Yong Gon Cho

Dr. Yong Gon Cho

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 November 2020 in Annals of Laboratory Medicine
Verified
Journal Article
Open access
PDF file
JHJeong-Hwan Hwang
Jeong-Hwan Hwang
MHMallikarjun Handigund
Mallikarjun Handigund
JHJoo-Hee Hwang
Joo-Hee Hwang
YCYong Gon Cho
Yong Gon Cho
DKDal Sik Kim
Dal Sik Kim
JLJaehyeon Lee
Jaehyeon Lee
Jeong-Hwan Hwang, M.D., Mallikarjun Handigund, Ph.D., Joo-Hee Hwang, M.D., Yong Gon Cho, M.D., Dal Sik Kim, M.D., and Jaehyeon Lee, M.D.. Ann Lab Med 2020;40:481-7. https://doi.org/10.3343/alm.2020.40.6.481

1 February 2016 in Transfusion and Apheresis Science
Verified
Journal Article
Closed access
MHMallikarjun Handigund
Mallikarjun Handigund
TBTae Won Bae
Tae Won Bae
JLJaehyeon Lee
Jaehyeon Lee
YCYong Gon Cho
Yong Gon Cho

1 April 2021 in Transfusion and Apheresis Science
Verified
Journal Article
Closed access
MHMallikarjun Handigund
Mallikarjun Handigund
JKJeong Tae Kim
Jeong Tae Kim
TBTae Won Bae
Tae Won Bae
JLJaehyeon Lee
Jaehyeon Lee
YCYong Gon Cho
Yong Gon Cho

Verified
Journal Article
Open access
PDF file
WPWon Suk Park
Won Suk Park
SLSang Kuon Lee
Sang Kuon Lee
JGJin Gwack
Jin Gwack
SLSeung Yeob Lee
Seung Yeob Lee
YCYong Gon Cho
Yong Gon Cho
JPJoonhong Park
Joonhong Park
Dysbiosis in the bile microbiota of cholangiocarcinoma (CCA) patients suggests a potential role for microbial alterations in the pathogenesis of CCA. This study aimed to investigate bile microbial communities in patients with CCA and compare them to those in individuals with benign biliary diseases as a control (CTR) group. Microbial profiling was conducted using next-generation sequencing (NGS), targeting the V3–V4 regions of the 16S rRNA gene, followed by bioinformatics analysis using the VSEARCH and EzBioCloud platforms. Alpha and beta diversity analyses were performed to assess microbial richness and structural differences. The linear discriminant analysis effect size (LEfSe) was utilized to identify potential microbial biomarkers. Results: This study identified distinct microbial profiles in the two groups at both the phylum and genus levels. In the CTR group, Pseudomonadota (65%) was the dominant phyla, while Bacillota (49%) was more abundant in the CCA group. At the genus level, Escherichia (29%), Enterobacteriaceae (12%), Enterococcus (8%), Ralstonia (8%), and Clostridium (5%) were more prevalent in the CTR group, whereas Streptococcus (34%), Ralstonia (8%), and Veillonella (5%) were dominant in the CCA group. Although an alpha diversity analysis showed no statistically significant differences in species richness or diversity between groups, a beta diversity analysis revealed significant structural differences associated with disease severity. Our comparative microbiome study using LEfSe analysis suggested a statistically significant inhibition of normal intestinal bacterial flora in patients with CCA who had not received any treatment. These findings suggest that microbial dysbiosis may play a role in the pathogenesis of CCA. Specific microbial taxa were identified as potential biomarkers for distinguishing benign from malignant diseases. These results underscore the potential role of microbial dysbiosis in CCA pathogenesis and highlight the bile microbiota’s utility as a diagnostic marker for biliary diseases.

1 November 2019 in Annals of Laboratory Medicine
Verified
Journal Article
Open access
PDF file
NKNamsu Kim
Namsu Kim
JHJeong-Hwan Hwang
Jeong-Hwan Hwang
YCYong Gon Cho
Yong Gon Cho
DKDal Sik Kim
Dal Sik Kim
HLHye Soo Lee
Hye Soo Lee
JLJaehyeon Lee
Jaehyeon Lee
Kim N, et al. Ann Lab Med. 2019 Nov;39(6):587-589. https://doi.org/10.3343/alm.2019.39.6.587

23 February 2023 in Medicina
Verified
Journal Article
Open access
PDF file
JLJaehyeon Lee
Jaehyeon Lee
SLSeung Yeob Lee
Seung Yeob Lee
YCYong Gon Cho
Yong Gon Cho
DKDal Sik Kim
Dal Sik Kim
JPJoonhong Park
Joonhong Park
Background and Objectives: There are reports of false qualitative HBsAg results, because of various causes, such as samples with low HBsAg concentrations that may produce false positives. The main aims of this study were to validate the analytical accuracy and to assess the utility of the Elecsys assay compared to that of the qualitative HbsAg assay as a screening test in resolving equivocal qualitative HbsAg results. Materials and Methods: The limit of blank (LoB), the limit of detection (LoD), the limit of quantification (LoQ), and linearity were estimated to validate the analytical accuracy of the Elecsys HBsAg II Quant assay. A total of 449 serum samples showing initial equivocal results (1–50 index) were evaluated by Elecsys HBsAg II Quant and ADVIA Centaur HBsAg II assays. Results: The LoQ of the assay was determined to be 0.050 IU/mL, as provided by the manufacturer. The Kappa agreement between the two assays was almost perfect, at 0.9669, despite seven discordant results. With a specificity of 100% at new cut-off index value ≥5.42, about 78 samples (17%, 78/449) with index value ≥5.42 were interpreted as positives without further duplicate tests, however the remaining 371 samples with index value <5.42 need to be confirmed with additional HBV marker assays. Conclusions: We confirm that the Elecsys HBsAg II Quant assay is accurate and sensitive for HBV infection and recommend it as an alternative confirmatory HBsAg assay for resolving equivocal qualitative HBsAg results.