Transcriptomic Downregulation of APOE, Polymorphic Variations of APOE, Diet, Social Isolation, and Co-morbidities as Contributing Factors to Alzheimer's Disease: a Case-Control Study of Kashmiri Population.

Alzheimer's disease (AD) is the most common form of dementia, generally affecting elderly people in the age group of above 60-65 years. Amyloid deposition has been found to be a possible cause and a characteristic feature of Alzheimer's disease. Mutations, variant genotypes, or downregulation that reduce amyloid clearance or accelerate amyloid accumulation can lead to Alzheimer's disease. This study involved clinically confirmed AD patients, age matched controls of similar ethnicity, and patients who had no history of cancer or any other chronic disease. DNA and RNA extractions of samples were done as per Saguna et al. [45] and TRIzol method, respectively. Frequencies of variant genotypes were observed using the RFLP technique, whereas, for expression analysis, qPCR was performed. The association between diet, smoking status, family history, and co-morbidities was calculated using statistical tools. Expression analysis showed downregulation in more than 65% of AD cases. Hypertension and diabetes also had a significant association with AD. Allelic isoforms ε2:ε2 and ε2:ε3 tend to be less frequent among AD cases compared to controls (2.85% vs 26.15% and 11.42% vs 21.43%, respectively). Among individuals (AD cases) with ε2:ε3 and ε2:ε4, 37.5% of the patients were having severe dementia and 62.5% were having mild to moderate dementia, whereas, among individuals with ε3:ε4 and ε4:ε4, 57% were having severe dementia and 43% were having mild to moderate dementia. Besides this, all early-onset Alzheimer's patients were found to have at least one ε4 allele. The percentage of individuals with family history (cases vs controls) was 34.17% vs 3.75%, without family history 64.55% vs 95%. On comparing AD cases against controls for smoking status, the results observed are the following: chain smokers, 12.65% vs 18.75%; moderate smokers, 16.45% vs 6.25%; ex-smokers, 36.70% vs 22.50%; non-smokers, 34.17% vs 52.50%. On comparing dietary habits in AD cases against controls, the results were as follows: individuals with generally fatty diet 26.58% vs 11.25%, with mixed diet 36.70% vs 78.75%, with generally vegetarian diet 34.17% vs 10.00%, data not available 2.53% among AD cases. Family history, dietary habits, genetics, and socioeconomic status are strongly associated with the development of Alzheimer disease. Although family history or genetic makeup cannot be changed, eating habits can be changed quite easily. We simply need to go from a high-fat diet to one that is lower in fat. Regarding socioeconomic status, which includes stress of both kinds, including economic stress, stress brought on by the loss of loved ones through death or separation, and co-morbidities (hypertension and diabetes), all are manageable and even modifiable through counseling, positive behavior, and physical activity like exercise, walking, cycling, and playing games.

Biomarkers: Tools for Discriminating MODY from Other Diabetic Subtypes.

Maturity Onset Diabetes of Young (MODY), characterized by the pancreatic b-cell dysfunction, the autosomal dominant mode of inheritance and early age of onset (often ≤25 years). It differs from normal type 1 and type 2 diabetes in that it occurs at a low rate of 1-5%, three-generational autosomal dominant patterns of inheritance and lacks typical diabetic features such as obesity. MODY patients can be managed by diet alone for many years, and sulfonylureas are also recommended to be very effective for managing glucose levels for more than 30 years. Despite rapid advancements in molecular disease diagnosis methods, MODY cases are frequently misdiagnosed as type 1 or type 2 due to overlapping clinical features, genetic testing expenses, and a lack of disease understanding. A timely and accurate diagnosis method is critical for disease management and its complications. An early diagnosis and differentiation of MODY at the clinical level could reduce the risk of inappropriate insulin or sulfonylurea treatment therapy and its associated side effects. We present a broader review to highlight the role and efficacy of biomarkers in MODY differentiation and patient selection for genetic testing analysis.

Clinical profiling and screening for HNF4α and GCK gene mutations in Kashmiri patients with maturity-onset diabetes of the young (MODY).

AIM: Maturity-onset Diabetes of Young (MODY) is a monogenic form of diabetes affecting 1-5% of young (often ≤25 years) diabetic patients exhibiting an autosomal dominant mode of inheritance. Considering the significance of genetic polymorphisms in a variety of diseases, this study aimed to determine the association between HNF4α and GCK gene polymorphisms and the risk of MODY in the Kashmir community, as well as their clinical differences. METHOD: The study was conducted on clinically confirmed MODY patients (n = 50), and age and gender-matched controls (25 T1DM and 25 non-diabetic) recruited from the endocrinology department of the hospital, for evaluating the HNF4α and GCK mutation. Under standard conditions, PCR-mediated amplification was done to evaluate the respective exons. Preliminary mutations were detected using restriction enzymes (BfaI and HhaI), which were then followed by sequencing of representative samples. The diabetic history, clinical and biochemical data were obtained after proper consent. RESULTS: Our data revealed no association of HNF4α (exon7) and GCK (exon8) gene mutation with MODY disease susceptibility in the Kashmiri population. On diagnosis, no MODY patient was given immediate insulin; instead, metformin (68%) or sulphonyl-urea (28%) and dietary changes (4%) were recommended. Later in life, 54% of MODY patients develop insulin dependency. The MODY probability was calculated to be 73.88% (±4.56). HbA1c levels were lower [7.48% (±1.64)] than in T1DM [9.17(±2.29%)]. CONCLUSIONS: Young early-onset diabetic patients were able to keep their HbA1c and blood glucose levels stable with a modified diet and metformin/sulphonyl-urea, but they may become insulin-dependent in the future, as seen in our study. As a result, prompt diagnosis and management are essential for avoiding complications. Furthermore, no HNF4α (exon7) or GCK (exon 8) mutations were found in MODY patients or T1DM/healthy non-diabetic controls.

Environmental Factors as Diabetic Mediators: A Mechanistic Approach.

Despite substantial investment in research and treatment options, diabetes mellitus remains a pressing public health concern with potential epidemic proportions globally. There are reports that by the end of 2040, 642 million people will be suffering from diabetes. Also, according to an estimation, 1.6 million deaths were caused directly by diabetes in 2016. Diabetes is a metabolic disorder characterized by impaired glucose regulation in the body due to the destruction of pancreatic ß-cells or insulin resistance. Genetic propensity, unhealthy and imbalanced diet, obesity and increasing urbanization are the common risk factors for diabetes. Besides this, it has been reported that environmental pollutants like organic pesticides, heavy metals, and air pollutants act as strong predisposing factors for diabetes owing to their highly bio-accumulative nature. These pollutants disturb glucose homeostasis either by up-regulating or down-regulating the expression of diabetic marker genes like insulin (INS) and glucokinase (GCK). Unfortunately, the molecular mechanism of the role of pollutants in causing diabetes is not very clear. This mechanistic review provides evidence of different environmental determinants, including persistent organic pollutants (POPs), air pollutants, toxic metals, etc., in inducing diabetes and proposes a framework for the possible mechanisms involved. It also illuminates the current status and future challenges, which will not only broaden our understanding but can also be a reasonable platform for further investigation.

Genetic Testing of Maturity-Onset Diabetes of the Young Current Status and Future Perspectives.

Diabetes is a global epidemic problem growing exponentially in Asian countries posing a serious threat. Among diabetes, maturity-onset diabetes of the young (MODY) is a heterogeneous group of monogenic disorders that occurs due to ß cell dysfunction. Genetic defects in the pancreatic ß-cells result in the decrease of insulin production required for glucose utilization thereby lead to early-onset diabetes (often <25 years). It is generally considered as non-insulin dependent form of diabetes and comprises of 1-5% of total diabetes. Till date, 14 genes have been identified and mutation in them may lead to MODY. Different genetic testing methodologies like linkage analysis, restriction fragment length polymorphism, and DNA sequencing are used for the accurate and correct investigation of gene mutations associated with MODY. The next-generation sequencing has emerged as one of the most promising and effective tools to identify novel mutated genes related to MODY. Diagnosis of MODY is mainly relying on the sequential screening of the three marker genes like hepatocyte nuclear factor 1 alpha (HNF1α), hepatocyte nuclear factor 4 alpha (HNF4α), and glucokinase (GCK). Interestingly, MODY patients can be managed by diet alone for many years and may also require minimal doses of sulfonylureas. The primary objective of this article is to provide a review on current status of MODY, its prevalence, genetic testing/diagnosis, possible treatment, and future perspective.

Genetic variants in metabolizing genes NQO1, NQO2, MTHFR and risk of prostate cancer: a study from North India.

Quinone oxidoreductases (NAD(P)H): quinone oxidoreductase 1 (NQO1) and NRH: quinone oxidoreductase 2 (NQO2) are an antioxidant enzyme, important in the detoxification of environmental carcinogens. Methylene-tetra-hydrofolate reductase (MTHFR), plays a role in folate metabolism and may have oncogenic role through disruption of normal DNA methylation pattern, synthesis, and impaired DNA repair. In a case-control study, genotyping was done in 195 PCa and 250 age matched unrelated healthy controls of similar ethnicity to determine variants in NQO1 exon 4 (C > T, rs4986998), exon 6 (C > T, rs1800566), NQO2 -3423 (G > A, rs2070999) and MTHFR exon 4 (C > T, rs1801133) by PCR-RFLP methods. Heterozygous genotype CT and variant allele career genotype (CT + TT) of NQO1 exon 4 showed increased risk of PCa (OR = 2.06, p = 0.033; OR = 2.02, p = 0.027). Variant allele T also revealed increased risk (OR = 1.87, p = 0.029). Similarly variant genotype TT (OR = 2.71, p = 0.009), combined genotype (CT + TT) (OR = 1.59, p = 0.019) and T allele (OR = 1.63, p = 0.002) of NQO1 exon 6 demonstrated significant risk for PCa. Diplotypes of NQO1 (exon 4 and 6), C-T (OR = 1.56, Pc = 0.007) and T-T (OR = 0.011, Pc = 3.86) was associated with an increased risk for PCa. NQO2 and MTHFR did not show any risk with PCa. Our results strongly support that common sequence variants and diplotypes of NQO1 exon 4 and 6 genes may have role in PCa risk in the North Indian population, indicating the importance of genes involved in metabolism with respect to PCa risk. Additional studies on larger populations are needed to clarify the role of variation in these genes in PCa carcinogenesis.