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Article: CD83 expression induced by CpG-DNA stimulation in a macrophage cell line RAW 264.7 Min Chul Park1, Dongbum Kim2, Younghee Lee3 & Hyung-Joo Kwon1,2,*

Park, M.C., Hallym University, Chuncheon, Republic of Korea / Kim, D.B., Hallym University, Chuncheon, Republic of Korea / Lee, Y.H., Chungbuk National University, Cheongju, Republic of korea / Kwon, H.J., Hallym University, Chuncheon, Republic of Korea

Biochemistry and Molecular Biology reports

(Sep 2013) Volume v. 46, Issue (9), Page(s) p. 448–453

Abstract: CpG-DNA has various immunomodulatory effects in dendritic cells, B cells, and macrophages. While induction of cytokines by CpG-DNA has been well documented in macrophages, the expression of costimulatory molecules in CpG-DNA treated macrophages has not ... ...

Abstract	CpG-DNA has various immunomodulatory effects in dendritic cells, B cells, and macrophages. While induction of cytokines by CpG-DNA has been well documented in macrophages, the expression of costimulatory molecules in CpG-DNA treated macrophages has not yet been defined. Therefore, we investigated the effects of CpG-DNA on the expression of costimulatory molecules in RAW 264.7 cells. The surface expression of CD80 was slightly increased and CD83 expression was significantly increased in response to CpG-DNA. However, the expression of CD86 and MHC class II was not changed. As expression of CD83 mRNA was also increased by CpG-DNA, CD83 expression is regulated at a transcriptional level. To understand the contribution of signaling pathways to CD83 induction, we used pathway specific inhibitors. The NF-κB inhibitor significantly reduced surface expression of CD83 as well as phagocytic activity of RAW 264.7 cells. Therefore, CD83 expression may contribute to the immunostimulatory effects of CpG-DNA in macrophage cells
Keywords	MACROPHAGE ; MACROFAGOS ; MACROPHAGES
Language	English
Document type	Article
ISSN	1976-6696
Database	AGRIS - International Information System for the Agricultural Sciences and Technology

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Article: CD83 expression induced by CpG-DNA stimulation in a macrophage cell line RAW 264.7 Min Chul Park1, Dongbum Kim2, Younghee Lee3 & Hyung-Joo Kwon1,2,*

Biochemistry and Molecular Biology reports

(Sep 2013) Volume v. 46, Issue (9), Page(s) p. 448–453

Abstract	CpG-DNA has various immunomodulatory effects in dendritic cells, B cells, and macrophages. While induction of cytokines by CpG-DNA has been well documented in macrophages, the expression of costimulatory molecules in CpG-DNA treated macrophages has not yet been defined. Therefore, we investigated the effects of CpG-DNA on the expression of costimulatory molecules in RAW 264.7 cells. The surface expression of CD80 was slightly increased and CD83 expression was significantly increased in response to CpG-DNA. However, the expression of CD86 and MHC class II was not changed. As expression of CD83 mRNA was also increased by CpG-DNA, CD83 expression is regulated at a transcriptional level. To understand the contribution of signaling pathways to CD83 induction, we used pathway specific inhibitors. The NF-κB inhibitor significantly reduced surface expression of CD83 as well as phagocytic activity of RAW 264.7 cells. Therefore, CD83 expression may contribute to the immunostimulatory effects of CpG-DNA in macrophage cells
Keywords	MACROPHAGE ; MACROFAGOS ; MACROPHAGES
Language	English
Document type	Article
ISSN	1976-6696
Database	AGRIS - International Information System for the Agricultural Sciences and Technology

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Article ; Online: Three-Dimensional Image Visualization under Photon-Starved Conditions Using

Kim, Hyun-Woo / Lee, Min-Chul / Cho, Myungjin

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 6

Abstract: In this paper, we propose a method for the three-dimensional (3D) image visualization of objects under photon-starved conditions using multiple observations and statistical estimation. To visualize 3D objects under these conditions, photon counting ... ...

Abstract	In this paper, we propose a method for the three-dimensional (3D) image visualization of objects under photon-starved conditions using multiple observations and statistical estimation. To visualize 3D objects under these conditions, photon counting integral imaging was used, which can extract photons from 3D objects using the Poisson random process. However, this process may not reconstruct 3D images under severely photon-starved conditions due to a lack of photons. Therefore, to solve this problem, in this paper, we propose
Language	English
Publishing date	2024-03-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24061731
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Epidemiologic Study of Diarrhea Pathogens Detected by Multiplex Real-Time PCR: a Single Center Study During 1 Year.

Kim, Young Jin / Cho, Min-Chul

Clinical laboratory

2023 Volume 69, Issue 2

Abstract: Background: Acute gastroenteritis is one of the major causes of morbidity and mortality worldwide, especially in children and the elderly. The identification of various diarrhea-causing bacteria using multiplex polymerase chain reaction (PCR) and rapid ... ...

Abstract	Background: Acute gastroenteritis is one of the major causes of morbidity and mortality worldwide, especially in children and the elderly. The identification of various diarrhea-causing bacteria using multiplex polymerase chain reaction (PCR) and rapid antigen testing has enabled a more detailed analysis of diarrhea-causing pathogens. Pre-vious reports have a limitation in that they do not include data on multiple infections in which two or more infectious agents are simultaneously detected, and there are no data on clinical information. We investigated various diarrhea-causing bacteria and viruses detected by multiplex real-time PCR for one year at a single institution. Methods: This study included 766 subjects who underwent multiplex real-time PCR testing of direct stool specimens for the purpose of diagnosis from April 2019 to February 2020. The multiplex PCR test used in our study can simultaneously detect 16 types of bacteria and five types of viruses. When two or more pathogens were detected by multiplex real-time PCR, they were confirmed using single conventional PCR or real-time PCR. Demographic, clinical, and laboratory data were collected from electronic medical records (EMR). The detected bacteria and viruses were analyzed according to age and season. Results: Out of a total of 352 stool samples with pathogen detection, 265 (75.3%) were detected as single and 87 (24.7%) showed co-detection. The highest rates of single and co-detection were for Clostridium perfringens, and the highest combination of co-infections was for C. perfringens and Staphylococcus aureus. Conclusions: We demonstrated that different age groups showed varying pathogen distributions. While no special seasonality was found in the monthly distribution, it should be noted that the total number of cases peaked in September. The data presented in our study serves as epidemiologically important basic data.
MeSH term(s)	Child ; Humans ; Aged ; Real-Time Polymerase Chain Reaction ; Diarrhea/diagnosis ; Diarrhea/epidemiology ; Diarrhea/microbiology ; Gastroenteritis/diagnosis ; Viruses/genetics ; Multiplex Polymerase Chain Reaction ; Bacteria/genetics ; Epidemiologic Studies ; Feces/microbiology ; Sensitivity and Specificity
Language	English
Publishing date	2023-02-08
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1307629-2
ISSN	1433-6510 ; 0941-2131
ISSN	1433-6510 ; 0941-2131
DOI	10.7754/Clin.Lab.2022.220707
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Image Processing Techniques for Improving Quality of 3D Profile in Digital Holographic Microscopy Using Deep Learning Algorithm.

Kim, Hyun-Woo / Cho, Myungjin / Lee, Min-Chul

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 6

Abstract: Digital Holographic Microscopy (DHM) is a 3D imaging technology widely applied in biology, microelectronics, and medical research. However, the noise generated during the 3D imaging process can affect the accuracy of medical diagnoses. To solve this ... ...

Abstract	Digital Holographic Microscopy (DHM) is a 3D imaging technology widely applied in biology, microelectronics, and medical research. However, the noise generated during the 3D imaging process can affect the accuracy of medical diagnoses. To solve this problem, we proposed several frequency domain filtering algorithms. However, the filtering algorithms we proposed have a limitation in that they can only be applied when the distance between the direct current (DC) spectrum and sidebands are sufficiently far. To address these limitations, among the proposed filtering algorithms, the HiVA algorithm and deep learning algorithm, which effectively filter by distinguishing between noise and detailed information of the object, are used to enable filtering regardless of the distance between the DC spectrum and sidebands. In this paper, a combination of deep learning technology and traditional image processing methods is proposed, aiming to reduce noise in 3D profile imaging using the Improved Denoising Diffusion Probabilistic Models (IDDPM) algorithm.
Language	English
Publishing date	2024-03-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24061950
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Three-Dimensional (3D) Visualization under Extremely Low Light Conditions Using Kalman Filter.

Kim, Hyun-Woo / Cho, Myungjin / Lee, Min-Chul

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 17

Abstract: In recent years, research on three-dimensional (3D) reconstruction under low illumination environment has been reported. Photon-counting integral imaging is one of the techniques for visualizing 3D images under low light conditions. However, conventional ...

Abstract	In recent years, research on three-dimensional (3D) reconstruction under low illumination environment has been reported. Photon-counting integral imaging is one of the techniques for visualizing 3D images under low light conditions. However, conventional photon-counting integral imaging has the problem that results are random because Poisson random numbers are temporally and spatially independent. Therefore, in this paper, we apply a technique called Kalman filter to photon-counting integral imaging, which corrects data groups with errors, to improve the visual quality of results. The purpose of this paper is to reduce randomness and improve the accuracy of visualization for results by incorporating the Kalman filter into 3D reconstruction images under extremely low light conditions. Since the proposed method has better structure similarity (SSIM), peak signal-to-noise ratio (PSNR) and cross-correlation values than the conventional method, it can be said that the visualization of low illuminated images can be accurate. In addition, the proposed method is expected to accelerate the development of autonomous driving technology and security camera technology.
Language	English
Publishing date	2023-08-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23177571
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Novel Image Processing Method for Obtaining an Accurate Three-Dimensional Profile of Red Blood Cells in Digital Holographic Microscopy.

Kim, Hyun-Woo / Cho, Myungjin / Lee, Min-Chul

Biomimetics (Basel, Switzerland)

2023 Volume 8, Issue 8

Abstract: Recently, research on disease diagnosis using red blood cells (RBCs) has been active due to the advantage that it is possible to diagnose many diseases with a drop of blood in a short time. Representatively, there are disease diagnosis technologies that ... ...

Abstract	Recently, research on disease diagnosis using red blood cells (RBCs) has been active due to the advantage that it is possible to diagnose many diseases with a drop of blood in a short time. Representatively, there are disease diagnosis technologies that utilize deep learning techniques and digital holographic microscope (DHM) techniques. However, three-dimensional (3D) profile obtained by DHM has a problem of random noise caused by the overlapping DC spectrum and sideband in the Fourier domain, which has the probability of misjudging diseases in deep learning technology. To reduce random noise and obtain a more accurate 3D profile, in this paper, we propose a novel image processing method which randomly selects the center of the high-frequency sideband (RaCoHS) in the Fourier domain. This proposed algorithm has the advantage of filtering while using only recorded hologram information to maintain high-frequency information. We compared and analyzed the conventional filtering method and the general image processing method to verify the effectiveness of the proposed method. In addition, the proposed image processing algorithm can be applied to all digital holography technologies including DHM, and in particular, it is expected to have a great effect on the accuracy of disease diagnosis technologies using DHM.
Language	English
Publishing date	2023-11-22
Publishing country	Switzerland
Document type	Journal Article
ISSN	2313-7673
ISSN (online)	2313-7673
DOI	10.3390/biomimetics8080563
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Noise Filtering Method of Digital Holographic Microscopy for Obtaining an Accurate Three-Dimensional Profile of Object Using a Windowed Sideband Array (WiSA).

Kim, Hyun-Woo / Cho, Myungjin / Lee, Min-Chul

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 13

Abstract: In the image processing method of digital holographic microscopy (DHM), we can obtain a phase information of an object by windowing a sideband in Fourier domain and taking inverse Fourier transform. In this method, it is necessary to window a wide ... ...

Abstract	In the image processing method of digital holographic microscopy (DHM), we can obtain a phase information of an object by windowing a sideband in Fourier domain and taking inverse Fourier transform. In this method, it is necessary to window a wide sideband to obtain detailed information on the object. However, since the information of the DC spectrum is widely distributed over the entire range from the center of Fourier domain, the window sideband includes not only phase information but also DC information. For this reason, research on acquiring only the phase information of an object without noise in digital holography is a challenging issue for many researchers. Therefore, in this paper, we propose the use of a windowed sideband array (WiSA) as an image processing method to obtain an accurate three-dimensional (3D) profile of an object without noise in DHM. The proposed method does not affect the neighbor pixels of the filtered pixel but removes noise while maintaining the detail of the object. Thus, a more accurate 3D profile can be obtained compared with the conventional filter. In this paper, we create an ideal comparison target i.e., microspheres for comparison, and verify the effect of the filter through additional experiments using red blood cells.
MeSH term(s)	Fourier Analysis ; Holography/methods ; Humans ; Microscopy/methods ; Signal-To-Noise Ratio
Language	English
Publishing date	2022-06-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22134844
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Viable SARS-CoV-2 Shedding. Reply.

Kim, Min-Chul / Park, Man-Seong / Chung, Jin-Won

The New England journal of medicine

2021 Volume 384, Issue 17, Page(s) 1677–1678

MeSH term(s)	COVID-19 ; Humans ; RNA, Viral ; SARS-CoV-2 ; Virus Shedding
Chemical Substances	RNA, Viral
Language	English
Publishing date	2021-04-06
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	207154-x
ISSN	1533-4406 ; 0028-4793
ISSN (online)	1533-4406
ISSN	0028-4793
DOI	10.1056/NEJMc2102494
Database	MEDical Literature Analysis and Retrieval System OnLINE

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bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Development of droplet digital PCR-based detection of bacterial pathogens in prosthetic joint infection: a preliminary study using a synthesized model plasmid.

Tak, Lee-Jung / Shin, Min-Kyoung / Yoo, Jun-Il / Cho, Min-Chul / Kim, Wanil

Frontiers in cellular and infection microbiology

2023 Volume 13, Page(s) 1301446

Abstract: Periprosthetic joint infection (PJI) can be diagnosed to characterize the microorganisms constituting a biofilm, which is an essential procedure for proper treatment. The gold standard method for detecting and identifying the causative microorganism is ... ...

Abstract	Periprosthetic joint infection (PJI) can be diagnosed to characterize the microorganisms constituting a biofilm, which is an essential procedure for proper treatment. The gold standard method for detecting and identifying the causative microorganism is culture of microorganisms from patients-derived sample.; however, this method takes a long time and has low sensitivity. To compensate for these limitations, identification methods based on real-time PCR (RT-PCR) have been widely used. However, RT-PCR also has limitations, including low sensitivity and the requirement of a standard curve for quantification. Therefore, to prevent significant proliferation of pathogenic bacteria, it is important to detect a limited number of infectious bacteria during early stages of PJI. In the present study, we developed droplet digital PCR-based detection of bacterial pathogens in PJI. And we evaluated the analytical performance of the assay using a model plasmid, based on the 16S ribosomal DNA sequence of target bacteria commonly found in PJI. We also prepared genomic DNA extracted from
MeSH term(s)	Humans ; Escherichia coli/genetics ; Staphylococcus aureus/genetics ; Plasmids/genetics ; Bacteria/genetics ; Arthritis, Infectious ; Real-Time Polymerase Chain Reaction/methods ; DNA, Ribosomal
Chemical Substances	DNA, Ribosomal
Language	English
Publishing date	2023-11-02
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2619676-1
ISSN	2235-2988 ; 2235-2988
ISSN (online)	2235-2988
ISSN	2235-2988
DOI	10.3389/fcimb.2023.1301446
Database	MEDical Literature Analysis and Retrieval System OnLINE

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