The spectrum and prognosis of Sjögren's syndrome with membranous nephropathy.

Background: This study aims to investigate the spectrum and prognosis of membranous nephropathy (MN) in patients with Sjögren's syndrome (SS).

Methods: SS patients with biopsy-proven kidney involvement who were diagnosed at our center between April 2007 and February 2024 were retrospectively reviewed and analyzed.

Results: A total of 290 SS patients with kidney involvement were enrolled.

Prognostic significance of tubulointerstitial macrophage density in MPO-ANCA-associated glomerulonephritis: implications for renal outcomes.

Objective: This study aimed to evaluate the density of tubulointerstitial macrophages with renal outcomes in patients with myeloperoxidase (MPO)-ANCA associated glomerulonephritis (MPO-ANCA GN).

Methods: This study analyzed patients with MPO-ANCA GN who had renal biopsies at Jinling Hospital. It looked at the density of CD68+ macrophages in the tubulointerstitium and examined correlations with serum creatinine levels, urinary protein levels, treatment regimen, and renal histologic class.

A deep learning-based cascade algorithm for pancreatic tumor segmentation.

Pancreatic tumors are small in size, diverse in shape, and have low contrast and high texture similarity with surrounding tissue. As a result, the segmentation model is easily confused by complex and changeable background information, leading to inaccurate positioning of small targets and false positives and false negatives. Therefore, we design a cascaded pancreatic tumor segmentation algorithm.

CDI-NSTSEG: A Clinical Diagnosis-Inspired Effective and Efficient Framework for Non-Salient Small Tumor Segmentation.

To accurately segment various clinical lesions from computed tomography(CT) images is a critical task for the diagnosis and treatment of many diseases. However, current segmentation frameworks are tailored to specific diseases, and limited frameworks can detect and segment different types of lesions. Besides, it is another challenging problem for current segmentation frameworks to segment visually inconspicuous and small-scale tumors (such as small intestinal stromal tumors and pancreatic tumors).

Knockdown of YAP1 Reduces YTHDF3 to Stabilize and thus Inhibit Bladder Cancer Stem Cell Stemness.

Background: The previous study has proved the oncogenic role of Yes-associated protein 1 (YAP1) in bladder cancer (BLCA), thus this study focused on its impact on bladder cancer stem cells (BCSCs) and underlying mechanism.

Method: BCSCs were obtained by treating human BLCA cells UMUC3 with cisplatin and identified by measuring CD133 in UMUC3/BCSCs via flow cytometry. YAP1 interaction proteins and mothers against decapentaplegic homolog 7 () N6-methyladenosine (m6A) site were analyzed by bioinformatics.

Prediction of treatment response in lupus nephritis using density of tubulointerstitial macrophage infiltration.

Background: Lupus nephritis (LN) is a common disease with diverse clinical and pathological manifestations. A major challenge in the management of LN is the inability to predict its treatment response at an early stage. The objective of this study was to determine whether the density of tubulointerstitial macrophage infiltration can be used to predict treatment response in LN and whether its addition to clinicopathological data at the time of biopsy would improve risk prediction.

β-Sitosterol Alleviates the Proliferation and Migration of Cystitis Glandularis-Associated Cells by Targeting HMGCR to Induce NLRP3-Dependent Pyroptosis.

Background: Cystitis glandularis (CG) is a proliferative lesion of the bladder mucosa, and the incidence rate of CG has increased year by year. Considering the potential function of β-sitosterol in CG, we aim to fathom its effect and mechanism of CG.

Methods: Primary human cells isolated from CG patients and following transfection as needed, were treated with different concentrations of β-sitosterol.

A General Global and Local Pre-Training Framework for 3D Medical Image Segmentation.

Accurate target segmentation from computed tomography (CT) scans is crucial for surgical robots to perform clinical surgeries successfully. However, the lack of medical image data and annotations has been the biggest obstacle to learning robust medical image segmentation models. Self-supervised learning can effectively address this problem by providing a strategy to pre-train a model with unlabeled data, and then fine-tune downstream tasks with limited labeled data.

Mitochondrial metabolism-related signature depicts immunophenotype and predicts therapeutic response in testicular germ cell tumors.

In recent years, there has been growing evidence linking mitochondrial dysfunction to the development and progression of cancer. However, the role of mitochondrial metabolism-related genes (MMRGs) in testicular germ cell tumor (TGCT) remains unclear. We downloaded clinical pathology, transcriptome, and somatic mutation data for TGCT from public databases and conducted univariate Cox regression analysis to investigate prognostic correlations.

Innovation and Reform of Ideological and Political Course Mode in Colleges and Universities Based on Big Data Network Platform.

With the continuous development of the computer field, the Internet has become the main way of education in today's era. The development of computer technology and big data has brought innovation and opportunities to the teaching mode of ideological and political courses in colleges and universities. Due to the dynamic change of big data, there are many difficulties in the establishment of ideological and political course models in colleges and universities.

Prognosis Analysis and Perioperative Research of Elderly Patients with Non-Muscle-Invasive Bladder Cancer under Computed Tomography Image of Three-Dimensional Reconstruction Algorithm.

To analyze the application value of computed tomography (CT) based on a three-dimensional reconstruction algorithm in perioperative nursing research and prognosis analysis of non-muscle-invasive bladder cancer (NMIBC), a retrospective study was performed on 124 patients with NMIBC who underwent surgical treatment in the hospital. All patients underwent CT examination based on the three-dimensional reconstruction algorithm before surgery, and transurethral resection of the bladder tumor was performed. The patients receiving conventional care were classified as the control group, and those receiving comprehensive care were classified as the case group, and the recovery status and recurrence of the two groups were compared.

Identification of SEC14 like lipid binding 2(SEC14L2) sequence and expression profiles in the Chinese tree shrew (Tupaia belangeri chinensis).

Background: The product of the SEC14L2 (SEC14 Like Lipid Binding 2) gene belongs to a family of lipid-binding proteins including Sec14p, alpha-tocopherol transfer protein, and cellular retinol-binding protein. SEC14L2 expression enables replication of clinical hepatitis C virus (HCV) isolates in several hepatoma cell lines, and mutations in SEC14L2 may enhance HCV replication in vitro. The Chinese tree shrew (Tupaia belangeri chinensis) is a potential animal model for studying HCV replication, however, the cDNA sequence, protein structure, and expression of the Chinese tree shrew SEC14L2 gene have yet to be characterized.

Molecular cloning and characterization of NPC1L1 in the Chinese tree shrew (Tupaia belangeri chinensis).

Background: The Niemann-Pick C1-Like 1 protein, a multi-transmembrane domain molecule, is critical for intestinal cholesterol absorption, and is the entry factor for hepatitis C virus (HCV). The Chinese tree shrew (Tupaia belangeri chinensis) is closer to primates in terms of genetic evolution than rodents. Previous studies indicated that the tree shrew was suitable for HCV research; however, little is known about tree shrew NPC1L1.

Value of ST-T changes and heart rate variability in pulmonary heart disease during 24 h dynamic electrocardiography examination.

Purpose: This study was designed to analyze the value of 24 h dynamic electrocardiography (DCG) examination in the diagnosis of pulmonary heart disease (PHD).

Methods: Ninety cases of patients with PHD were included as the observation group, and 50 cases of healthy patients were enrolled as the healthy group. Both groups received DCG examination.

Transcriptome Analysis of Choroid and Retina From Tree Shrew With Choroidal Neovascularization Reveals Key Signaling Moieties.

Pathological neovascularization in choroid, a leading cause of blindness, is a characteristic of many fundus diseases, such as diabetic retinopathy and age-related macular degeneration. The present study aimed to elucidate the key signaling pathways in choroidal neovascularization (CNV) by analyzing the mRNA profiles of choroid and retina in tree shrews with CNV. We induced choroidal angiogenesis by laser photocoagulation in 15 tree shrews and obtained mRNA profiles of their choroids and retinas by high-throughput transcriptome sequencing.

YAP Triggers Bladder Cancer Proliferation by Affecting the MAPK Pathway.

Background: The transcriptional regulator YAP is frequently overexpressed in human cancers, such as breast and pancreatic cancers, plays an important role in tumorigenesis and can regulate many factors affecting cancer progression. These observations encouraged us to investigate the effect of YAP expression on bladder cancer.

Methods: The changes in multiple cellular functions associated with tumor progression including cell proliferation, cell migration, cell cycle, and cell apoptosis were assessed after YAP knockdown/overexpression in bladder cancer cell lines.

Clinicopathological and prognostic value of SNHG6 in cancers: a systematic review and a meta-analysis.

Background: Dysregulation of the long non-coding RNA small nucleolar RNA host gene 16 (lncRNA SNHG6) has been found in multiple cancers. However, a definite conclusion on the clinical value of lncRNA SNHG6 expression in human cancers has not been determined. The purpose of the present meta-analysis was to comprehensively elucidate the association between SNHG6 expression and clinical outcomes in cancers.

Renoprotection Provided by Dipeptidyl Peptidase-4 Inhibitors in Combination with Angiotensin Receptor Blockers in Patients with Type 2 Diabetic Nephropathy.

Background: Treatment with the dipeptidyl peptidase-4 inhibitors (DPP4i) and angiotensin receptor blockers (ARBs) in patients with type 2 diabetic nephropathy (DN) has not been well characterized. This study aimed to assess the renoprotection of this combined treatment in DN patients.

Methods: A total of 159 type 2 DN patients from 2013 to 2015 were enrolled retrospectively from a prospective DN cohort at the National Clinical Research Center of Kidney Diseases, Jinling Hospital (China).

Dissection of Glomerular Transcriptional Profile in Patients With Diabetic Nephropathy: SRGAP2a Protects Podocyte Structure and Function.

Podocytes play a pivotal role in maintaining glomerular filtration function through their interdigitated foot processes. However, the mechanisms that govern the podocyte cytoskeletal rearrangement remain unclear. Through analyzing the transcriptional profile of renal biopsy specimens from patients with diabetic nephropathy (DN) and control donors, we identify SLIT-ROBO ρGTPase-activating protein 2a (SRGAP2a) as one of the main hub genes strongly associated with proteinuria and glomerular filtration in type 2 DN.

Comparing the GFR estimation equations using both creatinine and cystatin c to predict the long-term renal outcome in type 2 diabetic nephropathy patients.

Aims: This study aimed to determine whether eGFRcre-cys and its slope could improve the prediction of the long-term renal outcome in patients with type 2 diabetic nephropathy (DN).

Methods: The cross-sectional and longitudinal analyses included 501 type 2DN patients from 2003 to 2009. GFR was estimated using either eGFRcre-cys or the serum creatinine-based equation (eGFRcre) or the cystatin C-based equation (eGFRcys), and was classified into 3 categories (≥90, 60-90, ≤60ml/min per 1.

Rapid Identification of Potential Drugs for Diabetic Nephropathy Using Whole-Genome Expression Profiles of Glomeruli.

Objective: To investigate potential drugs for diabetic nephropathy (DN) using whole-genome expression profiles and the Connectivity Map (CMAP).

Methodology: Eighteen Chinese Han DN patients and six normal controls were included in this study. Whole-genome expression profiles of microdissected glomeruli were measured using the Affymetrix human U133 plus 2.