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Hepatic encephalopathy (HE) is a major complication following transjugular intrahepatic portosystemic shunt (TIPS) placement, significantly affecting patients’ quality of life and long-term prognosis. This study aims to compare the efficacy of underdilated TIPS versus standard TIPS in preventing variceal rebleeding in patients with cirrhosis and portal hypertension and to evaluate the incidence of post-procedural HE.
This multicentre randomised controlled trial will be conducted across five Grade A tertiary hospitals in China. A total of 648 patients with portal hypertension-related oesophagogastric variceal bleeding undergoing TIPS will be enrolled and randomly assigned in a 1:1 ratio to either the experimental or control group. In the experimental group, underdilated TIPS will be performed using 6 mm balloon for stent expansion. In the control group, standard TIPS will be performed using progressive balloon dilation, starting at 8 mm and increasing stepwise as needed until the portosystemic pressure gradient is reduced to
The study protocol (V.2, 1 July 2025) has been approved by the Medical Ethics Committee of the First Affiliated Hospital of Air Force Medical University (Approval No.: KY20252233-F-2). Written informed consent will be obtained from all participants prior to enrolment. Findings will be presented at academic conferences and published in peer-reviewed journals.
ChiCTR2500110490; NCT07253389.
by Jing-le Zhuge, Xi-yong Li, Yong-le Wang, Juan-fen Ma
ObjectiveThis study aimed to comprehensively analyze differentially expressed genes (DEGs) in chondrocytes from patients with knee osteoarthritis (OA) by integrating multiple machine learning algorithms and bioinformatics techniques, to unravel the underlying molecular mechanisms associated with OA chondrocytes, and to provide novel insights for the innovation of clinical therapeutic strategies.
MethodsWe downloaded the GSE117999, GSE114007, GSE169077, GSE246425, and GSE178557 datasets from the public Gene Expression Omnibus (GEO) database as the training set, while GSE57218 served as an independent validation set. To ensure data consistency and comparability, the training set was normalized, and the ComBat algorithm was applied to eliminate batch effects, yielding a merged gene expression dataset. Subsequent differential expression analysis was performed to identify genes with significant changes under disease conditions, followed by enrichment analysis. To more accurately identify genes closely linked to disease characteristics, we independently analyzed the merged dataset using three machine learning algorithms: Lasso regression, random forest, and support vector machine (SVM). The intersection of results from these three methods was used to construct a robust list of disease-related feature genes. These prominent feature genes were validated in the training set and further externally confirmed using the GSE57218 dataset. Additionally, the CIBERSORT algorithm was employed to quantify immune cell infiltration in the normalized gene expression data, selecting infiltration results with high reliability (P Results
DDIT3 and PFKFB3 were significantly downregulated in OA patients. DDIT3 was specifically associated with lipid metabolism, apoptosis, and inflammatory genes (e.g., TNFRSF12A), whereas PFKFB3 was linked to phospholipid synthesis and cell cycle genes (e.g., CHKA). Both genes were associated with core OA-related pathways, including PI3K-Akt and AGE-RAGE. Immune infiltration analysis revealed that DDIT3 was positively correlated with pro-inflammatory mast cells and M1 macrophages, while PFKFB3 was negatively correlated with activated dendritic cells. Collectively, these two genes were associated with immune cell infiltration patterns. The competing endogenous RNA (ceRNA) network analysis indicated that DDIT3 was associated with axes such as LINC00689-miR-769-5p, and PFKFB3 was associated with complex networks like GAS6-AS1-miR-146a-5p.
ConclusionDDIT3 and PFKFB3 are key candidate genes associated with the pathological progression of OA. Their downregulation is correlated with inflammatory and metabolic disturbances in chondrocytes, supporting their potential use as diagnostic biomarkers and therapeutic targets for OA.
FreshRSS 