Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Coronary perforation is when a contrast agent or blood flows outside a blood vessel through a tear in a coronary artery.In this case,we reported a case of percutaneous coronary intervention for coronary calcified lesions,which led to iatrogenic coronary perforation and cardiac tamponade after the use of Shockwave balloon to treat intracoronary calcified nodules,and the management of PCI-related CAP was systematically reviewed through the literature.

Soluble programmed cell death 1 ligand 1(PD-L1)in the serum includes exosomal,mi-crovesical and secreted forms of PD-L1.Previous studies have shown that the level of exosomal PD-L1 in the serum significantly correlated with the prognosis of various cancers.However,current analysis detects all forms of PD-L1 in the serum as a whole,without distinguishing exosomal PD-L1 from other forms.In this study,a specific detection method for exosomal PD-L1 was established based on surface plasmon res-onance.This method first captures PD-L1 by antibody recognition and immobilizes it on the surface of the detection chip.Then,α-hemolysin was recruited to form multiple oligomers on the exosomal membrane.This method quantifies the content of exosomal PD-L1 by monitoring the signal change during the binding process of α-hemolysin,effectively reducing background noises and amplifying the signal.The linear range before signal amplification with α-hemolysin was 0.035-2.208 pg/mL,and after signal amplifica-tion,it was 0.004-0.552 pg/mL.Methodological validation showed that this method has good specifici-ty,sensitivity,and repeatability,and has certain clinical application prospects.

Objective:To investigate the expression and clinical significance of CD30 in patients with diffuse large B-cell lymphoma(DLBCL).Methods:A retrospective analysis was conducted on 124 cases of primary DLBCL diagnosed at Changzhou Second People's Hospital Affiliated with Nanjing Medical University from January 2018 to July 2020.The expression of CD30 in patients with DLBCL was detected by immunohistochemical method,and the clinicopathological characteristics were analyzed and compared between CD30+and CD30-groups.Kaplan-Meier analysis was used for survival analysis.The relationship between CD30 expression and clinical features and prognosis were analyzed.Results:Among the 124 patients with DLBCL,19 patients expressed CD30,and the positive rate is 15.32％.The clinico-pathological characteristics of CD30+in patients with DLBCL were characterized by low age,more common in males,fewer extranodal lesions,lower international prognostic index(IPI),GCB type being more common in Hans subtype,and achieving better therapeutic effects(P＜0.05).However,there were no significant statistical differences in B-symptoms(P=0.323),Ann Arbor staging(P=0.197),Eastern Cooperative Oncology Group(ECOG)score(P=0.479),lactate dehydrogenase(LDH)(P=0.477),and the involvement of bone marrow(P=0.222).There were significant differences in OS and PFS between the CD30+and CD30-groups(x2=5.653,P=0.017;x2=4.109,P=0.043),the CD30+group had a better prognosis than that of the CD30-group.The results of subgroup analysis showed that the CD30+group in the IPI score=1-2,LDH elevated group had a better prognosis(P＜0.05).In the subgroups of Ann Arbor staging Ⅲ-Ⅳ(P=0.055)and non GCB type(P=0.053),the CD30+group had a good prognosis trend,but the difference was not statistically significant.The results of univariate analysis showed that the good prognosis of DLBCL patients was closely related to CD30+expression,no B-symptoms,early Ann Arbor staging,low ECOG score,normal LDH,low IPI score,fewer extranodal involvement,and obtaining the best therapeutic effect as CR(all P＜0.05).COX multivariate regression analysis showed that the presence of B-symptoms and achieving the best therapeutic effect as Non-CR were independent risk factors affecting the prognosis of DLBCL patients(P＜0.05).Conclusion:The CD30+expression in DLBCL patients indicates a good prognosis and has certain diagnostic value in evaluating the prognosis of DLBCL patients.

Objective:To evaluate the role of histogram analysis based on amide proton transfer weighted (APTw) and apparent diffusion coefficient (ADC) imaging in predicting alpha-thalassemia/mental retardation syndrome X-linked ( ATRX) mutation in isocitrate dehydrogenase ( IDH)-mutant WHO grading 2/3 gliomas. Methods:Seventy-eight patients with IDH-mutant WHO grading 2/3 gliomas, admitted to and confirmed by surgical pathology in Department of Functional Neurosurgery, Neurosurgery Center, Zhujiang Hospital, Southern Medical University from June 2017 to October 2023, including 52 with ATRX wild and 26 with ATRX mutant-type, were selected. Preoperative 3D-APTw and ADC imaging data were collected; after post-processing, the lesions were segmented using lesion outlining method based on inclusion of peri-tumor edema and lesion outlining method based on tumor entity, respectively; after that, the histogram features (the 10 th percentile, 90 th percentile, maximum, mean, median, minimum, skewness, kurtosis, entropy, range, uniformity, and variance) were extracted from 3D-APTw and ADC imaging, respectively. Univariate Logistic regression was used to compare the differences in histogram features between patients in the ATRX mutant group and ATRX wild-type group, and multivariate Logistic regression was used to screen the independent predictors for ATRX mutation (a Logistic regression prediction model was constructed). Predictive values of independent predictors and Logistic regression prediction models in ATRX mutation were evaluated by receiver operating characteristic (ROC) curve. Results:(1) With lesion outlining method based on inclusion of peri-tumor edema, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw minimum, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity, and ADC entropy ( P<0.05). With lesion outlining method based on tumor entity, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw 90 th percentile, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity and ADC entropy ( P<0.05). (2) With lesion outlining method based on inclusion of peri-tumor edema, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were the independent predictor for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.168, 95% CI: 0.034-0.800, P=0.025; OR=0.508, 95% CI: 0.319-0.807, P=0.004). The constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.827-1.785×3D-APTw skewness-0.678×ADC kurtosis). With lesion outlining method based on tumor entity, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were independent predictors for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.164, 95% CI: 0.034-0.791, P=0.024; OR=0.496, 95% CI: 0.312-0.788, P=0.003); the constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.585-1.810×3D-APTw skewness-0.702×ADC kurtosis). (3) ROC curve analysis showed that, with lesion outlining method based on inclusion of peri-tumor edema, area under ROC curve (AUC) of 3D-APTw skewness and ADC kurtosis was 0.725 (95% CI: 0.608-0.842, P=0.001) and 0.794 (95% CI: 0.685-0.904), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.836 (95% CI: 0.729-0.942, P<0.001), and its sensitivity and specificity were 73.10% and 90.40% when the best threshold was 0.505. ROC curve showed that, with lesion outlining method based on tumor entity, AUC of 3D-APTw skewness and ADC kurtosis was 0.705 (95% CI: 0.587-0.823, P=0.003) and 0.808 (95% CI: 0.704-0.913), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.844 (95% CI: 0.739-0.949, P<0.001), and its sensitivity and specificity were 84.60% and 80.80% when the best threshold was 0.399. Conclusion:Histogram analysis based on 3D-APTw and ADC imaging can predict ATRX mutation in IDH mutant WHO grading 2/3 gliomas to a certain extent.

Objective To investigate the effect and molecular mechanism of tRF-1:30-Gln-CTG-4(tRF-1:30)on the expression of inflammatory factors in high glucose(HG)-induced renal tubular epithelial cells(RTECs).Methods RTECs were divided into the control group,the HG group,the HG+tRF-1:30 mimic group,the HG+tRF-1:30 negative control(NC)group,the HG+si-IKZF2 group and the HG+si-NC group.Real-time quantitative polymerase chain reaction(RT-qPCR)was used to detect the expression levels of tRF-1:30,tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),monocyte chemoattractant protein-1(MCP-1)and IKAROS family zinc finger protein 2(IKZF2).Enzyme-linked immunosorbent assay(ELISA)was used to detect levels of TNF-α,IL-6 and MCP-1.Protein expression of IKZF2 was detected by Western blot assay.Dual-luciferase reporter assay was used to detect the targeting relationship between tRF-1:30 and IKZF2.Results The expression levels of inflammatory factors were elevated in HG-induced RTECs,and the expression level of tRF-1:30 was decreased(P＜0.05).Overexpression of tRF-1:30 significantly decreased expression levels of inflammatory factors in HG-induced RTECs(P＜0.05),and the expression level of IKZF2 was significantly increased(P＜0.05).Further knockdown of IKZF2 can inhibit the release of inflammatory factors,and the expression level of IKZF2 was down-regulated after overexpression of tRF-1:30.Double luciferase reporting experiment further verified the possible targeting relationship between tRF-1:30 and IKZF2.Conclusion Overexpression of tRF-1:30 inhibits the expression of inflammatory factors in HG-induced RTECs by target binding and negatively regulating the expression of IKZF2.

Objective To investigate the role of TLR4/NF-κB signaling pathway in mediating sleep depriva-tion induced endolymphatic hydrops.Methods A total of 30 healthy sprague-dawley(SD)rats were randomly di-vided into the control group、big platform control group,and 2 w,3 w,4 w sleep deprivation group,with 6 rats in each group.Modified multiple platform method was adopted to establish the rat sleep deprivation model.Before and after the experiment,the open field and acoustic brain-stem response(ABR)was conducted to evaluate the behavior and hearing level.After ABR test,blood samples were collected from abdominal aorta,and serum levels of TNF-αand MCP-1 were detected by ELISA.The cochlea was dissected,the severity of endolymphatic hydrops was as-sessed by calculating the ratio of the cross sectional area of the membranous cochlear duct(SM)to that of the mem-branous cochlear duct+scale vestibuli(SM+SV).Positive expression of IL-1β,TNF-α,MCP-1,TLR4,NF-κB P65 in rat cochlear tissues was detected via immunohistochemical staining.After the experiment,the changes of hearing level,the severity of endolymphatic hydrops and TLR4/NF-κB signaling pathway related proteins and down-stream inflammatory factors expression level were observed.The correlation between TLR4/NF-κB signaling path-way and hearing level and endolymphatic hydropsin rats was analyzed.Results ABR results showed an increased threshold of wave Ⅱ in the sleep deprivation group compared to those of the control group and big platform control group(P＜0.05).The rate of hydrops was 0％in control and big platform control groups,16.67％in 2w sleep deprivation group and 25％in 3 w and 4 w sleep deprivation group.The concentrations of TNF-αand MCP-1 in ser-um of rats in sleep deprivation groups were higher than those in control and big platform control groups,and the 4w sleep deprivation group were statistically significant compared with control and big platform control groups.The ex-pressions of IL-1β,TNF-α,MCP-1,TLR4 and NF-κB P65 in the cochlear spiral ganglion,spiral canal,stria vascu-laris and spiral ligament of rats in sleep deprivation groups were higher than those in control and big platform control groups.Conclusion Sleep deprivation may induce endolymphatic hydrops by the TLR4/NF-κB signaling pathway.