• 제목/요약/키워드: Clinical biomarker

검색결과 285건 처리시간 0.029초

Prevention of Pediatric Acute Kidney Injury

  • Cho, Heeyeon
    • Childhood Kidney Diseases
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    • 제19권2호
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    • pp.71-78
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    • 2015
  • The incidence of acute kidney injury (AKI) in critically ill pediatric patients has been reported as increasing to 25 %, depending on population characteristics. The etiology of AKI has changed over the last 10-20 years from primary renal disease to the renal conditions associated with systemic illness. The AKI in pediatric population is associated with increased mortality and morbidity, and prevention is needed to reduce the consequence of AKI. It is known that the most important risk factors for AKI in critically ill pediatric patients are clinical conditions to be associated with decreased renal blood flow, direct renal injury, and illness severity. Renal hypoperfusion leads to neurohormonal activation including renin-angiotensin-aldosterone system, sympathetic nervous system, antidiuretic hormone, and prostaglandins. Prolonged renal hypoperfusion can result in acute tubular necrosis. The direct renal injury can be predisposed under the condition of renal hypoperfusion, and appropriate treatment of volume depletion is important to prevent AKI. The preventable causes of AKI include contrast-induced nephropathy, hemodynamic instability, inappropriate mediation use, and multiple nephrotoxic insults. Given the evidence of preventable factors for AKI, several actions such as the use of protocol for prevention of contrast-induced nephropathy, appropriate treatment of volume depletion, vigorous treatment of sepsis, avoidance of combinations of nephrotoxic medications, and monitoring of levels of drugs should be recommended.

치료저항성 우울증의 연구에서 패러다임의 전환 (Paradigm Shift in the Study of Treatment Resistant Depression)

  • 김용구
    • 생물정신의학
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    • 제23권2호
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    • pp.37-40
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    • 2016
  • Treatment-resistant depression (TRD) is a major public health problem. It is estimated that about 30% of patients with major depressive disorder do not show substantial clinical improvement to somatic or psychosocial treatment. Most of studies for TRD have focused on the subjects already known as TRD. Patients with unipolar depressive episodes that do not respond satisfactorily to numerous sequential treatment regimens were included in the TRD studies. Such post hoc experimental design can be regarded only as consequences of having TRD, rather than as causal risk factors for it. Although informative, data derived from such studies often do not allow a distinction to be made between cause and effect. So, we should shift paradigm toward examining the risk for developing TRD in untreated depressed patients. To deal with this problem, untreated depressed patients should be enrolled in the study to identify biological markers for treatment resistance. The peripheral or central biological markers should be explored before starting treatment. Subsequent systematic administration of treatments with appropriate monitoring in the subjects can determine the risk for developing treatment resistance in untreated individuals. Such information could give a cue to improve the initial diagnosis and provide more effective treatment for TRD.

Dickkopf-1 Levels in Turkish Patients with Bladder Cancer and its Association with Clinicopathological Features

  • Kaba, Mehmet;Pirincci, Necip;Benli, Erdal;Gecit, Ilhan;Gunes, Mustafa;Yuksel, Mehmet Bilgehan;Tok, Adem;Kemik, Ahu Sarbay
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권1호
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    • pp.381-384
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    • 2014
  • Background: Evidence indicates that Dickkopf-1 (DKK-1) levels may be a biomarker for cancer risk. The aim of this study was to assess DKK-1 and its correlation with clinic-pathological features in patients with bladder cancer. Materials and Methods: DKK-1 levels were determined in serum samples from 90 patients with bladder cancer before transurethral tumor resection. The concentrations of DKK-1 were determined by using enzyme linked immune-sorbent assay (ELISA). Results: Elevated preoperative DKK-1 levels were associated with tumor stage (p<0.001), grade (p<0.001) and histological grade (p<0.001). Conclusions: The results of our study demonstrated that the level of serum DKK-1 is correlated with both disease progression and increase in the tumor grade. Preoperative serum DKK-1 elevation may thus represent a novel marker for the determination of bladder cancer and the detection of patients with a likely poor clinical outcome.

Tumor-associated autoantibodies as diagnostic and prognostic biomarkers

  • Heo, Chang-Kyu;Bahk, Young Yil;Cho, Eun-Wie
    • BMB Reports
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    • 제45권12호
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    • pp.677-685
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    • 2012
  • In the process of tumorigenesis, normal cells are remodeled to cancer cells and protein expression patterns are changed to those of tumor cells. A newly formed tumor microenvironment elicits the immune system and, as a result, a humoral immune response takes place. Although the tumor antigens are undetectable in sera at the early stage of tumorigenesis, the nature of an antibody amplification response to antigens makes tumor-associated autoantibodies as promising early biomarkers in cancer diagnosis. Moreover, the recent development of proteomic techniques that make neo-epitopes of tumor-associated autoantigens discovered concomitantly has opened a new area of 'immuno-proteomics', which presents tumor-associated autoantibody signatures and confers information to redefine the process of tumorigenesis. In this article, the strategies recently used to identify and validate serum autoantibodies are outlined and tumor-associated antigens suggested until now as diagnostic/prognostic biomarkers in various tumor types are reviewed. Also, the meaning of autoantibody signatures and their clinical utility in personalized medicine are discussed.

An Automated High Throughput Proteolysis and Desalting Platform for Quantitative Proteomic Analysis

  • Arul, Albert-Baskar;Han, Na-Young;Lee, Hookeun
    • Mass Spectrometry Letters
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    • 제4권2호
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    • pp.25-29
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    • 2013
  • Proteomics for biomarker validation needs high throughput instrumentation to analyze huge set of clinical samples for quantitative and reproducible analysis at a minimum time without manual experimental errors. Sample preparation, a vital step in proteomics plays a major role in identification and quantification of proteins from biological samples. Tryptic digestion a major check point in sample preparation for mass spectrometry based proteomics needs to be more accurate with rapid processing time. The present study focuses on establishing a high throughput automated online system for proteolytic digestion and desalting of proteins from biological samples quantitatively and qualitatively in a reproducible manner. The present study compares online protein digestion and desalting of BSA with conventional off-line (in-solution) method and validated for real time sample for reproducibility. Proteins were identified using SEQUEST data base search engine and the data were quantified using IDEALQ software. The present study shows that the online system capable of handling high throughput samples in 96 well formats carries out protein digestion and peptide desalting efficiently in a reproducible and quantitative manner. Label free quantification showed clear increase of peptide quantities with increase in concentration with much linearity compared to off line method. Hence we would like to suggest that inclusion of this online system in proteomic pipeline will be effective in quantification of proteins in comparative proteomics were the quantification is really very crucial.

Expression of Annexin A3 in Gastric Cancer and its Correlation with Proliferation and Apoptosis

  • Zhai, Jing-Ming;Sun, Shi-Jun;Wang, Wei;Zeng, Chao
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권7호
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    • pp.3001-3004
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    • 2014
  • Annexin A3 has been identified as a novel biomarker in different types of cancers. However, little is known about its clinical significances and and biological roles in gastric cancer. In this study, we assessed annexin A3 expression in 80 patients with gastric cancer and explore its correlation with prognosis Moreover, correlations with Ki-67, Bcl-2 and Bax were also investigated. Expression of annexin A3 was increased in gastric cancer compared with that in normal gastric tissues. Annexin A3 expression was significantly associated with tumor volume and TNM stage (p<0.05). and inversely correlation with prognosis of patients. More interestingly, expression of annexin A3 was positive correlated with Ki-67 and Bcl-2 expression. Our study showed annexin A3 might be a potential prognostic marker for gastric cancer and involved in tumorigenesis by regulating apoptosis and proliferation.

Branched N-glycans and their implications for cell adhesion, signaling and clinical applications for cancer biomarkers and in therapeutics

  • Taniguchi, Naoyuki;Korekane, Hiroaki
    • BMB Reports
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    • 제44권12호
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    • pp.772-781
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    • 2011
  • Branched N-glycans are produced by a series of glycosyltransferases including N-acetylglucosaminyltransferases and fucosyltransferases and their corresponding genes. Glycans on specific glycoproteins, which are attached via the action of glycosyltransferases, play key roles in cell adhesion and signaling. Examples of this are adhesion molecules or signaling molecules such as integrin and E-cadherin, as well as membrane receptors such as the EGF and TGF-${\beta}$ receptors. These molecules also play pivotal roles in the underlying mechanism of a variety of disease such as cancer metastasis, diabetes, and chronic obstructive pulmonary disease (COPD). Alterations in the structures of branched N-glycans are also hall marks and are useful for cancer biomarkers and therapeutics against cancer. This mini-review describes some of our recent studies on a functional glycomics approach to the study of branched N-glycans produced by N-acetylglucosaminyltransferases III, IV, V and IX (Vb) (GnT-III, GnT-IV, V and IX (Vb)) and fucosyltransferase 8 (Fut8) and their pathophysiological significance, with emphasis on the importance of a systems glycobiology approach as a future perspective for glycobiology.

Noninvasive molecular biomarkers for the detection of colorectal cancer

  • Kim, Hye-Jung;Yu, Myeong-Hee;Kim, Ho-Guen;Byun, Jong-Hoe;Lee, Cheolju
    • BMB Reports
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    • 제41권10호
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    • pp.685-692
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    • 2008
  • Colorectal cancer (CRC) is the third most common malignancy in the world. Because CRC develops slowly from removable precancerous lesions, detection of the disease at an early stage during regular health examinations can reduce both the incidence and mortality of the disease. Although sigmoidoscopy offers significant improvements in the detection rate of CRC, its diagnostic value is limited by its high costs and inconvenience. Therefore, there is a compelling need for the identification of noninvasive biomarkers that can enable earlier detection of CRC. Accordingly, many validation studies have been conducted to evaluate genetic, epigenetic or protein markers that can be detected in the stool or in serum. Currently, the fecal-occult blood test is the most widely used method of screening for CRC. However, advances in genomics and proteomics combined with developments in other relevant fields will lead to the discovery of novel non invasive biomarkers whose usefulness will be tested in larger validation studies. Here, non-invasive molecular biomarkers that are currently used in clinical settings and have the potential for use as CRC biomarkers are discussed.

담배연기 노출량 평가 생체지표 (Biomarkers of Exposure for Cigarette Smoke)

  • 박철훈;신한재;이형석;유지혜;손형옥
    • 한국연초학회지
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    • 제31권1호
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    • pp.58-67
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    • 2009
  • Biomarkers could be critical and useful tools for assessing the biological effects of smoking and detecting differences between potentially reduced exposure product (PREP) and conventional cigarettes. Smoking-related biomarkers can be classified into three categories as biomarkers of exposure, biomarkers of effects, and biomarkers of potential harm. When compared with the biomarkers of effects or harm, the biomarkers of exposure for chemical constituents of cigarette smoke are well established and characterized. In addition, they could offer the important information in understanding how cigarette smoke interacts with biological molecules and causes the disease to human. Therefore, we provide an overview of 6 biomarkers of exposure (Nicotine and nicotine metabolites, Carboxyhaemoglobin, NNAL (4-(methylnitrosoamino)-1-(3-pyridyl)-1-butanol) and NNAL - glucuronide, 3-Hydroxypropyl-mercapturic acid, and Monohydroxy-butenyl-mercapturic acids, and Urine mutagenicity) which were validated through extensive research and clinical experience. These reliable biomarkers could help identify the efficacy of PREP by predicting early toxicological effects and lead to improve it.

알츠하이머병 치료의 생물학적 예측인자 (Biological Predictors of Alzheimer's Disease Treatment)

  • 주수현;임제진;이창욱
    • 생물정신의학
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    • 제21권4호
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    • pp.115-117
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    • 2014
  • Variety of biomarkers that are related to the Alzheimer's disease and its diagnosis and progress have been found. However, research lacks in predicting the reaction of the treatment. In addition, there is no definite treatment reaction to the disease but rather it is varied. The purpose of this review article is to study the research of the biomarkers that are able to predict the treatment reaction. There was a research that illustrated a relationship between plasma amyloid ${\beta}$ peptide, cerebrospinal fluid tau, neuroanatomical biomarkers and acetylcholinesterase inhibitors. Polymorphisms in genes of the cholinergic markers AChE, BuChE, ChAT and PON-1 were found to be associated with better clinical response to acetylcholinesterase inhibitors. Many pharmacogenetic studies have been conducted to evaluate the impact of the lipoprotein apolipoprotein E (APOE) genotype on treatment response to acetylcholinesterase inhibitor. However, there is no significant influence of the APOE genotypes on treatment response. Further research is needed to find other predictors of treatment with acetylcholinesterase inhibitors in patients with Alzheimer's disease.