Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

ObjectiveTo explore the potential categories and characteristics of the public hospice care demand in Hainan Province， and analyze different potential types of influencing factors， so as to provide reference for relevant departments to improve the public awareness and demand of hospice care. MethodsUsing convenience sampling method， select 6484 cities of the public as the survey object， using the general data questionnaire， the hospice care demand questionnaire of the potential profile analysis， and analyze the influencing factors of the public hospice care demand category. ResultsThe characteristics of the hospice care demand in Hainan Province were divided into three potential categories： low demand group （14.19%）， medium demand group （49.99%） and high demand group （35.82%）. Multivariate analysis showed that gender， age， education level， cultural belief， and life-death education experience were the main influencing factors of public hospice care demand （p<0.05）. Males， those aged 41-60 years， and those with high school education or below had relatively lower hospice care demand， while those with life-death education experience had relatively higher demand. ConclusionRelevant departments should focus on hospice care knowledge popularization and demand enhancement for males， middle-aged groups， and people with low education levels， while strengthening universal life-death education through stratified and classified publicity strategies and educational interventions to improve different populations’ awareness and acceptance of hospice care.

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.

ObjectiveTo evaluate the predictive value of six surrogate indices of insulin resistance （IR） for cardiovascular disease （CVD） risk in adults with cardiovascular-kidney-metabolic syndrome （CKM） stages 0-3. MethodsRelated data of 6 813 participants from the China health and retirement longitudinal study （CHARLS） were analyzed. Cox proportional hazards models and restricted cubic spline （RCS） analyses were performed to evaluate the associations between six insulin resistance surrogate indices （TyG， TyG-BMI， TyG-WC， TyG-WHtR， TyG-CVAI， CVAI） and CVD incidence. Predictive performance of 6 indices was comprehensively compared from 3 dimensionalities， using receiver operating characteristic （ROC） curves for discriminative ability， net reclassification improvement （NRI） for incremental predictive value， and decision curve analysis （DCA） for clinical utility. ResultsAll six IR surrogate indices significantly predicted CVD in the CKM population. RCS analysis revealed linear associations between each index and CVD incidence. ROC analysis showed that CVAI had the highest AUC （0.628，95%CI： 0.611-0.646）， significantly outperforming the single TyG index （P=0.001 6）. NRI analysis indicated significant reclassification improvement for the event group with CVAI （event NRI=0.042 8）. DCA demonstrated that CVAI achieved the highest net benefit across most thresholds. Subgroup analysis confirmed stronger associations between CVAI and CVD risk in CKM stages 2-3. ConclusionsThese six IR surrogate indices serve as valuable tools for predicting CVD incidence in individuals with CKM stages 0-3. Among them， CVAI exhibits optimal predictive value for future CVD risk in adults with CKM stages 1-3.

Objective:To improve the understanding of patients with diffuse large B-cell lymphoma (DLBCL) with pulmonary cryptococcosis.Methods:The clinical data of 1 DLBCL patient with pulmonary cryptococcosis in the Central Hospital of Fengxian District of Shanghai in May 2023 were retrospectively analyzed, and the relevant literatures were reviewed.Results:This 75-year-old female patient was asymptomatic after 2 cycles of R-CHOP chemotherapy. The high-resolution CT of lung showed that lung nodules were progressively enlarged. Antibacterial treatment was ineffective. Pulmonary cryptococcosis was confirmed by bronchoalveolar lavage fluid (BALF) targeted high-throughput sequencing (tNGS) and cryptococcus capsular antigen (CrAg) detection. The central nervous system was not involved. And the long-term adequate-dose fluconazole was prescribed for 6 months, and the treatment against lymphoma was given synchronously. The lung nodule lesions reduced after antifungal therapy for 1 month. The lung nodules disappeared after the follow-up of 6 months after completion of final chemotherapy. The evaluation of lymphoma indicated complete remission.Conclusions:Pulmonary cryptococcosis occurs insidiously and shows no specific symptoms; its imaging manifestations are variable and routine anti-infection is ineffective. Immunochemotherapy for lymphoma patients is a high-risk factor for cryptococcal infection. tNGS and CrAg testing for BALF are effective methods of the confirmed diagnosis. The early and long-term adequate-dose antifungal treatment is the key to preventing the recurrence or progression.

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

Objective:To investigate the nutritional status of esophageal cancer patients and analyze the ability of the modified Patient-Generated Subjective Global Assessment(mPG-SGA)to evaluate nutritional status against the original PG-SGA standard.Method:We enrolled 479 patients newly diagnosed with esophageal cancer at a provincial tertiary hospital in Shenyang from August 2022 to April 2024.Blood samples were analyzed for nutritional indicators,and nutritional status was assessed using both PG-SGA and mPG-SGA.The nutritional assessment ability of mPG-SGA was evaluated using specificity,sensitivity,area under the curve(AUC),weighted kappa coefficient,and correlation analysis.Results:Among the 479 patients,the incidence of moderate-to-severe malnutrition was 74.9%(by PG-SGA)and 72.9%(by mPG-SGA).Using PG-SGA as the standard,mPG-SGA demonstrated sensitivities of 95.4%,100%,and 100%;specificities of 98.5%,92.3%,and 89.5%;and AUC values of 0.997,0.994,and 0.989(all P<0.001)for distinguishing mild vs.moderate-to-severe malnutrition,mild-to-moderate malnutrition,and moderate-to-severe malnutrition,respectively.The overall weighted Kappa coefficient between the scales was 0.898(P<0.001).Conclusion:Malnutrition is highly prevalent among esophageal cancer patients.The mPG-SGA shows strong accuracy and consistency with PG-SGA in assessing nutritional status.Given its simplicity and efficiency,mPG-SGA may become a primary nutritional assessment tool for this population,though further multicenter validation with larger samples is warranted.

Liquid biopsy,as an emerging minimally invasive early detection method for tumors,has shown great potential;however,several challenges limit its application in tumor diagnosis.Tetrahedral framework nucleic acids(tFNAs)have garnered significant attention in the biomedical field due to their structural stabili-ty,programmability,and superior intracellular endocytosis and tissue penetration capabilities.These properties make tFNAs an ideal candidate for constructing advanced biosensing platforms for liquid biopsy applications.tFNAs significantly enhance the binding efficiency of circulating tumor cells(CTCs),circulating tumor DNA(ctDNA),and extracellular vesicles(EVs),thereby improving the sensitivity and detection capability of the liquid biopsy biosensing platform.This review provides a comprehensive overview of tFNAs-based biosensors in the liquid biopsy field.It elaborates on the synthesis,characteristics,and applications of tFNAs in detecting CTCs,ctDNA,and EVs.Additionally,it discusses the diverse strategies and advantages of tFNAs in biosens-ing applications,highlighting how these features significantly enhance the performance and reliability of bio-sensors.Finally,this review addresses the current challenges faced by tFNAs in liquid biopsy and explores their future prospects,aiming to facilitate early screening,precise diagnosis,and integrated diagnostic-treat-ment approaches for tumors.

OBJECTIVE: This study investigated the antidepression mechanisms of Xiaoyaosan (XYS), a classic Chinese prescription, from the perspective of energy metabolism in the brain and intestinal tissues. METHODS: Chronic unpredictable mild stress model-a classic depression rat model-was established. Effects of XYS on behaviors and gastrointestinal motility of depressed rats were investigated. Effects of XYS on energetic charge (EC), adenosine triphosphate-related enzymes, and key enzymes of energy metabolism in both hippocampus and jejunum tissues of depressed rats were investigated using high-performance liquid chromatography, biochemical analysis, and real-time quantitative polymerase chain reaction, respectively. Spearman correlation analysis was conducted to construct a correlation network of "behavior-brain energy metabolism-intestinal energy metabolism" of depression. RESULTS: XYS significantly reduced the abnormal behaviors that observed in depressed rats and increased the EC and the activity of Na⁺-K⁺-adenosine triphosphatase (ATPase) and Ca²⁺-Mg²⁺-ATPase in hippocampus and jejunum tissues of depressed rats. XYS restored the key energetic pathways that had been interrupted by depression, including glycolysis, tricarboxylic acid cycle, and oxidative phosphorylation. Furthermore, XYS exhibited antidepressive effects in terms of regulating energy metabolism in tissues of both brain and intestine. CONCLUSION XYS significantly corrected the disturbances in EC and energy metabolism-related enzymes of both brain and intestinal tissues, alleviating both core and concomitant symptoms of depression. The current findings underscore the role of energy metabolism in the antidepressive activity of XYS, providing a fresh perspective on depression, and novel research strategies for revealing the mechanism of actions of traditional Chinese medicines on multi-site and multi-symptom diseases. Please cite this article as: Xiao MT, Wang SY, Wu XL, Zhao ZY, Wang HM, Liu HM, Qin XM, Liu XJ. Antidepressant mechanism of Xiaoyaosan: A perspective from energy metabolism of the brain and intestine. J Integr Med. 2025; 23(6):706-720.
Animals ; Energy Metabolism/drug effects* ; Antidepressive Agents/therapeutic use* ; Drugs, Chinese Herbal/therapeutic use* ; Brain/drug effects* ; Male ; Depression/metabolism* ; Rats ; Rats, Sprague-Dawley ; Intestines/drug effects* ; Hippocampus/drug effects*

OBJECTIVE: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection frequently develop central nervous system damage, yet the mechanisms driving this pathology remain unclear. This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant (lineage B.1.351). METHODS: K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant. Viral replication, pathological phenotypes, and brain transcriptomes were analyzed. Gene Ontology (GO) analysis was performed to identify altered pathways. Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot. RESULTS: Pathological alterations were observed in the lungs of both mouse strains. However, only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection, accompanied by neuropathological injury and weight loss. GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses, including type I interferons, pro-inflammatory cytokines, Toll-like receptor signaling components, and interferon-stimulated genes. Neuroinflammation was evident, alongside activation of apoptotic and pyroptotic pathways. Furthermore, altered neural cell marker expression suggested viral-induced neuroglial activation, resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks. CONCLUSION These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.
Animals ; COVID-19/genetics* ; Mice ; Brain/metabolism* ; Apoptosis ; Mice, Inbred C57BL ; SARS-CoV-2/physiology* ; Pyroptosis ; Gene Expression Profiling ; Transcriptome ; Male ; Female