Publications by authors named "R R Anjana"
Background & objectives Biobanks are crucial for biomedical research, enabling new treatments and medical advancements. The biobank at the Madras Diabetes Research Foundation (MDRF) aims to gather, process, store, and distribute biospecimens to assist scientific studies. Methods This article details the profile of two cohorts: the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study and the Registry of people with diabetes in India with young age at onset (ICMR-YDR).
View Article and Find Full Text PDFBackground: Understanding environmental correlates of sedentary behaviour (SB) among young people is important as such data can identify approaches to limit sedentary time. This paper estimates associations of parent-reported neighbourhood and adolescent-reported home environments with SB among adolescents aged 11-19 years from 14 countries.
Methods: In the International Physical activity and the Environment Network (IPEN) Adolescent Study (an observational, cross-sectional multi-country study), adolescents wore a triaxial accelerometer for seven days that assessed sedentary time (ST).
Aim: Regular screening of large number of people with diabetes for diabetic retinopathy (DR) with the support of available human resources alone is a global challenge. Digital health innovation is a boon in screening for DR. Multiple artificial intelligence (AI)-based deep learning (DL) algorithms have shown promise for accurate diagnosis of referable DR (RDR).
View Article and Find Full Text PDFPurpose: To compare the efficacy of circumferential gonioscopy-assisted transluminal trabeculotomy (GATT) vs hemi-GATT in primary congenital glaucoma (PCG).
Design: Prospective randomized controlled trial.
Methods: This study included children with PCG having corneal diameters <14 mm and relatively clear cornea.
Article Synopsis
- Studying lipodystrophy genes can help us understand insulin resistance and type 2 diabetes, providing insight into metabolic syndrome and its underlying causes.
- Researchers created a panel of 50 lipodystrophy genes and analyzed their expression in both visceral and subcutaneous fat in individuals with and without metabolic syndrome.
- Results showed that lipodystrophy genes are often downregulated in people with metabolic syndrome, and their expression levels are linked to severity of conditions like type 2 diabetes, indicating these genes play a role in fat metabolism and disease development.