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.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

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.

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 effect of dexmedetomidine(Dex)on the rat model of perioperative stroke and its mechanism.Methods One hundred male rats were randomly divided into sham group,middle cerebral artery occlusion(MCAO)group,low dose Dex[Dex-L,0.5 μg/(kg·h)]group,medium dose Dex[Dex-M,2 μg/(kg·h)]group,high dose Dex[Dex-H,10 μg/(kg·h)]group,20 rats in each group.A rat model of perioperative stroke was established by middle cerebral artery occlusion.Dex was injected intravenously at different doses during ischemia.After 24 h,the neurological function of the rats was evaluated.Then,the rats were sacrificed and the peripheral blood and whole brain tissue were collected,ischemic core area tissue was separated from some brain tissues and the cerebral infarction area was observed by TTC staining.The inflammatory cytokine contents in serum and ischemic core area were measured by ELISA.In addition,the expressions of formyl peptide receptor 1(FPR1),transmembrane protein 119(TMEM119),CD31 and VE-cadherin proteins were assayed by immunofluorescence,and the expressions of FPR1,nuclear factor-κB(NF-κB)and NLRP3 proteins by Western blotting in the ischemic core area.Results Compared with sham group,the proportion of cerebral infarction area and neurological scores in the MCAO group were significantly increased,and the contents of interleukin(IL)-1β,IL-6 and tumor necrosis factor(TNF)-α in the serum and the ischemic core area were significantly increased,the expressions of FPR1,TMEM119,p-NF-κB,NLRP3,CD31 and VE-cadherin in the ischemic core were significantly increased(P<0.001),and there was obvious co-expression of FPR1 and TMEM119.Compared with MCAO group,the proportion of cerebral infarction area and neurological scores in the Dex-M and Dex-H groups were significantly decreased,and the contents of IL-1β,IL-6 and TNF-α in serum and brain ischemic core area were significantly decreased,the expressions of FPR1,TMEM119,p-NF-κB,NLRP3,CD31 and VE-cadherin in the ischemic core were significantly decreased(P<0.001).Conclusions Dex can significantly alleviate perioperative stroke injury.The mechanism may be due to inhibiting the expression of FPR1 protein,activation of microglia cells and cerebral collateral circulation angiogenesis.