Journal of Traditional Chinese Medical Sciences (Jul 2021)

Proteomic analysis of overweight/obesity and related abnormal glucose and lipid metabolism caused by phlegm-dampness retention

  • Jiayi Ma,
  • Shuxian Sun,
  • Cheng Ni,
  • Lingru Li,
  • Jing Xia,
  • Houqin Li,
  • Huirong Song,
  • Xujun Heng,
  • Dandan Hu,
  • Yuanyuan Li

Journal volume & issue
Vol. 8, no. 3
pp. 224 – 237

Abstract

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Objective: To investigate the proteomic characteristics of overweight/obesity and related abnormal glucose and lipid metabolism caused by phlegm-dampness retention to identify related biomarkers. Methods: Seventy-one subjects were enrolled in the study. We assessed blood glucose, blood lipids, body mass index (BMI), and phlegm-dampness pattern, which was confirmed by a traditional Chinese medicine clinician. Of the participants, we included healthy participants with normal weight (NW, n = 23), overweight/obese participants with normal metabolism (ONM, n = 19), overweight/obese participants with pre-diabetes (OPD, n = 12), and overweight/obese participants with marginally-elevated blood lipids (OML, n = 17). Among them, the ONM, OPD, and OML groups were diagnosed with phlegm-dampness pattern. The data-independent acquisition (DIA) method was first used to analyze the plasma protein expression of each group, and the relevant differential proteins of each group were screened. The co-expressed proteins were evaluated by Venn analysis. The pathway analyses of the differential proteins were analyzed using Ingenuity Pathway Analysis (IPA) software. Parallel reaction monitoring (PRM) was used to verify the differential and common proteins in each group. Results: After comparing ONM, OPD, and OML groups with NW group, we identified the differentially expressed proteins (DEPs). Next, we determined the DEPs among OPD, OML, and ONM groups. Using Venn analysis of the DEPs in each group, 24 co-expressed proteins were screened. Two co-expressed proteins were verified by PRM. IPA analysis showed that pathways including LXR/RXR activation, acute phase response signaling, and FXR/RXR activation were common to all three groups of phlegm-damp overweight/obesity participants. However, the activation or inhibition of these pathways was different among the three groups. Conclusion: Participants with overweight/obesity have similar proteomic characteristics, though each type shows specific proteomic characteristics. Two co-expressed proteins, VTN and ORM1, are potential biomarkers for glucose and lipid metabolism diseases with overweight/obesity caused by phlegm-dampness retention.

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