Objective:To explore the radiation protection awareness of pediatric CT chaperones and the guidance effects under different scenario modes.Methods:This study investigated 491 pediatric CT chaperones aged 24 to 63 who were treated in the Guangzhou Women and Children′s Medical Center from October 2023 to January 2024. These pediatric CT chaperones were guided to wear lead protective equipment, including a lead apron, neck shield, and cap, in the order of the self-pickup mode, single voice-sign language prompt mode, and multiple voice-sign language prompt mode. They were assigned 0.5 to 3 points/piece for each wearing, and their scoring result under different guidance modes were recorded. Moreover, the relationship of the scoring result with the age, gender, education, residence, and accompanying frequency was statistically analyzed.Results:In the self-pickup mode, the wearing accuracy rates of three kinds of protective equipment decreased in the order of the lead apron (31.57%, 155/491), lead cap (23.01%, 113/491), and lead neck shield (16.29%, 80/491). The number of pediatric CT chaperones wearing three kinds of protective equipment properly in the self-pickup mode represented 15.48% (76/491), including two first-time chaperones (2.63%, 2/76) and 74 chaperones experiencing two or more accompanying examinations (97.37%, 74/76). In the single prompt mode, the wearing accuracy rates of three kinds of protective equipment decreased in the order of the lead cap (71.89%, 353/491), lead apron (65.99%, 324/491), and lead neck shield (60.08%, 295/491). The proportion of accurate wearing of three kinds of protective equipment in the single prompt mode was 45.82% (225/491). In the multi-prompt mode, the wearing accuracy rates of three kinds of protective equipment decreased in the order of the lead neck shield (23.63%, 116/491), lead cap (5.09%, 25/491), and lead apron (2.44%, 12/491). Among all the pediatric CT chaperones, 38.70% (190/491) completed the accurate wearing of the three kinds of protective equipment until the multi-prompt mode.Conclusions:Pediatric CT chaperones typically show poor radiation protection awareness, necessitating the guidance of standardized voice-sign language prompts.

As an important support for hospital operations,hospital logistic maintenance services suffer from pain points such as low efficiency and passive maintenance.The fundamental reason is the lack of a closed-loop mechanism.Based on the closed-loop theory and combined with mathematical modeling,this paper constructs a quality control system for logistic mainte-nance services and proposes a four-stage management process:In the planning stage,optimization goals and constraints are clari-fied.In the design stage,a comprehensive optimization model is established to minimize response time deviation and total mainte-nance costs while maximizing the one-time repair rate.In the execution stage,a maintenance task allocation matrix is generated based on the model solution to optimize resource scheduling.In the inspection stage,RTD,FFR,and QMS are introduced to quantitatively evaluate service performance.In the improvement stage,problem feedback is addressed,and model parameters are adjusted to form a closed loop.Hospital A is used as a practical case study,and the application effect of the quality control sys-tem is verified through analysis of its maintenance data.The quality control system has significant effects on optimizing the re-sponse efficiency,stability,and resource utilization of logistic maintenance services,providing a practical reference for other medical institutions.

Background and Aims:Intrahepatic cholangiocarcinoma(ICC)is a highly malignant liver tumor,with an increasing incidence worldwide,particularly in Asia.Although radical surgical resection is currently the only potentially curative treatment,the high recurrence rate and low postoperative overall survival(OS)rate of ICC remain major clinical challenges.Adjuvant therapy(AT)and neoadjuvant therapy(NAT)are important strategies to reduce postoperative recurrence and prolong OS.Several studies have shown certain efficacy of these treatments.However,the specific efficacy and safety of combined NAT and AT in ICC treatment require further validation.This study was conducted to evaluate the value of combining NAT and AT in improving the therapeutic outcomes of ICC patients through a multicenter retrospective analysis,so as to provide scientific evidence for optimizing treatment strategies.Methods:The clinicopathologic data of 576 patients with ICC who underwent radical resection and were pathologically confirmed from 13 hospitals in China between December 2011 and December 2017 were retrospectively collected.Patients were grouped based on their treatment modality:NAT+AT group,AT group,and non-NAT/AT group.The three patient groups were matched pairwise in a 1∶1 ratio using propensity score matching(PSM)to balance baseline data.The Kaplan-Meier method was used to analyze OS and disease-free survival(DFS),and subgroup analyses were conducted according to the 8th edition of the AJCC TNM staging system.Results:A total of 395 ICC patients were included in the final analysis,with 42 patients(10.6%)in the NAT+AT group,62 patients(15.7%)in the AT group,and 291 patients(73.7%)in the non-NAT/AT group.Before PSM,significant differences were observed between groups in terms of CA19-9,liver function Child-Pugh classification,intraoperative blood loss,surgical margin,differentiation grade,vascular invasion,ECOG score,and lymph node dissection ratio(all P<0.05).After PSM,there were no significant differences in baseline characteristics between the groups(all P>0.05).After matching,the median OS and DFS in the NAT+AT group were significantly better than in the AT and non-NAT/AT groups(both P<0.05),while there were no significant differences in OS and DFS between the AT and non-NAT/AT groups(both P>0.05).Subgroup analysis showed that in TNM stage I patients,DFS in the NAT+AT group was significantly better than in the non-NAT/AT group(P<0.05),but OS was not significantly different(P>0.05).In TNM stage Ⅱ and Ⅲ patients,both OS and DFS in the NAT+AT and AT groups were significantly better than in the non-NAT/AT group(both P<0.05),and DFS in the NAT+AT group was significantly better than in the AT group in TNM stage Ⅲ patients(P<0.05).Conclusion:NAT combined with AT provides better survival benefits for patients with locally advanced ICC,but its benefit for early-stage ICC patients is limited.However,the retrospective design and sample size limitations of this study may affect the stability of the results,and future large-sample,multicenter,prospective studies are needed for further validation.

Background and Aims:Intrahepatic cholangiocarcinoma(ICC)is a highly malignant liver tumor,with an increasing incidence worldwide,particularly in Asia.Although radical surgical resection is currently the only potentially curative treatment,the high recurrence rate and low postoperative overall survival(OS)rate of ICC remain major clinical challenges.Adjuvant therapy(AT)and neoadjuvant therapy(NAT)are important strategies to reduce postoperative recurrence and prolong OS.Several studies have shown certain efficacy of these treatments.However,the specific efficacy and safety of combined NAT and AT in ICC treatment require further validation.This study was conducted to evaluate the value of combining NAT and AT in improving the therapeutic outcomes of ICC patients through a multicenter retrospective analysis,so as to provide scientific evidence for optimizing treatment strategies.Methods:The clinicopathologic data of 576 patients with ICC who underwent radical resection and were pathologically confirmed from 13 hospitals in China between December 2011 and December 2017 were retrospectively collected.Patients were grouped based on their treatment modality:NAT+AT group,AT group,and non-NAT/AT group.The three patient groups were matched pairwise in a 1∶1 ratio using propensity score matching(PSM)to balance baseline data.The Kaplan-Meier method was used to analyze OS and disease-free survival(DFS),and subgroup analyses were conducted according to the 8th edition of the AJCC TNM staging system.Results:A total of 395 ICC patients were included in the final analysis,with 42 patients(10.6%)in the NAT+AT group,62 patients(15.7%)in the AT group,and 291 patients(73.7%)in the non-NAT/AT group.Before PSM,significant differences were observed between groups in terms of CA19-9,liver function Child-Pugh classification,intraoperative blood loss,surgical margin,differentiation grade,vascular invasion,ECOG score,and lymph node dissection ratio(all P<0.05).After PSM,there were no significant differences in baseline characteristics between the groups(all P>0.05).After matching,the median OS and DFS in the NAT+AT group were significantly better than in the AT and non-NAT/AT groups(both P<0.05),while there were no significant differences in OS and DFS between the AT and non-NAT/AT groups(both P>0.05).Subgroup analysis showed that in TNM stage I patients,DFS in the NAT+AT group was significantly better than in the non-NAT/AT group(P<0.05),but OS was not significantly different(P>0.05).In TNM stage Ⅱ and Ⅲ patients,both OS and DFS in the NAT+AT and AT groups were significantly better than in the non-NAT/AT group(both P<0.05),and DFS in the NAT+AT group was significantly better than in the AT group in TNM stage Ⅲ patients(P<0.05).Conclusion:NAT combined with AT provides better survival benefits for patients with locally advanced ICC,but its benefit for early-stage ICC patients is limited.However,the retrospective design and sample size limitations of this study may affect the stability of the results,and future large-sample,multicenter,prospective studies are needed for further validation.

Objective To retrospectively analyze multicenter data from domestic sources, aiming to explore the link between intrahepatic cholangiocarcinoma (ICC) tumor size and prognosis, establishing a classification system based on tumor size. Methods Between December 2011 and September 2018, 280 ICC patients from 13 hospitals were included. The tumor size prognosis cutoff was identified by the minimum P-value method, and the classification's overall survival related effectiveness was assessed by Kaplan-Meier analysis. Results All 280 patients were divided into the group of tumor maximum diameter ≤4 cm and >4 cm. Tumor size was confirmed as an independent prognosis factor by multivariate COX regression analysis (HR=2.110, 95% CI: 1.358-3.280). Conclusions The tumor size dichotomy classification system based on the Chinese patient group can expediently predict ICC prognosis and offers an important basis for selecting post-operative individualized adjuvant therapy and follow up plans.

Objective:To investigate the expressions of cystathionine-β-synthase(CBS)and cystathionine-γ-lyase(CSE)and their effects on the malignant biological behaviours of breast cancer cells,and to elucidate their mechanisms.Methods:The breast cancer tissue and paracancerous normal tissue from 15 cases of patients were selected,and RT-qPCR and Western blotting methods were used to detect the mRNA and protein expression levels of CBS and CSE in breast cancer tissue,paracancerous normal tissue,MCF-7 cells,and MDA-MB-231 cells.The MCF-7 cells were divided into siNC group(transfected with siNC)and siCBS group(transfected with siCBS),and the MDA-MB-231 cells were divided into ovNC group(transfected with CSE over-expression empty plasmid)and ovCSE group(transfected with CSE over-expression plasmid).CCK8 assay was used to detect the proliferation activities of breast cancer cells in various groups,Transwell assay was used to detect the numbers of migration and invasion cells in various groups,and Western blotting method was used to detect the protein expression levels of E-cadherin,N-cadherin and Vimentin proteins in the breast cancer cells in various groups.Results:Compared with paracancerous normal tissue,the expression levels of CBS and CSE mRNA and proteins in breast cancer tissue were increased(P＜0.05 or P＜0.01).Compared with MDA-MB-231 cells,the CBS mRNA expression level in the MCF-7 cells was increased(P＜0.05);compared with MCF-7 cells,the expression level of CSE protein in the MDA-MB-231 cells was decreased(P＜0.05).Compared with siNC group,the proliferation activity,the numbers of migration and invasion cells,the expression levels of N-cadherin and Vimentin proteins in the MCF-7 cells in siCBS group were significantly decreased(P＜0.05),and the expression level of E-cadherin protein was increased(P＜0.05).Compared with ovNC group,the proliferation activity,the numbers of migratoin and invasion cells,and the expression levels of N-cadherin and Vimentin proteins in the MDA-MB-231 cells in ovCSE group were increased(P＜0.05),while the expression level of E-cadherin protein was significantly decreased(P＜0.05).Conclusion:The expressions of CBS and CSE are upregulated in breast cancer tissue,and high levels of CBS and CSE promote proliferation,migration,invasion and epithelial-mesenchymal transition(EMT)of breast cancer cells.

Radiation-induced thrombocytopenia(RIT)faces a perplexing challenge in the clinical treatment of cancer patients,and current therapeutic approaches are inadequate in the clinical settings.In this research,oxy-matrine,a new molecule capable of healing RIT was screened out,and the underlying regulatory mecha-nism associated with magakaryocyte(MK)differentiation and thrombopoiesis was demonstrated.The capacity of oxymatrine to induce MK differentiation was verified in K-562 and Meg-01 cells in vitro.The ability to induce thrombopoiesis was subsequently demonstrated in Tg(cd41:enhanced green fluorescent protein(eGFP))zebrafish and RIT model mice.In addition,we carried out network pharmacological pre-diction,drug affinity responsive target stability assay(DARTS)and cellular thermal shift assay(CETSA)analyses to explore the potential targets of oxymatrine.Moreover,the pathway underlying the effects of oxymatrine was determined by Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,Western blot(WB),and immunofluorescence.Oxymatrine markedly promoted MK differentiation and maturation in vitro.Moreover,oxymatrine induced thrombopoiesis in Tg(cd41:eGFP)zebrafish and accelerated thrombopoiesis and platelet function recovery in RIT model mice.Mechanistically,oxymatrine directly binds to toll-like receptor 2(TLR2)and further regulates the downstream pathway stimulator of interferon genes(STING)/nuclear factor-kappaB(NF-κB),which can be blocked by C29 and C-176,which are specific inhibitors of TLR2 and STING,respectively.Taken together,we demonstrated that oxymatrine,a novel TLR2 agonist,plays a critical role in accelerating MK differentiation and thrombopoiesis via the STING/NF-κB axis,suggesting that oxymatrine is a promising candidate for RIT therapy.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

eIF3a is a N ⁶-methyladenosine (m⁶A) reader that regulates mRNA translation by recognizing m⁶A modifications of these mRNAs. It has been suggested that eIF3a may play an important role in regulating translation initiation via m⁶A during infection when canonical cap-dependent initiation is inhibited. However, the death of animal model studies impedes our understanding of the functional significance of eIF3a in immunity and regulation in vivo. In this study, we investigated the in vivo function of eIF3a using eIF3a knockout and knockdown mouse models and found that eIF3a deficiency resulted in splenic tissue structural disruption and multi-organ damage, which contributed to severe sepsis induced by Lipopolysaccharide (LPS). Ectopic eIF3a overexpression in the eIF3a knockdown mice rescued mice from LPS-induced severe sepsis. We further showed that eIF3a maintains a functional and healthy immune system by regulating B cell function and quantity through m⁶A modification of mRNAs. These findings unveil a novel mechanism underlying sepsis, implicating the pivotal role of B cells in this complex disease process regulated by eIF3a. Furthermore, eIF3a may be used to develop a potential strategy for treating sepsis.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.