Metabolomics of World Trade Center-Lung Injury: A Machine Learning Approach

Details

• Personal Author:
  Caraher EJ ; Crowley G ; Haider SH ; Kwon S ; Lam R ; Liu M ; Nolan A ; Prezant DJ ; St-Jules DE
• Description:
  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 a clinically relevant, robust subset of metabolic contributors of WTC-LI through comprehensive high-dimensional metabolic profiling and integration of machine learning techniques. Methods: Never-smoking, male, WTC-exposed firefighters with normal pre-9/11 lung function were segregated by post-9/11 lung function. Cases of WTC-LI (forced expiratory volume in 1s
• Subjects:
  Biomarkers Emergency Responders Energy Metabolism Environmental Exposure Firefighters Lung Lung Diseases Men Occupational Health Respiratory System Respiratory Tract Diseases Risk Assessment Risk Factors Safety September 11 Terrorist Attacks Women

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• Keywords:
  Amino Acids Biological Effects Biological Function Exposure Levels Fire Fighters Humans Lung Disease Lung Disorders Lung Function Metabolic Effects Rescue Workers Risk Factors World Trade Center WTC

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• ISSN:
  2052-4439
• Document Type:
  Text
• Funding:
  Cooperative Agreement ; Contract
• Genre:
  Journal Article
• Place as Subject:
  New York ; OSHA Region 2
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  5
• Issue:
  1
• NIOSHTIC Number:
  nn:20052907
• Citation:
  BMJ Open Respir Res 2018 Sep; 5(1):e000274
• Contact Point Address:
  Anna Nolan, Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, New York University School of Medicine, New York
• Email:
  Anna.Nolan@med.nyu.edu
• Federal Fiscal Year:
  2018
• Performing Organization:
  New York University School of Medicine
• Peer Reviewed:
  True
• Start Date:
  20170701
• Source Full Name:
  BMJ Open Respiratory Research
• End Date:
  20260630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7755a505776f40faf0d23a071a3bf51b32e8b9d94099f2455847401ebba587721ead1a5bf9bafcfd19cc46a5b84d7d68ecbf28234254a58d5fe14160612fcb3a
• Download URL:
  https://stacks.cdc.gov/view/cdc/215813/cdc_215813_DS1.pdf
• File Type:
  [PDF - 4.01 MB ]