Background: In recent years, the prevalence of obesity has continued to increase as a global health concern. Numerous epidemiological studies have confirmed the long-term effects of exposure to ambient air pollutant particulate matter 2.5 (PM) on obesity, but their relationship remains ambiguous.
Methods: Utilizing large-scale publicly available genome-wide association studies (GWAS), we conducted univariate and multivariate Mendelian randomization (MR) analyses to assess the causal effect of PM exposure on obesity and its related indicators. The primary outcome given for both univariate MR (UVMR) and multivariate MR (MVMR) is the estimation utilizing the inverse variance weighted (IVW) method. The weighted median, MR-Egger, and maximum likelihood techniques were employed for UVMR, while the MVMR-Lasso method was applied for MVMR in the supplementary analyses. In addition, we conducted a series of thorough sensitivity studies to determine the accuracy of our MR findings.
Results: The UVMR analysis demonstrated a significant association between PM exposure and an increased risk of obesity, as indicated by the IVW model (odds ratio [OR]: 6.427; 95% confidence interval [CI]: 1.881-21.968; = 0.005). Additionally, PM concentrations were positively associated with fat distribution metrics, including visceral adipose tissue (VAT) (OR: 1.861; 95% CI: 1.244-2.776; = 0.004), particularly pancreatic fat (OR: 3.499; 95% CI: 2.092-5.855; PFDR =1.28E-05), and abdominal subcutaneous adipose tissue (ASAT) volume (OR: 1.773; 95% CI: 1.106-2.841; = 0.019). Furthermore, PM exposure correlated positively with markers of glucose and lipid metabolism, specifically triglycerides (TG) (OR: 19.959; 95% CI: 1.269-3.022; = 0.004) and glycated hemoglobin (HbA1c) (OR: 2.462; 95% CI: 1.34-4.649; = 0.007). Finally, a significant negative association was observed between PM concentrations and levels of the novel obesity-related biomarker fibroblast growth factor 21 (FGF-21) (OR: 0.148; 95% CI: 0.025-0.89; = 0.037). After adjusting for confounding factors, including external smoke exposure, physical activity, educational attainment (EA), participation in sports clubs or gym leisure activities, and Townsend deprivation index at recruitment (TDI), the MVMR analysis revealed that PM levels maintained significant associations with pancreatic fat, HbA1c, and FGF-21.
Conclusion: Our MR study demonstrates conclusively that higher PM concentrations are associated with an increased risk of obesity-related indicators such as pancreatic fat content, HbA1c, and FGF-21. The potential mechanisms require additional investigation.
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http://dx.doi.org/10.3389/fpubh.2024.1366838 | DOI Listing |
Front Microbiol
December 2024
ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium.
Type 1 diabetes (T1D) is characterized by a prolonged autoimmune attack resulting in the massive loss of insulin-producing beta cells. The initiation and progression of T1D depends on a complex interaction between genetic, immunological and environmental factors. Epidemiological, experimental and clinical evidence suggest a link between viral infections, particularly Coxsackievirus type B (CVB), and T1D development.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Coimbatore Medical College, Coimbatore, IND.
Pancreatogenic diabetes also known as type 3c diabetes mellitus (DM) is a distinct entity often overlooked and misdiagnosed as type 2 diabetes. It results from exocrine pancreatic dysfunction involving both insulin and glucagon deficiencies due to damage to pancreatic beta and alpha cells. This case highlights a 46-year-old male presenting with diabetic ketoacidosis (DKA), a rare but severe complication of type 3c DM.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Endocrinology, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Guiyang, 550004, China.
Background: Intra-pancreatic fat deposition (IPFD) is linked to metabolic and pancreatic diseases. MRI, while precise, is not cost-effective for routine IPFD screening, highlighting the need for accessible biomarkers. This study aims to analyze the relationships among serum lipid profiles, lipoprotein ratios, and IPFD, with a focus on sex differences.
View Article and Find Full Text PDFMetabolism
December 2024
Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany. Electronic address:
Background: For characterizing health states, fat distribution is more informative than overall body size. We used population-based whole-body magnetic resonance imaging (MRI) to identify distinct body composition subphenotypes and characterize associations with cardiovascular disease (CVD) risk.
Methods: Bone marrow, visceral, subcutaneous, cardiac, renal, hepatic, skeletal muscle and pancreatic adipose tissue were measured by MRI in n = 299 individuals from the population-based KORA cohort.
Front Endocrinol (Lausanne)
January 2025
Islet Biology and Metabolism Lab - IBM Lab, Department of Physiological Sciences, Center of Biological Sciences, Federal University of Santa Catarina - UFSC, Florianópolis, Santa Catarina, Brazil.
Aims: This study investigates the role of Hepatocyte Nuclear Factor 4α (HNF4α) in the adaptation of pancreatic β-cells to an HFD-induced obesogenic environment, focusing on β cell mass expansion and metabolic adaptations.
Main Methods: We utilized an HNF4α knockout (KO) mouse model, with CRE-recombinase enzyme activation confirmed through tamoxifen administration. KO and Control (CTL) mice were fed an HFD for 20 weeks.
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