Publications by authors named "S N Deepa"
Article Synopsis
- This study investigates the role of necroptosis-induced inflammation in the progression of chronic liver disease and liver cancer in mice on a Western diet, which is high in fat and sugar.
- Using mouse models that overexpress necroptosis-related genes (Ripk3 or Mlkl), researchers observed significantly increased liver inflammation, steatosis, and fibrosis compared to control mice on the same diet.
- After 12 months, a higher percentage of mice with overexpressed genes developed liver tumors (62% for hRipk3-KI and hMlkl-KI mice vs. 28% for control), indicating that necroptosis-related inflammation contributes to liver disease progression in obesity.
Apolipoprotein E4 (apoE4) is the strongest genetic risk factor for Alzheimer's disease (AD). However, structural differences between apoE4 and the AD-neutral isoform, apoE3, still remain unclear. Recent studies suggest that apoE4 harbors intermediates.
View Article and Find Full Text PDFThe study focused on Syzygium cumini Leaf Extract (SCLE) loaded into Carboxymethylcellulose (CMC) film via Solution casting. Phytochemical screening revealed carbohydrates, and HPLC analysis identified quercetin, known for promoting wound healing. FT-IR spectroscopy confirmed various functional groups.
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- Endonasal endoscopic transsphenoidal surgery (TSS) is the main treatment for Cushing disease (CD), but patients often experience disease persistence and recurrence, with remission rates ranging from 64% to 93%.
- The study analyzes data from 167 patients who underwent 174 surgeries to identify factors linked to persistence and recurrence, along with exploring the significance of certain biological pathways and protein expressions in pituitary adenomas.
- Among primary surgeries, 75% of patients achieved remission, while rates were lower for revision surgeries (47.4%) and pediatric patients (55.5%), indicating variations in surgical success based on the type of procedure and patient demographics.
Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain and abnormalities for humans and on detecting at an early stage, timely treatment shall be initiated to the patients at the earliest to overcome this pain. In this research study, X-ray images are captured from the humans and the proposed Gaussian Aquila Optimizer based Dual Convolutional Neural Networks is employed for detecting and classifying the osteoarthritis patients. The new Gaussian Aquila Optimizer (GAO) is devised to include Gaussian mutation at the exploitation stage of Aquila optimizer, which results in attaining the best global optimal value.
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