Objective To compare the clinical efficacy, safety, and patient’ prognosis of catheter-directed thrombolysis (CDT) via anterior tibial vein and popliteal vein approaches in the treatment of acute lower extremity deep vein thrombosis (DVT). Methods A retrospective analysis was conducted on the clinical data of 195 patients diagnosed with acute mixed lower extremity DVT and treated with CDT in the Department of Interventional and Vascular Surgery, Affiliated Hospital of Nantong University from January 2020 to December 2023. Patients were divided into an observation group (anterior tibial vein approach, n＝97) and a control group (popliteal vein approach, n＝98) according to the puncture route. Baseline data, thrombolysis-related indices (urokinase dosage, coagulation function indices), efficacy measures (degree of thrombus dissolution, leg circumference difference, visual analogue scale [VAS] score, venous clinical severity score [VCSS]), recovery parameters (time to ambulation, length of hospital stay), complication rates, and long-term prognosis measures (Villalta score, incidence of post-thrombotic syndrome [PTS]) were compared between the two groups. Results There was no statistically significant difference in urokinase dosage and levels of coagulation function indices between the two groups. Postoperatively, the leg circumference difference at 15 cm below the knee, VAS score, and VCSS score were significantly lower in the observation group than in the control group (P＝0.001). The observation group had higher grade Ⅲ dissolution rates in the popliteal and anterior tibial veins compared to the control group (P＜0.05), while differences of dissolution rates in the iliac and femoral veins were not statistically significant. The observation group had shorter length of hospital stay and earlier ambulation times than the control group (P＝0.001). There were no significant differences in complication rates, Villalta scores, or PTS incidence between the two groups. Conclusions CDT via the anterior tibial vein puncture approach for acute mixed lower extremity DVT is superior to the popliteal vein approach in promoting resolution of lower extremity swelling, alleviating pain, improving venous clinical symptoms, and achieving higher thrombus dissolution rates in the popliteal and anterior tibial veins. It also enables faster recovery and demonstrates good safety.

Objective To compare the efficacy of modified radiofrequency ablation (RFA) combined with sclerosing agent injection and high stripping and ligation (HSL) combined with sclerosing agent injection in the treatment of great saphenous vein varicosity. Methods A total of 220 patients (252 affected limbs) who underwent surgery for great saphenous vein varicosity at Affiliated Hospital of Nantong University from May 2022 to March 2024 were selected. They were divided into RFA group (110 patients and 125 affected limbs treated with modified RFA combined with sclerosing agent injection) and HSL group (110 patients and 127 affected limbs treated with HSL combined with sclerosing agent injection) according to the surgical methods. The treatment effect, surgical time, bleeding during the surgery, time to get out of bed after surgery, and various postoperative complications were compared between the two groups. The pain level, disease severity, and the quality of life were measured using the visual analog scale (VAS), venous clinical severity score (VCSS) and chronic venous insufficiency questionnaire-14 item (CIVIQ-14), respectively. Results There was no statistically significant difference in the total effective rate between the two groups of patients, but the distribution of efficacy levels in the RFA group was better than that in the HSL group (P＝0.044). Compared with the HSL group, the RFA group had shorter surgery time, fewer incisions during surgery, less bleeding during the surgical process, shorter time to get out of bed after surgery（P＜0.01）, and a lower overall complication rate (P＝0.006). The RFA group had lower postoperative VAS, VCSS, and CIVIQ-14 scores than the HSL group 1 month after surgery (P＜0.01). During 6 months of postoperative follow-up, the recurrence rates were similar between the two groups. Conclusions Compared with HSL combined with sclerosing agent injection, the modified RFA combined with sclerosing agent injection for the great saphenous vein varicosity has the advantages of less trauma, faster recovery, fewer complications, better postoperative quality of life, and is worthy of clinical promotion and application.

OBJECTIVE: To explore a predictive model that can better predict the prognosis of patients with diffuse large B-cell lymphoma (DLBCL), and validate its clinical value. METHODS: Clinical data of 134 newly treated DLBCL patients were collected from Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2015 to January 2020. Several risk factors of the patients were screened and analyzed, a novel prognostic model were then established based on this, and its clinical application potential was validated. RESULTS: In the novel model, predicting progression-free survival (PFS) based on the age at initial treatment, albumin level, Hans classification, Ann Arbor stage, and BCL2 expression showed better predictive performance than International Prognostic Index (IPI) score (AUC: 0.788 vs 0.620，P <0.001). Predicting overall survival (OS) based on the age at initial treatment, albumin level, lactate dehydrogenase (LDH) level, and expressions of BCL2 and MUM1 proteins also showed better predictive performance for mortality risk than IPI score (AUC: 0.817 vs 0.624，P <0.001). CONCLUSION This novel prognostic model can better predict the survival prognosis of DLBCL patients compared to the IPI scoring system.
Humans ; Lymphoma, Large B-Cell, Diffuse/diagnosis* ; Prognosis ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Risk Factors ; Male ; Female ; Middle Aged

OBJECTIVE: To analyze the Epstein-Barr virus (EBV) load in different lymphocyte subsets, as well as clinical characteristics and outcomes in patients with hematologic malignancies experiencing EBV reactivation. METHODS: Peripheral blood samples from patients were collected. B, T, and NK cells were isolated sorting with magnetic beads by flow cytometry. The EBV load in each subset was quantitated by real-time quantitative polymerase chain reaction (RT-qPCR). Clinical data were colleted from electronic medical records. Survival status was followed up through outpatient visits and telephone calls. Statistical analyses were performed using SPSS 25.0. RESULTS: A total of 39 patients with hematologic malignancies were included, among whom 35 patients had undergone allogeneic hematopoietic stem cell transplantation (allo-HSCT). The median time to EBV reactivation was 4.8 months (range: 1.7-57.1 months) after allo-HSCT. EBV was detected in B, T, and NK cells in 20 patients, in B and T cells in 11 patients, and only in B cells in 4 patients. In the 35 patients, the median EBV load in B cells was 2.19×10⁴ copies/ml, significantly higher than that in T cells (4.00×10³ copies/ml, P <0.01) and NK cells (2.85×10² copies/ml, P <0.01). Rituximab (RTX) was administered for 32 patients, resulting in EBV negativity in 32 patients with a median time of 8 days (range: 2-39 days). Post-treatment analysis of 13 patients showed EBV were all negative in B, T, and NK cells. In the four non-transplant patients, the median time to EBV reactivation was 35 days (range: 1-328 days) after diagnosis of the primary disease. EBV was detected in one or two subsets of B, T, or NK cells, but not simultaneously in all three subsets. These patients received a combination chemotherapy targeting at the primary disease, with 3 patients achieving EBV negativity, and the median time to be negative was 40 days (range: 13-75 days). CONCLUSION In hematologic malignancy patients after allo-HSCT, EBV reactivation commonly involves B, T, and NK cells, with a significantly higher viral load in B cells compared to T and NK cells. Rituximab is effective for EBV clearance. In non-transplant patients, EBV reactivation is restricted to one or two lymphocyte subsets, and clearance is slower, highlighting the need for prompt anti-tumor therapy.
Humans ; Hematologic Neoplasms/virology* ; Herpesvirus 4, Human/physiology* ; Epstein-Barr Virus Infections ; Hematopoietic Stem Cell Transplantation ; Virus Activation ; Lymphocyte Subsets/virology* ; Flow Cytometry ; Killer Cells, Natural/virology* ; Male ; Female ; B-Lymphocytes/virology* ; Viral Load ; Adult ; T-Lymphocytes/virology* ; Middle Aged

Entamoeba histolytica and Giardia lamblia are two types of parasites that can cause intestinal infections in humans. Patients can be transmitted through the ingestion of food and drinking water contaminated with cysts, and present symptoms such as abdominal pain and diarrhea after infection. If Entamoeba histolytica infection is not actively and effectively treated, patients may also present with clinical manifestations such as purulent and bloody stools and colonic ulcers. This study reports a diarrhea case with concurrent infection of Entamoeba histolytica and Giardia lamblia. During the diagnostic process, the parasites were rapidly detected using the direct saline smear method. Subsequently, iodine staining and iron hematoxylin staining techniques were employed to meticulously observe the internal structures and morphological features of the parasites under a microscope, enabling successful identification of the parasite species. The diagnostic process in this case suggests that laboratory personnel should further enhance their ability to recognize the morphological characteristics of cysts and trophozoites of Entamoeba histolytica and Giardia lamblia, providing an effective basis for the clinical differential diagnosis between Entamoeba histolytica infection and ulcerative colitis.

Cytokeratin 19 fragment antigen 21-1(CYFRA21-1)is a new biomarker which has received much attention in recent years for cancer screening,and has shown great potentials for screening and diagnosis of various cancers,especially non-small cell lung cancer.CYFRA21-1 level in human serum has important clinical significance in the diagnosis,prognosis and treatment of lung cancer.Recently,a variety of detection techniques have been established to effectively enrich the detection technology system of CYFRA21-1,such as enzyme-linked immunosorbent assay,chemiluminescence,fluorescence,immunochromatography,electrochemical method,and surface enhanced Raman spectroscopy,etc.These techniques provide technical support for early diagnosis of lung cancer.However,the research progress of CYFRA21-1 detection methods is rarely reported.In this paper,CYFRA21-1 and its clinical significance were briefly introduced,and the progress of detection technology in recent ten years was reviewed,which was expected to provide reference for developing more sensitive,accurate,fast and convenient detection methods.

Malonylation is an important post-translational modification of proteins.In this work,a comprehensive malonylation proteomics study on hepatocellular carcinoma(HCC)tumorous and non-tumorous tissues using antibody enrichment combined with high performance liquid chromatography-mass spectrometry for discovery of early diagnostic biomarkers or potential new drug targets of HCC was performed.A total of 1299 malonylated peptides containing 1064 malonylated sites were identified from HCC tissues,corresponding to 511 malonylated proteins.Quantitative results showed that 56 and 80 malonylated proteins were up-regulated and down-regulated in HCC tissues,including 60 and 101 malonylated sites,respectively.Kyoto encyclopedia of genes and genomes(KEGG)pathway analysis showed that these differentially modified proteins were involved in various important pathways such as metabolic pathways,fatty acid degradation,and glycolysis/gluconeogenesis.As a key enzyme in glycolysis/gluconeogenesis,phosphoenolpyruvate carboxykinase 1(PCK1)was malonylated at lysine 244(K244)and the malonylation was only detected in HCC tumorous tissues.More importantly,the K244 site served as a binding site for Mn2+and highly conserved across different species.Therefore,it could speculate that the malonylation of K244 would affect its activity and played a role in liver cancer by affecting its binding with Mn2+,which requied further verification through site mutation experiments.Western blot analysis by malonylation pan antibody showed that the malonylation level reduced markedly in HCC tumorous tissues compared with adjacent non-tumorous tissues,which was consistent with mass spectrometry data.In addition,the proliferation and invasion of PLC/PRF/5 cell was significantly inhibited and protein malonylation level was increased obviously when treated with sodium malonate.All the evidence indicated that protein malonylation played an important role in HCC pathogenesis,and its molecular mechanism deserved further investigation.Furthermore,the 136 differentially malonylated proteins provided rich source of candidate targets for further research on HCC pathogenesis.

ObjectiveThis study proposes a novel single-cell protein localization method based on a class perception graph convolutional network (CP-GCN) to overcome several critical challenges in protein microscopic image analysis, including the scarcity of cell-level annotations, inadequate feature extraction, and the difficulty in achieving precise protein localization within individual cells. The methodology involves multiple innovative components designed to enhance both feature extraction and localization accuracy. MethodsFirst, a class perception module (CPM) is developed to effectively capture and distinguish semantic features across different subcellular categories, enabling more discriminative feature representation. Building upon this, the CP-GCN network is designed to explore global features of subcellular proteins in multicellular environments. This network incorporates a category feature-aware module to extract protein semantic features aligned with label dimensions and establishes a subcellular relationship mining module to model correlations between different subcellular structures. By doing so, it generates co-occurrence embedding features that encode spatial and contextual relationships among subcellular locations, thereby improving feature representation. To further refine localization, a multi-scale feature analysis approach is employed using the K-means clustering algorithm, which classifies multi-scale features within each subcellular category and generates multi-cell class activation maps (CAMs). These CAMs highlight discriminative regions associated with specific subcellular locations, facilitating more accurate protein localization. Additionally, a pseudo-label generation strategy is introduced to address the lack of annotated single-cell data. This strategy segments multicellular images into single-cell images and assigns reliable pseudo-labels based on the CAM-predicted regions, ensuring high-quality training data for single-cell analysis. Under a transfer learning framework, the model is trained to achieve precise single-cell-level protein localization, leveraging both the extracted features and pseudo-labels for robust performance. ResultsExperimental validation on multiple single-cell test datasets demonstrates that the proposed method significantly outperforms existing approaches in terms of robustness and localization accuracy. Specifically, on the Kaggle 2021 dataset, the method achieves superior mean average precision (mAP) metrics across 18 subcellular categories, highlighting its effectiveness in diverse protein localization tasks. Visualization of the generated CAM results further confirms the model’s capability to accurately localize subcellular proteins within individual cells, even in complex multicellular environments. ConclusionThe integration of the CP-GCN network with a pseudo-labeling strategy enables the proposed method to effectively capture heterogeneous cellular features in protein images and achieve precise single-cell protein localization. This advancement not only addresses key limitations in current protein image analysis but also provides a scalable and accurate solution for subcellular protein studies, with potential applications in biomedical research and diagnostic imaging. The success of this method underscores the importance of combining advanced deep learning architectures with innovative training strategies to overcome data scarcity and improve localization performance in biological image analysis. Future work could explore the extension of this framework to other types of microscopic imaging and its application in large-scale protein interaction studies.

OBJECTIVE: To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. METHODS: Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. CONCLUSIONS Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).
Humans ; Acupuncture Therapy ; Neoplasms/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Treatment Outcome

In the context of the development of transplant oncology, it is of great clinical significance to find a drug with both antitumor and immunosuppressive effects for liver transplantation patients with hepatocellular carcinoma (HCC). The antitumor effect of ginkgolic acid (GA) has been confirmed, and some studies suggest that GA may also have an immunosuppressive effect. The immunosuppressive effect of GA was evaluated by histopathology, T-cell subpopulation, and cytokine detection in rat liver transplantation and mouse cardiac transplantation models, and transcriptomic and metabolomic analysis was used to explore the underlying mechanism of the GA immunosuppressive effect. Metabolites, activation, and ferroptosis markers of CD8⁺ T cells were detected in vivo and in vitro. Based on rat liver transplantation and mouse cardiac transplantation models, the immunosuppressive effect of GA was first confirmed by histopathology, T-cell subpopulation, and cytokine detection. In the mouse cardiac transplantation model, transcriptomics combined with metabolomics demonstrated for the first time that GA inhibited lactate dehydrogenase A (LDHA) expression and pyruvate metabolism in CD8⁺ T cells. It was confirmed in vivo and in vitro that GA inhibited pyruvate metabolism of CD8⁺ T cells through LDHA, inhibiting their activation and inducing ferroptosis. Overexpression of LDHA partially reversed the effect of GA on the metabolism, activation, and ferroptosis of CD8⁺ T cells in vitro. GA mediates metabolic reprogramming through LDHA to inhibit the activation and induce ferroptosis of CD8⁺ T cells to exert an immunosuppressive effect, which lays an experimental foundation for the future clinical application of its immunosuppressive effect.