Effects of obesity on the lipid and metabolite profiles of young adults by serum 1H-NMR spectroscopy

Duanghathai Pasanta; Sirirat Chancharunee; Montree Tungjai; Hong Joo Kim; Suchart Kothan

doi:10.7717/peerj.7137

Effects of obesity on the lipid and metabolite profiles of young adults by serum ¹H-NMR spectroscopy

PeerJ. 2019 Jun 20:7:e7137. doi: 10.7717/peerj.7137. eCollection 2019.

Authors

Duanghathai Pasanta¹, Sirirat Chancharunee², Montree Tungjai¹, Hong Joo Kim³, Suchart Kothan¹

Affiliations

¹ Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand.
² Department of Chemistry, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
³ Department of Physics, Kyungpook National University, Daegu, South Korea.

Abstract

Background: Overweight (OW) is considered a risk for various metabolic diseases. However, its effects as a mechanism that alters the metabolite profiles remain unclear. The purpose of this study is to investigate the effects that OW has on the lipid and metabolite profiles in young adults.

Methods: The serum metabolite profiles of 46 young adults of normal weight and those considered OW were studied by Proton nuclear magnetic resonance spectroscopy (¹H NMR) technique.

Results: ¹H NMR metabolite analysis shows the alteration of metabolic levels and increased levels of CH₂ lipids and CH₃ lipids, which are used as unique biomarkers to identify OW subjects from the normal weight groups.

Conclusion: This present study reveals that OW contributes to the systemic metabolism and the metabolite alteration among young adults. The alteration in serum lipids level could shed the light on metabolic syndrome pathogenesis in young adults and needs further elucidation.

Keywords: CH2 lipids; CH3 lipids; HbA1c; Lipids; Metabolite profile; Nuclear magnetic resonance spectroscopy; Obesity; Overweight; PLS-DA; Young adults.

Grants and funding

This research was supported by Chiang Mai University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.