Goo-Bo Jeong

Prof. Dr. Goo-Bo Jeong

Gachon University, College of Medicine
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

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

Representative Publications

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24 November 2022 in Frontiers in Molecular Neuroscience
Verified
Journal Article
Open access
ARAlok Raghav
Alok Raghav
MSManish Singh
Manish Singh
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong
RGRicha Giri
Richa Giri
SASaurabh Agarwal
Saurabh Agarwal
KGKirti Amresh Gautam
Kirti Amresh Gautam
Introduction: Extracellular vesicles (EVs) are known to have a significant role in the central nervous system (CNS) and neurodegenerative disease.Methods: PubMed, Scopus, ISI Web of Science, EMBASE, and Google Scholar were used to identify published articles about EV modifications (2012 to Feb 2022).Results: In total, 1,435 published papers were identified among the searched articles, with 1,128 non-duplicate publications being identified. Following the screening of titles and abstracts, 214 publications were excluded; following the full-text screening of 93 published articles, another 33 publications were excluded. The remaining 60 studies were considered. The kappa statistic of 0.868 indicated that the raters were highly reliable. Furthermore, the inter-reliability and intra-reliability coefficients were found to be 0.931 and 0.908, respectively, indicating strong reliability and consistency between the eligible studies identified by the raters. A total of 27 relevant studies demonstrated the role of EVs as therapeutic and diagnostic biomarkers in neurodegenerative diseases. Of note, 19 and 14 studies, respectively, found EVs to be pioneering in diagnostic and therapeutic roles.Discussion: EVs play an important role in the central nervous system (CNS), aiding in cell-to-cell communication and serving as a diagnostic marker and therapeutic target in a variety of neurodegenerative diseases. EVs are the home of several proteins [including-synuclein (-syn) and tau proteins], lipids, and genetic materials such as DNA and RNA. The presence of novel miRNAs in EVs suggests biomarkers for the diagnosis and screening of neurodegenerative disorders. Furthermore, EVs play an important role in the pathogenesis of such disorders. This systematic review discussed the current state of EVs’ role in neurological diseases, as well as some preclinical studies on the therapeutic and diagnostic potential of EVs.

30 December 2021 in Journal of Nanobiotechnology
Verified
Journal Article
Open access
PDF file
ARAlok Raghav
Alok Raghav
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong
Background: Tailoring extracellular vesicles (EVs) can bequeath them with diverse functions and efficient performance in nano-biotechnology. Engineering and modification of EVs improves the targeted drug delivery efficiency. Here, we performed systematic review of various methods for EVs modifications. Methods: PubMed, Scopus, ISI Web of Science, EMBASE, and Google Scholar were searched for available articles on EVs modifications (up to March 2021). In total, 1208 articles were identified and assessed, and then only 36 articles were found eligible and included. Results: Six studies demonstrate the application of click chemistry, seven studies used co-incubation, two studies used chemical transfection, four studies implicated electroporation and sonication approach for modification of EVs. Moreover, two studies utilized microfluidics as suitable approach for loading cargo into EVs, while eight studies showed freeze–thaw method as feasible for these biological nanoparticles. Conclusion: Freeze–thaw approach is found to be convenient and popular among researchers for performing modifications in EVs for the purpose of targeted drug delivery loading. Clinical-grade EVs production with good clinical practices (GCPs) is challenging in the current scenario. More studies are needed to determine the best suitable approach for cargo loading of EVs that may be exploited for research and therapeutic use. Graphical

7 March 2021 in Cells
Verified
Journal Article
Open access
PDF file
Alok RaghavAlok Raghav
Alok Raghav
Zeeshan KhanZeeshan Khan
Zeeshan Khan
VUViabhav Kumar Upadhayay
Viabhav Kumar Upadhayay
PTPrashant Tripathi
Prashant Tripathi
KGKirti Amresh Gautam
Kirti Amresh Gautam
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong
The novel coronavirus severe acute respiratory syndrome-CoV-2 (SARS-CoV-2) is responsible for COVID-19 infection. The COVID-19 pandemic represents one of the worst global threats in the 21st century since World War II. This pandemic has led to a worldwide economic recession and crisis due to lockdown. Biomedical researchers, pharmaceutical companies, and premier institutes throughout the world are claiming that new clinical trials are in progress. During the severe phase of this disease, mechanical ventilators are used to assist in the management of outcomes; however, their use can lead to the development of pneumonia. In this context, mesenchymal stem cell (MSC)-derived exosomes can serve as an immunomodulation treatment for COVID-19 patients. Exosomes possess anti-inflammatory, pro-angiogenic, and immunomodulatory properties that can be explored in an effort to improve the outcomes of SARS-CoV-2-infected patients. Currently, only one ongoing clinical trial (NCT04276987) is specifically exploring the use of MSC-derived exosomes as a therapy to treat SARS-CoV-2-associated pneumonia. The purpose of this review is to provide insights of using exosomes derived from mesenchymal stem cells in management of the co-morbidities associated with SARS-CoV-2-infected persons in direction of improving their health outcome. There is limited knowledge of using exosomes in SARS-CoV-2; the clinicians and researchers should exploit exosomes as therapeutic regime.

1 January 2014 in Computational and Mathematical Methods in Medicine
Verified
Journal Article
Open access
PDF file
TKTae-Yun Kim
Tae-Yun Kim
NCNam-Hoon Cho
Nam-Hoon Cho
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong
EBEwert Bengtsson
Ewert Bengtsson
HCHeung-Kook Choi
Heung-Kook Choi
One of the most significant processes in cancer cell and tissue image analysis is the efficient extraction of features for grading purposes. This research applied two types of three-dimensional texture analysis methods to the extraction of feature values from renal cell carcinoma tissue images, and then evaluated the validity of the methods statistically through grade classification. First, we used a confocal laser scanning microscope to obtain image slices of four grades of renal cell carcinoma, which were then reconstructed into 3D volumes. Next, we extracted quantitative values using a 3D gray level cooccurrence matrix (GLCM) and a 3D wavelet based on two types of basis functions. To evaluate their validity, we predefined 6 different statistical classifiers and applied these to the extracted feature sets. In the grade classification results, 3D Haar wavelet texture features combined with principal component analysis showed the best discrimination results. Classification using 3D wavelet texture features was significantly better than 3D GLCM, suggesting that the former has potential for use in a computer-based grading system.

1 January 2013 in Anatomy & Cell Biology
Verified
Journal Article
Open access
PDF file
HLHua Li
Hua Li
SJSheng-Yu Jin
Sheng-Yu Jin
HSHyun-Joon Son
Hyun-Joon Son
JSJe Hoon Seo
Je Hoon Seo
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong
Li H, et al. Anat Cell Biol. 2013 Mar;46(1):57-67. http://dx.doi.org/10.5115/acb.2013.46.1.57

1 October 2014 in International Journal of Cardiology
Verified
Journal Article
Closed access
JHJun-Hee Hong
Jun-Hee Hong
HPHyoung Min Park
Hyoung Min Park
KBKyung Hee Byun
Kyung Hee Byun
BLBong Hee Lee
Bong Hee Lee
WKWoong Chol Kang
Woong Chol Kang
Goo-Bo JeongGoo-Bo Jeong
Goo-Bo Jeong