• Title/Summary/Keyword: Artificial Liver

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The Concept of Artificial Liver Support by Using the Extracorporeal Circulation System

  • Cheon, Min-Woo
    • Transactions on Electrical and Electronic Materials
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    • v.16 no.1
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    • pp.25-28
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    • 2015
  • In this study, a basic research on artificial liver was performed for its application to people on the waiting list of liver transplant or patients with hepatic insufficiency. Artificial livers are generally classified into mechanic type, bioartificial type, and hybrid type. An extracorporeal circulation device was examined herein, which is indispensable in the application of an artificial liver, for its effectiveness in supporting the recovery of liver functions. Extracorporeal circulation system is a treatment and life-support system which sends out the patient's blood, removes toxicity by various methods, and then sends the blood back to the interior of the body. This study used an extracorporeal circulation system which enables the Plasma Perfusion by CVVH method, and applied the program of Bioateco corp. Animals with acute hepatic insufficiency were produced to apply the extracorporeal circulation device. As a result, their ammonia, bilirubin, SGOT, SGPT, and bile acid levels rose, confirming the liver function restoration in the experimental animals.

APPLICATION OF THREE DIMENSIONAL CULTURE OF ADULT RAT HAPATOCYTES IN POLYURETHANE FOAM PORES FOR AN ARTIFICIAL LIVER SUPPORT SYSTEM

  • Funatsu, K.;Matsushita, T.;Ijima, H.;Iwahashi, T.
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1994.04a
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    • pp.137-144
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    • 1994
  • Spherical multicellular aggregates of adult rat hepatocytes (spheroid) which have tissue like structure, were formed and immobilized in the pores of polyurethane foam (PUF) which was used as a culture substratum. These hepatocyte/spheroids, about 100 $\mu\textrm{m}$ in diameter, have maintained higher differentiated functions than those of hepatocyte/monolayer for about 3 weeks in serum-free medium. Then, we designed a prototype module of an artificial liver support system using a PUF/spheroid packed-bed, in which hepatocyte/spheroids were immobilized at high density. The urea synthesis activity of the artificial liver was maintained at least 10 days in 100% rat blood plasma. We start examining the performance of hybrid artificial liver in an ex vivo extracorporeal experiment with an acute hepatic failure rat.

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Non-alcoholic Fatty Liver Disease Classification using Gray Level Co-Ocurrence Matrix and Artificial Neural Network on Non-alcoholic Fatty Liver Ultrasound Images (비알콜성 지방간 초음파 영상에 GLCM과 인공신경망을 적용한 비알콜성 지방간 질환 분류)

  • Ji-Yul Kim;Soo-Young Ye
    • Journal of the Korean Society of Radiology
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    • v.17 no.5
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    • pp.735-742
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    • 2023
  • Non-alcoholic fatty liver disease is an independent risk factor for the development of cardiovascular disease, diabetes, hypertension, and kidney disease, and the clinical importance of non-alcoholic fatty liver disease has recently been increasing. In this study, we aim to extract feature values by applying GLCM, a texture analysis method, to ultrasound images of patients with non-alcoholic fatty liver disease. By applying an artificial neural network model using extracted feature values, we would like to classify the degree of fat deposition in non-alcoholic fatty liver into normal liver, mild fatty liver, moderate fatty liver, and severe fatty liver. As a result of applying the GLCM algorithm, the parameters Autocorrelation, Sum of squares, Sum average, and sum variance showed a tendency for the average value of the feature values to increase as it progressed from mild fatty liver to moderate fatty liver to severe fatty liver. The four parameters of Autocorrelation, Sum of squares, Sum average, and sum variance extracted by applying the GLCM algorithm to ultrasound images of non-alcoholic fatty liver disease were applied as inputs to the artificial neural network model. The classification accuracy was evaluated by applying the GLCM algorithm to the ultrasound images of non-alcoholic fatty liver disease and applying the extracted images to an artificial neural network, showing a high accuracy of 92.5%. Through these results, we would like to present the results of this study as basic data when conducting a texture analysis GLCM study on ultrasound images of patients with non-alcoholic fatty liver disease.

Necroptosis Is a Mechanism of Death in Mouse Induced Hepatocyte-Like Cells Reprogrammed from Mouse Embryonic Fibroblasts

  • Lee, Yun-Suk;Park, Kyung-Mee;Yu, Lina;Kwak, Ho-Hyun;Na, Hee-Jun;Kang, Kyung-Sun;Woo, Heung-Myong
    • Molecules and Cells
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    • v.41 no.7
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    • pp.639-645
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    • 2018
  • Liver transplantation is recommended for patients with liver failure, but liver donors are limited. This necessitates the development of artificial livers, and hepatocytes are necessary to develop such artificial livers. Although induced hepatocyte-like cells are used in artificial livers, the characteristics of mouse induced hepatocyte-like cells (miHeps) reprogrammed with embryonic fibroblasts have not yet been clarified. Therefore, this study investigated the mechanisms underlying the survival, function, and death of miHeps. miHeps showed decreased cell viability, increased cytotoxicity, decreased hepatic function, and albumin and urea secretion at passage 14. Addition of necrostatin-1 (NEC-1) to miHeps inhibited necrosome formation and reactive oxygen species generation and increased cell survival. However, NEC-1 did not affect the hepatic function of miHeps. These results provide a basis for development of artificial livers using hepatocytes.

Resveratrol enhances cisplatin-induced apoptosis in human hepatoma cells via glutamine metabolism inhibition

  • Liu, Zhaoyuan;Peng, Qing;Li, Yang;Gao, Yi
    • BMB Reports
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    • v.51 no.9
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    • pp.474-479
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    • 2018
  • Cisplatin is one of the most effective chemotherapeutic drugs used in the treatment of HCC, but many patients will ultimately relapse with cisplatin-resistant disease. Used in combination with cisplatin, resveratrol has synergistic effect of increasing chemosensitivity of cisplatin in various cancer cells. However, the mechanisms of resveratrol enhancing cisplatin-induced toxicity have not been well characterized. Our study showed that resveratrol enhances cisplatin toxicity in human hepatoma cells via an apoptosis-dependent mechanism. Further studies reveal that resveratrol decreases the absorption of glutamine and glutathione content by reducing the expression of glutamine transporter ASCT2. Flow cytometric analyses demonstrate that resveratrol and cisplatin combined treatment leads to a significant increase in ROS production compared to resveratrol or cisplatin treated hepatoma cells alone. Phosphorylated H2AX (${\gamma}H2AX$) foci assay demonstrate that both resveratrol and cisplatin treatment result in a significant increase of ${\gamma}H2AX$ foci in hepatoma cells, and the resveratrol and cisplatin combined treatment results in much more ${\gamma}H2AX$ foci formation than either resveratrol or cisplatin treatment alone. Furthermore, our studies show that over-expression of ASCT2 can attenuate cisplatin-induced ROS production, ${\gamma}H2AX$ foci formation and apoptosis in human hepatoma cells. Collectively, our studies suggest resveratrol may sensitize human hepatoma cells to cisplatin chemotherapy via gluta${\gamma}H2AX$mine metabolism inhibition.

A Study on the Liver and Tumor Segmentation and Hologram Visualization of CT Images Using Deep Learning (딥러닝을 이용한 CT 영상의 간과 종양 분할과 홀로그램 시각화 기법 연구)

  • Kim, Dae Jin;Kim, Young Jae;Jeon, Youngbae;Hwang, Tae-sik;Choi, Seok Won;Baek, Jeong-Heum;Kim, Kwang Gi
    • Journal of Korea Multimedia Society
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    • v.25 no.5
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    • pp.757-768
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    • 2022
  • In this paper, we proposed a system that visualizes a hologram device in 3D by utilizing the CT image segmentation function based on artificial intelligence deep learning. The input axial CT medical image is converted into Sagittal and Coronal, and the input image and the converted image are divided into 3D volumes using ResUNet, a deep learning model. In addition, the volume is created by segmenting the tumor region in the segmented liver image. Each result is integrated into one 3D volume, displayed in a medical image viewer, and converted into a video. When the converted video is transmitted to the hologram device and output from the device, a 3D image with a sense of space can be checked. As for the performance of the deep learning model, in Axial, the basic input image, DSC showed 95.0% performance in liver region segmentation and 67.5% in liver tumor region segmentation. If the system is applied to a real-world care environment, additional physical contact is not required, making it safer for patients to explain changes before and after surgery more easily. In addition, it will provide medical staff with information on liver and liver tumors necessary for treatment or surgery in a three-dimensional manner, and help patients manage them after surgery by comparing and observing the liver before and after liver resection.

Radiomics and Deep Learning: Hepatic Applications

  • Hyo Jung Park;Bumwoo Park;Seung Soo Lee
    • Korean Journal of Radiology
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    • v.21 no.4
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    • pp.387-401
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    • 2020
  • Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hypertension, characterizing focal hepatic lesions, prognosticating malignant hepatic tumors, and segmenting the liver and liver tumors. In this review, we outline the basic technical aspects of radiomics and deep learning and summarize recent investigations of the application of these techniques in liver disease.

Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning (머신러닝기반 간 경화증 진단을 위한 웹 서비스 개발)

  • Noh, Si-Hyeong;Kim, Ji-Eon;Lee, Chungsub;Kim, Tae-Hoon;Kim, KyungWon;Yoon, Kwon-Ha;Jeong, Chang-Won
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.10
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    • pp.285-290
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    • 2021
  • In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

Novel Alternative Methods in Toxicity Testing

  • Satoh, Tetsuo
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1994.04a
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    • pp.129-130
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    • 1994
  • The science of toxicology is the understanding of the mechanisms by which exogenous agents produce deleterious effects in biological systems. The actions of chemicals such as drugs are ultimately exerted at the cellular and gene levels. Over the past decade. several in vitro alternative methods such as cultured cells for assessing the toxicity of various xenobiotics have been proposed to reduce the use of animals. In this workshop three advanced methods will be presented. These methods are novel important models for toxicologic studies. Dr. Tabuchis group has establishcd two immortalized gastric surface mucosa cell lines from the pminary cultore of gastric fundic mucosal cells of adult transgenic mice harboring a temperature sensitive simian virus 40 large T-anugen gene. As the immortalized cell lines of various tissues possess unique characteristics to maintain their normal functions for several months, these cell lines are extremely useful for not only toxicity testing but also pharmacological screening in new drug development. Professor Funatsu have studied the formation of spherical multicelluar aggregates of adult rat hepatocytes(spheroid) having tissue like structure. The sphcroid shown thre is a prototype module of an artificial liver support system. Thus, the urea synthesis activity of the artificial liver was maintained at least to days in 100% rat blood plasma. Dr. Takezawa and his coworkers have developed a novel culture system of multicellular spheroids considered 〃organoids〃 by utilizing a thermo-responsive polymer as a substratum of anchorage dependent cells. His final goal is to reconstitute the organoids of various normal organs, e.g., liver, skin etc. and also abnormal deseased organs such as tumor.

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Development of Artificial Diets for Green Lacewing, Chrysopa pallens (Rambur), by Addition of Natural Products (천연첨가물을 이용한 칠성풀잠자리붙이 인공사료 개발)

  • 최만영;이건휘;백채훈;이종진
    • Korean journal of applied entomology
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    • v.39 no.2
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    • pp.99-103
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    • 2000
  • The green lacewing, Chrysopa pallens (Rambur), was reared on artificial diets supplementedwith natural products such as lyophilized beef liver, silk worm pupae powder and drone honey beepowder. The performance of the green lacewing was improved siginificantly on only the diet to whichadded 1 % of silk worm pupae powder (wt/v). Larval developement was completed in 15.6 f 0.99 days,cocoon weight was 16.4f2.94 mg, and suvival to adult was 89.3% at 27$^{\circ}$C. And another diet made bymixing 4 part of lyophilized beef liver powder, 4 part of lyophilized beef powder, 3 part of lyophilizedchicken egg, 4 part of sucrose, and 50 mg each of vitamin C and Vanderzant's vitamin B mixture waspromising. Larval development of the green lacewing on this diet was completed in 12.7 f 1.45 days at27"C, pupal weight was 18.1 f 2.24mg, suvival to adult was loo%, and 633f70.4 eggs were laid in 20days after beginning of oviposition.ginning of oviposition.

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