Program Publications: Harvard School of Public Health: Metals and Metal Mixtures: Cognitive Aging, Remediation, and Exposure Sources (MEMCARE)

Superfund Research Program

Metals and Metal Mixtures: Cognitive Aging, Remediation, and Exposure Sources (MEMCARE)

Center Director: Quan Lu
Grant Number: P42ES030990
Funding Period: 2020-2025

Program Links

Publications

2023

• Cathey A, Tamayo-Ortiz M, Tamayo-Orozco J, Meeker JD, Peterson KE, Trejo-Valdivia B, Tellez-Rojo M, Watkins DJ. 2023. Calcium supplementation and body mass index modify associations between prenatal phthalate exposure and perinatal bone ultrasound measures among pregnant women. Environ Res 233:116513. doi:10.1016/j.envres.2023.116513 PMID:37385416
• Chen Z, Qiao Z, Wirth CR, Park H, Lu Q. 2023. Arrestin domain-containing protein 1-mediated microvesicles (ARMMs) protect against cadmium-induced neurotoxicity. Extracell Vesicle 2:100027. doi:10.1016/j.vesic.2023.100027 PMID:37614814 PMCID:PMC10443948
• Choi S, Yang Z, Wang Q, Qiao Z, Sun M, Wiggins J, Xiang S, Lu Q. 2023. Displaying and delivering viral membrane antigens via WW domain-activated extracellular vesicles. Sci Adv 9(4):eade2708. doi:10.1126/sciadv.ade2708 PMID:36706192 PMCID:PMC9882979
• Dai M, Geyman BM, Hu XC, Thackray CP, Sunderland EM. 2023. Sociodemographic disparities in mercury exposure from United States coal-fired power plants. Environ Sci Technol Lett doi:10.1021/acs.estlett.3c00216
• Farsad A, Niimi K, Ersan MS, Gonzalez-Rodriguez JR, Hristovski KD, Westerhoff P. 2023. Mechanistic study of arsenate adsorption onto different amorphous grades of titanium (hydr)oxides impregnated into a point-of-use activated carbon block. ACS ES&T Eng doi:10.1021/acsestengg.3c00012
• Gupta S, Chismar A, Muhich C. 2023. Understanding the effect of single atom cationic defect sites in an Al2O3 (o12) surface on altering selenate and sulfate adsorption: An Ab Initio Study. Journal of Physical Chemistry C 127(14):6925-6937. doi:10.1021/acs.jpcc.3c00098 PMID:37521103 PMCID:PMC10373637
• Leung M, Rowland ST, Coull BA, Modest AM, Hacker MR, Schwartz J, Kioumourtzoglou M, Weisskopf MG, Wilson A. 2023. Bias amplification and variance inflation in distributed lag models using low-spatial-resolution data. Am J Epidemiol 192(4):644-657. doi:10.1093/aje/kwac220 PMID:36562713 PMCID:PMC10404064
• McGee G, Wilson A, Coull BA, Webster TF. 2023. Incorporating biological knowledge in analyses of environmental mixtures and health. Stat Med doi:10.1002/sim.9765 PMID:37161723
• Nwokonkwo O, Pelletier V, Broud M, Muhich C. 2023. Functionalized ferrocene enables selective electrosorption of arsenic oxyanions over phosphate-a DFT examination of the effects of substitutional moieties, pH, and oxidation state. J Phys Chem A 127(37):7727-7738. doi:10.1021/acs.jpca.3c03826 PMID:37682592 PMCID:PMC10530435
• Reid E, Igou T, Zhao Y, Crittenden JC, Huang C, Westerhoff P, Rittmann BE, Drewes JE, Chen Y. 2023. The minus approach can redefine the standard of practice of drinking water treatment. Environ Sci Technol 57(18):7150-7161. doi:10.1021/acs.est.2c09389 PMID:37074125 PMCID:PMC1017346
• Rudel HE, Zimmerman JB. 2023. Elucidating the role of capping agents in facet-dependent adsorption performance of hematite nanostructures. ACS Appl Mater Interfaces 15(29):34829-34837. doi:10.1021/acsami.3c05104 PMID:37441746
• Schildroth S, Friedman A, White RF, Kordas K, Placidi D, Bauer J, Webster TF, Coull BA, Cagna G, Wright RO, Smith D, Lucchini R, Horton MK, Henn BC. 2023. Associations of an industry-relevant metal mixture with verbal learning and memory in Italian adolescents: The modifying role of iron status. Environ Res 224:115457. doi:10.1016/j.envres.2023.115457 PMID:36773645 PMCID:PMC10117691
• Wutich A, Thomson P, Jepson W, Stoler J, Cooperman AD, Doss-Gollin J, Jantrania A, Mayer A, Nelson-Nunez J, Walker W, Westerhoff P. 2023. MAD water: Integrating modular, adaptive, and decentralized approaches for water security in the climate change era. WIREs Water doi:10.1002/wat2.1680

2022

• Antonelli J, Wilson A, Coull BA. 2022. Multiple exposure distributed lag models with variable selection. Biostatistics doi:10.1093/biostatistics/kxac038 PMID:36073640
• Gupta S, Nguyen NA, Muhich C. 2022. Surface water H-bonding network is key controller of selenate adsorption on [012] α-alumina: An Ab-initio study. Journal of Colloid and Interface Science 617:136-146. doi:10.1016/j.jcis.2022.02.128 PMID:35272167 PMCID:PMC9007919
• Hu XC, Dai M, Sun JM, Sunderland EM. 2022. The utility of machine learning models for predicting chemical contaminants in drinking water: promise, challenges, and opportunities. Curr Environ Health Rep doi:10.1007/s40572-022-00389-x PMID:36527604
• Laha N, Huey N, Coull BA, Mukherjee R. 2022. On statistical inference with high dimensional sparse CCA. Arxiv
• Laha N, Mukherjee R. 2022. On support recovery with sparse CCA: information theoretic and computational limits. IEEE Trans Info Theory 69(3):1695-1738. doi:10.1109/TIT.2022.3214201
• McGee G, Wilson A, Coull BA, Webster TF. 2022. Integrating biological knowledge in kernel-based analyses of environmental mixtures and health. Arxiv doi:10.48550/arXiv.1902.05878
• Pammi M, Aghaeepour N, Neu J. 2022. Multiomics, artificial intelligence, and precision medicine in perinatology. Pediatric Research 8:doi:10.1038/s41390-022-02181-x PMID:35804156
• Sharma N, Westerhoff P, Zeng C. 2022. Lithium occurrence in drinking water sources of the United States. Chemosphere 305:doi:10.1016/j.chemosphere.2022.135458 PMID:35752313

2021

• Bhatia M, Specht AJ, Ramya V, Sulaiman D, Konda M, Balcom PH, Sunderland EM, Qureshi A. 2021. Portable x-ray fluorescence as a rapid determination tool to detect parts per million levels of Ni, Zn, As, Se, and Pb in human toenails: A South India case study. Environ Sci Technol 55:13113-13121. doi:10.1021/acs.est.1c00937 PMID:34529917 PMCID:PMC8582015
• Chen B, Jiang J, Yang X, Zhang X, Westerhoff P. 2021. Roles and knowledge gaps of point-of-use technologies for mitigating health risks from disinfection byproducts in tap water: a critical review. Water Res 200:117265. doi:10.1016/j.watres.2021.117265 PMID:34091221 PMCID:PMC8634687
• Ettayebi K, Tenge VR, Cortes-Penfield NW, Crawford SE, Neill FH, Zeng X, Yu X, Ayyar BV, Burrin D, Ramani S, Atmar RL, Estes MK. 2021. New insights and enhanced human norovirus cultivation in human intestinal enteroids. mSphere 6(1):e01136-20. doi:10.1128/mSphere.01136-20 PMID:33504663 PMCID:PMC7885322
• Kidd J, Westerhoff P, Maynard A. 2021. Survey of industrial perceptions for the use of nanomaterials for in-home drinking water purification devices. NanoImpact 22:100320. doi:10.1016/j.impact.2021.100320 PMID:35559977 PMCID:PMC9106971
• Lee C, Guo S, Rho H, Levi J, Garcia-Segura S, Wong MS, Westerhoff P, Gardea-Torresdey J. 2021. Unified metallic catalyst aging strategy and implications for water treatment. Environ Sci Technol doi:10.1021/acs.est.1c02364 PMID:34309365 PMCID:PMC972089
• McGee G, Wilson A, Webster TF, Coull BA. 2021. Bayesian multiple index models for environmental mixtures. Biometrics doi:10.1111/biom.13569 PMID:34562016
• von Stackelberg KE, Williams P. 2021. Evolving science and practice of risk assessment. Risk Anal 41:571-583. doi:10.1111/risa.13647 PMID:33295028 PMCID:PMC8257268
• Westerhoff P, Alvarez PJ, Kim J, Li Q, Alabastri A, Halas N, Villagran D, Zimmerman JB, Wong MS. 2021. Utilizing the broad electromagnetic spectrum and unique nanoscale properties for chemical-free water treatment. Curr Opin Chem Eng 33:doi:10.1016/j.coche.2021.100709 PMID:34804780 PMCID:PMC8597955

2020

• Ceballos DM, Cote D, Bakhiyi B, Flynn MA, Zayed J, Gravel S, Herrick RF, Labreche F. 2020. Overlapping vulnerabilities in workers of the electronics recycling industry formal sector: A commentary. Am J Ind Med doi:10.1002/ajim.23173 PMID:32851678
• Rudel HE, Lane MM, Muhich C, Zimmerman JB. 2020. Toward informed design of nanomaterials: a mechanistic analysis of structure property function relationships for faceted nanoscale metal oxides. ACS Nano 16472-16501. doi:10.1021/acsnano.0c08356

2019

• Liu J, Lee JJ, Lynn P, Valeri L, Christiani DC, Bellinger DC, Wright RO, Mazumdar M, Coull BA. 2019. A Cross-validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies. J Am Stat Assoc

2017

• Liu J, Coull BA. 2017. Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes. Advances in Neural Information Processing Systems