ObjectiveTo investigate the present situation of input, output, outcome and impact of all registered community-based rehabilitation stations in Inner Mongolia in China, and analyze how the input predict the output, outcome and impact. MethodsFrom March 1st to April 30th, 2025, a questionnaire survey was conducted on all registered community-based rehabilitation stations in Inner Mongolia, covering four dimensions: input, output, outcome and impact. A total of 1 365 questionnaires were distributed. The input included four items: laws and policies, human resources, equipment and facilities, and rehabilitation information management. The output included two items: technical paths and benefits/effectiveness. The outcome included three items: coverage rates, rehabilitation interventions and functional results. The impact included two items: health and sustainability. Each item contained several questions, all of which were described in a positive way. Each question was scored from one to five. A lower score indicated that the situation of the community-based rehabilitation station was more in line with the content described in the question. Regression analysis was performed using the total score of each item of input dimension as independent variables, and the total scores of the output, outcome and impact dimensions as dependent variables. ResultsA total of 1 262 valid questionnaires were collected. The mean values of input, output, outcome and impact of community-based rehabilitation stations were 1.827 to 1.904, with coefficient of variation of 45.892% to 49.239%. The regression analysis showed that, rehabilitation information management, human resources, and laws and policies significantly predicted the output dimension (R² = 0.910, P < 0.001). Meanwhile, all four items in the input dimension predicted both the outcome (R² = 0.850, P < 0.001) and impact dimensions (R² = 0.833, P < 0.001). ConclusionInput, output, outcome and impact of the community-based rehabilitation stations in Inner Mongolia were generally in line with the content of the questions, although some imbalances were observed. Additionally, the input of community-based rehabilitation stations could significantly predict their output, outcome and impact.

Ethical review represents the core of the scientific and technological ethical governance， and its quality depends on the participation of ethics. The absence of ethics and ethical experts will compromise the quality of the review. According to the spirit of the Guidelines on Strengthening the Governance over Ethics in Science and Technology， this paper analyzed the process of separating scientific and technological ethics from the field of scientific research morality， clarified the ethical attributes of ethical review， and argued that scientific research and technological innovation activities originated from ethics. On this basis， the fundamental principle of “ethics first” was proposed， aiming to proactively embed ethical considerations throughout the entire process of scientific and technological activities. This principle was the primary requirement for ensuring governance effectiveness and can also eliminate the risk of ethics being obscured in ethical governance. In practice， “ethics first” manifested specifically in dimensions such as prioritizing academic systems， prioritizing publicity， education， and training， as well as further advancing ethical considerations.

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.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

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.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.

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.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

ObjectiveTo investigate whether there are differences in the efficacy of Gegen Qinliantang with different contents of Puerariae Lobatae Radix on the acute enteritis （AE） model mice and provide a scientific basis for the interpretation of Gegen Qinliantang in the treatment of "Xie Re Li". MethodsA total of 112 male BALB/c mice were randomly divided into a blank group，model group，single Puerariae Lobatae Radix group，non-Puerariae Lobatae Radix group，regular dose Gegen Qinliantang group （regular dose group），half-dose Puerariae Lobatae Radix group，and doubled-dose Puerariae Lobatae Radix group， with 16 mice in each group. Hematoxylin-eosin （HE） staining was used to observe the pathological changes of the colon tissue. Western blot was employed to detect the expression of ZO-1 （a protein in the tight junction） and Occludin in the colon tissue， as well as the changes of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. ResultsCompared with the blank group，the DAI scores of the mice in the model group were significantly higher （P<0.05），and the histopathological sections of their colon tissues showed mucosal damage，glandular atrophy，disordered arrangement，and a large number of inflammatory cells infiltration，and the expression of ZO-1 and Occludin proteins in their colon tissues was significantly down-regulated （P<0.05，P<0.01）. The expression of inflammatory factors TNF-α and IL-1β was significantly up-regulated （P<0.05，P<0.01）. Compared with the model group，the DAI scores of mice in all dosing groups decreased significantly （P<0.05），with the most significant effect in the regular dose group. After 7 d of drug administration，the regular dose group had the best impact on the repair of colonic mucosa in the AE mouse model. The regular dose group significantly down-regulated the expression of TNF-α （P<0.05） and significantly up-regulated the expression of ZO-1 protein （P<0.05）. The doubled-dose Puerariae Lobatae Radix group significantly down-regulated the expression of IL-1β protein （P<0.01），and there was no significant difference between all dosing groups and the model group in terms of the expression of Occludin protein. After 14 d of drug administration，the best effect on the repair of colonic mucosa in the AE mouse model was observed in the doubled dose Puerariae Lobatae Radix group. All groups except the non-Puerariae Lobatae Radix group significantly down-regulated the expression of TNF-α （P<0.01）. Meanwhile，the regular dose group and doubled-dose Puerariae Lobatae Radix group significantly elevated the expression level of Occludin protein （P<0.01）. The doubled-dose Puerariae Lobatae Radix group also significantly inhibited the expression of IL-1β protein （P<0.05） and up-regulated ZO-1 protein expression （P<0.05）. ConclusionGegen Qinliantang can reduce the pathological damage of colon tissue， protect the barrier function and structure of intestinal epithelial cells， and reduce the expression of inflammatory factors， so as to achieve the therapeutic effect of AE model mice. When comparing the therapeutic efficacy of Gegen Qinliantang containing different Gegen contents， Gegen Qinliantang with the proportion of the original formula of Zhongjing was the most effective in AE model mice.