Topical Tacrolimus Ointment Alone versus in Combination with Microneedling for Refractory Stable Vitiligo.

OBJECTIVE: To assess the efficacy of microneedling in combination with topical tacrolimus ointment 0.1% versus topical tacrolimus ointment 0.1% for treatment of refractory stable vitiligo. STUDY DESIGN: Comparative cross-sectional study. Place and Duration of the Study: Department of Dermatology, PNS Shifa, Karachi, Pakistan, from December 2022 to May 2023. METHODOLOGY: The study included 30 clinically diagnosed individuals of either gender who had refractory symptoms and aged between 20 and 60 years. For every patient, two comparable lesions on two comparable limb regions were selected. Group A (right side) received treatment with both topical tacrolimus ointment 0.1% twice daily in addition to microneedling every two weeks, whereas, Group B (left side) was treated with topical tacrolimus ointment 0.1% only. Every lesion was investigated as a separate entity. Both groups were subsequently observed for a further six months. RESULTS: When topical tacrolimus ointment 0.1% was combined with microneedling, the total re-pigmentation rate was substantially higher than the usage of tacrolimus ointment 0.1% alone. Fifty-three percent of lesions treated with topical tacrolimus ointment 0.1% alone and 76.7% of lesions treated with microneedling in conjunction with it showed a good-to-excellent response. No adverse negative effects were noted. During the follow-up period, no problems or recurrences were noted. CONCLUSION: Tacrolimus ointment combined with microneedling is a successful treatment for refractory stable vitiligo. KEY WORDS: Dermapen, Depigmentation, Microneedling, Tacrolimus ointment, Vitiligo.

Naegleria fowleri - The brain-eating amoeba: an emerging threat in Pakistan.

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Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion.

Human action recognition (HAR) has gained significant attention recently as it can be adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task because of the variety of human actions in daily life. Various solutions based on computer vision (CV) have been proposed in the literature which did not prove to be successful due to large video sequences which need to be processed in surveillance systems. The problem exacerbates in the presence of multi-view cameras. Recently, the development of deep learning (DL)-based systems has shown significant success for HAR even for multi-view camera systems. In this research work, a DL-based design is proposed for HAR. The proposed design consists of multiple steps including feature mapping, feature fusion and feature selection. For the initial feature mapping step, two pre-trained models are considered, such as DenseNet201 and InceptionV3. Later, the extracted deep features are fused using the Serial based Extended (SbE) approach. Later on, the best features are selected using Kurtosis-controlled Weighted KNN. The selected features are classified using several supervised learning algorithms. To show the efficacy of the proposed design, we used several datasets, such as KTH, IXMAS, WVU, and Hollywood. Experimental results showed that the proposed design achieved accuracies of 99.3%, 97.4%, 99.8%, and 99.9%, respectively, on these datasets. Furthermore, the feature selection step performed better in terms of computational time compared with the state-of-the-art.

Anti-aging Natural Compounds and their Role in the Regulation of Metabolic Pathways Leading to Longevity.

Aging is an unavoidable process, leading to cell senescence due to physiochemical changes in an organism. Anti-aging remedies have always been of great interest since ancient times. The purpose of anti-aging activities is to increase the life span and the quality of life. Anti-aging activities are primarily involved in the therapies of age-related disorders such as Parkinson's Disease (PD), Alzheimer's Disease (AD), cardiovascular diseases, cancer, and chronic obstructive pulmonary diseases. These diseases are triggered by multiple factors that are involved in numerous molecular pathways including telomere shortening, NF-κB pathway, adiponectin receptor pathway, insulin, and IGF signaling pathway, AMPK, mTOR, and mitochondria dysfunction. Natural products are known as effective molecules to delay the aging process through influencing metabolic pathways and thus ensure an extended lifespan. These natural compounds are being utilized in drug design and development through computational and high throughput techniques for effective pro-longevity drugs. A comprehensive study on natural compounds demonstrating their anti-aging activities along with databases of natural products for drug designing was executed and summarized in this review article.

Pharmacoinformatics and molecular docking reveal potential drug candidates against Schizophrenia to target TAAR6.

Schizophrenia (SZ) is a complex disabling disorder that leads to the mental disability and afflicts 1% of the world's total population and placed in top ten medical disorders. In current work, bioinformatics analyses were carried out on Trace amine (TA)-associated receptor 6 (TAAR6) to recognize the potential drugs and compounds against SZ. Comparative modeling and threading-based approaches were utilized for the structure prediction of TAAR6. Fifty-nine predicted structures were evaluated by various model assessment techniques and final model having only eight amino acids in the outlier region and 98.5% overall quality factor was chosen for further pharmacoinformatics and molecular docking analyses. From an extensive literature review, 11 Food and Drug Administration (FDA) approved drugs were analyzed by computational techniques and Aripiprazole was found as the most effective drug against SZ by targeting TAAR6. Here, we report five novel molecules which exhibited the highest binding affinity, effective drug properties, and interestingly, observed better results than the approved selected drugs against SZ by targeting TAAR6. The docking analyses revealed that Arg-92, Trp-98, Gln-191, Thr-192, Ala-290, Cys-291, Tyr-293, and Glu-294 residues were observed as critical interacting residues in receptor-ligand interactions. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties, Lipinski rule of five, highest binding affinity coupled with virtual screening (VS), and pharmacophore modeling approach illustrated that aripiprazole (-8.6 kcal/mol) and TAAR6_0094 (-9.3 kcal/mol) are potential inhibitors for targeting TAAR6. It is suggested that schizophrenic patients have to use Aripiprazole for the medication of SZ by targeting TAAR6 and develop effective therapies by utilizing scrutinized novel compound.