Leucas zeylanica is a Bangladeshi plant with significant medicinal prospect: A review

Leucas zeylanica is one of the most precious gifts of nature to the entire civilization. It offers folkloric system a dependable option to heal numerous diseases like- burning urination, toothaches, common skin diseases, gout, inflammatory conditions, rheumatic diseases, abdominal pain, worms, anorexia, colic, flatulence, etc. Many of these ancient practices have got their scientific resemblances like- using as an agent for treating common pains, oxidative stresses, microbial infections, sleep disorders, inflammations, gout associated pains, thrombosis and sunlight related skin damages. Some researchers also isolated a huge bunch of vital phytochemicals like- torosaflavone A, drymariatin C, daidzein, luteolin 3′,4′-dimethyl ether, apigenin, tricin, chrysoeriol, linarigenin, β-sitosterol, stigmasterol, hexadecanoic acid, octadecanoic acid, 9,12,15- octadecatrienoic acid, farnesene, β-caryophyllene, caryophyllene oxide, phytol, β-cubebene, α-selinene, α-tocopherol etc. from different crude extracts of Leucas zeylanica. Making proper correlation between these phytoconstituents with the general utilizations of this plant will assist scientists to develop auspicious lead compounds. This review covers a summary of ethnomedicinal, phytochemical and biological studies of several crude preparations of Leucas zeylanica.

Fostering Apprentice Beauticians’ Visual Expertise Through Annotations: A Design Experiment Using the Platform Realto

Professional beauticians regularly perform skin analyses and should be skilled at observing small skin anomalies and skin damages. However, little is done directly for improving their observation skills at school, during their training. In order to foster apprentices’ observation skills of skin anomalies, a new training scheme exploiting annotations and attention-guiding methods through the use of the platform Realto was developed and tested.A second year class of apprentice beauticians (N=9) was given a pre-test on the visual expertise of skin anomalies. Then, for a semester they attended multiple training sessions where firstly teachers explained skin anomaly images with the help of annotations (attention-guiding) and secondly, students were asked to observe other images of the same anomalies, annotate them, and then provide a textual description of the identified anomaly.At the end of the semester, the trained class completed a post-test and a questionnaire, and group interview have been collected. Another group of apprentices (N=19) of the third year who already completed the skin anomaly course was used as baseline. Results showed that the group who participated in the treatment mentioned almost double the amount of details noticed by the baseline group in the post-test; being trained using annotations and the Realto platform proved effective in developing observation skills, compared to normal lessons. Furthermore, apprentices confirmed, both through the questionnaire and the interviews, that they considered annotations useful for improving their observation skills and that using Realto and its annotation facilities was a good way to achieve this result.

Personal Protective Equipment-Related Nasal Bridge Folliculitis in a Corona Warrior

Nasal bridge is a common site suffering personal protective equipment-induced skin damages over face among first-line health care workers in this coronavirus disease 2019 pandemic. We hereby report folliculitis as a complication following regular use of N95 respirator and goggles, unreported in literature till now.

Photoprotective and Inhibitory Activity of Tyrosinase in Extract and Fractions of Terminalia catappa L.

BACKGROUND: Chronic exposure to ultraviolet (UV) radiation causes various skin damages. One of the most significant risks to skin occurrence is cancer and photoaging. Recent strategies for photoprotection have included incorporating natural sunscreens and antityrosinase. AIM: This study aimed to determine the sun protection factor (SPF) and inhibitory activity of tyrosinase of the extract and fractions of leaves of Terminalia catappa Linn. METHOD: The dried leaves were macerated with 96% ethanol and fractionated using n-hexane, ethyl acetate, and water. The extract and fractions were screened for their phytochemical profile, and tyrosinase inhibitory activity was evaluated and expressed as IC50. The photoprotective activity of extract and fractions were measured by a UV spectrophotometric. RESULTS: Among the tested samples, the ethyl acetate fraction showed ultraprotection on erythema transmission rate (%TE), sunblock on pigmentation transmission (%TP), and minimum protection on SPF. Ethyl acetate fraction showed the highest activity to inhibit tyrosinase (IC50 was 50.54±2.37 μg/mL). The phytochemical analysis of ethyl acetate fraction revealed the presence of phenolic and flavonoid compounds. CONCLUSION: This study’s findings revealed a higher tyrosinase inhibitor and sun protection capacity of ethyl acetate fraction of leaves of T. catappa and suitable to develop as a cosmetic agent.

Prevention of UV-Induced Skin Cancer in Mice by Gamma Oryzanol-Loaded Nanoethosomes

Skin cancer is the most widespread cancer worldwide, mainly caused by exposure to ultraviolet radiation (UV) in sunlight. Utilizing topical preventive agents in routinely daily used cosmetics may prevent UV-related skin damages and skin cancers. γ-Oryzanol (GO) is a natural component derived from rice bran oil, with potential antioxidant and skin anti-aging properties. We biologically thorough studied the antioxidant and anticancer effects of GO in vitro to found the effective signaling pathways, then evaluated the sun protection factor of prepared formulation, and finally investigated the long-term preventive effects of GO-loaded nanoethosomes (GO-NEs) against UVB-induced skin cancer in mice. Our results suggest that GO-NEs could effectively prevent UVB-induced skin cancer and could be utilized as an innovative ingredient in cosmetics.

Facial UV photo imaging for skin pigmentation assessment using conditional generative adversarial networks

Skin pigmentation is associated with skin damages and skin cancers, and ultraviolet (UV) photography is used as a minimally invasive mean for the assessment of pigmentation. Since UV photography equipment is not usually available in general practice, technologies emphasizing pigmentation in color photo images are desired for daily care. We propose a new method using conditional generative adversarial networks, named UV-photo Net, to generate synthetic UV images from color photo images. Evaluations using color and UV photo image pairs taken by a UV photography system demonstrated that pigment spots were well reproduced in synthetic UV images by UV-photo Net, and some of the reproduced pigment spots were difficult to be recognized in color photo images. In the pigment spot detection analysis, the rate of pigment spot areas in cheek regions for synthetic UV images was highly correlated with the rate for UV photo images (Pearson’s correlation coefficient 0.92). We also demonstrated that UV-photo Net was effective for floating up pigment spots for photo images taken by a smartphone camera. UV-photo Net enables an easy assessment of pigmentation from color photo images and will promote self-care of skin damages and early signs of skin cancers for preventive medicine.