RESUMO
Background: Recent studies have shown a high prevalence of Type-2-diabetes (T2DM) (24%) and prediabetes (18.1%) in Kerala. There is no community based study from South Asia regarding the prevalence of type 2 diabetes and its precursors in the young adult population. This community based study was done to find the prevalence of type 2 diabetes and its precursors in South Indian adult youth (18-30 years age) of Thiruvananthapuram district. Research Design and Methods: Cross sectional design was used for this study. Multistage cluster sampling was used to enrol community dwelling youth of 18 to 30 years, residing in Thiruvananthapuram district. Six panchayath wards from rural and urban regions and 4 from coastal area were randomly selected as the primary sampling units. Trained staff nurses conducted the survey with the help of accredited-social-health-activists (ASHA). Socio-demographic data, anthropometry, clinical features of insulin resistance, and random capillary glucose (CG) and blood pressure were assessed and recorded. Oral Glucose tolerance test or HbA1c was done for participants with a CG ≥130 mg/dl for diagnosis of diabetes and prediabetes. Results: A total of 1031 participants were included from the rural (n = 394), coastal (n = 269) and urban (n = 368) areas. Prevalence of hyperglycaemia i.e., T2DM and pre-diabetes was 0.48% (n = 5) and 2.4% (n = 25) respectively. Family-history of T2DM was present in 35.1% subjects. Prevalence of overweight, obesity and abdominal-obesity was 28.2%, 16.1% and 28.4% respectively. Clinical-features of insulin resistance (CFIR) were present in 27.1% subjects (acanthosis [17.7%], skin tags [1.7%] and PCOS phenotype [10.7%]). Among various anthropometric measurements and their derivatives, CFIR correlated best (r = 0.24, P < 0.01) with the product of BMI and the sum of abdominal circumference and hip circumference (Trivandrum Medical College [TMC] -adiposity-index), which is a newly proposed parameter. Hyperglycaemia was more common in males, did not correlate with waist hip ratio, and correlated best again with TMC-adiposity-index ((r = 0.13, P < 0.01). Conclusions: The burden of insulin resistance in the young South Indian population, hitherto unknown in any community based study, has been studied for the first time. The prevalence of precursors of T2DM is high in this population. Early identification of 'at risk' individuals could provide a window of opportunity for preventing or delaying future diabetes and its long term complications. TMC adiposity index could become a valuable tool in the anthropometric assessment for predicting future T2DM.
RESUMO
Parkinson's disease (PD) is caused by the progressive loss of dopaminergic cells in substantia nigra pars compacta (SNc). The root cause of this cell loss in PD is still not decisively elucidated. A recent line of thinking has traced the cause of PD neurodegeneration to metabolic deficiency. Levodopa (L-DOPA), a precursor of dopamine, used as a symptom-relieving treatment for PD, leads to positive and negative outcomes. Several researchers inferred that L-DOPA might be harmful to SNc cells due to oxidative stress. The role of L-DOPA in the course of the PD pathogenesis is still debatable. We hypothesize that energy deficiency can lead to L-DOPA-induced toxicity in two ways: by promoting dopamine-induced oxidative stress and by exacerbating excitotoxicity in SNc. We present a systems-level computational model of SNc-striatum, which will help us understand the mechanism behind neurodegeneration postulated above and provide insights into developing disease-modifying therapeutics. It was observed that SNc terminals are more vulnerable to energy deficiency than SNc somas. During L-DOPA therapy, it was observed that higher L-DOPA dosage results in increased loss of terminals in SNc. It was also observed that co-administration of L-DOPA and glutathione (antioxidant) evades L-DOPA-induced toxicity in SNc neurons. Our proposed model of the SNc-striatum system is the first of its kind, where SNc neurons were modeled at a biophysical level, and striatal neurons were modeled at a spiking level. We show that our proposed model was able to capture L-DOPA-induced toxicity in SNc, caused by energy deficiency.
