Serum copper-to-zinc ratio and risk of incident pneumonia in caucasian men: a prospective cohort study

Association Between the Copper-to-Zinc Ratio and Cardiovascular Disease Among Chinese Adults: A China Multi-ethnic Cohort (CMEC) Study

The impact of metal exposure on cardiovascular diseases has become an increasingly concerning topic. To date, few studies have investigated the relationship between the copper-to-zinc ratio and CVD (Cardiovascular disease). This China multi-ethnic cohort study explored the association between the copper-to-zinc ratio and CVD in Chinese adults. The study included a sample size of 9878 people. Logistic regression analysis was used to examine the correlation between urinary copper, urinary zinc, and the copper-to-zinc ratio and CVD prevalence. Restricted cubic spline (RCS) analysis was used to investigate the potential dose-response relationships among copper-to-zinc ratio, urinary copper, urinary zinc, and CVD prevalence. In addition, the least absolute shrinkage and selection operator (LASSO) regression method was used to identify significant risk factors associated with CVD, leading to the development of a nomogram. The predictive performance of the nomogram model for CVD was assessed using the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Compared with the copper-to-zinc ratio in Q1, the copper-to-zinc ratio in Q4 was associated with CVD after adjusting for all potential confounders (Model 3) (Q4, odds ratio [OR] 0.608, 95% confidence interval [CI] 0.416-0.889, P = 0.010). After adjusting for all potential confounders (Model 3), urinary copper levels in Q4 were associated with CVD (Q4, odds ratio [OR] 0.627, 95% confidence interval [CI] 0.436-0.902, P = 0.012). No significant difference was found between urinary zinc levels and CVD. The RCS showed a linear dose-response relationship between the copper-to-zinc ratio and CVD (P for overall = 0.01). The nomogram based on the influencing factors examined with LASSO showed good predictive power, and the AUC was 76.3% (95% CI 73.7-78.9%). Our results suggest that there is a significant linear negative correlation between the copper-to-zinc ratio and CVD in Chinese adults and that it has good predictive value for CVD.

Serum Copper/Zinc Ratio in Overweight and Obese Children: a Cross-Sectional Study

To assess the association between serum copper/zinc ratio (CZR) and overweight/obesity in children. Sociodemographic and clinical data of children aged 8-18 years old were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. These associations were explored using weighted univariate and multivariate logistic regression analyses with the odds ratios (ORs) and 95% confidence intervals (CIs). High serum CZR level was related to higher odds of overweight (OR = 1.74), obesity (OR = 5.26), and central obesity (OR = 2.99). Subgroup analyses showed that high serum CZR levels were associated with high odds of overweight in children aged ≥ 12 years old (OR = 2.19) and females (OR = 2.02), while the increased odds of obesity and central obesity were found in children aged ≥ 12 years old and both male and female. Elevated serum CZR level was linked to high odds of childhood overweight, obesity, and central obesity, and this relationship was also found in children with different age and gender.

Serum levels of copper but not zinc are associated with head and chest cold in the NHANES

BACKGROUND

Common colds are among the top reasons children miss school and adults miss work. The Centers for Disease Control and Prevention estimates that there are millions of cases of the common cold in the United States each year. The essential trace elements zinc and copper have immunomodulatory functions, and zinc has been reported to reduce the general risk of infection, whereas the copper-to-zinc ratio has been associated with an increased risk of incident infections in middle-aged men. Studies involving these two trace elements are generally scarce and were often limited to men.

MATERIAL AND METHODS

We used data from the National Health and Nutrition Examination Surveys (NHANES) to examine potential associations between head or chest cold events and serum levels of copper and zinc in n = 2795 NHANES participants enrolled between 2011 and 2016.

RESULTS

Comparing participants with and without an event of head or chest cold in the last 30 days, no significant differences were found in the serum levels of both trace elements. Notably, copper levels tended to be slightly higher in participants with a recent infection (121.56 (2.69) µg/dl) as compared to participants without infection (117.755 (1.04) µg/dl; p = 0.119). In multivariate logistic regression models adjusting for confounders, copper levels were significantly associated with increased odds for a previous head/chest cold (OR: 1.93 (CI: 1.07-3.47), p = 0.028). Notably, no significant associations were found for zinc and the copper-to-zinc ratio.

CONCLUSIONS

Elevated copper levels were associated with head and chest cold events in the past 30 days. Whether elevated copper levels reflect a pro-inflammatory infection-predisposing status or whether they were elevated subsequent to the infectious event in some individuals in the sense of a reversed causality remains subject to future research.

Association between serum copper-zinc ratio and respiratory tract infection in children and adolescents

BACKGROUND

The aim of this study was to explore the association between serum copper-zinc (Cu-Zn) ratio and the risk of respiratory tract infection in children and adolescents.

METHODS

This cross-sectional study collected the data of 1695 participants who aged 6-17 years with follow-up data on respiratory tract infection in 2011-2012, 2013-2014 and 2015-2016 cycles from the National Health and Nutrition Examination Survey (NHANES) database. Univariate logistic regression analysis was applied to explore the covariates. Each covariate was adjusted in multivariate logistic regression analysis to explore the correlation between serum Cu-Zn ratio and respiratory tract infection. Subgroup analysis was performed to stratify the data according to age, gender and BMI. Restricted cubic spline (RCS) curve was plotted to identify the association between serum Cu-Zn ratio and respiratory tract infection.

RESULTS

The results of RCS curve depicted that the risk of respiratory tract infection was increased as the elevation of the serum Cu-Zn ratio. After adjusting for confounders, risk of respiratory tract infection in children and adolescents was elevated with the increase of serum copper-zinc ratio (OR = 1.38, 95%CI: 1.19-1.60). Compared with people with serum copper-zinc ratio <1.25, subjects who had serum copper-zinc ratio >1.52 was associated with increased risk of respiratory tract infection in children and adolescents (OR = 1.88, 95%CI: 1.19-2.98). Subgroup analysis demonstrated that the risk of respiratory tract infection was elevated as the increase of serum copper-zinc ratio in participants <12 years (OR = 1.65, 95%CI: 1.28-2.12), ≥12 years (OR = 1.27, 95%CI: 1.03-1.57), males (OR = 1.63, 95%CI: 1.29-2.06), females (OR = 1.26, 95%CI: 1.01-1.57), underweight and normal (OR = 1.35, 95%CI: 1.11-1.65), and overweight and obese participants (OR = 1.44, 95%CI: 1.15-1.80).

CONCLUSION

Higher serum Cu-Zn ratio was associated with increased risk of respiratory tract infection in children and adolescents, which suggests the importance of Zn supplement and the balance of serum Cu-Zn ratio in children and adolescents.

Identification of immune infiltration and cuproptosis-related molecular clusters in tuberculosis

Background

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb) infection. Cuproptosis is a novel cell death mechanism correlated with various diseases. This study sought to elucidate the role of cuproptosis-related genes (CRGs) in TB.

Methods

Based on the GSE83456 dataset, we analyzed the expression profiles of CRGs and immune cell infiltration in TB. Based on CRGs, the molecular clusters and related immune cell infiltration were explored using 92 TB samples. The Weighted Gene Co-expression Network Analysis (WGCNA) algorithm was utilized to identify the co-expression modules and cluster-specific differentially expressed genes. Subsequently, the optimal machine learning model was determined by comparing the performance of the random forest (RF), support vector machine (SVM), generalized linear model (GLM), and eXtreme Gradient Boosting (XGB). The predictive performance of the machine learning model was assessed by generating calibration curves and decision curve analysis and validated in an external dataset.

Results

11 CRGs were identified as differentially expressed cuproptosis genes. Significant differences in immune cells were observed in TB patients. Two cuproptosis-related molecular clusters expressed genes were identified. Distinct clusters were identified based on the differential expression of CRGs and immune cells. Besides, significant differences in biological functions and pathway activities were observed between the two clusters. A nomogram was generated to facilitate clinical implementation. Next, calibration curves were generated, and decision curve analysis was conducted to validate the accuracy of our model in predicting TB subtypes. XGB machine learning model yielded the best performance in distinguishing TB patients with different clusters. The top five genes from the XGB model were selected as predictor genes. The XGB model exhibited satisfactory performance during validation in an external dataset. Further analysis revealed that these five model-related genes were significantly associated with latent and active TB.

Conclusion

Our study provided hitherto undocumented evidence of the relationship between cuproptosis and TB and established an optimal machine learning model to evaluate the TB subtypes and latent and active TB patients.

Sex distinctions regarding serum zinc levels in critically ill COVID-19 patients

PURPOSE

Men and women exhibit different presentations in COVID-19. Changes in zinc finger domains in X chromosome causes disorders of sex development. So, we aimed to evaluate sex distinctions regarding serum zinc in severe COVID-19.

METHOD

Data from electronic records of severe COVID-19 patients were correlated with serum zinc. Logistic regression investigated predictors and protectors of hypozincemia in men and women.

RESULTS

We assessed 188 medical records (men = 114, women = 74). Men correlated low zinc with hypertension (cc = 0.303, p < 0.001), diabetes (cc = 0.198, p = 0.031), hemoglobin (cc = -0.258, p = 0.005), and albumin (cc = -0.219, p = 0.027). Low lymphocyte count (cc = 0.315, p = 0.005), C-reactive protein (cc = -0.248, p = 0.037), and enteral nutrition (cc = 0.269, p = 0.016) were correlated with hypozincemia in women. Age correlated with low zinc in men (c = -0.304, p = 0.001) and women (cc = -0.298, p = 0.010). In men, hypertension (OR = 4.905, p = 0.005) and lymphopenia (OR = -0.999, p = 0.019) were low zinc predictors, while lung injury > 50% was a protective factor (OR = -0.280, p = 0.025). Lymphopenia (OR = -0.999, p = 0.005) and difficult weaning from mechanical ventilation (MV) (OR = 4.359, p = 0.036) were predictors of hypozincemia in women. Difficult weaning from MV (OR = 3.012, p = 0.003) and age (OR = 1.038, p = 0.002) were hypozincemia predictors regardless sex.

CONCLUSION

Hypertension, diabetes, hemoglobin and albumin were correlated with low zinc in men. Lymphopenia, reactive-C protein and enteral nutrition were correlated with low zinc in women. In men, hypertension and low lymphocytes were predictors of hypozincemia. Lymphopenia and difficult weaning from MV were predictors of low zinc in women.

Copper homeostasis and copper-induced cell death in the pathogenesis of cardiovascular disease and therapeutic strategies

Copper is a vital mineral, and an optimal amount of copper is required to support normal physiologic processes in various systems, including the cardiovascular system. Over the past few decades, copper-induced cell death, named cuproptosis, has become increasingly recognized as an important process mediating the pathogenesis and progression of cardiovascular disease (CVD), including atherosclerosis, stroke, ischemia-reperfusion injury, and heart failure. Therefore, an in-depth understanding of the regulatory mechanisms of cuproptosis in CVD may be useful for improving CVD management. Here, we review the relationship between copper homeostasis and cuproptosis-related pathways in CVD, as well as therapeutic strategies addressing copper-induced cell death in CVD.

Serum Copper-to-Zinc Ratio and Risk of Chronic Obstructive Pulmonary Disease: A Cohort Study

PURPOSE

Serum copper (Cu), zinc (Zn), and Cu/Zn-ratio have emerged as ageing-related biomarkers. We sought to assess the association between Cu/Zn-ratio and chronic obstructive pulmonary disease (COPD) risk.

METHODS

Serum Cu and Zn were measured using atomic absorption spectrometry in 2,503 men aged 42-61 years.

RESULTS

During a median follow-up of 27.1 years, 210 COPD cases occurred. Serum Cu/Zn-ratio and Cu concentrations were linearly associated with COPD risk, whereas the relationship was curvilinear for Zn and COPD risk. A unit increase in Cu/Zn-ratio was associated with an increased COPD risk in multivariable analysis (hazard ratio, HR 1.81; 95% CI 1.08-3.05). The corresponding adjusted HR (95% CI) was 3.17 (1.40-7.15) for Cu. Compared to the bottom tertile of Zn, the HRs (95% CIs) were 0.68 (0.48-0.97) and 1.01 (0.73-1.41) for the middle and top tertiles of Zn, respectively.

CONCLUSIONS

Increased serum Cu/Zn-ratio and Cu concentrations were linearly associated with an increased COPD risk in men.