Autism spectrum disorder （ASD）， also known as autism， is a series of neurodevelopmental disorders characterized by social disorders and repetitive stereotyped behaviors/narrow interests. Its pathogenesis is complex， and there is a lack of effective treatment drugs， with some cases having adverse outcomes. Recent studies have consistently revealed that individuals with autism spectrum disorder （ASD） commonly exhibit characteristics such as gut microbiota dysbiosis （abnormal Bacteroidetes/Firmicutes ratio）， impaired intestinal barrier function （elevated serum levels of zonulin and LPS）， and intestinal immune dysregulation （increased pro-inflammatory cytokines including IL-6 and TNF-α）， suggesting that gastrointestinal abnormalities may influence central nervous system development through neuroendocrine， immunoregulatory， and metabolic pathways. Consequently， growing scholarly attention has focused on dietary interventions as potential approaches to alleviate clinical symptoms in children with ASD. This review systematically summarizes the role of gut microbiota and their metabolite alterations in ASD pathogenesis， along with recent advancements in understanding the microbiota-gut-brain axis mechanisms. Additionally， it elaborates on the therapeutic effects and underlying biological basis of restrictive diet therapy， modified diet therapy， and nutritional supplementation therapy in promoting the health of children with ASD. This systematic review reveals that children with ASD exhibit significant gut microbiota dysbiosis （e.g.， increased Clostridium， decreased Faecalibacterium） and abnormal metabolite profiles （e.g.， altered short-chain fatty acid spectra， elevated 4EPS levels）. These alterations exacerbate neuroinflammation and immune dysregulation through the microbiota-gut-brain axis， thereby impacting nervous system development and function. Furthermore， interventions such as ketogenic diets， camel milk， and specific nutritional supplements can alleviate certain ASD symptoms by modulating gut microbiota， restoring intestinal barrier function， and improving metabolic pathways. Future investigations should aim to create multi-omics evaluation systems for pinpointing potential beneficiaries， devise individualized intervention strategies rooted in microbiome characteristics， and verify their therapeutic value and safety in large-scale randomized controlled trials. These efforts are crucial to transitioning ASD treatment from symptomatic control to address disease etiology， thereby paving the way for improving prognoses.

Antibody humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic antibodies originated from animal models.Computational suggestions have long been desired,but available tools focused on immunogenicity calculation of whole antibody sequences and sequence segments,missing the individual residue sites.This study introduces Site-specific Immunogenicity for Therapeutic Antibody(SITA),a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody,but also individual residues,based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures.A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Antibody-Antibody structural complexes.On an independent testing dataset derived from 13 Antibody-Antibody structural complexes,SITA successfully predicted the epitope sites for Antibody-Antibody structures with a receiver operating characteristic(ROC)-area unver the ROC curve(AUC)of 0.85 and a precision-recall(PR)-AUC of 0.305 at the residue level.Furthermore,the SITA score can significantly distinguish immunogenicity levels of whole human antibodies,therapeutic antibodies and non-human-derived antibodies.More importantly,analysis of an additional 25 thera-peutic antibodies revealed that over 70％of them were detected with decreased immunogenicity after modification compared to their parent variants.Among these,nearly 66％antibodies successfully iden-tified actual modification sites from the top five sites with the highest SITA scores,suggesting the ability of SITA scores for guide the humanization of antibody.Overall,these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

To summarize the clinical practice of continuous medical service for patients at Shanghai Children′s Medical Center, affiliated with Shanghai Jiao Tong University School of Medicine, from September 2023 to December 2024, following the approval of its extended care qualification. This study utilized a mixed-methods research design that integrates quantitative and qualitative approaches. The quantitative study included a total of 117 subjects, with an age range of 18 to 35 years, an average age of 21.56 years, and a median age of 19 years; there were 59 males and 58 females. The disease types covered four major categories: childhood leukemia and solid tumors (68 cases), congenital structural malformations (25 cases), congenital hereditary metabolic diseases (4 cases), and rare diseases (20 cases). Among the subjects, 57.26% (67 cases) were first-time visitors to SCMC. The patients came from 20 provinces, autonomous regions, and municipalities across the country, with 88.03% (103 cases) from outside Shanghai. The treatment outcomes showed improvement or cure in 80.34% (94 cases) of the subjects, and there were no medical complaints. In addition, a qualitative study was conducted to deeply explore the experiences, confusions, and challenges of receiving or implementing continuous medical services from the perspectives of patients and their families, as well as medical staff. According to the inclusion and exclusion criteria, a total of 44 subjects were included in the study, among them, there were 12 patients, 12 family members who were taking care of the patients in SCMC, and 20 corresponding medical staff members. The results of the qualitative study showed that trust in the attending physicians of the children′s specialty hospital, a good doctor-patient relationship, satisfactory treatment outcomes, and support from medical insurance policies are the main driving forces for patients over 18 years old to receive continuous treatment at children′s specialty hospitals. The medical staff of the hospital also believed that this model can promote patient benefits. In conclusion, under the policy support of the Shanghai Municipal Health Commission, the "Six Fixed" Model for continuous treatment established by SCMC has achieved certain positive results in practice. This provides practical references for the development of continuous treatment in China and offers new strategies for the application of preventive medicine in the field of children′s health.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

Bacterial biofilms can make traditional antibiotics impenetrable and even promote the development of antibiotic-resistant strains. Therefore, non-antibiotic strategies to effectively penetrate and eradicate the formed biofilms are urgently needed. Here, we demonstrate the development of self-propelled biohybrid microrobots that can enhance the degradation and penetration effects for Pseudomonas aeruginosa biofilms in minimally invasive strategy. The biohybrid microrobots (CR@Alg) are constructed by surface modification of Chlamydomonas reinhardtii (CR) microalgae with alginate lyase (Alg) via biological orthogonal reaction. By degrading the biofilm components, the number of CR@Alg microrobots with fast-moving capability penetrating the biofilm increases by around 2.4-fold compared to that of microalgae. Massive reactive oxygen species are subsequently generated under laser irradiation due to the presence of chlorophyll, inherent photosensitizers of microalgae, thus triggering photodynamic therapy (PDT) to combat bacteria. Our algae-based microrobots with superior biocompatibility eliminate biofilm-infections efficiently and tend to suppress the inflammatory response in vivo, showing huge promise for the active treatment of biofilm-associated infections.

Antibody (Ab) humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic Abs originated from animal models. Computational suggestions have long been desired, but available tools focused on immunogenicity calculation of whole Ab sequences and sequence segments, missing the individual residue sites. This study introduces Site-specific Immunogenicity for Therapeutic Antibody (SITA), a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody, but also individual residues, based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures. A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Ab-Ab structural complexes. On an independent testing dataset derived from 13 Ab-Ab structural complexes, SITA successfully predicted the epitope sites for Ab-Ab structures with a receiver operating characteristic (ROC)-area unver the ROC curve (AUC) of 0.85 and a precision-recall (PR)-AUC of 0.305 at the residue level. Furthermore, the SITA score can significantly distinguish immunogenicity levels of whole human Abs, therapeutic Abs and non-human-derived Abs. More importantly, analysis of an additional 25 therapeutic Abs revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. Among these, nearly 66% Abs successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. Overall, these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

To summarize the clinical practice of continuous medical service for patients at Shanghai Children′s Medical Center, affiliated with Shanghai Jiao Tong University School of Medicine, from September 2023 to December 2024, following the approval of its extended care qualification. This study utilized a mixed-methods research design that integrates quantitative and qualitative approaches. The quantitative study included a total of 117 subjects, with an age range of 18 to 35 years, an average age of 21.56 years, and a median age of 19 years; there were 59 males and 58 females. The disease types covered four major categories: childhood leukemia and solid tumors (68 cases), congenital structural malformations (25 cases), congenital hereditary metabolic diseases (4 cases), and rare diseases (20 cases). Among the subjects, 57.26% (67 cases) were first-time visitors to SCMC. The patients came from 20 provinces, autonomous regions, and municipalities across the country, with 88.03% (103 cases) from outside Shanghai. The treatment outcomes showed improvement or cure in 80.34% (94 cases) of the subjects, and there were no medical complaints. In addition, a qualitative study was conducted to deeply explore the experiences, confusions, and challenges of receiving or implementing continuous medical services from the perspectives of patients and their families, as well as medical staff. According to the inclusion and exclusion criteria, a total of 44 subjects were included in the study, among them, there were 12 patients, 12 family members who were taking care of the patients in SCMC, and 20 corresponding medical staff members. The results of the qualitative study showed that trust in the attending physicians of the children′s specialty hospital, a good doctor-patient relationship, satisfactory treatment outcomes, and support from medical insurance policies are the main driving forces for patients over 18 years old to receive continuous treatment at children′s specialty hospitals. The medical staff of the hospital also believed that this model can promote patient benefits. In conclusion, under the policy support of the Shanghai Municipal Health Commission, the "Six Fixed" Model for continuous treatment established by SCMC has achieved certain positive results in practice. This provides practical references for the development of continuous treatment in China and offers new strategies for the application of preventive medicine in the field of children′s health.

Objective:This study aimed to analyze the prognostic risk factors for hepatoid adenocarcinoma of the stomach (HAS) and construct two nomogram-based clinical prediction models to predict overall survival (OS) and recurrence-free survival (RFS) in patients with HAS.Methods:Data were retrospectively collected from 82 patients (64 males, 18 females; mean age 60.3 ± 9.4 years) who underwent radical gastrectomy and were pathologically diagnosed with gastric hepatoid adenocarcinoma at the First Medical Center of the PLA General Hospital between February 2006 and September 2023. Statistical analyses were conducted using SPSS 25.0 and R 4.3.2. Survival analyses were performed using the Kaplan-Meier method, and univariate analyses were used to identify clinical and pathological factors associated with prognosis. Variables with P<0.05 in the univariate analysis were included in multivariate Cox regression models to identify independent risk factors for OS and RFS. These factors were incorporated into the prediction models to construct nomograms. The discriminatory power of the models was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) analyses, while calibration curves, decision curve analysis (DCA), and comparisons with the 8th edition of the TNM staging system of the American Joint Committee on Cancer (AJCC) were employed to evaluate model performance. Results:Among the 82 patients, 36 (43.9%) exhibited vascular infiltration, 61 (74.4%) had nerve infiltration, and lymph node metastasis was observed in 60 cases (73.2%). Pathological stages I, II, III, and IV were distributed as 11 (13.4%), 26 (31.7%), 44 (53.7%), and 1 (1.2%) cases, respectively. Inflammatory markers included neutrophil-to-lymphocyte ratio (NLR) ≥ 4.33 in 22 cases (26.8%), platelet-to-lymphocyte ratio (PLR) ≥ 142.2 in 50 cases (61.0%), monocyte-to-lymphocyte ratio (MLR) ≥ 0.411 in 22 cases (26.8%), α-fetoprotein (AFP) ≥ 2.48 μg/L in 64 cases (78.0%), and C-reactive protein (CRP) ≥ 7.506 mg/L in 12 cases (14.6%). Among the 82 patients, 3 cases (3.6%) were lost to follow-up. The median follow-up time was 52 (range: 8–147) months, with a median OS of 61(2–147) months. The 1-year and 3-year OS rates were 78.5% and 58.5%, respectively, while the 1-year and 3-year RFS rates were 77.3% and 60.3%, respectively. Multivariate analysis identified several independent risk factors influencing OS in patients with HAS: advanced pathological stage, MLR ≥ 0.411, AFP ≥ 2.545 μg/L, and CRP ≥ 7.51 mg/L. The hazard ratios (HRs) and 95% confidence intervals (CIs) were as follows: 5.218 (1.230–22.143), 2.610 (1.287–5.294), 2.950 (1.013–8.589), and 2.594 (1.145–5.877), respectively (all P < 0.05). For RFS, advanced pathological stage, PLR ≥ 152.0, and MLR ≥ 0.411 were independent risk factors, with HRs (95% CIs) of 4.735 (1.080–20.760), 3.759 (1.259–11.226), and 2.714 (1.218–6.048), respectively (all P < 0.05). The AUC values for OS prediction at 1 year, 3 years, and 5 years were 0.7765, 0.7525, and 0.7702, respectively. For RFS, the AUC values were 0.7304, 0.8137, and 0.8307 at 1 year, 3 years, and 5 years, respectively. The calibration curves demonstrated strong agreement between nomogram- predicted outcomes and observed survival data. DCA indicated that both TNM staging and the nomogram-based clinical prediction models provided a net positive benefit in predicting OS and RFS in HAS patients, with the nomogram model demonstrating superior performance. Conclusion:The nomogram-based clinical prediction models developed in this study demonstrated robust performance in predicting long-term OS and RFS in patients with HAS.

OBJECTIVE To study the protective effect of saikosaponin b2(SSb2)on corticosterone(CORT)induced PC12 cell injury and its mechanism.METHODS ① PC12 cells were divided into the cell control group(24 h of culture with RPMI-1640 medium),CORT group(24 h of culture with CORT 100-800 μmol·L-1)and SSb2 group(24 h of culture with SSb2 1.5625,3.125,6.25,12.5,25,50 and 100 μmol·L-1).MTT assay was used to detect the cell survival rate.②PC12 cells were divided into the cell control group(24 h of culture with RPMI 1640 medium),model group(24 h of culture with CORT 400 μmol·L-1),and model+SSb2 group(3 h pretreatment with SSb2 1.5625,3.125,6.25,12.5 and 25 μmol·L-1,removal of the supernatant before cells were co-incubated with CORT 400 μmol·L-1 and corresponding concentrations of SSb2 for 24 h).MTT assay was used to detect the cell survival rate while micro-plate assay was used to detect the lactate dehydrogenase(LDH)leakage rate of PC12 cells.③PC12 cells were divided into the cell control group,model group and model+SSb2 12.5 μmol·L-1 group.AnnexinV-FITC/PI flow cytometry assay was used to detect PC12 cell apoptosis,ultra-perfor-mance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS)cell metabonomics was used to detect metabolic profile changes and colorimetric assay was employed to detect the glutamic acid content and glutaminase activity in PC12 cells.RESULTS Compared with the cell control group,the cell viability decreased to(55±6)%(P<0.01)when the concentration of CORT was 400 μmol·L-1.When the concentration of SSb2 was higher than 50 μmol·L-1,there was significant toxicity to PC12 cells(P<0.01).②Compared with the cell control group,the cell survival rate was signif-icantly decreased(P<0.01),while the release rate of LDH was significantly increased(P<0.01)in the model group.Compared with the model group,the cell survival rate significantly increased(P<0.05,P<0.01),while the LDH release rate significantly decreased(P<0.01)in the model+SSb2 group.③ Com-pared with the cell control group,cell apoptosis was significantly increased in the model group(P<0.05).Compared with the model group,cell apoptosis was significantly decreased(P<0.05)in the model+ SSb2 group.Metabolomics results show that SSb2 significantly back-regulated nine differential metabo-lites of glutamate,creatine,N-acetylaspartate,L-tyrosine,citric acid,L-isoleucine,lactic acid,glutamine and choline.Further network analysis of the key metabolites regulated by SSb2 yielded five major metabolic pathways:D-glutamine and D-glutamate metabolism,phenylalanine,tyrosine and tryptophan biosynthesis,alanine,aspartate and glutamate metabolism,tyrosine metabolism and arginine biosynthesis.Compared with the cell control group,the content of glutamate and activity of glutaminase were significantly decreased in the model group(P<0.01).Compared with the model group,the content of glutamate(P<0.01)and activity of glutaminase(P<0.05)were significantly increased in the model+SSb2 group.CONCLUSION SSb2 has a neuroprotective effect on CORT-injured PC12 cells,and the mechanism of which is related to inhibition of apoptosis and regulation of metabolic disorders.

Objective:To investigate the risk factors of pathological complete response(pCR)after neoadjuvant therapy for locally advanced gastric cancer(LAGC)and assess the value of gastric tumor markers for predicting pCR in LAGC patients.Methods:We retrospectively ana-lyzed the clinical and pathological characteristics of 213 patients who underwent radical gastrectomy and gastric tumor marker analysis after neoadjuvant therapy at The Chinse PLA General Hospital First Medical Center,between January 2020 and April 2024(20 and 193 cases in the pCR and non-pCR groups,respectively).The interrelationships among pCR,tumor markers,and clinicopathological features were compared,and independent risk factors for pCR were analyzed.A nomogram was constructed to predict the pCR.Results:Among 213 patients,20(9.4% )achieved pCR.Univariate analysis showed that age(P=0.067),tumor bed diameter(P<0.001),gastrin-17 levels(P=0.005),CA72-4 levels(P=0.073),pepsinogen ratio(P=0.024),and neoadjuvant immunotherapy(P=0.022)were strongly associated with pCR in LAGC pa-tients.Multivariate analysis showed that neoadjuvant immunotherapy,CA72-4 levels<2.5 U/mL,gastrin-17 levels<1.48 pmol/L,and tumor bed diameter<2.85 cm were independent predictive factors for pCR in LAGC patients(P<0.05).These indicators were incorporated into a nomogram prediction model;an receiver operating characteristic curve(ROC)was plotted with an AUC(95% CI)of 0.863(0.785-0.942).The calibration and decision curves suggested that the nomogram was well calibrated and had a good net benefit.Conclusions:Gastric tumor markers can effectively predict pCR after neoadjuvant therapy in LAGC patients.Our nomogram showed a good predictive ability for pCR.Thus,our findings can serve as a useful reference for clinical decision making for LAGC patients.