Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

McCune-Albright syndrome(MAS) is a postzygotic somatic mutation disorder caused by activating mutations in the GNAS gene, which encodes the α subunit of the stimulatory G protein. Its clinical features typically include polyostotic fibrous dysplasia, cafe-au-lait skin pigmentation, and endocrine hyperactivity, such as Cushing′s syndrome, hyperthyroidism, and growth hormone excess. Here, we report two rare cases of MAS complicated with adrenocorticotropic hormone(ACTH)-independent Cushing syndrome, and provide a review and analysis of previously reported MAS cases associated with Cushing′s syndrome.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Objective:To investigate long-term auditory changes and characteristics of Alport syndrome（AS） patients with different degrees of renal injury. Methods:Retrospectively analyzing clinical data of patients diagnosed AS from January 2007 to September 2022, including renal pathology, genetic detection and hearing examination. A long-term follow-up focusing on hearing and renal function was conducted. Results:This study included 70 AS patients, of which 33（25 males, 8 females, aged 3.4-27.8 years） were followed up, resulting in a loss rate of 52.9%.The follow-up period ranged from 1.1to 15.8 years, with 16 patients followed-up for over 10 years. During the follow-up, 10 patients presenting with hearing abnormalities at the time of diagnosis of AS had progressive hearing loss, and 3 patients with new hearing abnormalities were followed up, which appeared at 5-6 years of disease course. All of which were sensorineural deafness. While only 3 patients with hearing abnormalities among 13 patients received hearing aid intervention. Of these patients,7 developed end-stage renal disease（ESRD）, predominantly males （6/7）. The rate of long-term hearing loss was significantly different between ESRD group and non-ESRD group（P=0.013）. There was no correlation between the progression of renal disease and long-term hearing level（P>0.05）. kidney biopsies from 28 patients revealed varying degrees of podocyte lesion and uneven thickness of basement membrane. The severity of podocyte lesion was correlated with the rate of long-term hearing loss（P=0.048）, and there was no correlation with the severity of hearing loss（P>0.05）. Among 11 cases, theCOL4A5mutationwas most common （8 out of 11）, but there was no significant correlation between the mutation type and hearing phenotype（P>0.05）. Conclusion:AS patients exhibit progressive hearing loss with significant heterogeneity over the long-term.. THearing loss is more likely to occur 5-6 years into the disease course. Hearing abnormalities are closely related to renal disease status, kidney tissue pathology, and gene mutations, emphasizing the need for vigilant long-term hearing follow-up and early intervention.
Male ; Child ; Female ; Humans ; Nephritis, Hereditary/pathology* ; Retrospective Studies ; Kidney ; Deafness ; Hearing Loss/genetics* ; Kidney Failure, Chronic/pathology* ; Mutation

Objective:To study the molecular mechanism of functional defect of protein C (PC) caused by point mutations of human protein C gene (PROC) N355S,G392E and T314A. Methods:The wild-type and mutant plasmids (PCWT,PCN355S,PCG392E,PCT314A) of PROC gene were constructed and transiently transfected into HEK293 cells. The expression of mutant proteins in vitro were tested. The mRNA level changes of wild-type and mutant PC after 24 h of transfection were detected by real-time PCR. Western blot and ELISA were used to detect the changes of intracellular and extracellular protein levels of wild-type and mutant PC. The supernatant of cells transfected for 24-48 h was concentrated by ultrafiltration. The protein in the concentrated solution was quantified,and PC activation and enzyme kinetics tests were performed. Clustal Omega multiple sequence alignment was used to analyze the conservation of amino acid mutation sites. The effect of mutation on PC protein structure was analyzed by PyMOL software. Results:The relative expression abundances of PROC mRNA in PCN355S,PCG392E and PCT314A groups were 1.14±0.46,0.96±0.08 and 1.08±0.17,respectively,and there were no significant differences compared with 1.02±0.24 in PCWT group (P>0.05). Western blot analysis of the lysates of transfected cells showed that the content of PCT314A recombinant protein slightly decreased and the band became relatively lighter. The ELISA results of the concentrated cell culture supernatants showed that the PC:Ag levels of PCN355S and PCG392E were 98.8％±2.4％ and 101.4％±3.1％,respectively,with no significant differences compared with PCWT,while PCT314A decreased compared with PCWT (PC:Ag:88.6％±3.2％) (P<0.05). The results of enzyme kinetics test showed that APCN355S (Km=338.3±43.2,Vmax=2.015±0.12),APCG392E (Km=292.2±28.4,Vmax=1.893±0.07) and APCT314A (Km=299.5±24.6,Vmax=1.775±0.06) showed an increase in Km and a decrease in Vmax compared with APCWT (Km=238.2±4.58,Vmax=3.205±0.06). Multiple sequence alignment suggested that the three mutations be highly conservative in different species. The structural model suggested that the amino acid substitutions of N355S,G392E and T314A mutations collide with the surrounding amino acid groups,causing distortion of the surrounding structure,which may have adverse effects on the folding and biological function of PC. Conclusion:The N355S,G392E and T314A mutations in the PROC gene cause functional defects in PC by weakening the binding between PC and substrate. These three mutations have caused serious spatial collisions in the protein structure,affecting the folding of PC and the reactivity of active sites.

Adequate inflammation can effectively eliminate harmful substances and prevent disease as a self-protective measure to prevent further damage to the body,while abnormally activated inflammation is detrimental to the body.Nucleotide binding and oligomerization domain-like receptor protein 3(NLRP3)inflammasome that participates in inflammatory responses are closely related to many physiological and pathological processes and play an important role in the occurrence and development of pulmonary diseases.This article mainly reviewed the activation mechanism and hypothesis of NLRP3 inflammasome,as well as the research on treating respiratory diseases by interfering with NLRP3 inflammasome.

OBJECTIVE: To develop monoclonal antibodies that can specifically recognize human von Willebrand factor (VWF) propeptide (VWFpp) in plasma, and establish a rapid and reliable method for the detection of VWFpp antigen in plasma by using the double-antibody sandwich ELISA with the obtained anti-VWFpp monoclonal antibody. METHODS: The recombinant human VWFpp (D1 and D2 regions) protein expressed in eukaryotic cells was used as immunogen to immunize BALB/c mice with routine method, so as to obtain clones of fusion cells. After screening and identification, hybridoma cell lines secreting monoclonal antibodies against VWFpp were selected, and then double-antibody sandwich ELISA assay was used to construct VWFpp antigen detection kit for the determination of VWFpp in human plasma. The levels of VWFpp antigen in plasma of 12 leukemia patients who underwent bone marrow transplantation were dynamically detected. RESULTS: Two hybridoma cell lines that can be subcultured continuously and secrete monoclonal antibodies against VWFpp were obtained and named SZ175 and SZ176 respectively. Identified by ELISA and Western blot, the antibodies could both specifically recognize VWFpp but couldn't recognize mature VWF (without propeptide). Based on the principle of double-antibody sandwich ELISA, monoclonal antibodies SZ175 and SZ176 were successfully made into a kit for detecting VWFpp antigen. The plasma VWFpp levels of leukemia patients before and after bone marrow transplantation were dynamically detected. The results showed that the plasma VWFpp levels of the patients after transplantation were significantly higher than those before transplantation. CONCLUSION Two monoclonal antibodies against VWFpp were successfully prepared, and a double-antibody sandwich ELISA detection kit for VWFpp antigen was constructed, which provides a powerful tool for further study on the biological function of VWFpp, the clinical diagnosis and classification of von Willebrand disease (VWD), and the prognostic monitoring of endothelial injury-related diseases.
Animals ; Mice ; Humans ; von Willebrand Factor ; Antibodies, Monoclonal ; Protein Precursors/metabolism* ; von Willebrand Diseases/diagnosis* ; Prognosis

Animals ; Schistosoma japonicum ; Colitis, Ulcerative

OBJECTIVE: To investigate whether co-transfection of wild-type VWFpp with VWF mutant in D1 region is able to correct VWF defects in biosynthesis and secretion. METHODS: Four VWF mutant plasmids were single transfected into HEK 293 cells, or co-transfected into HEK 293 cells with the wild type VWFpp plasmids. The VWF in supernatant and lysate of transfected cells were analyzed by ELISA, vertical VWF multimer electrophoresis. The retention of VWF in endoplasmic reticulum of transfected cells were detected by immunofluorescence confocal microscope. RESULTS: In the vertical VWF multimer analysis, with co-expressing VWF mutant and VWFpp, the VWF multimer bands disappeared, and the VWF antigen in both supernatant and lysate of cells decreased, compared with the single expression of VWF mutant. Although the intracellular levels of VWF antigens decreased after co-expression, the retention rate of VWF mutant decreased in endoplasmic reticulum. CONCLUSION VWFpp can reduce the retention of VWF in endoplasmic reticulum, assists the transport of VWF between subcellular organelles. However, VWFpp inhibits the biosynthesis and secretion of VWF about the mutant in D1 domain.
HEK293 Cells ; Humans ; von Willebrand Diseases ; von Willebrand Factor/metabolism*