Effects of heavy metals on hypertension during menopause: a Korean community-based cross-sectional study

Elucidation of toxic effects of 1,2-diacetylbenzene: an in silico study

PURPOSE

We aimed to explore the metabolite products of 1,2-diacetylbenzene (DAB) and investigate their harmful effects, physicochemical properties, and biological activities, along with those of DAB itself.

METHODS

Key approaches included MetaTox, PASS online, ADMESWISS, ADMETlab 2.0, molecular docking, and molecular dynamic simulation to identify metabolites, toxic effects, Lipinski's rule criteria, absorption, distribution, metabolism, and excretion properties, interactions with cytochrome (CYP) 450 isoforms, and the stability of the DAB-cytochrome complex.

RESULTS

A total of 13 metabolite products from DAB were identified, involving Phase I reactions (aliphatic hydroxylation, epoxidation, oxidative dehydrogenation, and hydrogenation) and Phase II reactions (oxidative sulfation and methylation). Molecular dynamics and modeling revealed a stable interaction between CYP1A2 and DAB, suggesting the involvement of CYP1A2 in DAB metabolism. All studied compounds adhered to Lipinski's rule, indicating their potential as inducers or activators of toxic mechanisms. The physicochemical parameters and pharmacokinetics of the investigated compounds were consistent with their harmful effects, which included neurotoxic, nephrotoxic, endocrine disruptor, and hepatotoxic consequences due to their high gastrointestinal absorption and ability to cross the blood-brain barrier. Various CYP450 isoforms exhibited different functions, and the compounds were found to act as superoxide dismutase inhibitors, neuropeptide Y2 antagonists, glutaminase inhibitors, and activators of caspases 3 and 8. DAB and its metabolites were also associated with apoptosis, oxidative stress, and neuroendocrine disruption.

CONCLUSION

The toxic effects of DAB and its metabolites were predicted in this study. Further research is warranted to explore their effects on other organs, such as the liver and kidneys, and to validate our findings.

Effects of mixed heavy metals on obstructive lung function: findings from epidemiological and toxicogenomic data

The molecular mechanisms and associations of mixed heavy metals (lead, mercury, and cadmium) on obstructive lung function (OLF) in males and females remain unknown. Here, we evaluated the interaction between the forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) ratio and three common heavy metals in males and females (n = 6221). Molecular processes involved in OLF development caused by mixed heavy metals were also identified to corroborate the earlier findings. In both males and females, as well as across the entire population, we found that serum cadmium levels were inversely related to the FEV1/FVC ratio. Interactions between serum cadmium and lead, as well as cadmium and mercury, were observed in relation to the FEV1/FVC ratio. Additionally, we observed negative correlations between the FEV1/FVC ratio and mixed serum cadmium, lead, and mercury in both men and women as well as in the overall population. Seven genes were identified as contributing to the etiology of OLF and targeted by combined heavy metals in silico analysis (CYP1A1, CRP, CXCL8, HMOX1, IL6, NOS2, and TNF). The primary relationships between these genes were co-expression interactions. The significant transcription factors and miRNAs associated with OLF and a combination of the examined heavy metals were identified as NFKB2, hsa-miR-155-5p, and hsa-miR-203a-3p. The main biological processes involved in the emergence of OLF induced by mixed heavy metals were listed as inflammatory and oxidative stress pathways, lung fibrosis, chronic obstructive pulmonary disease, as well as cytokine activity, monooxygenase activity, oxidoreductase activity, and interleukin-8 production. Threshold estimations and miRNA sponge patterns for heavy metal exposure levels associated with OLF were evaluated for both males and females. This study found that cadmium plays the most important role in the mixture of cadmium, lead, and mercury in the pathogenesis of OLF. Future studies are required to verify our findings and uncover the molecular mechanisms of long-term exposure to a variety of heavy metals, especially cadmium, in other populations, including children, adolescents, and the elderly.

Higher intakes of nutrients and regular drinking are associated with habitual sleep duration in pre- and postmenopausal women with comorbidities

OBJECTIVES

We aimed to assess the association between nutrient intake, health-related behaviors, and habitual sleep duration in pre- and postmenopausal women.

DESIGN

A cross-sectional study.

PARTICIPANTS

2084 pre- and postmenopausal women aged 18-80 years old.

MEASUREMENTS

Nutrient intake and sleep duration were measured by a 24-hour recall approach and self-reports, respectively. We examined the association and interaction between comorbidities, nutrient intake, and sleep duration groups among 2084 women using data from KNHASES (2016-2018) and multinomial logistic regression.

RESULTS

In premenopausal women, we observed negative associations between very short (<5 hours)/short (5-6 hours)/long (≥9 hours) sleep duration and 12 nutrients (vitamin B1, B3, vitamin C, PUFA, n-6 fatty acid, iron, potassium, phosphorus, calcium, fiber, carbohydrate) and a positive association between retinol and short sleep duration (prevalence ratio (PR), 1.08; 95% CI, 1.01-1.15). In premenopausal women, interactions were found between comorbidities and PUFA (PR, 3.83; 95% CI, 1.56-9.41), n-3 fatty acid (PR, 2.43; 95% CI, 1.17-5.05), n-6 fatty acid (PR, 3.45; 95% CI, 1.46-8.13), fat (PR, 2.77; 95% CI, 1.15-6.64), and retinol (PR, 1.28; 95% CI, 1.06-1.53) for very short and short sleep duration, respectively. Interactions between comorbidities, vitamin C (PR, 0.41; 95% CI, 0.24-0.72), and carbohydrates (PR, 1.67; 95% CI, 1.05-2.70) for very short and short sleep duration in postmenopausal women, respectively. Regular drinking was positively associated with a risk of short sleep duration in postmenopausal women (PR, 2.74, 95% CI: 1.11-6.74).

CONCLUSIONS

Dietary intake and alcohol use were found to be involved in sleep duration, so healthcare staff should encourage women to maintain a healthy diet and reduce alcohol use to improve sleep duration.

An evaluation of the effects of mixed heavy metals on prediabetes and type 2 diabetes: epidemiological and toxicogenomic analysis

The link between mixed heavy metals (mercury, lead, and cadmium), prediabetes, and type 2 diabetes mellitus (T2DM), especially molecular mechanisms, is poorly understood. Thus, we aimed to identify the association between mixed heavy metals and T2DM and its components using a data set from the Korean National Health and Nutrition Examination Survey. We further analyzed the main molecular mechanisms implicated in T2DM development induced by mixed heavy metals using in-silico analysis. Our findings observed that serum mercury was associated with prediabetes, elevated glucose, and ln2-transformed glucose when using different statistical methods. "AGE-RAGE signaling pathway in diabetic complications", "non-alcoholic fatty liver disease", "metabolic Syndrome X", and three miRNAs (hsa-miR-98-5p, hsa-let-7a-5p, and hsa-miR-34a-5p) were listed as the most important molecular mechanisms related to T2DM development caused by mixed heavy metals. These miRNA sponge structures were created and examined, and they may be beneficial in the treatment of T2DM. The predicted cutoff values for three heavy metal levels linked to T2DM and its components were specifically identified. Our results imply that chronic exposure to heavy metals, particularly mercury, may contribute to the development of T2DM. To understand the changes in the pathophysiology of T2DM brought on by a combination of heavy metals, more research is required.

Cadmium, lead, and mercury interactions on obstructive lung function in pre- and postmenopausal women

There was a dearth of information on how heavy metals affect women's lung function. To assess the effects of cadmium, lead, and mercury and their interactions on obstructive lung function in pre- and postmenopausal women. The associations between an individual heavy metal and its mixtures and the first second of forced expiration (FEV1)/forced vital capacity (FVC) were studied using multivariate non-linear, linear, and logistic regression models, Bayesian kernel machine regression (BKMR), and marginal effects in 1821 women. Serum cadmium and lead levels and the percentage of FEV1/FVC < 70% were substantially higher in postmenopausal women than in premenopausal women. Cadmium (β =  - 0.84, 95%, - 1.63 to - 0.05) and lead (β =  - 0.43, 95%CI, - 1.62 to - 0.04) were found to be inversely associated with the FEV1/FVC ratio in premenopausal women, while a combination of cadmium and mercury showed a negative association with the FEV1/FVC ratio in postmenopausal women (β =  - 0.65, 95%CI, - 1.27 to - 0.03). In the non-linear regression model, an inverted U-shape association of mercury with FEV1/FVC indicator was found in postmenopausal women (β =  - 0.78, 95%CI, - 1.41 to - 0.15). In BKMR model, a mixture of three heavy metals was negatively associated with the FEV1/FVC ratio. Cadmium was identified as an important substance associated with lung function decline (posterior inclusion probabilities (PIPs) = 0.731 in premenopausal and PIPs = 0.514 in postmenopausal women). Cadmium appeared linear; an inverted U-shape association of mercury with the FEV1/FVC indicator and slightly positive associations of lead with the FEV1/FVC indicator in postmenopausal women were found. Threshold cutoff values for the studied substances related to clinical lung function decline were established. In conclusion, the presence of mixed heavy metals (cadmium, lead, and mercury) and their association with obstructive lung function showed worse results than separate associations. These findings have important implications for policy and future research about how heavy metals affect women's lungs.

The Effects of a Mixture of Cadmium, Lead, and Mercury on Metabolic Syndrome and Its Components, as well as Cognitive Impairment: Genes, MicroRNAs, Transcription Factors, and Sponge Relationships : The Effects of a Mixture of Cadmium, Lead, and Mercury on Metabolic Syndrome and Its Components, as well as Cognitive Impairment: Genes, MicroRNAs, Transcription Factors, and Sponge Relationships

Converging evidence indicates heavy metal-induced genes, transcription factors (TFs), and microRNAs (miRNAs) are critical pathological components of metabolic syndrome (MetS) and cognitive impairment. Thus, our goals are to identify the interaction of mixed heavy metals (cadmium + lead + mercury) with genes, TFs, and miRNAs involved in MetS and its components, as well as cognitive impairment development. The most commonly retrieved genes for each disease were different, but essential biological pathways such as oxidative stress, altered lipoprotein metabolism, fluid shear stress and atherosclerosis, apoptosis, the IL-6 signaling pathway, and Alzheimer's disease were highlighted. The genes CASP3, BAX, BCL2, IL6, TNF, APOE, HMOX1, and IGF were found to be mutually affected by the heavy metal mixture studied, suggesting the importance of apoptosis, inflammation, lipid, heme, and glucose metabolism in MetS and cognitive impairment, as well as the potentiality of targeting these genes in prospective therapeutic intervention for these diseases. EGR2, ATF3, and NFE2L2 were noted as the most key TFs implicated in the etiology of MetS and its components, as well as cognitive impairment. We also found six miRNAs induced by studied heavy metals were the mutual miRNAs linked to MetS, its components, and cognitive impairment. In particular, we used miRNAsong to construct and verify a miRNA sponge sequence for these miRNAs. These sponges are promising molecules for the treatment of MetS and its components, as well as cognitive impairment.

Interaction between blood cadmium and lead concentration and physical activity on hypertension from the Korean national health and nutrition examination survey in 2008-2013

BACKGROUND

Previous studies have suggested that blood Cd, Pb exposure, and physical activity levels may influence the development of hypertension. This study aimed to investigate the relationship between blood Cd, Pb levels, and hypertension by the level of physical activity in Korean adults using The Korea National Health and Nutrition Examination Survey (KNHANES).

METHODS

We used data from the KNHANES (2008-2013), a nationally representative, cross-sectional, population-based study. We included 8,510 participants who had records of blood Cd, Pb and, blood pressure measurements. Multiple logistic regression was used to examine the association between blood Cd and Pb exposure and the development of hypertension, as well as the modifying effects of physical activity levels. Additive interaction was estimated using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP) and synergy index (S).

RESULTS

Following covariates adjustments, we found significant associations of blood Cd and Pb with higher hypertension prevalence. This association was more apparent in low physical activity while blood Cd and Pb concentrations were not significantly associated with hypertension in participants with more activity. Additionally, there was a significant interaction between blood Cd and physical activity on hypertension risk (RERI = 0.17, 95% CI: -0.36-0.7; AP = 0.12, 95% CI: -0.28-0.52; S = 1.75, 95% CI:1.36-2.14).

CONCLUSIONS

Our results suggest that low physical activity may substantially amplify the adverse effects of blood Pb and Cd exposure on hypertension risk. However, interactions were only found for Cd. Further studies are needed to confirm these findings.

Effects of mixed heavy metals on kidney function in premenopausal and postmenopausal women

OBJECTIVE

To evaluate the relationships between heavy metals (cadmium, lead, and mercury) and their mixtures and estimated glomerular filtration rate (eGFR) in premenopausal and postmenopausal women.

METHODS

Using data from the Korean National Health and Nutrition Examination Survey (2009-2017), multivariate linear regression models, marginal effects, and weighted quantile sum regression, we assessed the associations between single heavy metals and their mixtures and eGFR among 5,372 women.

RESULTS

Risks of reduced eGFR, comorbidities, and heavy metal exposure were found to be higher in postmenopausal women than in premenopausal women. A negative association of cadmium ( β = -2.97; 95% CI, -5.10 to -0.85) and a positive association of mercury ( β = 2.97; 95% CI, 1.49 to 4.44), with eGFR in postmenopausal women. Inverse associations of lead with eGFR in both premenopausal women ( β = -4.75; 95% CI, -6.04 to -3.46) and postmenopausal women ( β = -4.54; 95% CI, -6.96 to -2.13). Interactions were identified between lead and mercury, as well as cadmium and lead for eGFR among premenopausal women ( β = -2.04; 95% CI, -2.98 to -1.10) and postmenopausal women ( β = -3.52; 95% CI, -6.04 to -1.01), respectively. There was a negative association between mixed heavy metals and eGFR in both premenopausal women ( β = -2.23; 95% CI, -3.51 to -0.96) and postmenopausal women ( β = -3.86; 95% CI, -6.89 to -0.83). Lead was found as a key chemical related to reduced eGFR. Cutoff values for each heavy metal concentration related to eGFR were provided.

CONCLUSION

Postmenopausal women were more influenced by mixed heavy metals' effects on kidney function than premenopausal women. Early interventions (eg, water filtering, heavy metal yearly screening) in women, especially postmenopausal women, are needed to reduce the incidence of chronic kidney disease.

Combination of Donepezil and Memantine Attenuated Cognitive Impairment Induced by Mixed Endocrine-Disrupting Chemicals: an In Silico Study

Little is known about the effects of endocrine-disrupting chemicals (EDCs) and the combination of memantine and donepezil on the pathogenesis of cognitive impairment. Here, we aimed to identify in silico the molecular mechanisms of the combination of memantine and donepezil that combat cognitive impairment induced by nine common EDCs using GeneMania, AutoDock Vina, Metascape, SwissADME, MIENTURNET, and miRNAsong. We observed that the mixture of memantine and donepezil had therapeutic effects on mixed EDC-induced cognitive impairment via five genes (TNF, ACHE, BAX, IL1B, and CASP3). With ACHE and TNF, donepezil and memantine both had a high docking score, respectively. The predominant connections among five mutual genes were physical interactions (77.6%). The major pathways associated with memantine and donepezil countering cognitive impairment generated by mixed EDCs were discovered to be "AGE-RAGE signaling pathway in diabetic complications," "pro-survival signaling of neuroprotectin D1," and "non-alcoholic fatty liver disease." The miRNAs and transcription factors implicated in memantine and donepezil protecting against mixed EDCs were hsa-miR-128-3p and hsa-miR-34a-5p, NFKB1, NFKB2, IRF8, and E2F4. The sponges' tertiary structure predictions for two major miRNAs were provided. The physicochemical and pharmacokinetic properties of memantine and donepezil highlighted the need for a therapeutic combination of these medications to treat cognitive impairment.

Roles of Curcumin on Cognitive Impairment Induced by a Mixture of Heavy Metals

We aimed to explore the molecular mechanisms of curcumin's protective action against heavy metal-related cognitive impairment (CI). In silico analysis, CTD, SwissADME, AutoDock Vina, Metascape, GeneMania, and MIENTURNET were key approaches. The server-predicted interactions (41.7%) and physical interactions (35.7%) were found to be the most important interactions in the gene network analysis. The most important pathways involved in curcumin's protective activity against heavy metals were categorized as "regulation of neuron apoptotic process" and "negative regulation of apoptotic signaling route". These pathways were also emphasized in the protein-protein interaction enrichment analysis. Curcumin was also well-positioned inside the CASP3 binding region. Three key miRNAs linked to CI, mixed heavy metals, and curcumin (hsa-miR-34a-5p, hsa-miR-24-3p, and hsa-miR-128-3p) were observed. These miRNAs were found to be related to the important pathways related to CI and involved in curcumin's protective activity against mixed heavy metals such as "apoptosis multiple species", "apoptosis", and "Alzheimer's disease". We also created and tested in silico sponges that inhibited these miRNAs. Curcumin's physicochemical characteristics and pharmacokinetics are consistent with its therapeutic benefits in CI, owing to its high gastrointestinal absorption and ability to cross the blood-brain barrier, and it is not a P-glycoprotein substrate. Our findings emphasize the protective effects of curcumin in CI caused by heavy metal mixtures and pave the way for molecular mechanisms involved in CI pathology.

Effects of heavy metals on cardiovascular diseases in pre and post-menopausal women: from big data to molecular mechanism involved

To assess the link between a mixed heavy metal (cadmium, lead, and mercury) and the 10-year risk of cardiovascular diseases (CVDs) in pre- and post-menopausal Korean women aged ≥20 years, as well as identify potential molecular mechanisms of mixed heavy metal-induced CVDs. Multivariate linear regression, weighted quantile sum (WQS) regression, quantile g-computation (gqcomp), and Bayesian kernel machine regression (BKMR) models were used to examine the effects of mixed heavy metals and the 10-year risk of CVDs. The Comparative Toxicogenomics Database, MicroRNA ENrichment TURned NETwork, and the microRNA sponge generator and tester were used as the key data-mining approaches. In our BKMR analysis, we found that the overall effect of mixed heavy metals was linked to the 10-year risk of CVDs in postmenopausal women in the upper 20^th percentiles and in premenopausal women in the upper 55^th percentiles. Mercury was identified as the key chemical for the 10-year risk of CVDs in pre- and postmenopausal women. In silico analysis revealed that a heavy metal mixture interacted with six genes associated with CVD development. Physical interactions (77.6%) were found to be the most common among CVD-related genes induced by the heavy metals studied. Several pathways have been identified as the main molecular mechanisms that could be affected by studied heavy metals and are implicated in the development of CVDs (e.g., lipid and lipoprotein metabolism, lipoprotein metabolism, cholesterol metabolism, and cardiovascular disease). ALB, APOE, ATF5, and CREB3L3 were the key genes and transcription factors related to CVDs induced by the mixture of the investigated heavy metals, respectively. The two miRNAs with the highest interaction and expression in the development of CVDs were hsa-miR-199a-5p and hsa-miR-199a-3p. We also designed and tested miRNA sponge sequences for these miRNAs. The cutoff thresholds for each heavy metal level linked with the 10-year risk of CVDs were described. A mixture of heavy metal exposures, especially mercury, was more strongly linked with the 10-year risk of CVDs in postmenopausal women than in premenopausal women. Early interventions in postmenopausal women should be considered to reduce CVD risks.

Effects of chemical mixtures on liver function biomarkers in the Korean adult population: thresholds and molecular mechanisms for non-alcoholic fatty liver disease involved

There is a scarcity of research on the effects of a mixture of chemicals on liver function biomarkers and non-alcoholic fatty liver disease (NAFLD) indices, including FSI, HIS, and FBI-4. Thus, we aimed to explore whether there is an association between chemical mixtures, including 26 chemicals found in blood and urine, liver function biomarkers, and non-alcoholic fatty liver disease (NAFLD) indices in Korean adults. The effects of exposure to chemical mixtures on liver function biomarkers and NAFLD indices were investigated using linear regression models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) among 3669 adults. In silico toxicogenomic data-mining, we evaluated molecular mechanisms associated with NAFLD, including pathways, diseases, genes, miRNAs, and biological processes. The linear regression models showed blood or urine Hg levels were the most important factors associated with AST, ALT, GGT, FSI, and HSI levels, and significant trends were observed for these chemical quartiles (p < 0.01). The WQS index was significantly associated with ALT, GGT, FSI, and HSI. The qgcomp index also found an association between chemicals and AST, ALT, GGT, and FSI. In the BKMR model, the overall effect of the mixture was significantly related to ALT, GGT, FSI, and HSI. In silico analysis, we found mixed chemicals interacted with the CYP1A2 gene and were associated with NAFLD. Seventy-eight percent of interactions were identified as physical interactions in the CYP1A2 gene related to NAFLD. Transcription factor regulation in adipogenesis and lipid metabolic processes are fundamental molecular mechanisms that could be influenced by NAFLD-related mixed chemicals. Cutoff thresholds for chemical exposure levels associated with liver function indicators and NAFLD indices were also reported. The strongest interactions and expression of miRNAs involved in NAFLD development were also identified.

Interactions between nutrient intake and comorbidities for quality of life in premenopausal and postmenopausal women

OBJECTIVE

This study aimed to identify the associations between nutrient intake and health-related quality of life (HRQOL) in premenopausal and postmenopausal women.

METHODS

Using data from Korean National Health and Nutrition Examination Surveys (2019-2020), EQ-5D-3L, and multivariate logistic and linear regression models, we analyzed the association and interaction between nutrient intake, comorbidities, and HRQOL among 4,027 Korean women.

RESULTS

Nutrient intake levels were lower in postmenopausal women than in premenopausal women. Interactions were observed between numerous nutrient intakes and comorbidities for HRQOL among premenopausal and postmenopausal women. Higher intakes of various nutrients (particularly, folic acid and vitamin A) were related to higher HRQOL scores in premenopausal women with comorbidities (log of inverse HRQOL scores, β = -0.31 [95% confidence interval [CI], -0.58 to -0.05] and β = -0.19 [95% CI, -0.37 to -0.001]) and postmenopausal women with comorbidities (log of inverse HRQOL scores, β = -0.34 [95% CI, -0.61 to -0.07] and β = -0.19 [95% CI, -0.38 to -0.01]), respectively. Regular exercise was associated with a lower risk of mobility problems (odds ratio [OR], 0.59; 95% CI, 0.44-0.81), self-care problems (OR, 0.53; 95% CI, 0.28-0.99), usual activity problems (OR, 0.42; 95% CI, 0.26-0.67), and any problem (OR, 0.71; 95% CI, 0.56-0.90), as well as an increase in HRQOL score (log of inverse HRQOL scores, β = -0.42; 95% CI, -0.68 to -0.16) in postmenopausal women. Smoking was related to a higher prevalence of depression and anxiety problems (OR, 2.51; 95% CI, 1.53-4.13) and any problem (OR, 1.67; 95% CI, 1.11-2.52), as well as a decrease in HRQOL scores (log of inverse HRQOL scores, β = 0.51; 95% CI, 0.14-0.88) in premenopausal women.

CONCLUSIONS

Given the lower nutrient intake levels in postmenopausal women, it is critical to establish HRQOL-improving approaches for this population, including regular exercise, nutrient intake, and smoking cessation.

Cadmium, lead, and mercury mixtures interact with non-alcoholic fatty liver diseases

There is a scarcity of studies on the interactions between heavy metals and non-alcoholic fatty liver disease (NAFLD). Using a variety of statistical approaches, we investigated the impact of three common heavy metals on liver enzymes and NAFLD markers in a Korean adult population. We observed that cadmium, mercury, and lead all demonstrated positive correlations with liver enzymes and NAFLD indices. Our findings were mostly robust in secondary analysis, which included three novel mixture modeling approaches (WQS, qgcomp, and BKMR) as well as in silico investigation of molecular mechanisms (genes, miRNAs, biological processes, pathways, and illnesses). The 16 genes interacted with a mixture of heavy metals, which was linked to the development of NAFLD. Co-expression was discovered in nearly half of the interactions between the 18 NAFLD-linked genes. Key molecular pathways implicated in the pathogenesis of NAFLD generated by the heavy metal combination include activated oxidative stress, altered lipid metabolism, and increased cytokines and inflammatory response. Heavy metal exposure levels were related to liver enzymes and NAFLD indices, and cutoff criteria were revealed. More studies are needed to validate our findings and gain knowledge about the effects of chronic combined heavy metal exposure on adult and child liver function and the likelihood of developing NAFLD. To reduce the occurrence of NAFLD, early preventative and regulatory actions (half-yearly screening of workers at high-risk facilities; water filtration; avoiding excessive amounts of seafood, etc.) should be taken.

The Effect of Mixture of Heavy Metals on Obesity in Individuals ≥50 Years of Age

Little is known about the association between a mixture of heavy metals and obesity among individuals ≥50 years of age with comorbidities. Thus, we identified the associations of serum cadmium (Cd), lead (Pb), and mercury (Hg) with obesity using linear regression models; weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) were conducted as secondary analyses. Of the 6434 subjects included in the analysis, 13.8% had obesity and 44.6% had abdominal obesity. In the logistic regression model, serum Hg was associated with obesity and abdominal obesity, and significant trends were observed for these heavy metal tertiles (p < 0.001). Serum Hg levels were also associated with body mass index (BMI) and waist circumference (WC). The WQS index was significantly associated with both obesity (OR = 1.43, 95% CI: 1.40-1.46) and abdominal obesity (β = 1.51, 95% CI: 1.48-1.54). The qgcomp index also found a significant association between heavy metals and both obesity (OR = 1.35, 95% CI: 1.12-1.63) and abdominal obesity (OR = 1.34, 95% CI: 1.12-1.60). Serum Hg was the most heavily weighed heavy metal in these models. In BKMR analysis, the overall effect of the mixture was significantly associated with obesity, BMI, and WC. Serum Hg showed positive trends and was observed as the most important factor associated with obesity, BMI, and WC. Our findings were largely robust to secondary analyses that used three novel mixture modeling approaches: WQS, qpcomp, and BKMR. Given increasing exposure to heavy metals, well-characterized cohorts of individuals aged ≥50 years are required to determine the mixed effects of heavy metals on obesity and related diseases.

The effects of chemical mixtures on lipid profiles in the Korean adult population: threshold and molecular mechanisms for dyslipidemia involved

A scarcity of research assesses the effects of exposure to a combination of chemicals on lipid profiles as well as molecular mechanisms related to dyslipidemia. A cross-sectional study of 3692 adults aims to identify the association between chemical mixtures, including blood and urine 26 chemicals, and lipid profiles among Korean adults (aged ≥ 18) using linear regression models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR). In silico toxicogenomic data-mining, we assessed molecular mechanisms linked with dyslipidemia, including genes, miRNAs, pathways, biological processes, and diseases. In the linear regression models, heavy metals, volatile organic compound metabolites, and phthalate metabolites were found to be related to HDL-C, triglycerides, LDL-C, total lipids, and total cholesterol, and significant trends were observed for these chemical quartiles (p < 0.01). The WQS index was significantly linked with HDL-C, triglycerides, LDL-C, total cholesterol, and total lipids. The qgcomp index also found a significant association between chemicals and HDL-C, triglycerides, and total lipids. In BKMR analysis, the overall effect of the chemical mixture was significantly associated with HDL-C, triglycerides, total cholesterol, and total lipids. We found that mixed chemicals interacted with the PPARA gene and were linked with dyslipidemia. Several pathways ("SREBF and miR33 in cholesterol," "estrogen receptor pathway and lipid homeostasis," and "regulation of PGC-1α"), "negative regulation of hepatocyte apoptotic process," "negative regulation of sequestering of triglycerides," "regulation of hepatocyte apoptotic process," and "negative regulation of cholesterol storage," and "abdominal obesity metabolic syndrome" were identified as key molecular mechanisms that may be affected by mixed chemicals and implicated in the development of dyslipidemia. The highest interaction and expression of miRNAs involved in the process of dyslipidemia were also described. Especially, the cutoff levels for chemical exposure levels related to lipid profiles were also provided.

Anti-inflammatory effects of B vitamins protect against tau hyperphosphorylation and cognitive impairment induced by 1,2 diacetyl benzene: An in vitro and in silico study

1,2 diacetyl benzene (DAB) penetrates the blood-brain barrier, causing neuroinflammation, tau hyperphosphorylation, and cognitive impairment. Converging evidence supports the anti-inflammatory effects of B vitamins on cognitive impairment, but the effects of B vitamins on cognitive impairment induced by DAB remain unclear. Here, we investigated the anti-inflammatory properties of B vitamins in DAB-stimulated human neuroblastoma SH-SY5Y cells. In this in-silico analysis, we investigated the genes, transcription factors, miRNAs, and sponges linked with DAB, B vitamins and the pathogenesis of cognitive impairment. We found vitamins B1, B2, and B3 had anti-inflammatory properties in DAB-stimulated SH-SY5Y cells, possibly via inhibiting NF-κB activation. Furthermore, vitamins B1, B2, and B3 inhibited GSK-3β, β-amyloid, and tau hyperphosphorylation in SH-SY5Y cells. These vitamins can also modulate genes induced by DAB (IL1B, IL6, IL10, iNOS, COX2, NFκB, GSK3B, TNF, and APP) in SH-SY5Y cells. In silico analyses, inflammatory response related pathways, "Alzheimer's disease", "pathways of neurodegeneration-multiple disease", and "prolactin signaling pathway", were highlighted. Additionally, we explored a network-based approach to identify key genes, transcription factors, miRNAs, and pathways in cognitive impairment. The transcription factors NFKB2 and BATF3 were shown to be the most important in regulating genes. We also found eight significant miRNAs related to cognitive impairment, and these miRNAs were also validated by qPCR. Finally, we developed and tested in silico miRNA sponge sequences for these miRNAs.

An increased intake of thiamine diminishes the risk of metabolic syndrome in the Korean population with various comorbidities

BACKGROUND AND AIMS

There is growing evidence that thiamine supplementation could reverse non-communicable diseases such as diabetes and cardiovascular diseases. However, the role of thiamine in metabolic syndrome (MetS) remains unclear. We hypothesized whether an increased intake of thiamine diminishes the risk of MetS in the Korean population with various comorbidities. This study aimed to assess the association between thiamine intake and MetS among adults with comorbidities.

METHODS

57,523 eligible participants aged over 18 years between 2009 and 2019 were recruited to obtain data on sociodemographic characteristics, medical history, current medications, lifestyle, and family history. A 24-h recall was used to determine thiamine intake. Odds ratio (OR) for MetS was calculated for log2-transformed thiamine intake values, subsequently predicting the risk of MetS based on the marginal effect.

RESULTS

The risk of MetS was significantly higher in subjects with comorbidities than in those without comorbidities. A doubling of daily thiamine intake was significantly associated with a decrease in MetS among adults with comorbidities by 7% (OR 0.93; 95%CI 0.89-0.97).

CONCLUSIONS

The potential health benefits result from the intake of thiamine through an ordinary diet in the clinical management of MetS. Therefore, there is an ongoing need to look into these links between thiamine supplementation and MetS in well-characterized cohorts of participants with comorbidities.

Mixtures modeling identifies heavy metals and pyrethroid insecticide metabolites associated with obesity

We aim to examine the association between chemical mixtures and obesity. Blood and urinary levels of tween-six chemicals were measured in adults who participated in the KoNEHS. We identified the associations of chemicals with obesity using linear regression models. Weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) were conducted as secondary analyses. Of the 3,692 participants included in the analysis, 18.0% had obesity. In the logistic regression model, mercury (Hg), lead (Pb), and 3PBA levels were associated with obesity, and significant trends were observed for these chemical tertiles (p < 0.001). Hg, Pb, and 3PBA levels were also associated with BMI. The WQS index was significantly associated with both obesity (OR = 2.15, 95% CI: 2.11-2.20) and BMI (β = 0.39, 95% CI: 0.37-0.51). The qgcomp index also found a significant association between chemicals and both obesity (OR = 1.70, 95% CI: 1.56-1.85) and BMI (β = 0.40, 95% CI: 0.39-0.41). Hg, Pb, and 3PBA were the most heavily weighed chemicals in these models. In BKMR analysis, the overall effect of the mixture was significantly associated with obesity. Hg, Pb, and 3PBA showed positive trends and were observed as the most important factors associated with obesity. Given increasing exposure to chemicals, there is a need to investigate the associations between chemical exposures, either separately or together, and incident obesity risk factors in well-characterized cohorts of different populations, and to identify potential approaches to chemical exposure prevention.

The association between curry-rice consumption and hypertension, type 2 diabetes, and depression: The findings from KNHANES 2012-2016

BACKGROUND AND AIMS

We aim to evaluate the association between curry-rice consumption, cardiovascular diseases (CVDs), type 2 diabetes (T2DB), arthritis, and depression.

METHODS

17,625 participants aged ≥18 years were recruited to obtain data on sociodemographic characteristics, lifestyle, medical history, current medications, family history, and food consumption. The association between curry-rice consumption, CVDs, T2DB, arthritis, and depression was examined using multivariable-adjusted analyses.

RESULTS

In the logistic model, risks of elevated triglyceride (OR 0.89; 95% CI, 0.82-0.97, p = 0.006), elevated HbA1c (OR 0.81; 95% CI, 0.73-0.91, p < 0.001), and elevated glucose (OR 0.86; 95% CI, 0.79-0.94, p < 0.001) were significantly lower in the high curry-rice consumption group than in the low curry-rice consumption group. Risk of hypertension (OR 0.88; 95% CI, 0.78-0.98, p = 0.044), T2DB (OR, 0.82; 95% CI, 0.68-0.98, p < 0.001), and depression (OR 0.82; 95% CI, 0.70-0.97, p = 0.026) was significantly lower among the high curry-rice consumption group than in the low curry-rice consumption group. These findings were consistent with the results of the analysis when curry-rice consumption was treated as a continuous variable.

CONCLUSIONS

The potential health benefits resulting from the intake of curry-rice via an ordinary diet could protect the public from the burden of non-communicable diseases (NCDs) and mental health. These results highlight an ongoing need to understand the role of curry-rice in NCDs and mental health.

Association between exposure to chemical mixtures in relation to serum total IgE among adults 19-86 years old

There is a scarcity of studies on the effects of mixed chemicals on total IgE. We aim to assess whether there is a link between chemical mixtures (blood and urine of 26 chemicals including lead, mercury, cadmium, t,t-muconic acid, benzylmercapturic acid , 1-hydroxypyrene, 2-naphthol, 2-hydroxyfluorene, 1-hydroxyphenanthrene, mono-(2-ethyl-5-hydroxyhexyl) phthalate, mono-(2-ethyl-5-oxohexyl) phthalate, mono-n-butyl phthalate, mono-benzyl phthalate, mono-(2-ethyl-5-carboxypentyl) phthalate, mono-carboxyoctyl phthalate, mono-carboxy-isononly phthalate, mono (3-carboxypropyl) phthalate, bisphenol A, bisphenol F, bisphenol S, triclosan, methylparaben, ethylparaben, propylparaben, 3-phenoxybenzoic acid, and cotinine), and total IgE in 3,642 Korean adults aged ≥ 19. The effects of mixed chemical exposure on total IgE were identified using linear regression models, weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR). The most relevant factors linked with IgE, according to the linear regression models, were blood or urine mercury and urine bisphenol A levels, with significant trends detected for these chemical tertiles (p < 0.01). The WQS index was significantly linked with ln2-transformed levels of serum total IgE (β = 0.30, 95 %CI 0.25-0.32). The qgcomp index also found a significant link between chemicals and ln2-transformed levels of serum total IgE (β = 0.52, 95 %CI 0.21-0.82), and elevated serum total IgE levels (OR = 2.55, 95 %CI 1.14-5.71). In BKMR analysis, the overall effect of the mixture was significantly associated with ln2-transformed levels of serum total IgE. The cutoff levels for exposure levels related to serum total IgE levels/elevated serum total IgE levels were reported. We discovered that whole-body exposure to 26 chemicals was associated with serum total IgE levels after assessing the findings of these four models. More research is needed in the future to gain a better understanding of the impact of mixed chemical exposure on allergic disorders and how to minimize chemical exposure, especially for people under the age of 18.