Targeting the STAT3/IL-36G signaling pathway can be a promising approach to treat rosacea.

Background: Rosacea is an inflammatory skin disorder characterized by the release of inflammatory mediators from keratinocytes, which are thought to play a crucial role in its pathogenesis. Despite an incidence of approximately 5.5%, rosacea is associated with a poor quality of life.

Integrated bioinformatics analysis and experimental validation identifies CPE as a potential biomarker and therapeutic target for skin aging.

Ageing is an inevitable biological process characterized by progressive decline in physiological functions. It is a complex natural phenomenon that will cause structural and functional decline. Despite substantial progress in understanding the mechanism of ageing, both predictive biomarkers and preventive therapies remain limited.

Downregulated SPESP1-driven fibroblast senescence decreases wound healing in aged mice.

Background: Human dermal fibroblasts (HDFs) are essential in the processes of skin ageing and wound healing. However, the underlying mechanism of HDFs in skin healing of the elderly has not been well defined. This study aims to elucidate the mechanisms of HDFs senescence and how senescent HDFs affect wound healing in aged skin.

Correction: A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study.

[This corrects the article DOI: 10.2196/23415.].

Twin defect-rich Pt ultrathin nanowire nanozymes alleviate inflammatory skin diseases by scavenging reactive oxygen species.

Nanozymes with superior antioxidant properties offer new hope for treating oxidative stress-related inflammatory skin diseases. However, lacking sufficient catalytic activity or having complex material designs limit the application of current metallic nanozymes in inflammatory skin diseases. Here, we report a simple and effective twin-defect platinum nanowires (Pt NWs) enzyme with multiple mimetic enzymes and broad-spectrum ROS scavenging capability for the treatment of inflammatory skin diseases in mice (including psoriasis and rosacea).

Epidemiology and disease burden of androgenetic alopecia in college freshmen in China: A population-based study.

Objective: To evaluate the epidemiology and disease burden of androgenetic alopecia (AGA) in college freshmen in China.

Methods: This population-based cross-sectional survey was carried out among 9227 freshmen of two comprehensive universities in two cities of China (Changsha and Xiamen) from September 2018 to October 2018. Questionnaires covering basic issues, surrounding demographic information, history of diseases, living habits, comorbidities, etc.

A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study.

Background: Rosacea is a chronic inflammatory disease with variable clinical presentations, including transient flushing, fixed erythema, papules, pustules, and phymatous changes on the central face. Owing to the diversity in the clinical manifestations of rosacea, the lack of objective biochemical examinations, and nonspecificity in histopathological findings, accurate identification of rosacea is a big challenge. Artificial intelligence has emerged as a potential tool in the identification and evaluation of some skin diseases such as melanoma, basal cell carcinoma, and psoriasis.