A5052455762- Endoplasmic Reticulum Stress and Disease
- Cancer, Hypoxia, and Metabolism
- EEG and Brain-Computer Interfaces
- Alzheimer's disease research and treatments
- SARS-CoV-2 and COVID-19 Research
- Functional Brain Connectivity Studies
- Bioinformatics and Genomic Networks
- Metabolism, Diabetes, and Cancer
- Blind Source Separation Techniques
- Adipose Tissue and Metabolism
- Pancreatic function and diabetes
- Neural Networks and Applications
- Parasites and Host Interactions
- Vitamin D Research Studies
- Diet, Metabolism, and Disease
- Sleep and related disorders
- Currency Recognition and Detection
- Neural dynamics and brain function
- Mitochondrial Function and Pathology
- Enzyme Catalysis and Immobilization
- Fractal and DNA sequence analysis
- Control Systems and Identification
- COVID-19 diagnosis using AI
- Parasitic Diseases Research and Treatment
- COVID-19 Clinical Research Studies
St. Jude Children's Research Hospital
2024-2025
SRM University
2024
University College Dublin
2023
University of Kalyani
2020-2022
Indian Statistical Institute
2015-2019
Govind Ballabh Pant Hospital
2013
Murine models of Alzheimer's disease (AD) are crucial for elucidating mechanisms but have limitations in fully representing AD molecular complexities. Here we present the comprehensive, age-dependent brain proteome and phosphoproteome across multiple mouse amyloidosis. We identified shared pathways by integrating with human metadata prioritized components multi-omics analysis. Collectively, two commonly used (5xFAD APP-KI) replicate 30% protein alterations; additional genetic incorporation...
Obesity is characterized by a state of chronic, unresolved inflammation in insulin-targeted tissues. Obesity-induced causes accumulation proinflammatory macrophages adipose tissue and liver. Proinflammatory cytokines released from inhibits insulin sensitivity. also leads to inflammation-induced endoplasmic reticulum (ER) stress resistance. In this scenario, based on the data (specifically patterns) generated our vivo experiments both diet-induced obese (DIO) normal chow diet (NCD) mice, we...
Aims: To evaluate clinical profile and short-term outcome of psychogenic non-epileptic seizures (PNES) in Indian adult population. Setting Design: A prospective observational study, conducted at tertiary teaching institute New Delhi. Materials Methods: Sixty-three patients with confirmed PNES were enrolled. The diagnosis was based on witnessing the event during video-electroencephalography (Video-EEG) monitoring. detailed evaluation done including for coexistent anxiety or depressive...
COVID-19 has emerged as deadly pandemic worldwide with no vaccine or suitable antiviral drugs to prevent cure the disease. Because of time-consuming process develop new vaccines agents, there been a growing interest in repurposing some existing combat SARS-CoV-2. Vitamin D is known be protective against acute respiratory distress syndrome (ARDS), pneumonia and cytokine storm. Recently it used repurposed drug for treatment H5N1 virus-induced lung injury. Circumstantial evidences indicate that...
In contrast with normal cells, most of the cancer cells depend on aerobic glycolysis for energy production in form adenosine triphosphate (ATP) bypassing mitochondrial oxidative phosphorylation. Moreover, compared to exhibit higher consumption glucose lactate. Again, rate provides necessary glycolytic intermediary precursors DNA, protein and lipid synthesis maintain high active proliferation tumor cells. this scenario, classical control theory based approach may be useful explore altered...
Epileptogenic brain connectivity networks are altered compared to normal ones. Here, we have investigated the properties of epileptogenic by applying graph theoretical, statistical and machine learning approaches resting state electroencephalography (EEG) recordings obtained from 30 volunteers 51 patients suffering generalized epilepsy. In case epileptic patients, found that behave like random networks. There is some loss in node connectivity. Hub nodes more affected during Hence, show less...
Dynamics of large nonlinear complex systems, like metabolic networks, depend on several parameters. A pathway may switch to another in accordance with the current state parameters both normal and cancer cells. Here, most parameter values are unknown us. fuzzy logic controller (FLC) has been developed here for purpose modeling networks by approximating reasons behaviour a system applying expert knowledge track switching between pathways. The simulation results can glycolysis gluconeogenesis,...
Interaction among different pathways, such as metabolic, signaling and gene regulatory networks, of cellular system is responsible to maintain homeostasis in a mammalian cell. Malfunctioning this cooperation may lead many complex diseases, cancer type 2 diabetes. Timescale differences these pathways make their integration daunting task. Metabolic, networks have three timescales, as, ultrafast, fast slow respectively. The article deals with problem by developing support vector regression...
The incidence and prevalence of nonalcoholic fatty liver disease (NAFLD) have been increasing to epidemic proportions around the world. NAFLD, a chronic that affects nondrinkers, is mainly associated with steatohepatitis cirrhosis. progression NAFLD obesity increases risk cancer, poor outcomes limited therapeutic options. In order investigate underlying cellular dynamics leading towards cancer on onset obesity, we integrated human hepatocyte pathway hypoxia-inducible factor1- α (HIF1- )...
Abstract Murine models of Alzheimer’s disease (AD) are crucial for elucidating mechanisms but have limitations in fully representing AD molecular complexities. We comprehensively profiled age-dependent brain proteome and phosphoproteome ( n > 10,000 both) across multiple mouse amyloidosis. identified shared pathways by integrating with human metadata, prioritized novel components multi-omics analysis. Collectively, two commonly used (5xFAD APP-KI) replicate 30% the protein alterations;...
<title>Abstract</title> Murine models of Alzheimer’s disease (AD) are crucial for elucidating mechanisms but have limitations in fully representing AD molecular complexities. We comprehensively profiled age-dependent brain proteome and phosphoproteome (n > 10,000 both) across multiple mouse amyloidosis. identified shared pathways by integrating with human metadata, prioritized novel components multi-omics analysis. Collectively, two commonly used (5xFAD APP-KI) replicate 30% the protein...
IJAR - Indian Journal of Applied Research (IJAR) is a double reviewed monthly print journal that accepts research works from scholars, academicians, professors, doctorates, lecturers, and corporate in their respective expertise studies.
Abstract The recent global COVID-19 outbreak, attributed by the World Health Organization to rapid spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), underscores need for an extensive exploration virological intricacies, fundamental pathophysiology, and immune responses. This investigation is vital unearth potential therapeutic avenues preventive strategies. Our study delves into intricate interaction between SARS-CoV-2 system, coupled with exploring interventions...
Abstract Obesity is characterized by a state of chronic, unresolved inflammation in insulin-targeted tissues. Obesity-induced accumulates proinflammatory macrophages adipose tissue and liver. Proinflammatory cytokines released from inhibits insulin sensitivity. Chromogranin A (CgA) peptide catestatin (CST: hCgA 352-372 ) improves obesity-induced hepatic resistance reducing inhibiting macrophage infiltration. leads to inflammation-induced endoplasmic reticulum (ER) stress resistance. We...
Epilepsy is a neurological condition of human being, mostly treated based on the patients’ seizure symptoms, often recorded over multiple visits to health-care facility. The lengthy time-consuming process obtaining recordings creates an obstacle in detecting epileptic patients real time. An signature validated EEG data similar kinds epilepsy cases will haste decision-making clinicians. In this paper, we have identified derived signatures for differentiating from normal individuals. Here...