Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate plasma metabolomics and proteomics to evaluate the metabolic alterations and their function in up to 680 individuals with and without DVT after trauma (pt-DVT). We identify 28 metabolites and 2 clinical parameter clusters associated with pt-DVT. Then, we develop a panel of 9 metabolites (hexadecanedioic acid, pyruvic acid, L-Carnitine, serotonin, PE(P-18:1(11Z)/18:2(9Z,12Z)), 3-Hydroxycapric acid, 5,6-DHET, 3-Methoxybenzenepropanoic acid and pentanenitrile) that can predict pt-DVT with high performance, which can be verified in an independent cohort. Furthermore, the integration analysis of metabolomics and proteomics data indicates that the upregulation of glycolysis/gluconeogenesis-TCA cycle may promote thrombosis by regulating ROS levels in red blood cells, suggesting that interfering with this process might be potential therapeutic strategies for pt-DVT. Together, our study comprehensively delineates the metabolic and hematological dysregulations for pt-DVT, and provides potential biomarkers for early detection.

Wound development and healing involve intricate genetic and molecular processes, posing significant clinical management challenges. The objective of this study was to assess commonly used fat extracts\' efficacy and safety (autologous fat, stromal vascular fraction and adipose-derived stem cells) in wound healing, particularly for refractory wounds, with the goal of providing evidence in clinical use. After a systematic review, 21 randomised controlled trials were included in our study. Based on the classification of human fat products, our meta-analysis revealed that the use of human fat products could speed healing rate, shorten healing time and achieve more complete healing, with statistically significant differences in outcome indicators when compared to conventional treatments. The analysis of histological findings across various studies indicated that fat extracts can promote epithelialization, collagen deposition and vascularization, thereby facilitating tissue regeneration and reducing inflammatory reactions. There were potential benefits to reducing patient pain levels after using adipose extracts. Furthermore, we analysed and summarised adverse events indicating the safe and effective clinical use of human fat products in wound treatment. Our research findings supported the efficiency of human fat products and demonstrated a high degree of safety in the clinical practice of wound management.

BACKGROUND: Unintentional injuries is the leading cause of death in children aged 6-18 in China. Previous studies on the association between the guardians\' educational levels and unintentional injuries in children have been inconclusive, and it remains unclear among the Chinese population. Therefore, this study aimed to identify the association between guardians\' educational levels and unintentional injuries in children aged 6-18 in Shenzhen, China.
METHODS: This cross-sectional study enrolled 9,903 children aged 6-18 in Shenzhen in 2020 using a multistage cluster sampling method. Information on the children and guardians were collected, and unintentional injuries in the past year was examined by using two nested questions. Logistic regression analyses were used to test the association between the guardians\' educational levels and unintentional injuries in children aged 6-18, and the crude odds ratios (ORs) and adjusted ORs with 95% confidence intervals (95% CI) were calculated.
RESULTS: 275 of the 9,903 children reported experiencing at least one unintentional injuries in the past year, and the weighted incidence of unintentional injuries was 6.3% (95% CI: 5.8-6.8%) in children aged 6-18 in Shenzhen, China. The incidence of unintentional injuries differed significantly in the guardians\' education levels (P < 0.05). After adjustment for the children\'s variables, multiple binary logistic regression analysis showed that compared to children whose guardians\' educational levels were low, children whose guardians\' educational levels were high (adjusted OR = 0.57, 95% CI: 0.37-0.87) and medium (adjusted OR = 0.56, 95% CI: 0.39-0.81) had a lower odds of unintentional injuries. Similar results were also observed when further adjustment for both the children\'s and guardians\' variables.
CONCLUSIONS: The overall incidence of unintentional injuries in children aged 6-18 in Shenzhen was low, and it was associated with the guardians\' educational levels. Children whose guardians\' educational levels were low should be given special concern to prevent unintentional injuries, and it is suggested to reduce the incidence of unintentional injuries in children by improving the guardians\' educational levels.

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UNASSIGNED: Internet-based media stories provide valuable information for emerging risks of product-related child injury prevention and control, but critical methodological challenges and high costs of data acquisition and processing restrict practical use by stakeholders.
UNASSIGNED: We constructed a data platform through literature reviews and multi-round research group discussions. Developed components included standard search strategies, filtering criteria, textual document classification, information extraction standards and a keyword dictionary. We used ten thousand manually labelled media stories to validate the textual document classification model, which was established using the Bidirectional Encoder Representation from Transformers (BERT). Multiple information extraction methods based on natural language processing algorithms were adopted to extract data for 29 structured variables from media stories. They were evaluated through manual validation of 1000 media stories about product-related child injury. We mapped the geographic distribution of media sources and media-reported product-related child injury events.
UNASSIGNED: We developed an internet-based product-related child injury textual data platform, IPCITDP, consisting of four layers - automatic data search and acquisition, data processing, data storage, and data application - concerning product-related child injury online media stories in China. Each layer occurred daily. External validation demonstrated high performance for the BERT classification model we established (accuracy = 0.9703) and the combined information extraction strategies (accuracy >0.70 for 25 variables). As of 31 December 2023, IPCITDP collected 35 275 eligible product-related child injury reports from 13 261 news media websites or social media platform accounts which were geographically located across all 31 mainland Chinese provinces and covered over 97% of prefecture-level cities. The injury cases in IPCITDP were typically reported several months or years earlier than official announcements about the product-related child injury risks. Our data platform added data concerning 15 supplementary variables that the national product-related injury surveillance system lacks. Two examples demonstrate the value of IPCITDP in supplementing existing data and providing early epidemiological detection of emerging signals concerning product-related child injury: magnetic beads and electric self-balancing scooters.
UNASSIGNED: Our data platform provides injury data that can support early detection of new product-related child injury characteristics and supplement existing data sources to reduce the burden of product-related injury among Chinese children.

The disturbance of the inflammatory microenvironment is a frequent pathological trait of diabetic wounds, contributing to the emergence of numerous chronic illnesses. This is crucial in both the development and recovery of wounds caused by diabetes. This study aims to perform a bibliometric analysis of research on the inflammatory microenvironment within the domain of diabetic wounds (DW) over the past 10 years. The objective is to map out the current global research landscape, pinpoint the most significant areas of study and offer guidance for future research avenues. Our research involved querying the Web of Science Core Collection (WoSCC) database for all pertinent studies on the inflammatory microenvironment in diabetic wounds (DW). We utilized bibliometric tools such as CiteSpace, VOSviewer and R (version 4.3.1) to identify and highlight the most impactful studies in the field. The study encompassed a review of 1454 articles published from 2014 to 2023, highlighting China and the United States as pivotal nations in the research of the inflammatory microenvironment in diabetic wounds (DW). Within this sphere, the University of Michigan and Harvard University in the United States, along with Shanghai Jiaotong University in China, emerged as the most prolific institutions. WANG Y from China was identified as the most productive author, while KUNKEL SL from the United States received the most citations. The research primarily focuses on topics such as wound healing, repair processes, angiogenesis, oxidative stress and macrophage activity. Additionally, \"macrophage\" and \"delivery\" were pinpointed as the leading subjects with promising research potential in this area. Research on the inflammatory microenvironment of diabetic wounds is rapidly advancing through active international collaboration. The study of new mechanisms related to the inflammatory microenvironment and the development of novel materials for repair based on this microenvironment represent emerging fields of future research, particularly in terms of translational applications. This may offer guidance and novel perspectives for further research in the area of the diabetic wound inflammatory microenvironment.

BACKGROUND: Transport injuries (TI) remains one of leading causes of death in children in China. This study aimed to analyze the temporal trend of disease burden and associated risk factors of TI among children aged 0-14 years in China, utilizing data from 1990 to 2019.
METHODS: We retrieved data of disease burden and risk factors of TI among children aged 0-14 year in China from 1990 to 2019 from the Global Burden of Disease (GBD) dataset. We estimated incidence rate, death rate, and disability adjusted life years (DALYs) rate with a 95% uncertainty interval (95% UI), stratified by age, sex, and all type-road users. Trends in disease burden with annual percentage changes (APC) and average annual percent change (AAPC) were performed by Joinpoint regression model.
RESULTS: The incidence rate (AAPC = 1.18%, P < 0.001) of TI among children aged 0-14 years showed an increasing trend, whereas mortality rate (AAPC = -3.87%, P < 0.001) and DALYs rate (AAPC = -3.83%, P < 0.001) decreased annually. Notably, boys experienced a higher increase in incidence (1.30%) compared to girls (1.06%), but a faster decrease in mortality and DALYs rate (-3.90% vs. -3.82%, -3.88% vs. -3.79%, respectively) (Pall < 0.001). Declines in death rates and DALYs rates were observed across all age groups (Pall < 0.001), while remained the highest among children aged 0-4 in 2019. Among different road-type users, cyclist road injuries were identified as the primary cause of TI (182.3 cases per 100,000) while pedestrians were the group with the highest mortality (2.9 cases per 100,000) and DALYs rate (243 cases per 100,000) in 2019. Besides, alcohol use was a significant risk factors for TI, while low temperature appeared to be a protective factor.
CONCLUSIONS: Future efforts must prioritize raising awareness among children and their guardians to mitigate the disease burden of TI in children. It\'s critical to enhance preventive interventions for boys, children aged 0-4 and vulnerable road users such as pedestrians and cyclists in future.

Lymphocyte decline, particularly the depletion of NK cells, is a prominent feature of immunosuppression following severe tissue injury, heightening the susceptibility of severe trauma patients to life-threatening infections. Previous research indicates that the reduction in the number of NK cells is closely associated with the process of cell death. Nonetheless, the precise mechanism of NK cell death remains unknown. Here, we discovered that following severe traumatic injury, NK cells undergo several cell death pathways, dominated by apoptosis and pyroptosis with coexistence of necrotic cell death, immunogenic cell death, ferroptosis, and autophagy. These NK cells with different paradigms of death have diverse cytokine expression profiles and diverse interactions with other immune cells. Further exploration revealed that hypoxia was strongly associated with this diverse paradigm of NK cell death. Detailed investigation of paradigms of cell death may help to enhance comprehension of lymphopenia post-severe trauma, to develop new strategy in preventing immunosuppression, and then to improve outcome for severe trauma population.

UNASSIGNED: The prognosis of trauma patients is highly dependent on early medical diagnosis. By constructing a nomogram model, the risk of adverse outcomes can be displayed intuitively and individually, which has important clinical implications for medical diagnosis.
UNASSIGNED: To develop and evaluate models for predicting patients with adverse outcomes of trauma that can be used in different data availability settings in China.
UNASSIGNED: This was a retrospective prognostic study using data from 8 public tertiary hospitals in China from 2018. The data were randomly divided into a development set and a validation set. Simple, improved and extended models predicting adverse outcomes were developed, with adverse outcomes defined as in-hospital death or ICU transfer, and patient clinical characteristics, vital signs, diagnoses, and laboratory test values as predictors. The results of the models were presented in the form of nomograms, and performance was evaluated using area under the receiver operating characteristic curve (ROC-AUC), precision-recall (PR) curves (PR-AUC), Hosmer-Lemeshow goodness-of-fit test, calibration curve, and decision curve analysis (DCA).
UNASSIGNED: Our final dataset consisted of 18,629 patients (40.2% female, mean age of 52.3), 1,089 (5.85%) of whom resulted in adverse outcomes. In the external validation set, three models achieved ROC-AUC of 0.872, 0.881, and 0.903, and a PR-AUC of 0.339, 0.337, and 0.403, respectively. In terms of the calibration curves and DCA, the models also performed well.
UNASSIGNED: This prognostic study found that three prediction models and nomograms including the patient clinical characteristics, vital signs, diagnoses, and laboratory test values can support clinicians in more accurately identifying patients who are at risk of adverse outcomes in different settings based on data availability.

Millions of microorganisms make up the complex microbial ecosystem found in the human gut. The immune system\'s interaction with the gut microbiota is essential for preventing inflammation and maintaining intestinal homeostasis. Numerous metabolic products that can cross-talk between immune cells and the gut epithelium are metabolized by the gut microbiota. Traumatic injury elicits a great and multifaceted immune response in the minutes after the initial offense, containing simultaneous pro- and anti-inflammatory responses. The development of innovative therapies that improve patient outcomes depends on the gut microbiota and immunological responses to trauma. The altered makeup of gut microbes, or gut dysbiosis, can also dysregulate immunological responses, resulting in inflammation. Major human diseases may become more common as a result of chronic dysbiosis and the translocation of bacteria and the products of their metabolism beyond the mucosal barrier. In this review, we briefly summarize the interactions between the gut microbiota and the immune system and human disease and their therapeutic probiotic formulations. We also discuss the immune response to traumatic injury.