Biological Response Indicators Resource The Biological Response Indicators Resource is a multi-disciplinary full service biomarker program designed to provide state-of-the-art technological and intellectual expertise to integrate biomarkers of effect into existing NIH funded children's environmental health studies. The Mount Sinai Lab Hub offers comprehensive assessment of a range of key regulatory systems and biological response indicators that may mediate or moderate effects of external environmental exposures. O ur capacity includes assessment of immune response/inflammation, response to reactive oxygen species (ROS), hormonal metabolism [sex steroids, hypothalamic-pituitary-adrenal (HPA) axis], autonomic reactivity, DNA damage responses, epigenetic alterations, & mitochondrial function. Characterization of environmentally-induced response biomarkers also will take advantage of evolving high throughput `omics' approaches to elucidating effects across these integrated pathways. Analyses can be conducted using conventional samples (venous blood, urine) as well as a range of less conventional samples (saliva, placenta, meconium, hair, teeth, breast milk, dried blood spots). We will integrate with the other Resources/Cores through monthly Executive Steering Committee meetings. Other specific interactions and collaborations include integrating the Biological Response Resource's biomarkers of effect to match the underlying toxicology of our targeted exposure biomarkers, and by assisting the Developmental Core in generating new biomarkers and then implementing them. We will work with the Admin core to coordinate services, including sample management, receiving, labeling and tracking. We will serve as expertise consultants with the Coordinating Center, PI/Clients and other Resources/Cores to match the goals of the parent study to the biological response indicators to be measured, factoring in study design, developmental stage, specimen type, phenotypes to be studied and analytical concerns. We will collaborate with the Data Center in the management of results reporting, ensuring that data are properly formatted and have sufficient metadata, as well as participate in the analysis of exposure/response relationships. This Resource will use established methods and procedures in the preparation of samples for analysis and will conduct state-of-the-art inter-laboratory QA/QC procedures which will consider standard issues (%replicants, intraclass correlation etc.) as well as data base management through our use of state of the art laboratory information management software. The Resource will maintain the necessary analytical instruments and equipment to serve the research needs of the CHEAR Network and participate in the Annual Workshop Seminar program described in the Admin Core. In sum, we will process and analyze samples with a high degree of efficiency and accuracy, assist in developing new methods or novel sample matrices, provide scientific consultation and integrate work with the other Hub components while maintaining a high degree of productivity and cost effectiveness.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Resource-Related Research Multi-Component Projects and Centers Cooperative Agreements (U2C)
Project #
1U2CES026561-01
Application #
9062197
Study Section
Special Emphasis Panel (ZES1-LWJ-J (UC))
Project Start
2015-09-30
Project End
2019-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
1
Fiscal Year
2015
Total Cost
$934,292
Indirect Cost
$297,519
Name
Icahn School of Medicine at Mount Sinai
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Wright, Robert O; Teitelbaum, Susan; Thompson, Claudia et al. (2018) The child health exposure analysis resource as a vehicle to measure environment in the environmental influences on child health outcomes program. Curr Opin Pediatr 30:285-291
Sanders, Alison P; Saland, Jeffrey M; Wright, Robert O et al. (2018) Perinatal and childhood exposure to environmental chemicals and blood pressure in children: a review of literature 2007-2017. Pediatr Res 84:165-180
Curtin, Paul; Austin, Christine; Curtin, Austen et al. (2018) Dynamical features in fetal and postnatal zinc-copper metabolic cycles predict the emergence of autism spectrum disorder. Sci Adv 4:eaat1293
Smith, Tanya M; Austin, Christine; Hinde, Katie et al. (2017) Cyclical nursing patterns in wild orangutans. Sci Adv 3:e1601517
Wright, Robert O (2017) Environment, susceptibility windows, development, and child health. Curr Opin Pediatr 29:211-217
Andra, Syam S; Austin, Christine; Patel, Dhavalkumar et al. (2017) 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. Environ Int 100:32-61
Wolff, Mary S; Buckley, Jessie P; Engel, Stephanie M et al. (2017) Emerging exposures of developmental toxicants. Curr Opin Pediatr 29:218-224
Evrard, Solene M; Lecce, Laura; Michelis, Katherine C et al. (2016) Endothelial to mesenchymal transition is common in atherosclerotic lesions and is associated with plaque instability. Nat Commun 7:11853
Kappil, Maya; Wright, Robert O; Sanders, Alison P (2016) Developmental Origins of Common Disease: Epigenetic Contributions to Obesity. Annu Rev Genomics Hum Genet 17:177-92
Andra, Syam S; Austin, Christine; Yang, Juan et al. (2016) Recent advances in simultaneous analysis of bisphenol A and its conjugates in human matrices: Exposure biomarker perspectives. Sci Total Environ 572:770-781

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