Objective To evaluate an ultrasound-based deep learning radiomics nomogram(DLR_Nomo-gram)for non-invasively differentiating between type Ⅰ and type Ⅱ epithelial ovarian cancer(EOC)before surgery.Methods In this study,a cohort of 195 patients diagnosed with EOC was analyzed.Participants were randomly divided into a training set and a testing set at an 8∶2 ratio.Following data preprocessing,region of interest(ROI)delineation,feature extraction and selection,as well as the clipping and extraction of the maximum section sonogram for each sample,three initial models were developed:the radiomics signature(Rad_Sig),the deep transfer learning signature(DTL_Sig),and the clinical signature(Clinic_Sig).Subsequently,an integrated model—referred to as the DLR_Nomogram—was constructed by combining Rad_Sig,DTL_Sig,and Clinic_Sig,and was presented in the form of a nomogram.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve and the corresponding area under the curve(AUC).Results In the testing set,the DLR_Nomogram demonstrated superior predictive performance(AUC:0.951,95%CI:0.876～1.000)compared to Rad_Sig(AUC:0.709,95%CI:0.539～0.880),DTL_Sig(AUC:0.842,95%CI:0.712～0.972),and Clinic_Sig(AUC:0.916,95%CI:0.827～1.000).The Hosmer-Lemeshow goodness-of-fit test for the DLR_Nomogram resulted in a p-value exceeding 0.05,indicating adequate model calibration.Moreover,decision curve analysis revealed that the DLR_No-mogram offers a higher net clinical benefit across a defined range of threshold probabilities.Conclusions The ultrasound-based DLR_Nomogram exhibits a robust ability to differentiate between Type Ⅰ and Type Ⅱ EOC,and may serve as a valuable clinical tool for guiding individualized preoperative diagnostic and therapeutic decision-making.

Objective To evaluate an ultrasound-based deep learning radiomics nomogram(DLR_Nomo-gram)for non-invasively differentiating between type Ⅰ and type Ⅱ epithelial ovarian cancer(EOC)before surgery.Methods In this study,a cohort of 195 patients diagnosed with EOC was analyzed.Participants were randomly divided into a training set and a testing set at an 8∶2 ratio.Following data preprocessing,region of interest(ROI)delineation,feature extraction and selection,as well as the clipping and extraction of the maximum section sonogram for each sample,three initial models were developed:the radiomics signature(Rad_Sig),the deep transfer learning signature(DTL_Sig),and the clinical signature(Clinic_Sig).Subsequently,an integrated model—referred to as the DLR_Nomogram—was constructed by combining Rad_Sig,DTL_Sig,and Clinic_Sig,and was presented in the form of a nomogram.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve and the corresponding area under the curve(AUC).Results In the testing set,the DLR_Nomogram demonstrated superior predictive performance(AUC:0.951,95%CI:0.876～1.000)compared to Rad_Sig(AUC:0.709,95%CI:0.539～0.880),DTL_Sig(AUC:0.842,95%CI:0.712～0.972),and Clinic_Sig(AUC:0.916,95%CI:0.827～1.000).The Hosmer-Lemeshow goodness-of-fit test for the DLR_Nomogram resulted in a p-value exceeding 0.05,indicating adequate model calibration.Moreover,decision curve analysis revealed that the DLR_No-mogram offers a higher net clinical benefit across a defined range of threshold probabilities.Conclusions The ultrasound-based DLR_Nomogram exhibits a robust ability to differentiate between Type Ⅰ and Type Ⅱ EOC,and may serve as a valuable clinical tool for guiding individualized preoperative diagnostic and therapeutic decision-making.

With the reform of the medical and health system entering a critical period,public hospitals have also exposed new risks and challenges in economic operation.As an important means of hospital standardized management,internal control can better prevent and resolve the risk of hospital economic operation and ensure the sustainable operation of the hospital.By interpreting the requirements of current national policies on hospital internal control,it analyzes the functional positioning of financial and accounting supervision in hospital internal control,shares the internal control implementation path of sample hospitals from the perspective of financial and accounting supervision,and puts forward suggestions on strengthening internal control construction of public hospitals in the new era,in order to lay a good foundation for the high-quality development of hospitals.

Objective To explore the effects of proteasome 20S subunit beta 8(PSMB8)on the prolif-eration,migration,and invasion of clear cell renal cell carcinoma(ccRCC)cells and whether PSMB8 promotes tumor progression by activating the mitogen-activated protein kinase kinase(MEK)/extracellular signal-regula-ted kinase(ERK)signaling pathway.Methods The Cancer Genome Atlas was employed to analyze the mRNA levels of PSMB8 in ccRCC and normal tissue,and the expression levels of PSMB8 in ccRCC tissue and cells were determined by real-time quantitative PCR,Western blotting,and immunohistochemistry.Furthermore,the cell lines with stable overexpression and knockdown of PSMB8 were constructed.The CCK-8 assay and colony forma-tion assay were employed to examine the cell proliferation,and the wound healing assay and Transwell assay were employed to examine the invasion and migration of cells.Kyoto Encyclopedia of Genes and Genomes pathway enrich-ment was performed to analyze the co-expressed genes of PSMB8.Western blotting was used to measure the phospho-rylation levels of the proteins in the MEK/ERK signaling pathway.Finally,the rescue experiment was carried out with the ERK agonist C16-PAF.Results Compared with the normal tissue,the ccRCC tissue showed up-regulated mRNA and protein levels of PSMB8(both P＜0.001),which were associated with the TNM stage of patients with ccRCC(P＜0.001).Compared with the negative control group,overexpression of PSMB8 promoted the prolifera-tion(P=0.021,P=0.039),migration and invasion(all P＜0.001)of 786-O and ACHN cells,and the knock-down of PSMB8 inhibited the proliferation(P=0.022,P=0.005),migration and invasion(all P＜0.001)of 786-O and ACHN cells.The pathway enrichment analysis of co-expressed genes of PSMB8 predicted the mitogen-ac-tivated protein kinase signaling pathway(P＜0.001).After the knockdown of PSMB8,786-O and ACHN cells showed lowered phosphorylation levels of MEK1/2(P=0.017,P=0.016)and ERK1/2(P=0.010,P=0.040)and down-regulated transcription levels of ERK downstream factors c-Myc(P=0.043,P=0.038),c-Fos(P=0.025,P=0.008),and CyclinD1(P=0.006,P=0.047).Compared with the ERK agonist C16-PAF group,the PSMB8 knockdown+C16-PAF group showed inhibited proliferation(P=0.003,P=0.002),migration and invasion(all P＜0.001)of 786-O and ACHN cells.Conclusion PSMB8 may promote the proliferation,migration,and invasion of ccRCC cells by activating the MEK/ERK signaling pathway.

OBJECTIVE: To analyze the clinical features and variants of ABCD1 gene in a Chinese pedigree affected with X-linked adrenoleukodystrophy. METHODS: Clinical data of the proband were collected and analyzed. Potential variant of the ABCD1 gene were analyzed by PCR and Sanger sequencing of the proband, his parents and 100 unrelated healthy individuals. RESULTS: The prominent features of the proband included cerebellar and brainstem lesions, along with increased serum level of very-long chain fatty acids. He was found to harbor a hemizygous c.1509delG (p.L504Sfs*54) variant of the ABCD1 gene, for which his mother was heterozygous. The same variant was not detected in his father and 100 healthy controls. CONCLUSION X-linked adrenoleukodystrophy has a variety of clinical manifestations. Discovery of the c.1509delG (p.L504Sfs*54), as a novel pathogenic variant of the ABCD1 gene, has enabled diagnosis and genetic counseling for this pedigree.
Adrenoleukodystrophy/genetics* ; Asians/genetics* ; China ; Female ; Genetic Testing ; Humans ; Male ; Mutation ; Pedigree

Objective:Based on ear cartilage of congenital microtia, we tried to find the different metabolites and variational metabolic pathways on molecular level by gas chromatography time-of-flight mass spectrometry (GC-TOFMS).Methods:Patients with microtia were collected from June 2017 to January 2018. During operation, the ear cartilage tissue was collected and labeled, and the case group was residual ear cartilage tissue of the patients with microtia, with 18 cases. The control group was normal ear cartilage tissue, total 18 cases. After the sample pretreatment, based on the technique of GC-TOFMS and the software of XploreMET, the differential metabolites in the residual ear cartilage of microtia were analyzed by orthogonal partial least square discriminant analysis (OPLS-DA) and its variable importance projection (VIP) and U test statistical method. Compared with the metabolite database, the metabolic pathway enrichment analysis (MPEA) was used to screen the most related metabolic pathways. Results:According to the multidimensional statistical analysis, it is different in the metabolites of ear cartilage between the two groups. According to the verification of single dimensional statistical analysis, 14 specific biomarkers were identified, and their P value was less than 0.05. According to the metabolic pathway enrichment analysis (MPEA), 3 metabolic pathways had statistically significant difference, including arginine metabolism, taurine and the taurine metabolism, pantothenate and CoA metabolism, beta-alanine metabolism, glycerophospholipid metabolism, P <0.05. Conclusions:Arginine, taurine, L-cysteine and pantothenic acid may have an association with microtia, which proved that it is feasible to study the pathogenesis of microtia by metabonomics.

Objective:Based on ear cartilage of congenital microtia, we tried to find the different metabolites and variational metabolic pathways on molecular level by gas chromatography time-of-flight mass spectrometry (GC-TOFMS).Methods:Patients with microtia were collected from June 2017 to January 2018. During operation, the ear cartilage tissue was collected and labeled, and the case group was residual ear cartilage tissue of the patients with microtia, with 18 cases. The control group was normal ear cartilage tissue, total 18 cases. After the sample pretreatment, based on the technique of GC-TOFMS and the software of XploreMET, the differential metabolites in the residual ear cartilage of microtia were analyzed by orthogonal partial least square discriminant analysis (OPLS-DA) and its variable importance projection (VIP) and U test statistical method. Compared with the metabolite database, the metabolic pathway enrichment analysis (MPEA) was used to screen the most related metabolic pathways. Results:According to the multidimensional statistical analysis, it is different in the metabolites of ear cartilage between the two groups. According to the verification of single dimensional statistical analysis, 14 specific biomarkers were identified, and their P value was less than 0.05. According to the metabolic pathway enrichment analysis (MPEA), 3 metabolic pathways had statistically significant difference, including arginine metabolism, taurine and the taurine metabolism, pantothenate and CoA metabolism, beta-alanine metabolism, glycerophospholipid metabolism, P <0.05. Conclusions:Arginine, taurine, L-cysteine and pantothenic acid may have an association with microtia, which proved that it is feasible to study the pathogenesis of microtia by metabonomics.

Objective To investigate the effect of complement C3a on mouse podocytes phenotype transformation.Methods Purified C3a recombinant protein was used to stimulate mature mouse podocytes.The expression of the mature podocyte markers synaptopodin,podocin,nephrin,CD2-associated protein (CD2AP) and the mesenchymal cell markers fibroblast specific protein 1 (FSP-1),α-smooth muscle actin (α-SMA) were detected by RT-PCR,Western blotting,immunochemistry and immunofluorescence,respectively.Some podocytes were transfected with integrin-linked kinase (ILK) siRNA before the administration of C3a,the expression of nephrin and α-SMA were accessed by Western blotting,and the expression of Snail and α-actinin 4 were accessed by Western blotting and immunochemical method.The migration ability of podocytes was observed by scratch test.Results Immunocytochemistry and immunofluorescence analysis showed that synaptopodin,podocin,nephrin,CD2AP were highly expressed by mature mouse podocytes.The expression of these podocyte markers could be markedly inhibited after 24 h of C3a (0.1 μmol/L) treatment,and accompanied by the induction of mesenchymal markers FSP-1 and α-SMA.Compared with control group,the mRNA levels of synaptopodin,podocin,CD2AP and nephrin were significantly repressed by the administration of C3a in a dose-dependent manner,whereas the transcription of FSP-1 and α-SMA were remarkably up-regulated by C3a treatment (P ＜ 0.05,respectively).Western blotting analysis also confirmed the decrease of synaptopodin,podocin,nephrin and CD2AP protein and the increase of FSP-1 and α-SMA protein were closely depend on the C3a concentration (P ＜ 0.05,respectively).To further assess the downstream of C3a,some podocytes were transfected with ILK siRNA before the administration of C3a.Compared with C3a group,the protein levels of nephrin and α-SMA were significantly changed by the administration of ILK siRNA (P ＜ 0.05,respectively).The expression of α-actinin 4 and Snail induced by C3a were inhibited by ILK knockdown (P ＜ 0.05,respectively),accompanied by a decline of cell migration potency.Conclusion Complement fragment C3a can induce transformation of mouse podocytes to mesenehymal cells,and ILK signaling pathway is involved in this cell type transformation.

Objective To compare the clinical characteristics of normal body mass index (BMI) polycystic ovary syndrome (PCOS) patients with or without insulin resistance (IR) , and analyze the related factors of IR. Methods From January 2013 to January 2017, 128 patients with normal BMI (18.5-23.9 kg/m2) PCOS patients were divided into A group (56 cases with IR) and B group (72 cases without IR) according to whether they had IR. The clinical indicators, sex hormones, glucose and lipid metabolism indexes of the two groups were statistically compared, and the related factors influencing insulin resistance index (HOMA-IR) were analyzed by Pearson. Results Compared with B group, the waist-to-hip ratio (0.91 ± 0.08 vs. 0.80 ± 0.07), Ferriman-Gallway scores [(4.87 ± 1.66) scores vs. (3.31 ± 1.29) scores], fasting blood glucose (FPG) [(5.19 ± 0.60) mmol/L vs. (4.77 ± 0.56) mmol/L], fasting insulin (FINS) [(17.89 ± 5.85) mU/L vs. (9.83 ± 3.87) mU/L], total cholesterol (TC)[(5.03 ± 1.42) mmol/L vs. (4.52 ± 0.62) mmol/L], triglyceride (TG)[(1.72 ± 1.05) mmol/L vs. (0.98 ± 0.26) mmol/L], low density lipoprotein cholesterol (LDL-C) [(3.10 ± 1.19) mmol/L vs. (2.55 ± 0.82) mmol/L] in A group were significantly increased, while high density lipoprotein cholesterol (HDL-C) [(1.28 ± 0.30) mmol/L vs. (1.52 ± 0.23) mmol/L] significantly reduced, the differences were statistically significant (P < 0.05). HOMA-IR was positively correlated with waist-to-hip ratio (r=0.397), FPG (r=0.461), FINS (r=0.992), TC (r=0.371), TG (r=0.354) and LDL-C (r=0.478), but negatively correlated with sex hormone binding globulin (r=-0.231) and HDL-C (r=-0.299). Conclusions The waist-to-hip ratio, Ferriman-Gallway scores, glucose and lipid metabolism in normal BMI PCOS patients with IR are significantly altered. The waist-to-hip ratio, FPG, FINS, TC, TG, LDL-C, HDL-C and sex hormone binding globulin are all related factors of HOMA-IR.

Objective To evaluate the clinical value of CT/MR-contrast enhanced ultrasound (CEUS) image fusion in immediate assessment for hepatocellular carcinoma (HCC)ablation.Methods Patients diagnosed with HCC to receive ablation therapy were randomly divided into two groups.The ablation for each patient was performed according to their pre-ablation plan.Immediate assessments for the ablation were performed using CT/MR-CEUS image fusion (IF group)and CEUS (CEUS group)separately and whether the need for additional ablations was decided and performed during the therapy.The therapy efficacy was evaluated with enhanced CT or MR 1 month after each complete ablation treatment.Results There were 101 patients with 131 nodules in IF group,and 15.1% of the nodules needed additional ablation according the immediate assessment during the therapy.The complete ablation rate of IF group was 99.2%(125/126).On the other hand,there were 93 patients with 122 nodules in CEUS group,and 4.2% of the nodules needed additional ablation according the immediate assessment during the therapy.The complete ablation rate of CEUS group was 94.2% (113/120).IF group has significantly higher additional ablation rate and complete ablation rate than CEUS group (P <0.05).Conclusions CT/MR-CEUS image fusion can further improve ablation efficacy with accurate intraoperative evaluation and guidance of additional ablation compared with CEUS.