Objective: To explore the network structure of middle school students basic psychological needs and psychological behavioral problems, and identify the core nodes within the network, as well as examine demographic subgroup differences, so as to provide support for targeted mental health interventions for adolescents. Methods: In September and October of 2023, a total of 2 000 junior and senior high school students were selected with multistage cluster random sampling from 8 schools in Jiaojiang District and Tiantai County, Taizhou City. An online self administered questionnaire was used to assess emotional and behavioral problems, perceived autonomy, self awareness, loneliness, and social support. The instruments included the Strengths and Difficulties Questionnaire (SDQ), Perceived Choice and Awareness of Self Scale (PCASS), Mental Health Literacy Questionnaire (MHLQ), University of California,Los Angeles Loneliness Scale (UCLA-LS), and the Multidimensional Scale of Perceived Social Support (MSPSS). A network analysis approach was employed to construct a network representing adolescents basic psychological needs and psychological behavioral problems, focusing on centrality measures and demographic subgroup differences. Results: A total of 418 students (20.9%) reported abnormal emotional and behavioral problems. Perceived autonomy and competence were negatively correlated with emotional problems (weights: 0.12, 0.14) and hyperactivity (weights: 0.10, 0.16). Social support showed negative correlation with peer relationship issues, hyperactivity, and conduct problems (weights: 0.16, 0.13, 0.10). Loneliness was positively correlated with emotional symptoms and peer relationship problems (weights: 0.28, 0.18). In the overall network, perceived relationships (social support and loneliness), emotional symptoms, and hyperactivity emerged as central nodes. Significant differences in network structure were observed between gender subgroups ( P =0.02). Girls internalizing issues were more influenced by loneliness and perceived autonomy frustration, while social support exhibited higher centrality in boys. Conclusions Perceived relationships, emotional problems, and hyperactivity are key nodes in the network of adolescents basic psychological needs and psychological behavioral problems. Loneliness demonstrates a prominent influence within the network, and the overall network exhibits gender differences.

Objective To prepare monoclonal antibodies(mAbs) against the hepatitis A virus(HAV) L-A-1 strain using mouse hybridoma technology,establish and verify a double-antibody sandwich ELISA for HAV antigen quantification,so as to provide an effective detection method for monitoring antigen content during vaccine production.Methods Using HAV L-A-1 as the immunogen,five female BALB/c mice were immunized to generate monoclonal antibody hybridoma cell lines through mouse hybridoma cell fusion technology.Ascites was prepared by in vivo induction in mice,and monoclonal antibodies were purified by Protein A affinity chromatography.The monoclonal antibodies were determined for the titers by indirect ELISA,analyzed for the purity by 12% SDS-PAGE,verified for the specificity by Western blot,and measured for the relative affinities by indirect ELISA.Two monoclonal antibodies with higher relative affinities were selected as coating antibody and enzyme-labeled antibody,respectively,and the optimal working concentrations were determined by checkerboard titration to establish a detection protocol.The method was validated for specificity,lower detection limit,linear correlation,accuracy and precision,and was preliminarily applied to the analysis of three batches of test samples.Results Four HAV hybridoma cell lines were successfully screened: 2G3,5F6,4E2,and 2A4.After purification,the titers were measured to be 10~(-6)-10~(-7),with all the purity exceeding 95%.All the four monoclonal antibodies could specifically bind to HAV VP1 protein,and the relative affinities were ranked as follows: 2A4 > 5F6 > 4E2 > 2G3.Using 2A4 as the coating antibody and5F6 as the enzyme-labeled antibody,the optimum working concentrations were 10 μg/mL and 2 μg/mL,respectively.The method detected no cross-reactivity with human diploid cell supernatant,newborn bovine serum and human serum albumin.The lowest detection limit for HAV antigen was 0.136 7 IU/mL,with a linear range of 0.136 7 to 8.75 IU/mL,R~2> 0.97.The accuracy validation showed a recovery rate of 92.7% to 103.0% for viral antigen detection.The intra-assay and interassay coefficients of variation(CVs) in precision verification were 0.89%-2.27% and 0.33%-2.65%,respectively.The antigen content in three batches of test samples showed a linear correlation with the dilution factor.Conclusion The HAV mouse monoclonal antibodies were successfully prepared and the double-antibody sandwich ELISA method was established,which was stable and could accurately detect the antigen content,providing effective data for the control of antigen content in the production of hepatitis A vaccine.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Drug development encompasses multiple processes, wherein protein subcellular localization is essential. It promotes target identification, treatment development, and the design of drug delivery systems. In this research, a deep learning framework called LocPro is presented for predicting protein subcellular localization. Specifically, LocPro is unique in (a) combining protein representations from the pre-trained large language model (LLM) ESM2 and the expert-driven tool PROFEAT, (b) implementing a hybrid deep neural network architecture that integrates convolutional neural network (CNN), fully connected (FC) layer, and bidirectional long short-term memory (BiLSTM) blocks, and (c) developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels. Additionally, a dataset was curated and divided using a homology-based strategy for training and validation. Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction. The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization. All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.

Objective:To investigate the efficacy and safety of allogeneic hematopoietic stem cell transplantation (allo-HSCT) for the treatment of BCR::ABL-negative chronic neutrophilic leukemia (CNL) and MDS/MPN with neutrophilia.Methods:This study retrospectively analyzed 12 cases of CNL and MDS/MPN with neutrophilia that underwent allo-HSCT from March 2017 to June 2024, comprising 7 males and 5 females with a median age of 48 ( IQR: 28, 59) years. The 2-year overall survival (OS), disease-free survival (DFS), cumulative incidence of relapse (CIR), and transplantation-related mortality (TRM) rates were analyzed. Complications were also assessed. Results:Of the 12 patients, 6 received matched sibling HSCT and 6 received haploidentical HSCT. All patients had successful engraftment, and the median times of neutrophil and platelet engraftment were 17 ( IQR: 11, 24) days and 15 ( IQR: 9, 28) days, respectively. Grade Ⅱ–Ⅳ acute graft versus host disease (GVHD) and chronic GVHD occurred in 2 and 4 cases, respectively. The 2-year OS, DFS, CIR, and TRM rates were (65.6 ± 16.4) %, (41.7 ± 16.6) %, (47.2 ±18.2) %, and (11.1 ± 11.4) %, respectively, after a median follow-up time of 637 ( IQR: 330, 943) days. One patient died from treatment-related complications due to respiratory failure caused by coronavirus disease 2019. Two patients died due to relapse. Conclusion:Allo-HSCT can be applied as a safe and effective approach to treat CNL and MDS/MPN with neutrophilia.

To investigate the feasibility and advantages of "Axis Coordinate Localization Method" combined with total endoscopic technique for parotid surgery. A total of 31 patients with parotid gland tumors who were admitted to the First Affiliated Hospital of Zhengzhou University from January 2022 to August 2024 were included in this study. The cohort comprised 11 males and 20 females, with age of (38.9±13.9) years and a maximum tumor diameter of (19.34±6.89) mm. Among these cases, 93.5% (29/31) involved the superficial lobe and 6.5%(2/31) the deep lobe of the parotid gland. The "axial" localization method was utilized to plan the surgical approach: establishing a coordinate system with the earlobe as the origin, the surface projection of the parotid duct as the x-axis, and a perpendicular line through the origin as the y-axis. The incision type-pre-tragal, retroauricular groove, or postauricular hairline-was selected according to the position of the tumor′s surface projection center within this coordinate system. All operations were performed using a complete endoscopic technique for tumor and glandular tissue resection. Postoperative facial nerve function was assessed with the House-Brackmann grading scale, while patient incision satisfaction, impact on work and daily life, and facial symmetry were quantitatively evaluated using a Numerical Rating Scale (10-point system).　All 31 patients successfully underwent the procedure. Short-term postoperative complications included temporary facial paralysis in 1 case (3.2%), periauricular numbness in 1 case (3.2%), surgical site effusion in 1 case (3.2%), and subcutaneous hematoma in 1 case (3.2%). All complications resolved after appropriate management. During follow-up, there were no instances of sialocele, Frey syndrome, incision infection, or tumor recurrence. Patient ratings were as follows: incision satisfaction (9.42±0.78), impact of surgery on daily life (1.32±0.60), and facial symmetry (9.29±0.78). The one case of temporary facial paralysis recovered 3 months after surgery. The combination of the "Axial" localization method and fully endoscopic technique demonstrates clear clinical feasibility in parotid tumor resection. This approach enables rapid and personalized incision selection based on tumor location, while the endoscopic minimally invasive technique reduces tissue trauma, improves cosmetic outcomes, and enhances surgical safety. It provides a new minimally invasive treatment pathway for patients with benign parotid tumors.

Objective:To evaluate the long-term clinical efficacy and the influence on anal function of surgery combined with ustekinumab (UST) in active Crohn's disease (CD) patients with perianal fistula.Methods:A retrospective cohort study was conducted. Clinical data of active CD patients with perianal fistula undergoing surgery combined with UST at Longhua Hospital of Shanghai University of Traditional Chinese Medicine from August 2020 to December 2022 were collected. The primary endpoints were clinical healing rate, Wexner score, and anorectal manometry values at week 52 of treatment. Secondary endpoints included the Crohn's disease activity index (CDAI), perianal Crohn's disease activity index (PDAI), laboratory indicators [C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), fecal calprotectin (FC) ], endoscopic remission rate, Van Assche score, and radiographic healing rate at week 52 of treatment.Results:A total of 28 patients were included, with 22 males (78.6%) and 6 females (21.4%) ; age (25.2 ± 7.7) (16.0-52.0) years. There was 1 patient (3.6%) of simple anal fistula. There were 27 patients (96.4%) of complex anal fistulas, including 12 of high intersphincteric type, 15 of high transsphincteric type, in which 15 with branched tracts (or ≥2 fistula tracts). The pre-treatment CDAI was 187.0 (156.0, 245.0), and the PDAI was 10.0 (9.0, 12.0). Among the 28 patients, 23 (82.1%) underwent fistulotomy, 1 (3.6%) underwent transanal opening of intersphincteric space (TROPIS), and 4 (14.3%) underwent video-assisted anal fistula treatment (VAAFT) combined with fistula-tract laser closure (FiLaC). All the patients received UST treatment postoperatively, without concurrent use of immunosuppressants or corticosteroid therapy. At week 52 of treatment, 28 (100%) patients achieved clinical healing. Compared to pre-treatment, Wexner score of patients at week 52 of treatment was significantly lower [0 (0, 0) vs. 1.0 (0, 3.0), P < 0.001], maximum anal sphincter pressure increased [ (137.6±40.9) mmHg vs. (105.1±29.2) mmHg, P < 0.001], maximum anal sphincter contraction time extended [9.0 (5.0, 15.0) s vs. 4.0 (2.0, 6.0) s, P < 0.001], and there was no significant decrease in anal resting pressure ( P > 0.05). Compared to pre-treatment, CDAI, PDAI, Van Assche scores, and simple endoscopic score for Crohn's disease (SES-CD) of patients at week 52 of treatment all significantly decreased (all P < 0.001), and CRP, ESR, and FC all decreased (all P < 0.05), with statistically significant differences. The radiographic healing rate at week 52 of treatment was 75.0% (21/28), and the radiographic remission rate was 92.9% (26/28). The endoscopic remission rate was 57.1% (16/28), and the endoscopic response rate was 82.1% (23/28) . Conclusion:The long-term clinical healing rate of active CD patients with perianal fistula receiving surgery combined with UST is high, and the anal function can be improved significantly.

Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Compar-ative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.

Background::B-cell maturation antigen (BCMA)-directed chimeric antigen receptor T (CAR-T) therapy yield remarkable responses in patients with relapsed/refractory multiple myeloma (R/RMM). Circulating tumor DNA (ctDNA) reportedly exhibits distinct advantages in addressing the challenges posed by tumor heterogeneity in the distribution and genetic variations in R/RMM.Methods::Herein, the ctDNA of 108 peripheral blood plasma samples from patients with R/RMM at the First Affiliated Hospital, School of Medicine, Zhejiang University was thoroughly investigated before administration of anti-BCMA CAR-T therapy to establish its predictive potential. Flow cytometry is used primarily to detect subgroups of T cells or CAR-T cells.Results::In this study, several tumor and T cell effector-mediated factors were considered to be related to treatment failure by an integrat analysis, including higher percentages of multiple myeloma (MM) cells in the bone marrow ( P = 0.0125), lower percentages of CAR-T cells in the peripheral blood at peak ( P = 0.0375), and higher percentages of CD8 + T cells ( P = 0.0340). Furthermore, there is a substantial correlation between high ctDNA level (>143 ng/mL) and shorter progression-free survival (PFS) ( P = 0.007). Multivariate Cox regression analysis showed that high levels of ctDNA (>143 ng/mL), MM-driven high-risk mutations (including IGLL5 [ P = 0.004], IRF4 [ P = 0.024], and CREBBP [ P = 0.041]), number of multisite mutations, and resistance-related mutation ( ERBB4, P = 0.040) were independent risk factors for PFS. Conclusion::Finally, a ctDNA-based risk model was built based on the above independent risk factors, which serves as an adjunct non-invasive measure of substantial tumor burden and a prognostic genetic feature that can assist in predicting the response to anti-BCMA CAR-T therapy.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.