Transduktion und Zellzyklusregulation durch das rekombinante Tat-p27(KIP1)-Fusionsprotein in Neuroblastomzellen

Das Neuroblastom ist eine der häufigsten Tumorerkrankung im Kindesalter. Das Tumorsuppressorprotein, p27(KIP1), ist ein prognostischer Faktor bei Neuroblastomerkrankungen und korreliert positiv mit einer guten Prognose der Erkrankung. Das Tat-Fusionsprotein ist ein erst kürzlich beschriebenes Konstrukt für die Proteintransduktion und stellt eine Alternative zur konventionellen Gentherapie dar. In der vorliegenden Arbeit wurde das Tat-p27(KIP1)-Fusionsprotein hergestellt und dieses in die Neuroblastomzellen substituiert und die darausfolgende Konsequenz bezüglich des Zellzyklus untersucht, um so die prognosebestimmende Wirkung des p27(KIP1)-Proteins bei Neuroblastomen besser verstehen zu können

Transduktion und Zellzyklusregulation durch das rekombinante Tat-p27(KIP1)-Fusionsprotein in Neuroblastomzellen

Das Neuroblastom ist eine der häufigsten Tumorerkrankung im Kindesalter. Das Tumorsuppressorprotein, p27(KIP1), ist ein prognostischer Faktor bei Neuroblastomerkrankungen und korreliert positiv mit einer guten Prognose der Erkrankung. Das Tat-Fusionsprotein ist ein erst kürzlich beschriebenes Konstrukt für die Proteintransduktion und stellt eine Alternative zur konventionellen Gentherapie dar. In der vorliegenden Arbeit wurde das Tat-p27(KIP1)-Fusionsprotein hergestellt und dieses in die Neuroblastomzellen substituiert und die darausfolgende Konsequenz bezüglich des Zellzyklus untersucht, um so die prognosebestimmende Wirkung des p27(KIP1)-Proteins bei Neuroblastomen besser verstehen zu können

MPSeg : Multi-Phase strategy for coronary artery Segmentation

Accurate segmentation of coronary arteries is a pivotal process in assessing cardiovascular diseases. However, the intricate structure of the cardiovascular system presents significant challenges for automatic segmentation, especially when utilizing methodologies like the SYNTAX Score, which relies extensively on detailed structural information for precise risk stratification. To address these difficulties and cater to this need, we present MPSeg, an innovative multi-phase strategy designed for coronary artery segmentation. Our approach specifically accommodates these structural complexities and adheres to the principles of the SYNTAX Score. Initially, our method segregates vessels into two categories based on their unique morphological characteristics: Left Coronary Artery (LCA) and Right Coronary Artery (RCA). Specialized ensemble models are then deployed for each category to execute the challenging segmentation task. Due to LCA's higher complexity over RCA, a refinement model is utilized to scrutinize and correct initial class predictions on segmented areas. Notably, our approach demonstrated exceptional effectiveness when evaluated in the Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs (ARCADE) Segmentation Detection Algorithm challenge at MICCAI 2023.Comment: MICCAI 2023 Conference ARCADE Challeng

SSASS: Semi-Supervised Approach for Stenosis Segmentation

Coronary artery stenosis is a critical health risk, and its precise identification in Coronary Angiography (CAG) can significantly aid medical practitioners in accurately evaluating the severity of a patient's condition. The complexity of coronary artery structures combined with the inherent noise in X-ray images poses a considerable challenge to this task. To tackle these obstacles, we introduce a semi-supervised approach for cardiovascular stenosis segmentation. Our strategy begins with data augmentation, specifically tailored to replicate the structural characteristics of coronary arteries. We then apply a pseudo-label-based semi-supervised learning technique that leverages the data generated through our augmentation process. Impressively, our approach demonstrated an exceptional performance in the Automatic Region-based Coronary Artery Disease diagnostics using x-ray angiography imagEs (ARCADE) Stenosis Detection Algorithm challenge by utilizing a single model instead of relying on an ensemble of multiple models. This success emphasizes our method's capability and efficiency in providing an automated solution for accurately assessing stenosis severity from medical imaging data.Comment: MICCAI 2023 Conference ARCADE Challeng

17β-Estradiol strongly inhibits azoxymethane/dextran sulfate sodium-induced colorectal cancer development in Nrf2 knockout male mice

© 2020 The Author(s)Nuclear factor erythroid 2-related factor 2 (Nrf2) has dual effects on inflammation and cancer progression depending on the microenvironment. Estrogens have a protective effect on colorectal cancer (CRC) development. The aim of this study was to investigate CRC development in Nrf2 knockout (KO) mice. Azoxymethane (AOM) and dextran sulfate sodium (DSS)-treated wild-type (WT) and Nrf2 KO male mice were sacrificed at weeks 2 and 16 after AOM injection with/without 17β-estradiol (E2) treatment during week 1. Disease activity index and colon tissue damage at week 2 showed strong attenuation following E2 administration in WT mice but to a lesser extent in Nrf2 KO male mice. At week 16, E2 significantly diminished AOM/DSS-induced adenoma/cancer incidence at distal colon in the Nrf2 KO group, but not in the WT. Furthermore, mRNA or protein levels of NF-κB-related mediators (i.e., iNOS, TNF-α, and IL-1β) and Nrf2-related antioxidants (i.e., NQO1 and HO-1) were significantly lower in the Nrf2 KO group regardless of E2 treatment compared to the WT. The expression of estrogen receptor beta (ERβ) was higher in the Nrf2 KO group than in the WT. In conclusion, estrogen further inhibits CRC by upregulating ERβ-related alternate pathways in the absence of Nrf2.

Bone regeneration potential of sub-microfibrous membranes with osteogenic induction of rBMSC for tissue engineering

Purpose: To examine the biocompatibility and osteoinductive potential of  sub-microfibrous membranes with cells in vitro and in vivo.Methods: Polylactic acid (PLA) and poly-ε-caprolactone (PCL) were blended at various volume ratios (PLA:PCL = 100:0, 70:30, 50:50, 30:70 and 0:100) and each membrane form was prepared by electrospinning. Cell viability,  biocompatibility, and bone regeneration were measured.Results: The membranes from the PLA/PCL blends prepared by an electrospinning process showed a range of diameter distribution ranging from 1,580 to 550 nm. The cells of 100 % PCL membrane (smallest diameter) exhibited significantly higher adhesion and proliferation than those of the other membranes. Among the  membranes from PLA/PCL blends, PCL membrane showed weak inflammatory changes in the early stages of implantation without acute or chronic inflammation. PCL membranes with osteogenically-induced cells successfully stimulated new bone formation in a rate calvarial defect model.Conclusion: The results indicate that biodegradable PCL sub-microfibrous membrane produced by electrospinning process seems to have excellent biocompatibility, and may be used as a scaffold for bone tissue engineering.Keywords: Biocompatibility, Hard tissue, Biomaterial availability, Bone remodeling, Polylactic acid, Poly-ε-caprolactone, Osteoinductive potential, Sub-microfibrous membrane