Association between exposure to mixture of heavy metals and hyperlipidemia risk among U.S. adults: A cross-sectional study.

Previous studies have suggested that exposure to heavy metals might increase the risk of hyperlipidemia. However, limited research has investigated the association between exposure to mixture of heavy metals and hyperlipidemia risk. To explore the independent and combined effects of heavy metal exposure on hyperlipidemia risk, this study involved 3293 participants from the National Health and Nutrition Examination Survey (NHANES), including 2327 with hyperlipidemia and the remaining without. In the individual metal analysis, the logistic regression model confirmed the positive effects of barium (Ba), cadmium (Cd), mercury (Hg), Lead (Pb), and uranium (U) on hyperlipidemia risk, Ba, Cd, Hg and Pb were further validated in restricted cubic splines (RCS) regression model and identified as positive linear relationships. In the metal mixture analysis, weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and quantile-based g computation (qgcomp) models consistently revealed a positive correlation between exposure to metal mixture and hyperlipidemia risk, with Ba, Cd, Hg, Pb, and U having significant positive driving roles in the overall effects. These associations were more prominent in young/middle-aged individuals. Moreover, the BKMR model uncovered some interactions between specific heavy metals. In conclusion, this study offers new evidence supporting the link between combined exposure to multiple heavy metals and hyperlipidemia risk, but considering the limitations of this study, further prospective research is required.

Common mineral nutrients in ankylosing spondylitis: A 2-sample Mendelian randomization study.

OBJECTIVE: The causal relationship between common mineral nutrients and ankylosing spondylitis (AS) has not been studied. So this Mendelian randomization (MR) study aims to investigate the causal association of varying levels of calcium, zinc, copper, and selenium on AS. DESIGN: We selected 4 elements potentially associated with the onset and development of AS as exposure factors, single nucleotide polymorphisms (SNPs) as instrumental variables, and these SNPs are independent of each other(r2 < 0.05) and highly correlated with each of the 4 elements (P < 5 × 10-8 ). The 2-sample MR method takes Inverse-variance weighted (IVW) and MR-Egger as the main method and Simple mode (SM), Weighted median (WM1 ), and Weighted mode (WM2 ) as supplementary methods to evaluate the causal effect of mineral levels on AS. RESULTS: The IVW analysis does not provide convincing evidence to support a causal association between calcium (odds ratio [OR] = 1.000, 95% CI = 0.994, 1.005, P = .875), copper (OR = 1.000, 95% CI = 1.000, 1.001, P = .533) and selenium (OR = 0.999, 95% CI = 0.998, 1.000, P = .229) and AS. The IVW (OR = 1.001, 95% CI = 1.000, 1.002, P = .029) and WM1 (OR = 1.001, 95% CI = 1.000, 1.002, P = .011) results of zinc show that per standard deviation increment in zinc is a suggestive association with risks of AS, and MR-Egger (OR = 1.004, 95% CI = 0.996, 1.013, P = .265) and other supplementary methods indicate that zinc is not causally associated with AS. All MR-Egger intercept parameters and MR Pleiotropy RESidual Sum and Outlier tests demonstrated the absence of horizontal pleiotropy. CONCLUSIONS: This study does not provide convincing evidence to support a causal correlation between calcium, zinc, copper, and selenium with AS.

Efficacy and safety of Xinfeng capsule in patients with rheumatoid arthritis: a multi-center parallel-group double-blind randomized controlled trial.

OBJECTIVE: To evaluate the efficacy. and safety of Xinfeng capsule in patients suffering rheumatoid arthritis (RA). METHODS: A multi-center parallel-group designed, double-blind, randomized, controlled trial was conducted. Totally 304 RA patients were assigned to two groups: one group was administered Xinfeng capsule (XFC) plus the placebo of leflunomide and the other given leflunomide (LEF) plus the placebo of XFC for twelve weeks. The clinical and laboratory parameters were compared at baseline and fourth, eighth, and twelfth weeks. RESULTS: After twelve-week treatment, patients in two groups all showed some trend of effectiveness when compared in terms of American Rheumatism Association (ACR) recommended 20%, 50%, 70% improvement criteria, but it was insignificant. The validity in ameliorate modified disease activity score (DAS28) and laboratory indexes as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF) were also found no difference. The score of health assessment questionnaire (HAQ), self-rating anxiety scale (SAS), self-rating depression scale (SDS) and quality of life questionnaire with rheumatoid arthritis (RAQOL) both lower than the first week and the changes showed no difference. However, the score of SDS dropped more in XFC group than in the other. A total of 147 adverse reaction cases were reported, which shows no difference between the two groups. The most common adverse reactions were hepatic impairment, anemia, leukocytopenia, epigastric discomfort and phalacrosis. CONCLUSION: XFC demonstrated better improvement in the scores of SDS and compared with those of LEF group.

Case-only designs for exploring the interaction between FCRL4 gene and suspected environmental factors in patients with ankylosing spondylitis.

The aim of this study was to explore the interaction between FCRL4 gene and environmental factors in patients with ankylosing spondylitis. Two hundred ninety-seven ankylosing spondylitis (AS) Han Chinese patients were selected who were diagnosed at the Department of Rheumatology, First Affiliated Hospital, Anhui Medical University, in accordance with the modified New York criteria. The single nucleotide polymorphism (SNP) was genotyped by multiplex SNaPshot technique. The interaction between FCRL4 gene and ten environmental factors in AS patients was assessed by using a case-only study. The interaction between FCRL4 gene (rs2777963) and environmental factors was analyzed by chi-square test and logistic models. p values, odds ratio, and 95 % confidence intervals (CIs) were used for estimating the effects of interaction. Odds ratio (OR) for the interaction of gene × environment (G × E) between drinking group and non-drinking group was 2.61 [95 % CI (1.30, 5.23), p=0.007], with statistical significance. Within the cooking oil group, there also may be an interaction of G × E between main animal oil and main plant oil [OR=10.55, 95 % CI (5.55, 20.04), p<0.001]. However, there was no interaction between FCRL4 gene and the other eight environmental factors in patients with AS. The observed significant gene-environment interaction suggests that drinking and cooking oil with FCRL4 gene has a significant interaction. Drinking and cooking oil may be risk exposure factors to take a combined action with predisposing genes in patients with AS. A larger sample case-control study is needed to illustrate the interaction mechanism in the further study.