• Journal of Periodontal and Implant Science
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• v.51 no.1
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• pp.3-17
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• 2021

Purpose: The pathology of peri-implantitis is still not fully understood and there have been recent challenges to the consensus on its aetiology and pathology, especially in comparison with periodontitis. The assessment of biomarkers allows a comparison of the pathology of these diseases. The aim of this systematic review was to answer the research question: "Is there a difference in the biomarkers associated with peri-implantitis compared with periodontitis in adult humans?" Methods: Electronic databases were searched and screened, and a manual search was also undertaken. The inclusion criteria were adults with peri-implantitis who had been compared to adults with periodontitis with the outcome of biomarkers assessed via biopsies or crevicular fluid samples in primary or secondary care settings, as recorded in case-control, case series and retrospective, prospective and cross-sectional observational studies. Two reviewers independently screened titles and abstracts and assessed full text articles for eligibility and inclusion. Both reviewers independently extracted data and assessed risk of bias. Differences in biomarker levels were the primary outcome and a narrative review was undertaken due to the heterogeneity of studies. Results: In total, 2,374 articles were identified in the search, of which 111 full-text articles were assessed for eligibility and 13 were included in the qualitative synthesis. Five of the 13 included studies were deemed to be at high risk of bias, with the others having moderate risk. All studies were cross-sectional and performed at university hospitals. Nine of the 13 included studies found significant differences in the levels of biomarkers or their ratios between periimplantitis and periodontitis. Four of the studies found no significant differences. Conclusions: Within the limitations of the included studies, it appears that there may be a difference in biomarker levels and ratios between peri-implantitis and periodontitis, suggesting that these disease processes are somewhat distinct.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.238-241
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• 2017

본 논문에서는 구글 학술 검색 기반의 데이터를 이용하여 질병과 폐질환과 관련된 바이오마커 단어의 유사도를 계산하는 방법을 제안한다. 질병과 바이오마커의 유사도를 계산할 때, 각 단어의 구글 학술 검색의 검색 결과를 이용하였다. 이를 통해 폐질환 관련 바이오마커와 다른 질병간의 관계를 파악하고자 하며, 의료 전문가에게 폐질환 관련 바이오마커와 다른 질병간의 새로운 관계를 제시하고자 한다. 이러한 데이터를 이용하여 계산한 결과, Wor2Vec의 결과를 이용한 코사인 유사도의 결과와 상관 계수가 약 0.64로 상당히 높은 상관 관계를 확인할 수 있었다. 따라서 이 방법을 통해 질병과 바이오마커의 관계를 파악하고자 하였다. 또한 Word2Vec을 이용한 질병과 바이오마커 단어의 벡터 값과 단어 유사도 계산 방법의 결과를 이용한 Deep Neural Networks (DNNs) 모델을 구축하고자 하며, 이를 통해 자동적으로 유사도를 분석하고자 하였다.

• Genomics & Informatics
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• v.17 no.4
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• pp.38.1-38.6
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• 2019

DNA methylation is a relatively stable epigenetic modification that can regulate and stabilize gene expression patterns and hence establish cell identity. Because metabolic intermediates are key factors of DNA methylation and demethylation, perturbations in metabolic homeostasis can trigger alterations in cell-specific patterns of DNA methylation and contribute to disease development, including type 2 diabetes (T2D). During the past decade, genome-wide DNA methylation studies of T2D have expanded our knowledge of the molecular mechanisms underlying T2D. This review summarizes case-control studies of the DNA methylome of T2D and discusses DNA methylation as both a cause and consequence of T2D. Therefore, DNA methylation has potential as a promising T2D biomarker that can be applied to the development of therapeutic strategies for T2D.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.238-241
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• 2017

본 논문에서는 구글 학술 검색 기반의 데이터를 이용하여 질병과 폐질환과 관련된 바이오마커 단어의 유사도를 계산하는 방법을 제안한다. 질병과 바이오마커의 유사도를 계산할 때, 각 단어의 구글 학술 검색의 검색 결과를 이용하였다. 이를 통해 폐질환 관련 바이오마커와 다른 질병간의 관계를 파악하고자 히며, 의료 전문가에게 폐질환 관련 바이오마커와 다른 질병간의 새로운 관계를 제시하고자 한다. 이러한 데이터를 이용하여 계산한 결과, Wor2Vec의 결과를 이용한 코사인 유사도의 결과와 상관 계수가 약 0.64로 상당히 높은 상관 관계를 확인할 수 있었다. 따라서 이 방법을 통해 질병과 바이오마커의 관계를 파악하고자 하였다. 또한 Word2Vec을 이용한 질병과 바이오마커 단어의 벡터 값과 단어 유사도 계산 방법의 결과를 이용한 Deep Neural Networks (DNNs) 모델을 구축하고자 하며, 이를 통해 자동적으로 유사도를 분석하고자 하였다.

• Journal of fish pathology
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• v.15 no.2
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• pp.83-92
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• 2002

EST analysis was performed to identify stress-responsive and immune-related genes from mud loach (Misgurnus mizolepis), cDNA libraries were constructed with liver, intestine and kidney tissues and randomly chosen clones (216 for liver, 198 for intestine and 224 for kidney) were subjected to automated sequence analysis. Of 638 clones sequenced in totlal, approximalely 25% of ESTs was novel sequences (no match to GenBank) or sequences with high homology to hypothrtical/unknown genes. Several potential stress-responsive biomarker and/or immure-related genes were identified in all the tissues examined. It included lectin, MHC class I/II proteins, proteinase inhibitors, superoxide dismulase, catalase, glutathionc-S. transferase, heat-shock protein, warm temperature acclimation protein, complements, methylrransferasc, zinc finger proteins, macrophage maturation associated protein, and others. This information will offer new possibilities as fundamental baseline data for the molecular genetics and breeding of this species with an emphasis on the development of stress. (and disease)-resistsnt fish.

• Smart Media Journal
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• v.9 no.3
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• pp.9-17
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• 2020

Hippocampus is a complex brain structure embedded deep into the temporal lobe. Studies have shown that this structure gets affected by neurological and psychiatric disorders and it is a significant landmark for diagnosing neurodegenerative diseases. Hippocampus features play very significant roles in region-of-interest based analysis for disease diagnosis and prognosis. In this study, we have attempted to learn the embeddings of this important biomarker. As conventional metric learning methods for feature embedding is known to lacking in capturing semantic similarity among the data under study, we have trained deep Siamese convolutional neural network for learning metric of the hippocampus. We have exploited Gwangju Alzheimer's and Related Dementia cohort data set in our study. The input to the network was pairs of three-view patches (TVPs) of size 32 × 32 × 3. The positive samples were taken from the vicinity of a specified landmark for the hippocampus and negative samples were taken from random locations of the brain excluding hippocampi regions. We have achieved 98.72% accuracy in verifying hippocampus TVPs.

• Food Engineering Progress
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• v.14 no.1
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• pp.21-26
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• 2010

C-Reactive protein (CRP), which is an 118 kDa pentameric protein, was secreted by the liver is an important biomarker for coronary disease, hypertension and inflammation. In this study, a method for CRP detection exploiting quantum dot (Qdot)-antibody conjugate was developed according to an indirect-competitive immunosensing protocol. For this purpose, a streptavidin-bound $Qdot_{605}$ was linked with a separately prepared biotinylated monoclonal antirat CRP antibody to produce a Qdot-antibody conjugate. The immunosensing was performed at 0.1 and 20 nM of the coating antigen and conjugate, respectively. The current method was found very sensitive in CRP detection, judging from the concentration-dependent fluorescence emission.

• Mass Spectrometry Letters
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• v.12 no.3
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• pp.76-80
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• 2021

Scrub typhus is an acute febrile disease caused by the pathogenic bacterium Orientia tsutsugamushi, belonging to the Rickettsiaceae family. The shotgun proteomic analysis was performed using the sera of scrub typhus patients to identify the proteins having their origin in O. tsutsugamushi. Three different databases approaches were used for the identification of the proteomes. We identified the RsmD, an RNA methyltransferase as the commonly detected protein from all three approaches. This protein was not detected in the sera of healthy negative controls. We believe that this protein is a potential biomarker of Orientia tsutsugamushi present in the sera of scrub typhus patients.

• BMB Reports
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• v.54 no.1
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• pp.70-88
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• 2021

Immunotherapy has revolutionized the landscape of cancer treatment and become a standard pillar of the treatment. The two main drivers, immune checkpoint inhibitors and chimeric antigen receptor T cells, contributed to this unprecedented success. However, despite the striking clinical improvements, most patients still suffer from disease progression because of the evolution of primary or acquired resistance. This mini-review summarizes new treatment options including novel targets and interesting combinational approaches to increase our understanding of the mechanisms of the action of and resistance to immunotherapy, to expand our knowledge of advances in biomarker and therapeutics development, and to help to find the most appropriate option or a way of overcoming the resistance for cancer patients.

• Journal of Sensor Science and Technology
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• v.31 no.4
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• pp.187-193
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• 2022

The accurate detection of environmental and biomarker gas species has attracted increasing attention due to their broad applications, such as air quality monitoring, disease diagnosis, and explosive chemicals detection. To accurately detect target gas species using chemiresistive gas sensors, using nanocatalysts on semiconducting metal oxides (SMOs) is considered the most promising approach. This review summarizes recent studies on methods for nanocatalysts functionalization on SMOs to achieve the highly selective gas sensors. To this end, we discuss various nanocatalyst decorated metal oxide-based chemiresistive gas sensors and provide an insight to construct highly accurate gas sensors.