Linking lncRNA MEG3, RORγt, and IL-17 to immune dysregulation in Hashimoto's thyroiditis: Potential for early diagnosis and monitoring

Abstract

Background

The study focused on Hashimoto's thyroiditis (HT), a chronic autoimmune thyroid disorder that causes inflammation and immune-mediated damage to the thyroid gland. Investigating biomarkers could improve the diagnosis and treatment of HT. This research was conducted to explore the correlation among lncRNA MEG3, RORγt, and IL-17 gene expressions and their possible utility as diagnostic and predictive markers in HT patients.

Methods

The research involved 150 participants split evenly between HT patients and healthy individuals. Various assessments were performed, including histories, physical exams, and lab tests. The transcript levels of lncRNA MEG3, RORγt, and IL-17 were quantified using real-time PCR following RNA extraction from collected blood samples.

Results

Higher levels of lncRNA MEG3, RORγt, and IL-17 gene expressions were indicated in HT patients in comparison with those in the control group. The study found significant positive correlations between lncRNA MEG3 & RORγt, RORγt & IL-17, as well as lncRNA MEG3 & IL-17.

Conclusion

LncRNA MEG3 and IL-17 were identified as predictors of HT. Elevated the levels of these markers were related to the severity of the condition. LncRNA MEG3 contributes to the control of gene expression and immune activities, while IL-17 acts as a proinflammatory cytokine. They show potential as biomarkers for diagnosis and monitoring, but larger, long-term studies with protein-level validation are needed to confirm their clinical value.