Interleukin-15 is a hair follicle immune privilege guardian.

The autoimmunity-promoting cytokine, Interleukin-15 (IL-15), is often claimed to be a key pathogenic cytokine in alopecia areata (AA). Yet, rhIL-15 promotes human hair follicle (HF) growth ex vivo. We have asked whether the expression of IL-15 and its receptor (IL-15R) isoforms is altered in human AA and how IL-15 impacts on human HF immune privilege (HF-IP) in the presence/absence of interferon-γ (IFNγ), the well-documented key AA-pathogenic cytokine, as well as on hair regrowth after experimental AA induction in vivo. Quantitative immunohistomorphometry showed the number of perifollicular IL-15+ T cells in AA skin biopsies to be significantly increased compared to healthy control skin, while IL-15, IL-15Rα, and IL-15Rγ protein expression within the hair bulb were significantly down-regulated in AA HFs. In organ-cultured human scalp HFs, rhIL-15 significantly reduced hair bulb expression of MICA, the key "danger" signal in AA pathogenesis, and increased production of the HF-IP guardian, α-MSH. Crucially, ex vivo, rhIL-15 prevented IFNγ-induced HF-IP collapse, restored a collapsed HF-IP by IL-15Rα-dependent signaling (as documented by IL-15Rα-silencing), and protected AA-preventive immunoinhibitory iNKT10 cells from IFNγ-induced apoptosis. rhIL-15 even promoted hair regrowth after experimental AA induction in human scalp skin xenotransplants on SCID/beige mice in vivo. Our data introduce IL-15 as a novel, functionally important HF-IP guardian whose signaling is constitutively defective in scalp HFs of AA patients. Our data suggest that selective stimulation of intrafollicular IL-15Rα signaling could become a novel therapeutic approach in AA management, while blocking it pharmacologically may hinder both HF-IP restoration and hair re-growth and may thus make HFs more vulnerable to AA relapse.

An atypical presentation of human monkeypox infection with clinicopathologic correlation.

There is growing evidence to support new modes of transmission for human monkeypox infection. As these methods are being explored, this report delineates the day-to-day clinical sequelae following the initial exposure in an HIV-positive man who had sexual intercourse with another man days preceding his infection. We describe atypical cutaneous manifestations involving widespread erythematous pustules with preceding anogenital ulcerations and concomitant bilateral inguinal lymphadenopathy. Clinicopathologic correlation is used to assist in the workup and establishing the diagnosis. Our case supports others reported in the literature that suggest sexual contact as a means of transmission. More research is needed that investigates the presence of infection in both men and women, including those who could act as carriers, to elucidate other pathways in this evolving yet evasive viral disease.

Effectiveness and tolerance of multicorrective topical treatment for infraorbital dark circles and puffiness.

BACKGROUND: Treatment of infraorbital dark circles and under-eye puffiness is challenging due to its multifactorial nature and lack of broadly applicable, effective treatments. A daily skincare treatment option that is multimodal, effective, and tolerable across a broad patient population is an unmet need. AIM: A multicorrective topical eye cream (MTEC) formulated with Tetrahexyldecyl (THD) ascorbate (vitamin C), prebiotic Inula Helenium, bioavailable peptides, botanical extracts, chrysin, and caffeine is hypothesized to improve the appearance of infraorbital dark circles and under-eye puffiness by targeting microvasculature congestion and permeability, melanin accumulation and hemoglobin degradation-related pigmentation, and skin health. METHODS: An IRB approved, open-label, 12-week clinical study set out to evaluate the efficacy and tolerability of the MTEC across a broad patient population including varying ethnicities and Fitzpatrick Skin Types (FST). Female subjects (n = 40) ages 35-60 years old, with moderate-to-severe under-eye dark circles, moderate under-eye puffiness, and mild-to-moderate fine lines were enrolled into the study. Objective (Chromameter, VISIA® imaging, and Laser Doppler) and subjective assessments (clinical grading and self-assessment questionnaire) were conducted at baseline and post-baseline timepoints. RESULTS: Thirty-seven subjects completed the study, and the MTEC efficaciously demonstrated short-term and long-term improvements in objective and subjective assessments across a broad patient population. Specifically, the MTEC demonstrated significant improvement of infraorbital dark circles, mainly by the reduction in microvasculature congestion and permeability, melanin, and hemoglobin degradation-related pigmentation. CONCLUSION: Topical application of the MTEC may offer an effective and tolerable treatment option for infraorbital dark circles and puffiness.

Rapid measurement of epidermal thickness in OCT images of skin.

Epidermal thickness (ET) changes are associated with several skin diseases. To measure ET, segmentation of optical coherence tomography (OCT) images is essential; manual segmentation is very time-consuming and requires training and some understanding of how to interpret OCT images. Fast results are important in order to analyze ET over different regions of skin in rapid succession to complete a clinical examination and enable the physician to discuss results with the patient in real time. The well-known CNN-graph search (CNN-GS) methodology delivers highly accurate results, but at a high computational cost. Our objective was to build a computational core, based on CNN-GS, able to accurately segment OCT skin images in real time. We accomplished this by fine-tuning the hyperparameters, testing a range of speed-up algorithms including pruning and quantization, designing a novel pixel-skipping process, and implementing the final product with efficient use of core and threads on a multicore central processing unit (CPU). We name this product CNN-GS-skin. The method identifies two defined boundaries on OCT skin images in order to measure ET. We applied CNN-GS-skin to OCT skin images, taken from various body sites of 63 healthy individuals. Compared with CNN-GS, our described method reduced computation time by 130 [Formula: see text] with minimal reduction in ET determination accuracy (from 96.38 to 94.67%).