Lipidomics in translational research and the clinical significance of lipid-based biomarkers.

Daniel J Stephenson, L Alexis Hoeferlin, Charles E Chalfant
Author Information
  1. Daniel J Stephenson: Department of Biochemistry and Molecular Biology, Virginia Commonwealth University (VCU), Richmond, Va.
  2. L Alexis Hoeferlin: Department of Biochemistry and Molecular Biology, Virginia Commonwealth University (VCU), Richmond, Va.
  3. Charles E Chalfant: Department of Biochemistry and Molecular Biology, Virginia Commonwealth University (VCU), Richmond, Va; Research Service, Hunter Holmes McGuire Veterans Administration Medical Center, Richmond, Va; VCU Massey Cancer Center, Cancer Cell Signaling Program, Virginia Commonwealth University, Richmond, Va; VCU Institute of Molecular Medicine, Richmond, Va; VCU Johnson Center for Critical Care and Pulmonary Research, Richmond, Va. Electronic address: charles.chalfant@vcuhealth.org.

Abstract

Lipidomics is a rapidly developing field of study that focuses on the identification and quantitation of various lipid species in the lipidome. Lipidomics has now emerged in the forefront of scientific research due to the importance of lipids in metabolism, cancer, and disease. Using both targeted and untargeted mass spectrometry as a tool for analysis, progress in the field has rapidly progressed in the last decade. Having the ability to assess these small molecules in vivo has led to better understanding of several lipid-driven mechanisms and the identification of lipid-based biomarkers in neurodegenerative disease, cancer, sepsis, wound healing, and pre-eclampsia. Biomarker identification and mechanistic understanding of specific lipid pathways linked to a disease's pathologies can form the foundation in the development of novel therapeutics in hopes of curing human disease.

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Grants

  1. U01 HD087198/NICHD NIH HHS
  2. R01 HL125353/NHLBI NIH HHS
  3. I01 BX001792/BLRD VA
  4. R21 AI109068/NIAID NIH HHS
  5. P30 CA016059/NCI NIH HHS
  6. S10 OD010641/NIH HHS
  7. C06 RR017393/NCRR NIH HHS

MeSH Term

Biomarkers
Disease
Humans
Lipids
Mass Spectrometry
Metabolomics
Translational Research, Biomedical

Chemicals

Biomarkers
Lipids

Word Cloud

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