Identification of common genetic variants associated with serum concentrations of p, p'-DDE in non-occupational populations in eastern China

Mediating effect of TyG index on the association between glucose-lipid metabolism-related dietary pattern and T2DM: a propensity score-matched analysis

OBJECTIVE

This study aimed to investigate the association of dietary patterns (DPs) with risk of T2DM, emphasizing the intermediary role of HOMA or TyG indices among a Chinese adult population.

RESEARCH DESIGN AND METHODS

Directed acyclic graphs combined with propensity score matching were used to minimize confounding, resulting in 1330 subjects for final analysis. Principal component analysis and reduced rank regression, applied to eleven food groups. Multivariable logistic regression and restricted cubic spline regression models were used to assess associations between there DPs with prevalent T2DM, as well as insulin resistance and β-cell function (HOMA-TyG). Mediation analyses were conducted to evaluate whether the HOMA-TyG index mediated the relationship between DPs and T2DM.

RESULTS

The DP1, characterized by high intakes of poultry, meat, and preserved foods, was associated with elevated body mass index, triglycerides, and hemoglobin A1c. Both PCA-DP1(ORQ4VsQ1 = 2.15, 95% CI: 1.53-3.03) and RRR-DP1 (ORQ4VsQ1 = 1.69, 95% CI: 1.82-3.58) were significantly positively correlated with T2DM. RRR-DP1 additionally demonstrated a dose-dependent relationship with HOMA-insulin resistance and TyG. Furthermore, the TyG index mediated approximately 19.51% of the relationship between RRR-DP1 and T2DM.

CONCLUSIONS

These findings indicate that glucose-lipid metabolism-related dietary pattern, notably high in animal fat, exacerbates insulin resistance and heightens T2DM risk. Tailoring dietary interventions to modify this pattern may be an effective strategy for preventing and managing T2DM.

Environmental and occupational exposure to organochlorine pesticides associated with Parkinson's disease risk: A systematic review and meta-analysis based on epidemiological evidence

OBJECTIVES

The purpose of this study was to analyze the association between environmental and occupational organochlorine pesticides (OCPs) exposure and Parkinson's disease (PD) risk.

STUDY DESIGN

Systematic review and meta-analysis.

METHODS

A comprehensive search of articles before March 18, 2024, was conducted through PubMed, Cochrane, Embase, Medlin and Web of Science databases, and the relevant data were expressed as odds ratios (OR) and 95 % confidence intervals (CI). Newcastle-Ottawa Scale (NOS) was used to evaluate literature quality. STATA (Version 11.0) was used for analysis.

RESULTS

This meta-analysis included 17 case-control studies. The results showed that OCPs exposure increased PD risk, including seven blood sample assessment exposure (BOCPs) studies (OR = 1.54, 95 % CI = 1.32-1.79) and 10 indirect assessment exposure (IOCPs) studies (OR = 1.19, 95 % CI = 1.04-1.35). Location subgroup analysis showed that OCPs was positively associated with PD risk in Asia, while there was no statistical significance in North America and Europe. The IOCPs functional subclasses subgroup results suggested that organochlorine insecticides were significantly associated with PD risk (OR = 1.18, 95%CI = 1.03-1.37). Study time may be a factor of high heterogeneity in BOCPs. In addition, BOCPs (OR = 1.49, 95%CI = 1.28-1.74) and IOCPs (OR = 1.10, 95%CI = 0.95-1.26) showed different results with PD risk.

CONCLUSIONS

Study suggests that OCPs exposure may be a risk factor for PD, but there may be location and OCPs type differences.

Genome-wide association study of maternal plasma metabolites during pregnancy

Metabolites are key indicators of health and therapeutic targets, but their genetic underpinnings during pregnancy-a critical period for human reproduction-are largely unexplored. Using genetic data from non-invasive prenatal testing, we performed a genome-wide association study on 84 metabolites, including 37 amino acids, 24 elements, 13 hormones, and 10 vitamins, involving 34,394 pregnant Chinese women, with sample sizes ranging from 6,394 to 13,392 for specific metabolites. We identified 53 metabolite-gene associations, 23 of which are novel. Significant differences in genetic effects between pregnant and non-pregnant women were observed for 16.7%-100% of these associations, indicating gene-environment interactions. Additionally, 50.94% of genetic associations exhibited pleiotropy among metabolites and between six metabolites and eight pregnancy phenotypes. Mendelian randomization revealed potential causal relationships between seven maternal metabolites and 15 human traits and diseases. These findings provide new insights into the genetic basis of maternal plasma metabolites during pregnancy.

Breast cancer immunophenotypes and serum organochlorine pesticides in Mexican women: Mixture exposure approach

Epidemiological studies on associations between breast cancer (BC) and organochlorine pesticides (OCP) are inconclusive. The majority of studies have evaluated the effect of single compounds without considering multiple OCP exposures and immunophenotypes of BC. We aimed to evaluate the association between BC immunophenotypes and serum OCP mixtures, and identify the main contributors within mixtures. We included 767 histopathologically confirmed incident BC cases and 908 controls from a population-based case-control study conducted from 2007 to 2011 in Northern Mexico. We obtained direct information about sociodemographic, lifestyle and reproductive characteristics. We collected data from clinical records about hormonal receptors (HR) and epidermal growth factor receptor 2 (HER2) expressions. Immunophenotypes were determined as HR+/HER2-, HER2+ or HR-/HER2-. We quantified OCP and metabolites by gas chromatography using an electron capture micro detector. We used Weighted Quantile Sum regression to assess the association of BC and exposure to multiple OCP, and their contribution within the mixture. We found a positive adjusted association between BC and an OCP mixture (OR: 3.48, 95%CI: 2.58, 4.69), whose primary contribution arose from the isomers of hexachlorocyclohexane and endosulfan, as well as endosulfan sulfate. We also identified a mixture negatively associated (OR: 0.13, 95%CI: 0.08, 0.20), characterized by p,p'-DDT and chlordane metabolites. All these associations remained regardless BC immunophenotypes. This is the first epidemiological report that identified serum OCP mixtures associated with BC immunophenotypes. Due to OCP ubiquity, biomagnification, and continuous exposure, they constitute a global problem of persistent exposure that might be related to BC risk.

Air pollutants in bronchoalveolar lavage fluid and pulmonary tuberculosis: A mediation analysis of gene-specific methylation

Particulate matter (PM) exposure could alter the risk of tuberculosis, but the underlying mechanism is still unclear. We enrolled 132 pulmonary tuberculosis (PTB) patients and 30 controls. Bronchoalveolar lavage fluid samples were collected from all participants to detect organochlorine pesticides, polycyclic aromatic hydrocarbons, metal elements, and DNA methylation of immunity-related genes. We observed that γ-HCH, Bap, Sr, Ag, and Sn were related to an increased risk of PTB, while Cu and Ba had a negative effect. IFN-γ, IL-17A, IL-2, and IL-23 had a higher level in the PTB group, while IL-4 was lower. The methylation of 18 CpG sites was statistically associated with PTB risk. The methylation at the IL-4_06_121 site showed a significant mediating role on γ-HCH, Sr, and Sn. Our study suggests that PM exposure can increase the risk of tuberculosis by affecting DNA methylation and cytokine expression.

SNPs in 3'UTR miRNA Target Sequences Associated with Individual Drug Susceptibility

The complementary interaction of microRNAs (miRNAs) with their binding sites in the 3'untranslated regions (3'UTRs) of target gene mRNAs represses translation, playing a leading role in gene expression control. MiRNA recognition elements (MREs) in the 3'UTRs of genes often contain single nucleotide polymorphisms (SNPs), which can change the binding affinity for target miRNAs leading to dysregulated gene expression. Accumulated data suggest that these SNPs can be associated with various human pathologies (cancer, diabetes, neuropsychiatric disorders, and cardiovascular diseases) by disturbing the interaction of miRNAs with their MREs located in mRNA 3'UTRs. Numerous data show the role of SNPs in 3'UTR MREs in individual drug susceptibility and drug resistance mechanisms. In this review, we brief the data on such SNPs focusing on the most rigorously proven cases. Some SNPs belong to conventional genes from the drug-metabolizing system (in particular, the genes coding for cytochromes P450 (CYP 450), phase II enzymes (SULT1A1 and UGT1A), and ABCB3 transporter and their expression regulators (PXR and GATA4)). Other examples of SNPs are related to the genes involved in DNA repair, RNA editing, and specific drug metabolisms. We discuss the gene-by-gene studies and genome-wide approaches utilized or potentially utilizable to detect the MRE SNPs associated with individual response to drugs.