HHEAR and CHEAR Publications

2022

Anklam E, Bahl MI, Ball R, et al. Emerging technologies and their impact on regulatory science .Exp Biol Med (Maywood). 2022;247(1):1-75.
Bennett DH, Busgang SA, Kannan K, et al. Environmental exposures to pesticides, phthalates, phenols and trace elements are associated with neurodevelopment in the CHARGE study . Environ Int. 2022;161:107075.
Drieling RL, Sampson PD, Krenz JE, et al. Randomized trial of a portable HEPA air cleaner intervention to reduce asthma morbidity among Latino children in an agricultural community . Environ Health. 2022;21(1):1.
Peacock JL, Palys TJ, Halchenko Y, et al. Assessing tobacco smoke exposure in pregnancy from self-report, urinary cotinine and NNAL: a validation study using the New Hampshire Birth Cohort Study . BMJ Open. 2022;12(2):e054535.
Yu M, Dolios G, Petrick L. Reproducible untargeted metabolomics workflow for exhaustive MS2 data acquisition of MS1 features . J Cheminform. 2022;14(1):6.

2021

Banker M, Puttabyatappa M, O'Day P, et al. Association of Maternal-Neonatal Steroids With Early Pregnancy Endocrine Disrupting Chemicals and Pregnancy Outcomes . J Clin Endocrinol Metab. 2021;106(3):665-687.
Barr DB, Kannan K, Cui Y, et al. The use of dried blood spots for characterizing children's exposure to organic environmental chemicals. Environmental Research. 2021; 195:110796.
Butts CD, Bloom MS, McGough A, et al. Variability of essential and non-essential trace elements in the follicular fluid of women undergoing in vitro fertilization (IVF). Ecotoxicol Environ Saf. 2021;209:111733.
Chang CJ, Ryan PB, Smarr MM, et al. Serum per- and polyfluoroalkyl substance (PFAS) concentrations and predictors of exposure among pregnant African American women in the Atlanta area, Georgia . Environ Res. 2021;198:110445.
Galusha AL, Merrill L, Palmer CD, Amarasiriwardena C, Parsons PJ. Measurement harmonization and traceability for trace element analyses across the Children's Health Exposure Analysis Resource laboratory network. Environ Res. 2021;193:110302.
Getzinger GJ, Higgins CP, Ferguson PL. Structure Database and In Silico Spectral Library for Comprehensive Suspect Screening of Per- and Polyfluoroalkyl Substances (PFASs) in Environmental Media by High-resolution Mass Spectrometry .Anal Chem. 2021;93(5):2820-2827.
Ghanbari R, Li Y, Pathmasiri W, et al. Metabolomics reveals biomarkers of opioid use disorder . Transl Psychiatry. 2021;11(1):103.
Haggerty DK, Strakovsky RS, Talge NM, et al. Prenatal phthalate exposures and autism spectrum disorder symptoms in low-risk children Neurotoxicol Teratol. 2021;83:106947.
Harville EW, Li YY, Pan K, McRitchie S, Pathmasiri W, Sumner S. Untargeted analysis of first trimester serum to reveal biomarkers of pregnancy complications: a case-control discovery phase study . Sci Rep. 2021;11(1):3468.
Habra H, Kachman M, Bullock K, Clish C, Evans CR, Karnovsky A. metabCombiner: Paired Untargeted LC-HRMS Metabolomics Feature Matching and Concatenation of Disparately Acquired Data Sets . Anal Chem. 2021;93(12):5028-5036.
Howe CG, Claus Henn B, Farzan SF, et al. Prenatal metal mixtures and fetal size in mid-pregnancy in the MADRES study . Environ Res. 2021;196:110388.
Jansen EC, Dolinoy D, Peterson KE, et al. Adolescent sleep timing and dietary patterns in relation to DNA methylation of core circadian genes: a pilot study of Mexican youth Epigenetics. 2021;16(8):894-907.
Kannan K, Stathis A, Mazzella MJ, et al. Quality assurance and harmonization for targeted biomonitoring measurements of environmental organic chemicals across the Children's Health Exposure Analysis Resource laboratory network . Int J Hyg Environ Health. 2021;234:113741.
Mazzella MJ, Barr DB, Kannan K, Amarasiriwardena C, Andra SS, Gennings C. Evaluating inter-study variability in phthalate and trace element analyses within the Children's Health Exposure Analysis Resource (CHEAR) using multivariate control charts . J Expo Sci Environ Epidemiol. 2021;31(2):318-327.
Meijer J, Lamoree M, Hamers T, et al. An annotation database for chemicals of emerging concern in exposome research . Environ Int. 2021;152:106511.
Merced-Nieves FM, Arora M, Wright RO, Curtin P. Metal mixtures and neurodevelopment: recent findings and emerging principles . Curr Opin Toxicol. 2021;26:28-32.
Overdahl KE, Gooden D, Bobay B, Getzinger GJ, Stapleton HM, Ferguson PL. Characterizing azobenzene disperse dyes in commercial mixtures and children's polyester clothing . Environ Pollut. 2021;287:117299.
Ulrich JC, Ferguson PL. Development of a sensitive direct injection LC-MS/MS method for the detection of glyphosate and aminomethylphosphonic acid (AMPA) in hard waters . Anal Bioanal Chem. 2021;413(14):3763-3774.
Viet SM, Falman JC, Merrill LS, et al. Human Health Exposure Analysis Resource (HHEAR): A model for incorporating the exposome into health studies . Int J Hyg Environ Health. 2021;235:113768.
Walmsley SJ, Guo J, Murugan P, et al. Comprehensive Analysis of DNA Adducts Using Data-Independent wSIM/MS 2 Acquisition and wSIM-City. Anal Chem. 2021; 93(16):6491-6500.
Zhang J, Wang L, Kannan K. Quantitative analysis of polyethylene terephthalate and polycarbonate microplastics in sediment collected from South Korea, Japan and the USA . Chemosphere. 2021;279:130551.
Zhu H, Chinthakindi S, Kannan K. A method for the analysis of 121 multi-class environmental chemicals in urine by high-performance liquid chromatography-tandem mass spectrometry . J Chromatogr A. 2021;1646:462146.

2020

Aung MT, Meeker JD, Boss J, et al. Manganese is associated with increased plasma interleukin-1β during pregnancy, within a mixtures analysis framework of urinary trace metals. Reproductive Toxicology. 2020;93:43-53.
Chen Z, Yang T, Walker DI, et al. Dysregulated lipid and fatty acid metabolism link perfluoroalkyl substances exposure and impaired glucose metabolism in young adults. Environ Int. 2020;145:106091.
CHEAR Metabolomics Analysis Team, Mazzella M, Sumner SJ, et al. Quantitative methods for metabolomic analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR) J Expo Sci Environ Epidemiol. 2020;30(1):16-27.
Jung A, Kannan K. Profiles of urinary neonicotinoids and dialkylphosphates in populations in nine countries. Environment International. 2020; 145:106120.
Karnovsky A, Li S. Pathway analysis for targeted and untargeted metabolomics. Methods in Molecular Biology. 2020;2104:387-400.
Kim SS, Meeker JD, Aung MT, et al. Urinary trace metals in association with fetal ultrasound measures during pregnancy. Environmental Epidemiology. 2020;4(2):e075.
LaBarre JL, McCabe CF, Jones TR, et al. Maternal lipodome across pregnancy is associated with the neonatal DNA methylome. Epigenomics. 2020;12(23):2077-2092.
Li YY, Ghanbari R, Pathmasiri W, et al. Untargeted Metabolomics: Biochemical Perturbations in Golestan Cohort Study Opium Users Inform Intervention Strategies. Front Nutr. 2020;7:584585.
McCabe CF, Padmanabhan V, Dolinoy DC, et al. Maternal environmental exposure to bisphenols and epigenome-wide DNA methylation in infant cord blood. Environmental Epigenetics. 2020; 6(1):dvaa021.
McGee G, Weisskopf MG, Kioumourtzoglou MA, et al. Informatively empty clusters with application to multigenerational studies Biostatistics. 2020;21(4):775-789.
Pittard WS, Li S. The essential toolbox of data science: Python, R, Git, and Docker. Methods in Molecular Biology. 2020;2104:265-311.
Nair N, Austin C, Curtin P, et al. Association Between Early-life Exposures and Inflammatory Bowel Diseases, Based on Analyses of Deciduous Teeth .Gastroenterology. 2020;159(1):383-385.
Pittard WS, Villaveces C, Li S. A bioinformatics primer to data science, with examples for metabolomics. Methods in Molecular Biology. 2020;2104.
Rygiel CA, Dolinoy DC, Perng W, et al. Trimester-Specific Associations of Prenatal Lead Exposure With Infant Cord Blood DNA Methylation at Birth .Epigenet Insights. 2020;13:2516865720938669.
Samant PP, Niedzwiecki MM, Raviele N, et al. Sampling interstitial fluid from human skin using a microneedle patch Sci Transl Med. 2020;12(571):eaaw0285.
Yu M, Dolios G, Yong-Gonzalez V, et al. Untargeted metabolomics profiling and hemoglobin normalization for archived newborn dried blood spots from a refrigerated biorepository. J Pharm Biomed Anal. 2020;191:113574.

2019

Alderete TL, Jin R, Walker DI, et al. Perfluoroalkyl substances, metabolomic profiling, and alterations in glucose homeostasis among overweight and obese Hispanic children: a proof-of-concept analysis. Environment International. 2019;126:445-453.
Aung MT, Ferguson KK, Cantonwine DE, et al. Associations between maternal plasma measurements of inflammatory markers and urinary levels of phenols and parabens during pregnancy: repeated measures study. Science of the Total Environment. 2019;650(Pt 1):1131-1140.
Dolios G, Patel D, Arora M, et al. Mass defect filtering for suspect screening of halogenated environmental chemicals: a case study of chlorinated organophosphate flame retardants. Rapid Communications in Mass Spectrometry. 2019;33(5):503-519.
Evans CR, Karnovsky A, Puskarich MA, et al. Untargeted metabolomics differentiates l-carnitine treated septic shock 1-year survivors and nonsurvivors. Journal of Proteome Research. April 1, 2019. [Epub ahead of print].
Galusha AL, Haig AC, Bloom MS, et al. Ultra-trace element analysis of human follicular fluid by ICP-MS/MS: pre-analytical challenges, contamination control, and matrix effects. Journal of Analytical Atomic Spectrometry. 2019;34(4):741-752.
Goodrich JM, Ingle ME, Domino SE, et al. First trimester maternal exposures to endocrine disrupting chemicals and metals and fetal size in the Michigan Mother-Infant Pairs study. Journal of Developmental Origins of Health and Disease. 2019;Jan 30:1-12.
Kingsley SL, Walker DI, Calafat AM, et al. Metabolomics of childhood exposure to perfluoroalkyl substances: a cross-sectional study. Metablomics. 2019;15(95).
Martinez-Moral MP, Kannan K. How stable is oxidative stress level? An observational study of intra- and inter-individual variability in urinary oxidative stress biomarkers of DNA, proteins, and lipids in healthy individuals. Environment International. 2019;123:382-389.
Petrick LM, Schiffman C, Edmands WMB, et al. Metabolomics of neonatal blood spots reveal distinct phenotypes of pediatric acute lymphoblastic leukemia and potential effects of early-life nutrition. Cancer Letters. 2019;452:71-78.
Schiffman C, Petrick L, Kelsi Perttula K, et al. Filtering procedures for untargeted LC-MS metabolomics data. BMC Bioinformatics. 2019;20(1):334.
Walker DI, Perry-Walker K, Finnell RH, et al.Metabolome-wide association study of anti-epileptic drug treatment during pregnancy. Toxicology and Applied Pharmacology. 2019;363:122-130.
Wernisch S, Pennathur S. Application of differential mobility-mass spectrometry for untargeted human plasma metabolomic analysis. Analytical and Bioanalytical Chemistry. April 2, 2019. [Epub ahead of print].
Zhu H, Kannan K. Inter-day and inter-individual variability in urinary concentrations of melamine and cyanuric acid. Environment International. 2019;123:375-381.

2018

Aker AM, Johns L, McElrath TF, et al. Associations between maternal phenol and paraben urinary biomarkers and maternal hormones during pregnancy: a repeated measures study. Environment International. 2018;113:341-349.
Bedrosian LD, Ferguson KK, Cantonwine DE, et al. Urinary phthalate metabolite concentrations in relation to levels of circulating matrix metalloproteinases in pregnant women. Science of the Total Environment. 2018;613-614:1349-1352.
Boss J, Zhai J, Aung MT, et al. Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores. Environmental health: A Global Access Science Source. 2018;17(1):56.
Buckley JP, Quirós-Alcalá L, Teitelbaum SL, et al. Associations of prenatal environmental phenol and phthalate biomarkers with respiratory and allergic diseases among children aged 6 and 7 years. Environment International. 2018;115:79-88.
Cathey A, Ferguson KK, McElrath TF, et al. Distribution and predictors of urinary polycyclic aromatic hydrocarbon metabolites in two pregnancy cohort studies. Environmental Pollution. 2018;232:556-562.
Claus Henn B, Austin C, Coull BA, et al. Uncovering neurodevelopmental windows of susceptibility to manganese exposure using dentine microspatial analyses. Environmental Research. 2018;161:588-598.
Jing Li A , Kannan K. Urinary concentrations and profiles of organophosphate and pyrethroid pesticide metabolites and phenoxyacid herbicides in populations in eight countries. Environment International. 2018;121(Pt 2):1148-1154.
Karthikraj R, Bollapragada R, Kannan K. Melamine and its derivatives in dog and cat urine: An exposure assessment study. Environmental Pollution. 2018;238:248-254.
Kim SS, Meeker JD, Carroll R, et al. Urinary trace metals individually and in mixtures in association with preterm birth. Environment International. 2018;121(Pt 1):582-590.
Kim UJ, Kannan K. Method for the determination of iodide in dried blood spots from newborns by high performance liquid chromatography tandem mass spectrometry. Analytical Chemistry. 2018;90(5):3291-3298.
Liu SH, Bobb JF, Claus Henn B, et al. Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures. Statistics in Medicine. 2018;37(30):4680-4694.
Liu SH, Bobb JF, Henn BC, et al. Modeling the health effects of time-varying complex environmental mixtures: mean field variational Bayes for lagged kernel machine regression. Environmetrics. 2018;29(4). pii: e2504.
Martinez MP, Kannan K. Simultaneous Analysis of seven biomarkers of oxidative damage to lipids, proteins, and DNA in urine. Environmental Science & Technology. 2018;52(11):6647-6655.
Montrose L, Padmanabhan V, Goodrich JM, et al. Maternal levels of endocrine disrupting chemicals in the first trimester of pregnancy are associated with infant cord blood DNA methylation. Epigenetics. 2018;13(3):301-309.
Nayebare SR, Karthikraj R, Kannan K. Analysis of terephthalate metabolites in human urine by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences. 2018;1092:473-479.
Rocha BA, Asimakopoulos AG, Honda M, et al. Advanced data mining approaches in the assessment of urinary concentrations of bisphenols, chlorophenols, parabens and benzophenones in Brazilian children and their association to DNA damage. Environment International. 2018;116:269-277.
Niedzwiecki MM, Samant P, Walker DI, et al. Human suction blister fluid composition determined using high-resolution metabolomics. Analytical Chemistry. 2018;90(6):3786-3792.
Smirnov A, Jia W, Walker DI, et al. ADAP-GC 3.2: Graphical software tool for efficient spectral deconvolution of gas chromatography-high-resolution mass spectrometry metabolomics data. Journal of Proteome Research. 2018;17(1):470-478.
Wang Y, Li W, Martínez-Moral MP, et al. Metabolites of organophosphate esters in urine from the United States: Concentrations, temporal variability, and exposure assessment. Environment International. 2019;122:213-221.
Wright RO, Teitelbaum S, Thompson C, et al. The child health exposure analysis resource as a vehicle to measure environment in the environmental influences on child health outcomes program. Current Opinion in Pediatrics. 2018;30(2):285-291.

2017

Andra SS, Austin C, Patel D, et al. Trends in the application of high-resolution mass spectrometry for human biomonitoring: An analytical primer to studying the environmental chemical space of the human exposome. Environment International. 2017;100:32-61.
Balshaw DM, Collman GW, Gray KA, et al. The Children’s Health Exposure Analysis Resource: enabling research into the environmental influences on children’s health outcomes.Current Opinion in Pediatrics. 2017;29(3):385-389.
Chiu YH, Hsu HH, Wilson A, et al. Prenatal particulate air pollution exposure and body composition in urban preschool children: examining sensitive windows and sex-specific associations. Environmental Research. 2017;158:798-805.
Curtin P, Curtin A, Austin C, et al. Recurrence quantification analysis to characterize cyclical components of environmental elemental exposures during fetal and postnatal development PLoS ONE. 2017;12(11):e0187049.
Johnson CH, Athersuch TJ, Collman GW, et al. Yale School of Public Health symposium on lifetime exposures and human health: the exposome; summary and future reflection Human Genomics. 2017;11(1):32.
Patel CJ, Kerr J, Thomas DC, et al. Opportunities and challenges for environmental exposure assessment in population-based studies. Cancer Epidemiology, Biomarkers & Prevention. 2017;26(9);1370-1380.
Peterson LA, Hecht SS. Tobacco, e-cigarettes, and child health. Current Opinion in Pediatrics. 2017;29(2):225-230.
Rosa MJ, Pajak A, Just AC, et al. Prenatal exposure to PM2.5 and birth weight: a pooled analysis from three North American longitudinal pregnancy cohort studies. Environment International. 2017;107:173-180.
Stingone JA, Buck Louis GM, Nakayama SF, et al. Toward greater implementation of the exposome research paradigm within environmental epidemiology. Annual Review of Public Health. 2017;38:315-327.
Stingone JA, Mervish N, Kovatch P, et al. Big and disparate data: considerations for pediatric consortia. Current Opinion in Pediatrics. 2017;29(2):231-239.
Wolff MS, Buckley JP, Engel SM, et al. Emerging exposures of developmental toxicants. Current Opinion in Pediatrics. 2017;29(2):218-224.
Wright RO. Environment, susceptibility windows, development, and child health. Current Opinion in Pediatrics. 2017;29(2):211-217.

2016

Andra SS, Austin C, Yang J, et al. Recent advances in simultaneous analysis of bisphenol A and its conjugates in human matrices: Exposure biomarker perspectives. Science of the Total Environment. 2016;572:770-781.
Kappil M, Wright RO, Sanders AP. Developmental origins of common disease: epigenetic contributions to obesity. Annual Review of Genomics and Human Genetics. 2016;17:177-192.
Uppal K, Walker DI, Liu K, et al. Computational metabolomics: a framework for the million metabolome. Chemical Research in Toxicology. 2016;29(12):1956-1975.
Wernisch S, Pennathur S. Evaluation of coverage, retention patterns, and selectivity of seven liquid chromatographic methods for metabolomics. Analytical and Bioanalytical Chemistry. 2016;408(22):6079-6091.