Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objective To explore the efficacy differences between 3 Tesla magnetic resonance imaging with zero echo time(3T MRI ZTE)and high resolution computed tomography(HRCT)in the detection of pulmonary nodules and the classification diagnosis of the lung imaging reporting and data system(Lung-RADS)in sub-health populations.Methods Clinical and imaging data of 93 patients with pulmonary nodules(126 nodules in total)admitted to some hospital from July to December 2023 were retrospectively analyzed.The 126 nodules were categorized into a benign nodule group(n=51)and a malignant nodule group(n=75)using pathological findings as the gold standard.All the patients underwent examinations by 3T MRI ZTE and HRCT to compare the detection rates of the two measures for pulmonary nodules;the missed and misdiagnosis rates of 3T MRI ZTE,HRCT and Lung-RADS grading were contrasted with the postoperative pathological diagnosis results as the gold standard;comparison analyses of 3T MRI ZTE signs and HRCT signs were performed between the two groups and the patients with different Lung-RADS grades;3T MRI ZTE,HRCT and Lung-RADS grading were compared with the receiver operating characteristic(ROC)curve in terms of diagnosis efficacy for pulmonary nodules,and the consistency analysis was carried out.Results No discernible statistical variation was observed in the detection rates of pulmonary nodules between 3T MRI ZTE and HRCT(P>0.05).Lung-RADS grading had the highest rates of missed diagnosis and misdiagnosis,and 3T MRI ZTE and HRCT had similar detection rates.The malignant nodule group was different from the benign nodule group in the 3T MRI ZTE and HRCT signs in terms of lesion size,spiculation sign,lobulation sign,calcifica-tion,pleural indentation sign,cavity sign,boundary and bronchial cut-off sign,with the differences being statistically signi-ficant(all P<0.05).For the patients of Lung-RADS grade 3,the 3T MRI ZTE and HRCT signs had significant differences in terms of lesion size,spiculation sign,lobulation sign,calcification,pleural indentation sign,cavity sign and bronchial cut-off sign(all P<0.05).For the patients of Lung-RADS grade 4A,the 3T MRI ZTE and HRCT signs had significant differen-ces in terms of lesion size,calcification,boundary and bronchial cut-off sign(all P<0.05).For the patients of Lung-RADS grade 4B,the 3T MRI ZTE and HRCT signs had significant differences in terms of lesion size and calcification(all P<0.05).For the patients of Lung-RADS grade 4X,there were no significant differences found between the 3T MRI ZTE and HRCT signs(all P>0.05).HRCT had the highest sensitivity,specificity,accuracy,AUC value,predictive values and Kappa value for benign and malignant nodules,3T MRI ZTE had the values slightly lower than those of HRCT,and Lung-RADS grading had the lowest values when compared with HRCT and 3T MRI ZTE.Conclusion HRCT and 3T MRI ZTE are complementary for the evaluation of pulmonary nodules,and the differences in imaging signs between them show graded dependence.3T MRI ZTE and HRCT have no significant differences in the detection rate of pulmonary nodules,while HRCT gains advanta-ges in differentiating benign and malignant pulmonary nodules,and references are provided for the screening and clinical early diagnosis of pulmonary nodules.[Chinese Medical Equipment Journal,2025,46(9):52-59]

Objective To explore the efficacy differences between 3 Tesla magnetic resonance imaging with zero echo time(3T MRI ZTE)and high resolution computed tomography(HRCT)in the detection of pulmonary nodules and the classification diagnosis of the lung imaging reporting and data system(Lung-RADS)in sub-health populations.Methods Clinical and imaging data of 93 patients with pulmonary nodules(126 nodules in total)admitted to some hospital from July to December 2023 were retrospectively analyzed.The 126 nodules were categorized into a benign nodule group(n=51)and a malignant nodule group(n=75)using pathological findings as the gold standard.All the patients underwent examinations by 3T MRI ZTE and HRCT to compare the detection rates of the two measures for pulmonary nodules;the missed and misdiagnosis rates of 3T MRI ZTE,HRCT and Lung-RADS grading were contrasted with the postoperative pathological diagnosis results as the gold standard;comparison analyses of 3T MRI ZTE signs and HRCT signs were performed between the two groups and the patients with different Lung-RADS grades;3T MRI ZTE,HRCT and Lung-RADS grading were compared with the receiver operating characteristic(ROC)curve in terms of diagnosis efficacy for pulmonary nodules,and the consistency analysis was carried out.Results No discernible statistical variation was observed in the detection rates of pulmonary nodules between 3T MRI ZTE and HRCT(P>0.05).Lung-RADS grading had the highest rates of missed diagnosis and misdiagnosis,and 3T MRI ZTE and HRCT had similar detection rates.The malignant nodule group was different from the benign nodule group in the 3T MRI ZTE and HRCT signs in terms of lesion size,spiculation sign,lobulation sign,calcifica-tion,pleural indentation sign,cavity sign,boundary and bronchial cut-off sign,with the differences being statistically signi-ficant(all P<0.05).For the patients of Lung-RADS grade 3,the 3T MRI ZTE and HRCT signs had significant differences in terms of lesion size,spiculation sign,lobulation sign,calcification,pleural indentation sign,cavity sign and bronchial cut-off sign(all P<0.05).For the patients of Lung-RADS grade 4A,the 3T MRI ZTE and HRCT signs had significant differen-ces in terms of lesion size,calcification,boundary and bronchial cut-off sign(all P<0.05).For the patients of Lung-RADS grade 4B,the 3T MRI ZTE and HRCT signs had significant differences in terms of lesion size and calcification(all P<0.05).For the patients of Lung-RADS grade 4X,there were no significant differences found between the 3T MRI ZTE and HRCT signs(all P>0.05).HRCT had the highest sensitivity,specificity,accuracy,AUC value,predictive values and Kappa value for benign and malignant nodules,3T MRI ZTE had the values slightly lower than those of HRCT,and Lung-RADS grading had the lowest values when compared with HRCT and 3T MRI ZTE.Conclusion HRCT and 3T MRI ZTE are complementary for the evaluation of pulmonary nodules,and the differences in imaging signs between them show graded dependence.3T MRI ZTE and HRCT have no significant differences in the detection rate of pulmonary nodules,while HRCT gains advanta-ges in differentiating benign and malignant pulmonary nodules,and references are provided for the screening and clinical early diagnosis of pulmonary nodules.[Chinese Medical Equipment Journal,2025,46(9):52-59]

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

As a long-standing research focus in electroanalytic chemistry,electrochemical biosensors have attracted immense interest in detection of biological targets such as small molecules,proteins,enzymes,nucleic acids,exosomes,circulating tumor cells (CTCs),bacteria,and viruses. etc. The highly sensitive and selective electrochemical detection of biological targets relies on the use of the specific biorecognition elements (BREs) and efficient signal amplification strategies. In this review,the typically used BREs and amplification strategies in electrochemical biosensing were summarized. On the basis of the interactions between BREs and targets,the enzyme/substrate-based and receptor/ligand-based electrochemical biosensors were first introduced,focusing on the BREs used in the electrochemical detection of nucleic acid targets and non-nucleic acid targets. Then,the representative use of various isothermal nucleic acid amplification technologies,catalytic reactions,functionalized nanocarriers,and polymer materials in amplified electrochemical detection of biological targets were introduced. The challenges with respect to the practical use of electrochemical biosensors and the prospect of electrochemical biosensing were discussed.

Objective:To investigate the expression of heterogeneous nuclear ribonucleoprotein A2B1 (HNRNPA2B1) in human esophageal cancer tissues and its clinical significance.Methods:Single-cell data for esophageal cancer were downloaded from the Gene Expression Omnibus (GEO) database (GSE160269 dataset, last updated on November 29, 2020) to analyze the expression of HNRNPA2B1. Transcriptional sequencing data for esophageal cancer from The Cancer Genome Atlas (TCGA) database, including the fragments per kilobase of transcript per million mapped reads (FPKM) quantitative data (173 samples, consisting of 162 esophageal cancer tissues and 11 adjacent normal tissues), and survival data in the phenotype category were downloaded. Analysis of FPKM quantitative data from the TCGA database for esophageal cancer was performed. The top 250 genes most correlated with HNRNPA2B1 were selected and the R4.3.0 clusterProfiler package was used to conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on the selected gene set. FPKM quantitative data from the TCGA database for esophageal cancer were imported into the CIBERSORTx website to obtain immune cell abundance scores, and the correlation between HNRNPA2B1 and the degree of immune cell infiltration was analyzed. The clinicopathological data of patients from esophageal cancer tissue microarrays including 114 cases of esophageal squamous cell carcinoma tissues and 66 cases of adjacent normal tissues were collected. The patients underwent surgery from January 2006 to December 2008, and the follow-up period extended until July 2015. Cytokeratin (CK) and HNRNPA2B1 expression in esophageal cancer tissue microarrays were detected by using multi-color immunohistochemical (mIHC) staining, and multispectral tissue imaging was conducted. The R4.3.0 survival package and survminer package in TCGA database were used to calculate the optimal cut-off value of HNRNPA2B1 expression and the proportion of CK + HNRNPA2B1 + cells in tissue microarrays was used to calculate the cut-off value of HNRNPA2B1 expression based on which patients were categorized into high and low expression groups. The overall survival (OS) of both groups was compared and the factors influencing OS were analyzed by using the Cox proportional hazards model. Results:In the GSE160269 dataset of single-cell data for esophageal cancer, the expression level of HNRNPA2B1 in tumor epithelial cells was higher than that in normal epithelial cells, and HNRNPA2B1 was highly expressed in various immune cell subtypes. The high expression level of HNRNPA2B1 was positively correlated with regulatory T cells, naive B cells and memory CD4 + T cells. GO enrichment analysis revealed that HNRNPA2B1 was primarily involved in the biological process of nuclear division, cellular components were mainly enriched in chromosomal regions, and molecular functions were mainly enriched in ATP hydrolysis activity. KEGG enrichment analysis indicated that HNRNPA2B1 was primarily involved in biological processes such as the cell cycle, spliceosome, and DNA replication. Results from mIHC and multispectral tissue imaging demonstrated that CK was predominantly expressed in the cell membranes of tumor cells and normal esophageal epithelial cells, while HNRNPA2B1 was primarily expressed in the nuclei of tumor cells and normal esophageal cells. The expression level of HNRNPA2B1 in esophageal cancer tissues was higher than that in the normal paracancerous tissues ( U = 2 984.00, P < 0.05). Results of tissue microarrays and the survival analysis on the data in the TCGA database indicated that esophageal cancer patients with low HNRNPA2B1 expression had a better OS compared to those with high expression (both P < 0.05). Cox multivariate regression analysis revealed that age ( HR = 1.919, 95% CI: 1.158-3.182, P = 0.011), TNM stage ( HR = 2.404, 95% CI: 1.374-4.207, P = 0.002), T stage ( HR = 2.349, 95% CI: 1.150-4.789, P = 0.019), and the expression of HNRNPA2B1 in tumor epithelial cells ( HR = 2.160, 95% CI: 1.280-3.647, P = 0.004) were independent factors influencing OS in esophageal cancer patients. Conclusions:The high expression of HNRNPA2B1 protein in esophageal cancer tissues may play a role in the developement and progression of esophageal cancer, serving as a crucial biological indicator for prognostic assessment of esophageal cancer.

Aim To investigate the effect of quercetin(Que)on podocyte inflammatory injury and the under-lying mechanism.Methods MPC5 cells were divided into normal glucose group(NG),mannitol group(MA),high glucose group(HG)and high glucose+quercetin group(HG+Que).Cell proliferation and apoptosis were detected by CCK-8 and flow cytometry.The expression of SIRT1,STAT3,apoptosis-related proteins(Bax,Bcl-2,caspase-3)and pyroptosis pro-tein GSDME was detected by Western blot.The ex-pression levels of inflammatory factors(IL-6,TNF-α,IL-18,IL-1β)in cell supernatants were detected by ELISA.Then small interfering RNA technology was used to knockdown SIRT1 expression.To further eval-uate the biological significance of SIRT1 in response to high glucose and Que treatment,negative control group(HG+si-NC+Que)and SIRT1 interference group(HG+si-SIRT1+Que)were added in the presence of high glucose and Que.Results Compared with the high glucose group,40 μmol·L-1 Que could alleviate the apoptosis of MPC5 cells induced by high glucose,decrease the expression of apoptosis related protein Bax and caspase-3,as well as increase the expression of anti-apoptotic protein Bcl-2;ELISA results showed that Que could decrease the expression of TNF-α,IL-6,IL-1 β and IL-18 induced by high glucose.Mechanical-ly,Que could alleviate the inhibitory effect of high glu-cose on the expression of SIRT1,and further decrease the activation of STAT3 and N-GSDME,and inhibit pyroptosis.Compared with the si-NC group,si-SIRT1 group could reverse the protective effect of Que on the high glucose induced inflammatory damage of podo-cytes,the expression of apoptotic proteins Bax and caspase-3 increased,while the expression of anti-apop-totic protein Bcl-2 decreased.At the same time,the levels of inflammatory cytokines TNF-α,IL-6,IL-1 βand IL-18 in supernatants increased,and the expres-sion of STAT3 and N-GSDME increased.Conclusion Que could inhibit pyroptosis and relieve the inflam-matory damage of podocytes through SIRT1/STAT3/GSDME pathway.

OBJECTIVE: To determine the role of Tripterygium wilfordii multiglycoside (TGW) in the treatment of psoriatic dermatitis from a cellular immunological perspective. METHODS: Mouse models of psoriatic dermatitis were established by imiquimod (IMQ). Twelve male BALB/c mice were assigned to IMQ or IMQ₊TGW groups according to a random number table. Histopathological changes in vivo were assessed by hematoxylin and eosin staining. Ratios of immune cells and cytokines in mice, as well as PAM212 cell proliferation in vitro were assessed by flow cytometry. Pro-inflammatory cytokine expression was determined using reverse transcription quantitative polymerase chain reaction. RESULTS: TGW significantly ameliorated the severity of IMQ-induced psoriasis-like mouse skin lesions and restrained the activation of CD45⁺ cells, neutrophils and T lymphocytes (all P<0.01). Moreover, TGW significantly attenuated keratinocytes (KCs) proliferation and downregulated the mRNA levels of inflammatory cytokines including interleukin (IL)-17A, IL-23, tumor necrosis factor α, and chemokine (C-X-C motif) ligand 1 (P<0.01 or P<0.05). Furthermore, it reduced the number of γ δ T17 cells in skin lesion of mice and draining lymph nodes (P<0.01). CONCLUSIONS TGW improved psoriasis-like inflammation by inhibiting KCs proliferation, as well as the associated immune cells and cytokine expression. It inhibited IL-17 secretion from γ δ T cells, which improved the immune-inflammatory microenvironment of psoriasis.
Male ; Animals ; Mice ; Tripterygium ; Psoriasis/drug therapy* ; Keratinocytes ; Skin Diseases/metabolism* ; Cytokines/metabolism* ; Imiquimod/metabolism* ; Dermatitis/pathology* ; Disease Models, Animal ; Mice, Inbred BALB C ; Skin/metabolism*

The patient,a 42-year-old male,with a history of hepatitis B and membranous nephropathy,had inter-mittent fever and chills 12 days before admission.In the first 2 days after admission,the patient's condition aggra-vated with redness,swelling and pain in the left scrotum and perineum.Immediate surgical debridement was per-formed.The patient had a persistent low fever,with blood and pus cultures showing Candida albicans positive,thus was diagnosed fungal necrotizing fasciitis and pyomyositis.The patient was treated with echinocandins mica-fungin(150 mg,qd)for antifungal infection,and was given encroaching dressing change,hyperbaric oxygen thera-py,nutritional support,etc.Two months after surgery,the patient's condition improved and he was discharged.The early clinical symptoms of necrotizing fasciitis and pyomyositis caused by Streptococcus spp.infection lack spe-cificity,thus are prone to be delayed.For patients with concomitant immune diseases,attention should be paid to the prevention and early treatment of complex infection.The appropriate selection of empirical antifungal agents at the early stage has clinical significance.

The clinical data of a patient with Klinefelter syndrome (KS) complicated by partial androgen insensitivity syndrome (PAIS) was retrospectively analyzed.The patient, a 2-month-and-22-day-old baby, was admitted to Children′s Hospital Affiliated to Zhengzhou University due to abnormal external genitalia in October 2021.Upon birth, the patient exhibited abnormal external genitalia, manifested as clitoral hypertrophy.Hormonal examinations were consistent with those of peers, while chromosomal analysis revealed 47, XXY.Due to the severe undermasculinization, whole exome sequencing was conducted, indicating a heterozygous variant of the AR gene (c.1847G>A, p.Arg616His). The patient was diagnosed with PAIS, and her elder sister was diagnosed with complete androgen insensitivity syndrome.For further treatment, a multidisciplinary comprehensive evaluation is needed.This is a rare case of KS combined with PAIS, suggesting the possibility of AR gene mutations in KS children with severe undermasculinization.