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

被引:1
作者
Rasaei, Niloufar [1 ,2 ]
Samadi, Mahsa [1 ]
Daneshzad, Elnaz [3 ]
Hassan-zadeh, Mohadeseh [4 ]
Gholami, Fatemeh [1 ]
Saeedyekaninejad, Mir [5 ]
Clark, Cain C. T. [6 ]
Emamgholipour, Solaleh [7 ,8 ]
Mirzaei, Khadijeh [1 ]
机构
[1] Univ Tehran Med Sci, Sch Nutrit Sci & Dietet, Dept Community Nutr, POB 14155-6117, Tehran, Iran
[2] Univ Sci Educ & Res Network USERN, Network Interdisciplinar Neonates & Infants NINI, Tehran, Iran
[3] Alborz Univ Med Sci, Noncommunicable Dis Res Ctr, Karaj, Iran
[4] Mashhad Univ Med Sci, Fac Med, Dept Nutr, Mashhad, Iran
[5] Univ Tehran Med Sci, Publ Hlth Sch, Epidemiol & Biostat Dept, Tehran, Iran
[6] Coventry Univ, Inst Hlth & Wellbeing, Ctr Healthcare & Communities, Coventry, W Midlands, England
[7] Univ Tehran Med Sci, Sch Med, Dept Clin Biochem, Tehran, Iran
[8] Univ Tehran Med Sci, Endocrinol & Metab Mol Cellular Sci Inst, Metab Disorders Res Ctr, Tehran, Iran
关键词
MALAT1; Metabolic syndrome; Obesity; TUG1; Long non-coding RNAs; SMOOTH-MUSCLE-CELL; PROLIFERATION; INFLAMMATION; EXPRESSION; HEALTH;
D O I
10.1007/s40200-023-01367-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 (beta: 0.382; 95% CI: 0.124, 0.640; P = 0.004). Also, there was a significant association between triglyceride (TG) and MALAT1 transcript level (beta: 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 (beta: -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.
引用
收藏
页码:917 / 929
页数:13
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