Background/Aims: Data from Asia regarding the short-term and long-term outcomes for acute severe ulcerative colitis (ASUC) are limited. We assessed the outcomes of ASUC, identified the risk factors for colectomy, and compared colectomy rates between the pre-biologics and post-biologics eras in Taiwan. Methods: The patients with an ASUC diagnosis between January 2013 and March 2022 at 5 tertiary medical centers were retrospectively analyzed. Results: In total, 98 patients were enrolled, with 68.4% diagnosed in the post-biologics era. In 78.6% of the ASUC patients initially received intravenous steroid therapy, for which the success rate was 74.1%. As for rescue therapy, 15 patients (93.8%) received biologics and 1 (6.3%) received cyclosporin. Biologics rescue therapy had a 93.3% success rate. One (1%) mortality due to septic shock occurred. The colectomy rate for index ASUC admission was 11.2%. Patients receiving colectomy were predominantly male (P= 0.012) and at older age (P= 0.016). Higher C-reactive protein (P= 0.035), lower albumin (P= 0.017), and hemoglobin (P= 0.023) levels were associated with colectomy risk. During a median follow-up of 24 months, 13 patients (15.1%) had recurrent ASUC and 23.1% of patients received colectomy. The accumulated colectomy rate at 3 years did not differ between the pre- and post-biologics eras (16.1% vs. 13.4%, P= 0.270). Conclusions This is the first Asian study on ASUC to compare colectomy rates between the prebiologics and post-biologics eras, revealing no significant difference. The recurrent ASUC had a higher colectomy rate than the index ASUC.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

ObjectiveNon-invasive magnetic stimulation technology has been widely used in the treatment of Alzheimer’s disease (AD), but there is a lack of convenient and timely methods for evaluating and providing feedback on the effectiveness of the stimulation, which can be used to guide the adjustment of the stimulation protocol. This study aims to explore the possibility of heart rate variability (HRV) in diagnosing AD and guiding AD magnetic stimulation intervention techniques. MethodsIn this study, we used a 40 Hz, 10 mT pulsed magnetic field to expose AD mouse models to whole-body exposure for 18 d, and detected the behavioral and electroencephalographic signals before and after exposure, as well as the instant electrocardiographic signals after exposure every day. ResultsUsing one-way ANOVA and Pearson correlation coefficient analysis, we found that some HRV indicators could identify AD mouse models as accurately as behavioral and electroencephalogram(EEG) changes (P<0.05) and significantly distinguish the severity of the disease (P<0.05), including rMSSD, pNN6, LF/HF, SD1/SD2, and entropy arrangement. These HRV indicators showed good correlation and statistical significance with behavioral and EEG changes (r>0.3, P<0.05); HRV indicators were significantly modulated by the magnetic field exposure before and after the exposure, both of which were observed in the continuous changes of electrocardiogram (ECG) (P<0.05), and the trend of the stimulation effect was more accurately observed in the continuous changes of ECG. ConclusionHRV can accurately reflect the pathophysiological changes and disease degree, quickly evaluate the effect of magnetic stimulation, and has the potential to guide the pattern of magnetic exposure, providing a new idea for the study of personalized electromagnetic neuroregulation technology for brain diseases.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Ulcerative colitis（UC） is a chronic non-specific inflammatory bowel disease characterized by inflammation and ulceration of the colonic mucosa and submucosa， and its complex pathogenesis involves immune abnormality， oxidative stress and other factors. The nuclear transcription factor E₂-related factor 2（Nrf2）， encoded by the Nfe212 gene， plays a central role in antioxidant responses. It not only activates various antioxidant response elements such as heme oxygenase-1（HO-1） and quinone oxidoreductase 1（NQO1）， but also enhances the activity of glutathione-S-transferase（GST） and superoxide dismutase 1（SOD1）， effectively eliminating reactive oxygen species（ROS） accumulated in the body， and mitigating oxidative stress-induced damage to intestinal mucosa. In addition， Nrf2 can reduce the release of inflammatory factors and infiltration of immune cells by regulating immune response， cell apoptosis and autophagy pathways， thereby alleviating intestinal inflammation and promoting the repair and regeneration of damaged mucosa. Based on this， this paper reviews the research progress of Chinese materia medica in the prevention and treatment of UC by modulating the Nrf2 signaling pathway. It deeply explores the physiological role of Nrf2， the molecular mechanism of activation， the protective effect in the pathological process of UC， and how active ingredients in Chinese materia medica regulate the Nrf2 signaling pathway through multiple pathways to exert their potential mechanisms. These studies have revealed in depth that Chinese materia medica can effectively combat oxidative stress by regulating the Nrf2 signaling pathway. It can also play a role in anti-inflammatory， promoting autophagy， inhibiting apoptosis， protecting the intestinal mucosal barrier， and promoting intestinal mucosal repair， providing new ideas and methods for the multi-faceted treatment of UC.

With the rapid development of population aging in various countries around the world,the health and elderly care industry has been paid high attention.The standardization of smart health and elderly care technology and services is particularly important.This paper firstly reviewed the policies related to healthy elderly care in China.By analyzing the industrial standards and provincial standards issued,this paper focused on the policies proposed by the Shanghai Municipal Government for the standardization of smart health and elderly care,as well as the researches on the standard system and the construction of standard families.Shanghai group standards in the field of smart health and elderly care were summarized,including the guidelines for the construction of standard systems,elderly care service platforms,community elderly cafeterias,portable health monitoring terminals,indoor sports services,and home-based elderly care safety monitoring.A series of case analyses of the standardized implementation of the above aspects were also provided.Through standardization research and practice in recent years,it has been fully demonstrated that the standard research plays an important leading role in the field of smart health and elderly care.

Objective:To elucidate the genomic characteristics of the immunoglobulin (IG) heavy-chain variable region and light-chain variable region, the expression of subclones, and the prognostic significance in patients with CLL.Methods:Blood and/or bone marrow specimens were gathered from a cohort of 36 patients with CLL diagnosed at Jiangsu Province Hospital from December 2018 to May 2023, including 12 cases of B cell receptor (BCR) stereotyped patients. IG heavy-chain (IGH) and light-chain (IG Kappa [IGK] and IG lambda [IGL]) gene rearrangements were performed using next-generation sequencing (NGS) technology to analyze the characteristics and prognostic value in CLL.Results:NGS detection of IG variable region (IGHV) demonstrated a significant correlation and superior consistency with Sanger sequencing ( r=0.957, P < 0.001). Among the 36 patients, the IGH variant (IGHV) was observed in 9 (25.0%) but not in 27 (75.0%) participants. The incidence of the MYD88 mutation was higher among patients with mutated IGHV [1/27 (3.7%) vs 4/9 (44.4%), P=0.00]. A high incidence of trisomy 12 was observed in the IGHV #8/#8B subset [4/11 (36.4%) vs 1/25 (4.0%), P=0.023], which were more likely to develop Richter transformation [8/11 (72.7%) vs 4/25 (16.0%), P=0.002]. In the patient cohort, 36 individuals (36/36, 100.0%) used the IGK variable, whereas 15 individuals (15/36, 41.7%) employed the IGL variable (IGLV). IGLV3 - 21 reported the highest utilization rate in IGLV (5/15, 33.3%). Remarkably, patients with CLL with IGLV3-21 fragments were exclusively observed in the Binet C stage and Rai Phase Ⅲ-Ⅳ, with an incidence of del (13) (q14) at 60.0% (3/5). The median time to first treatment (TTFT) of patients with or without IGLV3 - 21 fragments was 5.2 (1.1 - 41.5) and 9.9 (0.1 - 94.4) months, respectively. Using the total reads threshold of 2.5%, 4 (4/36, 11.1%) samples were detected to have two IGHV productive clones. The median TTFT and overall survival (OS) time were 2.8 (0.9-72.7) and 12.8 months in patients with one mutated clone and 57.5 (32.0-120.7) and 51.8 months in those with two mutated clones, respectively. The median TTFT and OS time were 10.9 (0.3-94.4) and 6.3 (0.1 - 12.5) months in patients with one unmutated clone and 49.9 (22.2 - 211.1) and 30.0 (9.6 - 50.3) months in those with multiple unmutated clones, respectively ( P>0.05) . Conclusions:Detection of IG gene rearrangements using NGS technology not only facilitates the analysis of the IGHV mutation status, dominant clones, and prognostic value but also contributes to the exploration of IGK/IGL gene rearrangement fragments and the utilization of subclones. Further, it provides information about the poor prognosis of IGLV3 - 21 CLL. The shortened survival of the two unmutated clone groups in the IGHV unmutated group may indicate a poor prognosis.

Objective:To investigate the clinicopathological features, diagnosis, and prognosis of aggressive natural killer-cell leukemia (ANKL).Methods:A retrospective analysis was conducted on 27 ANKL patients treated at the First Affiliated Hospital of Nanjing Medical University from 2014 to 2024. Their clinical data, histomorphology, and immunophenotype were reviewed. Kaplan-Meier analysis was used to evaluate the overall survival (OS), and COX regression analysis was performed to identify prognostic factors affecting OS.Results:Among the 27 patients, 18 were male and 9 were female, with a male-to-female ratio of 2∶1. The age ranged from 15-75 years, with a median age of 42.0 (28.5, 54.5) years. Fever and splenomegaly were the most common signs and symptoms. Most patients presented with pancytopenia, coagulation abnormalities, and liver dysfunction; and all patients had elevated EBV loads. Microscopically, 16 cases showed marked to hypercellular bone marrow proliferation, with predominant interstitial infiltration (15 cases, 55.6%), followed by sinusoidal infiltration (3 cases), diffuse infiltration (6 cases, 22.2%), mixed infiltration (interstitial and focal, 3 cases, 11.1%), focal infiltration (2 cases, 7.4%), and nodular infiltration (1 case, 3.7%). The proportion of tumor cells among nucleated cells ranged from 2% to 80%, with a median of 30%. The tumor cells displayed variable morphology. Hemophagocytosis was observed in 23 cases. Immunohistochemistry revealed that all cases expressed CD56, with mostly expressing cytotoxic molecules (granzyme B, TIA-1). The Ki-67 proliferative index ranged from 50% to 90%. CD56-EBER dual staining showed that NK cells were the primary targets of the virus. Reticulin staining showed increased fibrosis. By flow cytometry, all cases were positive for CD2 but negative for surface CD3 (sCD3), CD4, CD5 and CD57. Among them, 21 cases (95.5%) exhibited a typical phenotype of strong CD56 expression (CD56str+) with CD16 negativity (CD16-), while only one case (4.5%) showed CD16 positivity (CD16+) with dim CD56 expression (CD56dim). In killer-cell immunoglobulin-like receptor (KIR) analysis, 6 out of 17 patients (6/17) demonstrated monoclonal expression, including CD158a (4/6), CD158i (1/6), and CD158e (1/6); the remaining 11 cases (11/17) showed complete absence of KIR expression. All tested cases (17/17) were negative for T-cell receptor (TCR) protein expression. Follow-up period was from 257 days, 1 patient was lost to follow-up, and the remaining 26 patients died. Kaplan-Meier analysis revealed that OS was significantly longer in patients who received chemotherapy compared to those who did not ( P<0.05). Univariate Cox proportional hazards model analysis indicated that age, bone marrow proliferation, proportion of tumor cells among nucleated cells, absolute neutrophil count, platelet count, and triglycerides and bilirubin levels significantly affected OS ( P<0.05). Multivariate COX regression analysis identified triglycerides and bilirubin levels as independent prognostic factors for OS. Conclusion:Aggressive natural killer-cell leukemia is a rare lymphoid malignancy with very poor prognosis. Tumor cells exhibit significant morphological variation, and bone marrow infiltration patterns are diverse. Accurate recognition, early diagnosis, and timely chemotherapy are critical to improving the prognosis of patients with ANKL.

Objective:To evaluate the efficacy and long-term outcomes of fludarabine, cyclophosphamide, and rituximab (FCR) in treatment-na?ve patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) .Methods:Clinical data from 68 CLL/SLL patients treated with FCR at Jiangsu Province Hospital (August 2008–May 2021) were retrospectively analyzed to assess efficacy, safety, and survival outcomes.Results:Among 68 patients [46 males, 22 females; median age 55 (47, 60) years], 13.1% (8/61) had a complex karyotype, 32.3% (20/62) had immunoglobulin heavy variable region mutated (IGHV-M) type, 6.6% (4/61) had del (17p), and 14.8% (8/54) had del (11q). Patients received a median of 6 (4, 6) FCR cycles. The overall response rate was 88.2% (60/68), including 47.0% (32/68) complete remissions. Over a median follow-up of 82 (59, 98) months, 66.2% (45/68) experienced disease progression. Median progression-free survival was 56 (21, 123) months, while median overall survival was not reached. The 5- and 10-year PFS rates were 42.6% (95% CI: 31.9–56.8% ) and 28.7% (95% CI: 19.0–43.4% ), respectively. Poor PFS was associated with del (17p) ( HR=5.04, 95% CI: 1.72–14.74, P=0.003), del (11q) ( HR=5.27, 95% CI: 2.11–13.15, P<0.001), IGHV unmutated (IGHV-UM) ( HR=4.11, 95% CI: 1.72–9.79, P=0.001), complex karyotype (CK) ( HR=3.53, 95% CI: 1.58–7.85, P=0.002), β 2-microglobulin >3.5 mg/L ( HR=2.87, 95% CI: 1.37–6.01, P=0.005). In multivariate analysis, IGHV-UM remained an independent predictor of PFS ( HR=8.63, 95% CI: 1.09–68.40, P=0.042). Sixteen patients with IGHV-M and lacking del (17p) or CK had a median PFS of 123 (58,123) months and a 5-year PFS rate of 70.7% (95% CI: 49.7–99.1% ), reaching a plateau after 5 years with no recurrences by 10 years. Common grade 3–4 adverse events included hematologic toxicity (44.1%, 30/68), infection (36.7%, 25/68), and liver dysfunction (4.4%, 3/68). Among 25 patients receiving single-agent BTK inhibitors after FCR progression, median follow-up was 45 (26, 64) months; 36% (9/25) experienced disease progression, with a median PFS time of 55 (27, 55) months. Conclusion:First-line FCR provides durable long-term benefits for patients with IGHV-M CLL without del (17p) or CK.