Diabetes & metabolic syndrome · 2023
Isochromosome Xq and the risk of metabolic comorbidities in Turner syndrome.
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Malhotra Rakhi, Shukla Rashmi, Rastogi Vandana, Khadgawat Rajesh
Аннотация
BACKGROUND AND AIM: Subjects with Turner syndrome (TS) are at increased risk of metabolic disorders. The objective of this study is to evaluate the prevalence of metabolic abnormalities in TS and compare the metabolic profiles of subjects with respect to their X chromosome dosage.
METHODS: Sixty-four TS subjects with a mean age of 19 ± 4.9 years were included, and the prevalence of metabolic abnormalities was assessed. Out of these, 54 age and body mass index-matched TS subjects were divided into two groups based on karyotype: 45,X and 45,X/46,XX (group I; n = 33) and 46,X,i(X)(q10) and 45,X/46,X,i(X)(q10) (group II; n = 21). They were compared for blood pressure, fasting plasma glucose, homeostasis model assessment (HOMA) of insulin resistance (IR) and β cell function (HOMA-β), lipid profile, and percent total body fat mass (PTBFM) to assess if an extra copy of Xq contributes to a different metabolic profile.
RESULTS: The prevalence of impaired fasting glucose was 7.8%. 12% of subjects had higher systolic blood pressure (SBP), and 16% had higher diastolic blood pressure for age. 53% had a deranged lipid profile. Significant differences were noted in the two groups, with higher prevalence in group II vs. group I for SBP (p = 0.03), low-density lipoprotein cholesterol (LDL-c) (p = 0.03), and PTBFM (p = 0.02). When we applied a multiple regression analysis for these outcome variables while adjusting for potential confounders known to influence the cardiometabolic risk profile in TS, karyotype no longer remained a significant independent variable.
CONCLUSION: Extra copies of Xq do not contribute to an adverse metabolic risk profile.
METHODS: Sixty-four TS subjects with a mean age of 19 ± 4.9 years were included, and the prevalence of metabolic abnormalities was assessed. Out of these, 54 age and body mass index-matched TS subjects were divided into two groups based on karyotype: 45,X and 45,X/46,XX (group I; n = 33) and 46,X,i(X)(q10) and 45,X/46,X,i(X)(q10) (group II; n = 21). They were compared for blood pressure, fasting plasma glucose, homeostasis model assessment (HOMA) of insulin resistance (IR) and β cell function (HOMA-β), lipid profile, and percent total body fat mass (PTBFM) to assess if an extra copy of Xq contributes to a different metabolic profile.
RESULTS: The prevalence of impaired fasting glucose was 7.8%. 12% of subjects had higher systolic blood pressure (SBP), and 16% had higher diastolic blood pressure for age. 53% had a deranged lipid profile. Significant differences were noted in the two groups, with higher prevalence in group II vs. group I for SBP (p = 0.03), low-density lipoprotein cholesterol (LDL-c) (p = 0.03), and PTBFM (p = 0.02). When we applied a multiple regression analysis for these outcome variables while adjusting for potential confounders known to influence the cardiometabolic risk profile in TS, karyotype no longer remained a significant independent variable.
CONCLUSION: Extra copies of Xq do not contribute to an adverse metabolic risk profile.