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Lipidomics of human adipose tissue reveals diversity between body areas

Author

Listed:
  • Naba Al-Sari
  • Tommi Suvitaival
  • Ismo Mattila
  • Ashfaq Ali
  • Linda Ahonen
  • Kajetan Trost
  • Trine Foged Henriksen
  • Flemming Pociot
  • Lars Ove Dragsted
  • Cristina Legido-Quigley

Abstract

Background and aims: Adipose tissue plays a pivotal role in storing excess fat and its composition reflects the history of person’s lifestyle and metabolic health. Broad profiling of lipids with mass spectrometry has potential for uncovering new knowledge on the pathology of obesity, metabolic syndrome, diabetes and other related conditions. Here, we developed a lipidomic method for analyzing human subcutaneous adipose biopsies. We applied the method to four body areas to understand the differences in lipid composition between these areas. Materials and methods: Adipose tissue biopsies from 10 participants were analyzed using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. The sample preparation optimization included the optimization of the lipid extraction, the sample amount and the sample dilution factor to detect lipids in an appropriate concentration range. Lipidomic analyses were performed for adipose tissue collected from the abdomen, breast, thigh and lower back. Differences in lipid levels between tissues were visualized with heatmaps. Results: Lipidomic analysis on human adipose biopsies lead to the identification of 186lipids in 2 mg of sample. Technical variation of the lipid-class specific internal standards were below 5%, thus indicating acceptable repeatability. Triacylglycerols were highly represented in the adipose tissue samples, and lipids from 13 lipid classes were identified. Long polyunsaturated triacylglycerols in higher levels in thigh (q

Suggested Citation

  • Naba Al-Sari & Tommi Suvitaival & Ismo Mattila & Ashfaq Ali & Linda Ahonen & Kajetan Trost & Trine Foged Henriksen & Flemming Pociot & Lars Ove Dragsted & Cristina Legido-Quigley, 2020. "Lipidomics of human adipose tissue reveals diversity between body areas," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-15, June.
  • Handle: RePEc:plo:pone00:0228521
    DOI: 10.1371/journal.pone.0228521
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    References listed on IDEAS

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    1. Lê, Sébastien & Josse, Julie & Husson, François, 2008. "FactoMineR: An R Package for Multivariate Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i01).
    2. Bo Jin & Rui Liu & Shiying Hao & Zhen Li & Chunqing Zhu & Xin Zhou & Pei Chen & Tianyun Fu & Zhongkai Hu & Qian Wu & Wei Liu & Daowei Liu & Yunxian Yu & Yan Zhang & Doff B McElhinney & Yu-Ming Li & De, 2017. "Defining and characterizing the critical transition state prior to the type 2 diabetes disease," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.
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