Several genome-wide association studies have discovered novel loci at chromosome 12q24, which includes mevalonate kinase (MVK), methylmalonic aciduria (cobalamin deficiency) cbIB type (MMAB), and potassium channel tetramerization domain-containing 10 (KCTD10), all of which influence HDL-cholesterol concentrations. However, there are few reports on the associations between these polymorphisms and HDL-C concentrations in Chinese population. This study aimed to evaluate the associations between functional polymorphisms in three genes (MVK, MMAB and KCTD10) and HDL-C concentrations, as well as coronary heart disease (CHD) susceptibility in Chinese individuals. We systematically selected and genotyped 18 potentially functional polymorphisms in MVK, MMAB and KCTD10 by using the TaqMan OpenArray Genotyping System in a Chinese population including 399 dyslipidemia cases, 697 CHD cases and 465 controls. Multivariate logistic regression analyses were performed to estimate the relationship between the genotypes and dyslipidemia, CHD risk with adjustment of relevant confounders. Among six polymorphisms showing significant associations with dyslipidemia, the minor alleles of rs11066782 in KCTD10, rs11613718 in KCTD10 and rs11067233 in MMAB were significantly associated with a decreased risk of CHD (additive model: OR = 0.71, 95 % CI = 0.53–0.97, P = 0.029 for rs11066782; OR = 0.73, 95 % CI = 0.54–0.99, P = 0.044 for rs11613718 and OR = 0.57, 95 % CI = 0.40–0.80, P = 0.001 for rs11067233). Further combined analysis showed that individuals carrying “3-4” favorable alleles presented a 62 % (OR = 0.38, 95 % CI = 0.21–0.66) decreased risk of CHD compared with those carrying “0–2” favorable alleles. These findings suggest that rs11066782 in KCTD10, rs11613718 in KCTD10 and rs11067233 in MMAB may contribute to the susceptibility of CHD by altering plasma HDL-C levels in Han Chinese.

Background: Glufosinate ammonium (GLA) is a widely used herbicide, yet potential neurodevelopmental risks related to paternal exposure before conception remain insufficiently defined. Methods: In this study, adult male C57BL/6J mice received GLA at 0.2 mg/kg·day for 10 consecutive weeks and were then mated with unexposed females to generate F1 offspring. Offspring growth was monitored, and neurobehavior was assessed at 5 weeks of age. Results: In behavioral tests, female offspring showed reduced social novelty preference in the three-chamber test and impaired spatial learning and memory in the Morris water maze test, while open field, elevated plus maze, and rotarod performance were not altered. Male offspring showed no clear group differences in these memory-related endpoints. Golgi staining revealed reduced dendritic complexity and spine density in the hippocampus and prefrontal cortex. Glial markers were elevated, and neuronal marker changes showed region-dependent shifts. TUNEL staining indicated increased apoptosis during embryonic development and persistent apoptotic signals in the juvenile prefrontal cortex, accompanied by cytokine imbalance with increased IL-1β and decreased IL-10 in the hippocampus. Conclusion: These results suggest that paternal preconception GLA exposure is associated with selective memory-related behavioral deficits in juvenile offspring and with convergent glial, inflammatory, and apoptosis-related brain changes. These findings support the consideration of paternal exposure in developmental risk assessment frameworks.

Diet is recognized as both a determinant of health and a potential exposure source of environmental chemicals, but evidence linking comprehensive dietary indices to chemicals remains limited. We investigated the associations between diet quality, measured by the Healthy Eating Index 2020 (HEI-2020), and exposures to multiple environmental chemicals in a nationally representative U.S. NHANES 2017-2020 data (n = 4944) were used for the primary analysis, and NHANES 2013-2020 data (n = 11,739) were used for multi-cycle validation. Survey-weighted regression models assessed associations between HEI-2020 scores and chemical concentrations. Generalized additive models explored nonlinearity, and component-level analyses identified dietary components contributing to selected associations. Higher HEI-2020 scores were positively associated with urinary nitrate (β = 0.008), urinary arsenic (β = 0.002), and blood mercury (β = 0.005). Negative associations were observed for blood cadmium (β = -0.001) and perfluorononanoic acid (β = -0.002). Arsenic and mercury showed nonlinear patterns, and multi-cycle analyses supported the general stability of most associations. Component-level analyses suggested that vegetables and greens were major contributors to the nitrate association, seafood and plant proteins were related to mercury and arsenic, and fruit components were inversely associated with cadmium. Healthier diet patterns may accompany beneficial nutrients but also elevate certain contaminant exposures. These results support integrated nutrition and environmental health strategies to maximize dietary benefits while minimizing toxicant exposure.