Evaluation of Matrix Effect in Body Fluid Chemistry on Roche Cobas 8000 c702 System

서종도,이지교,김승환,남영원,이준희,이경훈,송정한,송상훈 대한진단검사의학회 2021 Laboratory Medicine Online Vol.11 No.4

Background: Analysis of body fluids aids in diagnosis and monitoring disease. However, only a few testing platforms and reagents have been validated for a range of body fluids or analytes. In this study, we evaluated a testing system, which has been approved for blood samples, in analyzing body fluid specimens upon matrix mixing. Methods: Serum and body fluid samples, including cerebrospinal fluid (CSF), ascites, pleural fluid, amniotic fluid, and synovial fluid, were mixed, then the matrix effect and linearity for major analytes, namely amylase, chloride, glucose, LDH, and protein were evaluated (N = 30 serum-body fluid pairs) on the Cobas 8000 c702. The obtained data was compared with that of open reagents evaluated on the Architect c16000. Results: For all analyte-body fluid pairs, the mean percent recovery ranged from 98.4% to 101.7%, and this was within the acceptable range for matrix effect. In the linearity test, maximum non-linearity for each analyte-body fluid pair ranged from -5.0% to +4.2%. In interference test, proteins showed positive hemolytic, icteric, and lipemic interference in CSF and hemolytic interference in amniotic fluid. There was no significant interference in the other analyte-body fluid pairs. Results were highly correlated between the Cobas 8000 c702 and the Architect c16000 system. Conclusions: Our findings revealed that the matrix effect of major analytes in body fluid specimens can be excluded and they also validated the linearity of the analytes in the body fluid specimens. Therefore, reagents specified for blood samples can be readily adopted for the analysis of body fluids.

세포원침법을 이용하여 Wright 염색 후 악성종양 세포 검출 경험

이영진,박도심,조지현 대한임상검사정도관리학회 2001 臨床檢査와 精度管理 Vol.23 No.1

Forensic Body Fluid Identification by Analysis of Multiple RNA Markers Using NanoString Technology

박종률,박성민,김종환,이한철,이승환,우광만,김선영 한국유전체학회 2013 Genomics & informatics Vol.11 No.4

RNA analysis has become a reliable method of body fluid identification for forensic use. Previously, we developed acombination of four multiplex quantitative PCR (qRT-PCR) probes to discriminate four different body fluids (blood, semen,saliva, and vaginal secretion). While those makers successfully identified most body fluid samples, there were some cases offalse positive and negative identification. To improve the accuracy of the identification further, we tried to use multiplemarkers per body fluid and adopted the NanoString nCounter system instead of a multiplex qRT-PCR system. After measuringtens of RNA markers, we evaluated the accuracy of each marker for body fluid identification. For body fluids, such as bloodand semen, each body fluid-specific marker was accurate enough for perfect identification. However, for saliva and vaginalsecretion, no single marker was perfect. Thus, we designed a logistic regression model with multiple markers for saliva andvaginal secretion and achieved almost perfect identification. In conclusion, the NanoString nCounter is an efficient platformfor measuring multiple RNA markers per body fluid and will be useful for forensic RNA analysis.

Forensic Body Fluid Identification by Analysis of Multiple RNA Markers Using NanoString Technology

Park, Jong-Lyul,Park, Seong-Min,Kim, Jeong-Hwan,Lee, Han-Chul,Lee, Seung-Hwan,Woo, Kwang-Man,Kim, Seon-Young Korea Genome Organization 2013 Genomics & informatics Vol.11 No.4

RNA analysis has become a reliable method of body fluid identification for forensic use. Previously, we developed a combination of four multiplex quantitative PCR (qRT-PCR) probes to discriminate four different body fluids (blood, semen, saliva, and vaginal secretion). While those makers successfully identified most body fluid samples, there were some cases of false positive and negative identification. To improve the accuracy of the identification further, we tried to use multiple markers per body fluid and adopted the NanoString nCounter system instead of a multiplex qRT-PCR system. After measuring tens of RNA markers, we evaluated the accuracy of each marker for body fluid identification. For body fluids, such as blood and semen, each body fluid-specific marker was accurate enough for perfect identification. However, for saliva and vaginal secretion, no single marker was perfect. Thus, we designed a logistic regression model with multiple markers for saliva and vaginal secretion and achieved almost perfect identification. In conclusion, the NanoString nCounter is an efficient platform for measuring multiple RNA markers per body fluid and will be useful for forensic RNA analysis.

Identification of body fluid-specific DNA methylation markers for use in forensic science

Park, J.L.,Kwon, O.H.,Kim, J.H.,Yoo, H.S.,Lee, H.C.,Woo, K.M.,Kim, S.Y.,Lee, S.H.,Kim, Y.S. Elsevier Science 2014 FORENSIC SCIENCE INTERNATIONAL GENETICS Vol.13 No.-

DNA methylation, which occurs at the 5'-position of the cytosine in CpG dinucleotides, has great potential for forensic identification of body fluids, because tissue-specific patterns of DNA methylation have been demonstrated, and DNA is less prone to degradation than proteins or RNA. Previous studies have reported several body fluid-specific DNA methylation markers, but DNA methylation differences are sometimes low in saliva and vaginal secretions. Moreover, specific DNA methylation markers in four types of body fluids (blood, saliva, semen, and vaginal secretions) have not been investigated with genome-wide profiling. Here, we investigated novel DNA methylation markers for identification of body fluids for use in forensic science using the Illumina HumanMethylation 450K bead array, which contains over 450,000 CpG sites. Using methylome data from 16 samples of blood, saliva, semen, and vaginal secretions, we first selected 2986 hypermethylated or hypomethylated regions that were specific for each type of body fluid. We then selected eight CpG sites as novel, forensically relevant DNA methylation markers: cg06379435 and cg08792630 for blood, cg26107890 and cg20691722 for saliva, cg23521140 and cg17610929 for semen, and cg01774894 and cg14991487 for vaginal secretions. These eight selected markers were evaluated in 80 body fluid samples using pyrosequencing, and all showed high sensitivity and specificity for identification of the target body fluid. We suggest that these eight DNA methylation markers may be good candidates for developing an effective molecular assay for identification of body fluids in forensic science.

Genome-wide mRNA profiling and multiplex quantitative RT-PCR for forensic body fluid identification

Park, S.M.,Park, S.Y.,Kim, J.H.,Kang, T.W.,Park, J.L.,Woo, K.M.,Kim, J.S.,Lee, H.C.,Kim, S.Y.,Lee, S.H. Elsevier Science 2013 Forensic science international. Genetics Vol.7 No.1

In forensic science, identifying a tissue where a forensic specimen was originated is one of the principal challenges. Messenger RNA (mRNA) profile clearly reveals tissue-specific gene expression patterns that many attempts have been made to use RNA for forensic tissue identification. To systematically investigate the body-fluid-specific expression of mRNAs and find novel mRNA markers for forensic body fluid identification, we performed DNA microarray experiment with 24 Korean body fluid samples. Shannon entropy and Q-values were calculated for each gene, and 137 body-fluid-specific candidate genes were selected. By applying more stringent criteria, we further selected 28 candidate genes and validated them by RT-PCR and qRT-PCR. As a result, we suggest a novel combination of four body-fluid-specific mRNA makers: PPBP for blood, FDCSP for saliva, MSMB for semen and MSLN for vaginal secretion. Multiplex qRT-PCR assay was designed using the four mRNA markers and DNA/RNA co-extraction method was tested for forensic use. This study will provide a thorough examination of body-fluid-specifically expressed mRNAs, which will enlarge the possibility of practical use of RNA for forensic purpose.

Hydrodynamic characteristics of internal waves induced by a heaving body in a two-layer fluid

Min, Eun-Hong,Koo, Weoncheol Elsevier 2017 Ocean engineering Vol.145 No.-

<P><B>Abstract</B></P> <P>The stratification of fluid caused by the change of water densities can generate two water waves on each fluid boundary. One is the surface wave on the free surface, and the other is the internal wave on the interface between the fluid layers. Two wave modes exist in the two-layer fluid: barotropic mode and baroclinic mode. This study develops a numerical model to simulate the surface and internal waves in the time domain. The time histories of the water waves on both surface boundaries are simulated using the numerical wave tank (NWT) technique by an oscillating circular body located on the free surface or underwater in the lower fluid domain. The NWT technique is based on the boundary element method with properly defined boundary conditions, including interface boundaries. The leapfrog method is used for the time integration of the water surface boundary conditions. The time-varying generated waves are disassembled through the Fast Fourier Transform (FFT). Each wave component is compared with analytic solutions. The relative magnitudes of the generated waves on both fluid layers are examined according to each wave mode. The dominant wave mode varies according to the oscillating body frequencies. The amplitude ratios of the two waves are compared for various density ratios and fluid depths.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A numerical model was developed to simulate the surface and internal waves in the time domain. </LI> <LI> Two wave modes were observed in the two-layer fluid: barotropic and baroclinic modes. </LI> <LI> The dominant wave mode varied according to the oscillating body frequencies. </LI> <LI> The amplitude ratios were compared for various density ratios and fluid depths. </LI> </UL> </P>

수액질환(水液疾患)의 병기(病機) 및 치료원칙(治療原則)에 대한 비교고찰 - "동의보감(東醫寶鑑)"의 편제(編制)를 중심으로 -

백상룡,Back, Sang-Ryong 한국한의학연구원 2003 한국한의학연구원논문집 Vol.9 No.1

Many of the diseases that occur in a life being are either closely related to water, or they occur by loss or deterioration of water metabolism. There are six parts of study on this subject in ${\ulcorner}$Dongeubogam${\lrcorner}$. The parts are, the part of Jinaek the part of Dameum the part of Sobyeon the part of Bujong the part of Changman and the part of Seub. In these parts, it mentions loss of perspiration, abnormal urination, edema, abdominal dropsy, formation of abnormal body fluid and intrusion of dampness into the body and etc as the abnormal water metabolism. Loss of perspiration and urination is a process of eliminating the dampness in the body. Perspiration would be the abnormality of yanghwa[陽化]. Urination would be the loss of eumhwa[陰化]. Eum[飮] is the fluid accumulated in the body that failed to go through the process of Cihwa[氣化]. Dam[痰] is formed when the body fluid is heated by the smoking-fire. Meanwhile, the dampness occurs when the water penetrates into the bones, muscles and joints. Edema and abdominal dropsy are both outcomes of accumulated body fluid. Edema is the liquified body fluid congested on the surface or the peripheral ends of the body. Abdominal dropsy is congestion of fluid, that lost the characteristic of blood due to blood deterioration, in the abdominal part.

Flow cytometry를 이용한 체강액의 DNA 분석

최윤미,지현숙 대한임상병리학회 1992 대한임상병리학회지 Vol.12 No.2

Comparison of Red Blood Cell, White Blood Cell and Differential Counts between UF-5000 System and Manual Method

Mo Sae Koo,Jinsook Lim,김선영,구선회,권계철 대한임상검사정도관리협회 2019 Journal of Laboratory Medicine And Quality Assuran Vol.41 No.3

Background: Analysis of body fluids provides important information for assessing various medical conditions. We aimed to validate the analytical and diagnostic performance of the Sysmex UF-5000 (Sysmex, Japan) system for the analysis of different body fluids. Methods: Eighty body fluid samples were analyzed using the UF-5000 system in the body fluid mode and light microscopy. Body fluids included ascitic, pleural, and cerebrospinal fluid (CSF), as well as other fluid samples. Results: A comparison between the UF-5000 system and manual counting demonstrated good correlations with regard to red (r =0.6555) and white blood cell (r =0.9666) counts. The UF-5000 system also demonstrated good performance for differential cell counting (r =0.9028). CSF particularly showed a good correlation. Conclusions: The use of the UF-5000 system for cell counting and differential analysis of body fluid samples might be an effective and automated alternative to chamber counting in laboratory routine analysis, thereby enhancing laboratory workflow and clinical effectiveness.