• Title/Summary/Keyword: Bio-medical Engineering

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Fucoxanthin derivatives from Sargassum siliquastrum inhibit matrix metalloproteinases by suppressing NF-κB and MAPKs in human fibrosarcoma cells

  • Nguyen, Van-Tinh;Qian, Zhong-Ji;Lee, Bonggi;Heo, Soo-Jin;Kim, Kil-Nam;Jeon, You-Jin;Park, Won Sun;Choi, Il-Whan;Jang, Chul Ho;Ko, Seok-Chun;Park, Sun-Joo;Kim, Yong-Tae;Kim, GeunHyung;Lee, Dae-Sung;Yim, Mi-Jin;Je, Jae-Young;Jung, Won-Kyo
    • ALGAE
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    • v.29 no.4
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    • pp.355-366
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    • 2014
  • Fucoxanthin is known to be an effective cell proliferation inhibitor with anti-tumor and anti-angiogenic activities. However, there is a lack of data regarding the biological effects of cis isomers of fucoxanthin. To assess the potential therapeutic properties of 9'-cis-(6'R) fucoxanthin (FcA), and 13-cis and 13'-cis-(6'R) fucoxanthin complex (FcB) isolated from Sarggassum siliquastrum, we investigated their inhibitory effects on matrix metalloproteinases (MMPs) in phorbol 12-myristate 13-acetate (PMA)-induced human fibrosarcoma (HT1080) cells. FcA and FcB reduced MMP-2 and MMP-9 protein and mRNA levels, as well as the migration of these cells, in a dose-dependent manner. Additionally, FcA and FcB increased levels of MMPs inhibition factors such as tissue inhibitor of metalloproteinase-1. FcA and FcB significantly inhibited the transcriptional activity of nuclear factor ${\kappa}B$ (NF-${\kappa}B$) and by inhibiting c-Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinases. Our results demonstrate that suppression of the NF-${\kappa}B$, JNK, and p38 signaling pathways may inhibit PMA-induced MMP-2 and MMP-9 activity. Therefore, FcA and FcB may be useful in noninvasive therapeutic strategies against fibrosarcoma metastasis.

Effects of Genotype Mutation and Coat Color Phenotype on the Offspring from Mating System of MC1R Genotype Patterns in Korean Brindle Cattle (칡소의 MC1R의 유전자형에 따른 교배 조합이 자손의 모색과 유전자형 변이에 미치는 영향)

  • Kim, Sang-Hwan;Jung, Kyoung-Sub;Lee, Ho-Jun;Baek, Jun-Seok;Jung, Duk-Won;Kim, Dae-Eun;Yoon, Jong-Taek
    • Journal of Embryo Transfer
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    • v.28 no.3
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    • pp.215-222
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    • 2013
  • Bovine coat color is decided by the melanocortin receptor 1 (MC1R) genotype mutation and melanogenesis. Specially, in the various cattle breeds, dominant black coat color is expressed by dominant genotype of $E^D$, red or brown is expressed in the frame shift mutation of recessive homozygous e by base pair deletion and wild type of $E^+$ is expressed in various coat colors. However, not very well known about the effected of MC1R genotype mutation on the coat color through family lines in KBC. Therefore, this study were to investigate effect of MC1R genotype mutation on the coat color, and to suggest mating breed system in accordance with of MC1R genotype for increased on brindle coat color appearance. Parents (sire 2 heads and dam 3 heads) and offspring (total : 54 heads) from crossbreeding in KBC family line with the MC1R genotype and phenotype records were selected as experimental animals. The relationship between melanocortin 1 receptor (MC1R) genotypes expression verified by PCR-RFLP, and brindle coat color appearance to the family line of the cross mating breed from MC1R genotype pattern was determined. As a result, 4MC1R genetic variations, $E^+/E^+$ (sire 1), $E^+/e$ (sire 2 and dam 3), $E^+/e$ with 4 bands of 174, 207 and 328 bp (dam 1) and $E^+/e$ with 3 bands of 174, 207, 328 and 535 bp (dam 2) from parents (sire and dam) of KBC. However, 3 genetic variations, e/e (24%), $E^+/E^+$ (22%) and $E^+/e$ (56%) were identified in offspring. Also, brindle coat color expressrated was the e/e with the 0%, $E^+/E^+$ with 67% and $E^+/e$ with 77% from MC1R genotype in offspring on the cross mating of KBC. Furthermore, when the sire had $E^+/e$ genotype and the dam had $E^+/E^+$ with the 3 bands or $E^+/e$ genotype, and both had whole body-brindle coat color, 62% of the offspring had whole body-brindle coat color. Therefore, the seresults, the mating system from MC1R genotype patterns of the sires ($E^+/e$) and dams ($E^+/E^+$ with the 3 bands or $E^+/e$) with brindle coat color may have the highest whole body-brindle coat color expression in their offspring.

The Detection of Magnetic Properties in Blood and Nanoparticles using Spin Valve Biosensor (스핀밸브 바이오 센서를 이용한 혈액과 나노입자의 자성특성 검출)

  • Park, Sang-Hyun;Soh, Kwang-Sup;Ahn, Myung-Cheon;Hwang, Do-Guwn;Lee, Sang-Suk
    • Journal of the Korean Magnetics Society
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    • v.16 no.3
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    • pp.157-162
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    • 2006
  • In this study, a high sensitive giant magnetoresistance-spin valve (GMR-SV) bio-sensing device with high linearity and very low hysteresis was fabricated by photolithography and ion beam deposition sputtering system. Detection of the Fe-hemoglobin inside in a red blood and magnetic nanoparticles using the GMR-SV bio-sensing device was investigated. Here a human's red blood includes hemoglobin, and the nanoparticles are the Co-ferrite magnetic particles coated with a shell of amorphous silica which the average size of the water-soluble bare cobalt nanoparticles was about 9 nm with total size of about 50 nm. When 1 mA sensing current was applied to the current electrode in the patterned active GMR-SV devices with areas of $5x10{\mu}m^2 $ and $2x6{\mu}m^2 $, the output signals of the GMRSV sensor were about 100 mV and 14 mV, respectively. In addition, the maximum sensitivity of the fabricated GMR-SV sensor was about $0.1{\sim}0.8%/Oe$. The magnitude of output voltage signals was obtained from four-probe magnetoresistive measured system, and the picture of real-time motion images was monitored by an optical microscope. Even one drop of human blood and nanopartices in distilled water were found to be enough for detecting and analyzing their signals clearly.

Evaluation of the Accuracy for Respiratory-gated RapidArc (RapidArc를 이용한 호흡연동 회전세기조절방사선치료 할 때 전달선량의 정확성 평가)

  • Sung, Jiwon;Yoon, Myonggeun;Chung, Weon Kuu;Bae, Sun Hyun;Shin, Dong Oh;Kim, Dong Wook
    • Progress in Medical Physics
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    • v.24 no.2
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    • pp.127-132
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    • 2013
  • The position of the internal organs can change continually and periodically inside the body due to the respiration. To reduce the respiration induced uncertainty of dose localization, one can use a respiratory gated radiotherapy where a radiation beam is exposed during the specific time of period. The main disadvantage of this method is that it usually requests a long treatment time, the massive effort during the treatment and the limitation of the patient selection. In this sense, the combination of the real-time position management (RPM) system and the volumetric intensity modulated radiotherapy (RapidArc) is promising since it provides a short treatment time compared with the conventional respiratory gated treatments. In this study, we evaluated the accuracy of the respiratory gated RapidArc treatment. Total sic patient cases were used for this study and each case was planned by RapidArc technique using varian ECLIPSE v8.6 planning machine. For the Quality Assurance (QA), a MatriXX detector and I'mRT software were used. The results show that more than 97% of area gives the gamma value less than one with 3% dose and 3 mm distance to agreement condition, which indicates the measured dose is well matched with the treatment plan's dose distribution for the gated RapidArc treatment cases.

Improved Vapor Recognition in Electronic Nose (E-Nose) System by Using the Time-Profile of Sensor Array Response (센서 응답의 Time-Profile 을 이용한 전자 후각 (E-Nose) 시스템의 Vapor 인식 성능 향상)

  • Yoon Seok, Yang
    • Journal of Biomedical Engineering Research
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    • v.25 no.5
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    • pp.329-334
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    • 2004
  • The electronic nose (E-nose) recently finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. The odor recognition performance of E-nose can be improved by manipulating the sensor array responses of vapors in time-profile forms. The different chemical interactions between the sensor materials and the volatile organic compounds (VOC's) leave unique marks in the signal profiles giving more information than collection of the conventional piecemal features, i.e., maximum sensitivity, signal slopes, rising time. In this study, to use them in vapor recognition task conveniently, a novel time-profile method was proposed, which is adopted from digital image pattern matching. The degrees of matching between 8 different vapors were evaluated by using the proposed method. The test vapors are measured by the silicon-based gas sensor array with 16 CB-polymer composites installed in membrane structure. The results by the proposed method showed clear discrimination of vapor species than by the conventional method.

Evaluation of Classification Performance of Inception V3 Algorithm for Chest X-ray Images of Patients with Cardiomegaly (심장비대증 환자의 흉부 X선 영상에 대한 Inception V3 알고리즘의 분류 성능평가)

  • Jeong, Woo-Yeon;Kim, Jung-Hun;Park, Ji-Eun;Kim, Min-Jeong;Lee, Jong-Min
    • Journal of the Korean Society of Radiology
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    • v.15 no.4
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    • pp.455-461
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    • 2021
  • Cardiomegaly is one of the most common diseases seen on chest X-rays, but if it is not detected early, it can cause serious complications. In view of this, in recent years, many researches on image analysis in which deep learning algorithms using artificial intelligence are applied to medical care have been conducted with the development of various science and technology fields. In this paper, we would like to evaluate whether the Inception V3 deep learning model is a useful model for the classification of Cardiomegaly using chest X-ray images. For the images used, a total of 1026 chest X-ray images of patients diagnosed with normal heart and those diagnosed with Cardiomegaly in Kyungpook National University Hospital were used. As a result of the experiment, the classification accuracy and loss of the Inception V3 deep learning model according to the presence or absence of Cardiomegaly were 96.0% and 0.22%, respectively. From the research results, it was found that the Inception V3 deep learning model is an excellent deep learning model for feature extraction and classification of chest image data. The Inception V3 deep learning model is considered to be a useful deep learning model for classification of chest diseases, and if such excellent research results are obtained by conducting research using a little more variety of medical image data, I think it will be great help for doctor's diagnosis in future.

Implementation of Smart Healthcare Device for Maximizing an Medical Impediment Care Effectiveness in Evacuation and Urination (배변·배뇨장애 치료효과를 극대화한 스마트 헬스케어장치 구현)

  • Xiang, Zhao;Gang, Byung-Mo;Yoon, Dal-Hwan
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.21-28
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    • 2018
  • In this paper, we have developed the intellectual kegel trainer with the bio-feedback. The one is smart health care system that can treat an evacuation impediment and urination polyuria with the low frequency stimulation module. Then this detects the shrinkage power of the pelvis muscles and correlates an smart phone entertainment application program for the users. In order to recover the function of pelvic muscles, we use the intellectual smart health care trainer with several biofeedback function. Such a trainer makes to strength the weakness pelvic muscles by biofeedback training and get exercise the pelvic muscles in physical suppress. The biofeedback training against the physical suppress can have strengthen the pelvic muscles and can display the operation graph of strengthen movement in monitor. Finally, It can be ensured the safety through EMI and performance test.

Changes in Breast-tumor Blood Flow in Response to Hypercapnia during Chemotherapy with Laser Speckle Flowmetry

  • Kim, Hoonsup;Lee, Youngjoo;Lee, Songhyun;Kim, Jae Gwan
    • Current Optics and Photonics
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    • v.3 no.6
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    • pp.555-565
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    • 2019
  • Development of a biomarker for predicting tumor-treatment efficacy is a matter of great concern, to reduce time, medical expense, and effort in oncology therapy. In a preclinical study, we hypothesized that the blood-flow parameter based on laser speckle flowmetry (LSF) could be a potential indicator to estimate the efficacy of breast-cancer treatment. To verify this hypothesis, a 13762-MAT-B-III rat breast tumor was grown in a dorsal skinfold window chamber applied to a nude mouse, and the change in blood flow rate (BFR) - or the speckle flow index (SFI) is used together as the same meaning in this manuscript - was longitudinally monitored during tumor growth and metronomic cyclophosphamide treatment. Based on the daily LSF angiogram, several BFR parameters (baseline SFI, normalized SFI, and △rBFR) were compared to tumor size in the normal, treated, and untreated tumor groups. Despite the incomplete tumor treatment, we found that the daily changes in all BFR parameters tended to have partially positive correlation with tumor size. Moreover, we observed that the changes in baseline SFI and normalized SFI responded one day earlier than the tumor shrinkage during chemotherapy. However, daily variations in the hypercapnia-induced △rBFR lagged tumor shrinkage by one day. This study would contribute not only to evaluating tumor vascular response to treatment, but also to monitoring blood-flow-mediated diseases (in brain, skin, and retina) by using LSF in preclinical settings.

Studies on the Wave Propagation and Fluctuation in Randomly Ditribution Media of L-Aspartic Acid (L-Aspartic Acid의 무질서하게 분포된 매질에서 파동전개와 변동에 관한 연구)

  • Kim, Ki-Jun;Lee, Joo-Youb
    • Journal of the Korean Applied Science and Technology
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    • v.29 no.1
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    • pp.122-128
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    • 2012
  • The influences of fluorescence, scattering, and flocculation in turbid material by light scattering of L-aspartic acid, preservative and emulsifier were interpreted for the scattered fluorescence intensity and wavelength. They have been studied the molecular properties by the spectroscopy of laser induced fluorescence (LIF) and flocculation. The effects of optical properties in scattering media have been found by the optical parameters(${\mu}_s$, ${\mu}_a$, ${\mu}_t$). Flocculation is an important step in many solid-liquid separation processes and is widely used. When two particles approach each other, interactions of several colloid particles can come into play which may have major effect on the flocculation and LIF process. The values of scattering coefficient ${\mu}_s$ are large by means of the increasing scattering of scatterer, The values have been found that the slope decays exponentially as a function of concentration from laser source to detector by our experimental result. It may also aid in designing the best model for oil chemistry, bio-pharmaceutical products, laser medicine and application of medical engineering on LIF and coagulation in particle transport mode.

Biodevice Technology (바이오소자 기술)

  • Choi, Jeong-Woo;Lee, Bum-Hwan
    • Korean Chemical Engineering Research
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    • v.44 no.1
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    • pp.1-9
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    • 2006
  • Biodevices composed of biomolecular layer by mimicking the natural functions of cells and the interaction mechanisms of the constituted biomolecules have been developed in various industrial fields such as medical diagnosis, drug screening, electronic device, bioprocess, and environmental pollution detection. To construct biodevices such as bioelectronic devices (biomolecular diode, bio-information storage device and bioelectroluminescence device), protein chip, DNA chip, and cell chip, biomolecules including DNA, protein, and cells have been used. Fusion technology consisting of immobilization technology of biomolecules, micro/nano-scale patterning, detection technology, and MEMs technology has been used to construct the biodevices. Recently, nanotechnology has been applied to construct nano-biodevices. In this paper, the current technology status of biodevice including its fabrication technology and applications is described and the future development direction is proposed.