Publications by authors named "Jiang Minbo"
Objective: To establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD.
Methods: A total of 3377 participants' sMRI from four independent databases were retrospectively identified to construct an interpretable deep learning model that integrated multi-dimensional representations of AD solely on sMRI (called sMRI-ADNet) by a dual-channel learning strategy of gray matter volume (GMV) from Euclidean space and the regional radiomics similarity network (R2SN) from graph space. Specifically, the GMV feature map learning channel (called GMV-Channel) was to take into consideration spatial information of both long-range spatial relations and detailed localization information, while the node feature and connectivity strength learning channel (called NFCS-Channel) was to characterize the graph-structured R2SN network by a separable learning strategy.
Background: Radiomics-based morphological brain networks (radMBN) constructed from routinely acquired structural MRI (sMRI) data have gained attention in Alzheimer's disease (AD). However, the radMBN suffers from limited characterization of AD because sMRI only characterizes anatomical changes and is not a direct measure of neuronal pathology or brain activity.
Purpose: To establish a group sparse representation of the radMBN under a joint constraint of group-level white matter fiber connectivity and individual-level sMRI regional similarity (JCGS-radMBN).
Objectives: CT and MR are often needed to determine the location and extent of brain lesions collectively to improve diagnosis. However, patients with acute brain diseases cannot complete the MRI examination within a short time. The aim of the study is to devise a cross-device and cross-modal medical image synthesis (MIS) method CrossSynNet for synthesizing routine brain MRI sequences of T1WI, T2WI, FLAIR, and DWI from CT with stroke and brain tumors.
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- The study identifies a lack of sensitive diagnostic biomarkers for osteoporosis, highlighting the need for new biomarker discovery to improve early diagnosis and treatment.
- Researchers used GEO2R to screen and validate differentially expressed genes (DEGs) in blood samples from osteoporosis patients across two datasets, and utilized various databases to explore gene functions and drug interactions.
- The analysis prioritized six key DEGs (EGFR, HMOX1, PGR, CXCL10, CCL5, IL12B) that were significantly upregulated in osteoporosis patients, demonstrating strong potential for use as diagnostic markers.
Spinal cord injury (SCI) is a common disease of the central nervous system. circRNAs play a crucial role in neurological disease. The purpose of this study was to investigate the role of circ-KATNAL1 in SCI and its regulatory mechanism.
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- The study investigates the connection between two proteins, H-FABP and B-FABP, and the risk of postoperative cognitive dysfunction (POCD) in elderly spinal surgery patients.
- A total of 125 participants were split into groups based on whether they experienced POCD after surgery, with evaluations of protein levels before and after the procedure.
- Results showed that patients with POCD had higher levels of H-FABP and B-FABP post-surgery compared to their pre-surgery levels and also compared to patients without POCD, indicating a link between these proteins and cognitive dysfunction.
Objective: To establish a three-dimensional finite element model of osteoporosis and to study the stiffness recovery of injured vertebrae and stress analysis of adjacent vertebrae after percutaneous vertebroplasty under different perfusion and distribution conditions by simulating fluid flow into the vertebral body.
Methods: A male healthy volunteer was selected. CT scans were performed from T to L.
Background: Establishment of a three-dimensional (3D) finite element model of osteoporosis, the simulation fluid was used to enter the vertebral body to study the stiffness recovery of injured vertebral body under different perfusion and distribution conditions, and the stress analysis of adjacent vertebral body after percutaneous vertebroplasty (PVP) was carried out.
Methods: A healthy male volunteer was selected. Computed tomography (CT) scanning was performed from T11 to L2.
Article Synopsis
- The study explored hub genes and mechanisms related to cell aging in human annulus cells, focusing on microarray data from disc degenerative disease patients.
- Using bioinformatics, researchers identified 667 differentially expressed genes (DEGs), highlighting pathways like apoptosis and MAPK signaling that relate to cellular aging.
- Key transcription factors and target genes with high connectivity, such as HSP90 and CXCL5, were proposed as potential markers for further research on disc degeneration.
Article Synopsis
- The study investigates how IL-1β influences the expression of ADAMTS-4 and ADAMTS-5 proteins in human nucleus pulposus cells through the NF-κB signaling pathway.
- The researchers used qRT-PCR and Western blot techniques to measure protein levels and conducted gene silencing to explore NF-κB's role in ADAMTS expression and aggrecan degradation.
- The findings indicate that IL-1β boosts ADAMTS expression, and disrupting NF-κB signaling diminishes this effect, highlighting the crucial role of both ADAMTS-4 and ADAMTS-5 in degrading aggrecan in these cells.