An ideal dermal filler should integrate filling, repair, and anti-aging effects, with immediate tissue augmentation, slow degradation, and progressive stimulation of collagen regeneration. However, commonly used hyaluronic acid (HA) hydrogels, while effective for rapid filling, suffer from limited duration of support, weak cell adhesion, and an inability to promote collagen regeneration. Silk fibroin (SF), a natural protein from silkworm cocoons, is known for its excellent cell adhesion and collagen-stimulating abilities. However, its limited gelation capability restricts its potential application as a standalone injectable hydrogel. Based on a complementary strategy, this study combines the rapid gelling properties of HA with the collagen regenerative properties of SF to create a co-crosslinked HA-SF hydrogel. The composite hydrogel merges HA's rapid filling effect with SF's strong tissue adhesion and collagen-stimulating abilities. The formulation, physicochemical properties, degradation, biocompatibility, and filling effects of the HA-SF hydrogel were systematically investigated. HA-SF hydrogel exhibits excellent mechanical properties and ensures long-term support while maintaining injectability. Interestingly, after intradermal injection in the UVB-induced photoaging model, HA-SF hydrogel not only enhances hydrogel-cell interaction but also continues to stimulate collagen regeneration, especially type III collagen. This dual action achieves the biological effects of repair and anti-aging while maintaining the filling effect. Proteomic analysis confirms that repair and anti-aging effects are enhanced by the regulation of skin fibroblasts and modulation of amino acid and lipid metabolism. This composite hydrogel holds strong promise for clinical applications, offering a safer, long-lasting, and more natural injectable filler that combines filling, repair, and anti-aging into one system.

Objective The prevalence of drug-resistant Mycobacterium tuberculosis (Mtb) strains is exacerbating the global burden of tuberculosis (TB), highlighting the urgent need for new treatment strategies for TB. Methods The recombinant adenovirus vaccine expressing cyclic di-adenosine monophosphate (c-di-AMP) phosphodiesterase B (CnpB) (rAd-CnpB), was administered to normal mice via mucosal immunization, either alone or in combination with drug therapy, to treat Mtb respiratory infections in mice.Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of antibodies in serum and bronchoalveolar lavage fluid (BALF). Real-time quantitative PCR was performed to assess the transcription levels of cytokines interferon γ(IFN-γ) and interleukin 10(IL-10) in mouse lungs. Flow cytometry was used to determine the proportions of CD4⁺ and CD8⁺ T cell subsets in the lungs and spleens. ELISA was employed to measure the levels of cytokines IFN-γ, IL-2, IL-10, inflammatory factors IL-6, and tumor necrosis factor α (TNF-α) secreted by spleen cells following antigen stimulation. The bacteria loads in the lungs and spleens of Mtb-infected mice were enumerated by plate counting methods. Resluts Intranasal immunization with rAd-CnpB induced high titers of IgG in mouse serum and the production of IgG and IgA in BALF, along with alterations in T lymphocyte subsets in the lungs and spleens. Administration of rAd-CnpB, either alone or in combination with drugs, to Mtb-infected mice significantly increased serum IgG levels as well as IgA and IgG levels in BALF. rAd-CnpB immunization promoted the secretion of CnpB-specific cytokines and inflammatory factors by splenocytes in Mtb-infected mice. However, rAd-CnpB immunotherapy, either alone or combined with drugs, did not significantly affect the bacterial loads in the lungs and spleens of mice with Mtb respiratory infections. Conclusion Mucosal immunization with rAd-CnpB induced significant mucosal, humoral and cellular immune responses in mice, and significantly enhanced CnpB-specific cellular immune responses in Mtb-infected mice.
Animals ; Adenoviridae/immunology* ; Mycobacterium tuberculosis/genetics* ; Mice ; Female ; Phosphoric Diester Hydrolases/genetics* ; Tuberculosis Vaccines/administration & dosage* ; Tuberculosis/prevention & control* ; Mice, Inbred BALB C ; Cytokines ; Lung/microbiology* ; Immunization ; Bronchoalveolar Lavage Fluid/immunology* ; Immunity, Mucosal

Objective To understand the surveillance situation of poliovirus in Guangzhou from 2011 to 2024, and to further strengthen polio surveillance and ensure the continued maintenance of a polio-free status. Methods An analysis was conducted on the discovery and investigation results of six cases of vaccine-derived poliovirus (VDPV) detected in Guangzhou. Results A total of 6 VDPV incidents were reported in Guangzhou from 2011 to June 2024, among which 5 incidents were from sewage sample testing in the Liede Sewage Treatment Plant in Guangzhou, all of which were confirmed as VDPV, with 1 for type I, 1 for type II, and 3 for type III. In addition, one confirmed HFMD case was identified as a type VDPV II carrier. No presence of any wild poliovirus (WPV), VDPV cases, or circulating VDPV (cVDPV) was reported. Conclusion Guangzhou City has maintained a high level of vigilance and effectiveness in the monitoring and prevention of polio. Continuously strengthening the construction of the polio monitoring network, optimizing vaccination strategies, and comprehensively improving public health awareness are still the focus of the prevention and control work in the future.

Objective:To explore whether perioperative oral probiotic therapy reduces infectious complications following pancreaticoduodenectomy (PD), aiming to obtain higher-level evidence for clinical practice.Methods:A total of 81 participants undergoing PD at the Department of Pancreatic and Metabolic Surgery, Nanjing Drum Tower Hospital & Affiliated Hospital of Medical School, Nanjing University, from May 2024 to December 2024 were enrolled in this single-center, prospective, randomized controlled trial. The participants were randomly divided into a probiotic treatment group and a control group (receiving conventional treatment without probiotics) using a random number method. The primary outcomes included the incidence of postoperative infectious complications and intra-abdominal infection, and the secondary outcomes were the recovery of gastrointestinal function, postoperative hospital stay, and duration and costs of antibiotic use. The hematological indicators including inflammation and immune markers on postoperative days (POD) 1, 3, 5, and 7 were also compared between these two groups.Results:Finally 72 cases (39 males and 33 females) were analyzed, with 36 patients in the probiotic treatment group and 36 patients in the control group. Compared to the control group, the probiotic treatment group showed statistically significant reductions in the incidence of infectious complications (33.3% vs. 66.7%, P=0.029), intra-abdominal infection (27.8% vs. 58.3%, P=0.030), and incidence of delayed gastric emptying (0 vs. 16.7%, P=0.033). Also, the probiotic treatment group exhibited significantly faster recovery in postoperative bowel movements and shorter time to defecation, liquid diet, and semi-liquid diet (all P<0.05). Additionally, the probiotic treatment group had significantly shorter hospital stay, reduced duration of antibiotic use, and lower antibiotic costs (all P<0.05). Finally, the probiotic treatment group had significantly higher lymphocyte counts on POD 1 ( P<0.05) and showed a significant downward trend in inflammatory markers such as interleukin-6 on PODs 3 and 5 and C-reactive protein on POD 7 (all P<0.05). Conclusions:Perioperative application of probiotic preparations in PD may reduce the incidence of postoperative infectious complications, especially intra-abdominal infection. Additionally, it can prevent delayed gastric emptying, promote the recovery of postoperative gastrointestinal function, shorten hospital stay, and reduce the use of antibiotics. These benefits may be related to the improvement of postoperative inflammatory status.

Objective To systematically review the incidence of antibiotic-associated diarrhea(AAD)in critically ill patients in China,and to provide evidence-based basis for the rational use of antibiotics.Methods PubMed,Embase,Web of Science,Cochrane Library,CNKI,WanFang Data,VIP and SionMed databases were electronically searched to collect studies on the incidence of AAD in acute and critically ill patients in China from inception to April 23,2024.Two reviewers independently screened literature,extracted data and assessed the risk of bias of the included studies.Meta-analysis was then performed using Stata 17.0 software.Results A total of 50 studies involving 26,512 subjects were included.Meta-analysis results showed that the incidence of AAD in critically ill patients in China was 26.5%[95%CI(22.9%,30.1%)].Subgroup analysis showed that the incidence of AAD in critically ill children in China was 40.6%[95%CI(30.7%,50.4%)],and in critically ill adults in China was 18.7%[95%CI(16.1%,21.4%)],among which the incidence of AAD in children in East China and adults in Southwest China was the lowest.The incidence of AAD in children and adults in Northeast China was the highest.Conclusion The incidence of AAD in critically ill patients in China is relatively high,and it is necessary to carry out effective intervention measures,such as rational selection and standardized use of antibiotics,early prevention and detection of AAD occurrence,to reduce the medical burden caused by AAD in critically ill patients and improve the quality of prognosis.

Purpose To analyze the value of a deep learning(DL)radiomics model based on dynamic contrast-enhanced MRI images in predicting the expression of Ki-67 status in breast cancer.Materials and Methods A retrospective analysis of 152 breast cancer patients confirmed by pathological results at Guangdong Women and Children Hospital,MRI images and clinical pathological data were reviewed,and based on postoperative immunohistochemistry results,the images of the high and low expression groups of Ki-67 were randomly sampled in a ratio of 8∶2 to form a training set of 122 cases and a validation set of 30 cases.Single-factor and multi-factor Logistic regression analyses of clinical data were performed to select independent predictors of breast cancer expressing Ki-67 status.The ResNet-18 model was used as the basic model for DL feature extraction.Hand-crafted radiomic features and DL features were extracted.Eight machine learning models were constructed based on clinical features,hand-crafted radiomic features,DL features,and their combinations.The area under the receiver operating characteristic curve was used to evaluate the predictive performance of the models,and the best model was determined as the output model.Results The progesterone receptor status(OR=0.764,P=0.040)and human epidermal growth factor receptor-2 status(OR=1.187,P=0.046)were independent clinical predictors of breast cancer expressing Ki-67 status.The combined feature models demonstrated superior performance over the individual feature models,and the support vector machine algorithm had the highest prediction performance in the validation set,with an area under the curve of 0.847.Conclusion The DL radiomics model based on dynamic contrast-enhanced MRI images can effectively predict the expression of Ki-67 status in breast cancer.The support vector machine algorithm combined with feature model is the best,which can help the clinical diagnosis and treatment of breast cancer and prognosis evaluation.

Objective:To explore whether perioperative oral probiotic therapy reduces infectious complications following pancreaticoduodenectomy (PD), aiming to obtain higher-level evidence for clinical practice.Methods:A total of 81 participants undergoing PD at the Department of Pancreatic and Metabolic Surgery, Nanjing Drum Tower Hospital & Affiliated Hospital of Medical School, Nanjing University, from May 2024 to December 2024 were enrolled in this single-center, prospective, randomized controlled trial. The participants were randomly divided into a probiotic treatment group and a control group (receiving conventional treatment without probiotics) using a random number method. The primary outcomes included the incidence of postoperative infectious complications and intra-abdominal infection, and the secondary outcomes were the recovery of gastrointestinal function, postoperative hospital stay, and duration and costs of antibiotic use. The hematological indicators including inflammation and immune markers on postoperative days (POD) 1, 3, 5, and 7 were also compared between these two groups.Results:Finally 72 cases (39 males and 33 females) were analyzed, with 36 patients in the probiotic treatment group and 36 patients in the control group. Compared to the control group, the probiotic treatment group showed statistically significant reductions in the incidence of infectious complications (33.3% vs. 66.7%, P=0.029), intra-abdominal infection (27.8% vs. 58.3%, P=0.030), and incidence of delayed gastric emptying (0 vs. 16.7%, P=0.033). Also, the probiotic treatment group exhibited significantly faster recovery in postoperative bowel movements and shorter time to defecation, liquid diet, and semi-liquid diet (all P<0.05). Additionally, the probiotic treatment group had significantly shorter hospital stay, reduced duration of antibiotic use, and lower antibiotic costs (all P<0.05). Finally, the probiotic treatment group had significantly higher lymphocyte counts on POD 1 ( P<0.05) and showed a significant downward trend in inflammatory markers such as interleukin-6 on PODs 3 and 5 and C-reactive protein on POD 7 (all P<0.05). Conclusions:Perioperative application of probiotic preparations in PD may reduce the incidence of postoperative infectious complications, especially intra-abdominal infection. Additionally, it can prevent delayed gastric emptying, promote the recovery of postoperative gastrointestinal function, shorten hospital stay, and reduce the use of antibiotics. These benefits may be related to the improvement of postoperative inflammatory status.

Purpose To analyze the value of a deep learning(DL)radiomics model based on dynamic contrast-enhanced MRI images in predicting the expression of Ki-67 status in breast cancer.Materials and Methods A retrospective analysis of 152 breast cancer patients confirmed by pathological results at Guangdong Women and Children Hospital,MRI images and clinical pathological data were reviewed,and based on postoperative immunohistochemistry results,the images of the high and low expression groups of Ki-67 were randomly sampled in a ratio of 8∶2 to form a training set of 122 cases and a validation set of 30 cases.Single-factor and multi-factor Logistic regression analyses of clinical data were performed to select independent predictors of breast cancer expressing Ki-67 status.The ResNet-18 model was used as the basic model for DL feature extraction.Hand-crafted radiomic features and DL features were extracted.Eight machine learning models were constructed based on clinical features,hand-crafted radiomic features,DL features,and their combinations.The area under the receiver operating characteristic curve was used to evaluate the predictive performance of the models,and the best model was determined as the output model.Results The progesterone receptor status(OR=0.764,P=0.040)and human epidermal growth factor receptor-2 status(OR=1.187,P=0.046)were independent clinical predictors of breast cancer expressing Ki-67 status.The combined feature models demonstrated superior performance over the individual feature models,and the support vector machine algorithm had the highest prediction performance in the validation set,with an area under the curve of 0.847.Conclusion The DL radiomics model based on dynamic contrast-enhanced MRI images can effectively predict the expression of Ki-67 status in breast cancer.The support vector machine algorithm combined with feature model is the best,which can help the clinical diagnosis and treatment of breast cancer and prognosis evaluation.

Objective To achieve a preliminary understanding of the current situation of clinical laboratories in Guangdong Province,and discuss how to establish a sound investigation system,and utilize quality indicators to improve laboratory quality through the inves-tigation and analysis of data from 16 clinical laboratory quality indicators issued by the National Center for Clinical Laboratories.Meth-ods The questionnaire was issued by Clinet-EQA system and the basic information and quality indicator information during 2023 were collected.SPSS 20.0 software was used for statistical analysis according to different specialty categories and hospital grades.The 13 quality indicators measured in rate-based units were evaluated by sigma measurement.The P75,P50 and P25 percentiles of the overall distribution of each quality index were used to explore the optimal,appropriate and minimum quality specifications.Results A total of 577 laboratories participated in this survey.In addition to the implementation rate of internal quality assessment and the inter-laboratory comparison rate,the median sigma(σ)value of 11/13 quality indicators was greater than 3σ,and some of them even reach the level of 6σ,and there were disparities between hospital laboratories at different grades.The turnaround time(TAT)of the whole process of emergency examination was significantly less than those of inpatient and outpatient,TAT before emergency examination was controlled within 20 min,TAT before outpatient examination was within 30 min,and TAT before inpatient examination was within 42 min.The optimal quality specifications of 8 out of 13 indicators reached 6σ level,while the minimum quality specifications of 2 out of 13 indica-tors were lower than 3σ level.Conclusion In Guangdong Province,the overall level of quality indicators in the post-analytical of clin-ical laboratories was superior to that in the pre-analytical and analytical process.It should be essential to continuously monitor quality indicators and actively adopt improvement measures for those laboratories with unsatisfactory results,so as to enhance the examination quality of laboratories.

Objective To retrieve the anticoagulation management related evidences in postoperative patients with heart valve operation to provide an evidence-based basis for medical professionals conducting the antithrombotic therapy in postoperative patients with heart valve operation.Methods The related evidences of anticoagulation management after heart valve surgery were retrieved from major databases and websites at home and abroad based on the"6S"evidence resource pyramid modeling system.The retrieval time was from January 1,2017 to February 29,2024.Two researchers trained by evidence-based care evaluated the quality of the literatures and extracted the relevant evidences meeting the criteria by combining with clinical situation.Results A total of 12 literatures were included,including 5 guidelines,4 clinical practices and 3 expert consen-sus.Thirty pieces of best evidences were summarized in eight aspects:contraindications,postoperative an-tithrombotic regimens,warfarin use method,vitamin K use precautions,daily life precautions,anticoagulation complications,long term perioperative anticoagulation bridging and complicating pregnancy.Conclusion The evidences summarized in this study could provide a reference for standardizing anticoagulation management in postoperative pa-tients with heart valve operation and for clinical healthcare workers in order to standardize the anticoagulation therapy after heart valve replacement and reduce the occurrence of anticoagulation-related complications.