Yonsei medical journal
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Yonsei medical journal · Nov 2021
Characterization of Ferric Chloride-Induced Arterial Thrombosis Model of Mice and the Role of Red Blood Cells in Thrombosis Acceleration.
The ferric chloride (FeCl3)-induced thrombosis model is widely used for thrombosis research. However, it lacks standardization with uncertainty in the exact mechanism of thrombosis. This study aimed to characterize thrombus formation in a mouse model. ⋯ Faster and larger thrombus formation is induced in a dose-dependent manner by a wide range of FeCl3 concentrations, but the stable thrombus formation requires higher FeCl3 concentrations. Mouse strain affects thrombus formation and stability. RBCs and their interaction with platelets play a key role in the acceleration of FeCl3-induced thrombosis.
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The skin is the first line of defense of our body, and it is composed of the epidermis and dermis with diverse immune cells. Various in vitro models have been investigated to recapitulate the immunological functions of the skin and to model inflammatory skin diseases. The simplest model is a two-dimensional (2D) co-culture system, which helps understand the direct and indirect cell-to-cell interactions between immune and structural cells; however, it has limitations when observing three-dimensional (3D) interactions or reproducing skin barriers. ⋯ A microfluidic culture device called "skin-on-a-chip," which simulates the structures and functions of the human skin with perfusion, was also developed to mimic immune cell migration through the vascular system. This review summarizes the in vitro skin models with immune components, focusing on two highly prevalent chronic inflammatory skin diseases: atopic dermatitis and psoriasis. The development of these models will be valuable in studying the pathophysiology of skin diseases and evaluating the efficacy and toxicity of new drugs.
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Yonsei medical journal · Nov 2021
Clinical TrialA Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm.
This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the Korean Ministry of Food and Drug Safety as an artificial intelligence-applied software. ⋯ The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.
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Yonsei medical journal · Nov 2021
Indocyanine Green-Loaded PLGA Nanoparticles Conjugated with Hyaluronic Acid Improve Target Specificity in Cervical Cancer Tumors.
Indocyanine green (ICG) is a promising agent for intraoperative visualization of tumor tissues and sentinel lymph nodes in early-stage gynecological cancer. However, it has some limitations, including a short half-life and poor solubility in aqueous solutions. This study aimed to enhance the efficacy of near-infrared (NIR) fluorescence imaging by overcoming the shortcomings of ICG using a nano-drug delivery system and improve target specificity in cervical cancer. ⋯ This study demonstrated the successful application of HINPs as nanocarriers for delivering ICG to CD44-positive cervical cancer, with improved efficacy in NIR fluorescence imaging.
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Yonsei medical journal · Nov 2021
Developing a Dementia Platform Databank Using Multiple Existing Cohorts.
This study was conducted as a pilot project to evaluate the feasibility of building an integrate dementia platform converging preexisting dementia cohorts from several variable levels. The following four cohorts were used to develop this pilot platform: 1) Clinical Research Center for Dementia of South Korea (CREDOS), 2) Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's disease (K-BASE), 3) Environmental Pollution-induced Neurological Effects (EPINEF) study, and 4) a prospective registry in Dementia Platform Korea project (DPKR). A total of 29916 patients were included in the platform with 348 integrated variables. ⋯ Although individual cohorts were of the same domain and of high quality, we found there were several barriers to integrating individual cohorts, including variability in study variables and measurements. Although many researchers are trying to combine pre-existing cohorts, the process of integrating past data has not been easy. Therefore, it is necessary to establish a protocol with considerations for data integration at the cohort establishment stage.