CLC-3 regulates TGF-ß/smad signaling pathway to inhibit the process of fibrosis in hypertrophic scar.

Objective: To study the role and mechanism of chloride channel-3 (ClC-3) in the formation of hypertrophic scar by constructing ClC-3 interference vectors and examining their effects on human hypertrophic scar fibroblasts (HSFB). Methods: Human HSFB and human normal skin fibroblasts (NSFB) were used in this study, and ClC-3 interference vectors were constructed to transfect cells. ClC-3 inhibitors NPPB and Tamoxifen were used to treat cells. Cell migration and the expression of TGF-ß/Smad, CollagenⅠ,CollagenⅢ were examined to explore the role of ClC-3 in the formation of hypertrophic scar. Results: Compared with the normal skin tissue, the positive expression of ClC-3 and TGF-ß in the scar tissue was significantly increased. The relative expression of ClC-3 and TGF-ß1 in HSFB cells was higher than that in NSFB cells. Interfering with the expression of CLC-3 can inhibit the migration of HSFB cells and the expression of TGF- ß/Smad, CollagenⅠ/Ⅲ. The experiment of HSFB cells treated by CLC-3 inhibitors can also obtain similar results. Conclusion: Inhibiting CLC-3 can reduce the formation of hypertrophic scars.

Two Advancement Flaps for Eyelid Margin Reconstruction of Small and Medium Defects and a Novel Design to Reduce Ocular Injury.

Purpose: The key point of eyelid margin reconstruction is to keep both the support function and aesthetic appearance. The eyelid's complex anatomical structures make eyelid margin reconstruction demanding. Eyelid margin defects are conventionally classified by their width relative to the eyelid width: small, medium, or large. In this study, we introduce a reconstruction method for small to medium defects. Patients and Methods: We conducted a single-center case series of patients from the practice of a single experienced plastic surgeon at a tertiary center. We included consecutive outpatients from 2014 to 2021. The inclusion criteria were (1) eyelid margin mass and (2) willingness to receive eyelid margin reconstruction by the reported method. The exclusion criteria were (1) eyelid margin mass involving most or all of the tarsus and (2) less than one year of follow-up. Patients were followed up face to face or online. Patients' demographics, clinical characteristics and outcomes, and satisfaction were collected. The clinical outcomes were assessed and scored by two plastic surgeons. Procedure: We reconstructed the anterior lamella with an advancement musculocutaneous flap and repaired the posterior lamella with a specially designed advancement tarsoconjunctival flap, of which a piece of tarsus was shaved and the corresponding remnant conjunctiva was bent forward to cover the tarsus edge to avoid ocular injury. Results: We included 24 patients (25 lesions). Almost all patients had eyelash discontinuity. One patient presented slight notching of the lower eyelid margin. The other patients reported no complications or recurrence. The average outcome score was 1.23±0.69, indicating that our method was excellent. All patients were very satisfied with the surgery. The average follow-up time was 5.75 years. Conclusion: We report a reconstruction method for small to medium eyelid margin defects and a novel design for preventing ocular injury, which is an especially good option for transverse defects.

Parameter-Adaptive TVF-EMD Feature Extraction Method Based on Improved GOA.

In order to separate the sub-signals and extract the feature frequency in the signal accurately, we proposed a parameter-adaptive time-varying filtering empirical mode decomposition (TVF-EMD) feature extraction method based on the improved grasshopper optimization algorithm (IGOA). The method not only improved the local optimal problem of GOA, but could also determine the bandwidth threshold and B-spline order of TVF-EMD adaptively. Firstly, a nonlinear decreasing strategy was introduced in this paper to adjust the decreasing coefficient of GOA dynamically. Then, energy entropy mutual information (EEMI) was introduced to comprehensively consider the energy distribution of the modes and the dependence between the modes and the original signal, and the EEMI was used as the objective function. In addition, TVF-EMD was optimized by IGOA and the optimal parameters matching the input signal were obtained. Finally, the feature frequency of the signal was extracted by analyzing the sensitive mode with larger kurtosis. The optimization experiments of 23 sets of benchmark functions showed that IGOA not only enhanced the balance between exploration and development, but also improved the global and local search ability and stability of the algorithm. The analysis of the simulation signal and bearing signal shows that the parameter-adaptive TVF-EMD method can separate the modes with specific physical meanings accurately. Compared with ensemble empirical mode decomposition (EEMD), variational mode decomposition (VMD), TVF-EMD with fixed parameters and GOA-TVF-EMD, the decomposition performance of the proposed method is better. The proposed method not only improved the under-decomposition, over-decomposition and modal aliasing problems of TVF-EMD, but could also accurately separate the frequency components of the signal and extract the included feature information, so it has practical significance in mechanical fault diagnosis.