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The Transcript Level of Long Non-Coding Rnas; Malat1 and Tug1, and the Association With Metabolic Syndrome-Related Parameters in Women With Overweight and Obesity Publisher



Rasaei N1, 2 ; Samadi M1 ; Daneshzad E3 ; Hassanzadeh M4 ; Gholami F1 ; Saeedyekaninejad M5 ; Clark CCT6 ; Emamgholipour S7, 8 ; Mirzaei K1
Authors
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Authors Affiliations
  1. 1. Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box:14155-6117, Tehran, Iran
  2. 2. Network of Interdisciplinarity in Neonates and Infants (NINI), Universal Scientific Education and Research Network (USERN), Tehran, Iran
  3. 3. Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
  4. 4. Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  5. 5. Department of Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Centre for Healthcare and Communities, Coventry University, Coventry, CV1 5FB, United Kingdom
  7. 7. Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  8. 8. Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Diabetes and Metabolic Disorders Published:2023


Abstract

Background: Recent studies have addressed the possible role of long non-coding RNAs (lnc-RNAs), Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1), and Taurine Upregulated Gene 1 (TUG1), in modulating the underlying mechanisms of obesity-related metabolic abnormalities. However, studies are limited and contradictory. Hence, we sought to investigate the relationship of the transcript level of these two lnc-RNAs with metabolic syndrome (MetS)-related parameters in women with obesity and overweight. Method: This cross-sectional study was conducted on 342 women with obese and overweight. We conducted assessments encompassing anthropometric measurements, body composition analysis, fasting blood sugar (FBS) levels, lipid profile analysis, insulin levels, HOMA-IR index, and liver enzyme profiling. A quantitative real-time polymerase chain reaction (PCR) was used to evaluate transcript levels of MALAT1 and TUG1. Also, a 147-question semi-quantitative food frequency questionnaire (FFQ) and the International Physical Activity Questionnaire (IPAQ) were used to evaluate food intake and physical activity, respectively. Results: There was a significant association between FBS and MALAT1 transcript level (β: 0.382; 95% CI: 0.124, 0.640; P = 0.004). Also, there was a significant association between triglyceride (TG) and MALAT1 transcript level (β: 4.767; 95% CI: 2.803, 6.731; P < 0.0001). After adjusting for age, BMI, energy intake, and physical activity, an inverse significant association was observed between high-density lipoprotein cholesterol (HDL-c) and MALAT1 transcript level (β: -0.325; 95% CI: -0.644, -0.006; P = 0.046). Conclusions: Our findings indicated positive associations between mRNA levels of MALAT1 and MetS-related parameters, including FBG, TG, HDL, and systolic blood pressure in overweight and obese women. However, large prospective studies are needed to further establish this concept. © 2023, The Author(s), under exclusive licence to Tehran University of Medical Sciences.
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