Prevalence, Awareness, Treatment and Control of Diabetes in India From the Countrywide National NCD Monitoring Survey

Prevalence of impaired fasting glucose and associated risk factors among Malaysian adult population: Findings from the National Health and Morbidity Survey (NHMS) 2019

Impaired fasting glucose (IFG) is a condition when a person's blood glucose level is above the normal range, but below the diagnostic cut-off for a formal diagnosis of diabetes mellitus. The objective of this study was to determine the prevalence of IFG among adults aged 18 years and older in Malaysia and its' associated factors. Data were obtained as part of the National Health and Morbidity Survey (NHMS) 2019 [1]. It was a community-based, cross-sectional study that was conducted among a targeted population in both urban and rural areas in all 13 states and 3 federal territories in Malaysia, using a two stage stratified random sampling method. Adults aged 18 years and older with fasting capillary blood glucose (FBG) readings of ≤ 6.9 mmol/L were selected, except those known to have diabetes. IFG was defined according to World Health Organization (WHO) criteria as FBG between 6.1 and 6.9 mmol/L. The data were analyzed using SPSS Version 28.0. A total of 6183 respondents - 2842 men and 3341 women participated in this study. The overall prevalence of IFG was 22.6% (95% CI: 20.4, 24.9). Respondents aged 60 years and older had the highest percentage of IFG at about 30.2% (95% CI: 26.4, 34.4), followed by respondents with hypercholesterolemia at 29.2% (95% CI: 25.2, 33.6) and respondents with hypertension at 27.7% (95% CI: 24.3, 31.4). Multivariate analysis revealed that age of 60 years and above (aOR 1.51, 95% CI: 1.01, 2.06) and marriage (aOR 1.46, 95% CI: 1.16, 1.84) were significantly associated with IFG. The prevalence of IFG among Malaysian adults according to data obtained in 2019 was 22.6%, with an age of 60 and above and married being the associated factors. Policies need to be tailored for more vigorous screening among this group for prompt diagnosis and treatment to prevent complications.

Effects of Naringin and Zinc Treatment on Biochemical, Molecular, and Histological Alterations in Stomach and Pancreatic Tissues of STZ-Induced Diabetic Rats

Diabetes mellitus is a chronic metabolic disorder that affects multiple organs, including the stomach. This research examines the effects of naringin and/or zinc on stomach and pancreatic tissues of streptozotocin-induced diabetic rats. Type 2 diabetes is induced by intraperitoneal injection of nicotinamide and streptozotocin. Three weeks after diabetes induction, rats receive eight weeks of treatment. Malondialdehyde and total antioxidant capacity are estimated colorimetrically. Asprosin and P-selectin levels are assessed via ELISA. Quantitative RT-PCR analysis of nuclear factor kappa B (NF-кB), peroxisome proliferator-activated receptor gamma (PPAR γ), and nuclear factor erythroid 2-related factor 2 (Nrf-2) genes is carried out. Tumor necrosis factor-alpha (TNF-α) is assessed immunohistochemically, and stomach and pancreatic tissues are examined histologically. Combined naringin and zinc treatment significantly reduces gastric Malondialdehyde, serum asprosin, and P-selectin levels in serum, stomach, and pancreas compared to diabetic rats. Additionally, gastric NF-кB expression is significantly lower, while PPAR γ and Nrf-2 expressions are significantly higher compared to diabetic rats. Immunohistochemical analysis and histopathological examination confirm these findings. In conclusion, combined naringin and zinc treatment significantly improves gastric alterations in diabetic rats by reducing oxidative stress and inflammation. Nonetheless, it shows no additional impacts on pancreatic tissue compared to naringin or zinc alone.

Exploring the future of nutrigenomics: dietitians' perceptions on integration in Indian practice

BACKGROUND

Nutrigenomics, the study of nutrient-gene interactions, holds immense potential for alleviating India's overburdened healthcare system and improving overall health-related quality of life. Yet, its utility remains in the nascent stages. To understand the factors affecting the implementation of nutrigenomics, we investigate the perceptions of practising dietetic professionals.

OBJECTIVE

The purpose of this study was to investigate the perceptions of Indian dietetic professionals related to the implementation of Nutrigenomics and to understand the factors affecting it.

METHODS

A total of 249 Indian dietetic professionals participated in an online survey between April 2024 - May 2024. This data was then statistically analyzed using the Chi-square test and Fisher's Exact test. Furthermore, in-depth interviews were conducted for 10 out of the 249 participants, the data collected from the interviews were analysed using reflexive thematic analysis.

RESULTS

Majority of the dietetic professionals had high awareness (97.2%) and interest (87.5%) in incorporating genetic testing into their practice. While the survey identified several barriers to its integration, such as high costs, (p-value = 0.000), lack of clinical trials (p-value = 0.013), and ethical concerns (p-value = 0.023). The in-depth interviews highlighted the need for increased education, standardization of testing panels, and collaboration among healthcare professionals to enhance the feasibility of nutrigenomics integration.

CONCLUSION

Indian dietetic professionals express a positive outlook on integrating nutrigenomics into mainstream healthcare practice. However, successful establishment of personalized nutrition in India also requires addressing key challenges with respect to education, cost, training, development of regulatory frameworks and raising public awareness.

Association between triglyceride-glucose index and its combination with obesity indicators and depression: findings from NHANES 2005-2020

Background

The relationship between the triglyceride-glucose (TyG) index, its combination with obesity indicators, and depression remains understudied in the American population.

Methods

This cross-sectional study analyzed data from 10,423 adults in the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2020. We employed multivariable logistic regression analysis, smoothing techniques, generalized additive models, stratified analyses, and sensitivity analyses to examine the relationship between TyG, its combination (TyG-WC, TyG-WHtR, TyG-BMI) with obesity indicators, and depression.

Results

The results indicate that the TyG index, TyG-WC, TyG-WHtR, TyG-BMI, and depression exhibited a significant statistical association with depressive symptoms (all P for trend < 0.001). Specifically, a one-unit increase in the TyG index correlated with a 37% increase in the risk of depressive symptoms (95% CI: 1.21-1.55), a one-unit increase in TyG-WC correlated with a 3.26 times increase in the risk of depressive symptoms (95% CI: 2.22-4.80), a one-unit increase in TyG-WHtR correlated with a 27% increase in the risk of depressive symptoms (95% CI: 1.18-1.36), and a one-unit increase in TyG-BMI correlated with a 2.30 times increase in the risk of depressive symptoms (95% CI: 1.72-3.08). There was a significant nonlinear correlation between TyG-WC, TyG-WHtR, and TyG-BMI with depressive symptoms (all P for nonlinearity < 0.001), except for a linear correlation between the TyG index and depressive symptoms (P for linearity < 0.001).

Conclusion

Monitoring the TyG index, TyG-WC, TyG-WHtR, TyG-BMI may facilitate depression risk assessment and prevention.

Descriptive Analysis of Anatomical Location and Metabolic and Microbiological Factors in Diabetic Foot (DF) Treated at a DF Specialty Tertiary Care Hospital With a Multidisciplinary Approach

Background and aims The outcome of a diabetic foot ulcer (DFU) may be affected by many factors, including the clinical anatomy of the ulcer, metabolic control, the presence of complications, and infections. This study evaluates the effect of metabolic factors, the clinical anatomy of the ulcer at presentation, and antibiotic appropriateness on treatment outcomes in terms of amputation in patients with diabetic foot (DF). Materials and methods This is a cross-sectional observational study involving data collected from patients with IPD diagnosed with type 2 diabetes mellitus and DFU at a tertiary care DF specialty hospital in Maharashtra, India. Results Data from a total of 106 patients were included for analysis. Fifty-two patients healed without amputation while 54 underwent either minor or major amputation. Patients who did not require amputation had a statistically significant higher incidence of cellulitis, ulcers at the heel and lateral malleolus, and ulcers classified as Wagner grade 1 or 2. In contrast, factors significantly associated with amputation included lower weight and BMI, multiple ulcers at presentation, ulcers involving the second, third, fourth, or fifth toe, midfoot, or medial malleolus, ulcers graded 3, 4, or 5, and additional surgery performed during the same hospital admission. The most commonly collected specimen was pus, followed by tissue and bone. The most frequently isolated microorganisms were Escherichia (E.) coli and Klebsiella. All microorganisms were sensitive to Piperacillin-Tazobactam and matched the initially prescribed antibiotic, which was chosen as per the hospital antibiogram. Angiotensin-converting enzyme inhibitors (ACE-I)/angiotensin receptor blockers (ARBs) were prescribed more frequently in the non-amputation group while insulin use was higher in the amputation group, although there was no significant difference in the use of metabolic drugs between the two groups. Conclusion The anatomical location of the wound, advanced grade, number of ulcers, additional procedures, nutritional status, and the presence of Coagulase-negative Staphylococcus aureus in tissue are significant predictors of amputation.

Assessment of the Awareness of Risk Factors and Current Behavior Among Individuals With Type 2 Diabetes Mellitus in India: A Cross-Sectional Study

Background The burden of type 2 diabetes mellitus (T2D) is compounded by serious complications, including cardiovascular and microvascular diseases, with significant healthcare costs associated with these complications. Engaging in self-care practices can enhance glycemic control and empower individuals to make informed health decisions. The present study aims to assess the existing levels of awareness and understanding of diabetes, focusing on the perception of its risk factors and associated complications. Methodology This prospective, cross-sectional study involved 2,468 individuals with T2DM recruited from 26 sites across India. Data underwent aggregate-level analysis using Python and were assessed for statistical significance using the chi-square test. Continuous variables (means and standard deviations) were analyzed, and differences among groups were evaluated using analysis of variance. To assess the understanding of diabetes, including its symptoms and complications, all knowledge-related questions were aggregated into a composite score. Participants were categorized into three groups (high, medium, and low) based on their knowledge levels. The participant's variables across five dimensions, namely, diabetes causes and symptoms, medication usage, diet and lifestyle, hypoglycemia, and complications from diabetes, were assessed. The highest achievable score was 26, while the lowest was 0. Based on the knowledge score, individuals were classified into the following three groups: high for participants who scored 80% or more correct answers (score >20); medium for those scoring between 40% and 80% (score between 11 and 20); and low for participants with a score between 0 and 10, indicating fewer than 40% correct responses. Results The average participant age was 54.1 years, with a male-to-female ratio of 60:40. The average hemoglobin A1c level was 8.2%, with 629 (28%) maintaining levels within the target range (≤7%), and 497 (22%) having levels above 9%. Overall, 655 (26.50%) individuals were classified as high knowledge, 1,179 (47.77%) as medium knowledge, and 634 (25.68%) as low knowledge. Scores were 22.4 (1.2) for high knowledge, 15.9 (2.9) for medium, and 6.2 (3.0) for low. Diabetic complications were significantly higher in the high-knowledge group. Adherence to diabetes medication was higher in the high (509 (78.5%)) and medium (917 (81.6%)) knowledge groups (p < 0.001) compared to the low (363 (60.3%)) knowledge group. Participants with high and medium knowledge levels demonstrated significantly greater ownership and use of glucometers compared to those with lower knowledge levels. Conclusions Individuals with T2DM who experience complications tend to have a greater understanding of diabetes and its risk factors than those without complications. This suggests that facing health issues motivates individuals to seek information, improving their knowledge and influencing better medication adherence and lifestyle choices. The findings of this study, coupled with existing data, underscore the urgent need for innovative approaches to engage and motivate individuals through targeted educational initiatives, comprehensive counseling, regular monitoring, and strategies to improve adherence to recommended diabetes management practices.

Short-term impact of bariatric surgery on the dietary intake of patients with type 2 diabetes

BACKGROUND

The prevalence of overweight and obesity and an unhealthy diet and lifestyle are the key causes of rising diabetes burden in India. Bariatric surgery is gaining popularity in India as a favored approach to manage obesity and its accompanying comorbidities. Despite this, there is a scarcity of Indian studies evaluating dietary intake. Our goal was to analyse the dietary intake of Indian patients with type 2 diabetes mellitus (T2DM) who have undergone laparoscopic sleeve gastrectomy (LSG) or duodeno-jejunal bypass with sleeve gastrectomy (DJB-SG) or surgeries.

METHODS

The longitudinal observational study included 64 T2DM patients (32 in each procedure) enrolled through purposive sampling. The patients underwent surgery (LSG or DJB-SG procedure) between January 2017 and July 2019. Dietary data was collected at baseline and postsurgery (12 months) using a 24-h dietary recall method for 2 days (one working and one holiday).

RESULTS

The total sample consisted of 27 (42.2%) females and 37 (57.8%) males. The mean age was 46.8 years. At 12 months, the follow-up for the LSG and DJB-SG procedures was 100% and 78%, respectively. In the short term, a significant reduction was seen in weight, body mass index and haemoglobin A1C (HbA1C) in both surgical groups. The two procedures were comparable with respect to weight loss but improvement in glycaemia was higher in the DJB-SG group. The dietary intake (food groups and nutrients) was similar in the two surgical groups at baseline and 12 months postsurgery. Dietary intake assessment showed significant reduction in calorie dense foods (cereals, roots and tubers, fats and oils, table sugar, and biscuits) in both surgical groups. Among nutrients, intake of energy, fats, carbohydrates, dietary fibre, thiamine, riboflavin, niacin, folate and iron were reduced significantly in both procedures. Vitamin D (84.4% patients in LSG group and 81.3% patients in DJB-SG) and iron (62.5% patients in LSG group and 68.8% patients in DJB-SG) were commonly prevalent nutritional deficiencies at baseline and were significantly reduced at 12 months.

CONCLUSIONS

In the short term, bariatric surgery resulted in weight loss and improvement in glycaemia. Bariatric surgery does significantly affect dietary intake leading to nutritional deficiencies. Therefore, patients should be recommended vitamin and mineral supplements and regular patient education and counselling by a trained bariatric dietitian to prevent nutritional deficiencies and maintain nutritional status.

Distress and coping mechanisms among people with diabetes: cross-sectional assessment from an NCD screening clinic of a tertiary care hospital in North India

BACKGROUND

Of the numerous complications encountered by people with diabetes (PWD), the effect on mental health is concerning. Within mental health, diabetes distress (DD) occurs when a patient has unfavourable emotional stress while managing their condition, which can be managed by coping strategies but are less studied together in Indian settings. So, the present study aimed to determine the proportion of DD and associated factors and coping skills among the PWD.

METHODS

Cross-sectional study was conducted among 596 clinically stable, ambulatory PWD visiting the NCD clinic of a tertiary care centre in North India between June 2023 and January 2024 and recruited using a systematic random sampling technique. DD was the primary dependent variable assessed using the Hindi version of the Diabetes Distress Scale (DDS). Coping was assessed using a GlucoCoper scale. Independent variables included socio-demographic and clinic history variables. Bivariate analysis described the sample characteristics. Multivariable binary logistic regression analysis explored the factors affecting the DD. The study was ethically approved, and written informed consent was obtained from the patients.

RESULTS

Of the 596 study participants, 17.4% depicted uncontrolled diabetes, while 18.1% PWD experienced moderate to severe DD, with emotional distress depicting the highest prevalence (23.8%). Significantly increased odds of living with DD in professionals compared to Clerical, shop-owners, farmers with less monthly average income (vs. the group with unstable income), tobacco users, and those with uncontrolled disease. Overall, scores for negative coping were higher than positive coping, with significant differences between the two types among the participants with DD.

CONCLUSIONS

The study underscores the complex interplay between diabetes control, distress, and coping mechanisms in patients attending an NCD screening clinic. The findings highlight the need for a holistic approach to diabetes management that addresses not only the physical aspects but also patients' emotional and psychological well-being.

Improving Clinical Preparedness: Community Health Nurses and Early Hypoglycemia Prediction in Type 2 Diabetes Using Hybrid Machine Learning Techniques

OBJECTIVES

The aim of the study was to analyze the data of diabetic patients regarding warning signs of hypoglycemia to predict it at an early stage using various novel machine learning (ML) algorithms. Individual interviews with diabetic patients were conducted over 6 months to acquire information regarding their experience with hypoglycemic episodes.

DESIGN

This information included warning signs of hypoglycemia, such as incoherent speech, exhaustion, weakness, and other clinically relevant cases of low blood sugar. Researchers used supervised, unsupervised, and hybrid techniques. In supervised techniques, researchers applied regression, while in hybrid classification ML techniques were used. In a 5-fold cross-validation approach, the prediction performance of seven models was examined using the area under the receiver operating characteristic curve (AUROC). We analyzed the data of 290 diabetic patients with low blood sugar episodes.

RESULTS

Our investigation discovered that gradient boosting and neural networks performed better in regression, with accuracies of 0.416 and 0.417, respectively. In classification models, gradient boosting, AdaBoost, and random forest performed better overall, with AUC scores of 0.821, 0.814, and 0.821, individually. Precision values were 0.779, 0.775, and 0.776 for gradient boosting, AdaBoost, and random forest, respectively.

CONCLUSION

AdaBoost and Gradient Boosting models, in particular, outperformed all others in predicting the probability of clinically severe hypoglycemia. These techniques enable community health nurses to predict hypoglycemia at an early stage and provide the necessary therapies to patients to prevent complications resulting from hypoglycemia.

Prevalence and Predictors of Diabetic Peripheral Neuropathy in Newly Diagnosed Type 2 Diabetes Mellitus Patients

AIM

The present study aimed to determine the prevalence and predictors of DPN in newly diagnosed T2DM patients.

BACKGROUND

Diabetic Peripheral Neuropathy (DPN) is the most common and debilitating complication of Type 2 Diabetes Mellitus (T2DM).

METHODS

Newly diagnosed T2DM patients visiting the outpatient department were recruited. Detailed demographic parameters, histories, physical examinations, and biochemical investigations were carried out. Patients were screened for DPN using the Diabetic Neuropathy Symptom (DNS) score, the revised Disability Neuropathy Score (NDS), Vibration Perception Threshold (VPT) using a biosthesiometer, and the 10 g SW Monofilament Test (MFT).

RESULTS

A total of 350 newly diagnosed T2DM patients (mean age 46.4±13.6 years) were included. The prevalence of DPN was found to be 34% using the combined DNS and NDS scores. VPT was moderately impaired in 18.3% and severely impaired in 12% patients, while MFT revealed a loss of protective sensation in 35.4% patients. After logistic regression analysis, DPN was significantly associated with increasing age (OR 1.08, 95%CI 1.06-1.11), increasing HbA1C levels (OR 1.23, 95%CI 1.05-1.42), increasing TSH levels (OR 1.23, 95%CI 1.05-1.44), presence of hypertension (OR 2.78, 95%CI 1.51-5.11), and reduced BMI (OR 0.9, 95%CI 0.84- 0.99). The sensitivity and specificity of detecting DPN by combining VPT and MFT were 91.6% and 84.2%, respectively.

CONCLUSION

The prevalence of DPN was high even in newly diagnosed T2DM and associated significantly with increasing age, HbA1C levels, TSH levels, hypertension, and reduced BMI. Earlier screening for DPN, along with aggressive control of glycemia, blood pressure, and hypothyroidism, may be beneficial.

Association between dietary fiber intake and chronic kidney disease in adults with and without hypertension in the United States: a cross-sectional study of NHANES 2009-2020

While previous research has highlighted the potential advantages of increasing dietary fiber intake (DFI) for managing hypertension and chronic kidney disease (CKD), there is a gap in large-scale empirical studies examining the relationship between DFI and CKD among hypertensive and nonhypertensive cohorts independently. This study involved 22,871 participants sourced from the NHANES database spanning 2009 to 2020, who were divided into hypertensive (n = 9,861) and nonhypertensive (n = 13,010) groups. The analysis revealed a significant inverse correlation between DFI and CKD prevalence across the sample after adjusting for various covariates (OR = 0.98, 95% CI: 0.97-0.99, p = 0.001). Within the subset of hypertensive individuals, this inverse association mirrors the findings of the overall sample, indicating that a higher DFI was associated with a reduced occurrence of CKD (OR = 0.97, 95% CI: 0.96-0.99, p < 0.001). However, this correlation was not detected in the nonhypertensive group (OR = 0.99, 95% CI: 0.98-1.01, p = 0.285). The RCS analysis further confirmed a pronounced nonlinear inverse relationship between DFI and CKD prevalence in both the entire cohort and the hypertensive group but not in the nonhypertensive group. Further scrutiny of the hypertensive group revealed that individuals with a higher DFI had 33% lower odds of CKD progression for the moderate risk level and 36% lower odds for the high to very high risk level. Subgroup analyses confirmed the consistency of these relationships across various demographics. In summary, this investigation revealed a significant inverse relationship between DFI and CKD prevalence in US adults with hypertension, a relationship not observed in nonhypertensive individuals.

A Cross-Sectional Study of Non-communicable Disease Risk Factors Among Non-diabetic and Non-hypertensive Population

INTRODUCTION

Noncommunicable diseases, especially diabetes and hypertension, have emerged as significant public health challenges. Regular screening, even among healthy individuals, is essential for early diagnosis and prevention of complications.

METHODS

This cross-sectional study was conducted in an urban ward of the Sangli-Miraj-Kupwad municipal corporation in Maharashtra, India, and cluster random sampling was used to collect data. A total of 430 participants aged 10 years and older were enrolled in the study. The institutional committee approved the study, and all guidelines, including consent and confidentiality, were strictly followed throughout the research. Data collection employed the World Health Organization (WHO) Stepwise approach to surveillance (STEPS) instrument. Descriptive statistics, such as percentage, mean, and standard deviation, were used to summarize the distribution of important variables in the study population. Inferential statistical tests, including unpaired t-tests and analysis of variance (ANOVA), were applied to compare mean blood pressure and blood sugar levels among participants with differing characteristics. Logistic regression was utilized to identify the best predictors for elevated blood pressure and blood sugar levels.

RESULTS

Out of the 430 participants, 366 (85.1%) exhibited risk factors for non-communicable diseases. Elevated blood pressure and blood sugar levels were noted in 220 (51.2%) and 194 (45.1%) subjects, respectively. Age and average systolic blood pressure were the best predictors for random blood sugar levels, while age, lifestyle-related risk factors, religion, overweight, and random blood sugar levels were the best predictors for systolic blood pressure. Marital status and random blood sugar levels were the best predictors for diastolic blood pressure.

CONCLUSION

Our findings highlight that a substantial proportion of apparently healthy people have elevated blood pressure and blood sugar levels. Hence, regular screening from a young age is recommended.

Rising trends of diabetes in South Asia: A systematic review and meta-analysis

BACKGROUND

South Asians are known for their increased predisposition for type 2 diabetes (T2D). We describe the most recent prevalence and trends of diabetes, prediabetes, and undiagnosed diabetes in South Asia based on surveys conducted from 2000 to 2024.

METHODS

A comprehensive search was conducted in PubMed, Web of Science and Scopus databases for population-based studies describing diabetes/prediabetes prevalence. Including STEPS surveys, 7261 records were screened for eligibility, of which 89 were included in this analysis. Prevalences and trends of diabetes, undiagnosed diabetes and prediabetes were analysed by country, making male/female and urban/rural comparisons.

RESULTS

Prevalence of diabetes in South Asia has increased from 11.29 % in 2000-2004 to 22.30 % in 2020-2024. Sri Lanka and Pakistan have demonstrated a steep rise in diabetes over the two decades. India and Bangladesh, have also shown a rise in prevalence from 2.5 % (2015-16) to 8.1 % (2019-21) and 5.5 % (2006) to 8.3 % (2018), respectively. Diabetes prevalence among males was higher. Urban prevalence was higher than rural throughout the region, with both sectors showing a rising trend. Prediabetes followed a similar pattern. Despite the high burden, a large proportion remained undiagnosed, being as high as 17.5 % in Delhi, India (2010-11).

CONCLUSION

Pooled prevalences show a rising burden of diabetes over the past decade, with a considerable proportion being undiagnosed, in South Asia. Urban prevalence is higher than rural prevalence throughout the region. Prediabetes also shows a similar rising trend, with a notable proportion o being undiagnosed, alerting the need for coordinated efforts for early diagnosis, and prevention.

Digital Health Solutions for Community-Based Control of Diabetes During COVID-19 Pandemic: A Scoping Review of Implementation Outcomes

BACKGROUND

The COVID-19 pandemic has added to the pre-existing challenges of diabetes management in many countries. It has accelerated the wider use of digital health solutions which have tremendous potential to improve health outcomes for people with diabetes. However, little is known about the attributes and the implementation of these solutions.

OBJECTIVE

To identify and describe digital health solutions for community-based diabetes management and to highlight their key implementation outcomes.

METHODS

We searched Ovid Medline, CINAHL, Embase, PsycINFO, and Web of Science for relevant articles. A purposive search was also used to identify grey literature. Articles that described digital health solutions that aimed to improve community-based diabetes management were included in this review. We applied a thematic synthesis of evidence to describe the characteristics of digital health solutions, and to summarize their key implementation outcomes.

RESULTS

We included 15 articles that reported digital health solutions that primarily focused on community-based diabetes management. Nine of the 15 innovations involved were mobile applications and/or web-based platforms, and five were based on social media platforms. The majority of the digital health solutions were used for diabetes education and support. High engagement, utilization, and satisfaction rates with digital health solutions were observed. The use of digital health solutions was also associated with improvement in self-management, taking medication, and reduction in glycated hemoglobin (HbA1c) levels.

CONCLUSION

COVID-19 triggered digital health solutions have tremendous potential to improve health outcomes for people with diabetes. Further studies are needed to evaluate the sustainability and scale-up of these solutions.

Risk Prediction of high blood glucose among women (15-49 years) and men (15-54 years) in India: An analysis from National Family Health Survey-5 (2019-21)

Context

Approximately 500 million individuals worldwide are known to have diabetes, representing roughly 1 out of every 11 adults in the world. Approximately 45.8% of adult diabetes cases are believed to be undiagnosed.

Aim

This study aimed to identify the predictors for high blood glucose and to develop a risk score which helps in early detection of high blood glucose among Indian men (15-54 years) and women (15-49 years).

Methods and Material

This study utilised data from the National Family Health Survey-5, which were gathered between 2019 and 2021. The study population comprises women aged 15-49 years and men aged 15-54 years in India.

Statistical Analysis Used

A logistic regression analysis was conducted to determine the predictors of high blood glucose. The results were expressed as odds ratios with 95% confidence intervals. The risk score for high blood glucose was derived through variable shrinking and by employing regression coefficients obtained from the standard logistic regression model. Data were analysed using IBM SPSS version 26.

Results

The prevalence of high blood glucose in India was 9.3%. The study findings indicated an association between age and the occurrence of high blood glucose levels. The prevalence of high blood glucose was higher among males (11.1% vs 7.5%), individuals living in urban areas (10.7% vs 8.9%), those with a waist circumference exceeding the specified limit (11.7% vs 5.9%), and individuals who were overweight or obese (11.3%). The prevalence of high blood glucose was higher among alcoholics (13.2% vs 8.8%) and various forms of tobacco users (12.1% vs 8.4%).

Conclusions

Age, sex, place of residence (urban), consumption of alcohol, hypertension, and waist circumference were found to be the significant predictor variables and were used to develop the risk prediction score using the logistic regression model.

Prevalence and risk factors associated with undiagnosed hypertension among adults aged 15-49 years in India: insights from the National Family Health Survey (NFHS-5)

OBJECTIVES

To estimate the prevalence and identify the factors associated with undiagnosed hypertension in India.

STUDY DESIGN

A secondary data analysis using the National Family Health Survey (NFHS-5) covering the period 2019-2021.

METHODS

Information on hypertension among individuals aged 15-49 years was extracted from the survey dataset. We estimated the prevalence of undiagnosed hypertension using physical measurements along with self-reported data from the survey. A log-binomial model with survey-adjusted Poisson regression was used to estimate the prevalence ratio between undiagnosed and diagnosed hypertension. Multinomial logistic regression analysis examined the factors associated with diagnosed hypertension (vs healthy) and undiagnosed hypertension (vs healthy). All the analyses were survey-weight adjusted and stratified by gender.

RESULTS

The survey-adjusted prevalence of undiagnosed hypertension was 8.75% (8.62%-8.87%) and was higher among males [13.56% (13.03%-14.12%)] than in females [8.14% (8.03%-8.25%)]. The proportion of individuals with undiagnosed hypertension among total hypertension was 44.99% (44.44%-45.55%) and was higher in males [65.94% (64.25%-67.60%)] than in females [42.18% (41.66%-42.71%)].

CONCLUSIONS

Our findings revealed that age, higher body mass index, no access to health care, and having no comorbidities were risk factors for undiagnosed hypertension. One in twelve people had undiagnosed hypertension, and of those with hypertension, one in two were undiagnosed, with males being disproportionately affected. Targeted public health interventions are crucial to improve hypertension screening, particularly among middle-aged and obese individuals without comorbidities.

Time trends and advances in the management of global, regional, and national diabetes in adolescents and young adults aged 10-24 years, 1990-2021: analysis for the global burden of disease study 2021

BACKGROUND

Estimation of global diabetes burden in adolescents and young adults (10-24 years) from 1990 to 2021.

METHODS

Data were extracted from the 2021 Global Burden of Disease Study. Joinpoint regression analysis was employed to examine trends over the past 30 years, frontier analysis identified regions with potential for improvement, and the slope index of inequality and the relative concentration index were used to assess health inequalities.

RESULTS

From 1990 to 2021, the age-standardized prevalence rates (ASPR) and age-standardized disability-adjusted life years rates (ASDR) of diabetes in adolescents and young adults increased globally, while age-standardized death rates (ASMR) remained stable. Oceania bore the highest burden regionally, East Asia experienced the fastest rise in ASPR and ASDR, and High-income Asia Pacific saw the most significant decrease in ASMR. Among 204 countries, Marshall Island and Hait reported the highest ASPR, ASDR, and ASMR in 2021. Health inequality analysis confirmed that the burden was concentrated in countries with lower Socio-Demographic Index (SDI). Frontier analysis showed that ASMR and ASDR were negatively correlated with SDI, with Yemen and Honduras, which have lower socio-demographic indices, exhibiting more smaller overall differences from frontier boundaries.

CONCLUSIONS

The analysis revealed a sharp increase in the global ASPR and ASDR of diabetes in adolescents and young adults. Additionally, the disease burden is typically concentrated in countries with lower SDI, highlighting an urgent need for governments to develop flexible health policies to mitigate the escalating threat of diabetes in this demographic.

Benchmarking Point-of-Care Glucometers: A Comparative Study Using the Hexokinase Test and International Organization for Standardization (ISO) Standards

Introduction The International Diabetes Federation states that India accounts for one in seven of all adults with diabetes. Adherence to self-monitoring of blood glucose is essential for effective management of diabetes. Despite the wide variety of glucometers and their clinical applicability, there is a lot of ambiguity regarding their accuracy. Therefore, this study aimed to evaluate if three point-of-care glucometers using three different methods for the estimation of blood glucose fulfil the minimum accuracy needed by ISO15197:2013 when compared with the gold standard hexokinase test. Methods A cross-sectional study was conducted at two primary health care centers in Ernakulam district, which included 73 participants with diabetes and 73 without diabetes. We evaluated three different enzymes in the test glucometers: glucose dehydrogenase with pyrroloquinoline quinone (GDH-PQQ), glucose dehydrogenase with flavin adenine dinucleotide (GDH-FAD), and glucose oxidase (GOD). The glucometer readings were compared with the gold standard hexokinase test and ISO15197:2013 standards. To compare the accuracy of each glucometer with the reference method, the Bland-Altman plot was used and to evaluate the clinical significance of the differences between the glucometer and reference value the Clarke error grid analysis was performed. Results When compared with the gold standard hexokinase result, only 78.08% (GOD), 92.4% (GDH-PQQ), and 95.8 (GDH-FAD) of results were within the limits stipulated by ISO15197:2013. All three glucometers showed blood glucose results within zones A and B of the consensus error grid, implying that it is clinically acceptable, and the Bland-Altman plot showed that the GDH-FAD method had the narrowest range between the upper and lower limit of agreement and a minimum bias of -0.89. Conclusion Only one test glucometer with the GDH-FAD method met the ISO15197:2013 criteria. Glucometers must meet the accuracy standards for the safety of the patients.

Diabetic Patients: Why Stop Sugar?

Diet plays an important role in the complete management of type 1 and type 2 diabetes. The aim of nutritional management of diabetes is to optimize glycemic control, help in achieving ideal body weight, and correct any lipid abnormalities to reduce the risk of long-term complications. However, there are varied and many unscientific beliefs about diet among patients with diabetes as well as in physicians, which very often makes nutritional management challenging. The most common misconception is that patients with diabetes should not consume sugar at all. The taste of food plays an important role in food choices, eating behaviors, food intake, and associated satisfaction. The more distant a recommended change is from the person's actual eating habits, the more difficult it will be to achieve long-term compliance to the recommended change. It is important to provide therefore achievable and sustainable dietary modifications that will encourage people to adopt healthier food choices without compromising their taste preferences. Special attention needs to be given to the nutrition intake in gestational diabetes mellitus. Consensus guidelines have recommended a low glycemic index, high fiber, and protein diet in gestational diabetes mellitus. Alcohol intake in nonpregnant women and supplements rich in micronutrients are both key considerations. There is clearly a need for conducting educational programs for physicians as well as patients to dispel misconceptions regarding the consumption of carbohydrates, especially added sugar, in patients with diabetes. The focus should be on balancing the calorie intake rather than placing unnecessary and inappropriate restrictions.

Dual effects of dulaglutide on glycemic control and knee osteoarthritis pain in elderly patients with Type 2 diabetes

Aim: This study aims to evaluate the dual benefits of dulaglutide in improving glycemic control and reducing knee OA pain.Patients & methods: Elderly T2DM patients diagnosed with bilateral knee OA on conventional OA treatment for at least 3 months were studied for their glycemic metrics, OA pain scores and NSAID consumption at baseline, 3 months and 6 months.Results: Significant improvements in glycemic control were observed, HbA1c decreased from 8.7% to 6.5% over 6 months. Pain scores, NSAID, body weight and BMI showed substantial reductions over time. Positive correlation (r = 0.73, p < 0.001) was found between glycemic control and pain reduction.Conclusion: Dulaglutide improves glycemic control, knee joint OA pain and weight management in elderly patients with T2DM.

Elevated risk of pre-diabetes and diabetes in people with past history of COVID-19 in northeastern Nigeria

BACKGROUND

An increased risk of diabetes mellitus (DM) after COVID-19 has been reported in the United States, Europe, and Asia. The burden of COVID-related DM has yet to be described in Africa, where the overall risk of DM has been increasing rapidly. Our objective was to compare the prevalence of pre-DM and DM in Nigerian individuals with a history of COVID-19 to individuals without known COVID-19 infection.

METHODS

We undertook a retrospective cohort study with 256 individuals with a past medical history of COVID-19 with no history of pre-DM or DM and 256 individuals without a history of COVID-19 or pre-DM/DM. Participants were categorized as pre-DM (fasting capillary glucose 100-125 mg/dL) or DM (fasting capillary glucose ≥ 126 mg/dL). We employed univariate and multivariable logistic regression to identify key predictors and adjust for confounders related to hyperglycaemia risk factors. Additionally, we used multinomial logistic regression to analyze the relationship between COVID-19 history and diabetes status, distinguishing between normal, pre-diabetic, and diabetic glucose levels. All models were adjusted for age, gender, hypertension, physical activity, central adiposity, and family history of DM.

RESULTS

Compared to the control group, those with a history of COVID-19 had a similar median age (38 vs. 40 years, p = 0.84), had a higher proportion of men (63% vs. 49%), and had a lower prevalence of central adiposity (waist: hip ratio ≥ 0.90 for males and WHR ≥ 0.85 for females) (48% vs. 56.3%, p = 0.06). Of the 256 with a history of COVID-19, 44 (17%) required in-patient care. The median (interquartile range) time interval between COVID-19 diagnosis and the glycaemic assessment was 19 (IQR: 14, 24) months. Pre-DM prevalence was 27% in the post-COVID-19 group and 4% in the control group, whereas the prevalence of DM was 7% in the post-COVID-19 group and 2% in the control group. After multivariable adjustment, the odds of pre-DM were 8.12 (95% confidence interval (CI): 3.98, 16.58; p < 0.001) higher, and the odds of DM were 3.97 (95% CI: 1.16, 13.63) higher in those with a history of COVID-19 compared to controls. In the adjusted multinomial logistic regression analysis, individuals with a history of COVID-19 exhibited significantly elevated risks for pre-diabetes (RRR = 7.55, 95% CI: 3.76-15.17) and diabetes (RRR = 3.44, 95% CI: 1.01-11.71) compared to those without COVID-19.

CONCLUSION

Previous COVID-19 was found to be a risk factor for prevalent pre-diabetes and diabetes mellitus in Nigeria. More intensive screening for DM in those with a history of COVID-19 should be considered.

Assessment of burden of prediabetes and diabetes with oral glucose tolerance test in community-based settings of Bengaluru rural district

Background and Objectives

Diabetes is a major public health concern in India. The majority of studies done in rural population lack systematic methodology in estimating the prevalence of diabetes mellitus. Objectives of this study were to estimate the burden of prediabetes, type 2 diabetes mellitus and its associated risk factors among adults (18-69) years in rural Bengaluru, Karnataka.

Methods

A cross-sectional study was conducted among adults aged 18-69 years in three villages of Devanahalli taluk of rural Bengaluru between May and October 2019. Behavioural and metabolic risk factors related to diabetes were assessed using WHO-STEPS instrument and IDSP-NCD risk factor tool. Fasting blood glucose and OGTT test were performed, and WHO diagnostic criteria were used to diagnose diabetes mellitus.

Results

Prevalence of prediabetes and type 2 diabetes (T2DM) in rural Bengaluru was found to be 6.3% and 10.9%, respectively. Behavioural risk factors related to diabetes measured in the study population were current tobacco use (32.7%), current alcohol use (9.9%), physical inactivity (46.8%) and unhealthy diet (82.3%). Metabolic risk factors measured were obesity (7.5%), central obesity (46.4%), prediabetes (6.3%) and hypertension (24.3%). More than one-thirds of diabetes and three-fourths of hypertension individuals were newly diagnosed by the population-based screening.

Conclusion

The burden of diabetes and its risk factors are high due to the health transition occurring in rural population of Bengaluru. Undiagnosed diabetes mellitus and hypertension in rural population as demonstrated by this study highlight the need to strengthen the population-based screening and diagnosis of T2DM and hypertension (HTN) under the national health programme.

Association of dietary niacin intake with all-cause and cardiovascular mortality of adult patients with chronic kidney disease in the United States: results from NHANES 1999-2018

Objective

The relationship between dietary niacin intake (DNI) and mortality rates among patients afflicted with chronic kidney disease (CKD) is a subject of debate. Utilizing data derived from the National Health and Nutrition Examination Survey (NHANES), this study adopts a retrospective cohort design with an aim to investigate the association in the American adult patients with CKD.

Methods

A cohort study was conducted in the National Health and Nutrition Examination Survey (NHANES) between 2009 and 2018 that enrolled 6,191 CKD patients aged 20 years and above. We collected data on mortality through 31 December 2018. DNI was measured using a 24-h recall method. The relationship between DNI levels and mortality from all causes and cardiovascular causes was analyzed using weighted Cox proportional hazards models. The Kaplan-Meier (K-M) survival curve was plotted to illustrate these associations.

Results

Following a median monitoring period of 85 months, it was observed that 2,419 individuals (33.08%) succumbed to all causes, whereas cardiovascular-related deaths were recorded for 746 participants (10.45%). When controlling for confounders, an inverse relationship was established between DNI and mortality rates. Specifically, a marginal increase of 1 mg/day in DNI corresponded to a reduced Hazard Ratios (HRs) of 0.993 (0.987, 0.999; p = 0.027) for all-cause mortality and 0.980 (0.969, 0.991; p < 0.001) for cardiovascular mortality. A further stratified analysis by quartiles of DNI, with the lowest quartile serving as the reference, revealed that the highest quartile was associated with HRs of 0.820 (0.697, 0.966) for all-cause mortality and 0.663 (0.465, 0.944) for cardiovascular mortality, both displaying a significant trend (p < 0.001). However, a subdivision of CKD patients by age showed that the protective effects of higher DNI were only confined to individuals aged 60 years and above but not to those under 60 years of age.

Conclusion

A negative correlation between DNI and mortality due to all causes and cardiovascular issues among CKD patients aged 60 and above was revealed based on the datasets; however, this association was not observed in younger individuals under 60. Consequently, enhancing DNI might serve as a beneficial therapeutic strategy specifically for the older CKD demographic.

The association of continuous glucose monitoring with glycemic parameters in patients with uncontrolled type 2 diabetes: A prospective observational study

BACKGROUND

Uncontrolled glycemic parameters in type 2 diabetes mellitus (T2DM) are a major concern. The present study aimed to evaluate the effectiveness of continuous glucose monitoring (CGM) on glycemic control in type 2 diabetics on insulin therapy.

MATERIALS AND METHODS

This prospective observational study was done in the Outpatient Department of General Medicine from January 1, 2021 till December 31, 2021 on patients with confirmed T2DM and on insulin therapy. Patients underwent detailed history and physical examination. The CGM device was inserted to record blood glucose levels throughout the day and night for monitoring. Parameters like glycosylated hemoglobin (HbA1c), fasting blood sugar (FBS), post-paradial blood sugar (PPBS), and lipid profile parameters [cholesterol, triglyceride (TG), and low-density lipoprotein (LDL)] were compared at baseline and after a follow-up of 3 months. P-value < 0.05 was used to indicate significant difference.

RESULTS

Of 107 patients screened, 100 were included in the study and seven were excluded. The mean age of the patients was 60.6 ± 11.1 years. Fifty-six (56%) of the patients were males, and 44 (44%) were females. The mean body mass index (BMI) was 22.9 ± 2.4 kg/m2. Compared to baseline values, after 3 months of CGM, there was significantly decreased HbA1c (9.41 ± 0.83 vs 9.87 ± 1.16 g%, P < 0.001), FBS (194.640 ± 22.4587 vs 205.10 ± 35.7758 mg/dl, P = 0.002), PPBS (271.160 ± 29.1235 vs 299.180 ± 42.3798, P < 0.001), cholesterol (184.470 ± 28.5192 vs 198.430 ± 38.8367 mg/dl, P < 0.001), LDL (102.410 ± 22.8973 vs 112.040 ± 30.8859, P < 0.001), and TG (140.890 ± 18.0979 vs 146.730 ± 20.8665 mg/dl, P < 0.001).

CONCLUSION

There was a significant improvement in the glycemic parameters and lipid profile parameters with the adoption of CGM. Overall, CGM is a novel method for practical use for management of patients with T2DM.

Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study

INTRODUCTION

Effective diabetes management relies mainly on an individual's ability to perform self-care tasks. However, this process is influenced by a complex interplay of factors. This study explores the multifaceted influences on Diabetes Self-Management (DSM), examining both factors influencing and affecting DSM. Understanding these influences is crucial for developing targeted Digital Health Interventions that empower individuals with diabetes to achieve successful self-management.

OBJECTIVES

To identify problems faced by Type 2 Diabetes Mellitus (T2DM) individuals in self-managing diabetes and leveraging mHealth technology, with need-based solutions to Empower Self-Management in T2DM.

METHODOLOGY

In-depth semi-structured interviews were conducted among ten patients with T2DM visiting the outpatient department of a tertiary care hospital in coastal Karnataka. Additionally, six healthcare professionals (HCPs) working closely with T2DM patients were interviewed to understand their perspectives on using mHealth to manage T2DM effectively. The themes for the solutions described were analyzed using ATLAS-TI software.

RESULTS

Our research examined certain factors that might have influenced effective diabetes self-management and investigated patient perspectives on using digital health solutions in diabetes self-management. This study found that technology skills, duration of diabetes, knowledge, and personal beliefs were all significant factors affecting self-management in participants with T2DM. Additionally, socioeconomic factors were also seen to influence effective diabetes self-management. The Google search engine was used by 50% of the participants interviewed to learn about T2DM. Diet management through Google searches was used by a minority (30%) of the patients. None of the participants had previously used any mobile health applications (mHealth apps) to manage T2DM. 20% of the participants expressed limited knowledge about using smartphones or wearables to track health parameters. The study also identified potential non-technological barriers to mHealth adoption. To address these concerns, researchers used an empathy map to develop solutions that promote mHealth use.

CONCLUSION

Several challenges and need-based mHealth solutions were identified to empower diabetes self-management education among T2DM patients. Implementing need-based mHealth solutions such as data tracking, personalized feedback, and access to educational resources can lead to better disease control and a higher quality of life for those with T2DM. Further research and development in mHealth interventions, and collaborative efforts among healthcare providers, patients, and technology developers, hold a promising future for the healthcare sector in providing efficient, effective, and accessible care.

The burden and care cascade in young and middle-aged patients with diabetes hypertension comorbidity with abdominal obesity in India: A nationally representative cross-sectional survey

We ascertained the burden, determinants, and care cascade in the young and middle-aged patients having co-existing hypertension (HTN), Diabetes Mellitus (DM), and abdominal obesity in India from a secondary data analysis of nationally representative data. The study examined cross-sectional data from the National Family Health Survey (NFHS-5) conducted in India from 2019 to 2021 in 788974 individuals aged 15-49 years including 695707 women and 93267 men. The weighted prevalence of DM-HTN comorbidity with high waist circumference in the sample was 0.75% (95% CI: 0.71 to 0.79) including 46.33% (95% CI: 44.06 to 48.62) newly diagnosed cases detected for HTN and high blood sugars. The weighted prevalence of Metabolic syndrome as per NCEP ATPIII criteria was found to be 1.13% (95% CI: 1.08 to 1.17). Only 46.16% existing cases were treated with both anti-diabetes and antihypertensive medication (full treatment), while 34.71% cases were untreated. On adjusted analysis, increasing age, females, higher wealth index, high fat diet, obesity and comorbidities were significantly associated with having DM-HTN comorbidity along with high-waist circumference. More than half of young and middle aged-population in India with DM-HTN-abdominal obesity triad are not initiated on treatment for DM and HTN comorbidities, while a majority of the previously diagnosed cases have uncontrolled blood pressure and poor glycemic control. The poor cascade of care for DM and HTN in these high-risk group of patients may substantially increase their risk for early progression and severity of microvascular and macrovascular complications especially cardiovascular disease.

Advancing diabetes surveillance ecosystems: a case study of India

Professional society and expert guidelines recommend the achievement of glycaemic, blood pressure, and cholesterol targets to prevent the microvascular and macrovascular complications of diabetes. The WHO Diabetes Compact recommends that countries meet and monitor these targets for diabetes management. Surveillance-ie, continuous, systematic measurement, analysis, and interpretation of data-is a crucial component of public health. In this Personal View, we use the case of India as an illustration of the challenges and future directions needed for a diabetes surveillance system that documents national progress and persistent gaps. To address the growing burdens of diabetes and cardiometabolic diseases, the Government of India has launched programmes such as the National Programme for Prevention and Control of Non-Communicable Diseases. Different surveys have provided estimates of the diabetes care continuum of awareness, treatment, and control at the national, state, and, very recently, district level. We reviewed the literature to analyse how these surveys have varied in both their data collection methods and the reported estimates of the diabetes care continuum. We propose an integrated surveillance and monitoring framework to augment decentralised decision making, leveraging the complementary strengths of different surveys and electronic health record databases, such as data obtained by the National Programme for Prevention and Control of Non-Communicable Diseases, and building on methodological advances in model-based small-area estimation and data fusion. Such a framework could aid state and district administrators in monitoring the progress of diabetes screening and management initiatives, and benchmarking against national and global standards in all countries.

Anti-depressant effect of Naringenin-loaded hybridized nanoparticles in diabetic rats via PPARγ/NLRP3 pathway

Naringenin (NAR) has various biological activities but low bioavailability. The current study examines the effect of Naringenin-loaded hybridized nanoparticles (NAR-HNPs) and NAR on depression induced by streptozotocin (STZ) in rats. NAR-HNPs formula with the highest in vitro NAR released profile, lowest polydispersity index value (0.21 ± 0.02), highest entrapment efficiency (98.7 ± 2.01%), as well as an acceptable particle size and zeta potential of 415.2 ± 9.54 nm and 52.8 ± 1.04 mV, respectively, was considered the optimum formulation. It was characterized by differential scanning calorimetry, examined using a transmission electron microscope, and a stability study was conducted at different temperatures to monitor its stability efficiency showing that NAR-HNP formulation maintains stability at 4 °C. The selected formulation was subjected to an acute toxicological test, a pharmacokinetic analysis, and a Diabetes mellitus (DM) experimental model. STZ (50 mg/kg) given as a single i.p. rendered rats diabetic. Diabetic rat groups were allocated into 4 groups: one group received no treatment, while the remaining three received oral doses of unloaded HNPs, NAR (50 mg/kg), NAR-HNPs (50 mg/kg) and NAR (50 mg/kg) + peroxisome proliferator-activated receptor-γ (PPAR-γ) antagonist, GW9662 (1mg/kg, i.p.) for three weeks. Additional four non-diabetic rat groups received: distilled water (normal), free NAR, and NAR-HNPs, respectively for three weeks. NAR and NAR-HNPs reduced immobility time in forced swimming test and serum blood glucose while increasing serum insulin level. They also reduced cortical and hippocampal 5-hydroxyindoeacetic acid, 3,4-Dihydroxy-phenylacetic acid, malondialdehyde, NLR family pyrin domain containing-3 (NLRP3) and interleukin-1beta content while raised serotonin, nor-epinephrine, dopamine and glutathione level. PPAR-γ gene expression was elevated too. So, NAR and NAR-HNPs reduced DM-induced depression by influencing brain neurotransmitters and exhibiting anti-oxidant and anti-inflammatory effects through the activation PPAR-γ/ NLRP3 pathway. NAR-HNPs showed the best pharmacokinetic and therapeutic results.

Therapeutic potentials of glucose-dependent insulinotropic polypeptide (GIP) in T2DM: Past, present, and future

Type 2 diabetes mellitus (T2DM) is a worldwide health problem that has raised major concerns to the public health community. This chronic condition typically results from the cell's inability to respond to normal insulin levels. Glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) are the primary incretin hormones secreted from the intestinal tract. While clinical research has extensively explored the therapeutic potential of GLP-1R in addressing various T2DM-related abnormalities, the possibility of GIPR playing an important role in T2DM treatment is still under investigation. Evidence suggests that GIP is involved in the pathophysiology of T2DM. This chapter focuses on examining the role of GIP as a therapeutic molecule in combating T2DM, comparing the past, present, and future scenarios. Our goal is to delve into how GIP may impact pancreatic β-cell function, adipose tissue uptake, and lipid metabolism. Furthermore, we will elucidate the mechanistic functions of GIP and its receptors in relation to other clinical conditions like cardiovascular diseases, non-alcoholic fatty liver diseases, neurodegenerative diseases, and renal disorders. Additionally, this chapter will shed light on the latest advancements in pharmacological management for T2DM, highlighting potential structural modifications of GIP and the repurposing of drugs, while also addressing the challenges involved in bringing GIP-based treatments into clinical practice.

Expert Consensus on Dipeptidyl Peptidase-4 Inhibitor-Based Therapies in the Modern Era of Type 2 Diabetes Mellitus Management in India

India has a high prevalence of type 2 diabetes mellitus (T2DM) with unique clinical characteristics compared to other populations. Despite advancements in diabetes therapy, a significant number of patients in India still experience poor glycemic control and complications. Dipeptidyl peptidase-4 (DPP-4) inhibitors continue to be an important component of T2DM treatment due to their favorable efficacy and tolerability profile. Given the current scenario, there is a need to revisit the role of DPP-4 inhibitors in T2DM management in Indian patients. This consensus paper aims to provide guidance on the utilization of DPP-4 inhibitors in T2DM management from an Indian perspective. A consensus group of 100 experts developed recommendations based on an extensive literature review and discussions. The expert group emphasized the importance of timely glycemic control, combination therapy, and targeting the underlying pathophysiology of T2DM. The combinations of DPP-4 inhibitors with metformin and/or sodium-glucose transport protein-2 inhibitors are rationalized in this paper, considering their complementary mechanisms of action. This paper provides valuable insights for clinicians in optimizing the management of T2DM in the Indian population with the use of DPP-4 inhibitors and proposes an algorithm for selecting DPP-4 inhibitor-based therapies.

Aged garlic extract preserves beta-cell functioning via modulation of nuclear factor kappa-B (NF-κB)/Toll-like receptor (TLR)-4 and sarco endoplasmic reticulum calcium ATPase (SERCA)/Ca2+ in diabetes mellitus

BACKGROUND

Peripheral insulin resistance and compromised insulin secretion from pancreatic β-cells are significant factors and pathogenic hallmarks of diabetes mellitus (DM). NF-κβ/TLR-4 and SERCA/Ca2+ pathways have been identified as potential pathways regulating insulin synthesis by preserving pancreatic β-cell functioning. The current study aimed to evaluate the therapeutic effect of aged garlic extract (AGE) against DM in a streptozotocin (STZ)-induced rat model with particular emphasis on pancreatic β-cell functioning.

METHODS

AGE was characterized by gas chromatography-mass spectrometry (GC-MS), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM) to evaluate its physio-chemical characteristics followed by in-vitro anti-diabetic and antioxidant potential. This was followed by the induction of DM in laboratory animals for investigating the therapeutic action of AGE by evaluating the role of NF-κβ/TLR-4 and the SERCA/Ca2+ pathway. The parameters assessed in the present experimental setup encompassed antioxidant parameters, metabolic indicators, insulin concentration, intracellular calcium levels, apoptotic markers (CCK-8 and Caspase Glo-8), and protein expression (P-62 and APACHE-II).

RESULTS

AGE characterization by SEM, GC-MS, and X-ray diffraction (XRD) revealed the presence of phenylalanine, alliin, S-allylmercaptocysteine (SAMC), tryptophan, 1-methyl-1,2,3,4-tetrahydro-β-carboline-3-carboxylic acid as major bioactive constituents of AGE. Metabolic studies, including intraperitoneal glucose tolerance test (IPGTT), revealed significantly lower blood glucose levels in the AGE group compared to the disease control group. In contrast, the intraperitoneal insulin tolerance test (ITT) exhibited no significant difference in insulin sensitivity between the AGE supplementation group and the DM control group. Interestingly, AGE was found to have no significant effect on fasting glucose and serum insulin levels. In contrast, AGE supplementation was found to cause significant hypoglycaemia in postprandial blood glucose and insulin levels. Importantly, AGE causes restoration of intracellular Ca2+ levels by modulation of SERCA/Ca2 functioning and inhibition NF-κB/TLR-4 pathway. AGE was found to interact with and inhibit the DR-5/ caspase-8/3 apoptotic complex. Furthermore, microscopic studies revealed degeneration and apoptotic changes in pancreatic β-cells of the DM control group, while supplementation of AGE resulted in inhibition of apoptotic pathway and regeneration of pancreatic β-cells.

CONCLUSION

The current study suggests that AGE enhance glucose homeostasis by exerting their effects on pancreatic β-cells, without ameliorating peripheral sensitivity. Moreover, AGEs promote an increase in β-cell mass by mitigating the apoptosis of pancreatic β-cells. These findings suggest that AGE could aid in developing a viable alternative therapy for diabetes mellitus (DM).

Effectiveness of the health and wellness centers in improving identification and primary care of non-communicable diseases in Chhattisgarh State of India

Introduction

India launched a national initiative named Health and Wellness Centres (HWCs) in 2018 to provide population-based primary care including for the non-communicable diseases (NCDs) in rural areas. The current study assesses whether operationalization of HWCs improved the detection of NCDs and increased the share of public sector facilities in providing NCD services.

Methods

Two rounds of household surveys were conducted in rural Chhattisgarh in 2019 and 2022. With a focus on NCDs, the household survey covered a representative sample of individuals above the age of 30 years - 2760 individuals in 2019 and 2638 in 2022. Multi-variate regression analysis was carried out to determine effects of HWCs on identification of NCDs and utilization of public sector services.

Results

The population covered by HWCs had 25% greater chance of being identified with NCDs as compared to the population without HWCs (AOR = 1.25, P = 0.03). The NCD patients living in areas covered by HWCs had 70% greater chance of utilizing the public healthcare facilities (AOR = 1.70, P = 0.01). In the population covered by HWCs, the share of the public sector in NCD care increased from 41.2% in 2019 to 62.1% in 2022, whereas the share of informal private providers dropped from 23.5% in 2019 to 8.4% in 2022.

Conclusion

The HWCs showed effectiveness in increasing detection of NCDs at the population level and bringing a larger share of NCD patients to utilize public sector services. They can prove to be a crucial architectural correction for improving primary care service delivery for NCDs and other population health needs in India.

Ten-year risk assessment for cardiovascular disease & associated factors among adult Indians (aged 40-69 yr): Insights from the National Noncommunicable Disease Monitoring Survey (NNMS)

Background & objectives Cardiovascular diseases (CVDs) are extremely prevalent in India, making early detection of people at high risk for CVDs and prevention crucial. This study aimed to estimate CVD risk distribution in older adults (40-69 yr) in India using WHO's non-laboratory risk chart and identify factors associated with elevated CVD risk (10%). Methods The current study used a nationally representative sample of 40-69 yr adults in India. The population's 10-yr CVD risk was defined as very low-to-low (10%), moderate (10-20%) and high to very high (>20%). We attempted univariable and multivariable logistic regressions to identify factors related to higher CVD risk (≥10%). Results Out of 4480 participants, 50 per cent were younger participants (40-49 years). The proportions of the population with very low to low, moderate and high to very high CVD risk were 84.9, 14.4 and 0.7 per cent, respectively. The estimated 10-year CVD risk was higher for people with unemployed [Adjusted Odds Ratio (AOR): 5.12; 95% Confidence Interval (CI): 3.63, 7.24], followed by raised blood glucose (AOR: 1.81; 95%CI: 1.39, 2.34). Interpretation & conclusions The non-laboratory-based chart proves valuable in low-resource settings, especially at the primary healthcare level, facilitating efficient CVD risk assessment and resource allocation. Further research is needed to explore the association of second-hand smoke with CVD risk in the Indian population.

Prevalence and predictors of high-frequency hearing loss among mine workers in Gujarat, western India: a cross-sectional study on the need to implement a comprehensive hearing conservation program

BACKGROUND

High-frequency hearing loss (HFHL) stands as a prevalent occupational morbidity globally, with numerous associated risk factors, some of which are modifiable. In the context of a comprehensive hearing conservation program, the initial steps involve early screening and identification of workers with these modifiable risk factors, aiming to reduce the prevalence of hearing loss. Our objective was to estimate the prevalence of HFHL and determine its predictors among mine workers.

METHODS

We conducted a cross-sectional study among 226 mine workers in ten open-cast mines in Gujarat state, the western part of India, in November 2020. We collected data on socio-demography, addiction, occupation history and comorbidities, along with anthropometric, blood pressure, and blood sugar measurements. Audiometric evaluations using a portable diagnostic audiometer were employed to assess HFHL, defined as a hearing threshold exceeding 25 decibels (dB) at high frequencies (3000, 4000, 6000, and 8000 Hz). A generalized linear model (GLM) with a binomial family was performed to determine the predictors significantly predicting HFHL after adjusting for confounding variables.

RESULTS

The prevalence of HFHL was 35% (95% CI: 29-42%) in our study setting. Office workers demonstrated a prevalence of 19%, whereas other job categories displayed a higher prevalence of 42%, resulting in a significant prevalence difference of 23% and a prevalence ratio of 2.2. The GLM analysis revealed that variables, such as noise exposure during work [adjusted prevalence ratio (aPR) 2.3 (95% CI: 1.2-4.7, p = 0.018)] and noise exposure duration [aPR 1.1 (95% CI: 1.0-1.1, p = 0.042)], were significant predictors of HFHL.

CONCLUSIONS

In our study setting, mine workers exhibited a high prevalence of HFHL, with exposure to workplace noise and duration being modifiable predictors. Because HFHL advances slowly and is generally undetected by the individual, we recommend periodic testing using audiometry to identify it among mine workers and, if possible, shifting them from mining activities to office. Furthermore, we advocate for the implementation of a comprehensive hearing conservation program to the extent possible.

Gender and kidney transplantation

Kidney transplantation provides the best form of kidney replacement therapy with improvement in quality of life and longevity. However, disparity exists in its availability, utilisation and outcomes, not only due to donor availability or financial constraints but also arising from the influence of biological sex and its sociocultural attribute i.e., Gender. Women make up the majority of kidney donors but are less likely to be counselled regarding transpantation, be waitlisted or receive living/deceased donor kidney. Biological differences also contribute to differences in kidney transplantation among the sexes. Women are more likely to be sensitised owing to pregnancy, especially in multiparous individuals, complicating donor compatibility. A heightened immune system in women, evidenced by more autoimmune illnesses, increases the risk of allograft rejection and loss. Differences in the pharmacokinetics of transplant drugs owing to biological variances could also contribute to variability in outcomes. Transgender medicine is also increasingly becoming a relevant topic of study, providing greater challenges in the form of hormonal manipulations and anatomic changes. It is thus important to determine and study transplantation and its nuances in this backdrop to be able to provide relevant sex and gender-specific interventions and design better practices for optimum kidney transplant utilisation and outcomes.

Left ventricular diastolic function and cardiotoxic chemotherapy

BACKGROUND

Left ventricular ejection fraction falls when the myocardium has already lost a significant portion of its functional capacity. There are conflicting data on whether diastolic dysfunction precedes systolic dysfunction after cardiotoxic chemotherapy. We aimed to study systolic and diastolic dysfunction after cardiotoxic chemotherapy and whether diastolic dysfunction can predict subsequent risk of systolic dysfunction. It was an observational prospective cohort study, and patients receiving cardiotoxic chemotherapy were included. Baseline, demographic, and clinical details were recorded. Echocardiographic measurements of left ventricular systolic function, global longitudinal strain, and diastolic function were noted at baseline, three months, and 6 months.

RESULTS

We included eighty patients. The mean age of the patients was 54.92 ± 7.6 years, predominantly females (80%). The mean left ventricular ejection fraction fell from 64.92 ± 1.96 to 60.97 ± 4.94 at 6 months. Low ejection fraction was seen in 8 (10%) patients at 6 months. The mean global longitudinal strain (GLS) at baseline was - 18.81 ± 0.797 and fell to - 17.65 ± 2.057 at 6 months, with 12 (15%) patients having low GLS (< - 18). Grade 1 diastolic dysfunction was seen in 22 (27.5%) patients, and grade 2 diastolic dysfunction was seen in 3 (3.8%) patients at 6 months. There was a significant decrease in E/A ratio (inflow early diastolic velocity/Inflow late diastolic velocity), mitral tissue Doppler velocity, and an increase in isovolumic relaxation time, mitral valve deceleration time, and E/e' (inflow early diastolic velocity/tissue Doppler mitral annular velocity), at three months and 6 months. Ejection fraction at 6 months was significantly and negatively correlated with diastolic dysfunction at three months (r = - 0.595, p = 0.02).

CONCLUSIONS

Cardiotoxic chemotherapy is associated with early diastolic dysfunction. Early diastolic dysfunction predicts subsequent left ventricular systolic dysfunction.

Stroke incidence, mortality, subtypes in rural and urban populations in five geographic areas of India (2018-2019): results from the National Stroke Registry Programme

Background

Increasing stroke burden in India demands a long-term stroke surveillance framework. Earlier studies in India were urban-based, short term and provided limited data on stroke incidence and its outcomes. This gap is addressed by the establishment of five population-based stroke registries (PBSRs) of the National Stroke Registry Programme, India. This paper describes stroke incidence, mortality and age, sex, and subtypes distribution in the five PBSRs with urban and rural populations.

Methods

First-ever incident stroke patients in age group ≥18 years, resident for at least one year in the defined geographic area, identified from health facilities were registered. Death records with stroke as the cause of death from the Civil Registration System (CRS) were included. Transient ischemic attack (TIA) was excluded. Three PBSRs (Cuttack, Tirunelveli, Cachar) included urban and rural populations. PBSRs in Kota and Varanasi were urban areas. The crude and age-standardized incidence rate (ASR) by age, sex, and residence (urban and rural), rate ratios of ASR, case fatality proportions and rates at day 28 after onset of stroke were calculated for years 2018-2019.

Findings

A total of 13,820 registered first-ever stroke cases that included 985 death certificate-only cases (DCOs) were analysed. The pooled crude incidence rate was 138.1 per 100,000 population with an age-standardized incidence rate (ASR) of 103.4 (both sexes), 125.7 (males) and 80.8 (females). The risk of stroke among rural residents was one in seven (Cuttack), one in nine (Tirunelveli), and one in 15 (Cachar). Ischemic stroke was the most common type in all PBSRs. Age-standardized case fatality rates (ASCFR) per 100,000 population for pooled PBSRs was 30.0 (males) and 18.8 (females), and the rate ratio (M/F) ranged from 1.2 (Cuttack) to 2.0 (Cachar).

Interpretation

Population-based registries have provided a comprehensive stroke surveillance platform to measure stroke burden and outcomes by age, sex, residence and subtype across India. The rural-urban pattern of stroke incidence and mortality shall guide health policy and programme planning to strengthen stroke prevention and treatment measures in India.

Funding

The National Stroke Registry Programme is funded through the intramural funding of the Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, India.

Rural-urban disparities in the diagnosis and treatment of hypertension and diabetes among aging Indians

INTRODUCTION

Hypertension and diabetes are modifiable risk factors for dementia. We aimed to assess rural-urban disparities in the diagnosis and treatment of these conditions among aging Indians.

METHODS

Participants (n = 6316) were from two parallel, prospective aging cohorts in rural and urban India. Using self-report and clinical/biochemical assessments, we subdivided participants with diabetes and hypertension into undiagnosed and untreated groups. Logistic regression and Fairlie decomposition analysis were the statistical methods utilized.

RESULTS

There was a significant rural-urban disparity in undiagnosed hypertension (25.14%), untreated hypertension (11.75%), undiagnosed diabetes (16.94%), and untreated diabetes (11.62%). Further, sociodemographic and lifestyle factors, such as age and tobacco use were the common contributors to the disparities in both undiagnosed hypertension and undiagnosed diabetes, whereas education and body mass index (BMI) were significant contributors to the disparity in untreated hypertension.

DISCUSSION

Rural Indians face significant healthcare disadvantages as compared to their urban counterparts, which prompts the urgent need for strategies for equitable healthcare.

Awareness of Hypertension, Hypercholesterolemia, and Diabetes Mellitus and Associated Characteristics in Russian Adults

Russia has higher cardiovascular disease (CVD) mortality compared to other European countries. The major CVD risk factors are age, male sex, and three conditions, namely hypertension, hypercholesterolemia, and diabetes mellitus (DM). This study aimed to assess awareness of these three conditions among Russian adults (N = 3803) and the associated socio-demographic, lifestyle, and health characteristics. We used cross-sectional data from a randomly drawn population-based sample of Russians aged 35-69 years, who participated in the Know Your Heart (KYH) study conducted in Arkhangelsk and Novosibirsk between 2015-2018. Participants' self-reported awareness of hypertension, hypercholesterolemia, and DM was assessed against the measures at the KYH health check (blood pressure, cholesterol, HbA1c and/or use of medication for each condition). Prevalence estimates for the awareness were age- and sex-standardized to the Standard European Population. Socio-demographic, lifestyle, and health-related correlates of the awareness were investigated using logistic regression modelling. Among participants with hypertension (N = 2206), hypercholesterolemia (N = 3171), and DM (N = 329) recorded at a health check, 79%, 45%, and 61% self-reported these conditions, respectively. Higher awareness of hypercholesterolemia and hypertension was associated with older age, female sex, nonsmoking status, obesity, and history of CVD diagnoses. Low household income and history of CVD diagnoses were associated with being aware of DM. The awareness rates of hypertension were relatively high, whereas awareness rates of hypercholesterolemia and DM were relatively low. CVD prevention and early intervention could be improved in Russia through increasing the awareness of the risk factors.

Prevalence of hypertension, diabetes mellitus, and their risk factors in an informal settlement in Freetown, Sierra Leone: a cross-sectional study

BACKGROUND

Noncommunicable diseases (NCDs), especially hypertension and diabetes mellitus are on the increase in sub-Saharan Africa (SSA). Informal settlement dwellers exhibit a high prevalence of behavioural risk factors and are highly vulnerable to hypertension and diabetes. However, no study has assessed the prevalence of hypertension, diabetes, and NCDrisk factors among informal settlement dwellers in Sierra Leone. We conducted a study in June 2019 to determine the prevalence of hypertension, diabetes, and NCD risk factors among adults living in the largest Sierra Leonean informal settlement (KrooBay).

METHODS AND MATERIALS

We conducted a community-based cross-sectional survey among adults aged ≥ 35 years in the KrooBay community. Trained healthcare workers collected data on socio-demographic characteristics and self-reported health behaviours using the World Health Organization STEPwise surveillance questionnaire for chronic disease risk factors. Anthropometric, blood glucose, and blood pressure measurements were performed following standard procedures. Logistics regression was used for analysis and adjusted odd ratios with 95% confidence intervals were calculated to identify risk factors associated with hypertension.

RESULTS

Of the 418 participants, 242 (57%) were females and those below the age of 45 years accounted for over half (55.3%) of the participants. The prevalence of smoking was 18.2%, alcohol consumption was 18.8%, overweight was 28.2%, obesity was 17.9%, physical inactivity was 81.5%, and inadequate consumption of fruits and vegetables was 99%. The overall prevalence of hypertension was 45.7% (95% CI 41.0-50.5%), systolic hypertension was 34.2% (95% CI 29.6-38.8%), diastolic blood pressure was 39.9% (95% CI 35.2-44.6), and participants with diabetes were 2.2% (95% CI 0.7-3.6%). Being aged ≥ 55 years (AOR = 7.35, 95% CI 1.49-36.39) and > 60 years (AOR 8.05; 95% CI 2.22-29.12), separated (AOR = 1.34; 95% 1.02-7.00), cohabitating (AOR = 6.68; 95% CL1.03-14.35), vocational (AOR = 3.65; 95% CI 1.81-7.39 ) and having a university education (AOR = 4.62; 95% CI 3.09-6.91) were found to be independently associated with hypertension.

CONCLUSION

The prevalence of hypertension,and NCD risk factors was high among the residents of the Kroobay informal settlement. We also noted a low prevalence of diabetes. There is an urgent need for the implementation of health education, promotion, and screening initiatives to reduce health risks so that these conditions will not overwhelm health services.

Scans per day as predictors of optimal glycemic control in people with type 1 diabetes mellitus using flash glucose monitoring: what number of scans per day should raise a red flag?

AIMS

This study aimed to determine the minimum frequency of flash glucose monitoring (FGM) scans necessary for optimal glycemic control in patients with type 1 diabetes (T1D).

METHODS

Data were collected from 692 patients (47.5% female, with a median age of 47.4 years) who used FGM systems daily and recorded their clinical variables and device data.

RESULTS

Logistic regression models showed that performing more than 12 scans per day was associated with improved T1D control (OR = 4.22, p < 0.001) and a reduction in HbA1c (7.6 vs 7.0%, 60-53 mmol/mol p < 0.001). However, those performing less than 6 scans showed no improvement in HbA1c (7.9 vs 7.8%, 63-61 mmol/mol p = 0.514). Thirteen daily scans were determined as the optimal cutoff point for predicting optimal glycemic control using a maximally selected rank algorithm. Significant reductions were observed in mean glucose (< 0.001), coefficient of variation (< 0.001), HbA1c (< 0.001), and an increase in TIR (< 0.001) in patients who performed more than 12 daily scans.

CONCLUSIONS

The results suggest that a higher frequency of daily scans by T1D patients using FGM systems leads to improved chronic glycemic control. The minimum recommended frequency for optimal control is 13 scans per day, and more than 6 daily scans are needed to improve HbA1c.

Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review

Diabetic retinopathy (DR) is a rapidly emerging retinal abnormality worldwide, which can cause significant vision loss by disrupting the vascular structure in the retina. Recently, optical coherence tomography angiography (OCTA) has emerged as an effective imaging tool for diagnosing and monitoring DR. OCTA produces high-quality 3-dimensional images and provides deeper visualization of retinal vessel capillaries and plexuses. The clinical relevance of OCTA in detecting, classifying, and planning therapeutic procedures for DR patients has been highlighted in various studies. Quantitative indicators obtained from OCTA, such as blood vessel segmentation of the retina, foveal avascular zone (FAZ) extraction, retinal blood vessel density, blood velocity, flow rate, capillary vessel pressure, and retinal oxygen extraction, have been identified as crucial hemodynamic features for screening DR using computer-aided systems in artificial intelligence (AI). AI has the potential to assist physicians and ophthalmologists in developing new treatment options. In this review, we explore how OCTA has impacted the future of DR screening and early diagnosis. It also focuses on how analysis methods have evolved over time in clinical trials. The future of OCTA imaging and its continued use in AI-assisted analysis is promising and will undoubtedly enhance the clinical management of DR.

A Systematic Narrative Review on ADIPOQ Gene Variants and its Association with T2DM in the Indian Population

BACKGROUND

The prevalence of diabetes is rapidly increasing in India, even among young adult individuals. Rare adiponectin gene (ADIPOQ) variants may be predominantly present in Indians and decrease the circulatory levels of APN (Adiponectin). Studies reported that ADIPOQ gene variants were associated with type 2 diabetes mellitus (T2DM) and its complications in the Indian population.

OBJECTIVES

To review the association of specific ADIPOQ gene variants with T2DM and its associated complications.

MATERIALS & METHODS

A search of Pubmed, Chinhal, Medline, Scopus, Web of Science databases, and Google Scholar search engine was performed to retrieve articles by using the following keywords; "ADIPOQ and T2DM", "ADIPOQ and India," "ADIPOQ gene variants and T2DM", "ADIPOQ gene variants and T2DM and India", "SNPs of ADIPOQ gene and T2DM", "SNPs of ADIPOQ gene and India," SNPs of ADIPOQ gene and T2DM and India". Eligibility criteria for the inclusion of articles: Original, Case-Control Study, and Full-Text articles were published in the English language till the end of April 2023.

RESULTS

A total of 540 articles were retrieved. Out of this, only 18 articles were found suitable to include in this systematic narrative review. The most studied ADIPOQ gene variants were found to be +10211T/G (rs17846866), +45T/G (rs2241766), and +276G/T (rs1501299) in different Indian populations.

CONCLUSION

It was reviewed that ADIPOQ gene variants +10211T/G (rs17846866), +45T/G (rs2241766), and +276G/T (rs1501299) were predominantly present in the Indian population, and decreasing the circulatory levels of APN and significantly associated with T2DM and its complications.<.

Islet Dimensions and Its Impact on the Cellular Composition and Insulin-Secreting Capacity: Insights Into the Role of Non-beta Cells

Studies have underscored the significance of islet dimensions, encompassing i) the necessity for islets to maintain an optimal diameter to sustain functional activity; ii) larger islets exhibit an intermingled architecture of alpha and beta cells, enhancing functional activity through paracrine effects; iii) non-alpha/beta (NAB) cells play a significant role in regulating beta cells; and iv) there is a preferential loss of larger islets in cases of type 2 diabetes mellitus. To delve deeper into these aspects, the authors documented the cellular composition in islets of various dimensions and regions of the pancreas, along with their secreting capacity, using the expression of the myosin Va motor protein in nine non-diabetic adult human pancreases. The proportion of NAB cells was found to be higher in intermediate islets and significantly lower in smaller and larger islets. By comparing the differences in islet composition, where NAB cells increase from smaller to intermediate islets, leading to a decrease in the proportion of alpha and beta cells, and in larger islets, there is a higher proportion of beta and alpha cells similar to smaller islets, we propose the hypothesis that NAB cells proliferate as islets increase in size. Furthermore, in larger islets, these NAB cells convert into alpha and beta cells, resulting in the scattered, intermingled arrangement observed in larger islets. The higher intensity of myosin Va expression in the islets of the tail region, along with a similar proportion of NAB cells in intermediate islets of the tail region compared to larger islets, leads to decreased inhibitory stimuli to beta cells and an increased insulin-secreting capacity.

A Comprehensive Review on Prospects of Polymeric Nanoparticles for Treatment of Diabetes Mellitus: Receptors-Ligands, In vitro & In vivo Studies

As per International Diabetes Federation Report 2022, worldwide diabetes mellitus (DM) caused 6.7M moralities and ~537M adults suffering from diabetes mellitus. It is a chronic condition due to β-cell destruction or insulin resistance that leads to insulin deficiency. This review discusses Type-1 DM and Type-2 DM pathophysiology in detail, with challenges in management and treatment. The toxicity issues of conventional drugs and insulin injections are complex to manage. Thus, there is a need for technological intervention. In recent years, nanotechnology has found a fruitful advancement of novel drug delivery systems that might potentially increase the efficacy of anti-diabetic drugs. Amongst nano-formulations, polymeric nanoparticles have been studied to enhance the bioavailability and efficacy of anti-diabetic drugs and insulin. In the present review, we summarized polymeric nanoparticles with different polymers utilized to deliver anti-diabetic drugs with in vitro and in vivo studies. Furthermore, this review also includes the role of receptors and ligands in diabetes mellitus and the utilization of receptor-ligand interaction to develop targeted nanoparticles. Additionally, we discussed the utility of nanoparticles for the delivery of phytoconstituents which aids in protecting the oxidative stress generated during diabetes mellitus. Atlast, this article also comprises of numerous patents that have been filed or granted for the delivery of antidiabetic and anticancer molecules for the treatment of diabetes mellitus and pancreatic cancer.

Genetic Association of Transcription Factor 7-Like-2 rs7903146 Polymorphism With Type 2 Diabetes Mellitus

INTRODUCTION

Type 2 diabetes mellitus (T2DM) mainly results from the inability of muscle, fat, and liver cells to uptake glucose due to insulin resistance or deficiency of insulin production by the pancreas. Predisposition to T2DM may be due to environmental, hereditary, or both factors. Although there are many genes involved in causing T2DM, transcription factor 7-like-2 gene (TCF7L2) rs7903146 (C/T) single nucleotide polymorphism (SNP) found in genome-wide association studies (GWAS) is susceptible to T2DM. TCF7L2 is involved in pancreatic beta cell proliferation and differentiation via the Wnt signaling mechanism.

OBJECTIVES

To find the genetic association of TCF7L2 rs7903146 (C/T) gene polymorphism in patients with T2DM.

METHODS

A case-control study was conducted on 194 T2DM patients recruited from the endocrinology department at Indira Gandhi Institute of Medical Sciences, Patna, and 180 non-diabetic healthy controls that were age and sex-matched with the patients. All clinical examination and biochemical investigations like glycosylated hemoglobin (HbA1c), total cholesterol, triglycerides, high-density lipoprotein-cholesterol, and low-density lipoprotein-cholesterol; and determination of TCF7L2 gene polymorphism by allele-specific polymerase chain reaction (AS-PCR) were carried out for each subject.

RESULTS

 The T allele of the rs7903146 (C/T) SNP was associated with a two-fold higher risk of T2DM and the heterozygous genotype (CT) with a 1.96 times higher risk.

CONCLUSION

There is a high association of this SNP with the development of T2DM in the eastern Indian population. Serial monitoring of HbA1c should be done in an individual having this type of polymorphism for early detection of T2DM to prevent future complications.

In silico identification and functional prediction of differentially expressed genes in South Asian populations associated with type 2 diabetes

Type 2 diabetes (T2D) is one of the major metabolic disorders in humans caused by hyperglycemia and insulin resistance syndrome. Although significant genetic effects on T2D pathogenesis are experimentally proved, the molecular mechanism of T2D in South Asian Populations (SAPs) is still limited. Hence, the current research analyzed two Gene Expression Omnibus (GEO) and 17 Genome-Wide Association Studies (GWAS) datasets associated with T2D in SAP to identify DEGs (differentially expressed genes). The identified DEGs were further analyzed to explore the molecular mechanism of T2D pathogenesis following a series of bioinformatics approaches. Following PPI (Protein-Protein Interaction), 867 potential DEGs and nine hub genes were identified that might play significant roles in T2D pathogenesis. Interestingly, CTNNB1 and RUNX2 hub genes were found to be unique for T2D pathogenesis in SAPs. Then, the GO (Gene Ontology) showed the potential biological, molecular, and cellular functions of the DEGs. The target genes also interacted with different pathways of T2D pathogenesis. In fact, 118 genes (including HNF1A and TCF7L2 hub genes) were directly associated with T2D pathogenesis. Indeed, eight key miRNAs among 2582 significantly interacted with the target genes. Even 64 genes were downregulated by 367 FDA-approved drugs. Interestingly, 11 genes showed a wide range (9-43) of drug specificity. Hence, the identified DEGs may guide to elucidate the molecular mechanism of T2D pathogenesis in SAPs. Therefore, integrating the research findings of the potential roles of DEGs and candidate drug-mediated downregulation of marker genes, future drugs or treatments could be developed to treat T2D in SAPs.

Prevalence and risk factors associated with undiagnosed diabetes in India: Insights from NFHS-5 national survey

Background

Undiagnosed diabetes is a significant public health concern in India, considering the accumulative burden of diabetes and its long-term complications. We have estimated the prevalence and factors associated with undiagnosed diabetes in India.

Methods

We used data from the fifth round of the National Family Health Survey (NFHS-5, 2019-21) to estimate undiagnosed diabetes prevalence aged under 50 (15-49) years. A log-binomial model with survey-adjusted Poisson regression was used to estimate the prevalence risk ratio (PR) between undiagnosed diabetes and various factors. Multinomial logistic regression analysis was performed to examine the factors associated with diagnosed diabetes (vs. healthy) and undiagnosed diabetes (vs. healthy). All the analyses were survey-weighted and stratified by gender and reported with 95% confidence intervals.

Results

The prevalence of diabetes for individuals aged 15-49 years was found to be 4.90% (4.80 to 5.00%) from the NFHS-5. Among them, the proportion of individuals with undiagnosed diabetes was 24.82% (24.07 to 25.59%), with higher among males (28.82% (26.45 to 31.30%)) than females (24.22% (23.44 to 25.01%)). The overall prevalence of undiagnosed diabetes was 1.22% (1.18 to 1.26%), with a higher prevalence among males (1.60% (1.46 to 1.76%)) than females (1.17% (1.13 to 1.21%)). Individuals who are middle-aged (45-49), have a higher body mass index (BMI), and are in a lower wealth index group, or live in the southern regions of India are at a higher risk of being undiagnosed for diabetes.

Conclusion

One in every four having diabetes is undiagnosed. The study highlights the need for public health interventions to improve diabetes screening and access to health care, particularly among middle-aged individuals, and those with higher BMI, as well as addressing lifestyle and dietary factors. The findings also reveal disparities in diabetes burden among population subgroups in India, underscoring the need for targeted efforts.

Diabetes care cascade and their predictors in young and middle-aged population in India: evidence from the National Family Health Survey (2019-21)

PURPOSE

Weak care cascade of diabetes from the time of screening, diagnosis, treatment initiation and attainment of optimal glycemic control is a public health challenge particularly in resource limited settings. We aimed to assess the diabetes care cascade in India and its determinants in the 15-49 age group.

METHODS

We conducted a secondary data analysis of the National Family Health Survey (NFHS-5, 2019-2021), a nationally representative cross-sectional survey, including a total of 724,115 women and 101,839 men with mean (SD) age 30.6 (9.9) years.

RESULTS

The prevalence of self-reported Diabetes Mellitus (DM) in the sample was 2.14% (n = 14,116, 95% CI: 2.06, 2.21) of which 55.13% (n = 6990, 95% CI: 53.37, 56.88) were currently undergoing anti-diabetes therapy. The net prevalence of DM including both old and new cases detected on screening was 2.9%. Poor glycemic control was observed in 52.43% (n = 3506, 95% CI: 50.69, 54.16) of patients with DM on anti-diabetes therapy. Patients from the richest wealth quintile (aOR = 5.17, 95% CI: 1.93, 13.84) had significantly higher odds of accessing private health facilities, while female patients with DM were less likely to be on anti-diabetes therapy.

CONCLUSION

The prevalence of self-reported DM in India has increased from 1.7% (NFHS-4, 2015-16) to 2.1% (NFHS-5, 2019-21) while more than half of existing patients continue to remain undiagnosed. Consequently, diabetes care cascade have major lacunae at every stage from screening to diagnosis, initiation of effective treatment, and achievement of safe blood glucose levels.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40200-023-01263-9.