Antioxidants for Skin Health.

Antioxidants play a pivotal role in maintaining skin health and integrity, combating the deleterious effects of oxidative stress induced by environmental aggressors such as UV ra-diation, pollution, and lifestyle factors. This paper reviews the contributions of key antioxidants, including Vitamin C, Vitamin E, Vitamin A, green tea extract, Coenzyme Q10, Resveratrol, Selenium, and Polyphenols, in skin health care. Vitamin C, known for its collagen synthesis promotion and photoprotection properties, alongside Vitamin E, a lipid-soluble antioxidant, syn-ergistically works to neutralize free radicals and repair damaged skin cells. Vitamin A, in the form of retinol, plays a critical role in skin cell regeneration and the maintenance of skin integ-rity. Green tea extract, rich in Polyphenols, offers anti-inflammatory and anticarcinogenic prop-erties, making it a potent ingredient for skin protection. Coenzyme Q10, a naturally occurring antioxidant in the body, aids in energy production for cell repair and regeneration, while Resveratrol, found in grapes and berries, provides anti-ageing benefits by enhancing skin's re-sistance to oxidative stress. Selenium, an essential mineral, contributes to the protection of skin cells from oxidative damage. The incorporation of these antioxidants in skincare products and dietary sources is discussed, highlighting the importance of a holistic approach in skincare re-gimes. The paper emphasizes the synergy between topical applications and dietary intake of antioxidants, advocating for a comprehensive strategy for promoting skin health and preventing age-related skin alterations. Method: For the review article, a variety of search engines and databases were used to identify relevant articles. Furthermore, for biomedical literature focusing on antioxidants and their ef-fects on skin health, PubMed was used. Moreover, to access a wide range of scholarly articles, including those related to dermatology and skincare, Google Scholar was used. Scopus provides comprehensive coverage of peer-reviewed literature across various scientific disciplines. Web of Science identifies high-impact articles and research on antioxidants in skincare. In addition, for accessing full-text articles on antioxidants and their applications in dermatology, Science Direct was used. The inclusion criteria for the review paper were as follows: only studies pub-lished in peer-reviewed journals were included to ensure the credibility and reliability of the information. Articles published in English were considered, to avoid language-related biases and ensure comprehension. Studies published within the last 10 years were included to provide the most current insights into antioxidant research in skincare. Articles must specifically focus on the role of antioxidants (Vitamin C, Vitamin E, Vitamin A, green tea extract, Coenzyme Q10, Resveratrol, Selenium, Polyphenols) in skin health care. Both experimental studies (in vivo and in vitro) and clinical trials were included to provide a comprehensive overview of the antioxidant effects. Full-text articles were included to allow for thorough data extraction and analysis. The exclusion criteria for the review paper were as follows: Publications that were not peer-re-viewed, such as editorials, opinion pieces, and non-scholarly articles, were excluded. Articles published in languages other than English were excluded due to potential translation challenges and to maintain consistency. Studies that did not focus on the specified antioxidants or their impact on skin health were excluded. Duplicate publications were excluded to avoid redundancy in the review. Articles with insufficient or incomplete data were excluded to ensure the quality and reliability of the review findings.

A systematic review and meta-analysis of the metal nano-particles loaded with herbal drugs moieties against breast cancer.

Background - Breast cancer is the most prevalent cancer among women. About 685K deaths were globally listed in 2020 by the World Health Organization. Nowadays, scientists prefer to use herbal medicines due to their low toxicity. Herbal medicines are used to overcome the toxicity effects of surgical removal, radio-chemo therapy and medication, which have a lot of risk of damaging the healthy tissues. To overcome this, enhance bioavailability and target specify, nano-formulation chemotherapy was introduced using herbal moiety for anticancer activity. The use of metallic nanoparticles (MNPs), particularly those made of silver, cobalt, zinc, and gold as contrast, antibacterial, anticancer, and drug delivery agents has revolutionised the medicinal field. Although MNPs can be made via exacting physical and chemical processes, a biological method utilising natural materials has been established recently. Objective - This review article will offer a succinct explanation of the use of MNPs and its potential impact on herbal medicines in the future. Methods - Using PRISMA principles, this review systematically examines studies that concentrate on metal nanoparticles loaded with herbal compounds for the treatment of breast cancer. Various Databases were studied: PubMed, Elsevier, ScienceDirect, SpringerLink, Taylor & Francis Online, ACS Publications, Publishing Royal Society of Chemistry, and Future Medicines. Studies were selected if they were peer-reviewed primary studies published in the past 10 years. Results - We found that many herbal nano-formulations are more effective in breast cancer treatment than other types of formulations. Efficacy, safety and drug stability are also enhanced using nano-formulations. Conclusion - Nano-formulation is found to be more effective in the treatment of breast cancer.

Phytochemicals in Anticancer Drug Development.

BACKGROUND: In spite of major technological advances in conventional therapies, cancer continues to remain the leading cause of mortality worldwide. Phytochemicals are gradually emerging as a rich source of effective but safer agents against many life-threatening diseases. METHODS: Various phytochemicals with reported anticancer activity have been simply categorized into major phytoconstituents- alkaloids, polyphenols, saponins, tannins and terpenoids. RESULTS: The adverse effects associated with currently available anticancer medications may be overcome by using plant-derived compounds either alone or in combination. Exploration of plant kingdom may provide new leads for the accelerated development of new anticancer agents. CONCLUSION: Although numerous potent synthetic drugs have been introduced for cancer chemotherapy, yet their serious toxicity concerns to normal cells apart from drug resistance have emerged as the major obstacles for their clinical utility over a prolonged duration of time. Current status and potential of phytochemicals and their derivatives in cancer therapy have been briefly reviewed in the present manuscript.

Diverse models for anti-HIV activity of purine nucleoside analogs.

BACKGROUND: Purine nucleoside analogs (PNAs) constitute an important group of cytotoxic drugs for the treatment of neoplastic and autoimmune diseases. In the present study, classification models have been developed for the prediction of the anti-HIV activity of purine nucleoside analogs. RESULTS: The topochemical version of superaugmented pendentic index-4 has been proposed and successfully utilized for the development of models. A total of 60 2D and 3D molecular descriptors (MDs) of diverse nature were selected for building the classification models using decision tree (DT), random forest (RF), support vector machine (SVM), and moving average analysis (MAA). The values of most of these descriptors for each of the analogs in the dataset were computed using the Dragon software (version 5.3). An in-house computer program was also employed to calculate additional MDs which were not included in the Dragon software. DT, RF, and SVM correctly classified the analogs into actives and inactives with an accuracy of 89 %, 83 %, and 78 %, respectively. MAA-based models predicted the anti-HIV activity of purine nucleoside analogs with a non-error rate up to 98 %. Therapeutic active spans of the suggested MAA-based models not only showed more potency but also exhibited enhanced safety as revealed by comparatively high values of selectivity index (SI). The statistical importance of the developed models was appraised via intercorrelation analysis, specificity, sensitivity, non-error rate, and Matthews correlation coefficient. CONCLUSIONS: High predictability of the proposed models clearly indicates an immense potential for developing lead molecules for potent but safe anti-HIV purine nucleoside analogs.

Models for H3 receptor antagonist activity of sulfonylurea derivatives.

The histamine H3 receptor has been perceived as an auspicious target for the treatment of various central and peripheral nervous system diseases. In present study, a wide variety of 60 2D and 3D molecular descriptors (MDs) were successfully utilized for the development of models for the prediction of antagonist activity of sulfonylurea derivatives for histamine H3 receptors. Models were developed through decision tree (DT), random forest (RF) and moving average analysis (MAA). Dragon software version 6.0.28 was employed for calculation of values of diverse MDs of each analogue involved in the data set. The DT classified and correctly predicted the input data with an impressive non-error rate of 94% in the training set and 82.5% during cross validation. RF correctly classified the analogues into active and inactive with a non-error rate of 79.3%. The MAA based models predicted the antagonist histamine H3 receptor activity with non-error rate up to 90%. Active ranges of the proposed MAA based models not only exhibited high potency but also showed improved safety as indicated by relatively high values of selectivity index. The statistical significance of the models was assessed through sensitivity, specificity, non-error rate, Matthew's correlation coefficient and intercorrelation analysis. Proposed models offer vast potential for providing lead structures for development of potent but safe H3 receptor antagonist sulfonylurea derivatives.