1
|
Danesh Yazdi M, Sonntag A, Kosheleva A, Nassan FL, Wang C, Xu Z, Wu H, Laurent LC, DeHoff P, Comfort NT, Vokonas P, Wright R, Weisskopf M, Baccarelli AA, Schwartz JD. The association between toenail metals and extracellular MicroRNAs (ex-miRNAs) among the participants of the Normative Aging study (NAS). ENVIRONMENTAL RESEARCH 2024; 261:119761. [PMID: 39122161 DOI: 10.1016/j.envres.2024.119761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/22/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Mechanistic studies of the effects of environmental risk factors have been exploring the potential role of microRNA(miRNAs) as a possible pathway to clinical disease. In this study we examine whether levels of toenail metals are associated with changes in extracellular miRNA(ex-miRNA) expression. METHODS We used data derived from the Normative Aging Study from 1996 to 2014 to conduct our analyses. We looked at associations between measured toenail metals: arsenic, cadmium, lead, manganese, and mercury and 282 ex-miRNAs in this population using canonical correlation analyses (CCAs) and longitudinal median regression. We adjusted for covariates such as age, education, body mass index, drinking and smoking behaviors, diabetes, and where available, seafood consumption. The p-values obtained from regression analyses were corrected for multiple comparisons. Ex-miRNAs identified to be associated with toenail metal levels were further examined using pathway analyses. RESULTS Our dataset included 937 observations from 589 men with an average age of 72.9 years at baseline. Both our correlation and regression analyses identified lead and cadmium as exposures most strongly associated with ex-miRNA expression. Numerous ex-miRNAs were identified as being associated with toenail metal levels. miR-27b-3p, in particular, was found to have high correlation with the first canonical dimension in the CCA and was significantly associated with cadmium in the regression analysis. Pathway analyses revealed messenger RNA (mRNA) targets for the ex-miRNAs that were associated with a number of clinical disorders including cancer, cardiovascular disease, and neurological disorders, etc. CONCLUSION: Toenail metals were associated with changes in ex-miRNA levels in both correlational and regression analyses. The ex-miRNAs identified can be linked to a variety of clinical disorders. Further studies are required to validate these findings.
Collapse
Affiliation(s)
- Mahdieh Danesh Yazdi
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
| | - Allison Sonntag
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Feiby L Nassan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zongli Xu
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Louise C Laurent
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Peter DeHoff
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California San Diego, La Jolla, CA, USA
| | - Nicole T Comfort
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Pantel Vokonas
- VA Normative Aging Study, Department of Veterans Affairs, Boston, MA, USA; Department of Medicine, Chobanian and Avidisian School of Medicine, Boston University, Boston, MA, USA
| | - Robert Wright
- Institute for Exposomic Research, Mount Sinai School of Medicine, New York, NY, USA
| | - Marc Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
2
|
Deng Q, Wei Y, Liu K, Wu D, Zhu X, Xu M, Bai Y. Essential metals modified the effects of polycyclic aromatic hydrocarbons on the metabolic syndrome: Mediation effects of miRNA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167506. [PMID: 37788778 DOI: 10.1016/j.scitotenv.2023.167506] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/25/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
Metabolic syndrome (MetS) prevalence has increased dramatically worldwide and has become a public health issue. Polycyclic aromatic hydrocarbons (PAHs) were identified as risk factors of MetS, while essential metals are integral parts of metalloenzymes catalyzing metabolic processes. However, effects of co-exposure to PAHs and essential metals have not been investigated yet. We aimed to assess whether essential metals could modify the hazard effects of PAHs on MetS, and underlying mediation effects of microRNA (miRNAs) were further explored. A cross-sectional study of 1451 males including 278 MetS cases was conducted. Internal exposure levels of 5 classes of PAH metabolites, 7 essential metals, as well as expressions of PAHs-associated 8 plasma miRNAs were assessed. Multiple exposure models, Bayesian kernel machine regression (BKMR), and quantile g-computation (QGcomp) were used simultaneously to identify MetS-related critical chemicals. Mutual effect modification between chemicals and mediation effects of miRNAs on chemical-MetS association was testified. In this study, hydroxyphenanthrene (OHPhe) and selenium (Se) were consistently identified as MetS-related key chemicals in three statistical methods. OHPhe was positively associated with MetS [OR (95 % CI) = 1.79 (1.21, 2.65), P = 0.004], while Se had a negative relationship with MetS [OR (95 % CI) = 0.61 (0.43, 0.87), P = 0.007]. Effect modification analysis observed the association between OHPhe and MetS was weakened with increased Se exposure. Only the expression of miR-24-3p was negatively associated with MetS [OR (95 % CI) = 0.81 (0.66, 0.95), P = 0.048] and could mediate 16.1 % of OHPhe-MetS association in subjects with low Se exposure (≤0.87 μg/mmol creatinine) (P = 0.019). We found a mutual effect modification between OHPhe and Se on MetS, and the positive OHPhe-MetS association was attenuated with increased Se exposure. Mediation effects of miR-24-3p on OHPhe-MetS association were dependent on Se dose. Our findings may provide new insight into the prevention and intervention of MetS.
Collapse
Affiliation(s)
- Qifei Deng
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Yanzhu Wei
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Kang Liu
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Degang Wu
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Xinyu Zhu
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Mengya Xu
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China
| | - Yansen Bai
- Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao, Panyu District, Guangzhou 511416, China.
| |
Collapse
|
3
|
Lu L, Li Y, Chen C, Zhang Y, Guo W, Zhang S, Kahe K. Associations of cadmium exposure with risk of metabolic syndrome and its individual components: a meta-analysis. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:846-854. [PMID: 35585250 DOI: 10.1038/s41370-022-00444-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 04/17/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Data directly associating cadmium (Cd) with metabolic syndrome (MetS) are sparse and inconsistent. We aimed to quantitatively assess the association of Cd exposure with risk of MetS and its individual components. Literature searching was performed in PubMed, EMBASE, and MEDLINE-OVID through September, 2021. Weighted odds ratios (ORs) for MetS and its components were pooled by comparing the highest to the lowest category of Cd exposure using random-effects models. Eleven (10 from Asia and 1 from the US) cross-sectional studies (33,887 participants and 7176 cases) were identified. Overall, Cd exposure was not associated with risk of MetS [OR: 1.08, 95% confidence interval (CI): 0.92, 1.28]. However, the association became significant when pooling Asian studies (OR: 1.18, 95% CI: 1.02, 1.35), and it was more pronounced with Cd measured in blood (OR: 1.24, 95% CI: 1.05, 1.45). Additionally, Cd exposure was significantly associated with reduced HDL-cholesterol (OR: 1.27, 95% CI: 1.05, 1.54) and elevated triglyceride (OR: 1.17, 95% CI: 1.05, 1.30), but not other components. This meta-analysis indicates that Cd exposure is associated with risk of MetS among Asian populations, which is mainly explained by Cd's association with dyslipidemia. Further studies are needed to better understand the mechanism of action.
Collapse
Affiliation(s)
- Liping Lu
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Yuexia Li
- Department of Intensive Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Cheng Chen
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Yijia Zhang
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA
| | - Wenzhi Guo
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shuijun Zhang
- Key Laboratory of Hepatobiliary and Pancreatic Surgery and Digestive Organ Transplantation of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ka Kahe
- Department of Obstetrics and Gynecology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
| |
Collapse
|
4
|
Nie Q, Wang C, Zhou L. Association between Serum Selenium Levels and Lipids among People with and without Diabetes. Nutrients 2023; 15:3190. [PMID: 37513608 PMCID: PMC10383610 DOI: 10.3390/nu15143190] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/09/2023] [Accepted: 07/16/2023] [Indexed: 07/30/2023] Open
Abstract
The current study aimed to examine the association between serum selenium levels and lipids and explore whether the association was modified by diabetic status. A total of 4132 adults from the National Health and Nutrition Examination Survey (2011-2016) were included in this study. Multiple linear regression models were used to estimate the association between serum selenium and lipids. Higher serum selenium levels were significantly associated with increased total cholesterol (TC) (p < 0.001), triglyceride (TG) (p = 0.003), and low-density lipoprotein cholesterol (LDL-C) (p = 0.003) in the overall population. Diabetic status interacted with serum selenium for TC and LDL-C (p for interaction = 0.007 and <0.001). Comparing the highest with the lowest tertiles of serum selenium, the multivariate-adjusted β coefficients (95% CIs) were 17.88 (10.89, 24.87) for TC, 13.43 (7.68, 19.18) for LDL-C among subjects without diabetes, but nonsignificant among those with diabetes. In US adults, the serum selenium was positively associated with lipids and the association was modified by diabetic status. Higher serum selenium levels were significantly associated with increased TC and LDL-C among participants without diabetes, but not among participants with diabetes.
Collapse
Affiliation(s)
- Qi Nie
- Department of Nutrition, Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Changsi Wang
- Department of Nutrition, Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Li Zhou
- Department of Nutrition, Hygiene and Toxicology, Academy of Nutrition and Health, School of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
| |
Collapse
|
5
|
Li W, Huang G, Tang N, Lu P, Jiang L, Lv J, Qin Y, Lin Y, Xu F, Lei D. Effects of heavy metal exposure on hypertension: A machine learning modeling approach. CHEMOSPHERE 2023; 337:139435. [PMID: 37422210 DOI: 10.1016/j.chemosphere.2023.139435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/10/2023]
Abstract
Heavy metal exposure is a common risk factor for hypertension. To develop an interpretable predictive machine learning (ML) model for hypertension based on levels of heavy metal exposure, data from the NHANES (2003-2016) were employed. Random forest (RF), support vector machine (SVM), decision tree (DT), multilayer perceptron (MLP), ridge regression (RR), AdaBoost (AB), gradient boosting decision tree (GBDT), voting classifier (VC), and K-nearest neighbour (KNN) algorithms were utilized to generate an optimal predictive model for hypertension. Three interpretable methods, the permutation feature importance analysis, partial dependence plot (PDP), and Shapley additive explanations (SHAP) methods, were integrated into a pipeline and embedded in ML for model interpretation. A total of 9005 eligible individuals were randomly allocated into two distinct sets for predictive model training and validation. The results showed that among the predictive models, the RF model demonstrated the highest performance, achieving an accuracy rate of 77.40% in the validation set. The AUC and F1 score for the model were 0.84 and 0.76, respectively. Blood Pb, urinary Cd, urinary Tl, and urinary Co levels were identified as the main influencers of hypertension, and their contribution weights were 0.0504 ± 0.0482, 0.0389 ± 0.0256, 0.0307 ± 0.0179, and 0.0296 ± 0.0162, respectively. Blood Pb (0.55-2.93 μg/dL) and urinary Cd (0.06-0.15 μg/L) levels exhibited the most pronounced upwards trend with the risk of hypertension within a specific value range, while urinary Tl (0.06-0.26 μg/L) and urinary Co (0.02-0.32 μg/L) levels demonstrated a declining trend with hypertension. The findings on the synergistic effects indicated that Pb and Cd were the primary determinants of hypertension. Our findings underscore the predictive value of heavy metals for hypertension. By utilizing interpretable methods, we discerned that Pb, Cd, Tl, and Co emerged as noteworthy contributors within the predictive model.
Collapse
Affiliation(s)
- Wenxiang Li
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China.
| | - Guangyi Huang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Ningning Tang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Peng Lu
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Li Jiang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Jian Lv
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Yuanjun Qin
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Yunru Lin
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China
| | - Fan Xu
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China.
| | - Daizai Lei
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology, Nanning, 530021, China.
| |
Collapse
|
6
|
Lakka N, Pai B, Mani MS, Dsouza HS. Potential diagnostic biomarkers for lead-induced hepatotoxicity and the role of synthetic chelators and bioactive compounds. Toxicol Res (Camb) 2023; 12:178-188. [PMID: 37125327 PMCID: PMC10141777 DOI: 10.1093/toxres/tfad014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/27/2023] [Accepted: 02/19/2023] [Indexed: 03/14/2023] Open
Abstract
Lead (Pb2+) poisoning is a public health concern of global dimensions. Although several public health guidelines and workplace safety policies are existing and enforced, lead toxicity cases are drastically increasing. Lead exposure leads to numerous harmful consequences and causes adverse effects on different body organs and systems, mainly via the generation of reactive oxygen species, leading to augmented oxidative stress, competing with metal ions, and binding with the sulfhydryl groups. In several instances, lead poisoning cases remain undiagnosed and untreated or receive only symptomatic treatment. Estimation of blood lead levels reflects only a recent exposure, however, which does not reveal the total body burden. This review summarizes the effects of lead with special reference to hepatotoxicity and some of the potential diagnostic biomarkers. Furthermore, it also focuses on synthetic chelators used in the treatment of lead poisoning and the advantage of using bioactive compounds with an emphasis on the ameliorative effect of garlic.
Collapse
Affiliation(s)
- Netranandini Lakka
- Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
| | - Bhagyashree Pai
- Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
| | - Monica Shirley Mani
- Department of Radiation Biology and Toxicology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
| | - Herman Sunil Dsouza
- Department of Radiation Biology and Toxicology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
| |
Collapse
|
7
|
Zhang Y, Huang B, Jin J, Xiao Y, Ying H. Recent advances in the application of ionomics in metabolic diseases. Front Nutr 2023; 9:1111933. [PMID: 36726817 PMCID: PMC9884710 DOI: 10.3389/fnut.2022.1111933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 12/30/2022] [Indexed: 01/19/2023] Open
Abstract
Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elemental analytical techniques and bioinformatics methods, it is possible to elucidate the relationship between the metabolism and homeostasis of diverse elements and common diseases. The current review aims to provide an overview of recent advances in the application of ionomics in metabolic disease research. We mainly focuses on the studies about ionomic or multi-elemental profiling of different biological samples for several major types of metabolic diseases, such as diabetes mellitus, obesity, and metabolic syndrome, which reveal distinct and dynamic patterns of ion contents and their potential benefits in the detection and prognosis of these illnesses. Accumulation of copper, selenium, and environmental toxic metals as well as deficiency of zinc and magnesium appear to be the most significant risk factors for the majority of metabolic diseases, suggesting that imbalance of these elements may be involved in the pathogenesis of these diseases. Moreover, each type of metabolic diseases has shown a relatively unique distribution of ions in biofluids and hair/nails from patients, which might serve as potential indicators for the respective disease. Overall, ionomics not only improves our understanding of the association between elemental dyshomeostasis and the development of metabolic disease but also assists in the identification of new potential diagnostic and prognostic markers in translational medicine.
Collapse
Affiliation(s)
- Yan Zhang
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China,Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China,*Correspondence: Yan Zhang ✉
| | - Biyan Huang
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Jiao Jin
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Yao Xiao
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Huimin Ying
- Affiliated Hangzhou Xixi Hospital, Zhejiang University School of Medicine, Hangzhou, China,Huimin Ying ✉
| |
Collapse
|
8
|
Tian FY, Kennedy EM, Hermetz K, Burt A, Everson TM, Punshon T, Jackson BP, Hao K, Chen J, Karagas MR, Koestler DC, Marsit C. Selenium-associated differentially expressed microRNAs and their targeted mRNAs across the placental genome in two U.S. birth cohorts. Epigenetics 2022; 17:1234-1245. [PMID: 34784848 PMCID: PMC9542509 DOI: 10.1080/15592294.2021.2003044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/21/2021] [Accepted: 11/02/2021] [Indexed: 10/19/2022] Open
Abstract
Selenium is an important micronutrient for foetal development. MicroRNAs play an important role in the function of the placenta, in communication between the placenta and maternal systems, and their expression can be altered through environmental and nutritional cues. To investigate the associations between placental selenium concentration and microRNA expression in the placenta, our observational study included 393 mother-child pairs from the New Hampshire Birth Cohort Study (NHBCS) and the Rhode Island Child Health Study (RICHS). Placental selenium concentrations were quantified using inductively coupled plasma mass spectrometry, and microRNA transcripts were measured using RNA-seq. We fit negative binomial additive models for assessing the association between selenium and microRNAs. We used the microRNA Data Integration Portal (mirDIP) to predict the target mRNAs of the differentially expressed microRNAs and verified the relationships between miRNA and mRNA targets in a subset of samples using existing whole transcriptome data (N = 199). We identified a non-monotonic association between selenium concentration and the expression of miR-216a-5p/miR-217-5p cluster (effective degrees of freedom, EDF = 2.44 and 2.08; FDR = 3.08 × 10-5) in placenta. Thirty putative target mRNAs of miR-216a-5p and/or miR-217-5p were identified computationally and empirically and were enriched in selenium metabolic pathways (driven by selenoprotein coding genes, TXNRD2 and SELENON). Our findings suggest that selenium influences placental microRNA expression. Further, miR-216a-5p and its putative target mRNAs could be the potential mechanistic targets of the health effect of selenium.
Collapse
Affiliation(s)
- Fu-Ying Tian
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Elizabeth M. Kennedy
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Karen Hermetz
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Tracy Punshon
- Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Brian P. Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - Ke Hao
- Department of Genetics and Genome Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
- Children’s Environmental Health and Disease Prevention Research Center at Dartmouth, Dartmouth College, Hanover, New Hampshire, USA
| | - Devin C. Koestler
- The University Kansas Cancer Center, The University of Kansas Medical Center, Kansas City, Kansas, USA
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| |
Collapse
|
9
|
Yi W, Zhao F, Pan R, Zhang Y, Xu Z, Song J, Sun Q, Du P, Fang J, Cheng J, Liu Y, Chen C, Lu Y, Li T, Su H, Shi X. Associations of Fine Particulate Matter Constituents with Metabolic Syndrome and the Mediating Role of Apolipoprotein B: A Multicenter Study in Middle-Aged and Elderly Chinese Adults. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10161-10171. [PMID: 35802126 DOI: 10.1021/acs.est.1c08448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Fine particulate matter (PM2.5) was reported to be associated with metabolic syndrome (MetS), but how PM2.5 constituents affect MetS and the underlying mediators remains unclear. We aimed to investigate the associations of long-term exposure to 24 kinds of PM2.5 constituents with MetS (defined by five indicators) in middle-aged and elderly adults and to further explore the potential mediating role of apolipoprotein B (ApoB). A multicenter study was conducted by recruiting subjects (n = 2045) in the Beijing-Tianjin-Hebei region from the cohort of Sub-Clinical Outcomes of Polluted Air in China (SCOPA-China Cohort). Relationships among PM2.5 constituents, serum ApoB levels, and MetS were estimated by multiple logistic/linear regression models. Mediation analysis quantified the role of ApoB in "PM2.5 constituents-MetS" associations. Results indicated PM2.5 was significantly related to elevated MetS prevalence. The MetS odds increased after exposure to sulfate (SO42-), calcium ion (Ca2+), magnesium ion (Mg2+), Si, Zn, Ca, Mn, Ba, Cu, As, Cr, Ni, or Se (odds ratios ranged from 1.103 to 3.025 per interquartile range increase in each constituent). PM2.5 and some constituents (SO42-, Ca2+, Mg2+, Ca, and As) were positively related to serum ApoB levels. ApoB mediated 22.10% of the association between PM2.5 and MetS. Besides, ApoB mediated 24.59%, 50.17%, 12.70%, and 9.63% of the associations of SO42-, Ca2+, Ca, and As with MetS, respectively. Our findings suggest that ApoB partially mediates relationships between PM2.5 constituents and MetS risk in China.
Collapse
Affiliation(s)
- Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Herston, Brisbane, 4006 Queensland, Australia
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, No. 81 Meishan Road, Shushan District, Hefei, Anhui 230031, China
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, No. 7 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
| |
Collapse
|
10
|
Wang X, Karvonen-Gutierrez CA, Herman WH, Mukherjee B, Park SK. Metals and risk of incident metabolic syndrome in a prospective cohort of midlife women in the United States. ENVIRONMENTAL RESEARCH 2022; 210:112976. [PMID: 35202625 PMCID: PMC9869389 DOI: 10.1016/j.envres.2022.112976] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/13/2022] [Accepted: 02/16/2022] [Indexed: 05/25/2023]
Abstract
Exposure to metals may contribute to the development of metabolic syndrome (MetS); however, evidence from midlife women who are at greater risk of cardiometabolic disease is limited. We assessed the associations of 15 urinary metal concentrations with incident MetS in a prospective cohort of midlife women in the United States. The study population included 947 White, Black, Chinese and Japanese women, aged 45-56 years, free of MetS at baseline (1999-2000), who participated in the Study of Women's Health Across the Nation Multi-Pollutant Study. Fifteen metals were detected in almost all participants urine samples using inductively coupled plasma mass spectrometry at the baseline. Incident MetS was identified annually through 2017 as having at least three of the following five components: high blood pressure, impaired fasting glucose, abdominal obesity, high triglycerides, and poor high-density lipoprotein cholesterol. We used the Cox proportional hazards models to investigate the associations between individual metals and MetS incidence. The adjusted hazard ratios (HR) (95% CI) for MetS in associations with each doubling of urinary metal concentration were 1.14 (1.08, 1.23) for arsenic, 1.14 (1.01, 1.29) for cobalt, and 1.20 (1.06, 1.37) for zinc. We further evaluated the associations between metal mixtures and MetS using the elastic net penalized Cox model and summarized the results into the environmental risk score (ERS). Arsenic, barium, cobalt, copper, nickel, antimony, thallium, and zinc had positive weights, and cadmium, cesium, mercury, molybdenum, lead, and tin had negative weights in the construction of the ERS. The adjusted HR of MetS comparing 75th vs. 25th percentiles of the ERS was 1.45 (1.13, 1.87). These findings support the view that arsenic, cobalt, zinc, as well as metal mixtures, might influence the risks of incident MetS in midlife women.
Collapse
Affiliation(s)
- Xin Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - William H Herman
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sung Kyun Park
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|
11
|
Cui Z, Chen H, Lu W, Wang P, Zhou Z, Zhang N, Wang Z, Lin T, Song Y, Liu L, Huang X, Chen P, Tang G, Gao J, Duan Y, Wang B, Zhang H, Xu X, Yang Y, Qin X, Meng H. The Association Between Plasma Copper Concentration and Prevalence of Diabetes in Chinese Adults With Hypertension. Front Public Health 2022; 10:888219. [PMID: 35747779 PMCID: PMC9210921 DOI: 10.3389/fpubh.2022.888219] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 05/05/2022] [Indexed: 11/20/2022] Open
Abstract
Objective The relationship between plasma copper concentration and prevalence of diabetes in adults with hypertension is unclear. We aimed to determine the association between plasma copper concentration and prevalence of diabetes in Chinese adults with hypertension. Methods A total of 2,579 participants (697 cases and 1,882 controls) was included in this cross-sectional study. Plasma copper concentrations were determined by inductively coupled plasma mass spectrometry. Multivariable logistic regression model was used to determine the association between plasma copper concentration and prevalence of diabetes. Results According to the logistic regression analyses, the adjusted OR for the prevalence of diabetes in participants with plasma copper concentration ≥109.4 μg/dL was 1.26 (1.00, 1.58) compared with those with plasma copper concentration <109.4 μg/dL (P = 0.048). The association was no longer significant following further adjusting for serum high-density lipoprotein cholesterol (HDL-C) concentration as a potential confounder. Stratified analyses demonstrated that serum HDL-C concentration significantly modified the association between plasma copper concentration and prevalence of diabetes (P-interaction = 0.043). In the strata of serum HDL-C concentration ≥1.2 mmol/L, a 56% increased prevalence of diabetes was observed in participants with plasma copper concentration ≥109.4 μg/dL compared with those with plasma copper concentration <109.4 μg/dL (P = 0.008). No significant relationship between plasma copper concentration and prevalence of diabetes was found in other strata. Conclusion Our findings suggested that high plasma copper concentration (≥109.4 μg/dL) was associated with increased prevalence of diabetes in Chinese hypertensive adults with serum HDL-C concentration ≥1.2 mmol/L.
Collapse
Affiliation(s)
- Zhixin Cui
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Hong Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Wenhai Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Department of Disease Control and Prevention, Pingdi Center for Public Health Service of Longgang District Shenzhen Municipality, Shenzhen, China
| | - Ping Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Ziyi Zhou
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Nan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Zhuo Wang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Tengfei Lin
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yun Song
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
| | - Lishun Liu
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Xiao Huang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ping Chen
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Genfu Tang
- School of Heath Administration, Anhui Medical University, Hefei, China
| | - Juan Gao
- Department of Neurology, Baoding First Central Hospital, Baoding, China
| | - Yong Duan
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Binyan Wang
- Department of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hao Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Xiping Xu
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, China
- Guangdong Provincial Engineering Laboratory for Nutrition Translation, Guangzhou, China
| | - Xianhui Qin
- Institute of Biomedicine, Anhui Medical University, Hefei, China
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Huicui Meng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, China
- Guangdong Provincial Engineering Laboratory for Nutrition Translation, Guangzhou, China
| |
Collapse
|
12
|
Yang C, Kang B, Cao Z, Zhang J, Zhao F, Wang D, Su P, Chen J. Early-Life Pb Exposure Might Exert Synapse-Toxic Effects Via Inhibiting Synapse-Associated Membrane Protein 2 (VAMP2) Mediated by Upregulation of miR-34b. J Alzheimers Dis 2022; 87:619-633. [DOI: 10.3233/jad-215638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Early-life Pb exposure can cause behavioral and cognitive problems and induce symptoms of hyperactivity, impulsivity, and inattention in children. Studies showed that blood lead levels were highly correlated with neuropsychiatric disorders, and effects of neurotoxicity might persist and affect the incidence of neurodegenerative diseases, for example Alzheimer’s disease (AD). Objective: To explore possible mechanisms of developmental Pb-induced neuropsychiatric dysfunctions. Methods: Children were divided into low blood lead level (BLL) group (0–50.00μg/L) and high BLL group (> 50.00μg/L) and blood samples were collected. miRNA array was used to testify miRNA expression landscape between two groups. Correlation analysis and real-time PCR were applied to find miRNAs that altered in Pb and neuropsychiatric diseases. Animal models and cell experiments were used to confirm the effect of miRNAs in response to Pb, and siRNA and luciferase experiments were conducted to examine their effect on neural functions. Results: miRNA array data and correlation analysis showed that miR-34b was the most relevant miRNA among Pb neurotoxicity and neuropsychiatric disorders, and synapse-associated membrane protein 2 (VAMP2) was the target gene regulating synapse function. In vivo and in vitro studies showed Pb exposure injured rats’ cognitive abilities and induced upregulation of miR-34b and downregulation of VAMP2, resulting in decreases of hippocampal synaptic vesicles. Blockage of miR-34b mitigated Pb’s effects on VAMP2 in vitro. Conclusion: Early-life Pb exposure might exert synapse-toxic effects via inhibiting VAMP2 mediated by upregulation of miR-34b and shed a light on the underlying relationship between Pb neurotoxicity and developmental neuropsychiatric disorders.
Collapse
Affiliation(s)
- Changhao Yang
- Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China
| | - Beipei Kang
- Department of Clinical Laboratory, Xijing Hospital, Air Force Military Medical University, Xi’an, China
| | - Zipeng Cao
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Jianbin Zhang
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Fang Zhao
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Diya Wang
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Peng Su
- Department of Occupational & Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi’an, China
| | - Jingyuan Chen
- Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China
| |
Collapse
|
13
|
Ghaedrahmat Z, Cheraghian B, Jaafarzadeh N, Takdastan A, Shahbazian HB, Ahmadi M. Association between heavy metals and metabolic syndrome in drinking water and surface soil: case-control study in Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:10434-10442. [PMID: 34523087 DOI: 10.1007/s11356-021-16478-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/06/2021] [Indexed: 06/13/2023]
Abstract
Although obesity is a major risk factor for metabolic syndrome (MetS), not all obese people develop MetS that is directly related to obesity. This suggests that the risk of MetS is influenced by other genetic or environmental agents such as heavy metals. The aim of this study was to investigate the relationship between heavy metals in drinking water and surface soil, and its relationship with the incidence of MetS. To determine the sampling points of drinking water and surface soil, from the location of 150 people selected for inclusion in the study, 16 points were selected randomly for heavy metal concentration analysis. Results were indicated that mean concentrations of V, Mn, Ni, As, Cd, and Sr in drinking water of MetS group were higher than control group. The concentration of heavy metals in drinking water, except for Mn and Sr, did not show a significant difference between case and control groups. The results of this study showed that concentration of heavy metals in drinking water and surface soil was positively associated with the incidence of MetS.
Collapse
Affiliation(s)
- Zeinab Ghaedrahmat
- Department of Environmental Health Engineering, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran
| | - Bahman Cheraghian
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran
- Department of Biostatistics and Epidemiology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Neamat Jaafarzadeh
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Afshin Takdastan
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hajieh Bibi Shahbazian
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran
- Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mehdi Ahmadi
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical science, Ahvaz, Iran.
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| |
Collapse
|
14
|
Huang S, Zhong D, Lv Z, Cheng J, Zou X, Wang T, Wen Y, Wang C, Yu S, Huang H, Li L, Nie Z. Associations of multiple plasma metals with the risk of metabolic syndrome: A cross-sectional study in the mid-aged and older population of China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 231:113183. [PMID: 35032729 DOI: 10.1016/j.ecoenv.2022.113183] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/06/2022] [Accepted: 01/09/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Metal exposures have been reported to be related to the progress of metabolic syndrome (MetS), however, the currents results were still controversial, and the evidence about the effect of multi-metal exposure on MetS were limited. In this study, we intended to evaluate the relationships between metal mixture exposure and the prevalence of MetS in a mid-aged and older population of China. METHODS The plasma levels of 13 metals (aluminum, magnesium, calcium, iron, manganese, cobalt, copper, arsenic, zinc, selenium, cadmium, molybdenum and thallium) were detected by inductively coupled plasma mass spectrometry (ICP-MS) in 1277 adults recruited from the Eighth Affiliated Hospital of Sun Yat-Sen University (Shenzhen, China). Logistic regression, the adaptive least absolute shrinkage and selectionator operator (LASSO) penalized regression analysis and restricted cubic spline (RCS) analysis were used to explore the associations and dose-response relationships of plasma metals with MetS. To evaluate the cumulative effect of metals, the Bayesian Kernel Machine Regression (BKMR) model was applied. RESULTS The concentrations of magnesium and molybdenum were lower in the MetS group (p < 0.05). In the single-metal model, the adjusted ORs (95%CI) in the highest quartiles were 0.44 (0.35, 0.76) for magnesium and 0.30 (0.17, 0.51) for molybdenum compared with the lowest quartile. The negative associations and dose-dependent relationships of magnesium and molybdenum with MetS were further validated by the stepwise model, adaptive LASSO penalized regression and RCS analysis. The BKMR models showed that the metal mixture were associated with decreased MetS when the chemical mixtures were≥ 25th percentile compared to their medians, and Mg, Mo were the major contributors to the combined effect. Moreover, concentrations of magnesium were significantly related to blood glucose, and molybdenum was related with BMI, blood glucose and blood pressure. CONCLUSIONS Elevated levels of plasma magnesium and molybdenum were associated with decreased prevalence of MetS. Further investigations in larger perspective cohorts are needed to confirm our findings.
Collapse
Affiliation(s)
- Suli Huang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Danrong Zhong
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China; Department of Cardiovascular Medicine, Research Center of Translational Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xuan Zou
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Tian Wang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China
| | - Ying Wen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Chao Wang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Shuyuan Yu
- Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Hui Huang
- Department of Cardiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033, China
| | - Lu Li
- Department of Cardiovascular Medicine, Research Center of Translational Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, Shantou 515000, China
| | - Zhiqiang Nie
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| |
Collapse
|
15
|
Solís-Toro D, Mosquera Escudero M, García-Perdomo HA. Association between circulating microRNAs and the metabolic syndrome in adult populations: A systematic review. Diabetes Metab Syndr 2022; 16:102376. [PMID: 34954485 DOI: 10.1016/j.dsx.2021.102376] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 10/16/2021] [Accepted: 12/18/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Circulating microRNAs (miRNAs) are one of the most abundant classes of gene regulatory molecules, and had been associated to the metabolic syndrome, higher BMI, dyslipidemia and diabetes mellitus. In this sense, miRNAs could help to understand the mechanism behind the development of metabolic syndrome. OBJECTIVE To determine the relationship between circulating microRNAs and the metabolic syndrome in adult population. METHODS We performed a systematic review according to the recommendations of the Cochrane Collaboration and following the PRISMA Statement. The results were grouped for miRNAs levels in MetS and metabolic variables included in MetS and their statistic association with miRNAs levels. RESULTS We finally included sixteen studies with a total of 7195 individuals. We found 47 miRNAs reported to be related to metabolic syndrome (p < 0,05) and 98 associated with the metabolic alterations included in its diagnostic (p < 0,05). Forty-nine miRNAs levels were described as relate to insulin resistance, 29 with high triglycerides, 35 with hypertension, 28 with obesity, and 16 miRNAs with cholesterol HDL(p < 0,05). Changes in levels of miR-505-5p, miR-148a-3p, miR-19b-3p, miR-320b, miR-342-3p, miR-197-3p, miR-192-5p, miR-122-5p, miR-103, miR-130a, miR-155-5p and miR-375, were reported as significant in more than one study. The results only included a descriptive synthesis, clinical heterogeneity did not allow a meta-analysis. CONCLUSION The findings on the current systematic review suggests a possible relationship between miRNAs with metabolic syndrome and metabolic traits. This association could help to understand the mechanism behind the develop of the metabolic syndrome. However, more studies are necessary for further validation.
Collapse
Affiliation(s)
- Daniel Solís-Toro
- Nutrition Group, School of Basic Sciences, Universidad del Valle, Cali, Colombia.
| | | | - Herney Andrés García-Perdomo
- Nutrition Group, School of Basic Sciences, Universidad del Valle, Cali, Colombia; Department of Surgery, Department of Urology, School of Medicine, Universidad del Valle, Cali, Colombia.
| |
Collapse
|
16
|
Zhou L, Liang X, Xie M, Yin J, Huang Y, Li X, Shan Z, Chen L, Zhang Y, Luo C, Liu L. A Functional Variant in SEPP1 Interacts With Plasma Selenium Concentrations on 3-Year Lipid Changes: A Prospective Cohort Study. Front Nutr 2021; 8:789577. [PMID: 34950691 PMCID: PMC8688705 DOI: 10.3389/fnut.2021.789577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/08/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Excess selenium has been related with adverse lipid levels in previous epidemiological studies. Meanwhile, a functional variant in SEPP1 (encodes selenoprotein P), namely rs7579, has been suggested to modulate lipid metabolism. However, the interactions between selenium status and rs7579 polymorphism on lipid changes remain unclear. Objective: To examine whether the associations between plasma selenium and 3-year lipid changes is modified by rs7579 polymorphism. Methods: A prospective cohort study was conducted among 1,621 individuals to examine the associations between baseline plasma selenium and 3-year lipid changes, as well as the interactions between plasma selenium and rs7579 polymorphism on lipid changes. Results: The median (interquartile range) concentration of plasma selenium was 91.68 (81.55–104.92) μg/L. Higher plasma selenium was associated with adverse 3-year lipid changes. Comparing the highest to the lowest quartiles of plasma selenium concentrations, 3-year lipid changes were elevated by 8.25% (95% CI: 1.54–14.96%) for triglycerides (P = 0.016), 5.88% (3.13–8.63%) for total cholesterol (P < 0.001), 7.37% (3.07–11.67%) for low-density lipoprotein cholesterol (P = 0.0008), 6.44% (2.66–10.21%) for non-high-density lipoprotein cholesterol (P = 0.0009), 4.99% (0.62–9.36%) for total cholesterol/high-density lipoprotein cholesterol ratio (P = 0.025), and 7.00% (1.55–12.46%) for low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (P = 0.012). In analyses stratified by rs7579 genotypes, positive associations between plasma selenium concentrations and 3-year changes in triglycerides, TC, LDL-C, non-HDL-C, TC/HDL-C ratio, and LDL-C/HDL-C ratio were observed among CC genotype carriers, but negative associations between plasma selenium and TC/HDL-C ratio, and LDL-C/HDL-C ratio were observed among TT genotype carriers. Conclusions: Our findings suggested that plasma selenium was associated with 3-year lipid changes differentially by rs7579 genotypes, and higher plasma selenium was associated with adverse lipid changes among rs7579 CC genotype carriers, but not among T allele carriers.
Collapse
Affiliation(s)
- Li Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Academy of Nutrition and Health, Wuhan University of Science and Technology, Wuhan, China
| | - Xiaoling Liang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Manling Xie
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Jiawei Yin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoqin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhilei Shan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zhang
- The Hubei Provincial Key Laboratory of Yeast Function, Yichang, China
| | - Cheng Luo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
17
|
Howe CG, Foley HB, Farzan SF, Chavez TA, Johnson M, Meeker JD, Bastain TM, Marsit CJ, Breton CV. Urinary metals and maternal circulating extracellular vesicle microRNA in the MADRES pregnancy cohort. Epigenetics 2021; 17:1128-1142. [PMID: 34696694 DOI: 10.1080/15592294.2021.1994189] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Exposure to metals increases risk for pregnancy complications. Extracellular vesicle (EV) miRNA contribute to maternal-foetal communication and are dysregulated in pregnancy complications. However, metal impacts on maternal circulating EV miRNA during pregnancy are unknown. Our objective was to investigate the impact of multiple metal exposures on EV miRNA in maternal circulation during pregnancy in the MADRES Study. Associations between urinary concentrations of nine metals and 106 EV miRNA in maternal plasma during pregnancy were investigated using robust linear regression (N = 231). Primary analyses focused on metal-miRNA associations in early pregnancy (median: 12.3 weeks gestation). In secondary analyses, we investigated associations with late pregnancy miRNA counts (median: 31.8 weeks gestation) in a subset of participants (N = 184) with paired measures. MiRNA associated with three or more metals (PFDR<0.05) were further investigated using Bayesian Kernel Machine Regression (BKMR), an environmental mixture method. Thirty-five miRNA were associated (PFDR<0.05) with at least one metal in early pregnancy. One association (an inverse association between cobalt and miR-150-5p) remained statistically significant when evaluating late pregnancy miRNA counts. Eight miRNA (miR-302b-3p, miR-199a-5p, miR-188-5p, miR-138-5p, miR-212-3p, miR-608, miR-1272, miR-19b-3p) were associated with three metals (barium, mercury, and thallium) in early pregnancy, and their predicted target genes were enriched in pathways important for placental development. Results were consistent when using BKMR. Early pregnancy exposure to barium, mercury, and thallium may have short-term impacts on a common set of EV miRNA which target pathways important for placental development.
Collapse
Affiliation(s)
- Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, 1 Medical Center Dr, Lebanon, NH, USA
| | - Helen B Foley
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas A Chavez
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Theresa M Bastain
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Emory Rollins School of Public Health, Atlanta, GA, USA.,Department of Epidemiology, Emory Rollins School of Public Health, Atlanta, Ga, USA
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
18
|
Chen Z, Liang Y, Lu Q, Nazar M, Mao Y, Aboragah A, Yang Z, Loor JJ. Cadmium promotes apoptosis and inflammation via the circ08409/miR-133a/TGFB2 axis in bovine mammary epithelial cells and mouse mammary gland. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 222:112477. [PMID: 34237642 DOI: 10.1016/j.ecoenv.2021.112477] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/23/2021] [Accepted: 06/27/2021] [Indexed: 06/13/2023]
Abstract
Cadmium is a common environmental heavy metal pollutant that can accumulate over long periods of time and cause disease. Thus, analysis of the molecular mechanisms affected by cadmium in the body could be of great significance for the prevention and treatment of cadmium-related diseases. In this study, flow cytometry, immunofluorescence, transmission electron microscopy, H&E (Hematoxylin Eosin) staining and TUNEL (TdT-mediated dUTP Nick-End Labeling) assays were used to verify that cadmium induced apoptosis and immune responses in bovine mammary epithelial cells (BMECs) and in mouse mammary gland. Isolated BMECs cultured with or without cadmium were collected to screen miRNA (microRNA) using high-throughput sequencing. There were 42 differentially-expressed miRNAs among which 27 were upregulated and 15 downregulated including bta-miR-133a, bta-miR-23b-5p, bta-miR-29e, bta-miR-365-5p, bta-miR-615, bta-miR-7, bta-miR-11975, bta-miR-127, and bta-miR-411a. Among those, miR-133a (which can specifically target TGFB2 (Recombinant Transforming Growth Factor Beta 2) was the most significantly downregulated with a fold-change of 5.27 in BMECs cultured with cadmium. Application of the double luciferase reporter system, western blotting, and qRT-PCR (Quantitative Real-time PCR) revealed that circ08409 can directly bind to miR-133a. Experiments demonstrated that circRNA-08409 could adsorb bta-miR-133a. Both circ08409 and TGFB2 significantly increased apoptosis and altered expression level of a series of inflammatory factors in BMECs. In contrast, miR-133a decreased significantly apoptosis and inflammation in the cells. Compared with cultures receiving only cadmium, the miR-133a+cadmium cultures exhibited significant reductions in the occurrence of late apoptosis. Overall, results indicated that circ08409 could relieve the inhibitory effect of miR-133a on TGFB2 expression by combining with miR-133a and subsequently modulating cell proliferation, apoptosis and inflammation. Overall, the data suggested that the circ08409/miR-133a/TGFB2 axis might play a role in mediating the effect of cadmium on BMECs. As such, data provide novel insights into controlling hazards that cadmium could induce in the mammary gland.
Collapse
Affiliation(s)
- Zhi Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China
| | - Yan Liang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China
| | - QinYue Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China
| | - Mudasir Nazar
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China
| | - Yongjiang Mao
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China
| | - Ahmad Aboragah
- Mammalian Nutrition Physiology Genomics, Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana, IL 61801, USA
| | - Zhangping Yang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, PR China; Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou 225009, PR China.
| | - Juan J Loor
- Mammalian Nutrition Physiology Genomics, Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana, IL 61801, USA
| |
Collapse
|
19
|
The Relationship between Metabolic Syndrome and Plasma Metals Modified by EGFR and TNF-α Gene Polymorphisms. TOXICS 2021; 9:toxics9090225. [PMID: 34564376 PMCID: PMC8473312 DOI: 10.3390/toxics9090225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/12/2021] [Accepted: 09/13/2021] [Indexed: 11/17/2022]
Abstract
With the escalating global prevalence of metabolic syndrome (MetS), it is crucial to detect the high-risk population early and to prevent chronic diseases. Exposure to various metals has been indicated to promote MetS, but the findings were controversial, and the effect of genetic modification was not considered. Epidermal growth factor receptor (EGFR) was proposed to be involved in the pathway of metabolic disorders, and tumor necrotic factor-α (TNF-α) was regarded as an early inflammatory biomarker for MetS. This research aimed to analyze the impact of EGFR and TNF-α gene polymorphisms on the prevalence of MetS under environmental or occupational exposure to metals. We gathered data from 376 metal industrial workers and 639 non-metal workers, including physical parameters, biochemical data, and plasma concentrations of six metals. According to the genomic database of Taiwan Biobank, 23 single nucleotide polymorphisms (SNPs) on EGFR gene and 6 SNPs on TNF-α gene were incorporated in our research. We applied multivariable logistic regression to analyze the probability of MetS with various SNPs and metals. Our study revealed some susceptible and protective EGFR and TNF-α genotypes under excessive exposure to cobalt, zinc, selenium, and lead. Thus, we remind the high-risk population of taking measures to prevent MetS.
Collapse
|
20
|
Yu S, Feng WR, Liang ZM, Zeng XY, Bloom MS, Hu GC, Zhou Y, Ou YQ, Chu C, Li QQ, Yu Y, Zeng XW, Dong GH. Perfluorooctane sulfonate alternatives and metabolic syndrome in adults: New evidence from the Isomers of C8 Health Project in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 283:117078. [PMID: 33839621 DOI: 10.1016/j.envpol.2021.117078] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/28/2021] [Accepted: 03/31/2021] [Indexed: 06/12/2023]
Abstract
Chlorinated polyfluoroalkyl ether sulfonates (Cl-PFESAs), are ubiquitous alternatives to perfluorooctane sulfonate (PFOS), a widely used poly- and perfluoroalkyl substance (PFAS). Despite in vivo and in vitro evidence of metabolic toxicity, no study has explored associations of Cl-PFESAs concentrations with metabolic syndrome (MetS) in a human population. To help address this data gap, we quantified 32 PFAS, including 2 PFOS alternative Cl-PFESAs (6:2 and 8:2 Cl-PFESAs) in serum from 1228 adults participating in the cross-sectional Isomers of C8 Health Project in China study. The odds ratios (ORs) and 95% confidence intervals (CIs) of MetS and its various components were estimated using individual PFAS as a continuous or categorical predictor in multivariate regression models. The association between the overall mixture of PFAS and MetS was examined using probit Bayesian Kernel Machine Regression (BKMR-P). Greater serum PFAS concentrations were associated with higher odds of MetS and demonstrated a statistically significant dose-response trend (P for trend < 0.001). For example, each ln-unit (ng/mL) increase in serum 6:2 Cl-PFESA was associated with a higher prevalence of MetS (OR = 1.52, 95% CI: 1.25, 1.85). MetS was also 2.26 (95% CI: 1.59, 3.23) times more common in the highest quartile of serum 6:2 Cl-PFESA concentration than the lowest, and particularly high among women (OR = 6.41, 95% CI: 3.65, 11.24). The BKMR-P analysis showed a positive association between the overall mixture of measured PFAS and the odds of MetS, but was only limited to women. While our results suggest that exposure to Cl-PFESAs was associated with MetS, additional longitudinal studies are needed to more definitively address the potential health concerns of these PFOS alternatives.
Collapse
Affiliation(s)
- Shu Yu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Wen-Ru Feng
- Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Zi-Mian Liang
- Department of Prevention and Control of Infectious Diseases, Foshan Center for Disease Control and Prevention, Foshan, 528000, China
| | - Xiao-Yun Zeng
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Michael S Bloom
- Department of Global and Community Health, George Mason University, Fairfax, VA, 22030, USA
| | - Guo-Cheng Hu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China
| | - Yang Zhou
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China
| | - Yan-Qiu Ou
- Department of Epidemiology, Guangdong Cardiovascular Institute, WHO Collaborating Center for Research and Training in Cardiovascular Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chu Chu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Qing-Qing Li
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yunjiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| |
Collapse
|
21
|
Liu G, Lei Y, Luo S, Huang Z, Chen C, Wang K, Yang P, Huang X. MicroRNA expression profile and identification of novel microRNA biomarkers for metabolic syndrome. Bioengineered 2021; 12:3864-3872. [PMID: 34269146 PMCID: PMC8806888 DOI: 10.1080/21655979.2021.1952817] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The lack of efficient biomarkers is the main reason for the inaccurate early diagnosis and poor treatment outcomes of patients with metabolic syndrome (MetS). The current study aimed to identify several novel microRNA (miRNA) biomarkers for metabolic syndrome via high-throughput sequencing and comprehensive bioinformatics analysis. Through high-throughput sequencing and differentially expressed miRNA (DEM) analysis, we first identified two upregulated and 36 downregulated DEMs in the plasma samples of patients with MetS compared to the healthy volunteers. Additionally, we also predicted 379 potential target genes and subsequently carried out enrichment analysis and protein–protein interaction network analysis to investigate the signaling pathways and functions of the identified DEMs as well as the interactions between their target genes. Furthermore, we selected two upregulated and top 10 downregulated DEMs with the highest |log2FC| values as the key microRNAs, which may serve as potential biomarkers for MetS. RT-qPCR was performed to validated these result. Finally, hsa-miR-526b-5p, hsa-miR-6516-5p was identified as the novel biomarkers for MetS.
Collapse
Affiliation(s)
- Guanzhi Liu
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yutian Lei
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Sen Luo
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Zhuo Huang
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Chen Chen
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kunzheng Wang
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Pei Yang
- Bone and Joint Surgery Center, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xin Huang
- Department of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
22
|
Ghaedrahmat Z, Cheraghian B, Jaafarzadeh N, Takdastan A, Shahbazian HB, Ahmadi M. Relationship between urinary heavy metals with metabolic syndrome and its components in population from Hoveyzeh cohort study: A case-control study in Iran. J Trace Elem Med Biol 2021; 66:126757. [PMID: 33839459 DOI: 10.1016/j.jtemb.2021.126757] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 03/28/2021] [Accepted: 04/01/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND The incidence of Metabolic Syndrome (MetS) has been growing rapidly and is rising to pandemic proportions. Although obesity is a primary risk factor for the enhancement of these conditions, not all obese individuals develop metabolic syndrome, indicating that the risk for developing MetS is impacted by other genetic and/or environmental factors such as heavy metals. Therefore, the present study focused on the association between exposures to heavy metal and MetS. METHODS Urine samples were collected from 150 participants (75 patients with MetS and 75 healthy participants), which were used from Hoveyzeh Cohort center. To make a quantitative comparison between the two groups, Man-Whitney nonparametric test was used. The logistic regression was performed adjusted for age, demographic, lifestyle factor, physical activity, occupational history and urine creatinine. RESULTS The results of logistic regression showed that OR and 95 % CI for Cd, Pb, Sr, As and Fe concentration were still significant after adjusting for urine creatinine. Moreover, there was a relationship between Cd and Pb levels and waist circumstance (WC). After adjusting for urine creatinine, age, sex, occupation, smoking status, education and place of residence, only Pb concentration was showed a significant association with systolic blood pressure (SBP). The subjects with high urine level of Cd had the high odds (OR: 6.273; 95 % Cl: 1.783-22.070) of MetS and low high-density lipoprotein (HDL-C). The relationship between As concentration and high fasting blood sugars confirmed the previous evidence suggesting that high As level can cause diabetes. CONCLUSION These results indicated that outbreak of MetS and its component are associated with heavy metal concentrations in urine.
Collapse
Affiliation(s)
- Zeinab Ghaedrahmat
- Student Research Committee, Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahman Cheraghian
- Department of Biostatistics and Epidemiology, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Neamat Jaafarzadeh
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran
| | - Afshin Takdastan
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran
| | | | - Mehdi Ahmadi
- Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
| |
Collapse
|
23
|
Feng X, Li L, Huang L, Zhang H, Mo Z, Yang X. Associations Between Serum Multiple Metals Exposures and Metabolic Syndrome: a Longitudinal Cohort Study. Biol Trace Elem Res 2021; 199:2444-2455. [PMID: 33009983 DOI: 10.1007/s12011-020-02371-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/01/2020] [Indexed: 01/08/2023]
Abstract
Although many studies have confirmed metabolic syndrome (MetS) is correlated with metal exposures, few studies have elucidated the associations of multiple metals with MetS risk. We aim to explore the relationship between serum 22 metals and MetS. We determined serum 22 metals using ICP-MS and used LASSO regression to select metals independently related with MetS to construct multiple-metals model. We further explored the dose-response relationship between positive metals and MetS by the restricted cubic spline regression. After screening by LASSO regression, serum 11 metals were selected to construct multiple-metals model in cross-sectional analysis, while 5 metals in longitudinal analysis. In the 11-metal model, only tin and zinc were associated with MetS in cross-sectional analysis (ORtin = 2.22, 95% CI:1.43, 3.45; ORzinc = 2.17, 95% CI: 1.42, 3.32; both Ptrend < 0.05). Besides, the same results were found in the 5-metal model in longitudinal analysis (HRtin = 1.66, 95% CI: 0.87, 3.17; HRzinc = 1.83, 95% CI: 1.07, 3.14; both Ptrend < 0.05). Moreover, there were positive linear relationships between serum tin and zinc concentrations and the increasing risk of MetS (both Poverall < 0.05, Pnon-linearity > 0.05). Furthermore, the interaction between high tin and high zinc was also associated with increasing MetS risk (Pinteraction < 0.05). We found that serum tin and zinc were independently and interactively associated with MetS in the southern Chinese men. Our results suggested that high tin and zinc may be the risk factors of MetS.
Collapse
Affiliation(s)
- Xiuming Feng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Longman Li
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China
| | - Lulu Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.
- Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China.
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China.
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
| |
Collapse
|
24
|
Di Ciaula A. Bioaccumulation of Toxic Metals in Children Exposed to Urban Pollution and to Cement Plant Emissions. EXPOSURE AND HEALTH 2021; 13:681-695. [PMID: 34189342 PMCID: PMC8229267 DOI: 10.1007/s12403-021-00412-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 02/07/2023]
Abstract
Cement plants located in urban areas can increase health risk. Although children are particularly vulnerable, biomonitoring studies are lacking. Toenail concentration of 24 metals was measured in 366 children (6-10 years), who live and attend school in a city hosting a cement plant. Living addresses and schools were geocoded and attributed to exposed or control areas, according to modeled ground concentrations of PM10 generated by the cement plant. Air levels of PM10 and NO2 were monitored. PM10 levels were higher in the exposed, than in the control area. The highest mean PM10 concentration was recorded close to the cement plant. Conversely, the highest NO2 concentration was in the control area, where vehicular traffic and home heating were the prevalent sources of pollutants. Exposed children had higher concentrations of Nickel (Ni), Cadmium (Cd), Mercury (Hg), and Arsenic (As) than controls. These concentrations correlated each other, indicating a common source. Toenail Barium (Ba) concentration was higher in the control- than in the exposed area. The location of the attended school was a predictor of Cd, Hg, Ni, Ba concentrations, after adjusting for confounders. In conclusion, children living and attending school in an urban area exposed to cement plant emissions show a chronic bioaccumulation of toxic metals, and a significant exposure to PM10 pollution. Cement plants located in populous urban areas seem therefore harmful, and primary prevention policies to protect children health are needed.
Collapse
|
25
|
Huang X, Dong YL, Li T, Xiong W, Zhang X, Wang PJ, Huang JQ. Dietary Selenium Regulates microRNAs in Metabolic Disease: Recent Progress. Nutrients 2021; 13:1527. [PMID: 34062793 PMCID: PMC8147315 DOI: 10.3390/nu13051527] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/24/2021] [Accepted: 04/27/2021] [Indexed: 02/01/2023] Open
Abstract
Selenium (Se) is an essential element for the maintenance of a healthy physiological state. However, due to environmental and dietary factors and the narrow safety range of Se, diseases caused by Se deficiency or excess have gained considerable traction in recent years. In particular, links have been identified between low Se status, cognitive decline, immune disorders, and increased mortality, whereas excess Se increases metabolic risk. Considerable evidence has suggested microRNAs (miRNAs) regulate interactions between the environment (including the diet) and genes, and play important roles in several diseases, including cancer. MiRNAs target messenger RNAs to induce changes in proteins including selenoprotein expression, ultimately generating disease. While a plethora of data exists on the epigenetic regulation of other dietary factors, nutrient Se epigenetics and especially miRNA regulated mechanisms remain unclear. Thus, this review mainly focuses on Se metabolism, pathogenic mechanisms, and miRNAs as key regulatory factors in Se-related diseases. Finally, we attempt to clarify the regulatory mechanisms underpinning Se, miRNAs, selenoproteins, and Se-related diseases.
Collapse
Affiliation(s)
- Xin Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100083, China
| | - Yu-Lan Dong
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- College of Veterinary Medicine, China Agricultural University, Beijing 100083, China
| | - Tong Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100083, China
| | - Wei Xiong
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100083, China
| | - Xu Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
| | - Peng-Jie Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100083, China
| | - Jia-Qiang Huang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China; (X.H.); (Y.-L.D.); (T.L.); (W.X.); (X.Z.); (P.-J.W.)
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, Ministry of Education, China Agricultural University, Beijing 100083, China
| |
Collapse
|
26
|
Chang CW, Wang CW, Wu DW, Lee WH, Chen YC, Liu YH, Li CH, Tsai CC, Lin WY, Chen SC, Hung CH, Kuo CH, Su HM. Significant association between blood lead (Pb) level and haemoglobin A1c in non-diabetic population. DIABETES & METABOLISM 2021; 47:101233. [PMID: 33497800 DOI: 10.1016/j.diabet.2021.101233] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 12/27/2020] [Accepted: 01/08/2021] [Indexed: 12/19/2022]
Abstract
Although many heavy metals are necessary for normal biological function, a subset of heavy metals have no role in human physiology, such as lead (Pb) and arsenic (As). Such elements have deleterious effects on physiology and be associated with the incidence of diabetes and related metabolic syndromes. Haemoglobin A1c (HbA1c) is not only a useful diagnostic and prognostic parameter in patients with diabetes, but it is also helpful in prediction of future diabetic risk in non-diabetic patients. However, no studies have evaluated the relationship between heavy metal concentration and HbA1c in non-diabetic patients. Therefore, the present study was designed to address this issue. We performed surveys for general populations living in southern Taiwan from June 2016 to September 2018. All participants received face-to-face interviews, laboratory tests, and measurements of weight and height, waist circumference, heart rate, and systolic and diastolic blood pressures. HbA1c was positively associated with Log blood Pb, after adjustments for age, body mass index, fasting blood glucose, total cholesterol, and triglyceride. Additionally, a Log 1 μg/dL increase in Pb was associated with a small (0.819 mmol/mol, 95% confidence interval = 0.072-1.566) increase in HbA1c (P = 0.032). No association with HbA1c was observed for urine nickel, chromium, manganese, As, copper, and cadmium in the multivariable analysis. In conclusion, after adjusting for important clinical parameters, Log blood Pb was positively associated with HbA1c in our non-diabetic population. This finding implies that high blood Pb might have the potential to predict future diabetic risk in non-diabetic populations. Further prospective studies are necessary to validate this issue.
Collapse
Affiliation(s)
- Chien-Wei Chang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Da-Wei Wu
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wen-Hsien Lee
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ying-Chih Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hsueh Liu
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chiu-Hui Li
- Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Chi Tsai
- Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wen-Yi Lin
- Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Health Management and Occupational Safety Health Centre, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Szu-Chia Chen
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Hsing Hung
- Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ho-Ming Su
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Research Centre for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
| |
Collapse
|
27
|
Xu P, Liu A, Li F, Tinkov AA, Liu L, Zhou JC. Associations between metabolic syndrome and four heavy metals: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 273:116480. [PMID: 33486246 DOI: 10.1016/j.envpol.2021.116480] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 12/19/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
Four most concerned heavy metal pollutants, arsenic, cadmium, lead, and mercury may share common mechanisms to induce metabolic syndrome (MetS). However, recent studies exploring the relationships between MetS and metal exposure presented inconsistent findings. We aimed to clarify the relationship between heavy metal exposure biomarkers and MetS using a meta-analysis and systematic review approach. Literature search was conducted in international and the Chinese national databases up to June 2020. Of selected studies, we extracted the relevant data and evaluated the quality of each study's methodology. We then calculated the pooled effect sizes (ESs), standardized mean differences (SMDs), and their 95% confidence intervals (CIs) using a random-effect meta-analysis approach followed by stratification analyses for control of potential confounders. Involving 55,536 participants, the included 22 articles covered 52 observational studies reporting ESs and/or metal concentrations on specific metal and gender. Our results show that participants with MetS had significantly higher levels of heavy metal exposure [pooled ES = 1.16, 95% CI: 1.09, 1.23; n = 42, heterogeneity I2 = 75.6%; and SMD = 0.22, 95% CI: 0.15, 0.29; n = 32, I2 = 94.2%] than those without MetS. Pooled ESs in the subgroups stratified by arsenic, cadmium, lead, and mercury were 1.04 (95% CI: 0.97, 1.10; n = 8, I2 = 61.0%), 1.10 (0.95, 1.27; 11, 45.0%), 1.21 (1.00, 1.48; 12, 82.9%), and 1.26 (1.06, 1.48; 11, 67.7%), respectively. Pooled ESs in the subgroups stratified by blood, urine, and the other specimen were 1.22 (95% CI: 1.08, 1.38; n = 26, I2 = 75.8%), 1.06 (1.00, 1.13; 14, 58.1%), and 2.41 (1.30, 4.43; 2, 0.0%), respectively. In conclusion, heavy metal exposure was positively associated with MetS. Further studies are warranted to examine the effects of individual metals and their interaction on the relationship between MetS and heavy metals.
Collapse
Affiliation(s)
- Ping Xu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China
| | - Aiping Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China
| | - Fengna Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China
| | - Alexey A Tinkov
- Yaroslavl State University, 150003, Yaroslavl, Russia; IM Sechenov First Moscow State Medical University (Sechenov University), 119146, Moscow, Russia
| | - Longjian Liu
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
| | - Ji-Chang Zhou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, 518100, China; Guangdong Province Engineering Laboratory for Nutrition Translation, Guangzhou, 510080, China.
| |
Collapse
|
28
|
Huang M, Chen J, Yan G, Yang Y, Luo D, Chen X, He M, Yuan H, Huang Z, Lu Y. Plasma titanium level is positively associated with metabolic syndrome: A survey in China's heavy metal polluted regions. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 208:111435. [PMID: 33038727 DOI: 10.1016/j.ecoenv.2020.111435] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/20/2020] [Accepted: 09/28/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Several heavy metals have been reported to be associated with metabolic syndrome(MetS) in general population, while effects of multiple metals exposure on MetS in residents living in heavy metal polluted regions have not been investigated. We aimed to assess the association of 23 metal levels and MetS among population living in China's heavy metal polluted regions. METHODS From August 2016 to July 2017, a total of 2109 eligible participants were consecutively enrolled in our study in Hunan province, China. The levels of plasma and urine metals were measured by inductively coupled plasma mass spectrometer (ICP-MS). MetS was defined by the criteria of the International Diabetes Federation. Multivariable regression models were applied to analysis the potential relationship. RESULTS In the overall population, crude model showed positive relationship of plasma titanium (Ti) with MetS and negative association of urine vanadium, iron, and selenium with MetS. After adjusted for potential confounders, only plasma Ti was positive associated with MetS (adjusted OR for Q4 versus Q1: 1.46; 95% CI: 1.06-1.99), and this positive correlation was explained by abdominal obesity (OR = 1.84, 95% CI: 1.41-2.39) and high triglycerides (OR = 2.23, 95% CI: 1.68-2.96). Further linear regression analysis revealed significant association of plasma Ti levels with waist circumference (β = 0.0056, 95% CI: 0.0004-0.0109, P = 0.036) and triglycerides (β = 0.0012, 95% CI: 0.0006-0.0019, P < 0.001), respectively. CONCLUSION High plasma Ti level was associated with increased risk of MetS via increasing waist circumference and triglycerides in people under high metal exposure.
Collapse
Affiliation(s)
- Miao Huang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Jingyuan Chen
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Guangyu Yan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Yiping Yang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China
| | - Dan Luo
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hong Yuan
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China; National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha 410000, China
| | - Zhijun Huang
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
| | - Yao Lu
- Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, China; National-Local Joint Engineering Laboratory of Drug Clinical Evaluation Technology, Changsha 410000, China.
| |
Collapse
|
29
|
Yang Q, Guo X, Chen Y, Zhang W, Ren J, Wang J, Tang N, Gao A. Blood levels of perfluoroalkyl substances (PFASs), elements and their associations with metabolic syndrome (MetS) in Chinese male adults mediated by metabolic-related risk factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 742:140595. [PMID: 32629270 DOI: 10.1016/j.scitotenv.2020.140595] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 06/14/2020] [Accepted: 06/27/2020] [Indexed: 06/11/2023]
Abstract
Our preliminary studies have suggested PFASs, heavy metals, and trace elements could bring significant risks to MetS. However, the role of epigenetic mechanisms (i.e., miRNAs) and risk factors of metabolic alternation (i.e., thyroid functions, glucose and lipids metabolism) are not fully understood. To test this hypothesis, a further cross-sectional study with 80 male MetS cases and 64 male references was undertaken. Negative association between the serum n-perfluorooctanoic acid (n-PFOA) with miR-140-5p was found [β = -0.772; 95% confidence interval (CI), -0.244 to -0.300; p < 0.01, q < 0.05)] after adjusted with age. Higher levels of leptin and total bile acid were observed in the MetS group. The significantly positive associations between leptin with Cd (β = 1.015, p < 0.01, q < 0.05), Cu (β = 6.796, p < 0.05, q = 0.077) and Se (β = 7.633, p < 0.05, q = 0.060) were found; whereas total bile acid was significantly associated with Se (β = 8.954, p < 0.05, q = 0.140). Significantly positive associations between leptin and systolic/diastolic blood pressure were showed. Moreover, increased total bile acid concentrations were associated with hypertriglyceridemia [odds ratio (OR): 2.24 (95%CI, 1.10-4.58) adjusted by age.
Collapse
Affiliation(s)
- Qiaoyun Yang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, PR China; National Demonstration Center for Experimental Preventive Medicine Education, Tianjin Medical University, Tianjin 300070, PR China
| | - Xiaoli Guo
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yujiao Chen
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Wei Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Jing Ren
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Jingyu Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Naijun Tang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, PR China; National Demonstration Center for Experimental Preventive Medicine Education, Tianjin Medical University, Tianjin 300070, PR China.
| | - Ai Gao
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| |
Collapse
|
30
|
Ma J, Zhou Y, Wang D, Guo Y, Wang B, Xu Y, Chen W. Associations between essential metals exposure and metabolic syndrome (MetS): Exploring the mediating role of systemic inflammation in a general Chinese population. ENVIRONMENT INTERNATIONAL 2020; 140:105802. [PMID: 32474217 DOI: 10.1016/j.envint.2020.105802] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 05/02/2020] [Accepted: 05/12/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Essential metals have been reported to be associated with metabolic diseases. However, the relationships between essential metals exposure and Metabolic Syndrome (MetS) is still uncertain, and the underlying mechanisms of the association remain unclear. OBJECTIVES To investigate the associations of urinary essential metals with MetS prevalence; and further to explore potential role of systemic inflammation biomarker, C-reactive protein (CRP), in relationships between essential metals exposure and MetS prevalence in a cross-sectional study. METHODS Concentrations of 8 urinary essential metals and plasma C-reactive protein (CRP) were quantified in 3272 adults from Wuhan-Zhuhai cohort. Urinary essential metals were adjusted by the corresponding urinary creatinine concentrations and reported as μg/mmol creatinine. Multivariable logistic regression and linear regression models were used to evaluate dose-response relationships between essential metals, plasma CRP, and MetS prevalence. Mediation analysis was performed to investigate the role of plasma CRP in the associations between urinary essential metals and MetS prevalence. RESULTS In the single-metal models, we observed positive dose-dependent relationships of urinary copper and zinc with MetS prevalence. Compared with the lowest quartiles of urinary metals, the ORs (95% CI) of MetS in the highest quartiles were 1.40 (1.03, 1.91) for urinary copper and 2.07 (1.51, 2.84) for zinc, respectively. The dose-dependent relationships of zinc and copper with MetS remained significant in the multiple-metal models and Bayesian kernel machine regression (BKMR) models. No significant associations were observed between others essential metals (e.g. manganese, iron, cobalt, selenium, chromium, molybdenum) and MetS in this general population (all P value > 0.05). In addition, urinary copper and zinc increased monotonically with plasma CRP elevation, and plasma CRP was positively associated with the MetS prevalence. Mediation analysis indicated that plasma CRP mediated 5.2% and 3.2% in the associations of urinary copper and zinc with MetS prevalence, respectively. CONCLUSIONS Elevated concentrations of urinary copper and zinc were associated with increased prevalence of MetS. Systemic inflammation may play an important role in the associations of copper and zinc exposure with MetS.
Collapse
Affiliation(s)
- Jixuan Ma
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yun Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yiju Xu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
| |
Collapse
|
31
|
Li J, Wang T, Wang Y, Xu M, Zhang L, Li X, Liu Z, Gao S, Jia Q, Fan Y, Wang Z, Wu N, Zhang X, Dai Y, Kong F, Wang W, Duan H. Particulate matter air pollution and the expression of microRNAs and pro-inflammatory genes: Association and mediation among children in Jinan, China. JOURNAL OF HAZARDOUS MATERIALS 2020; 389:121843. [PMID: 31843406 DOI: 10.1016/j.jhazmat.2019.121843] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/28/2019] [Accepted: 12/06/2019] [Indexed: 05/20/2023]
Abstract
Exposure to particulate matter (PM) has been associated with increased risk of various diseases, possibly through its effect on inflammatory response. MicroRNAs (miRNAs), an epigenetic mechanism regulating gene expression, can affect the expression of pro-inflammatory genes. However, few epidemiological studies have examined the impact of PM on inflammation-related miRNAs and their target mRNAs, especially among vulnerable population. We recruited 160 and 113 children from areas with different PM level in Jinan, China. We measured benzo[a]pyrene-r-7,t-8,t-9,c-10-tetrahydotetrol-albumin (BPDE-Alb) adducts in serum and the expression of 5 candidate miRNAs involved in inflammation regulation and 7 pro-inflammatory genes predicted to be their targets in leukocytes. Generally, children in the polluted area had higher miRNAs and lower mRNAs expression than those in the control area. An interquartile increase of BPDE-Alb adducts was associated with 12.66 %, 14.13 %, and 12.76 % higher of let-7a, miR-146a-5p, and miR-155-5p, as well as 21.61 %, 20.16 %, and 12.49 % lower of IL-6, CXCL8, and TLR2 mRNAs at false discovery rate<0.05, respectively. Additionally, let-7a, miR-146a-5p, and miR-155-5p were found to mediate the associations of BPDE-Alb adducts with IL-6 and/or TLR2 expression. Our findings suggested that PM exposure might attenuate inflammatory response among children in China, which was partly mediated by miRNAs regulating pro-inflammatory genes.
Collapse
Affiliation(s)
- Jie Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ting Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanhua Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengmeng Xu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Zhang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinwei Li
- Jinan Municipal Center for Disease Control and Prevention, Jinan, China
| | - Zhong Liu
- Jinan Municipal Center for Disease Control and Prevention, Jinan, China
| | - Sheng Gao
- Inner Mongolia Center for Disease Control and Prevention, Hohhot, China
| | - Qiang Jia
- Shandong Academy of Occupational Health and Occupational Medicine, Jinan, China
| | - Yaochun Fan
- Inner Mongolia Center for Disease Control and Prevention, Hohhot, China
| | - Zhenjie Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nan Wu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fanling Kong
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Wenrui Wang
- Inner Mongolia Center for Disease Control and Prevention, Hohhot, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
| |
Collapse
|
32
|
Diverse Associations of Plasma Selenium Concentrations and SELENOP Gene Polymorphism with Metabolic Syndrome and Its Components. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:5343014. [PMID: 32377302 PMCID: PMC7195628 DOI: 10.1155/2020/5343014] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/11/2019] [Accepted: 01/10/2020] [Indexed: 02/07/2023]
Abstract
The relationship between selenium and metabolic syndrome (MetS) has been discussed controversially, and limited studies have examined the associations of single nucleotide polymorphisms in selenoproteins genes with MetS. Hence, to examine the associations of plasma selenium concentrations and selenoprotein P rs7579 polymorphism with MetS, a case-control study of 1279 MetS cases and 1279 sex- and age- (±2 years) matched controls was conducted based on the baseline data of the Tongji-Ezhou Cohort study. Plasma selenium concentrations were measured by inductively coupled plasma mass spectrometry. MetS was defined using the definition of the Joint Interim Statement, adjusted for the Chinese population. In addition, the rs7579 polymorphism was genotyped by the Agena MassARRAY System. Plasma selenium concentrations in the MetS group were higher than in the control group (93.88 μg/L (83.17-107.41) vs. 92.66 μg/L (82.36-103.53), P < 0.05). Compared with quartile 4 (≥103.53 μg/L), the multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) associated with MetS were 0.79 (0.59-1.06) for quartile 1 (<82.36 μg/L), 0.75 (0.56-1.01) for quartile 2 (82.37-92.66 μg/L), and 0.61 (0.45-0.83) for quartile 3 (92.67-103.52 μg/L). The cubic spline analyses revealed a U-shaped association between plasma selenium and MetS, with the lowest risk at around 93.69 μg/L. Moreover, in cubic spline analyses, plasma selenium showed U-shaped associations with central obesity and high blood pressure, positive associations with hypertriglyceridemia and hyperglycemia, and a negative association with low high-density lipoprotein cholesterol. Additionally, both the GA and GA+AA genotype carriers were associated with increased ORs of MetS comparing with the GG genotype carriers. Our findings suggested a U-shaped association between plasma selenium and MetS and diverse associations between plasma selenium and components of MetS. Furthermore, our study found that the A allele of rs7579 was associated with higher odds of MetS. Further studies are needed to confirm our findings and elucidate the underlying mechanisms.
Collapse
|
33
|
Wallace DR, Taalab YM, Heinze S, Tariba Lovaković B, Pizent A, Renieri E, Tsatsakis A, Farooqi AA, Javorac D, Andjelkovic M, Bulat Z, Antonijević B, Buha Djordjevic A. Toxic-Metal-Induced Alteration in miRNA Expression Profile as a Proposed Mechanism for Disease Development. Cells 2020; 9:cells9040901. [PMID: 32272672 PMCID: PMC7226740 DOI: 10.3390/cells9040901] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 04/01/2020] [Accepted: 04/01/2020] [Indexed: 02/07/2023] Open
Abstract
Toxic metals are extensively found in the environment, households, and workplaces and contaminate food and drinking water. The crosstalk between environmental exposure to toxic metals and human diseases has been frequently described. The toxic mechanism of action was classically viewed as the ability to dysregulate the redox status, production of inflammatory mediators and alteration of mitochondrial function. Recently, growing evidence showed that heavy metals might exert their toxicity through microRNAs (miRNA)—short, single-stranded, noncoding molecules that function as positive/negative regulators of gene expression. Aberrant alteration of the endogenous miRNA has been directly implicated in various pathophysiological conditions and signaling pathways, consequently leading to different types of cancer and human diseases. Additionally, the gene-regulatory capacity of miRNAs is particularly valuable in the brain—a complex organ with neurons demonstrating a significant ability to adapt following environmental stimuli. Accordingly, dysregulated miRNAs identified in patients suffering from neurological diseases might serve as biomarkers for the earlier diagnosis and monitoring of disease progression. This review will greatly emphasize the effect of the toxic metals on human miRNA activities and how this contributes to progression of diseases such as cancer and neurodegenerative disorders (NDDs).
Collapse
Affiliation(s)
- David R. Wallace
- School of Biomedical Science, Oklahoma State University Center for Health Sciences, Tulsa, OK 74107, USA;
| | - Yasmeen M. Taalab
- Forensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Mansoura University, Dakahlia Governate 35516, Egypt or
- Institute of Forensic and Traffic Medicine, University of Heidelberg, Voßstraße 2, 69115 Heidelberg, Germany;
| | - Sarah Heinze
- Institute of Forensic and Traffic Medicine, University of Heidelberg, Voßstraße 2, 69115 Heidelberg, Germany;
| | - Blanka Tariba Lovaković
- Analytical Toxicology and Mineral Metabolism Unit, Institute for Medical Research and Occupational Health, Ksaverska cesta 2, 10 000 Zagreb, Croatia; (B.T.L.); (A.P.)
| | - Alica Pizent
- Analytical Toxicology and Mineral Metabolism Unit, Institute for Medical Research and Occupational Health, Ksaverska cesta 2, 10 000 Zagreb, Croatia; (B.T.L.); (A.P.)
| | - Elisavet Renieri
- Centre of Toxicology Science and Research, University of Crete, School of Medicine, 71601 Heraklion, Greece; (E.R.); (A.T.)
| | - Aristidis Tsatsakis
- Centre of Toxicology Science and Research, University of Crete, School of Medicine, 71601 Heraklion, Greece; (E.R.); (A.T.)
| | | | - Dragana Javorac
- Department of Toxicology “Akademik Danilo Soldatović”, University of Belgrade-Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia; (D.J.); (M.A.); (Z.B.); (B.A.)
| | - Milena Andjelkovic
- Department of Toxicology “Akademik Danilo Soldatović”, University of Belgrade-Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia; (D.J.); (M.A.); (Z.B.); (B.A.)
| | - Zorica Bulat
- Department of Toxicology “Akademik Danilo Soldatović”, University of Belgrade-Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia; (D.J.); (M.A.); (Z.B.); (B.A.)
| | - Biljana Antonijević
- Department of Toxicology “Akademik Danilo Soldatović”, University of Belgrade-Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia; (D.J.); (M.A.); (Z.B.); (B.A.)
| | - Aleksandra Buha Djordjevic
- Department of Toxicology “Akademik Danilo Soldatović”, University of Belgrade-Faculty of Pharmacy, Vojvode Stepe 450, 11221 Belgrade, Serbia; (D.J.); (M.A.); (Z.B.); (B.A.)
- Correspondence:
| |
Collapse
|