Browsing by Author "Pandey, M"

Now showing 1 - 5 of 5
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    Correction to: Unlocking the potential of mesoporous silica nanoparticles in breast cancer treatment
    (2023-09) Thapa, R; Ali, H; Afzal, O; Ahmad Bhat, A; Almalki, WH; Alzarea, SI.; Kazmi, I; Altamimi, ASA; Jain, N; Pandey, M
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    Mechanistic Roles of Different Varieties of Honey on Wound Healing: Recent Update
    (2024-04) Naskar, A; Chatterjee, K; Pandey, M
    Background: Honey has been used for centuries for its medicinal benefits, where topical treatments in the folklore literature reported its beneficial role in treating different types of wounds. Despite its immense use in wound care, honey’s exact mechanism remains unclear. Purpose: The present study aimed to explore and abridge the gap between honey and its molecular wound healing mechanism. Methods: An extensive literature study has been performed where these activities can be explained due to phenolic compounds, nitric oxide, non-peroxide factors, low pH, high osmolarity, and hydrogen peroxide in honey. Besides that, honey also contains carbohydrates, proteins, amino acids, lipids, minerals, and vitamins, contributing to the wound healing potential to some extent. However, these metabolites and constituents differ among different honey varieties due to the distinct nutritional requirements of different species of bees and their collection of nectar from varied sources containing different natural actives. Results: The revival of honey-based wound care research has identified a few probable mechanistic pathways of honey primarily due to its anti-inflammatory, antioxidant, antimicrobial, and immunomodulatory potentials. It also promotes angiogenesis, facilitates reepithelialization, stimulates proliferation of extracellular matrix, reduces neutrophil formation, modulates production of TNF-α, IL-1β, and IL-6, and prevents secondary infection at the wound site. Conclusion: The varieties of honey vary in their qualities, phenolic compounds, and safety for human use. A few of these are currently clinically employed for wound dressings. Moreover, honey can be effective for managing complicated and chronic wounds; more extensive molecular research and safety profiling would be necessary.
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    Predictive genomic tools in disease stratification and targeted prevention: a recent update in personalized therapy advancements
    (2022-11) Jain, N; Nagaich, U; Pandey, M
    In the current era of medical revolution, genomic testing has guided the healthcare fraternity to develop predictive, preventive, and personalized medicine. Predictive screening involves sequencing a whole genome to comprehensively deliver patient care via enhanced diagnostic sensitivity and specific therapeutic targeting. The best example is the application of whole-exome sequencing when identifying aberrant fetuses with healthy karyotypes and chromosomal microarray analysis in complicated pregnancies. To fit into today’s clinical practice needs, experimental system biology like genomic technologies, and system biology viz., the use of artificial intelligence and machine learning is required to be attuned to the development of preven tive and personalized medicine. As diagnostic techniques are advancing, the selection of medical intervention can gradually be influenced by a person’s genetic composition or the cellular profiling of the affected tissue. Clinical genetic practitioners can learn a lot about several conditions from their distinct facial traits. Current research indicates that in terms of diagnosing syndromes, facial analysis techniques are on par with those of qualified therapists. Employing deep learning and computer vision techniques, the face image assessment software DeepGestalt measures resemblances to numerous of disorders. Bio markers are essential for diagnostic, prognostic, and selection systems for developing personalized medicine viz. DNA from chromosome 21 is counted in prenatal blood as part of the Down’s syndrome biomarker screening. This review is based on a detailed analysis of the scientific literature via a vigilant approach to highlight the applicability of predictive diagnostics for the development of preventive, targeted, personalized medicine for clinical application in the framework of predictive, preventive, and personalized medicine (PPPM/3 PM). Additionally, targeted prevention has also been elaborated in terms of gene-environment interactions and next-generation DNA sequencing. The application of 3 PM has been highlighted by an in-depth analysis of cancer and cardiovascular diseases. The real-time challenges of genome sequencing and personalized medicine have also been discussed.
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    Transform diabetes care with precision medicine
    (2023-10) Kannan, S; Chellappan, D; Kow, C; Pandey, M
    Abstract Background and Aims: Diabetes is a global concern. This article took a closer look at diabetes and precision medicine. Methods: A literature search of studies related to the use of precision medicine in diabetes care was conducted in various databases (PubMed, Google Scholar, and Scopus). Results: Precision medicine encompasses the integration of a wide array of personal data, including clinical, lifestyle, genetic, and various biomarker information. Its goal is to facilitate tailored treatment approaches using contemporary diagnostic and therapeutic techniques that specifically target patients based on their genetic makeup, molecular markers, phenotypic traits, or psychosocial characteristics. This article not only highlights significant advancements but also addresses key challenges, particularly focusing on the technologies that contribute to the realization of personalized and precise diabetes care. Conclusion: For the successful implementation of precision diabetes medicine, collaboration and coordination among multiple stakeholders are crucial.
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    Transform diabetes care with precision medicine
    (2023-10) Kannan, s; Chellappan, DK; Kow, CS; Ramachandram, DS; Pandey, M; Mayuren, J
    Background and Aims: Diabetes is a global concern. This article took a closer look at diabetes and precision medicine. Methods: A literature search of studies related to the use of precision medicine in diabetes care was conducted in various databases (PubMed, Google Scholar, and Scopus). Results: Precision medicine encompasses the integration of a wide array of personal data, including clinical, lifestyle, genetic, and various biomarker information. Its goal is to facilitate tailored treatment approaches using contemporary diagnostic and therapeutic techniques that specifically target patients based on their genetic makeup, molecular markers, phenotypic traits, or psychosocial characteristics. This article not only highlights significant advancements but also addresses key challenges, particularly focusing on the technologies that contribute to the realization of personalized and precise diabetes care. Conclusion: For the successful implementation of precision diabetes medicine, collaboration and coordination among multiple stakeholders are crucial.