrolled. Participants were divided into 4 groups based on their obesity phenotypes and follow-up results, including persistent metabolically healthy normal weight (MHNW), persistent MHO, transitional MHO and metabolically unhealthy overweight/obese (MUO). Metabolic health was defined as not having metabolic syndrome based on the Joint Interim Statement (JIS) criteria. Multivariable adjusted hazard ratios (HRs) were calculated for cardiovascular events. During follow-up, rate of CVD Incidence per 1000 person-years were 12 and 7 in males and females, respectively. Multivariable adjusted HRs (CI 95%) of CVD incidence among males and females were 1.37 (.78-2.41) and .85 (.34-2.15) in persistent MHO group, 1.55 (1.02-2.37) and .93 (.41-2.12) in transitional MHO group and 2.64 (1.89-3.70) and 2.65 (1.24-5.68) in MUO group. Our findings showed that CVD risk did not increase in the persistent MHO phenotype over a 15.9-year follow-up in both sexes. However, transition from MHO to MUO status during follow-up increased the CVD risk just in male individuals. Further studies are needed to provide conclusive evidence in favor of benign nature of transitional MHO phenotype in females.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500968 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0239164 | PLOS |
Background: Urine neutrophil gelatinase-associated lipocalin (uNGAL) is a biomarker for the early diagnosis of AKI.
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Pediatr Res
January 2025
Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Background: The impact of long-term burden of body mass index (BMI) since childhood on physical performance in midlife remains unclear. We aimed to investigate the association between cumulative exposure to BMI since childhood and midlife physical performance by using data from the Bogalusa Heart Study (BHS).
Methods: This longitudinal study consisted of 749 participants (aged 37.
Sci Rep
January 2025
Department of Internal Medicine, Afzalipour Faculty of Medicine, Afzalipour Hospital Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Inflammation and oxidative stress play a pivotal role in COPD pathogenesis. Free fatty acids (FFA) as signaling molecules through a series of G-proteins coupled receptors, play an important role in regulation of the immune system and oxidative stress. For this reason, we decided to investigate the profile of FFA in the plasma in the COPD patients.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Dusseldorf, Germany.
Aim of this study was to proof the concept of optimizing the contrast between prostate cancer (PC) and healthy tissue by DWI post-processing using a quadrature method. DWI post-processing was performed on 30 patients (median age 67 years, prostate specific antigen 8.0 ng/ml) with PC and clear MRI findings (PI-RADS 4 and 5).
View Article and Find Full Text PDFJ Adv Res
January 2025
Proteomics and Metabolomics Unit, Basic Research Department, Children's Cancer Hospital, 57357 Cairo, (CCHE-57357), Egypt; Department of Physiology, Faculty of Veterinary Medicine, Suez Canal University, 41522 Ismailia, Egypt. Electronic address:
Introduction: Gut microbiota alterations have been implicated in Autism Spectrum Disorder (ASD), yet the mechanisms linking these changes to ASD pathophysiology remain unclear.
Objectives: This study utilized a multi-omics approach to uncover mechanisms linking gut microbiota to ASD by examining microbial diversity, bacterial metaproteins, associated metabolic pathways and host proteome.
Methods: The gut microbiota of 30 children with severe ASD and 30 healthy controls was analyzed.
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