4.6 Review

Hair Metabolomics in Animal Studies and Clinical Settings

Journal

MOLECULES
Volume 24, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/molecules24122195

Keywords

hair; metabolomics; chronic disease; drug addiction; mass spectrometry

Funding

  1. Bio & Medical Technology Development Program through the National Research Foundation of Korea (NRF) - Ministry of Science and ICT [NRF-2015M3A9E1028327]
  2. Basic Science Research Program through the NRF - Ministry of Education [NRF-2016R1A6A1A03011325, NRF-2018R1D1A1B07048159]

Ask authors/readers for more resources

Metabolomics is a powerful tool used to understand comprehensive changes in the metabolic response and to study the phenotype of an organism by instrumental analysis. It most commonly involves mass spectrometry followed by data mining and metabolite assignment. For the last few decades, hair has been used as a valuable analytical sample to investigate retrospective xenobiotic exposure as it provides a wider window of detection than other biological samples such as saliva, plasma, and urine. Hair contains functional metabolomes such as amino acids and lipids. Moreover, segmental analysis of hair based on its growth rate can provide information on metabolic changes over time. Therefore, it has great potential as a metabolomics sample to monitor chronic diseases, including drug addiction or abnormal conditions. In the current review, the latest applications of hair metabolomics in animal studies and clinical settings are highlighted. For this purpose, we review and discuss the characteristics of hair as a metabolomics sample, the analytical techniques employed in hair metabolomics and the consequence of hair metabolome alterations in recent studies. Through this, the value of hair as an alternative biological sample in metabolomics is highlighted.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available