Publications by authors named "Mukesh Chandra Sharma"

Artificial intelligence (AI) is one of the fastest-growing fields in various industries, including engineering, architecture, medical and clinical research, aerospace, and others. AI, which is a combination of machine learning (ML), deep learning (DL), and human intelligence (HI), is revolutionizing drug discovery and development by making it more cost-effective and efficient. It is also being used in fields such as medicinal chemistry, molecular and cell biology, pharmacology, pharmacokinetics, formulation development, and toxicology.

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The immune system presents significant obstacles to gene therapy, which has limited its use in treating many illnesses. New approaches are needed to overcome these problems and improve the effectiveness of gene therapy. This study explores several techniques to immune regulation within gene therapy, a cutting-edge discipline that aims to optimise results by fine-tuning the immune response.

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Diabetic neuropathy is a persistent consequence of the biochemical condition known as diabetes mellitus. As of now, the identification and management of diabetic neuropathy continue to be problematic due to problems related to the safety and efficacy of existing therapies. This study examines biomarkers, molecular and cellular events associated with the advancement of diabetic neuropathy, as well as the existing pharmacological and non-pharmacological treatments employed.

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Article Synopsis
  • Neurological disorders are increasingly recognized as a significant health challenge due to oxidative stress and inflammation, which disrupt the brain's natural defenses and contribute to neurodegenerative diseases.
  • Recent advancements in the development of antioxidant compounds, including polyphenols, vitamins, and flavonoids, show promise for therapeutic applications in treating these disorders.
  • This review highlights the mechanisms of oxidative stress in neurodegenerative diseases like Alzheimer's, Parkinson's, and Huntington's, aiming to improve treatment strategies and enhance patient quality of life.
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Background: Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by the progressive formation of extracellular amyloid plaques, intracellular neurofibrillary tangles, inflammation, and impaired antioxidant systems. Early detection and intervention are vital for managing AD effectively.

Objective: This review scrutinizes both in-vivo and in-vitro screening models employed in Alzheimer's disease research.

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Background: The increasing specialization and dispersion of healthcare systems have led to a shortage of resources to address comorbidities. Patients with coexisting mental and physical conditions are disadvantaged, as medical providers often only focus on the patient's mental illness while neglecting their physical needs, resulting in poorer health outcomes.

Objective: This study aimed to shed light on the systemic flaws in healthcare systems that contribute to suboptimal health outcomes in individuals with comorbid diseases, including depression and diabetes.

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Metabolic disorders have long been a challenge for medical professionals and are a leading cause of mortality in adults. Diabetes, cardiovascular disorders (CVD), renal dysfunction, and ischemic stroke are the most prevalent ailments contributing to a high mortality rate worldwide. Reactive oxygen species are one of the leading factors that act as a fundamental root cause of metabolic syndrome.

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To date, nanomaterials have been widely used for the treatment and diagnosis of rheumatoid arthritis. Amongst various nanomaterials, polymer-based nanomaterials are becoming increasingly popular in nanomedicine due to their functionalised fabrication and easy synthesis, making them biocompatible, cost-effective, biodegradable, and efficient nanocarriers for the delivery of drugs to a specific target cell. They act as photothermal reagents with high absorption in the near-infrared region that can transform near-infrared light into localised heat with fewer side effects, provide easier integration with existing therapies, and offer increased effectiveness.

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Background: Prostate cancer (PC) has the highest prevalence in men and accounts for a high rate of neoplasia-related death. Doxorubicin (DOX) is one of the most widely used anti-neoplastic drugs for prostate cancer among others. However, it has low specificity and many side effects and affects normal cells.

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