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.

The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases.

Objective To analyze the predictive value of microRNA-34a-5p(miR-34a-5p)expression in pancreatic cancer tissue on postoperative poor prognosis.Methods The surgically resected pancreatic cancer tissues and normal tissues adjacent to cancer from 123 patients with pancreatic cancer were collected to detect the expression of miR-34a-5p.The expression of miR-34a-5p in pancreatic cancer tissues for patients with different clinicopathological characteristics were compared.The patients were divided into the poor prognosis group and the good prognosis group according to their prognosis,and the clinical data of patients between the two groups was compared.The risk factors of poor prognosis for patients with pancreatic cancer were analyzed by Cox regression model,and the predictive value of miR-34a-5p expression in pancreatic cancer tissues on poor prognosis of patients was analyzed by receiver operating characteristic(ROC)curve.Results The expression of miR-34a-5p in pancreatic cancer tissues was lower than that in normal tissues adjacent to cancer(P<0.05).There were statistically significant differences in the expression of miR-34a-5p in pancreatic cancer tissues of patients with different differentiation degrees,TNM stages,and lymph node metastasis(P<0.05).The proportions of low differentiation,TNM stage for stage Ⅲ,lymph node metastasis and incisal margin of R1,and levels of carbohydrate antigen 199(CA199),neutrophils/lymphocytes ratio(NLR)and platelet/lymphocyte ratio(PLR)for patients in the poor prognosis group were higher than those in the good prognosis group(P<0.05),while miR-34a-5p expression was lower than that in the good prognosis group(P<0.05).Cox regression analysis showed that low differentiation,TNM stage for stage Ⅲ,lymph node metastasis,incisal margin of R1,decreased expression of miR-34a-5p and increased levels of CA199,NLR and PLR were risk factors of poor prognosis for patients with pancreatic cancer(P<0.05).ROC curve analysis showed that the optimal cut-off value of miR-34a-5p expression in pancreatic cancer tissue for predicting poor prognosis of patients was 0.48,the sensitivity was 78.82%,the specificity was 89.47%and the area under the curve was 0.855,with good predictive value.Conclusion The expression of miR-34a-5p in pancreatic cancer tissue is lower than that in normal tissue adjacent to cancer,and its expression is related to the differentiation degree,TNM stage and lymph node metastasis,which is also a risk factor and predictor of poor prognosis for patients with pancreatic cancer.

AIM To investigate the protective effects of Shuangyi Qushi Tongluo Capsules(Shuangyi Capsules)on Dexamethasone(Dex)induced osteoporosis in mice.METHODS The C57BL/6J mice were randomly divided into the control group,the model group,the Xianling Gubao Capsules group(1.5 g/kg),and the low-dose,moderate-dose,and high-dose Shuangyi Capsules groups(0.6,1.2,and 2.4 g/kg).The mouse model of osteoporosis was induced by 8-week intraperitoneal injection of Dex sodium phosphate injection(5 mg/kg).The mice had their femur osteogenesis observed with hematoxylin and eosin(HE)staining and tartrate-resistant acid phosphatase(TRAP)staining;their serum alkaline phosphatase(ALP)and osteocalcin(BGP)activities detected by ELISA;their femoral mRNA expressions of Col-Ⅰ,OCN,and OPN detected by RT-qPCR;and their femoral protein expressions of OPG and RANKL detected by Western blot.Upon the MC3T3-E1 cells exposed to Dex and Shuangyi Capsules,their viability was evaluated by CCK-8 assay;their mineralization determined by alkaline phosphatase staining and alizarin red staining(ARS);and their intracellular ROS level detected using DCFH-DA probe.RESULTS Compared with the model group,Shuangyi Capsules groups demonstrated improved fracture of femoral trabeculae and reduced number of osteoclasts;increased serum ALP and BGP activities(P＜0.05,P＜0.01);increased femoral expressions of Col-Ⅰ mRNA and OPG protein(P＜0.05,P＜0.01);and decreased RANKL protein expression(P＜0.05).Compared with the MC3T3-E1 cells stimulated by Dex,those underwent further treatment of Shuangyi Capsules demonstrated increased cell viability and ALP activity(P＜0.05,P＜0.01);increased mineralization and calcium nodule formation;increased expressions of Col-Ⅰ,OCN,OPN mRNA and OPG protein(P＜0.05,P＜0.01);decreased RANKL protein expression(P＜0.05,P＜0.01);and reduced ROS levels.CONCLUSION Shuangyi Capsules ameliorate Dex-induced osteoporosis in mice by suppressing osteoclast overactivation,enhancing osteoblast activity,and stimulating bone formation through modulation of Col-Ⅰ,OCN,OPN mRNA and OPG/RANKL protein levels.

Aim To explore the effects of D-limonene on the steatosis of primary mouse hepatocytes and its potential mechanism of action.Methods Oleic acid-induced steatosis in primary mouse hepatocytes was used as a model to observe the effects of D-limonene on cell viability,cellular lipid content,and intracellular expression of proteins such as AMP-activated protein kinase(AMPK),acetyl-coenzyme A carboxylase 1(ACC1),and carnitine palmitoyl transferase 1A(CPT1A).Results It was found that a low dose of D-limonene could effectively enhance the viability of primary mouse hepatocytes.When oleic acid at a con-centration of 300 μmol·L-1 successfully induced steatosis in primary mouse hepatocytes,D-limonene re-duced the lipid content of the cells,and D-limonene up-regulated the cellular AMPK expression level,down-regulated the cellular ACC1 and fatty acid synthetase(FAS)expression levels,which in turn promoted the overexpression of CPT1A.Conclusions D-limonene has the effect of reducing lipid deposition in primary mouse hepatocytes,and the mechanisms may be related to the activation of AMPK,the inhibitions of ACC1 and FAS,and the up-regulation of CPT1A protein expres-sion level.

Objectives:To evaluate the impact of hemoglobin concentration on 5-year cardiovascular mortality in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:This study retrospectively analyzed 325 non-surgically treated HOCM patients hospitalized at Fuwai Hospital from October 2009 to December 2014.Baseline information was compared between patients with or without cardiac death.The impact of hemoglobin concentration on 5-year cardiovascular mortality in HOCM patients was analyzed.Results:The median follow-up time was(43.55±19.70)months.During the follow-up period,a total of 29 patients(8.9%)experienced cardiac death.Univariate Cox regression analysis demonstrated that hemoglobin concentration was significantly associated with 5-year cardiac mortality in HOCM patients(P<0.001).After adjusting for potential cardiovascular risk factors in multivariate Cox regression analysis,hemoglobin concentration(P=0.011)remained negatively associated with 5-year cardiac mortality in HOCM patient.HOCM patients with decreased hemoglobin level faced a 3.118-fold increase in 5-year cardiac mortality(HR=4.118,95%CI:1.114-14.822,P=0.030).Kaplan-Meier survival analysis showed that HOCM patients with decreased hemoglobin levels had a significantly higher risk of 5-year cardiac mortality(log-rank test,χ2=24.38,P<0.001).Conclusions:Lower hemoglobin concentration is an independent risk factor for 5-year cardiac mortality in patients with HOCM.Compared to patients with normal hemoglobin levels,HOCM patients with decreased hemoglobin level face a 3-fold increase in 5-year cardiac mortality.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To explore the relationship between cognitive function changes and leukoaraiosis(LA)and cerebrovascular reserve(CVR)in elderly patients with rheumatoid arthritis(RA).Methods A total of 160 elderly patients with RA were selected and their cognitive function were also evaluated.Based on the scoring results of Montreal cognitive assessment(MoCA),all patients were categorized into normal cognitive function group[non cognitive impairment(CI)group]and CI group,respectively.The general clinical information of the patients were recorded,LA via head MRI were evaluated,and CVR through breath holding index(BHI)were assessed,respectively.The relevant risk factors of the two groups of RA patients were analyzed,and univariate and multivariate logistic regression analyses were used to screen the independent risk factors for cognitive decline in elderly patients with RA,and the predictive efficacy of LA score and BHI in the two groups of patients were compared,respectively.Results There were significant differences in education level,coronary heart disease,diabetes,disease activity score(DAS28 score),BHI and LA score between the two groups(P＜0.05).Multivariate logistic regression results displayed that BHI and LA score were independent risk factors for cognitive decline.The receiver operating characteristic(ROC)curve suggested that BHI had a higher predictive value for cognitive decline in elderly RA patients.Conclusion The LA score of elderly RA patients with CI increases while BHI significantly decreases.BHI has a high diagnostic value in predicting cognitive decline in elderly RA patients.