[摘 要] 目的：探讨异位表达血红蛋白亚基（HBA/HBB）对缺氧条件下嵌合抗原受体T细胞（CAR-T细胞）功能障碍的改善作用及其对肿瘤细胞的杀伤效应。方法：全基因合成技术合成靶向HER2的CAR序列，构建共表达HBA或HBB的CAR慢病毒载体，包装慢病毒后感染人原代T淋巴细胞，制备异位表达HBA/HBB的CAR-T细胞，命名为HBA CAR-T和HBB CAR-T。采用缺氧探针检测小鼠实体瘤缺氧状态。通过流式细胞术检测瘤内CAR-T细胞占比、异位表达血红蛋白亚基的CAR-T细胞阳性率及CAR-T细胞的活性氧、凋亡水平。WB法检测HBA CAR-T和HBB CAR-T内相关血红蛋白亚基表达情况，采用细胞计数板计数检测细胞增殖水平，通过萤光素酶报告基因法检测CAR-T细胞对肿瘤细胞的杀伤能力，qPCR检测CAR-T细胞中缺氧诱导因子-1α（HIF-1α）表达水平，利用MitoXpress Intra试剂盒检测CAR-T细胞内氧气含量。结果：不同细胞构建的实体瘤模型均存在明显缺氧情况，且CAR-T细胞浸润水平与缺氧程度呈显著负相关（P < 0.000 1）。HBA CAR-T与HBB CAR-T构建成功（阳性率 > 60%），相应血红蛋白亚基可稳定表达。缺氧环境下HBA CAR-T和HBB CAR-T的ROS水平、凋亡水平显著下降，增殖、对肿瘤细胞的体外杀伤能力显著强于传统CAR-T细胞（均P < 0.05）。HBA CAR-T与HBB CAR-T内HIF-1α表达降低（均P < 0.001），且缺氧程度显著降低（均P < 0.001）。结论：异位表达血红蛋白亚基可改善缺氧条件下CAR-T细胞功能障碍并增强其对肿瘤细胞的体外杀伤作用。

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Sustained inflammatory responses are closely related to various severe diseases, and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment. Natural products have garnered considerable concern for the treatment of inflammation. Huanglian-Wumei decoction (HLWMD) is a classic prescription used for treating inflammatory diseases, but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated. Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory, we successfully obtained berberine (BBR)-chlorogenic acid (CGA) supramolecular (BCS), which is an herbal pair from HLWMD. Using a series of characterization methods, we confirmed the self-assembly mechanism of BCS. BBR and CGA were self-assembled and stacked into amphiphilic spherical supramolecules in a 2:1 molar ratio, driven by electrostatic interactions, hydrophobic interactions, and π-π stacking; the hydrophilic fragments of CGA were outside, and the hydrophobic fragments of BBR were inside. This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules. Compared with free molecules, BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide (LPS)-induced pyroptosis. Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB (NF-κB) p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

OBJECTIVE: This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF. METHODS: Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus. RESULTS: LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response. CONCLUSION The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans ; China/epidemiology* ; Genome, Viral ; Lassa Fever/virology* ; Lassa virus/classification* ; Molecular Epidemiology ; Phylogeny

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Sustained inflammatory responses are closely related to various severe diseases,and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment.Natural products have garnered considerable concern for the treatment of inflammation.Huanglian-Wumei decoction(HLWMD)is a classic prescription used for treating inflammatory diseases,but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated.Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory,we successfully obtained berberine(BBR)-chlorogenic acid(CGA)supramolecular(BCS),which is an herbal pair from HLWMD.Using a series of characterization methods,we confirmed the self-assembly mechanism of BCS.BBR and CGA were self-assembled and stacked into amphiphilic spherical supra-molecules in a 2:1 molar ratio,driven by electrostatic interactions,hydrophobic interactions,and π-πstacking;the hydrophilic fragments of CGA were outside,and the hydrophobic fragments of BBR were inside.This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules.Compared with free molecules,BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide(LPS)-induced pyroptosis.Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB(NF-κB)p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective:To observe the improving effect of acupuncture and Tuina(Chinese therapeutic massage)combined with Ba Duan Jin(Eight-brocade Exercise)on motor function in patients with Parkinson disease(PD)in the early and middle stages.Methods:Seventy patients with early-or middle-stage PD were randomly divided into a control group and an observation group,with 35 patients in each group.The control group was given conventional treatment such as oral levodopa hydrochloride tablets;the observation group was treated with acupuncture,Tuina,and Ba Duan Jin in addition to the control group's treatment.Acupuncture and Tuina were administered twice a week,and Ba Duan Jin was performed five times a week.Each course of treatment lasted 4 weeks,and a total of 3 courses were completed.The changes in the unified Parkinson disease rating scale Ⅲ(UPDRS Ⅲ)score,Berg balance scale(BBS)score,15-meter walking speed,and 6-minute walk distance were compared between the two groups.Results:The total effective rate in the observation group was 93.6%,which was significantly higher than 45.7%in the control group(P<0.01).After 4,8,and 12 weeks of treatment,the UPDRS Ⅲ score in the observation group was significantly lower than the previous score(P<0.05);the BBS score was significantly higher than the previous score(P<0.05),and the 6-minute walk distance also significantly increased compared to the previous result(P<0.05).After 8 and 12 weeks of treatment,the 15-meter walking speed in the observation group was significantly higher than that before treatment and the previous measurement(P<0.05).In comparison with the control group,the observation group showed significantly lower UPDRS Ⅲ scores after 8 and 12 weeks of treatment(P<0.05).Additionally,after 4,8,and 12 weeks of treatment,the observation group had significantly higher BBS scores,15-meter walking speed,and the 6-minute walk distance than the control group(P<0.05).There were no significant differences in the above indicators before and after treatment in the control group(P>0.05).Conclusion:The addition of acupuncture,Tuina,and Ba Duan Jin to Western medication treatment can effectively improve motor function,balance ability,and walking ability in patients with early-or middle-stage PD.

Objective:To observe the improving effect of acupuncture and Tuina(Chinese therapeutic massage)combined with Ba Duan Jin(Eight-brocade Exercise)on motor function in patients with Parkinson disease(PD)in the early and middle stages.Methods:Seventy patients with early-or middle-stage PD were randomly divided into a control group and an observation group,with 35 patients in each group.The control group was given conventional treatment such as oral levodopa hydrochloride tablets;the observation group was treated with acupuncture,Tuina,and Ba Duan Jin in addition to the control group's treatment.Acupuncture and Tuina were administered twice a week,and Ba Duan Jin was performed five times a week.Each course of treatment lasted 4 weeks,and a total of 3 courses were completed.The changes in the unified Parkinson disease rating scale Ⅲ(UPDRS Ⅲ)score,Berg balance scale(BBS)score,15-meter walking speed,and 6-minute walk distance were compared between the two groups.Results:The total effective rate in the observation group was 93.6%,which was significantly higher than 45.7%in the control group(P<0.01).After 4,8,and 12 weeks of treatment,the UPDRS Ⅲ score in the observation group was significantly lower than the previous score(P<0.05);the BBS score was significantly higher than the previous score(P<0.05),and the 6-minute walk distance also significantly increased compared to the previous result(P<0.05).After 8 and 12 weeks of treatment,the 15-meter walking speed in the observation group was significantly higher than that before treatment and the previous measurement(P<0.05).In comparison with the control group,the observation group showed significantly lower UPDRS Ⅲ scores after 8 and 12 weeks of treatment(P<0.05).Additionally,after 4,8,and 12 weeks of treatment,the observation group had significantly higher BBS scores,15-meter walking speed,and the 6-minute walk distance than the control group(P<0.05).There were no significant differences in the above indicators before and after treatment in the control group(P>0.05).Conclusion:The addition of acupuncture,Tuina,and Ba Duan Jin to Western medication treatment can effectively improve motor function,balance ability,and walking ability in patients with early-or middle-stage PD.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective To investigate the predictive value of urinary exosomal microRNA(miR)-29 c in the clinical outcome of organ-and non-organ-confined bladder urothelial carcinoma(BUC).Methods From January 2017 to March 2022,152 patients with BUC were recruited from the Department of Urology in our hospital as a validation set.In addition,126 non-cancer controls were selected from the physical examination center of our hospital.The expression level of urinary exosomal miR-29c was detected by real-time quantitative PCR.Results In the validation set,urinary exosomal miR-29c level in BUC patients was significantly lower than that in non-cancer control group(P＜0.05),while urinary exosomal miR-17-5p level and miR-590-5p level were not significantly different(P＞0.05).The area under ROC curve of urinary exosomal miR-29c for the diagnosis of BUC was 0.969(95％CI:0.953～0.986),and the corresponding sensitivity and specificity were 92.1％and 90.2％,respectively.In subtype analysis,urinary exosomal miR-29c levels were further reduced in patients with non-organ-confined BUC compared with patients with organ-confined BUC(P=0.009).Overall survival(OS),disease-free survival(DFS)and disease-specific survival(DSS)were longer in the urinary exosomal miR-29c high expression group(P＜0.05).Conclusion Low levels of urinary exosomal miR-29c are an adverse prognostic factor for survival in patients with BUC,and are promising as a predictor of adverse clinical outcomes of organ-and non-organ-confined BUC.