Renal lymphatic vessel density is clinically relevant in kidney disease but is still assessed by slow, subjective visual estimation. We evaluated a weakly supervised, attention-based multiple-instance learning framework for automated detection and quantification of renal lymphatic vessel density on D2-40-stained whole-slide images (WSIs). Methods: Two independent internal datasets from Tongji Hospital were collected, including 198 cases of chronic kidney disease (CKD) and 50 cases of hypertensive nephropathy (HTN). All biopsies were immunohistochemically stained for D2-40 and digitized as WSIs. Pathologists provided only slide-level labels (D2-40 high vs. D2-40 low). Tissue regions were automatically segmented, tiled into patches, and encoded using a pretrained convolutional neural network. Patch embeddings were then analyzed with a clustering-constrained attention multiple-instance learning (CLAM) model. Unlike conventional multiple-instance learning (MIL) methods that only weight instances, CLAM jointly performs attention-based instance selection and instance-level clustering to distinguish positive from negative evidence within each slide, yielding more discriminative slide-level features and interpretable attention maps. Performance was compared with a classic MIL model trained on the same features. Results: CLAM achieved area under the receiver operating characteristic curves of 0.942 and 0.858 on the CKD and HTN datasets, respectively, outperforming classic MIL (0.866 and 0.801). Attention maps highlighted lymphatic-rich regions consistent with renal pathologists’ assessments. Conclusions: This clustering-constrained, attention-based weakly supervised framework enables fully automated, reproducible quantification of renal lymphatic vessel density from WSIs, providing renal pathologists with rapid visual and numerical support for diagnosis and risk stratification in CKD and HTN.

BackgroundThe prevalence， disability rate and mortality rate of cerebral small vessel disease （CSVD） are relatively high among the elderly population， imposing a heavy burden on families and society. Among the various clinical manifestations of CSVD， cognitive impairment is the most common， and it is also the most closely related neuro-psychiatric syndrome to clinical practice in psychiatry. Previous studies on CSVD-related cognitive impairment （CSVD-CI） have mostly focused on the field of imaging， while studies on non-invasive electrophysiological and cerebral hemodynamic assessments are relatively scarce. ObjectiveTo analyze the characteristics of event-related potential （ERP） and functional near-infrared spectroscopy （fNIRS） in patients with CSVD-CI， and to explore their correlations with the severity of white matter lesions， in order to provide references for the objective assessment and early identification of CSVD-CI. MethodsA total of 40 patients with CSVD who met the diagnostic criteria of the Chinese Guideline for Diagnosis and Treatment of Cerebral Small Vessel Disease （2020） and had cognitive impairment， as well as were admitted to the Affiliated Hospital of North Sichuan Medical College from December 2024 to December 2025， were enrolled as the case group. Meanwhile， 40 healthy volunteers matched for gender， age and education level were recruited as the control group. Both groups underwent assessment using the Mini-Mental State Examination （MMSE）， ERP-P300 detection， and fNIRS examination. The ERP-P300 indicators， functional connectivity strength of the whole brain and cognitive-related regions of interest （ROI） in fNIRS of the two groups were compared. The severity of the patients' white matter lesions was classified as follows： the Fazekas grade I group （mild white matter lesions） and the Fazekas grades II to III group （moderate to severe white matter lesions）. Spearman correlation analysis was employed to investigate the correlation between the Fazekas grading of brain white matter lesions and the latency of ERP-P300， as well as the strength of functional connectivity measured by fNIRS. ResultsThe MMSE score of the CSVD-CI group was lower than that of the control group （Z=-6.250， P<0.01）， and ERP-P300 lantency was significantly longer than that of the control group （t=12.291， P<0.01）. The MMSE score of the sub-group with Fazekas grade I was higher than that of the sub-groups with grades II to III （Z=-2.420， P<0.05）， and showed a shorter P300 latency than that of the sub-groups with grades II to III （Z=-4.210， P<0.01）. All the differences were statistically significant. The resting-state whole-brain functional connectivity strength in the CSVD-CI group was lower than that in the control group， and the difference was statistically significant （t=10.243， P<0.05）. Compared with the control group， the differences in the functional connectivity strength within the left premotor cortex （PMC）， right PMC， left frontopolar cortex （FPC）， right FPC， left dorsolateral prefrontal cortex （DLPFC）， right DLPFC， left orbitofrontal cortex （OFC）， and right OFC regions in the CSVD-CI group were all statistically significant （P_{FDR correction}<0.01）. The differences in the functional connectivity strength between multiple prefrontal-related brain regions between the CSVD-CI group and the control group were all statistically significant （P_{FDR correction}<0.01）. The severity of white matter lesions in CSVD-CI patients was positively correlated with the P300 latency （r_s=0.891， P<0.05）， and negatively correlated with the fNIRS functional connectivity strength （r_s=-0.359， P<0.05）. ConclusionPatients with CSVD-CI exhibit prolonged P300 latency， as well as decreased functional connectivity strength in multiple brain regions including the whole brain and the prefrontal lobe during the resting state. Moreover， these indicators are correlated with the severity of white matter lesions.

Congenital cataract(CC)is one of the important causes of visual impairment in infants and young children. Approximately 30% of cases are associated with monogenic mutations. It is one of the core diseases in pediatric blindness prevention and treatment. The maintenance of lens transparency is closely related to membrane protein-mediated intercellular communication, water transport, and the orderly arrangement of fiber cells. This review focuses on the gap junction protein genes(GJA8 and GJA3), related to lens membrane function, the major intrinsic protein gene(MIP/AQP0), and the lens intrinsic membrane protein 2 gene(LIM2), and summarizes the inheritance patterns, clinical phenotypes, and pathogenic mechanisms of related monogenic mutations. Current evidence indicates that GJA8 and GJA3 mutations mainly disrupt lens cell homeostasis by affecting gap junction channel function, protein localization, and hemichannel opening; MIP/AQP0 mutations may impair water transport and intercellular adhesion, leading to abnormal fiber cell arrangement; in addition to the classic autosomal recessive inheritance pattern, dominant LIM2 mutations may affect membrane protein complex assembly through aberrant disulfide bond formation, thereby causing lens opacification. A systematic review of the mutational characteristics and mechanisms of these genes may help clarify the role of membrane protein abnormalities in the development and progression of CC and provide a reference for molecular diagnosis, genetic counseling, and subsequent intervention research.

Objective:To investigate the expression levels and clinical significance of miR-627 and miR-448 in colorectal cancer tissues.Methods:Ninety-eight patients with colorectal cancer admitted to Xi’an Jiaotong University Affiliated Red Cross Hospital from Apr. 2019 to Apr. 2021 were gathered. Colorectal cancer tissue and adjacent tissues were collected during surgery, and the expression levels of miR-627 and miR-448 were detected by qRT-PCR. According to postoperative follow-up, patients were separated into a good prognosis group and a poor prognosis group. Kaplan-Meier survival curve was applied to analyze the relationship between miR-627, miR-448 and the prognosis of colorectal cancer patients. ROC curve was plotted to analyze the predictive value of miR-627 and miR-448 for poor prognosis in colorectal cancer. The prognostic factors of colorectal cancer patients were analyzed using COX regression.Results:There was a difference in the expression levels of miR-627 and miR-448 between colorectal cancer tissue and adjacent tissues ( P<0.05). The expression of miR-627 and miR-448 in colorectal cancer tissue was related to clinical features (TNM stage, differentiation degree, lymph node metastasis, and depth of infiltration) ( P<0.05). The survival rate of patients with high expression of miR-627 was higher than that of patients with low expression ( χ2=10.050, P<0.05); the survival rate of patients with high expression of miR-448 was higher than that of patients with low expression ( χ2=9.033, P<0.05). The expression levels of miR-627 and miR-448 in the poor prognosis group were greatly lower than those in the good prognosis group ( P<0.05). According to the ROC curve, the AUC of miR-627 in predicting poor prognosis of colorectal cancer was 0.811, the AUC of miR-448 in predicting poor prognosis of colorectal cancer was 0.772, and the AUC of combination of the two in predicting poor prognosis of colorectal cancer was 0.859. The combination of the two was better than their individual predictions (Z combination vs. miR-627=2.538, Z combination vs. miR-448=2.572, P<0.05). Multivariate COX regression found that miR-627, miR-448, and clinical features (TNM stage, degree of differentiation, lymph node metastasis, and depth of infiltration) were risk factors affecting the prognosis of colorectal cancer patients ( P<0.05) . Conclusion:The expression levels of miR-627 and miR-448 in colorectal cancer tissues were greatly reduced. The combination of the two is related to the clinical characteristics and prognosis of patients, and can greatly improve the predictive value for prognosis of colorectal cancer patients.

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.

Objective:To measure the narrative medicine ability of medical students and evaluate the effectiveness of reflective writing in enhancing this ability.Methods:The narrative medicine ability of medical students was measured and classified by the Narrative Medicine Ability Scale.A controlled comparative experiment was conducted in teaching practice,the control group adopted reflective writing on general topics,while the experimental group adopted reflective writing on medical topics.Writing outputs were measured from four dimensions including narrative medicine concept,knowledge,ability and perception.Results:The post-test scores of the two groups were significantly higher than the pre-test scores(P＜0.05).The improvement of medical students'reflection ability was positively correlated with the concept and perception of humanistic care,with correlation coefficients of 0.43 and 0.744,respectively(P＜0.05),showed no correlation with the ability and knowledge of humanistic care(P＞0.05).Conclusions:Reflective writing can promote the reflection ability of medical students.Reflective writing based on medical topics can enhance medical students'medical narrative concept and perception.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

Aim To establish the cells co-expressing 5-HT2C re-ceptor(5-HT2C R)and enhanced green fluorescent protein(EG-FP)-tagged nuclear factor of activated T cells 2(NFAT2)in U2OS cells.Methods The 5-HT2CR stably expressed U2OS-EGFP-NFAT2-5-HT2CR cells were screened by hygromycin B af-ter 5-HT2C plasmid was transfected into U2OS-EGFP-NFAT2 cells.The mRNA and protein expression of 5-HT2CR in the se-lected U2OS-EGFP-NFAT2-5-HT2CR cells were detected by RT-qPCR and Western blot.The activation of U2OS-EGFP-NFAT2-5-HT2CR cells was verified by nuclear translocation level assay.The effects of 5-HT,LSD,DOM,DOI,psilocybin(PSI),lisuride(LIS)on the U2OS-EGFP-NFAT2-5-HT2CR cells were detected by the high throughout screening assay.Results Among these cells,No 56 had the highest nuclear translocation function.5-HT2CR mRNA and protein were stably expressed in U2OS-EG-FP-NFAT2-5-HT2CR transfected cell line for 1-15 generations by RT-qPCR and Western blot.Vabicaserin increased the EGFP-NFAT2 nuclear translocation in U2OS-EGFP-NFAT2-5-HT2C R during 1-15 generations.The 5-HT2CR antagonist SB242084 significantly decreased EGFP-NFAT2 nuclear translocation in-duced by Vabicaserin in U2OS-EGFP-NFAT2-5-HT2CR cells.5-HT,LIS,PSI slightly increased the EGFP-NFAT2 nuclear trans-location in U2OS-EGFP-NFAT2-5-HT2C R cells,whereas LSD,DOI,DOM had no effect.Conclusions U2OS-EGFP-NFAT2-5-HT2CR cells co-expressing 5-HT2CR and EGFP-NFAT2 are es-tablished,which can be used for high throughout screening of chemicals and the study on the mechanism of the5-HT2CR.

Objective To summarize the characteristics and sources of infection risk of Bacillus cereus(B.cereus)septicemia in low birth weight(LBW)infants,and provide reference for infection prevention and control.Methods Characteristics of 3 LBW infants with B.cereus septicemia were reported and analyzed,relevant literatures were searched for systematically summarizing the characteristics and sources of infection risk of B.cereus septicemia in infants.Results Among 3 LBW infants reported in this paper,2 died and 1 was cured.No clear infection source was found in the environment through object surface sampling analysis.A total of 43 cases were reported in the pre-vious literatures,41 cases had reported on survival status,the mortality was 36.6％.The main risk factors for in-fection were auxiliary ventilation,umbilical vein catheterization or central vein catheterization and enteral feeding.In the reported 3 cases with clear sources of infection,the pathogens came from mother's milk,decoration area,sur-face of infant incubator and ultrasonic probe.Conclusion Premature LBW infants with B.cereus septicemia have high mortality and poor prognosis,which is a healthcare-associated infectious disease seriously threatening the life and health of LBW infants.Neonatal intensive care unit(NICU)and relevant departments of healthcare-associated infection(HAI)management need to pay attention to the prevention,monitoring,early detection,as well as active diagnosis and treatment of HAI caused by this bacteria.

Objective:Exploring the role and mechanism of CHMP4C in regulating necroptosis during gastric can-cer development and progression.Method:The expression of CHMP4C in pan-cancer was analyzed by bioinformatics methods,and the expression of CHMP4C was detected in human normal gastric epithelial cells and GC cell lines by RT-qPCR and Western blot.Overexpression or knockdown of CHMP4C was performed in GC cell lines,and the effects of CHMP4C on the growth and proliferation of GC cells were detected using CCK-8 and clone formation assays.The CCK-8 experiment and Hoechst/PI double staining experiment were used to detect the changes in GC cell mortality and PI positive cell ratio after treatment with the necroptsis inducer TSZ or inhibitor necrostatin-1(Nec-1).Western blot assay was used to detect the protein and phosphorylation levels of RIPK1,RIPK3,and MLKL in GC cells.Result:CHMP4C was upregulated in GC tissues and cells.The CCK-8 and clone formation experiments showed that overex-pression of CHMP4C significantly improved the proliferation ability and colony formation efficiency of GC cells,while knockdown of CHMP4C significantly weakened GC cells.Moreover,the results of CCK-8 and Hoechst 33342/PI double staining experiments showed that upregulated CHMP4C could inhibit TSZ induced GC cell death;Nec-1 can reverse the decrease in GC cell viability caused by CHMP4C knockdown.Western blot experiment showed that the levels of p-RIPK1,p-RIPK3,and p-MLKL were significantly decreased in overexpressing cells,while they were increased in knockdown cells.After treatment with Nec-1,the expression levels of these three proteins decreased in knockdown cells.Conclusion:CHMP4C may promote GC progression by negatively regulating necroptosis through inhibiting the phosphorylation of the RIPK1/RIPK3/MLKL signaling pathway,suggesting that it is expected to be a potential target for GC therapy.