Objective To address the current blind spots in quality control and the risk of data distortion in radiological health technical service institutions, overcome the limitations of low efficiency and insufficient anomaly identification in manual verification, establish an automatic anomaly early warning mechanism based on AI algorithms, provide accurate clues for health supervision and law enforcement, and significantly enhance the efficiency of industry supervision. Methods On-site inspection data were collected via photographic imaging. Advanced image processing and object detection algorithms were employed to automatically extract and analyze key information from the images. Through data analysis, the system was used to calculate and assess the inspection results. A dynamic early warning engine was developed to automatically trigger alerts upon detection of deviations from standard thresholds or regulatory violations in radiological health technical services. These alerts were delivered through a regulatory information system. Results Following AI model training, the accuracy of the image processing and object detection algorithms reached 99% and the early warning accuracy reached 93%. Compared with the traditional supervision mode, the efficiency of anomaly detection was improved and the average response time was shortened. Conclusion The full-process supervision information system constructed in this study has realized the triple mechanism of pre-event standardization, in-event monitoring, and post-event traceability for radiological health technical services. In particular, the system has established a four-level quality control chain of “institutional self-inspection, intelligent recheck, expert judgment, and administrative action”, providing a technological innovation path for ensuring the radiation protection and safety of medical staff, patients, and the public.

Chemotherapy is an important treatment for tumors， but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine （TCM） has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors， such as cold-natured （e.g. Scutellaria baicalensis， Rhus chinensis）， cool-natured （e.g. Ligustrum lucidum， Ophiopogon japonicus）， warm-natured （e.g. Panax ginseng， Epimedium brevicornu， Curcuma longa， Angelica sinensis）， hot-natured （e.g. Cinnamomum cassia， Aconitum carmichaeli）， and neutral-natured （e. g. donkey-hide gelatin， Lycium barbarum， Rhodiola rosea， fungi）， can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells， improving the bone marrow hematopoietic microenvironment， inhibiting the oxidative stress response， regulating signaling pathways， so as to ultimately repaire inflammatory damage and improve hematopoietic function， thereby playing an anti-myelosuppressive role.

Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.

Objective: To investigate the effects of “Three Methods and Three Acupoints” (TMTP) Tuina therapy on spinal microcirculation in sciatic nerve injury (SNI). Methods: Thirty-six Sprague–Dawley rats were randomly assigned to four groups: normal, sham operation, model, and TMTP Tuina. Successful model induction was confirmed by observable hind limb lameness. After 20 sessions, hind limb grip strength and motor nerve conduction velocity (MNCV) were measured at baseline and following the 10th and 20th intervention. CD31 and α-SMA in the ventral horn of SNI model rats were detected using immunofluorescence. Motor neurons in the ventral horn were detected by Nissl staining. PTEN levels in the ventral horn were measured by ELISA, and PI3K, Akt, BDNF, VEGF, and HIF-1α expression was determined by RT-PCR. Spinal cord microcirculation was evaluated by western blotting analysis of the levels of Akt, p-Akt, BDNF, and VEGF. Results: Hind limb grip strength and MNCV significantly improved in the TMTP Tuina group compared to the model group (both P < .001). Morphology of ventral horn motor neurons in the TMTP Tuina group improved compared to the model group, with increased expressions of α-SMA (P = .002) and CD31 (P = .006). Western blot analysis indicated increased expression of VEGF (P = .005), p-Akt (P < .001), and BDNF (P = .008) in the ventral horn following Tuina treatment. RT-PCR analysis revealed increased expression of PI3K, Akt, BDNF, VEGF and HIF-1α (all P < .05). In contrast, expression of PTEN decreased compared to the model group (P < .001). Conclusion TMTP Tuina therapy may restore motor function in rats, enhance ventral horn motor neuron morphology, and promote angiogenesis and vascular smooth muscle proliferation. The mechanism may involve the activation of the PI3K/Akt signaling pathway.

Diabetic peripheral neuropathy（DPN） is a neurodegenerative disease of diabetes mellitus involving peripheral nervous system damage， which is characterized by axonal degenerative necrosis， Schwann cell apoptosis and demyelination of nerve myelin sheath as the main pathological features， this disease is highly prevalent and is a major cause of disability in diabetic patients. Currently， the pathogenesis of DPN may be related to oxidative stress， inflammatory response， metabolic abnormality， and microcirculation disorder. The treatment of DPN in modern medicine mainly starts from controlling blood glucose， nourishing nerves and improving microcirculation， which can only alleviate the clinical symptoms of patients， and it is difficult to fundamentally improve the pathological damage of peripheral nerves. Mitochondrial quality control refers to the physiological mechanisms that can maintain the morphology and functional homeostasis of mitochondria， including mitochondrial biogenesis， mitochondrial dynamics， mitochondrial oxidative stress and mitochondrial autophagy， and abnormal changes of which may cause damage to peripheral nerves. After reviewing the literature， it was found that traditional Chinese medicine（TCM） can improve the low level of mitochondrial biogenesis in DPN， maintain the balance of mitochondrial dynamics， inhibit mitochondrial oxidative stress and mitochondrial autophagy， and delay apoptosis of Schwann cells and neural axon damage， which has obvious effects on the treatment of DPN. With the deepening of research， mitochondrial quality control may become one of the potential targets for the research of new anti-DPN drugs， therefore， this paper summarized the research progress of TCM in treating DPN based on four aspects of mitochondrial quality control， with the aim of providing a theoretical research basis for the discovery of new drugs.

Objective To study the quality comparability of human coagulation factor Ⅷ(FⅧ)produced before and after the change of factory site.Methods A comparative study was carried out on quality quantitative indexes,related im-purities and stability data of FⅧ produced before and after the change of factory site.Results The FⅧ quantitative quality before and after the change of factory site all met the quality standard,and the related impurities including aluminum resi-due,tributyl phosphate residue,polysorbate 80 residue and PEG residue all met the quality standard.Other impurities in-cluding human fibrinogen,fibronectin,plasminogen,IgA,IgM and IgG were extremely low in content and equivalent in quality.The content of VWF(von Willebrand factor)had no obvious change before and after the change of factory site,but was significantly higher than that of other domestic manufacturers'commercial products.The results of accelerated stability and long-term stability tests showed that the titer of FⅧ fluctuated within the methodological error range,and the results all met the quality standard.Conclusion The change of factory site of FⅧ has no effect on the quality.

Objective:To explore the effects of short-term particulate matter(PM)exposure and the melatonin receptor 1B(MTNR1B)gene on triglyceride-glucose(TyG)index utilizing data from Fang-shan Family-based Ischemic Stroke Study in China(FISSIC).Methods:Probands and their relatives from 9 rural areas in Fangshan District,Beijing,were included in the study.PM data were obtained from fixed monitoring stations of the National Air Pollution Monitoring System.TyG index was calculated by fasting triglyceride and glucose concentrations.The associations of short-term PM exposure and rs10830963 polymorphism of the MTNR1B gene with the TyG index were assessed using mixed linear models,in which covariates such as age,sex,and lifestyles were adjusted for.Gene-environment inter-action analysis was furtherly performed using the maximum likelihood methods to explore the potential effect modifier role of rs10830963 polymorphism in the association of PM with TyG index.Results:A total of 4 395 participants from 2 084 families were included in the study,and the mean age of the study participants was(58.98±8.68)years,with 53.90％females.The results of association analyses showed that for every 10 μg/m3 increase in PM2.5 concentration,TyG index increased by 0.017(95％CI:0.007-0.027),while for per 10 μg/m3 increment in PM1o,TyG index increased by 0.010(95％CI:0.003-0.017).And the associations all had lagged effects.In addition,there was a positive association between the rs10830963 polymorphism and the TyG index.For per increase in risk allele G,TyG index was elevated by 0.040(95％CI:0.004-0.076).The TyG index was 0.079(95％CI:0.005-0.152)higher in carriers of the GG genotype compared with carriers of the CC genotype.The inter-action of rs10830963 polymorphism with PM exposure had not been found to be statistically significant in the present study.Conclusion:Short-term exposure to PM2.5 and PM10 were associated with higher TyG index.The G allele of rs10830963 polymorphism in the MTNR1B gene was associated with the elevated TyG index.

Objective:To explore the association between polymorphisms of transforming growth factor-β(TGF-β)signaling pathway and non-syndromic cleft lip with or without cleft palate(NSCL/P)among Asian populations,while considering gene-gene interaction and gene-environment interaction.Methods:A total of 1 038 Asian NSCL/P case-parent trios were ascertained from an international consortium,which conducted a genome-wide association study using a case-parent trio design to investigate the genes affec-ting risk to NSCL/P.After stringent quality control measures,343 single nucleotide polymorphism(SNP)spanning across 10 pivotal genes in the TGF-β signaling pathway were selected from the original genome-wide association study(GWAS)dataset for further analysis.The transmission disequilibrium test(TDT)was used to test for SNP effects.The conditional Logistic regression models were used to test for gene-gene interaction and gene-environment interaction.Environmental factors collected for the study in-cluded smoking during pregnancy,passive smoking during pregnancy,alcohol intake during pregnancy,and vitamin use during pregnancy.Due to the low rates of exposure to smoking during pregnancy and al-cohol consumption during pregnancy(＜3％),only the interaction between maternal smoking during pregnancy and multivitamin supplementation during pregnancy was analyzed.The threshold for statistical significance was rigorously set at P=1.46 × 10-4,applying Bonferroni correction to account for multiple testing.Results:A total of 23 SNPs in 4 genes yielded nominal association with NSCL/P(P＜0.05),but none of these associations was statistically significant after Bonferroni's multiple test correction.How-ever,there were 6 pairs of SNPs rs4939874(SMAD2)and rs1864615(TGFBR2),rs2796813(TGFB2)and rs2132298(TGFBR2),rs4147358(SMAD3)and rs1346907(TGFBR2),rs4939874(SMAD2)and rs1019855(TGFBR2),rs4939874(SMAD2)and rs12490466(TGFBR2),rs2009112(TGFB2)and rs4075748(TGFBR2)showed statistically significant SNP-SNP interaction(P＜1.46 × 10-4).In contrast,the analysis of gene-environment interactions did not yield any significant results after being cor-rected by multiple testing.Conclusion:The comprehensive evaluation of SNP associations and interac-tions within the TGF-β signaling pathway did not yield any direct associations with NSCL/P risk in Asian populations.However,the significant gene-gene interactions identified suggest that the genetic architec-ture influencing NSCL/P risk may involve interactions between genes within the TGF-β signaling path-way.These findings underscore the necessity for further investigations to unravel these results and further explore the underlying biological mechanisms.

Objective To observe the value of contrast-enhanced CT radiomics combined with clinical and hematology indicators for predicting lymph node(LN)metastasis(LNM)of esophageal squamous cell carcinoma(ESCC).Methods Totally 218 ESCC patients were retrospectively enrolled.Stage pN1 and pN2 were clustering as LNM(n=90),while stage pN0 were taken as non-LNM(n=128).The patients were divided into training set(n=174)and test set(n=44)at the ratio of 8∶2.In training set,clinical and LN imaging features which could be used to independently judge LNM were screened and a clinical-imaging model was constructed.The hematological indicators that might be associated with ESCC LNM were screened,and a hematological model was constructed.Radiomics features in LN ROI and ESCC volume of interest(VOI)were extracted based on venous-phase contrast-enhanced CT images,and those might be associated with LNM were screened,and a radiomics model was constructed.Finally a combined model was constructed based on all the above features.The efficacy of each model for diagnosing LNM was evaluated with the area under the curve(AUC)of receiver operating characteristic curves,and the clinical net benefit was evaluated using decision curve analysis(DCA).Results Body mass index(BMI)and internal necrosis of target LN were both independent judging factors for ESCC LNM(both P＜0.05),and AUC of clinical-imaging model for diagnosing LNM in training and test sets was 0.747 and 0.687,respectively.Seven hematological indicators were included in hematological model,and AUC in training and test sets was 0.623 and 0.583,respectively.Ten LN radiomics features and 15 ESCC radiomics features were included in radiomics model,and AUC in training and test sets was 0.769 and 0.745,respectively.AUC of the combined model for diagnosing LNM in training and test sets was 0.822 and 0.739,respectively,better than other models in training set(all P＜0.05),but no significantly different in test set(all P＞0.05).DCA showed that combined model had higher net gain than the other models in 0.55-0.80 threshold probability interval.Conclusion Combined model based on venous-phase contrast-enhanced CT radiomics and clinical and hematology indicators could relatively effectively evaluate ESCC LNM,which might bring some promotions in clinical benefit.