The effects of pressure intervention on wound healing and scar formation in a Bama minipig model

Noncoding RNAs: Master Regulator of Fibroblast to Myofibroblast Transition in Fibrosis

Myofibroblasts escape apoptosis and proliferate abnormally under pathological conditions, especially fibrosis; they synthesize and secrete a large amount of extracellular matrix (ECM), such as α-SMA and collagen, which leads to the distortion of organ parenchyma structure, an imbalance in collagen deposition and degradation, and the replacement of parenchymal cells by fibrous connective tissues. Fibroblast to myofibroblast transition (FMT) is considered to be the main source of myofibroblasts. Therefore, it is crucial to explore the influencing factors regulating the process of FMT for the prevention, treatment, and diagnosis of FMT-related diseases. In recent years, non-coding RNAs, including microRNA, long non-coding RNAs, and circular RNAs, have attracted extensive attention from scientists due to their powerful regulatory functions, and they have been found to play a vital role in regulating FMT. In this review, we summarized ncRNAs which regulate FMT during fibrosis and found that they mainly regulated signaling pathways, including TGF-β/Smad, MAPK/P38/ERK/JNK, PI3K/AKT, and WNT/β-catenin. Furthermore, the expression of downstream transcription factors can be promoted or inhibited, indicating that ncRNAs have the potential to be a new therapeutic target for FMT-related diseases.

A finite element model of the 3D-printed transparent facemask for applying pressure therapy

BACKGROUND

Transparent facemask has been widely used for the prevention and treatment of facial hypertrophic scars all over the world. 3D printing has improved the fabrication accuracy of the traditional transparent facemasks. However, the pressure distribution pattern generated by the 3D-printed transparent facemasks has not been thoroughly investigated. The aim of this study is to develop a biomechanical model to simulate the pressure distribution of the 3D-printed transparent facemask, and to form the biomechanical basis to guide facemask design.

METHODS

A finite element model comprised of the head bones, the soft tissues of the face and the transparent facemask was established in ABAQUS CAE package. The contact pressure between the facemask and the face was simulated under 7 loading conditions. The calculated results from the model were validated through comparing with the experimental pressure measurements.

FINDINGS

The calculated results from the model well correlated with the experimental pressure measurements (P < 0.05). The biomechanical model is acceptable for the prediction of interface pressure between the facemask and the face.

INTERPRETATION

The pressure distribution pattern showed the facial areas with thin soft tissues and bony prominence experienced concentrated pressure while areas with thick soft tissues received less or no pressure. Suggestions for future facemask design based on the biomechanical model is releasing the areas with concentrated pressure and indenting areas with insufficient pressure.

A massive mandibular keloid with severe infection: What is your treatment?

A case report of massive mandibular keloid with severe infection induced by acne achieved resolution of skin lesions after combined treatment with surgery and high concentration single-dose 5-aminolevulinic acid photodynamic therapy (5-ALA PDT). The patient achieved satisfactory effects, after receiving combined treatment with radiotherapy, secondary healing, intralesional injection of glucocorticoids, and other treatments. The scar didn't exhibit growth in a follow-up check after a year. This case provides evidence that photodynamic therapy is effective in the treatment of massive mandibular keloid with severe infection.

Strategies to prevent hypertrophic scar formation: a review of therapeutic interventions based on molecular evidence

Once scar tissues mature, it is impossible for the surrounding tissue to regenerate normal dermal tissue. Therefore, it is essential to understand the fundamental mechanisms and establish effective strategies to inhibit aberrant scar formation. Hypertrophic scar formation is considered a result of the imbalance between extracellular matrix synthesis and degradation during wound healing. However, the underlying mechanisms of hypertrophic scar development are poorly understood. The purpose of this review was to outline the management in the early stage after wound healing to prevent hypertrophic scar formation, focusing on strategies excluding therapeutic agents of internal use. Treatment aimed at molecular targets, including cytokines, will be future options to prevent and treat hypertrophic scars. More basic studies and clinical trials, including combination therapy, are required to investigate the mechanisms and prevent hypertrophic scar formation.

Experimental models for cutaneous hypertrophic scar research

Human skin wound repair may result in various outcomes with most of them leading to scar formation. Commonly seen in many cutaneous wound healing cases, hypertrophic scars are considered as phenotypes of abnormal wound repair. To prevent the formation of hypertrophic scars, efforts have been made to understand the mechanism of scarring following wound closure. Numerous in vivo and in vitro models have been created to facilitate investigations into cutaneous scarring and the development of antiscarring treatments. To select the best model for a specific study, background knowledge of the current models of hypertrophic scars is necessary. In this review, we describe in vivo and in vitro models for studying hypertrophic scars, as well as the distinct characteristics of these models. The choice of models for a specific study should be based on the characteristics of the model and the goal of the study. In general, in vivo animal models are often used in phenotypical scar formation analysis, development of antiscarring treatment, and functional analyses of individual genes. In contrast, in vitro models are chosen to pathway identification during scar formation as well as in high-throughput analysis in drug development. Besides helping investigators choose the best scarring model for their research, the goal of this review is to provide knowledge for improving the existing models and development of new models. These will contribute to the progress of scarring studies.