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Prior studies have identified various determinants of differential immune responses to COVID-19. This study focused on the Ig-G anti-RBD marker, analyzing its potential correlations with sex, vaccine type, body fat percentage, metabolic risk, perceived stress, and previous COVID-19 exposure. In this study, data (available in S1 Data) were obtained from 108 participants from the ESFUERSO cohort, who completed questionnaires detailing their COVID-19 experiences and stress levels assessed through the SISCO scale. IgG anti-RBD concentrations were quantified using an ELISA assay developed by UNAM. Multiple regression analysis was employed to control for covariates, including sex, age, body fat percentage, body mass index (BMI), and perceived stress. This sample comprised young individuals (average age of 21.4 years), primarily consisting of females (70%), with a substantial proportion reporting a family history of diabetes, hypertension, or obesity. Most students had received the Moderna or Pfizer vaccines, and 91% displayed a positive anti-RBD response. A noteworthy finding was the interaction between body fat percentage and sex. In males, increased adiposity was associated with decreased Ig-G anti-RBD concentration; in females, the response increased. Importantly, this pattern remained consistent regardless of the vaccine received. No significant associations were observed for dietary habits or perceived stress variables. This research reports the impact of sex and body fat percentage on the immune response through Ig-G anti-RBD levels to COVID-19 vaccines. The implications of these findings offer a foundation for educational initiatives and the formulation of preventive policies aimed at mitigating health disparities.
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BACKGROUND: Prolonged fetal exposure to hyperglycemia may increase the risk of developing abnormal glucose metabolism and type-2 diabetes during childhood, adolescence, and adulthood; however, the mechanisms by which gestational diabetes mellitus (GDM) predisposes offspring to metabolic disorders remain unknown. AIM: To quantify the nerve axons, macrophages, and vasculature in the pancreas from adult offspring born from mouse dams with GDM. METHODS: GDM was induced by i.p. administration of streptozotocin (STZ) in ICR mouse dams. At 12 wk old, fasting blood glucose levels were determined in offspring. At 15 wk old, female offspring born from dams with and without GDM were sacrificed and pancreata were processed for immunohistochemistry. We quantified the density of sensory [calcitonin gene-related peptide (CGRP)] and tyrosine hydroxylase (TH) axons, blood vessels (endomucin), and macro-phages (CD68) in the splenic pancreas using confocal microscopy. RESULTS: Offspring mice born from STZ-treated dams had similar body weight and blood glucose values compared to offspring born from vehicle-treated dams. However, the density of CGRP+ and TH+ axons, endomucin+ blood vessels, and CD68+ macrophages in the exocrine pancreas was significantly greater in offspring from mothers with GDM vs control offspring. Likewise, the microvasculature in the islets was significantly greater, but not the number of macrophages within the islets of offspring born from dams with GDM compared to control mice. CONCLUSION: GDM induces neuronal, vascular, and inflammatory changes in the pancreas of adult progeny, which may partially explain the higher propensity for offspring of mothers with GDM to develop metabolic diseases.
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AIM: Evaluate insulin resistance (IR) as a mediator of the effect of body fat distribution on liver fat infiltration and stiffness (LSt) in young adults using structural equation modeling (SEM). METHODS: We invited 500 first year students from two universities and evaluated their family history to determine the risk for cardiometabolic disease. Of these, 174 students (age 19 ± 1 years) were assessed for total body fat percentage (BF%), LSt, fat infiltration (Coefficient attenuated parameter CAP), and serum biochemical analysis. We performed a mediation analysis using two different structural equation models to determine the relationship between BMI, BF%, abdominal obesity (AO), IR, LSt, and fat infiltration using standardized ß coefficients. The symbol "->" means "explains/causes". RESULTS: Model#1 supported that mediation analysis and had a better fit than the direct effect. AO->IR (b = 0.62, p = 0.005), AO->CAP (b = 0.63, p <0.001), and CAP->IR (b = 0.23, p = 0.007), with negligible effect of BMI on CAP and IR. Model#2 showed direct effect of BMI on LSt was a better fit than mediation. BMI->LSt (b = 0.17, p = 0.05) but no effect AO->LSt. Interestingly, LSt->IR (b = 0.18, p = 0.001), but bi-directional IR->LSt (b = 0.23, p = 0.001). CONCLUSIONS: AO and BMI in young adults have differential phenotypic effects on liver CAP and LSt. Visceral fat had a direct effect on IR and CAP. Meanwhile, BMI was associated with LSt. Our findings shed light on the complex interplay of factors influencing liver stiffness, particularly in young individuals. Further research is needed to elucidate the precise mechanisms underlying these associations and their implications for liver health.
