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.

Breast Augmentation Preferences and Concerns Among Chinese Women: A Nationwide Multicenter Study of 2066 Cases.

BACKGROUND: Research studies on Asian women's preferences for breast augmentation and the factors that influence decision-making are scarce or unrepresentative. METHODS: This study was conducted from September 2016 to September 2017, a period of one year. We developed a questionnaire for Chinese female with breast augmentation intentions based on the Breast-Q questionnaire, the world's most popular breast augmentation assessment tool, and conducted questionnaire surveys in 35 hospitals located in 19 provinces in mainland China among female who came to hospitals to inquire about breast augmentation surgery. RESULTS: A total of 2066 questionnaires were collected from female interested in breast augmentation. The age range at the time of response was 19-53 years (mean 31.2 ± 6.8 years). More than half of the respondents (58.1%) were married, and 70.4% of them had children. The respondents rated their dressed image significantly higher than their nude image. Their partners also rated their breast image poorly, with 43% rating it fair and 30.4% negatively. Internal reasons, such as improving self-confidence and creating a better body image, were the main motivators for breast augmentation. More than half of the respondents had only limited understanding of breast augmentation surgery or had heard of it but did not fully understand it (33.2% and 27.5%, respectively), and 69.4% had considered breast augmentation for less than three years. A total of 49.2% of the respondents learned about breast augmentation surgery through the Internet. A total of 43.8% of the respondents did not receive support from family members or partners. Surgical safety (20.4%), surgical effect (17.1%), and surgeon's skill (16.6%) were given the highest priority. The surgeon's professionalism, popularity, and academic background were also high on people's list of considerations. CONCLUSIONS: The results of our breast augmentation survey provide data on many Chinese women considering breast augmentation. This will help plastic surgeons better understand the characteristics, preferences, and concerns of Chinese women undergoing breast augmentation and will be used to guide patient-doctor communication and help Chinese women make the most informed decisions. LEVEL OF EVIDENCE V: 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 .

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.