Correlation Analysis of Serum TYROBP Level and Metabolic Indexes of Obesity

To investigate the relationship between TYRO protein tyrosine kinase-binding protein (TYROBP), a transmembrane immune signal transduction adaptor, and obesity-related metabolic parameters. A total of 54 obese patients, 66 overweight subjects, and 54 normal weight subjects were selected from the Affi...

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Published inDiabetes, metabolic syndrome and obesity Vol. 18; no. Issue 1; pp. 2385 - 2397
Main Authors Xiao, Zhaohui, Han, Guiyan, Gao, Yu, Li, Guifen, He, Jianqiu, Li, Hongli, Liu, Xiaoyan, Wang, Jie, Yang, Chen
Format Journal Article
LanguageEnglish
Published New Zealand Dove Medical Press Limited 01.01.2025
Taylor & Francis Ltd
Dove
Dove Medical Press
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ISSN1178-7007
1178-7007
DOI10.2147/DMSO.S512731

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Summary:To investigate the relationship between TYRO protein tyrosine kinase-binding protein (TYROBP), a transmembrane immune signal transduction adaptor, and obesity-related metabolic parameters. A total of 54 obese patients, 66 overweight subjects, and 54 normal weight subjects were selected from the Affiliated Hospital of Chengde Medical College from February 2023 to May 2024. Serum TYROBP levels were compared among the three groups, and their correlation with body fat content and other related indicators of body composition analysis was analyzed. The analysis included correlations between serum TYROBP level and human body composition analysis indicators, such as body fat content and obesity-related metabolic indicators: weight-adjusted waist index (WWI), body shape index (ABSI), lipid accumulation index (LAP), cardiometabolic index (CMI), body adiposity index (BAI), and atherogenic index of plasma (AIP). Serum TYROBP levels were significantly elevated in obese patients compared to both normal weight and overweight individuals (p<0.05). Spearman's or Pearson's correlation analyses showed that serum TYROBP levels were positively correlated with age (r=0.232, <0.05) and glucose metabolism-related indicator FPG (r=0.39, <0.05). Positive correlations were also observed with lipid metabolism-related indicators TG (triglyceride)and TyG (triglyceride and glucose) (r=0.245,0.34, <0.05). Additionally, it was positively correlated with the following body composition analysis-related indicators: BMI (body mass index), basal metabolic rate (BMR), waist-hip ratio (WHR), obesity degree, skeletal muscle index (SMI), and visceral fat level (VFL)(r=0.25, 0.208, 0.166, 0.232, 0.231, 0.217, <0.05). Furthermore, positive correlations were identified with the following obesity-related metabolic indicators: LAP, CMI, BAI, and AIP (r=0.341, 0.307, 0.204, 0.282, <0.05). The results of multivariate logistic regression analysis showed that TYROBP (OR:5.455 [1.283-23.185], =0.022) was an independent risk factor for obesity ( <0.05). TYROBP is highly expressed in obese patients, indicating its potential as an independent risk factor for obesity and demonstrating diagnostic value for obesity with metabolic disorders.
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ISSN:1178-7007
1178-7007
DOI:10.2147/DMSO.S512731