These various available models offer new chances for further research on biologically active materials, drugs & pharmaceutical as well as cosmetics for acne treatment. Keywords: Acne; Propionibacterium acnes; animal models; pilosebaceous unit; sebaceous gland.

Jan 1, 2015 · De Young et al. (1984, 1985) described intradermal injection of Propionibacterium acnes as a model of inflammation relevant to acne. Intradermal injection of killed P. acnes into the rat ear induces a chronic acne-like inflammation characterized by edema and cell infiltration of several months’ duration, formation of comedones ...

The list of animal models that have been used in the study of acne include the rabbit ear model, rhino mouse model , Mexican hairless dog model [138,139], Golden Hamster model, swine, and guinea pig .

Dec 31, 2018 · These various available models offer new chances for further research on biologically active materials, drugs & pharmaceutical as well as cosmetics for acne treatment. Factors responsible for...

Jun 9, 2019 · Acne is a unique disease of humans, and there is no ideal experimental acne model that covers all major pathogenic aspects of acne vulgaris in humans. Canine and feline acne models resemble human acne vulgaris in some aspects but are of less importance as animal models of acne.

P. acnes induces acneiform inflammation with small microcomedones in HR-1 mice. Therefore, the HR-1 mouse strain represents a good candidate for the development of a new inflammatory acne mouse model.

Dec 31, 2018 · The object of this review is to discuss presently available in vitro, ex vivo, and in vivo models to evaluate the cosmetic formulations that are developed for dealing and prevention of acne formation.

Therefore, it is crucial to establish a dynamic and nondestructive method for the assessment of acne in vivo. This study utilized four-dimensional optical imaging techniques to assess the pathogenic factors and pathological progression of acne.

The AcneDet system consists of two models for two different tasks: an acne object detection model using Faster R-CNN-based deep learning and an acne severity grading model based on LightGBM machine learning. Four types of acne could be detected: blackheads/whiteheads, papules/pustules, nodules/cysts, and acne scars.

The object of this review is to discuss presently available in vitro, ex vivo, and in vivo models to evaluate the cosmetic formulations that are developed for dealing and prevention of acne formation.