Objective To explore the value of vesical imaging reporting and data system(VI-RADS)combined with absolute tumor-wall contact length(ABTCL)and actual tumor-wall contact length(ACTCL)in diagnosing muscle invasive bladder cancer(MIBC).Methods The MRI data of 113 patients with pathologically confirmed bladder cancer(BCa)were analyzed retrospectively.All patients underwent conventional MRI,diffusion weighted imaging(DWI)and dynamic contrast enhanced(DCE)MRI before sur-gery.Two radiologists independently evaluated MRI images based on VI-RADS score,and measured quantitative parameters,inclu-ding ABTCL and ACTCL.The Chi-square test was used to compare the difference of VI-RADS scores between MIBC and non-mus-cle invasive bladder cancer(NMIBC).Quantitative parameters between MIBC and NMIBC were compared by Mann-Whitney U test.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of VI-RADS,quantitative parameters and VI-RADS combined with quantitative parameters in the diagnosis of MIBC.Results VI-RADS,ABTCL and ACTCL had significant differences between MIBC and NMIBC(P＜0.05).The area under the curve(AUC)for VI-RADS,ABTCL and ACTCL in diagno-sing MIBC were 0.89,0.76 and 0.77,respectively.There was no significant difference between the AUC for ABTCL and ACTCL(P＞0.05).The AUC for VI-RADS combined with ABTCL or ACTCL in diagnosing MIBC was 0.93,higher than that of only VI-RADS(P＜0.05).Conclusion The combination of VI-RADS with either ABTCL or ACTCL can effectively improve the diagnostic performance of MIBC.ABTCL obtainedby linear measurement is easier to implement in clinical practice than ACTCL obtained by curved measurement.

Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM_2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM_2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM_2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM_2.5 group, and an SAL+PM_2.5 group, each containing 10 mice. In the SAL group and the SAL+PM_2.5 group, the mice were administered SAL (60 mg·kg⁻¹) by gavage, while in the control group and the PM_2.5 group, sterile saline (10 mL·kg⁻¹) was administered by gavage. In the PM_2.5 group and the SAL+PM_2.5 group, PM_2.5 suspension (8 mg·kg⁻¹) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg⁻¹) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM_2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM_2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM_2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM_2.5 group showed increased Shannon index compared to the PM_2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM_2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM_2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM_2.5 group, and finally, the three groups clustered with the PM_2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM_2.5 group were significantly decreased. Compared to the control group, the PM_2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM_2.5 group, the SAL+PM_2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM_2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM_2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM_2.5 group (P<0.05). Conclusion Exposure to PM_2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.

Precise segmentation of lung field is a crucial step in chest radiographic computer-aided diagnosis system. With the development of deep learning, fully convolutional network based models for lung field segmentation have achieved great effect but are poor at accurate identification of the boundary and preserving lung field consistency. To solve this problem, this paper proposed a lung segmentation algorithm based on non-local attention and multi-task learning. Firstly, an encoder-decoder convolutional network based on residual connection was used to extract multi-scale context and predict the boundary of lung. Secondly, a non-local attention mechanism to capture the long-range dependencies between pixels in the boundary regions and global context was proposed to enrich feature of inconsistent region. Thirdly, a multi-task learning to predict lung field based on the enriched feature was conducted. Finally, experiments to evaluate this algorithm were performed on JSRT and Montgomery dataset. The maximum improvement of Dice coefficient and accuracy were 1.99% and 2.27%, respectively, comparing with other representative algorithms. Results show that by enhancing the attention of boundary, this algorithm can improve the accuracy and reduce false segmentation.
X-Rays ; Algorithms ; Diagnosis, Computer-Assisted ; Thorax/diagnostic imaging* ; Lung/diagnostic imaging* ; Image Processing, Computer-Assisted

Objective:To investigate the expression and clinical significance of vitamin D receptor (VDR) and human β-defensin-2(HBD2) in children with Helicobacter pylori (Hp) infection and gastritis.Methods:Eighty-one children who were hospitalized in the Department of Gastroenterology at Beijing Children′s Hospital from January 2021 to June 2023 and underwent endoscopic examination were collected.They were divided into Hp infection group and non-Hp infection group according to whether they were infected with Hp.The expression levels of VDR and HBD2 between two groups, and the correlation between VDR, HBD2 expression levels and gastritis were compared and analyzed.Results:Among 81 cases, 48 cases were Hp positive, including 24 males and 24 females, with an average age of (11.4±2.7) years; 33 cases were Hp negative, including 14 males and 19 females, with an average age of (11.3±2.6) years.There were no significant differences in sex and age between two groups ( P>0.05). The positive rates of VDR and HBD2 expression in gastric mucosa of children with Hp infection were higher than those of children without Hp infection, and the differences were statistically significant (87.5% vs.39.4%, 79.2% vs.63.6%, all P<0.05). The expressions of VDR and HBD2 had no correlation with age and sex ( P>0.05). The expressions of VDR and HBD2 were positively correlated with granular degeneration of gastric mucosa ( r=0.384, P<0.001; r=0.258, P=0.020). The expression of VDR was positively correlated with the degree of gastric inflammation ( r=0.365, P=0.001), while the expression of HBD2 was not correlated with the degree of gastric inflammation ( P>0.05). Conclusion:The expression levels of VDR and HBD2 in gastric mucosa of children infected with Hp are increased.The expression level of VDR is correlated with the degree of gastritis and the granular degeneration of gastric mucosa.The expression level of HBD2 is correlated with the granular degeneration of gastric mucosa.But there is no correlation between the level of HBD2 expression and the degree of gastritis.

Objective:To investigate the modulatory function of interleukin-7 (IL-7)/CD 127 signaling pathway on CD 8+T cells in patients with myasthenia gravis (MG). Methods:Fifty-seven treatment-naive MG patients who were hospitalized in Department of Neurology, Nanyang Central Hospital between 2017 and 2020 as well as 35 healthy controls were enrolled. Peripheral blood was collected, while plasma and peripheral blood mononuclear cells were isolated. Plasma IL-7 and soluble CD 127 (sCD 127) were measured by enzyme linked immunosorbent assay (ELISA). Membrane-bound CD 127 (mCD 127) percentage in CD 8+T cells was measured by flow cytometry. The differences of above indices between different gender, onset age, afflicting with thymoma, or different Osserman type and their correlation with Quantitative Myasthenia Gravis (QMG) score were analyzed. Purified CD 8+T cells from MG patients were stimulated with recombinant human IL-7 (5 μg/L). Changes of sCD 127 and mCD 127 level were analyzed. Levels of perforin, granzyme B, interferon-γ (IFN-γ), and tumor necrosis factor-α (TNF-α) in the cultured supernatants were measured by ELISA. Immune checkpoint molecules mRNA in CD 8+T cells was semi-quantified by real-time fluorescence quantitative polymerase chain reaction. Results:Plasma IL-7 level was up-regulated in MG patients compared with controls [(293.4±74.7) pg/ml vs (233.8±70.8) pg/ml, t=3.78, P<0.001], while sCD 127 level was down-regulated in MG patients compared with controls [(102.7±13.7) pg/ml vs (131.2±20.9) pg/ml, t=7.91, P<0.001]. Peripheral CD 8+T cells percentage was up-regulated in MG patients compared with controls (35.4%±7.1% vs 30.2%±7.5%, t=3.31, P=0.001), and mCD 127+CD 8+T cell percentage was also elevated (45.5%±7.7% vs 34.7%±11.5%, t=5.44, P<0.001). There were no significant differences of above indices between different gender, onset age, afflicting with thymoma, or different Osserman type. There was no significant correlation between above indices and QMG score. There were no significant differences of sCD 127 in cultured supernatants, mCD 127+CD 8+T cell percentage, or immune checkpoint molecules mRNA expression between CD 8+T cells from MG patients with and without IL-7 stimulation. IL-7 stimulation promoted the secretion of perforin [(208.1±67.2) pg/ml vs (168.8±46.2) pg/ml, t=2.16, P=0.038], granzyme B [(941.8±273.9) pg/ml vs (782.4±137.2) pg/ml, t=2.33, P=0.025], and IFN-γ [(19.1±5.2) pg/ml vs (15.3±4.5) pg/ml, t=2.47, P=0.018] by CD 8+T cells. However, there was no remarkable difference of TNF-α production between CD 8+T cells with and without IL-7 stimulation. Conclusion:Elevated IL-7-mediated signaling pathway enhanced the secretion of cytotoxic molecules and cytokines by CD 8+T cells, leading to increased activity of CD 8+T cells in MG patients.

In recent years, epileptic seizure detection based on electroencephalogram (EEG) has attracted the widespread attention of the academic. However, it is difficult to collect data from epileptic seizure, and it is easy to cause over fitting phenomenon under the condition of few training data. In order to solve this problem, this paper took the CHB-MIT epilepsy EEG dataset from Boston Children's Hospital as the research object, and applied wavelet transform for data augmentation by setting different wavelet transform scale factors. In addition, by combining deep learning, ensemble learning, transfer learning and other methods, an epilepsy detection method with high accuracy for specific epilepsy patients was proposed under the condition of insufficient learning samples. In test, the wavelet transform scale factors 2, 4 and 8 were set for experimental comparison and verification. When the wavelet scale factor was 8, the average accuracy, average sensitivity and average specificity was 95.47%, 93.89% and 96.48%, respectively. Through comparative experiments with recent relevant literatures, the advantages of the proposed method were verified. Our results might provide reference for the clinical application of epilepsy detection.
Algorithms ; Child ; Deep Learning ; Electroencephalography ; Epilepsy/diagnosis* ; Humans ; Seizures/diagnosis* ; Signal Processing, Computer-Assisted ; Wavelet Analysis

Objective : To study the effect of EFHD2 protein deletion in Sertoli cells on Occludin，a component of tight junction protein and the localization and expression of EF-hand domain family member D2 (EFHD2) in mouse testis． Methods : Total RNA and protein were extracted from adult mice's heart ，liver ，spleen ，lung ，kidney， brain and testis tissues．The mRNA and protein levels of EFHD2 in each organ tissue were detected by qRT-PCR and Western blot．Immunofluorescence and immunohistochemistry detected the localization and expression of EF- HD2 in testicular tissues．SiRNA interference was used to reduce EFHD2 in Sertoli cells to detect Occludin protein expression. Results : qRT-PCR showed that the expression of EFHD2 was the highest in the testis．Western blot results showed that the expression level increased in testis tissue．Indirect immunofluorescence and immunohisto- chemistry results showed that the protein was mainly distributed in Sertoli cells and co-localized with cytoskeletal Vimentin，indicating that the protein was expressed in Sertoli cells．After the decrease of EFHD2 protein expres- sion，Occludin protein expression also decreased． Conclusion The expression of EFHD2 protein in the testis is relatively high，mainly distributed in Sertoli cells of the testis，co-localized with Vimentin，and can affect the nor- mal expression of tight junction protein Occludin．It is suggested that EFHD2 can promote and maintain the junction structure of Sertoli cells and provide a stable microenvironment for spermatogenesis.

Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features, but it is limited by the problem of small samples. Traditional feature extraction (original features) can avoid the impact of small samples, but it relies heavily on experience and is poorly adaptive. To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm. Firstly, based on the prior knowledge, the psychotic speech features are extracted, and the original features are constructed. Secondly, the original features are embedded in the sparse stack autoencoder (deep network), and the output of the hidden layer is filtered to enhance the complementarity between the deep features and the original features. Third, the L1 regularization feature selection mechanism is designed to compress the dimensions of the mixed feature set composed of deep features and original features. Finally, a weighted local preserving projection algorithm and an ensemble learning mechanism are designed, and a manifold projection classifier ensemble model is constructed, which further improves the classification stability of feature fusion under small samples. In addition, this paper designs a medium-to-large-scale psychotic speech collection program for the first time, collects and constructs a large-scale Chinese psychotic speech database for the verification of psychotic speech recognition algorithms. The experimental results show that the main innovation of the algorithm is effective, and the classification accuracy is better than other representative algorithms, and the maximum improvement is 3.3%. In conclusion, this paper proposes a new method of psychotic speech recognition based on embedded mixed sparse stack autoencoder and manifold ensemble, which effectively improves the recognition rate of psychotic speech.
Algorithms ; Databases, Factual ; Humans ; Psychotic Disorders ; Speech ; Speech Perception

Myoclonus dystonia syndrome (MDS) is an inherited movement disorder, and most MDS-related mutations have so far been found in the ε-sarcoglycan (SGCE) coding gene. By generating SGCE-knockout (KO) and human 237 C > T mutation knock-in (KI) mice, we showed here that both KO and KI mice exerted typical movement defects similar to those of MDS patients. SGCE promoted filopodia development in vitro and inhibited excitatory synapse formation both in vivo and in vitro. Loss of function of SGCE leading to excessive excitatory synapses that may ultimately contribute to MDS pathology. Indeed, using a zebrafish MDS model, we found that among 1700 screened chemical compounds, Vigabatrin was the most potent in readily reversing MDS symptoms of mouse disease models. Our study strengthens the notion that mutations of SGCE lead to MDS and most likely, SGCE functions to brake synaptogenesis in the CNS.

Objective:To analyze the complications and outcomes during the hospitalization of extremely premature infants (EPI) and extremely low birth weight infants (ELBWI).Methods:Clinical data of 168 cases of EPI and ELBWI admitted to 4 hospitals of grade three in Shaanxi Province between January 1, 2015 and December 31, 2017 were retrospectively analyzed.The information of general data, prenatal care, complications and outcomes were summarized.Outcomes of different groups were compared according to birth weight and gestational age.Results:A total of 168 cases of EPI and ELBWI were collected.The rate of delivery in tertiary hospitals was 86.9% (146/165 cases), 86 patients (57.7%) received prenatal Dexamethasone.The mean gestational age was (27.9±1.7) weeks, and the mean birth weight was (951.6±148.9) g. The highest rates of pregnancy complications included gestational hypertension (44/149 cases, 29.5%), premature rupture of membranes (43/149 cases, 28.9%) and gestational diabetes (16/149 cases, 10.7%). The first three neonatal complications were neonatal respiratory distress syndrome (16/168 cases, 95.2%), bronchopulmonary dysplasia (73/110 cases, 66.4%) and retinopathy of prematurity (65/110 cases, 59.1%). The survival rate of EP and ELBWI in 168 cases was 61.9% (104/168 cases), the abandonment rate was 27.4% (46/168 cases), and the mortality in hospital was 10.7% (18/168 cases). According to birth weight and gestational age, there were no statistically significant differences in survival, abandonment and hospital mortality among different birth weight groups( χ2=4.361, 5.104, 1.630, all P>0.05), while there were statistically significant differences in survival, abandonment and hospital mortality among different gestational age groups( χ2=21.650, 8.164, 13.490, all P<0.05). Conclusions:There are many complications of EPI and ELBWI and the outcomes are closely related to the gestational age of birth.Improving the perinatal management level and the professional diagnosis and treatment level of neonatology are helpful to improve the survival rate and prognosis.