👤 Ashish Ashish

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder influenced by genetic, metabolic, and lifestyle factors. Polymorphisms in the methylenetetrahydrofolate reductase (MTHFR) gene, notably C677T and A1298C, may increase AD susceptibility through disruptions in one-carbon metabolism and homocysteine accumulation. This study examined the association of MTHFR C677T and A1298C variants with metabolic alterations, cognitive decline, and AD risk. A case-control study was conducted with 120 AD patients and 120 cognitively healthy controls. Cognitive function was assessed using the Hindi Mini-Mental State Examination (HMMSE) and Hindi Mattis Dementia Rating Scale (HMDRS). MRI evaluated white matter hyperintensities and cortical atrophy. Biochemical markers, including homocysteine, folate, and vitamin B12, were measured. Genotyping was performed via TaqMan SNP assays. Functional enrichment and protein-protein interaction analyses were conducted to investigate molecular mechanisms. AD cases demonstrated elevated homocysteine and blood glucose, reduced folate, and impaired cognition. Both MTHFR C677T and A1298C polymorphisms were significantly associated with AD risk under dominant and over-dominant models (ORs 3.41-4.09). Risk-allele carriers exhibited pronounced metabolic alterations. Bioinformatics analyses revealed disruption in one-carbon metabolism, oxidative stress defense, and vascular pathways, with indirect interactions between MTHFR and key AD genes (APP, PSEN1/2, MAPT, APOE, CLU, PICALM, SORL1). MTHFR C677T and A1298C variants contribute to AD susceptibility through metabolic and vascular mechanisms that exacerbate cognitive decline. Integrating genetic, biochemical, and cognitive assessments highlights potential targets for early prevention and therapeutic interventions. Show less

Fibrosis is a leading cause of morbidity and mortality worldwide. Although fibrosis may involve different organ systems, transforming growth factor-β (TGFβ) has been established as a master regulator of fibrosis across organs. Pirfenidone and Nintedanib are the only currently-approved drugs to treat fibrosis, specifically idiopathic pulmonary fibrosis, but their mechanisms of action remain poorly understood. To identify novel drug targets and uncover potential mechanisms by which these drugs attenuate fibrosis, we performed an integrative 'omics analysis of transcriptomic and proteomic responses to TGFβ1-stimulated lung fibroblasts. Significant findings were annotated as associated with pirfenidone and nintedanib treatment in silico via Coremine. Integrative 'omics identified a co-expressed transcriptomic and proteomic module significantly correlated with TGFβ1 treatment that was enriched (FDR-p = 0.04) with genes associated with pirfenidone and nintedanib treatment. While a subset of genes in this module have been implicated in fibrogenesis, several novel TGFβ1 signaling targets were identified. Specifically, four genes (BASP1, HSD17B6, CDH11, and TNS1) have been associated with pirfenidone, while five genes (CLINT1, CADM1, MTDH, SYDE1, and MCTS1) have been associated with nintedanib, and MYDGF has been implicated with treatment using both drugs. Using the Clue Drug Repurposing Hub, succinic acid was highlighted as a metabolite regulated by the protein encoded by HSD17B6. This study provides new insights into the anti-fibrotic actions of pirfenidone and nintedanib and identifies novel targets for future mechanistic studies. Show less