Ecotoxicol Environ Saf
February 2024
Background: Per- and poly-fluoroalkyl substances (PFAS) are ubiquitous chemicals in the environment and our daily lives. Several epidemiological studies have revealed that PFAS exposure is linked to male sex hormone levels; however, the conclusions are inconsistent across studies. Consequently, we performed a meta-analysis to systematically evaluate the association between PFAS exposure and male sex hormones.
View Article and Find Full Text PDFTo examine the relationships between different shift patterns and Type 2 diabetes mellitus (T2DM) risk, and determine whether physical exercise reduced the incidence of T2DM in shift workers in the oil industry. Baseline data were collected from participants in May 2013 who were then followed for 4 years in a prospective cohort study. The cohort initially consisted of 3,002 workers and ultimately included 2,827 people.
View Article and Find Full Text PDFBackground: Currently, cardiovascular disease is the leading cause of death, and dyslipidaemia is an independent and modifiable major risk factor. Previous studies on shift work with dyslipidaemia and hair cortisol concentration (HCC) have yielded conflicting results. The aim of this study was to clarify the association between shift work, dyslipidaemia, and HCC.
View Article and Find Full Text PDFEcotoxicol Environ Saf
November 2021
Objective: This study aimed to examine the relationships among N, N-dimethylformamide (DMF) exposure, cytochrome P4502E1 (CYP2E1) single nucleotide polymorphisms (SNPs) (rs2031920, rs3813867, rs6413432), transmembrane 6 superfamily member 2 (TM6SF2) SNP rs58542926 and non-alcoholic fatty liver disease (NAFLD).
Methods: Baseline data were collected from participants who were then followed for 5 years in a prospective cohort study. The cohort initially consisted of 802 workers and ultimately included 660 people, all of whom underwent annual occupational health examinations from 2010 to 2015.
Objective: The present study was designed to demonstrate the relationships among shift work, hair cortisol concentration (HCC) and sleep disorders.
Design: A cross-sectional study.
Setting: Three petroleum administrations in Karamay city of Xinjiang, China.
This study aimed to understand the prevalence of sleep disorders among shift workers and analyze the relationship between sleep disorders and shift work. . Baseline data were collected from subjects who were then followed for 2 years in a prospective cohort study.
View Article and Find Full Text PDFBackground And Objective: This study aimed to identify miRNA as potential diagnostic biomarkers for silica-related pulmonary fibrosis (SPF).
Methods: We first performed a comprehensive miRNA-seq screening in PBL of eight subjects exposed to silica dust (four individuals with SPF and four healthy controls). The promising miRNA were then evaluated in the first-stage validation using an independent GEO data set (GSE80555) of 6 subjects (3 individuals with SPF and 3 healthy controls), followed by a second-stage validation using 120 subjects exposed to silica dust (60 individuals with SPF and 60 healthy controls).
is associated with aging lung disease (primarily chronic obstructive pulmonary disorder and pulmonary fibrosis) and shows stable expression throughout lung development. However, a few systematic studies of have been conducted to assess the pathogenesis of lung cancer, particularly susceptibility. We predicted that single-nucleotide polymorphisms (SNPs) in may be associated with lung cancer development.
View Article and Find Full Text PDFObjectives: In a genome-wide association study, we discovered chromosome 12q15 (defined as rs73329476) as a silica-related pneumoconiosis susceptibility region. However, the causal variants in this region have not yet been reported.
Methods: We systematically screened eight potentially functional single-neucleotide polymorphism (SNPs) in the genes near rs73329476 (carboxypeptidase M () and cleavage and polyadenylation specific factor 6 ()) in a case-control study including 177 cases with silicosis and 204 healthy controls, matched to cases with years of silica dust exposure.
DNA Cell Biol
November 2018
Two genome-wide association studies and one sequencing study have coincidently reported significant associations of single nucleotide polymorphisms (SNPs) in the desmoplakin (DSP) gene with the risk of pulmonary fibrosis (mainly idiopathic pulmonary fibrosis). However, these findings have not been well generalized to occupational pulmonary fibrosis (e.g.
View Article and Find Full Text PDFObjective: To assess the symptomatic effectiveness and safety of oral symptomatic slow-acting drugs (SYSADOAs) on the treatment of knee and/or hip osteoarthritis, such as chondroitin, glucosamine, and combination treatment with chondroitin plus glucosamine.
Methods: We searched electronic database including PubMed, Embase, Cochrane Library, and the reference lists of relevant articles published from inception to May 22, 2018. An updated meta-analysis was performed to assess the effectiveness of these slow-acting drugs for osteoarthritis.
Background: Two recent genome-wide association studies (GWASs) reported that the FAM13A gene at the 4q22 locus associated with pulmonary fibrosis (defined by rs2609255) overlapping with COPD (defined by rs6837671). We hypothesized that single-nucleotide polymorphisms (SNPs) related to lung disease (especially pulmonary fibrosis) identified in this region are also associated with the risk of silicosis.
Methods: To test this hypothesis, we genotyped these two SNPs (rs2609255 and rs6837671) in a case-control study including 177 silicosis cases and 204 controls with silica dust exposure years similar to the levels for cases in a Chinese population.
Objectives: To compare the efficacies of oral glucosamine, chondroitin, the combination of glucosamine and chondroitin, acetaminophen and celecoxib on the treatment of knee and/or hip osteoarthritis.
Methods: We searched electronic databases including PubMed, Embase, and Cochrane Library and the reference lists of relevant articles published from inception to October 23, 2017. A Bayesian hierarchical random effects model was used to examine the overall effect size among mixed multiple interventions.