• Title/Summary/Keyword: 신호추출

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Desmarestia tabacoides Ameliorates Lipopolysaccharide-induced Inflammatory Responses via Attenuated TLR4/MAPKs/NF-κB Signaling Cascade in RAW264.7 Cells (RAW 264.7 세포에서 담배잎산말의 TLR4/MAPKs/NF-κB 신호전달체계 조절을 통한 항염증 효과)

  • Hyun-Seo Yoon;Hyun An;Chung Mu Park
    • Journal of Life Science
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    • v.33 no.6
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    • pp.463-470
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    • 2023
  • Desmarestia tabacoides Okamura is a brown macroalgae that is found worldwide. Although several genera of Desmarestia have been reported as having anti-tumorigenic, anti-melanogenic, and photoprotective properties, the anti-inflammatory activity of D. tabacoides Okamura has not yet been evaluated. In this study, we analyzed the anti-inflammatory mechanisms of D. tabacoides Okamura ethanol extract (DTEE) via the inhibition of nitric oxide (NO) and prostaglandin (PG) E2 production and the expression of their corresponding enzymes, inducible NO synthase (iNOS), and cyclooxygenase (COX)-2. In addition, their upstream signaling molecules were evaluated by Western blot analysis, such as nuclear factor (NF)-κB, mitogen-activated protein kinase (MAPK), and phosphoinositide-3-kinase (PI3K)/Akt, in lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. The DTEE treatment significantly inhibited LPS-induced NO and PGE2 production as well as the expression of their corresponding enzymes, iNOS, and COX-2 without cytotoxicity. The stimulated transcription factor NF-κB and upstream signaling molecules extracellular signal-regulated kinase (ERK), c-Jun NH2-terminal kinase (JNK), and p38 were attenuated by the DTEE treatment, which was statistically significant, while Akt did not provide any inhibitory effect. Moreover, the DTEE treatment significantly mitigated the LPS-activated adaptor molecules, toll-like receptor 4 (TLR4), and myeloid differentiation primary response 88 (MyD88) in the RAW 264.7 cells. These results suggest that DTEE attenuates TLR4-mediated inflammatory responses by inhibiting NF-κB activation and suppressing MAPK phosphorylation in LPS-stimulated RAW 264.7 cells.

Analysis of Useful Materials of Resource Plant, Lespedeza cuneata. G. don and Utilization as Functional Food (자원식물인 비수리의 유용물질 분석 및 기능성 식품으로써의 활용)

  • Ahn, C.H.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.19 no.1
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    • pp.99-108
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    • 2017
  • It is Lespedeza cuneata. G. don used as a remedy for cough, asthma, premature ejaculation and so on, though it has been used for a long time. In order to investigate the possibility of using Lespedeza cuneata. G. don as a raw material for functional food, we examined useful substances through analysis. In the study, 124 useful substances were analyzed and 84 of them were found to be functional. In 6 species, 6 of them were found to be functional and 5 of them were functional. In the present study, the other useful substance, D-pinitol, also confirmed its functionality. Potassium isolespedezate and Potassium lespedezate act as antibiotics, Trifolin acts as an antibiotic and hepatoprotectant, and Vitexin acts as a hepatoprotectant. D-pinitol has shown excellent efficacy in patients with prediabetic and insulin-resistant diabetes. As it contains a large amount of useful substances, it can be utilized as a highly functional food.

Immunomodulatory Activity of Water Extract of Ulmus macrocarpa in Macrophages (유근피 추출물이 대식세포 면역조절에 미치는 영향)

  • Kwon, Da Hye;Kang, Hye-Joo;Choi, Yung Hyun;Chung, Kyung Tae;Lee, Jong Hwan;Kang, Kyung Hwa;Hyun, Sook Kyung;Kim, Byung Woo;Hwang, Hye Jin
    • Journal of Life Science
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    • v.26 no.1
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    • pp.50-58
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    • 2016
  • The root bark of Ulmus macrocarpa has been used in traditional medicine for the treatment of various diseases such as edema, infection and inflammation. Nevertheless, the biological activities and underlying mechanisms of the immunomodulatory effects remain unclear. In this study, as part of our ongoing screening program to evaluate the immunomodulatory potential of new compounds from traditional medicinal resources, we investigated the effects of U. macrocarpa water extract (UME) on immune modulation in a murine RAW 264.7 macrophage model. As immune response parameters, the productions of as nitric oxide (NO) and cytokines such tumor necrotic factor (TNF)-α, interleukin (IL)-1β and IL-10 were evaluated. Although the release of IL-1β remained unchanged in UME-treated RAW 264.7 macrophages, the productions of NO, TNF-α and IL-10 were significantly increased, along with the increased expression of inducible NO synthase, TNF-α and IL-10 expression at concentrations with no cytotoxicity. UME treatment also induced the nuclear translocation of nuclear factor κB (NF-κB), and phosphorylation of Akt and mitogen-activated protein kinases (MAPKs) indicating that UME activated macrophages through the activation of NF-κB, phosphoinositide-3-kinase (PI3K)/Akt and MAPKs signaling pathways in RAW 264.7 macrophages. Furthermore, pre-treatment with UME significantly attenuated the production of NO, but not TNF-α, IL-1β and IL-10, in lipopolysaccharide-stimulated RAW 264.7 cells suggesting that UME may be useful in preventing inflammatory diseases mediated by excessive production of NO. These findings suggest that the beneficial therapeutic effects of UME may be attributed partly to its ability to modulate immune functions in macrophages.

A Study of the Anti-inflammatory Effect of Protein Derived from Tenebrio molitor Larvae (알칼리 법으로 추출한 갈색거저리 유충 단백질의 항염증 효능)

  • Seo, Minchul;Lee, Hwa Jeong;Lee, Joon Ha;Baek, Minhee;Kim, In-Woo;Kim, Sun Young;Hwang, Jae-Sam;Kim, Mi-Ae
    • Journal of Life Science
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    • v.29 no.8
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    • pp.854-860
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    • 2019
  • This study investigated the optimum pH conditions for efficient extraction of protein from defatted Tenebrio molitor (TM) larvae. We examined the anti-inflammatory effect of protein derived from defatted TM larvae obtained by an alkaline extraction method. Six extraction pH values (7, 8, 9, 10, 11, and 12) and three precipitation pH values (2, 4, and 6) were used. The protein content, browning degree, and recovery yield of the protein obtained under each pH condition were determined. For efficient extraction of protein from defatted TM larvae, a combination of an extraction pH of 9 and precipitation pH of 4 resulted in a 32.4% recovery yield based on the extraction value and degree of browning. To determine whether the protein ameliorated inflammation by inhibition of macrophage activation by lipopolysaccharides (LPS), we measured nitric oxide (NO), cyclooxygenase-2 (COX-2), and inducible nitric oxide synthase (iNOS) expression in LPS-stimulated raw 264.7 macrophage cells. The protein markedly inhibited the production of NO without cytotoxicity and reduced the expression level of COX-2 and iNOS protein through the regulation of mitogen-activated protein kinases (MAPKs) and nuclear factor kappa B ($NF-{\kappa}B$) signaling. These results suggested that protein derived from TM larvae could have potential applications in anti-inflammatory therapeutic agents and protein supplements.

Voice-Pishing Detection Algorithm Based on Minimum Classification Error Technique (최소 분류 오차 기법을 이용한 보이스 피싱 검출 알고리즘)

  • Lee, Kye-Hwan;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.138-142
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    • 2009
  • We propose an effective voice-phishing detection algorithm based on discriminative weight training. The detection of voice phishing is performed based on a Gaussian mixture model (GMM) incorporaiting minimum classification error (MCE) technique. Actually, the MCE technique is based on log-likelihood from the decoding parameter of the SMV(Selectable Mode Vocoder) directly extracted from the decoding process in the mobile phone. According to the experimental result, the proposed approach is found to be effective for the voice phishing detection.

A gene filtering method based on fuzzy pattern matching for whole genome microarray data analysis (마이크로어레이 데이터의 게놈수준 분석을 위한 퍼지 패턴 매칭에 의한 유전자 필터링 방법)

  • Lee, Seon-A;Lee, Geon-Myeong;Lee, Seung-Ju;Kim, Won-Jae;Kim, Yong-Jun;Bae, Seok-Cheol
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.11a
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    • pp.145-148
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    • 2007
  • 생명과학분야에서 마이크로어레이 기술은 세포에서의 RNA 발현 프로파일을 관찰할 수 있도록 함으로써 생명현상의 규명 및 약물개발 둥에서 분자수준의 생명현상에 대한 관찰과 분석이 가능 해지고 있다. 마이크로어레이 데이터분석에서는 특정한 처리나 과정에서 현저한 특성을 보이는 유전자를 식별하기 위한 분석뿐만 아니라 유전자 전체인 게놈수준에서의 분석도 이루어진다. 최근 유전자의 발현이 다양한 조절, 신호전달 및 대사경로에 의해서 영향을 받고 있다는 관점에서 게놈수준의 분석에 관심이 증가하고 있다. 약물반응 실험에서는 약물에 대한 게놈수준의 발현 프로파일을 관찰하는 것도 많은 정보를 제공할 수 있다. 약물실험에서는 대조군과 실험군들간에 관심 있는 상대적인 발현특성을 갖는 유전자군을 전체적으로 추출하는 것이 필요한 경우가 있다. 예를 들면 정상군은 두개의 실험군에 대해서 중간청도의 발현정도를 갖는 유전자군을 식별하는 분석을 하는 경우, 생물학적인 데이터의 특성상 절대값을 비교하는 방법으로는 유용한 유전자들을 효과적으로 식별해 낼 수 없다. 이 논문에서는 정상군과 실험군들의 발현정도값의 경향을 판단하기 위해서 각 유전자에 대해서 집단별 대표값을 선정하여 퍼지집합으로 집단의 값의 범위를 결정하고, 이를 이용하여 특정 패턴을 갖는 유전자들을 식별해내는 방법을 제안하고, 실제 데이터를 통해서 실험한 결과를 보인다.

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Evaluation of motion smoothness for flexion and extension of arms due to weights of objects (물체 무게에 따른 팔의 굽힘(flexion)과 폄(extension)운동에 대한 동작의 부드러움 측정)

  • Park, Sang-Yun;Choe, Mi-Hyeon;Lee, Su-Jeong;Yang, Jae-Ung;Choe, Jin-Seung;Mun, Gyeong-Ryul;Tak, Gye-Rae;Jeong, Sun-Cheol
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.11a
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    • pp.251-253
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    • 2009
  • 본 연구에서는 팔의 굽힘(flexion)과 폄(extension)운동 시 물체의 무게에 따른 저크의 변화를 통해 부드러움을 정량화하고, 물체무게와 움직임의 형태(type)에 따른 동작의 부드러움을 비교하고자 한다. 10 명의 오른손잡이 남자 대학생(평균 $24.8{\pm}1.1$ 세)을 실험 참여자로 선정하였다. 물체무게(0g, 1000g)와 움직임의 형태(손등 위/아래)를 달리하여 팔의 굽힘과 폄 운동을 실시하였다. 또한 3 축 가속도 센서를 이용하여 x 와 z 축의 가속도를 측정하였고, 측정된 신호로 부터 저크값을 추출 하였다. 실험은 총 8 분으로 4 개의 block 으로 구성되며 각 block 은 resting 구간 1 분과 lifting 구간 1 분으로 구성된다. 실험 결과 물체무게 0g 에 비해 1000g 에서 가속도와 정규저크 값이 유의미하게 감소하였다.

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Encryption of Specific Area in Digital Contents for Improving Speed of Cipher (암호화 속도 향상을 위한 디지털 콘텐츠의 특징 영역 암호화)

  • Cho, Sang-Il;Hong, Kwang-Jin;Jung, Kee-Chul
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.148-150
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    • 2005
  • 디지털 영상 콘텐츠는 쉽고 빠르게 복제와 전송이 가능하기 때문에 다수의 사용자가 동일한 콘텐츠를 공유하는 것이 가능하다. 이러한 디지털 콘텐츠의 특징은 많은 디지털 영상 콘텐츠 제작자의 창작 의욕을 저하시키고 콘텐츠 산업 발달을 저해하는 원인이 되고 있다. 따라서 최근 디지털 콘텐츠의 보호를 위한 다양한 연구가 활발하게 이루어지고 있다. 그러나 기존의 가산 암호 방식은 암호의 비도면에서 영상 암호화에 사용된 암호키를 추정할 수 있다는 단점이 있으며 난수 정보가 해독될 우려가 있다. 또한 주사선내 신호 절환 방식은 원영상의 히스토그램 정보를 그대로 담고 있어 암호화된 영상의 히스토그램 정보로 원영상의 종류를 추정할 수 있는 단점이 있고 블록간의 상관 관계를 계산하여 해독할 수 있다는 단점이 있다. 본 논문에서는 디지털 영상 콘텐츠의 특정 영역을 추출하고 이 영역에 대한 암호화를 함으로써, 새로운 암호 알고리즘의 개발 없이 기존의 알고리즘을 이용하여 암호화 속도를 개선하고 안전성을 향상시킬 수 있다.

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Performance Analysis of an Efficient Frame Synchronization Scheme using FFT Window Position Restoration Algorithm for OFDM Systems (OFDM System에서 FFT 윈도우 위치 복원 알고리즘을 이용한 효율적인 프레임 동기방식의 성능분석)

  • Kim, Dong Ok;Yoon, Chong Ho
    • Journal of Advanced Navigation Technology
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    • v.5 no.1
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    • pp.45-53
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    • 2001
  • We present the frame synchronization scheme using the FFT window position restoration algorithm appropriate for wireless OFDM systems under multipath fading environment. From the restoration of the synchronization parameters of previous several frames, the algorithm can extract the synchronization parameters for the next frames. To analyze the performance of the proposed algorithm, we compare the probability of synchronization failure under time and frequency domains, respectively. From the simulation results, one can see that the algorithm in the time domain shows better performance than in the frequency one, for the $E_b/N_o$ of 6.0dB or more.

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Packet Loss Concealment Algorithm Based on Robust Voice Classification in Noise Environment (잡음환경에 강인한 음성분류기반의 패킷손실 은닉 알고리즘)

  • Kim, Hyoung-Gook;Ryu, Sang-Hyeon
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.1
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    • pp.75-80
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    • 2014
  • The quality of real-time Voice over Internet Protocol (VoIP) network is affected by network impariments such as delays, jitters, and packet loss. This paper proposes a packet loss concealment algorithm based on voice classification for enhancing VoIP speech quality. In the proposed method, arriving packets are classified by an adaptive thresholding approach based on the analysis of multiple features of short signal segments. The excellent classification results are used in the packet loss concealment. Additionally, linear prediction-based packet loss concealment delivers high voice quality by alleviating the metallic artifacts due to concealing consecutive packet loss or recovering lost packet.