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.

Objective: To analyze the etiologic distribution of difficult crossmatching and the characteristics of red blood cell antibodies, to summarize compatible transfusion strategies based on serological abnormalities, and to evaluate red blood cell transfusion efficacy and changes in bilirubin levels before and after transfusion. Methods: A retrospective analysis was conducted on difficult crossmatching cases handled by the Department of Blood Transfusion of our hospital from January 2024 to December 2025. Cases that met the criteria for difficult crossmatching determination and had complete data were included in the analysis of the causes and antibody distribution. Patients who completed red blood cell transfusion and had complete hemoglobin (Hb) data before and within 24 hours after transfusion were included in the exploratory subgroup analysis of transfusion efficacy; among them, those who also had total bilirubin and indirect bilirubin data before and after the corresponding transfusion event were included in the bilirubin analysis. According to the main serological abnormal manifestations before transfusion and the actual compatible transfusion management pathways, the cases included in the exploratory subgroup analysis were divided into three groups: the alloantibody-related difficult crossmatching group, the autoantibody-related or autoantibody combined with alloantibody-related difficult crossmatching group, and the ABO blood group identification abnormality-related difficult crossmatching group. The Hb levels before and after transfusion, the Hb increase after transfusion of each unit of red blood cells, and the changes in bilirubin levels before and after transfusion were compared among the groups. Results: A total of 322 difficult crossmatching cases met the predefined criteria, of which 287 were included in the analysis of causes and antibody distribution. There were 183 cases of alloantibody-related difficult crossmatching (63.76%), 54 cases related to inconsistency between ABO forward and reverse typing (18.82%), 44 cases related to autoantibodies (15.33%), and 6 cases related to interference from anti-CD38 monoclonal antibody drugs (2.09%). Among the 183 alloantibody-related cases, 79 cases had only a single alloantibody detected, among which antibodies of the Rh blood group system accounted for 49.37% (39/79). Among single alloantibodies, anti-E was detected most frequently, with 35 cases (44.30%), followed by anti-M with 19 cases (24.05%) and anti-Le with 13 cases (16.46%). A total of 109 cases were included in the exploratory subgroup analysis of transfusion efficacy, including 76 cases in the alloantibodyrelated difficult crossmatching group, 17 cases in the autoantibody-related or autoantibody combined with alloantibody-related difficult crossmatching group, and 16 cases in the ABO blood group identification abnormality-related difficult crossmatching group. The sex distribution and history of previous transfusion differed between cases included in and not included in this analysis. The Hb levels after transfusion in all three groups were higher than those before transfusion, and the differences were statistically significant (P<0.05). The Hb increase per unit of red blood cells did not differ significantly among the three groups (P=0.086). Among 73 cases with paired total and indirect bilirubin data corresponding to the transfusion events, the comparison of changes in total bilirubin among the three groups showed no statistically significant difference (P=0.864), and the comparison of changes in indirect bilirubin among the three groups also showed no statistically significant difference (P=0.914). Conclusion: Alloantibody-related factors were the main causes of difficult crossmatching in this study. Among single alloantibodies, Rh blood group system antibodies, especially anti-E, were relatively common. In the included exploratory subgroup, after individualized compatible transfusion based on the causes of difficult crossmatching, antibody specificities, and crossmatching results, Hb levels were higher after transfusion than before transfusion in all three groups. Within the scope of this study, the magnitude of bilirubin changes did not differ significantly among the different types of difficult crossmatching.

Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.

ObjectiveFunctional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients. MethodsA cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity. ResultsThe data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode. ConclusionBoth dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.

Promoting the international acceptance of clinical studies about traditional Chinese medicine (TCM) interventions is a key strategy for internationalization of TCM. However, the complexities of TCM interventions—in terms of the theories, practice patterns, and components—pose challenges to the design and implementation of clinical studies that are well accepted by the international community. This article summarized the current status of clinical studies about TCM interventions that were published in international journals, explored underlying barriers hindering the international acceptance, and discussed potential strategies for future development.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Apical microsurgery is accurate and minimally invasive, produces few complications, and has a success rate of more than 90%. However, due to the lack of awareness and understanding of apical microsurgery by dental general practitioners and even endodontists, many clinical problems remain to be overcome. The consensus has gathered well-known domestic experts to hold a series of special discussions and reached the consensus. This document specifies the indications, contraindications, preoperative preparations, operational procedures, complication prevention measures, and efficacy evaluation of apical microsurgery and is applicable to dentists who perform apical microsurgery after systematic training.
Microsurgery/standards* ; Humans ; Apicoectomy ; Contraindications, Procedure ; Tooth Apex/diagnostic imaging* ; Postoperative Complications/prevention & control* ; Consensus ; Treatment Outcome

By systematically combing ancient and modern literature， this paper examined Tribuli Fructus and Astragali Complanati Semen（ACS） used in the famous classical formulas from the aspects of name， origin， production area， harvesting and processing， clinical efficacy， so as to provide a basis for the development of famous classical formulas containing such medicinal materials. The results showed that the names of Tribuli Fructus in the past dynasties were mostly derived from its morphology， and there were nicknames such as Baijili， Cijili and Dujili. The name of ACS in the past dynasties were mostly originated from its production areas， and there were nicknames such as Baijili， Shayuan Jili and Tongjili. Because both of them had the name of Baijili， confusion began to appear in the Song dynasty. In ancient and modern times， the main origin of Tribuli Fructus were Tribulus terrestris， and ancient literature recorded the genuine producing areas of Tribuli Fructus was Dali in Shaanxi and Tianshui in Gansu， but today it is mainly cultivated in Anhui and Shandong. The fruit is the medicinal part， harvested in autumn throughout history. There is no description of the quality of Tribuli Fructus in ancient times， and the plump， firm texture， grayish-white color is the best in modern times. Traditional processing methods for Tribuli Fructus included stir-frying and wine processing， while modern commonly used is purified， fried and salt-processed. The ancient records of Tribuli Fructus were spicy， bitter， and warm in nature， with modern research adding that it is slightly toxic. The main effects of ancient and modern times include treating wind disorders， improving vision， promoting muscle growth， and treating vitiligo. The mainstream base of ACS used throughout history is Astragalus complanatus. Ancient texts indicated ACS primarily originated from Shaanxi province. Today， the finest varieties come from Tongguan and Dali in Shaanxi. The medicinal part is the seed， traditionally harvested in autumn. Modern harvesting occurs in late autumn or early winter， followed by sun-drying. Ancient texts valued seeds with a fragrant aroma as superior， while modern standards prioritize plump， uniform and free of impurities. Traditional processing methods for ACS included frying until blackened and wine-frying， while modern practice commonly employs purification methods. In terms of medicinal properties， the ancient and modern records are sweet and warm in nature. Due to originally classified under Tribuli Fructus， its effects were thus regarded as equivalent to those of Tribuli Fructus， serving as the medicine for treating wind disorders， additional functions included tonifying the kidneys and treating vitiligo. The present record of its efficacy is to tonify the kidney and promote Yang， solidify sperm and reduce urine， nourish the liver and brighten the eye， etc. Based on the textual research results， it is suggested that when developing the famous classical formulas of Tribuli Fructus medicinal materials， we should pay attention to the specific reference object of Baijili， T. terrestris and A. complanatus should be identified and selected， and the processing method should be in accordance with the requirements of the formulas.

Promoting the international acceptance of clinical studies about traditional Chinese medicine (TCM) interventions is a key strategy for internationalization of TCM. However, the complexities of TCM interventions—in terms of the theories, practice patterns, and components—pose challenges to the design and implementation of clinical studies that are well accepted by the international community. This article summarized the current status of clinical studies about TCM interventions that were published in international journals, explored underlying barriers hindering the international acceptance, and discussed potential strategies for future development.

Promoting the international acceptance of clinical studies about traditional Chinese medicine (TCM) interventions is a key strategy for internationalization of TCM. However, the complexities of TCM interventions—in terms of the theories, practice patterns, and components—pose challenges to the design and implementation of clinical studies that are well accepted by the international community. This article summarized the current status of clinical studies about TCM interventions that were published in international journals, explored underlying barriers hindering the international acceptance, and discussed potential strategies for future development.