Kidney transplantation is the most effective treatment for end-stage renal failure, and antibody-mediated rejection remains the leading cause of late allograft loss. Macrophages, as central effectors of innate immunity, play a crucial role in the initiation, progression and tissue damage of antibody-mediated rejection. This article reviews the spatiotemporal dynamic evolution of macrophage polarization status in different stages of antibody-mediated rejection, the fine regulation of key signaling pathways for macrophage polarization, macrophage related molecules and the application prospects of targeted macrophage therapy. In depth analysis of the research progress of macrophages in antibody-mediated rejection, aiming to provide important theoretical basis for the development of precision diagnostic tools based on macrophages and novel immune intervention targets for antibody mediated rejection, ultimately promoting the improvement of long-term prognosis in kidney transplantation.

Objective: To investigate the barrier membrane fixation performance and enhanced guided bone regeneration (GBR) capability of a thermosensitive adhesive containing bioactive glass nanoparticles in order to provide a novel solution for membrane fixation during GBR procedures. Methods: M2NP@BGN (methoxyethyl acrylate-co-N-isopropylacrylamide-co-protocatechuic acid@Bioactive glass nanoparticle), a thermosensitive adhesive, was synthesized via free radical polymerization by compositing methoxyethyl acrylate, N-isopropylacrylamide, and protocatechuic acid into a basic adhesive that was modified with bioactive glass nanoparticle (BGN). The successful fabrication of basic adhesive M2NP was characterized by attenuated total reflection-Fourier transform infrared spectroscopy and nuclear magnetic resonance spectroscopy. The thermosensitive adhesive M2NP@BGN (BGN concentration of 1 mg/mL) was characterized by scanning electron microscopy and a rheometer. By adjusting the BGN concentration (0.1 mg/mL, 0.5 mg/mL, 1 mg/mL, and 2 mg/mL), the adhesive and mechanical strengths were investigated with a universal testing machine. Biocompatibility was evaluated with a cell counting kit-8 assay and hemolysis test to identify the optimal formulation. The optimal material’s extract was co-cultured with mouse bone marrow mesenchymal stem cells, and its osteogenic activity was examined in vitro by quantitative real-time PCR, alkaline phosphatase, and alizarin red S staining. The rat mandibular defect model was established, filled with bone graft, and divided into 3 groups based on membrane fixation method: M2NP@BGN (BGN concentration of 1 mg/mL) fixation group (M2NP@BGN), titanium nail fixation group (Nail), and unfixed control group (Negative). Bone regeneration was analyzed after 8 weeks by micro computed tomography and histological staining. Results: M2NP@BGN (BGN concentration of 1 mg/mL) was successfully synthesized and demonstrated rapid gelation under warm, humid conditions. The adhesive with a BGN concentration of 1 mg/mL exhibited the highest adhesive strength (P < 0.001) and significantly enhanced mechanical strength (P < 0.001) under 37℃ wet conditions. All formulations showed excellent biocompatibility, with cell viability > 80% and hemolysis ratio < 5%. M2NP@BGN (BGN concentration of 1 mg/mL) significantly upregulated the expression of Runx2 and Col I (P < 0.001) and enhanced the activity of osteogenic differentiation markers (P < 0.05). In the animal model, the M2NP@BGN group (BGN concentration of 1 mg/mL) achieved significantly higher bone volume fraction and better bone maturity compared to the negative and nail groups (P < 0.05). Conclusion M2NP@BGN (BGN concentration of 1 mg/mL) combines excellent wet adhesion with potent osteogenic activity, enhances the bone augmentation efficacy of membranes, and presents a novel fixation strategy with significant clinical translation potential for GBR therapy.

Objective: To investigate the status of heat illness, knowledge awareness and adaptive behaviors of heat wave knowledge among food delivery riders, so as to provide a basis for optimizing heat wave response measures for food delivery riders. Methods: In November 2022, food delivery riders from a large food delivery platform in Ningbo City, Zhejiang Province were selected as survey subjects using a cluster sampling method. A self-designed electronic questionnaire was used to select demographic information, work status, lifestyle behaviors and disease history, heat illness status, knowledge awareness and adaptive behaviors of heatwave. Results: A total of 911 questionnaires were distributed, and 830 valid questionnaires were recovered, resulting in a valid response rate of 91.11%. Among the respondents, 796 (95.90%) were male, and 818 (98.55%) worked full-time. The mean age was (27.75±8.00) years. A total of 470 respondents (56.63%) had a work tenure of less than 1 year. The primary working hours were 8-<12 hours, with 504 people accounting for 60.72%. There were 108 cases of heatstroke, with an occurrence rate of 13.01%. And 286 people reported heat-related symptoms, with an occurrence rate of 34.46%. The overall awareness rate of heat wave knowledge was 73.22%, while the awareness rate of heat warning signal classification was relatively low at 9.04%. The heat wave cognition score was (5.86±1.31) points. There were statistically significant differences in heat wave cognition scores among food delivery riders of different ages, educational levels, family annual income, work tenures, and work durations (all P<0.05). Regarding positive adaptive behaviors, the number of riders paying attention to weather forecasts and actively learning about preventive measures was higher (734 people each, accounting for 88.43%). Regarding negative adaptive behaviors, the number of riders who often drank ice-cold beverages was higher (509 people, accounting for 61.33%). The heat wave adaptive behavior score was (6.88±1.77) points. There were statistically significant differences in adaptive behavior scores among riders with different educational levels, family annual income, work tenures, and smoking frequency (all P<0.05). Conclusions The occurrence rates of heatstroke and heat-related symptoms among food delivery riders are relatively high. The knowledge awareness and adaptive behaviors regarding heat wave are at a moderate level. It is suggested to strengthen health education, reinforce risk cognition of heat wave, and promote positive adaptive behaviors among food delivery riders.

OBJECTIVE To evaluate the therapeutic efficacy of 5 regimens of colistin sulfate for common Gram-negative bacilli infection based on pharmacokinetics （PK）/pharmacodynamics （PD） theory and Monte Carlo simulation. METHODS Minimal inhibitory concentration （MIC） data of colistin sulfate against Acinetobacter baumannii， Pseudomonas aeruginosa， Klebsiella pneumoniae， Escherichia coli and Enterobacter cloacae in 2023 were collected from the China Antimicrobial Resistance Surveillance System. Monte Carlo simulation was conducted with the ratio of the area under the concentration-time curve from 0 to 24 hours in the unbound state to the MIC （fAUC0－24 h/MIC） ≥15 as the target value， the probabilities of target attainment （PTA） of 5 regimens of colistin sulfate to achieve the target ratio were obtained at different MIC； and the expected population PTA， specifically the cumulative fraction of response （CFR）， for each regimen within a specific bacterial population was further calculated， to evaluate the therapeutic efficacy of the five colistin sulfate regimens. RESULTS When bacterial MIC≤0.5 µg/mL， PTA of all colistin sulfate regimens （500 000 IU， q12 h； 500 000 IU， q8 h； 750 000 IU， q12 h； 750 000 IU， q8 h； 1 000 000 IU， q12 h） were all more than 90%. When bacterial MIC＝1 µg/mL， PTA for regimen （750 000 IU， q8 h） against A. baumannii， K. pneumoniae， P. aeruginosa， E. coli and E. cloacae， and for regimen （1 000 000 IU， q12 h） against the other four bacterial species （excluding P. aeruginosa） remained above 90%. When bacterial MIC≥2 µg/mL， PTA of 5 colistin sulfate regimens were all lower than 90%. For E. coli， the CFR of only colistin sulfate regimen （500 000 IU， q12 h） was less than 90%； for K. pneumoniae， the CFR of only colistin sulfate regimen （750 000 IU， q8 h and 1 000 000 IU， q12 h） was greater than 90%； for the other three bacteria， CFR of 5 regimens were all less than 90%. CONCLUSIONS When the MIC of Gram-negative bacteria is less than 0.5 µg/mL， colistin sulfate regimen with a routine dose can be selected for treatment. When MIC was 1 µg/mL， an increase in the dosing amount or frequency is required. The empirical treatment of the other four bacterial infections excluding E. coli requires the use of off-label doses.

Duodenum-preserving pancreatic head resection， also known as Beger surgery， has a high incidence rate of bile duct injury after surgery， while the treatment modality for bile duct injury depends on the severity of the injury， and endoscopic therapy is often challenging in case of severe bile duct injury. Recently a patient with biliary fistula after Beger surgery was admitted to Affiliated Hangzhou First People’s Hospital， Westlake University， and successful diagnosis and treatment were achieved through oral choledochoscopy-assisted percutaneous-endoscopic rendezvous technique.

In recent years, the rapid development of digital intelligence has provided a new path for rare disease data sharing and injected new power into the progress of research of rare diseases. This research is aimed at summarizing and consolidating relevant literatures on data sharing driven by digital intelligence (DI) in China and abroad, and constructing a local theoretical framework of DI-driven data sharing for rare diseases based on the status of rare diseases in China. Searching PubMed, EMbase, Cochrane, CNKI, Wanfang, and VIP database, we obtain a total of 214 representative literatures. Through literature review, we find that DI technologies have played important roles in different aspects of rare disease data sharing. China, the United States, and Europe have formed their own DI-driven data sharing systems for rare disease. From the theory of " Information Commons", we analyze the gap between China′s current situation and the goal of a " Rare Disease Data Commons". Based on the analysis, we put forward the idea of framework of " DI-STARS". China should develop the Data Sharing system making DI as the core of the system. Meanwhile, China should strengthen the data standardization system, create an innovation-encouraging environment, and build a bridge between different platforms. Using the DI-STARS theory, China will be able to build the " Rare Disease Data Commons" so that the diagnosis and treatment of rare diseases will be enhanced in China to meet the patients′ needs.

Surface plasmon resonance （SPR） sensor is an optical detection technique enables real-time and dynamic monitoring of biological samples. SPR-based biosensors have remarkable characteristics such as label-free detection and high sensitivity, making them important tools for studying molecular interactions. The recognition element, which plays a critical role in SPR sensors,which could specifically identify and capture of target analytes, closely influencing the selectivity performance of the sensor. The progress on SPR sensors in pharmaceutical research were reviewed, which focused on the application of recognition elements such as antibodies, aptamers, molecularly imprinted polymers, and metal nanoparticles.

Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

[Objective] To compare the clinical efficacy of super pulse thulium laser enucleation of the prostate (SPThuLEP) with "open tunnel" and transurethral holmium laser enucleation of the prostate (HoLEP) in the treatment of benign prostatic hyperplasia (BPH), in order to provide reference for the treatment options of BPH. [Methods] The clinical data of 112 BPH patients treated in our hospital during Jan.2023 and Jul.2023 were retrospectively analyzed, including 65 treated with SPThuLEP with "open tunnel" and 57 with HoLEP.The operation time, postoperative hemoglobin decrease, postoperative bladder irrigation, catheter indwelling time, hospitalization time and complications were compared between the two groups.The changes of maximum urine flow rate (Qmax), international prostate symptom score (IPSS), quality of life score (QoL), postvoid residual (PVR) and prostate-specific antigen (PSA) were compared between the two groups before operation and one month after operation. [Results] All operations were successful without conversion to open or transurethral plasmakinetic resection.The postoperative decrease of hemoglobin in SPThuLEP group was lower than that in HoLEP group [(13.12±6.72) g/L vs. (21.02±6.51) g/L], with statistical difference (P<0.05). There were no significant differences in the operation time [(63.35±15.73) min vs.(61.02±17.55) min], postoperative bladder irrigation time [(1.07±0.45) d vs. (1.06±0.36) d], catheter indwelling time [(2.98±0.56) d vs. (3.01±0.63) d] and hospitalization time [(3.63±0.61) d vs.(3.79±0.76) d] between the two groups (P>0.05). No blood transfusion, secondary bleeding or unplanned hospitalization occurred, and there were no serious complications such as transurethral electroresection syndrome (TURS), urethral stricture and urinary incontinence.One month after operation, the Qmax, IPSS, QoL, PVR and PSA of the two groups were significantly improved compared with those before operation (P<0.05), but with no statistical difference between the two groups (P>0.05). [Conclusion] SPThuLEP with "open tunnel" has comparable efficacy as HoLEP in the treatment of BPH.With advantages of small amount of bleeding and high safety, this minimally invasive technique can be widely popularized in clinical practice.

BACKGROUND:The development of artificial intelligence in the medical field is rapidly advancing,with increasing research on its applications in the field of bone trauma.Through bibliometric analysis,this paper analyzed the research hotspots of artificial intelligence in the field of bone trauma in recent years,and predicted the future research trend. OBJECTIVE:To summarize the development history,research status,hot spots,and future development trends of artificial intelligence technology in the field of bone trauma to provide new insights for future research. METHODS:This study selected relevant literature from the Web of Science core database,covering the period from the inception to August 2023,and retrieved 420 articles related to the application of artificial intelligence,machine learning,and deep learning in the field of bone trauma.After manual screening,202 articles related to this article were exported,and Citespace software was used for visual analysis of cooperation of countries,institutions,cited journals,citation analysis,keyword co-occurrence,and other aspects. RESULTS AND CONCLUSION:(1)The overall number of publications from the 202 selected articles showed an upward trend,indicating significant research potential for future studies.The country with the highest centrality and the highest publication volume was the United States.The University of California(USA)was the most prolific research institution.(2)The top five most commonly used keywords in bone trauma research using artificial intelligence were deep learning,artificial intelligence,bone density,machine learning,and diagnosis.The keyword with the highest centrality was bone density,and the keyword with the highest frequency was deep learning.(3)The top 10 most cited reference papers provided comprehensive insights into the feasibility of applying artificial intelligence techniques to the diagnosis of bone trauma from various perspectives.Among them,eight papers focused on bone and joint injuries and deep convolutional neural networks.One paper discussed the use of deep learning in detecting osteoporosis in CT scans to prevent fragility fractures,while another paper explored the correlation between the application of artificial intelligence in identifying changes in skin texture and the recognition of bone characteristics.(4)In the future,the research hotspots of artificial intelligence will mainly focus on the specific study of fractures caused by bone and joint trauma and osteoporosis.The research trend mainly focuses on improving the performance of artificial intelligence algorithms,using new artificial intelligence technologies to accurately classify and quickly and efficiently diagnose bone injuries,especially for the diagnosis of complex and hidden fractures.By establishing finite element analysis models,more standardized evaluations of bone injuries can be achieved.