Myocardial fibrosis is an important pathological process in the development of cardiovascular diseases, which is closely related to the prognosis of patients. Activated cardiac fibroblasts (CFs) are the main effector cells, whose surface specifically overexpress fibroblast activation protein (FAP). Radionuclide-labeled FAP inhibitors (FAPIs) can specifically bind to FAP to visualize activated CFs in vivo, showing preliminary clinical application in the early diagnosis, prognosis prediction and interventional guidance of various cardiovascular diseases. This article reviews the progress of researches on the application of radionuclide-labeled FAPIs in cardiovascular diseases imaging.

As one of the most difficult-to-cure neuropsychiatric disorders in clinical practice， schizophrenia is mainly manifested by behavioral abnormalities and multidimensional cognitive dysfunction， and the recurrence rate and disability rate of the disease are increasing year by year， which seriously affects patients' social functioning and quality of life， and even threatens the physical and mental health of the surrounding population. At present， the treatment of schizophrenia is mainly based on antipsychotic drugs combined with psychotherapeutic techniques， which have limited long-term therapeutic effects and a high relapse rate. Traditional Chinese medicine （TCM） boasts the advantages of multi-targets， multi-pathways， multi-links， and multi-levels， and plays a crucial role in the prevention and treatment of schizophrenia and its prognosis. Phosphatidylinositol 3-kinase （PI3K） is widely present in cells and is involved in the regulation of protein synthesis and apoptosis， and the different isoforms of protein kinase B （Akt） are of great significance in cell growth， oxidative stress， neuronal development and other processes. In recent years， a large number of studies have found that the PI3K/Akt signaling pathway is closely related to schizophrenia. Through regulating the PI3K/Akt signaling pathway， TCM monomers and TCM compounds mainly affect key signaling molecules such as mammalian target of rapamycin （mTOR）， glycogen synthase kinase （GSK）， glucose transporter （GLUT） for glucose uptake and transport， and nuclear factor E₂-associated factor 2 （Nrf2）， which organize the intracellular network of centers and regulate the formation and plasticity of neuronal synapse， and they play an important role in mitigating schizophrenia by regulating the processes of cell proliferation， migration and apoptosis of neurons， and has the advantages of multi-targets， all-encompassing and low toxicity. This article analyzes and explains the mechanism of TCM intervention in the PI3K/Akt signaling pathway against schizophrenia， in order to provide a theoretical basis and reference for the prevention and treatment of schizophrenia by TCM.

Objective To evaluate the correlation and consistency between an artificial intelligence(AI)bone mineral density(BMD)measurement system based on 3D-Densenet neural network technology and quantitative computed tomography(QCT)in measuring BMD,as well as to assess its effectiveness in diagnosing osteoporosis(OP).Methods A total of 1 201 participants who underwent low dose computed tomography(LDCT)were retrospectively included.The AI BMD measurement system and QCT were utilized to measure the BMD of T12,L1,L2 vertebrae,and the average BMD.Consistency and correlation of BMD measurements between the two methods were assessed using Bland-Altman,Pearson,and Kappa analyses.With QCT results as the reference standard,the receiver operating characteristic(ROC)curve was drawn to evaluate the accuracy of AI BMD measurement system in diagnosing OP.Results The r and r2 for the average BMD measured by the two methods were 0.997 and 0.993,respectively.The Kappa value for the diagnosis of normal BMD,low bone mass,and OP using the AI BMD measurement system was 0.905.The area under the curve(AUC)for diagnosing OP using the AI BMD measurement system was 0.998,with a sensitivity of 0.888 and specificity of 0.997.Conclusion The AI BMD measurement system based on 3D-Densenet neural network technology has a high correlation and consistency with the QCT measurement result,which can accurately diagnose normal BMD,low bone mass,and OP.

Objective To summarize the endoscopic and clinical diagnosis and treatment of 4 cases of gastric fundus adenocarcinoma.Method A retrospective analysis was conducted on the clinical data of four cases of gastric fundus adenocarcinoma from July 2021 to December 2023.Result All the 4 cases of gastric fundus adenocarcinoma were completely removed by endoscopic submucosal dissection(ESD),with good postoperative recovery,no surgical complications,and no recurrence or metastasis during follow-up.Conclusion ESD treatment for gastric fundus adenocarcinoma is safe,reliable,and can completely remove the lesion.

Objective To observe the reproducibility of radiomics feature(RF)extracted from virtual monoenergetic image(VMI)of rabbit VX2 hepatoma models obtained with 3 different dual-energy CT(DECT)systems,and to explore relationship of reproducibility and diagnostic performance of RF.Methods Fifteen rabbits with VX2 hepatoma were randomly divided into 3 groups(each n=5).Contrast-enhanced abdominal CT scanning under volume CT dose index(CTDIvol)levels of 6,9 and 12 mGy were performed with dual-source DECT(dsDECT),rapid kV switching DECT(rsDECT)and dual-layer detector DECT(dlDECT),respectively.VMI were reconstructed at 10 keV increments from 40 to 140 keV.RF were extracted from VMI,the reproducibility was assessed using intra-class correlation coefficient(ICC),and those with ICC≥0.8 were considered as reproducible RF.The percentage of reproducible features(denoted by R)were compared among different scanner pairings and different CTDIvol levels.Within each CTDIvol group,the reconstruction energy levels yielding the maximum number(denoted by N)of common RF across different scanner pairings were identified.The receiver operating characteristic(ROC)curve was drawn,the area under the curve(AUC)was calculated,and the diagnostic efficacies of reproducible RF and other RF were compared under optimal reproducible conditions.Spearman correlation coefficient between ICC and the corresponding AUC of RF were calculated.Results RrsDECT-dsDECT(6.45％,95％CI[2.36％,8.87％])was higher than RdlDECT-dsDECT(0.72％,95％CI[0.15％,1.79％])and RrsDECT-dlDECT(1.43％,95％CI[0.60％,4.06％])(all adjusted P＜0.05),R9mGy(3.70％,95％CI[1.31％,5.73％])and R12mGy(2.63％,95％CI[0.60％,6.69％])were higher than R6mGy(1.31％,95％CI[0.12％,1.55％])(all adjusted P＜0.05).The optimal reproducible reconstruction energy levels of RF under CTDIvol of 6,9 and 12 mGy concentrated at 50-70 keV.AUC of reproducible RFs were higher than of other RF(all adjusted P＜0.05)and had certain correlation with the reproducibility(rs=0.102-0.516,P＜0.05).Conclusion The reproducibility of RF extracted from contrast-enhanced VMI CT images of rabbit VX2 hepatoma models associated with DECT scanner,CTDIvol level and reconstruction energy level.RF with higher reproducibility might have better diagnostic performance.

Objective To observe the value of dual domain(projection domain and image domain)joint learning reconstruction network(DDRNet)for reconstructing chest limited angle CT images.Methods Totally 4 300 chest enhanced CT images of 65 patients with chest tumors were retrospectively enrolled and reconstructed with DDRNet,and 3D and 2D projection information fusion were performed.The reconstruction effect of DDRNet was evaluated and compared with that of single domain reconstruction and filtered back projection(FBP),residual encoder-decoder convolutional neural network(RED-CNN),Resnet and deconvolution network(RDN),as well as of generative adversarial network(GAN).Results The peak signal to noise ratio(PSNR)of DDRNet reconstructed images tended to stabilize after approximately 60 iterations,while the projection domain and image domain learning networks tended to stabilize after approximately 90 and 80 iterations.After stable training,compared to the projection domain learning network,the fluctuation of output results of DDRNet and image domain learning networks were less.After 200 rounds of training,PSNR of DDRNet reconstructed images was significantly higher than that of projection domain and image domain learning networks.The quality of DDRNet reconstructed image was significantly better than that of FBP,RED-CNN,RDN and GAN.Conclusion DDRNet could be used to effectively reconstruct high-quality chest limited angle CT images.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Background/Aims: To evaluate the causal correlation between complement components and non-viral liver diseases and their potential use as druggable targets. Methods: We conducted Mendelian randomization (MR) to assess the causal role of circulating complements in the risk of non-viral liver diseases. A complement-centric protein interaction network was constructed to explore biological functions and identify potential therapeutic options. Results: In the MR analysis, genetically predicted levels of complement C1q C chain (C1QC) were positively associated with the risk of autoimmune hepatitis (odds ratio 1.125, 95% confidence interval 1.018–1.244), while complement factor H-related protein 5 (CFHR5) was positively associated with the risk of primary sclerosing cholangitis (PSC;1.193, 1.048– 1.357). On the other hand, CFHR1 (0.621, 0.497–0.776) and CFHR2 (0.824, 0.703–0.965) were inversely associated with the risk of alcohol-related cirrhosis. There were also significant inverse associations between C8 gamma chain (C8G) and PSC (0.832, 0.707–0.979), as well as the risk of metabolic dysfunction-associated steatotic liver disease (1.167, 1.036–1.314). Additionally, C1S (0.111, 0.018–0.672), C7 (1.631, 1.190–2.236), and CFHR2 (1.279, 1.059–1.546) were significantly associated with the risk of hepatocellular carcinoma. Proteins from the complement regulatory networks and various liver diseaserelated proteins share common biological processes. Furthermore, potential therapeutic drugs for various liver diseases were identified through drug repurposing based on the complement regulatory network. Conclusions Our study suggests that certain complement components, including C1S, C1QC, CFHR1, CFHR2, CFHR5, C7, and C8G, might play a role in non-viral liver diseases and could be potential targets for drug development.

Objective: To analyze the epidemiological characteristics of public health emergencies in Zhoushan City from 2004 to 2021, so as to provide insights into the prevention and control of public health emergencies. Methods : Data pertaining to public health emergencies and their associated data in Zhoushan City from 2004 to 2021 were retrieved from Emergency Public Health Management Information System of Chinese Disease Prevention and Control Information System. The type, date of occurrence and places of public health emergencies were descriptively analyzed. Results: Sixty public health emergencies were reported in Zhoushan City from 2004 to 2021, during which 1 527 cases were reported and 52 661 individuals were involved, with an attack rate of 2.90% (95%CI: 2.78%-3.02%). There were 3 Ⅲ-level (5.00%), 13 Ⅳ-level (21.67%) and 44 unclassified public health emergencies (73.33%), and no Ⅰ- or Ⅱ-level emergencies were reported. The reported public health emergencies peaked in January (9), August (6) and December (9), and there were 47 infectious disease emergencies (78.33%), 10 food poisoning emergencies (16.67%) and 3 chemical gas poisoning emergencies (5.00%), respectively. The four most common infectious disease emergencies included other infectious diarrhea (25.53%), COVID-19 (17.02%), influenza (14.89%) and chickenpox (14.89%). School and kindergarten were predominant places where public health emergencies occurred (39, 65.00%), and the three most common public health emergencies reported by schools and kindergartens included other infectious diarrhea (28.21%), influenza (17.95%) and chickenpox (17.95%). Conclusions Infectious disease emergencies were predominant public health emergencies in Zhoushan City from 2004 to 2021, and Ⅳ-level and unclassified emergencies were predominant. Public health emergencies mainly occurred in schools and kindergartens.

Objective:To evaluate the role of small ubiquitin-associated modifier (SUMO) E3 ligase (PIAS)-regulated SUMOylation of peroxisome proliferator-activated receptor γ (PPARγ) in the endogenous protective mechanism against endotoxin-induced acute lung injury (ALI) in mice.Methods:Experiment Ⅰ Twenty-four clean-grade wild type male C57BL/6 mice, aged 6-8 weeks, weighing 18-22 g, were divided into 4 groups ( n=6 each) using a random number table method: control group (C group), ALI group, ALI+ PPARγ inducer TZD group (ALI+ T group) and ALI+ TZD+ SUMOylation inhibitor anacardic acid group (ALI+ T+ A group). Lipopolysaccharide (LPS) 15 mg/kg was injected into the tail vein to develop the ALI model. In ALI+ T+ A group, anacardic acid 5 mg/kg was intraperitoneally injected at 1 h before LPS administration. In ALI+ T group and ALI+ T+ A group, TZD 50 mg/kg was intraperitoneally injected at 30 min before LPS administration. The mice were sacrificed at 12 h after LPS administration, and the lung tissues were obtained to examine the pathological changes which were scored and to determine the wet/dry (W/D) weight ratio, and expression of PIAS1, PIAS2, PIAS3 and PIASy protein and mRNA (by Western blot or polymerase chain reaction). Experiment Ⅱ Mouse alveolar macrophages (MH-S cells) were cultured in vitro and divided into 4 groups ( n=5 each) using a random number table method: control group (C group), LPS group, LPS+ PIAS2 siRNA group (L+ P group) and LPS+ Con siRNA group (L+ C group). Cells were routinely cultured in group C. Cells were stimulated with 10 μg/ml LPS to develop the model of endotoxin challenge. PIAS2 siRNA 50 nmol/L and Con siRNA 50 nmol/L were transfected at 48 h before LPS was added in L+ P group and L+ C group, respectively. The cells were collected at 24 h of incubation with LPS to determine the cell viability, levels of M1 and M2 alveolar macrophages (by flow cytometry), expression of PIAS2 and PPARγ (by Western blot), co-expression of PPARγ-SUMO1 (by immunoprecipitation) and expression of tumor necrosis factor-alpha (TNF-α) and interleukin-10 (IL-10) mRNA (by polymerase chain reaction). The ratio of M1/M2 was calculated. Results:Experiment Ⅰ Compared with C group, the lung injury scores and W/D ratio were significantly increased, and the expression of PIAS2 protein and mRNA was up-regulated in the other three groups ( P<0.05). Compared with ALI group, the lung injury scores and W/D ratio were significantly decreased, and the expression of PIAS2 protein and mRNA was up-regulated in ALI+ T group and ALI+ T+ A group ( P<0.05). Compared with ALI+ T group, the lung injury scores and W/D ratio were significantly increased, and the expression of PIAS2 protein and mRNA was down-regulated in ALI+ T+ A group ( P<0.05). There was no significant difference in the expression of PIAS1, PIAS3 and PIASy protein and mRNA in lung tissues among the four groups ( P>0.05). Experiment Ⅱ Compared with C group, the cell viability was significantly decreased, the expression of PPARγ and co-expression of PPARγ-SUMO1 was up-regulated, the levels of M1 and M2 macrophages and M1/M2 ratio were increased, the expression of TNF-α mRNA was up-regulated, and the expression of IL-10 mRNA was down-regulated in the other three groups, and PIAS2 expression was significantly up-regulated in L group and L+ C group ( P<0.05). Compared with L group, the cell viability was significantly decreased, the expression of PIAS2 and PPARγ and PPARγ-SUMO1 co-expression were down-regulated, the M1 macrophage level and M1/M2 ratio were increased, TNF-α mRNA expression was up-regulated, and the expression of IL-10 mRNA was down-regulated in L+ P group ( P<0.05), and no significant change was found in the parameters mentioned above in L+ C group ( P>0.05). Compared with L+ C group, the cell viability was significantly decreased, the expression of PIAS2 and PPARγ and co-expression of PPARγ-SUMO1 were down-regulated, the level of M1 alveolar macrophages and M1/M2 ratio were increased, the expression of TNF-α mRNA was down-regulated, and the expression of IL-10 mRNA was up-regulated in L+ P group ( P<0.05). Conclusions:PIAS2-regulated SUMOylation of PPARγ is the endogenous protective mechanism against endotoxin-induced ALI in mice, which may be related to inhibition of macrophage polarization into M1 type and alleviation of inflammatory responses.