Association between Inflammatory Factors, Vitamin D, Long Non-Coding RNAs, MALAT1, and Adiponectin Antisense in Individuals with Metabolic Syndrome.
Creators
- 1. Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
- 2. Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran, Mashhad University of Medical Sciences, Mashhad, Iran.
- 3. Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research Center, Gonabad University of Medical Science, Gonabad, Iran.
- 4. Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
- 5. Iranian UNESCO Center of Excellence for Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
- 6. Brighton & Sussex Medical School, Division of Medical Education, Brighton, UK.
Description
Metabolic syndrome (MetS) is a common clustering of cardiovascular risk factors associated with increased inflammation. Long non-coding RNA (LncRNA) are involved in many of the body's metabolic activities, including inflammation. Vitamin D may play a vital role in preventing metabolic syndrome risk factors. This study aimed to evaluate the status of inflammation and expression of LncRNA and their relationship with serum vitamin D levels in patients with metabolic syndrome.
This cross-sectional study included staff and Mashhad University of Medical Sciences students between 30 and 50 years old who met the International Diabetes Federation criteria for Mets. Total RNA was extracted from both frozen clinical samples using the Trizol reagent.
A total of eighty people were recruited into the two groups, with and without MetS. Inflammatory markers were higher in the individuals in the MetS group, and linear regression showed an inverse association between serum vitamin D and LncRNAs. There was a positive association between inflammatory biomarkers, lipid profiles and Adiponectin Antisense (APQ AS) expression.
APQ AS and MALAT1 levels are positively associated with inflammatory biomarkers and inverse relation between MALAT1 and serum 25 (OH) D concentration.
© 2023 Wiley-VCH GmbH.
Publication Details
Journal article
Funding
Financial Support
Mashhad University of Medical Sciences
Read more
References
Scholarly Citations
MeSH Terms
MeSH (Medical Subject Headings) is the NLM controlled vocabulary for indexing biomedical articles.
Click any term to view its definition and hierarchy.