Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

End-stage liver disease (ESLD) covers the end-stage of acute and chronic liver diseases, mainly involving decompensated cirrhosis, various types of liver failure, and advanced liver cancer. Hepatocyte transplantation has shown promise in treating ESLD, but its clinical application is hampered by the shortage of donor hepatocytes. Cell therapy, an emerging effective treatment for ESLD, faces the same limitation due to scarce hepatocyte availability. Hepatocyte-like cells (HLCs), which are terminally differentiated cells, can be induced from both stem cells and somatic cells. As HLCs exhibit the morphology and function of primary hepatocytes, they offer a promising supplementary source of hepatocytes for cell therapy. First, we provide a background for the differentiation and maturation of primary hepatocytes. Subsequently, based on the current insights into the molecular pathways that regulate hepatocyte differentiation in vivo, we describe a strategy for establishing HLC derived from either stem cells or somatic cells. The key characteristics of these HLCs are also detailed. Furthermore, HLC offers therapeutic potential for liver failure, and HLC-based liver organoids and bioartificial liver systems have demonstrated the ability to provide liver functions, offering an innovative approach to treating various types of ESLD. Despite their promise, challenges such as efficiency in differentiation and functional maturation need to be addressed to improve the clinical application of HLCs. This review discusses these advancements and outlines the therapeutic potential and current challenges of HLC therapy for ESLD.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Since the outbreak of novel coronavirus pneumonia(COVID-19)in December 2019,SARS-CoV-2,which is constantly mutating,has brought unprecedented challenges to the field of solid organ transplantation.However,kidney transplant recipients(KTRs)are at high risk of developing severe disease after SARS-CoV-2 infection due to years of immunosuppressants and a variety of complications.This article aims to review the latest diagnosis and treatment progress of kidney transplantation under the current new epidemiological background,so as to provide reference for the subsequent management of KTRs under the new epidemiological background.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Since the outbreak of novel coronavirus pneumonia(COVID-19)in December 2019,SARS-CoV-2,which is constantly mutating,has brought unprecedented challenges to the field of solid organ transplantation.However,kidney transplant recipients(KTRs)are at high risk of developing severe disease after SARS-CoV-2 infection due to years of immunosuppressants and a variety of complications.This article aims to review the latest diagnosis and treatment progress of kidney transplantation under the current new epidemiological background,so as to provide reference for the subsequent management of KTRs under the new epidemiological background.

Sepsis is a systemic inflammatory response triggered by infection and often leads to acute kidney injury(AKI).The pathogenesis of sepsis-associated AKI is complex,involving multiple factors such as renal ischemia,inflammation and oxidative stress.In recent years,pyroptosis,a pro-inflammatory form of programmed cell death,has gradually attracted the attention of researchers.Pyroptosis is activated by inflammasomes(e.g.,the NOD-like receptor pyrin domain-related protein 3 inflammasome,NLRP3 inflammasome),accompanied by Gas-dermin D(GSDMD)-mediated formation of cell membrane pores and release of cellular contents,which leads to exacerbation of local and systemic inflammatory responses.The mechanism of pyroptosis in sepsis-associated AKI has not been fully elucidated,but AKI is directly involved in the process of renal functional impairment by indu-cing the death of renal tubular epithelial cells and exacerbating the local inflammatory response.Blockade of key molecules in the pyroptosis pathway,such as GSDMD or NLRP3 inflammasome,can significantly alleviate renal injury,suggesting that the pyroptosis pathway may be a potential therapeutic target for sepsis-associated AKI.This review summarizes the recent research progress on pyroptosis in sepsis-associated AKI,and discuss its cen-tral role in the pathogenesis,particularly focusing on the inflammasome and GSDMD pathways.Additionally,this paper analyzes the potential of focal death inhibition as a therapeutic strategy and proposes future research direc-tions with the expectation of providing references for the treatment of sepsis-related AKI.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."