Acute liver failure (ALF) is lack of broadly approved therapeutic strategy except liver transplantation. As a glycogen metabolic intermediate, UDP-glucose (UDP-G) has been considered to accelerate liver repairment. Nevertheless, the role of UDP-G and its receptor P2Y purinoceptor 14 (P2Y₁₄R) in ALF remains unknown. The present study aims to investigate the role and underlying mechanisms of UDP-G/P2Y₁₄R axis in ALF. In this study, hepatic P2Y₁₄R is significantly increased in TAA-induced and partial hepatectomy-induced ALF, while knockout of whole-body P2Y₁₄R aggravates liver failure, manifested by inhibiting β-Catenin-mediated liver regeneration. Consistently, P2Y₁₄R deficiency exhibits impaired liver regeneration in mice suffer partial hepatectomy. Importantly, only hepatocellular specific deletion of P2Y₁₄R (P2Y₁₄R ^flox/flox Alb ^cre/+ ) mice shows a similar phenomenon, rather than stellate cell specific deletion of P2Y₁₄R (P2Y₁₄R ^flox/flox Lrat ^cre/+ ) mice. Mechanistically, P2Y₁₄R induction regulates methylation of Dact-2 through CREB/DNMT3b signals in hepatocytes, subsequently inhibiting the expression of Dact-2 which is a stabilizer of β-Catenin degradation complex, leading to the activation of β-Catenin -mediated liver regeneration. Interestingly, the administration of exogenous UDP-G can accelerate liver regeneration and liver function recovery after partial hepatectomy in hepatocellular carcinoma mice. Together, the findings propose an unrecognized role of P2Y₁₄R in ALF and provide an effective adjuvant strategy for treatment of ALF.

Objective: To map the research hotspots, developmental trends, and existing challenges in the integration of artificial intelligence (AI) with multi-omics in traditional Chinese medicine (TCM) through comprehensive bibliometric analysis. Methods: China National Knowledge Infrastructure (CNKI), Wanfang Data, China Science and Technology Journal Database (VIP), Chaoxing Journal Database, PubMed, and Web of Science were searched to collect literature on the theme of AI in TCM multi-omics research from the inception of each database to December 31, 2024. Eligible records were required to simultaneously address AI, TCM, and multi-omics. Quantitative and visual analyses of publication growth, core authorship networks, institutional collaboration patterns, and keyword co-occurrence were performed using Microsoft Excel 2021, NoteExpress v4.0.0, and Cite Space 6.3.R1. AI application modes in TCM multi-omics research were also categorized and summarized. Results: A total of 1 106 articles were enrolled (932 Chinese and 174 English). Publication output has increased continuously since 2010 and accelerated after 2016. Region-specific collaboration clusters were identified, dominated by Beijing University of Chinese Medicine, China Academy of Chinese Medical Sciences, Shanghai University of Traditional Chinese Medicine, and Nanjing University of Chinese Medicine. Keyword co-occurrence analysis revealed that current AI applications predominantly centered on metabolomics and algorithms such as cluster analysis and data mining. Research foci mainly ranked as follows: single herbs, herbal formulae, and disease-syndrome differentiation. Conclusion Machine learning methods are the predominant integrative modality of AI in the realm of TCM multi-omics research at present, utilized for processing omics data and uncovering latent patterns therein. The domain of TCM, in addition to investigating omics information procured through high-throughput technologies, also integrates data on traditional Chinese medicinal substances and clinical phenotypes, progressing towards joint analysis of multi-omics, high-dimensionality of data, and multi-modality of information. Deep learning approaches represent an emerging trend in the field.

[Purpose]To analyze the incidence and mortality of pancreatic cancer in 2020 and the change trend from 2010 to 2020 in cancer registration areas of Gansu Province.[Methods]The data of pancreatic cancer from 2010 to 2020 were collected from cancer registries in Gansu Province.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),0～74 years old cumulative rate and proportion of pancreatic cancer were calculated.Joinpoint 4.7.0 software was used to calculate the average annual percentage change(AAPC)of ASIRC/ASMRC of pancreatic cancer in cancer registration areas of Gansu Province from 2010 to 2020.[Results]In 2020,a total of 838 new cases of pancreatic cancer were reported in the cancer registration areas of Gansu Province,with a crude incidence rate of 6.52/105,ASIRC and ASIRW of 4.03/105 and 4.49/105 respectively,accounting for 2.50％of all malignant tumor incidence.In 2020,702 cases of pan-creatic cancer deaths were reported in the cancer registration areas of Gansu Province,with a crude mortality rate of 5.46/105,ASMRC and ASMRW of 3.25/105 and 3.73/105,respectively,ac-counting for 3.98％of all malignant tumor deaths.From 2010 to 2020,a total of 2 413 cases of pancreatic cancer were reported in cancer registration areas in Gansu Province,accounting for 1.90％of all malignant tumors in the province.The crude incidence rate of pancreatic cancer was 5.28/105,the ASIRC was 4.18/105,the ASIRW was 4.63/105,and the cumulative rate of 0～74 years old was 0.49％.From 2010 to 2020,a total of 1 871 pancreatic cancer deaths were reported in cancer registration areas of Gansu Province,accounting for 2.38％of all malignant tumor deaths in the province.The crude mortality rate was 3.92/105,the ASMRC was 3.09/105,the ASMRW was 3.50/105,and the cumulative rate of 0～74 years old was 0.36％.In terms of sex and region,the incidence and mortality of pancreatic cancer from 2010 to 2020 in men were higher than those in women,and higher in rural areas than those in urban areas.From 2010 to 2020,the incidence and mortality were at a low level under the age of 44 years old,and increased significantly after 45 years old,reaching a peak in the age group of 80～84 years old.ASIRC showed no significant change from 2010 to 2020 with an AAPC of 0.41 1％(P＞0.05).From 2010 to 2020,the ASMRC showed an significantly increasing trend with an AAPC of 6.515％(P=0.014).[Conclusion]From 2010 to 2020,the ASRIC of pancreatic cancer in Gansu Province showed no significant change,while the ASMRC showed a significantly in-creasing trend.The incidence and mortality rates were higher in men than those in women and higher in rural areas than those in urban areas.Middle-aged and elderly men in rural areas are the key groups of prevention and treatment of pancreatic cancer,so targeted prevention and control measures should be carried out.

Objective:To investigate the correlations between physical, psychological and social frailty in elderly patients with multimorbidity.Methods:This study utilized a mixed method. A questionnaire survey was conducted from February to June 2024, among elderly patients with multimorbidity attending 4 primary health care centers in urban Beijing selected by the convenience sampling method. The FRAIL Frailty Assessment Scale, WHO-5 Index of Well-Being Scale, and HALFT Scale were used to assess the patients′ physical, psychological, and social frailty, respectively. Spearman correlation analysis was used to analyze the correlation between different dimensions of frailty in elderly with multimorbidity. Logistic regression model was used to analyze the factors influencing physical, psychological and social frailty. The elderly with multimorbidity who were assessed to have at least 1 or more types of frailty in the quantitative study were selected for in-depth interviews in the form of online and offline combination. The topics of in-depth interview included the real experience of the different dimensions of frailty, the possible causes and the difficulties caused. The sample size was determined according to the principle of information saturation. Thematic analysis was used to summarize, code and analyze the interview data.Results:A total of 919 participants were included in the quantitative study, with a mean age of (74.09±6.03) years, 329(35.80%) were males and 590(64.20%) were females. The prevalence of physical, psychological, and social frailty was 17.85%(164/919), 21.44%(197/919), 11.21%(103/919), respectively. A total of 21 participants were included in the qualitative study, with a mean age (76.90±5.13)years, 5(23.81%) males and 16(76.19%) females. Spearman correlation analysis showed that physical and psychological frailty were moderately correlated ( r=0.311, P<0.001), psychological and social frailty were weakly correlated ( r=0.218, P<0.001), and physical and social frailty were weakly correlated ( r=0.267, P<0.001). Logistic regression analysis showed that the age, the number of multimorbidities, the psychological frailty and social frailty were the influencing factors for physical frailty (all P<0.05). The gender, number of multimorbidity, type of medication taken, physical frailty and social frailty were influencing factors of psychological frailty (all P<0.05). And age, number of multimorbidities, physical frailty and psychological frailty were influencing factors of social frailty (all P<0.05). A total of 3 themes were extracted through in-depth interviews, namely, "physical and psychological frailty are interrelated""physical and social frailty are interrelated", and "psychological and social frailty are interrelated". Conclusions:The physical, psychological, and social frailty in elderly patients with multimorbidity interacts with each other. Whereas the number of multimorbidities is a common risk factor for all three.

Objective:To analyze the current status, research hotspots, and development trends on the integration of primary care and prevention in China.Methods:This was a bibliometric analysis. Literature related to research on the integration of primary care and prevention in China was retrieved from CNIKI, Wanfang, VIP, Chinese Medical Journal Full Text Database, PubMed, and Web of Science for the period from January 1, 2015, to April 1, 2025. CiteSpace software was used to conduct a visual analysis of publication volume, authors and their collaborations, institutions, and keywords in the included literature.Results:A total of 292 domestic publications on the integration of primary healthcare and public health were analyzed. Research on primary healthcare-public health integration in China exhibited an overall upward trend from 2015 to 2025. Based on publication volume and temporal distribution, domestic research can be categorized into an exploratory phase (2015-2020) and a rapid development phase (2021-2025). The institutions publishing relevant research were predominantly universities and research centers, with a low institutional network density (0.013), indicating relative weak inter-institutional collaboration. The co-occurrence density among authors was 0.013 9. Collaboration predominantly occurred in small clusters, with limited cross-regional cooperation. Keywords that appeared frequently and had an intermediary centrality exceeding 0.1 included chronic diseases (0.40), public health (0.23),health management (0.18), and hypertension (0.17). Keyword clustering analysis showed that the top three categories mainly focused on public health, chronic diseases, and health management. Since 2024, emerging keywords with high burst intensity have included big data, health literacy, primary care hospitals, and infectious diseases.Conclusions:Research on the integration of medical and preventive care at the primary healthcare level in China has entered a stage of rapid development. Current research hotspots focus primarily on chronic disease management, the implementation status and barriers of primary healthcare and prevention integration models. Future research is expected to emphasize the application of intelligent technologies, and the enhancement of public health emergency response capacity.

Infectious diseases continue to pose a threat to global public health. Successive global shocks caused by emerging and re-emerging pathogens have continuously challenged existing surveillance systems, highlighting the urgent need to build efficient and precise pathogen surveillance networks. Pathogen genomic databases have been developed rapidly in recent two decades, significantly improving the molecular identification, evolutionary analysis, and transmission tracking of pathogens, and changing disease surveillance strategies and patterns. This paper summarizes the developmental history and current state of pathogen genomic databases, and discusses their applications in public health, including pathogen variation surveillance, emerging or suspected pathogen identification, and epidemiological tracing. Furthermore, this paper systematically analyzes the limitations and key challenges faced by current global health prevention and control system, and suggests the focus of the development of online pathogen databases to address existing shortcomings, ultimately improve global infectious disease surveillance and early warning

The paper reports a 32-year-old female acute myeloid leukemia patient who developed graft-versus-host disease after paternal hematopoietic stem cell transplantation, which subsequently led to renal thrombotic microangiopathy. She subsequently required a kidney transplant from the same donor 5 years later due to renal failure. Considering that both the bone marrow and kidney were from the same donor and the recovery of renal function was favorable, immunosuppressive therapy was discontinued after a short course of anti-rejection treatment, with maintained stable kidney function. This case suggests that under the condition of high chimerism, allogeneic hematopoietic stem cell transplantation and kidney transplantation from the same donor can achieve immune tolerance, potentially improving solid organ transplantation success rate. The findings provide a novel therapeutic approach for solid organ transplantation following allogeneic hematopoietic stem cell transplantation.

Cinnamomum cassia Presl belongs to the camphor family of evergreen trees,and its bark is used as a medicine.It contains volatile oils,polyphenols,polysaccharides,flavonoids,flavanols,and other chemical constituents that can inhibit the neuroinflammatory response,oxidative stress,and neuronal apoptosis,and provide neuroprotection,as well as improving cerebral ischemia-reperfusion.Progress in modern medicine has demonstrated that cinnamon has unique advantages in terms of the prevention and treatment of central nervous system diseases(CNSD),and cinnamon and its preparations have been widely used to treat neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease.The role of cinnamon for the treatment of CNSD has thus become a hot research topic;however,its mechanism of action in the nervous system has not been comprehensively outlined and summarized.This review therefore summarizes the progress in experimental research worldwide,regarding the use of cinnamon to treat CNSD,to provide an evidence base for clinical research and to develop the use of cinnamon.

Objective:To compare the accuracy of a Chinese large language model (LLM) and radiologists in Chinese middle level professional qualification examination of radiology, and evaluate the quality of answer reasoning provided by the Chinese LLM.Methods:In this study, 100 high-quality questions were selected using stratified random sampling to form a test set. We asked the ERNIE Bot by dialogues on the website to provide the correct answers and answer reasoning for these questions. These questions were also answered by 15 radiologists with different levels of experience. The accuracy of Chinese LLM and that of radiologists were compared. Two radiologists evaluated the quality of answer reasoning using a 5-point semi-quantitative scale.Results:The accuracy of ERNIE Bot was 60.00%, which was lower than the median (interquartile) accuracy of 67.00% (64.00%, 73.00%) for radiologists, and the difference was statistically significant ( W=2.47, P=0.013). The word count of the reasoning provided by Ernie Bot was (196.44±99.25) words, with no significant difference in word count between correct and incorrect answer reasoning, which were (211.03±107.53) words and (174.55±81.84) words, respectively ( t=1.82, P=0.072). Among the correct answers, the quality of reasoning was scored as follows: 1 point for 3 questions, 2 points for 9 questions, 3 points for 12 questions, and 4 points for 36 questions. No reasoning received a score of 5. Conclusions:Chinese LLM demonstrates a certain level of medical knowledge and clinical reasoning ability, which can assist clinical teachers in educational activities. However, it is not yet able to independently tutor residents and lacks the ability of invitational and heuristic teaching.

Human papillomavirus (HPV) can cause various tumors such as cervical cancer in women. Further study of HPV infection and its pathogenic mechanism, as well as the development of vaccines and anti-tumor drugs, have been hindered due to the strong host specificity and tissue affinity of HPV, along with the challenges in in vitro culture and the lack of animal infection models. To advance the study of HPV infection and its pathogenic mechanism and to development better prevention and treatment measures, it is important to establish an animal model that closely resembles the infection and pathogenesis pathways in humans. This article reviews previous research on HPV-related animal models using mice, rabbits, macaques, and Drosophila, including infectious models, tumor models, and transgenic models, aiming to provide reference for the selection of appropriate animal models for HPV-related research.