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Middleton LYM, Nguyen VK, Dou J, Wang H, Patel CJ, Park SK, Colacino JA, Bakulski KM. Environmental chemical-wide associations with immune biomarkers in US adults: A cross-sectional analysis. ENVIRONMENTAL RESEARCH 2024; 252:118956. [PMID: 38640990 DOI: 10.1016/j.envres.2024.118956] [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: 01/22/2024] [Revised: 04/11/2024] [Accepted: 04/14/2024] [Indexed: 04/21/2024]
Abstract
Environmental chemical exposures influence immune system functions, and humans are exposed to a wide range of chemicals, termed the chemical "exposome". A comprehensive, discovery analysis of the associations of multiple chemical families with immune biomarkers is needed. In this study, we tested the associations between environmental chemical concentrations and immune biomarkers. We analyzed the United States cross-sectional National Health and Nutrition Examination Survey (NHANES, 1999-2018). Chemical biomarker concentrations were measured in blood or urine (196 chemicals, 17 chemical families). Immune biomarkers included counts of lymphocytes, neutrophils, monocytes, basophils, eosinophils, red blood cells, white blood cells, and mean corpuscular volume. We conducted separate survey-weighted, multivariable linear regressions of each log2-transformed chemical and immune measure, adjusted for relevant covariates. We accounted for multiple comparisons using a false discovery rate (FDR). Among 45,528 adult participants, the mean age was 45.7 years, 51.4% were female, and 69.3% were Non-Hispanic White. 71 (36.2%) chemicals were associated with at least one of the eight immune biomarkers. The most chemical associations (FDR<0.05) were observed with mean corpuscular volume (36 chemicals) and red blood cell counts (35 chemicals). For example, a doubling in the concentration of cotinine was associated with 0.16 fL (95% CI: 0.15, 0.17; FDR<0.001) increased mean corpuscular volume, and a doubling in the concentration of blood lead was associated with 61,736 increased red blood cells per μL (95% CI: 54,335, 69,138; FDR<0.001). A wide variety of chemicals, such as metals and smoking-related compounds, were highly associated with immune system biomarkers. This environmental chemical-wide association study identified chemicals from multiple families for further toxicological, immunologic, and epidemiological investigation.
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Affiliation(s)
- Lauren Y M Middleton
- 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; Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Vy K Nguyen
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA
| | - John Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Herong Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, 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
| | - Justin A Colacino
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Program in the Environment, College of Literature, Sciences, and the Arts, University of Michigan, Ann Arbor, MI, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
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Makker K, Wang X. Early Life Origins of Cardio-Metabolic Outcomes in Boston Birth Cohort: Review of Findings and Future directions. PRECISION NUTRITION 2023; 2:e00050. [PMID: 38283709 PMCID: PMC10810337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Affiliation(s)
- Kartikeya Makker
- Division of Neonatology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD
| | - Xiaobin Wang
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD
- Center on the Early Life Origins of Disease, Department of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Luan F, Liu B, Sun S, Chen Y, Xu Y, Jiang X, Guo X, Cheng S, Wang Y. Analysis of Eight Nutrient Elements in Whole Blood of Children and Adolescents Using Inductively Coupled Plasma-Mass Spectrometry. Biol Trace Elem Res 2022; 200:3078-3087. [PMID: 34562194 DOI: 10.1007/s12011-021-02928-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/11/2021] [Indexed: 11/25/2022]
Abstract
Few researches have been conducted on elements in whole blood of young people. Our study was to investigate the influence of age, gender and season on the contents of magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn), selenium (Se), and strontium (Sr) as well as to establish reference intervals (RIs). We conducted a retrospective study of 589 apparently healthy children and adolescents. Quantitative analysis had been carried out using inductively coupled plasma-mass spectrometry (ICP-MS). Test results were analyzed using and MannWhitney U test, Spearman and Pearson statistical analyses. RIs were defined by using 95% confidence interval. Differences between contents of Mg, Fe, Cu, and Zn in girls' and boys' whole blood were found. Positive correlations for Fe, Zn, Se, and Sr, while negative for Ca and Cu were found with age. Increasing trends were found for Fe, Zn, and Se, while for Ca and Cu, changes were even decreasing for children and teenagers. The most frequently correlating element pairs were FeZn, MgSe, and FeSe in five successive age groups. Lower contents of Mg, Ca, Fe, Zn, and Se were found in summer. Finally, the reference interval of each element was initially established according to age and gender grouping. The contents of elements in whole blood vary depending mainly on the gender and age of children and adolescents. The reference intervals of elements in whole blood grouped by age and gender provide a reference basis for clinical diagnosis and treatment of element-related diseases.
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Affiliation(s)
- Fang Luan
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China
| | - Bin Liu
- Department of Biomedical Engineering, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shuzhen Sun
- Department of Pediatry, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yuan Chen
- Department of Pediatry, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yanqiu Xu
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China
| | - Xuerui Jiang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China
| | - Xiangrui Guo
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China
| | - Shiqing Cheng
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China
| | - Yong Wang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan, Shandong, 250021, China.
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Zhang M, Liu T, Wang G, Buckley JP, Guallar E, Hong X, Wang MC, Wills-Karp M, Wang X, Mueller NT. In Utero Exposure to Heavy Metals and Trace Elements and Childhood Blood Pressure in a U.S. Urban, Low-Income, Minority Birth Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:67005. [PMID: 34160246 PMCID: PMC8221032 DOI: 10.1289/ehp8325] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
BACKGROUND In utero exposure to heavy metals lead (Pb), mercury (Hg), and cadmium (Cd) may be associated with higher childhood blood pressure (BP), whereas trace elements selenium (Se) and manganese (Mn) may have protective antioxidant effects that modify metal-BP associations. OBJECTIVES We examined the individual and joint effects of in utero exposure to Pb, Hg, Cd, Se, and Mn on childhood BP. METHODS We used data from the Boston Birth Cohort (enrolled 2002-2013). We measured heavy metals and trace elements in maternal red blood cells collected 24-72 h after delivery. We calculated child BP percentile per the 2017 American Academy of Pediatrics Clinical Practice Guideline. We used linear regression models to estimate the association of each metal, and Bayesian kernel machine regression (BKMR) to examine metal coexposures, with child BP between 3 to 15 years of age. RESULTS Our analytic sample comprised 1,194 mother-infant pairs (61% non-Hispanic Black, 20% Hispanic). Hg and Pb were not associated with child systolic BP (SBP). Se and Mn were inversely associated with child SBP percentiles, which, on average, were 6.23 points lower with a doubling of Se (95% CI: -11.51, -0.96) and 2.62 points lower with a doubling of Mn (95% CI: -5.20, -0.04). BKMR models showed similar results. Although Cd was not associated with child SBP overall, the inverse association between Mn and child SBP was stronger at higher levels of Cd (p-interaction=0.04). Consistent with this finding, in utero exposure to cigarette smoke modified the Mn-child SBP association. Among children whose mothers smoked during pregnancy, a doubling of Mn was associated with a 10.09-point reduction in SBP percentile (95% CI: -18.03, -2.15), compared with a 1.49-point reduction (95% CI: -4.21, 1.24) in children whose mothers did not smoke during pregnancy (p-interaction=0.08). CONCLUSION Se and Mn concentrations in maternal red blood cells collected 24-72 h after delivery were associated with lower child SBP at 3 to 15 years of age. There was an interaction between Mn and Cd on child SBP, whereby the protective association of Mn on child SBP was stronger among mothers who had higher Cd. The association of Mn and child SBP was also modified by maternal cigarette smoking-a source of Cd-during pregnancy. Optimizing in utero Se levels, as well as Mn levels in women who had high Cd or smoked during pregnancy, may protect offspring from developing high BP during childhood. https://doi.org/10.1289/EHP8325.
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Affiliation(s)
- Mingyu Zhang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tiange Liu
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Guoying Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jessie P. Buckley
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Mei-Cheng Wang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Marsha Wills-Karp
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Noel T. Mueller
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
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