👤 Poonam Narang

In recent years, brain-derived neurotrophic factor (BDNF) and matrix metalloproteinase-9 (MMP-9) have garnered interest for their involvement in epilepsy. This study evaluated the serum levels of BDNF and MMP-9 in pediatric patients with epilepsy compared to healthy controls and assessed the effect of valproate on serum BDNF and MMP-9. Children aged 1 year to 12 years, diagnosed with epilepsy (n=30), and age-matched healthy controls (n=30) were included. All participants were followed up for 16 weeks and assessed for changes in serum BDNF and MMP-9 levels. Children with epilepsy had significantly lower BDNF and higher MMP-9 levels compared to healthy controls at baseline. Following 16 weeks of treatment with valproate, BDNF levels were increased significantly ( The findings suggest the involvement of BDNF and MMP-9 in the pathogenesis of epilepsy. Serum BDNF and MMP-9 levels were increased and decreased, respectively, following valproate treatment in children with epilepsy. Hence, BDNF and MMP-9 could be potential biomarkers in pediatric epilepsy. Large sample sizes and long-term studies are warranted to confirm the findings. Show less

Hypertrophic cardiomyopathy (HCM) is an autosomal dominant genetic disorder characterized by left ventricular hypertrophy and variable clinical manifestations, including asymptomatic states and sudden cardiac death (SCD). Data on its phenotype and genotype in the Indian population remain limited. We studied 113 patients diagnosed with HCM. All underwent clinical assessment, 24-h Holter monitoring, echocardiography, and cardiac MRI. Genetic testing was performed in 80 patients. Clinical and imaging features were compared between genotype-positive and genotype-negative groups. The mean age was 47 ± 10.8 years, with 82.6 % being males. Dyspnoea and chest pain were the most frequent symptoms. Obstructive HCM was seen in 70 (61.9 %) patients. Cardiac MRI showed late gadolinium enhancement >15 % in 13 (23.2 %) and apical aneurysms in 2 (3.5 %). Genetic mutations were detected in 40 (50 %) patients, with MYBPC3 (33 %) and MYH7 (26.8 %) being most common. Genotype-positive individuals more frequently had chest pain, a family history of SCD, and more severe hypertrophy. In this Indian HCM cohort, the condition predominantly affected males. Genotype-positive patients exhibited more severe hypertrophy and adverse clinical profiles, underscoring the importance of genetic screening in risk stratification. Show less

Alzheimer's disease (AD), also called senile dementia, is the most common neurological disorder. Around 50 million people, mostly of advanced age, are suffering from dementia worldwide and this is expected to reach 100-130 million between 2040 and 2050. AD is characterized by impaired glutamatergic and cholinergic neurotransmission, which is associated with clinical and pathological symptoms. AD is characterized clinically by loss of cognition and memory impairment and pathologically by senile plaques formed by Amyloid β deposits or neurofibrillary tangles (NFT) consisting of aggregated tau proteins. Amyloid β deposits are responsible for glutamatergic dysfunction that develops NMDA dependent Ca Show less

Amyloid-β (Aβ) aggregation and β-amyloid precursor protein cleaving enzyme 1 (BACE1) are the potential therapeutic drug targets for Alzheimer's disease (AD). A recent study highlighted that tacrine-benzofuran hybrid C1 displayed anti-aggregation activity against Aβ Show less

Genetic differences in the target proteins, metabolizing enzymes and transporters that contribute to inter-individual differences in drug response are not integrated in contemporary drug development programs. Ayurveda, that has propelled many drug discovery programs albeit for the search of new chemical entities incorporates inter-individual variability "Prakriti" in development and administration of drug in an individualized manner. Prakriti of an individual largely determines responsiveness to external environment including drugs as well as susceptibility to diseases. Prakriti has also been shown to have molecular and genomic correlates. We highlight how integration of Prakriti concepts can augment the efficiency of drug discovery and development programs through a unique initiative of Ayurgenomics TRISUTRA consortium. Five aspects that have been carried out are (1) analysis of variability in FDA approved pharmacogenomics genes/SNPs in exomes of 72 healthy individuals including predominant Prakriti types and matched controls from a North Indian Indo-European cohort (2) establishment of a consortium network and development of five genetically homogeneous cohorts from diverse ethnic and geo-climatic background (3) identification of parameters and development of uniform standard protocols for objective assessment of Prakriti types (4) development of protocols for Prakriti evaluation and its application in more than 7500 individuals in the five cohorts (5) Development of data and sample repository and integrative omics pipelines for identification of genomic correlates. Highlight of the study are (1) Exome sequencing revealed significant differences between Prakriti types in 28 SNPs of 11 FDA approved genes of pharmacogenomics relevance viz. CYP2C19, CYP2B6, ESR1, F2, PGR, HLA-B, HLA-DQA1, HLA-DRB1, LDLR, CFTR, CPS1. These variations are polymorphic in diverse Indian and world populations included in 1000 genomes project. (2) Based on the phenotypic attributes of Prakriti we identified anthropometry for anatomical features, biophysical parameters for skin types, HRV for autonomic function tests, spirometry for vital capacity and gustometry for taste thresholds as objective parameters. (3) Comparison of Prakriti phenotypes across different ethnic, age and gender groups led to identification of invariant features as well as some that require weighted considerations across the cohorts. Considering the molecular and genomics differences underlying Prakriti and relevance in disease pharmacogenomics studies, this novel integrative platform would help in identification of differently susceptible and drug responsive population. Additionally, integrated analysis of phenomic and genomic variations would not only allow identification of clinical and genomic markers of Prakriti for application in personalized medicine but also its integration in drug discovery and development programs. Show less

Various population studies have reported the association of rare S2 allele of apolipoprotein C3 (APOC3) SstI polymorphism with hypertriglyceridemia (HTG) and coronary artery disease (CAD). We were the first to report an association of S2 allele with high triglyceride (TG) levels in healthy volunteers from Northern India. Since HTG is suggested to be a predominant risk factor for CAD among Indians, we have elucidated the relationship of APOC3 SstI polymorphism with the lipid profile and CAD. A total of 158 patients with > or = 70% stenosis in one or more coronary artery (angiographically proven CAD patients), 35 subjects with < 70% stenosis (NCAD) and 151 normal controls (free of heart disease) from Northern plains of India were recruited in the study. DNA samples were analyzed by polymerase chain reaction (PCR) followed by SstI digestion. Lipid profile was estimated by enzymatic kit. We found a strong association of S2 allele with high TG levels, which was more significant in patients. Prevalence of S2 allele in normal controls and CAD patients were comparable, despite the fact that mean TG level was significantly higher in patients. A greater insight into this observation revealed that the prevalence of high TG, if not coupled with other risk factors (like high total cholesterol, low HDL), was comparable in patients and controls. Thus, our study reveals that rare S2 allele may be employed as a susceptibility marker for high TG. However, high TG or S2 allele alone may not contribute to the etiology of CAD. Show less

Several studies including a small case-control (hypertriglyceridemic/normotriglyceridemic individuals) study by us revealed close association between rare S2 allele ofAPOC3 Sstl polymorphism and hypertriglyceridemia. With the understanding that Asian Indians are highly vulnerable to the adverse effects of hypertriglyceridemia, we extended the investigation and studied the frequency distribution of this polymorphism in 216 healthy volunteers from Northern plains of India. We found that more than 50% of the study population had one or two S2 allele. This may suggest that a larger fraction of this population is genetically predisposed to hypertriglyceridemia. Show less

A close association between Sst I polymorphism in the 3' untranslated region of the apolipoproteinC3 (APOC3) gene and levels of plasma triglycerides (TG) had been reported by different investigators. Hypertriglyceridemia(HTG) is a known risk factor for coronary artery disease (CAD) in the context of Asian Indians. We conducted a study on the relationship between APOC3 SstI polymorphism (S1S1, S1S2 and S2S2 genotypes) and plasma TG levels in a group of 139 male healthy volunteers from Northern India. DNA samples were analyzed by polymerase chain reaction (PCR) followed by SstI digestion. Digested PCR products were run on 3% agarose gel and visualized by ethidium bromide staining. Rare S2 allele was highly prevalent in our study population (0.313) as compared to the Caucasians (0.00-0.11). The genotypic distribution was in agreement with Hardy-Weinberg equilibrium. S2 allele was almost two times more prevalent in the HTG group (N = 34) as compared to NTG group (N = 105) (p = 0.001). Multiple logistic regression revealed S1S2 individuals had age-adjusted odds ratio of 2.43 (95%CI = 0.99-6.01, p = 0.054) and S2S2 had 9.9 (95%CI = 2.66-37.29, p = 0.0006) for developing HTG in comparison to S1S1 genotype. Our study shows a significant association between rare S2 allele and HTG in Asian Indians. Show less