Publications by authors named "Anjana Ranjit Mohan"

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).

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Background: 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).

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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).

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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.
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The present study investigated the effect of low high-dietary-Advanced Glycation End products-based diets on oral disposition index-(DIo)-a marker of islet β-cell function and cardiometabolic risks factors in 38-overweight and obese Asian Indian-adults (aged 25-45 years with body-mass-index (BMI) ≥23kg/m) through 12-week isocaloric crossover feeding trial. Biochemical-measures included-glucose tolerance test (GTT), Insulin assay (0,30 and 120 min), lipid-profile, serum-adiponectin, serum-AGE and serum-Thiobarbituric acid reactive substances-(TBARS) assessed both at baseline and end of each intervention. Generalised linear models showed that low-dAGE diet significantly improved in oral disposition index [Least Square Mean (SE), +0.

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Context: Recent data from the South Asian subregion have raised concern about the dramatic increase in the prevalence of metabolic diseases, which are influenced by genetic and lifestyle factors.

Objective: The aim of this systematic review was to summarize the contemporary evidence for the effect of gene-lifestyle interactions on metabolic outcomes in this population.

Data Sources: PubMed, Web of Science, and SCOPUS databases were searched up until March 2023 for observational and intervention studies investigating the interaction between genetic variants and lifestyle factors such as diet and physical activity on obesity and type 2 diabetes traits.

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Introduction: Country-specific evidence-based research is crucial for understanding the role of nonnutritive sweeteners (NNS) in managing type 2 diabetes (T2D). The main aim of this study was to explore the effect of replacing sucrose with sucralose in coffee/tea in Asian Indians with type 2 diabetes (T2D).

Methods: This 12-week, parallel-arm randomized controlled trial included 210 participants with T2D, assigned to the intervention group, where sugar/sucrose in coffee or tea was substituted with sucralose, or the control group, where sugar/sucrose was continued.

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Background: The increasing prevalence of diet-related non-communicable diseases (NCDs) in South Asia is concerning, with type 2 diabetes projected to rise to 68%, compared to the global increase of 44%. Encouraging healthy diets requires stronger policies for healthier food environments.

Methods: This study reviewed and assessed food environment policies in Bangladesh, India, Pakistan, and Sri Lanka from 2020 to 2022 using the Healthy Food Environment Policy Index (Food-EPI) and compared them with global best practices.

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Background: More than 90% of gestational diabetes cases are estimated to occur in low-income and middle-income countries (LMICs). Most current guidelines recommend an oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. The OGTT is burdensome, especially in LMICs, resulting in a high proportion of women not being screened.

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Introduction: Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR).

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Hyperglycemia occurring in pregnancy is a growing burden worldwide. It is now standard of care to screen all women during pregnancy, both to detect preexisting diabetes as well as gestational diabetes mellitus (GDM). Traditionally, GDM was diagnosed at 24-28 weeks.

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Aim: We aimed to determine the performance of European prediction models in an Indian population to classify type 1 diabetes(T1D) and type 2 diabetes(T2D).

Methods: We assessed discrimination and calibration of published models of diabetes classification, using retrospective data from electronic medical records of 83309 participants aged 18-50 years living in India. Diabetes type was defined based on C-peptide measurement and early insulin requirement.

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Purpose: This study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian adults and assess the impact of lifestyle modification on the SF-12 of Indian adults with prediabetes.

Methods: To validate the context-specific construct of the SF-12, two-factor confirmatory factor analysis (CFA) was performed using data from 1285 adults residing in Chennai, India, who screened for the Diabetes Community Lifestyle Improvement Program (D-CLIP). D-CLIP was a randomized controlled trial of 578 participants with prediabetes (283 treatment, 293 control), focusing on the effect of lifestyle modifications on the prevention of diabetes.

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Article Synopsis
  • This study investigates the role of plasma lipidomic signatures, particularly lysophosphatidylcholine (LPC) species, as potential biomarkers for adolescent obesity.
  • A cohort of 103 individuals, divided into overweight/obese and normal weight groups, underwent lipidomic profiling over a median follow-up of 7.1 years, revealing significant associations between specific LPC species and BMI.
  • The findings highlight alterations in LPC levels in childhood obesity, suggesting their potential use in identifying metabolic profiles and guiding early preventative interventions.
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Objective: To describe the natural history of diabetes in Indians.

Research Design And Methods: Data are from participants older than 20 years in the Centre for Cardiometabolic Risk Reduction in South Asia longitudinal study. Glycemic states were defined per American Diabetes Association criteria.

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Hypertension is the most important chronic disease risk factor in India. Recent epidemiological studies have reported that hypertension is increasing in India with a more rapid increase in rural and young populations. Fifth National Family Health Survey (NFHS-5) and Indian Council of Medical Research-INDIAB surveys have reported that there are substantial geographic variations in hypertension prevalence with greater prevalence in more developed states and districts of the country.

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Aims: The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures.

Methods: Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1.

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Aims: To examine associations between perceived stress and cardiometabolic risk factors in South Asians with prediabetes and assess whether a diabetes prevention program mitigates the impact of stress on cardiometabolic health.

Methods: We conducted a secondary analysis of the Diabetes Community Lifestyle Improvement Program, a lifestyle modification trial for diabetes prevention in India (n = 564). Indicators for cardiometabolic health (weight, waist circumference, blood pressure, glucose, HbA1c, and lipids) were measured at each visit while perceived stress was assessed via questionnaire at baseline.

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Context: Collaborative care models for depression have been successful in a variety of settings, but their success may differ by patient engagement. We conducted a post-hoc analysis of the INDEPENDENT trial to investigate the role of differential engagement of participants on health outcomes over 3 years.

Settings And Design: INDEPENDENT study was a parallel, single-blinded, randomised clinical trial conducted at four socio-economically diverse clinics in India.

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Article Synopsis
  • Tobacco use, both smoking and smokeless, is common among South Asian adults, with the study focusing on usage patterns in Bangladesh, India, Pakistan, and Sri Lanka, while also examining its effects on smoking cessation and intensity.
  • Data from over 148,000 individuals were analyzed using advanced statistical methods to explore how smokeless tobacco (SLT) use relates to quit attempts and smoking intensity.
  • Findings reveal that Bangladesh has the highest smoking rates, and that men who use SLT are more likely to quit smoking, showing varying smoking and SLT use rates across the four countries examined.
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