Metabolomics of World Trade Center-Lung Injury: a machine learning approach

INTRODUCTION: Biomarkers of metabolic syndrome expressed soon after World Trade Center (WTC) exposure predict development of WTC Lung Injury (WTC-LI). The metabolome remains an untapped resource with potential to comprehensively characterise many aspects of WTC-LI. This case–control study identified...

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Detalles Bibliográficos
Autores principales: Crowley, George, Kwon, Sophia, Haider, Syed Hissam, Caraher, Erin J, Lam, Rachel, St-Jules, David E, Liu, Mengling, Prezant, David J, Nolan, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Biomarkers of Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135464/
https://www.ncbi.nlm.nih.gov/pubmed/30233801
http://dx.doi.org/10.1136/bmjresp-2017-000274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135464/
https://www.ncbi.nlm.nih.gov/pubmed/30233801
http://dx.doi.org/10.1136/bmjresp-2017-000274

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