Browsing by Author "Khan, Andleeb"

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    Antifungal Activity of Plant Secondary Metabolites on Candida albicans: An Updated Review
    (Bentham Science Publishers Ltd., 2022-08-05) Khan, Andleeb; Moni, Sivakumar Sivagurunathan; Ali, M.; Mohan, Syam; Jan, Huma; Rasool, Saiema; Kamal, Mohammad A.; Alshahrani, Saeed; Halawi, Maryam; Alhazmi, Hassan A.
    Fungal infections have been increasing continuously worldwide, especially in immunocompromised individuals. Fungi, regarded as eukaryotic pathogens, have many similarities to the host cells, which inhibit anti-fungal drug development progress. Various fungal model systems have been studied, and it was concluded that Candida spp. is the most common disease-causing fungus. Candida species are well known to cause infections not only in our mouth, skin, and vagina, but they are also a frequent cause of life-threatening hospital bloodstream infections. The morphological and developmental pathways of Candida have been studied extensively, providing insight into the fungus development. Candida albicans is known to be the most pathogenic species responsible for a variety of infections in humans. Conventional anti-fungal drugs, mainly azoles drugs available in the market, have been used for years developing resistance in C. albicans. Hence, the production of new anti-fungal drugs, which require detailed molecular knowledge of fungal pathogenesis, needs to be encouraged. Therefore, this review targets the new approach of "Green Medicines" or the phytochemicals and their secondary metabolites as a source of novel anti-fungal agents to overcome the drug resistance of C. albicans, their mechanism of action, and their combined effects with the available anti-fungal drugs.
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    Current Trends of Computational Tools in Geriatric Medicine and Frailty Management
    (Daffodil International University, 2022-07-19) Louka, Anna Maria; Tsagkaris, Christos; Christoforou, Panagiotis; Khan, Andleeb; Alexiou, Filia; Simou, Panagiota; Haranas, Loannis; Gkigkitzis, Loannis; Zouganelis, Georgios; Jha, Niraj Kumar; Uddin, Md Sahab; Shen, Bairong; Kamal, Mohammad A.; Ashraf, Ghulam Md; Alexiou, Athanasios
    While frailty corresponds to a multisystem failure, geriatric assessment can recognize multiple pathophysiological lesions and age changes. Up to now, a few frailty indexes have been introduced, presenting definitions of psychological problems, dysregulations in nutritional intake, behavioral abnormalities, and daily functions, genetic, environmental, and cardiovascular comorbidities. The geriatric evaluation includes a vast range of health professionals; therefore, we describe a broad range of applications and frailty scales-biomarkers to investigate and formulate the relationship between frailty lesions, diagnosis, monitoring, and treatment. Additionally, artificial intelligence applications and computational tools are presented, targeting a more efficacy individualized geriatric management of healthy aging.