1
|
Debertin JG, Holzhausen EA, Walker DI, Pacheco BP, James KA, Alderete TL, Corlin L. Associations between metals and metabolomic profiles related to diabetes among adults in a rural region. ENVIRONMENTAL RESEARCH 2024; 243:117776. [PMID: 38043890 PMCID: PMC10872433 DOI: 10.1016/j.envres.2023.117776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/06/2023] [Accepted: 11/22/2023] [Indexed: 12/05/2023]
Abstract
INTRODUCTION Exposure to metals is associated with increased risk of type 2 diabetes (T2D). Potential mechanisms for metals-T2D associations involve biological processes including oxidative stress and disruption of insulin-regulated glucose uptake. In this study, we assessed whether associations between metal exposure and metabolite profiles relate to biological pathways linked to T2D. MATERIALS AND METHODS We used data from 29 adults rural Colorado residents enrolled in the San Luis Valley Diabetes Study. Urinary concentrations of arsenic, cadmium, cobalt, lead, manganese, and tungsten were measured. Metabolic effects were evaluated using untargeted metabolic profiling, which included 61,851 metabolite signals detected in serum. We evaluated cross-sectional associations between metals and metabolites present in at least 50% of samples. Primary analyses adjusted urinary heavy metal concentrations for creatinine. Metabolite outcomes associated with each metal exposure were evaluated using pathway enrichment to investigate potential mechanisms underlying the relationship between metals and T2D. RESULTS Participants had a mean age of 58.5 years (standard deviation = 9.2), 48.3% were female, 48.3% identified as Hispanic/Latino, 13.8% were current smokers, and 65.5% had T2D. Of the detected metabolites, 455 were associated with at least one metal, including 42 associated with arsenic, 22 with cadmium, 10 with cobalt, 313 with lead, 66 with manganese, and two with tungsten. The metabolic features were linked to 24 pathways including linoleate metabolism, butanoate metabolism, and arginine and proline metabolism. Several of these pathways have been previously associated with T2D, and our results were similar when including only participants with T2D. CONCLUSIONS Our results support the hypothesis that metals exposure may be associated with biological processes related to T2D, including amino acid, co-enzyme, and sugar and fatty acid metabolism. Insight into biological pathways could influence interventions to prevent adverse health outcomes due to metal exposure.
Collapse
Affiliation(s)
- Julia G Debertin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA; Mayo Clinic Alix School of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
| | | | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Brismar Pinto Pacheco
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine A James
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA; Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
| |
Collapse
|
2
|
Hopkins CD, Wessel C, Chen O, El-Kersh K, Cave MC, Cai L, Huang J. Potential Roles of Metals in the Pathogenesis of Pulmonary and Systemic Hypertension. Int J Biol Sci 2023; 19:5036-5054. [PMID: 37928257 PMCID: PMC10620830 DOI: 10.7150/ijbs.85590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/08/2023] [Indexed: 11/07/2023] Open
Abstract
Pulmonary and systemic hypertension (PH, SH) are characterized by vasoconstriction and vascular remodeling resulting in increased vascular resistance and pulmonary/aortic artery pressures. The chronic stress leads to inflammation, oxidative stress, and infiltration by immune cells. Roles of metals in these diseases, particularly PH are largely unknown. This review first discusses the pathophysiology of PH including vascular oxidative stress, inflammation, and remodeling in PH; mitochondrial dysfunction and metabolic changes in PH; ion channel and its alterations in the pathogenesis of PH as well as PH-associated right ventricular (RV) remodeling and dysfunctions. This review then summarizes metal general features and essentiality for the cardiovascular system and effects of metals on systemic blood pressure. Lastly, this review explores non-essential and essential metals and potential roles of their dyshomeostasis in PH and RV dysfunction. Although it remains early to conclude the role of metals in the pathogenesis of PH, emerging direct and indirect evidence implicates the possible contributions of metal-mediated toxicities in the development of PH. Future research should focus on comprehensive clinical metallomics study in PH patients; mechanistic evaluations to elucidate roles of various metals in PH animal models; and novel therapy clinical trials targeting metals. These important discoveries will significantly advance our understandings of this rare yet fatal disease, PH.
Collapse
Affiliation(s)
- C. Danielle Hopkins
- Department of Anesthesiology and Perioperative Medicine, University of Louisville School of Medicine, Louisville, KY, USA
| | - Caitlin Wessel
- Department of Anesthesiology and Perioperative Medicine, University of Louisville School of Medicine, Louisville, KY, USA
| | - Oscar Chen
- Department of Anesthesiology and Perioperative Medicine, University of Louisville School of Medicine, Louisville, KY, USA
| | - Karim El-Kersh
- Department of Internal Medicine, Division of Pulmonary Critical Care and Sleep Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Matthew C. Cave
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Louisville School of Medicine, Louisville, KY, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, USA
- The Transplant Program at UofL Health - Jewish Hospital Trager Transplant Center, Louisville, KY, USA
| | - Lu Cai
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, USA
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
- Department of Radiation Oncology, University of Louisville School of Medicine, Louisville, KY, USA
| | - Jiapeng Huang
- Department of Anesthesiology and Perioperative Medicine, University of Louisville School of Medicine, Louisville, KY, USA
- The Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, 40202, USA
- Department of Pharmacology and Toxicology, University of Louisville School of Medicine, Louisville, KY, USA
- The Transplant Program at UofL Health - Jewish Hospital Trager Transplant Center, Louisville, KY, USA
- Cardiovascular Innovation Institute, Department of Cardiovascular and Thoracic Surgery, University of Louisville School of Medicine, Louisville, KY, USA
| |
Collapse
|
3
|
Wu Y, Meng Y, Yi W, Pan R, Liang Y, Li Y, Jin X, Sun X, Yan S, Mei L, Song J, Song S, Cheng J, Su H. The ratio of monocyte count and high-density lipoprotein cholesterol mediates the association between urinary tungsten and cardiovascular disease: a study from NHANES 2005-2018. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:85930-85939. [PMID: 37400701 DOI: 10.1007/s11356-023-28214-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/07/2023] [Indexed: 07/05/2023]
Abstract
Tungsten (W) is an emerging contaminant that can damage multiple systems in humans. However, studies of its effects on cardiovascular disease (CVD) are limited. The monocyte count to high-density lipoprotein cholesterol ratio (MHR) is a composite inflammatory index of great concern in recent years, derived from lipid and cell inflammation parameters, that is used to indicate the risk of CVD. This study aimed to investigate the association between urinary W and CVD in the general population and compare the mediating effects of lipids, cell inflammatory parameters, and MHR to find a better target for intervention. We analyzed data from 9137 (≥ 20 years) participants in the National Health and Nutrition Examination Survey (NHANES), from 2005 to 2018. Restricted cubic splines (RCS) and survey-weighted generalized linear models (SWGLMs) were used to assess the relationship between W and CVD. Mediated analyses were used to explore lipids, cell inflammatory parameters, and MHR in the possible mediating pathways between W and CVD. In SWGLM, we found that W enhances the risk of CVD, especially congestive heart failure (CHF), coronary heart disease (CHD), and angina pectoris (AP). Women, higher age groups (≥ 55 years), and those with hypertension were vulnerable to W in the subgroup analysis. Mediation analysis showed that monocyte count (MC), white blood cell count (WBC), high-density lipoprotein cholesterol (HDL), and MHR played a mediating role between W and CVD in proportions of 8.49%, 3.70%, 5.18%, and 12.95%, respectively. In conclusion, our study shows that urinary W can increase the risk of CVD, especially for CHF, CHD, and AP. Women, older age groups, and people with hypertension seem to be more vulnerable to W. In addition, MC, WBC, HDL, and MHR mediated the association between W and CVD, especially MHR, which suggests that we should consider it as a priority intervention target in the future.
Collapse
Affiliation(s)
- Yudong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Yajie Meng
- Department of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, Nanjing, 211112, Jiangsu, China
| | - Weizhuo Yi
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Rubing Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Yunfeng Liang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Yuxuan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Xiaoyu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Xiaoni Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Shuangshuang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Lu Mei
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Jian Song
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Shasha Song
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China
| | - Hong Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
- Anhui Province Key Laboratory of Major Autoimmune Diseases, Hefei, 230032, Anhui, China.
| |
Collapse
|
4
|
Riseberg E, Melamed RD, James KA, Alderete TL, Corlin L. Development and application of an evidence-based directed acyclic graph to evaluate the associations between metal mixtures and cardiometabolic outcomes. EPIDEMIOLOGIC METHODS 2023; 12:20220133. [PMID: 37377511 PMCID: PMC10292771 DOI: 10.1515/em-2022-0133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 06/05/2023] [Indexed: 06/29/2023]
Abstract
Objectives Specifying causal models to assess relationships among metal mixtures and cardiometabolic outcomes requires evidence-based models of the causal structures; however, such models have not been previously published. The objective of this study was to develop and evaluate a directed acyclic graph (DAG) diagraming metal mixture exposure and cardiometabolic outcomes. Methods We conducted a literature search to develop the DAG of metal mixtures and cardiometabolic outcomes. To evaluate consistency of the DAG, we tested the suggested conditional independence statements using linear and logistic regression analyses with data from the San Luis Valley Diabetes Study (SLVDS; n=1795). We calculated the proportion of statements supported by the data and compared this to the proportion of conditional independence statements supported by 1,000 DAGs with the same structure but randomly permuted nodes. Next, we used our DAG to identify minimally sufficient adjustment sets needed to estimate the association between metal mixtures and cardiometabolic outcomes (i.e., cardiovascular disease, fasting glucose, and systolic blood pressure). We applied them to the SLVDS using Bayesian kernel machine regression, linear mixed effects, and Cox proportional hazards models. Results From the 42 articles included in the review, we developed an evidence-based DAG with 74 testable conditional independence statements (43 % supported by SLVDS data). We observed evidence for an association between As and Mn and fasting glucose. Conclusions We developed, tested, and applied an evidence-based approach to analyze associations between metal mixtures and cardiometabolic health.
Collapse
Affiliation(s)
- Emily Riseberg
- Department of Public Health and Community Medicine, Tufts University, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Katherine A. James
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University, Boston, MA, USA
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA, USA
| |
Collapse
|
6
|
Riseberg E, Chui K, James KA, Melamed R, Alderete TL, Corlin L. A Longitudinal Study of Exposure to Manganese and Incidence of Metabolic Syndrome. Nutrients 2022; 14:nu14204271. [PMID: 36296955 PMCID: PMC9607173 DOI: 10.3390/nu14204271] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 11/17/2022] Open
Abstract
The association between manganese (Mn) and metabolic syndrome (MetS) is unclear, and no prior study has studied this association longitudinally. The aim of this study was to assess longitudinal associations of Mn exposure with MetS and metabolic outcomes. We used data from the San Luis Valley Diabetes Study (SLVDS), a prospective cohort from rural Colorado with data collected from 1984−1998 (n = 1478). Urinary Mn was measured at baseline (range = 0.20−42.5 µg/L). We assessed the shape of the cross-sectional association between Mn and MetS accounting for effect modification by other metals at baseline using Bayesian kernel machine regression. We assessed longitudinal associations between baseline quartiles of Mn and incident MetS using Fine and Gray competing risks regression models (competing risk = mortality) and between quartiles of Mn and metabolic outcomes using linear mixed effects models. We did not observe evidence that quartiles of Mn were associated with incident MetS (p-value for trend = 0.52). Quartiles of Mn were significantly associated with lower fasting glucose (p-value for trend < 0.01). Lead was found to be a possible effect modifier of the association between Mn and incident MetS. Mn was associated with lower fasting glucose in this rural population. Our results support a possible beneficial effect of Mn on diabetic markers.
Collapse
Affiliation(s)
- Emily Riseberg
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Correspondence:
| | - Kenneth Chui
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Katherine A. James
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Rachel Melamed
- Department of Biological Sciences, University of Massachusetts, Lowell, MA 01854, USA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado, Boulder, CO 80309, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
| |
Collapse
|