PPAR-γ regulates the polarization of M2 macrophages to improve the microenvironment for autologous fat grafting.

The unpredictable survival rate of autologous fat grafting (AFG) seriously affects its clinical application. Improving the survival rate of AFG has become an unresolved issue in plastic surgery. Peroxisome proliferator-activated receptor-γ (PPAR-γ) regulates the adipogenic differentiation of adipocytes, but the functional mechanism in AFG remains unclear. In this study, we established an animal model of AFG and demonstrated the superior therapeutic effect of PPAR-γ regulation in the process of AFG. From day 3 after fat grafting, the PPAR-γ agonist rosiglitazone group consistently showed better adipose integrity, fewer oil cysts, and fibrosis. Massive macrophage infiltration was observed after 7 days. At the same time, M2 macrophages begin to appear. At day 14, M2 macrophages gradually became the dominant cell population, which suppressed inflammation and promoted revascularization and fat regeneration. In addition, transcriptome sequencing showed that the differentially expressed genes in the Rosiglitazone group were associated with the pathways of adipose regeneration, differentiation, and angiogenesis; these results provide new ideas for clinical treatment.

The Safety of Injections in the Infraorbital Region.

BACKGROUND:  Infraorbital filler injection is a commonly used minimally invasive cosmetic procedure on the face, which can cause vascular complications. OBJECTIVE:  In this study, we aimed to explore the anatomical structure of the infraorbital vasculature and to establish an accurate protocol for infraorbital filler injection. METHODS:  The vascular structure of the infraorbital region was evaluated in 84 hemifacial specimens using computed tomography. Four segments (P1-P4) and five sections (C1-C5) were considered. We recorded the number of identified arteries in each slice and at each location and the number of deep arteries. Furthermore, we also measured the infraorbital artery (IOA) distribution. RESULTS:  At P1-P4, the lowest number of arteries was detected in segment P4, with a 317/1727 (18.4%) and 65/338 (2.3%) probability of total and deep arterial identification, respectively. The probabilities of encountering an identified artery at the five designated locations (C1-C5) were 277/1727 (16%), 318/1727 (18.4%), 410/1727 (23.7%), 397/1727 (23%), and 325/1727 (18.8%), respectively. The probability of an IOA being identified at C2 was 68/84 (81%). CONCLUSION:  We described an effective filler injection technique in the infraorbital region to minimize the associated risks. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

[Multiple pattern inverse water quality modeling approach for predicting the water quality consequence of Lake Chenghai water elevation control].

A water quality model was developed through incorporating the water surface elevation and water quality data of Lake Chenghai into the CE-QUAL-W2 computational platform. The model integrates the water surface elevation and water quality into a holistic dynamic system based on the data of Lake Chenghai, and was calibrated against observed data using a multiple pattern inverse water quality modeling technology, which was driven by a robust genetic algorithm (GA). After the model was calibrated, it was used to produce robust predictions of the lake water quality in response to various water elevation controlled scenarios. The model established a basis for quantifying the water quality responses under uncertainty, and is valuable for supporting effective and reliable management decision making. The results of this research suggest that various water elevation control scenarios only result in insignificant water quality improvement in terms of TN, TP, and COD concentrations, therefore, it does not recommend to consider water elevation control to be the major water quality management option for Lake Chenghai.