Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The aim of this investigation was to determine the optimal storage medium for testicular hypothermic transportation and identify the ideal concentration for the application of the protective agent 5-aminolevulinic acid (5-ALA). Furthermore, this study aimed to explore the underlying mechanism of the protective effects of 5-ALA. First, we collected and stored mouse testicular fragments in different media, including Hank's balanced salt solution (HBSS; n = 5), Dulbecco's Modified Eagle Medium/Nutrient Mixture F-12 (DMEM/F12; n = 5), and alpha-minimum essential medium (αMEM; n = 5). Storage of testicular tissue in HBSS preserved the integrity of testicular morphology better than that in the DMEM/F12 group ( P < 0.05) and the αMEM group ( P < 0.01). Testicular fragments were subsequently placed in HBSS with various concentrations of 5-ALA (0 [control], 1 mmol l -1 , 2 mmol l -1 , and 5 mmol l -1 ) to determine the most effective concentration of 5-ALA. The 2 mmol l -1 5-ALA group ( n = 3) presented the highest positive rate of spermatogonial stem cells compared with those in the control, 1 mmol l -1 , and 5 mmol l -1 5-ALA groups. Finally, the tissue fragments were preserved in HBSS with control ( n = 3) and 2 mmol l -1 5-ALA ( n = 3) under low-temperature conditions. A comparative analysis was performed against fresh testes ( n = 3) to elucidate the underlying mechanism of 5-ALA. Gene set enrichment analysis (GSEA) for WikiPathways revealed that the p38 mitogen-activated protein kinase (MAPK) signaling pathway was downregulated in the 2 mmol l -1 5-ALA group compared with that in the control group (normalized enrichment score [NES] = -1.57, false discovery rate [FDR] = 0.229, and P = 0.019). In conclusion, these data suggest that using 2 mmol l -1 5-ALA in HBSS effectively protected the viability of spermatogonial stem cells upon hypothermic transportation.
Male ; Animals ; Testis/cytology* ; Aminolevulinic Acid/pharmacology* ; Mice ; Organ Preservation/methods* ; Organ Preservation Solutions/pharmacology* ; Cryopreservation/methods*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Background and aims Cancer cachexia is prevalent in various cancers and is associated with chemotherapy toxicity. However, limited data exist on the relationship between cachexia and immune-related adverse events (irAEs). The aim of this study is to explore the correlation between cancer cachexia and irAEs and its possible mechanism. Methods A murine model of orthotopic hepatocellular carcinoma (HCC) with cachexia was developed to evaluate the impact of T-cell infiltration into multiple tumor-free organs on the occurrence of irAEs. Single-cell RNA sequencing of thymic stromal cells was performed. Additionally, patients with advanced cancers receiving anti-programmed cell death protein 1/ligand 1 (PD-1/L1) antibody treatment were followed to investigate the relationship between cachexia and irAEs. Results Inflammatory cell infiltration was observed in multiple tumor-free organs of cachexic HCC mice but not in non-cachexic controls. Immunofluorescence confirmed that the infiltrating cells included CD4+ and CD8+ T cells. Morphological assessment and hematoxylin–eosin staining revealed thymic atrophy in cachexic HCC mice. Single-cell RNA sequencing of thymic stromal cells showed a reduction in medullary thymic epithelial cells (mTECs) II and III in cachexic mice. Autoimmune regulator (Aire) downregulation was accompanied by decreased expression of tissue-restricted antigens in mTECs. T cells from cachexic HCC mice induced organ-specific inflammation and T-cell infiltration in multiple organs of tumor-free mice. Following anti-mouse PD-1 antibody treatment, the incidence of inflammation in multiple organs markedly increased in cachexic HCC mice and in tumor-free mice that had received T cells from the cachexic HCC mice. Flow cytometry and immunofluorescence analyses revealed enrichment of thymic monocytic myeloid-derived suppressor cells (M-MDSCs) in cachexic HCC mice. M-MDSCs infiltrated the thymus in cachexic mice with cancer, and they induced apoptosis of mTECs from tumor-free mice in vitro via nitric oxide production. Transfer of M-MDSCs led to inflammatory cell infiltration in multiple organs and thymic involution in tumor-free mice without affecting body weight. Sixty-four patients with advanced cancer receiving anti-PD-1/L1 therapy were enrolled. Patients who developed irAEs had higher levels of circulating M-MDSCs than those who did not. Moreover, patients with cachexia (body mass index (BMI) < 20 kg/m2 or ≥5% weight loss over the past 6 months) had elevated M-MDSC levels. Patients with both high M-MDSC levels and low BMI or weight loss ≥5% experienced more irAEs (hazard ratio: 2.333; 95% confidence interval: 1.231–4.423). Conclusions M-MDSCs in cachexic mice induced mTEC apoptosis through nitric oxide production, impairing T-cell negative selection and promoting autoimmune T-cell infiltration into tumor-free organs. Cancer cachexia-related M-MDSCs may serve as predictive biomarkers for irAEs in patients with advanced cancer. Graphical abstract

Glioblastoma (GBM) is the most common and aggressive malignant brain tumor in adults and is poorly controlled. Previous studies have shown that both macrophages and angiogenesis play significant roles in GBM progression, and co-targeting of CSF1R and VEGFR is likely to be an effective strategy for GBM treatment. Therefore, this study developed a novel and selective inhibitor of CSF1R and VEGFR, SYHA1813, possessing potent antitumor activity against GBM. SYHA1813 inhibited VEGFR and CSF1R kinase activities with high potency and selectivity and thus blocked the cell viability of HUVECs and macrophages and exhibited anti-angiogenetic effects both in vitro and in vivo. SYHA1813 also displayed potent in vivo antitumor activity against GBM in immune-competent and immune-deficient mouse models, including temozolomide (TMZ) insensitive tumors. Notably, SYHA1813 could penetrate the blood-brain barrier (BBB) and prolong the survival time of mice bearing intracranial GBM xenografts. Moreover, SYHA1813 treatment resulted in a synergistic antitumor efficacy in combination with the PD-1 antibody. As a clinical proof of concept, SYHA1813 achieved confirmed responses in patients with recurrent GBM in an ongoing first-in-human phase I trial. The data of this study support the rationale for an ongoing phase I clinical study (ChiCTR2100045380).

Coronary heart disease (CHD) and stroke are the most well-known cardiovascular diseases, which share many common pathological basis. Yindan Xinnaotong soft capsule (YDXNT) is a commonly used Chinese patent medicine in the treatment of stroke and CHD. However, its action of mechanism of co-treatment for stroke and CHD is still unclear. The aim of this study was to explore the common mechanism of YDXNT in co-treatment of CHD and stroke using network pharmacology, experimental verification and molecular docking. An integrated literature mining and databases of IPA, ETCM, HERB, Swiss Target Prediction, OMIM and GeneCards were used to screen and predict active ingredients and potential targets of YDXNT in co-treatment of CHD and stroke. The protein-protein interaction network, GO analysis and pathway analysis were analyzed by IPA software. The effect of YDXNT on core targets was verified by immunofluorescence. UPLC-QTOF/MS and molecular docking were used to screen and predict the main active constituents of YDXNT and their interactions with core targets. A total of 151 potential targets are predicted for YDXNT in co-treatment of CHD and stroke. Hypoxia-inducible factor-1α (HIF1α)-matrix metalloproteinase-9 (MMP9)-mediated HIF1α signaling pathway serves as one of the common mechanisms. YDXNT could reduce the increase of mitochondrial fluorescence intensity and the protein expression of HIF1α and MMP9 in HL-1 and HA induced by oxygen and glucose deprivation/reperfusion (OGD/R) in a dose-dependent manner. Baicalin may be the material basis for treating stroke and CHD with YDXNT. In conclusion, the HIF1α signaling pathway is one of the common key mechanisms of YDXNT in the co-treatment of stroke and CHD. The study provides support and basis for the in-depth scientific connotation of the traditional Chinese medicine theory of "same treatment to different diseases".

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

ObjectiveTo investigate the risk factors for pulmonary fungal infection in lung cancer patients， construct and validate a risk prediction model using available clinical data to predict the risk of pulmonary fungal infections in patients with lung cancer. MethodsWe conducted a retrospective study and collected information of 390 lung cancer patients treated at Zhongshan People's Hospital from January 2021 to March 2023. Demographic and clinical characteristics of the patients with and without pulmonary fungal infections were used to construct column line graphs to predict the occurrence of pulmonary fungal infections. All enrolled patients were randomly assigned to training set and internal validation set in the ratio of 7：3. For the modelling group， LASSO regression was applied to screen variables and select predictors， and multivariate logistic regression with a training set was used to construct the Noe column line graph model. The judgment ability of the model was determined by calculating the area under the curve （AUC）， and in addition， calibration analysis and decision curve analysis （DCA） were performed on the model. ResultsLASSO regression identified 14 potential predictive factors， and further logistic regression analysis showed that hepatic injury， surgery， anemia， hypoalbuminemia， illness course， invasive operation， hospital stay at least 2 weeks and glucocorticoid used for at least 2 weeks were independent predictors for the occurrence of pulmonary fungal infection in lung cancer patients. A predictive model was established based on these variables， with an AUC95%CI of 0.980 （0.973， 0.896） for the training set and an AUC95%CI of 0.956 （0.795， 1.000） for internal validation， indicating high discriminative ability. The calibration curves for both the training set and validation set were distributed along the 45°line， and the decision curve analysis （DCA） showed net benefit for threshold probabilities greater than 0.03. ConclusionsThe construction and validation of a predictive model for the risk of lung fungal infections in lung cancer patients will help clinical practitioners to identify high-risk groups and give timely intervention or adjust treatment decisions.

Objective    To analyze the surgical results of patients with supracardiac total anomalous pulmonary venous connection (TAPVC) in a single pediatric cardiac center. Methods    A retrospective study was conducted on 98 pediatric patients with supracardiac TAPVC receiving surgical repair from 2014 to 2019 in our center. There were 64 males and 34 females with a median surgical age of 3.0 (1.5, 7.0) months and a median weight of 5.0 (4.0, 6.0) kg. Twenty-three (23.5%) patients had preoperative pulmonary vein obstruction. Ninety-two (93.9%) patients received conventional surgical repair, while six (6.1%) patients were treated with the sutureless technique. The Cox regression model was used to analyze the data. Results    The median follow-up time was 26.50 (5.75, 44.25) months. There were 9 (9.2%) deaths. Lower weight at the time of repair (P=0.013) and prolonged cardiopulmonary bypass time (P=0.007) were associated with mortality. Postoperative pulmonary vein obstruction was observed in 8 (8.2%) patients. Associated risk factors for postoperative pulmonary vein obstruction included lower weight at the time of repair (P=0.042) and prolonged cardiopulmonary bypass time (P=0.002). Conclusion    Surgical repair of supracardiac TAPVC has achieved satisfactory results in our center. Risk factors such as lower weight at the time of repair and prolonged cardiopulmonary bypass time are associated with a poor prognosis.