Joong-Bok Lee

Prof. Dr. Joong-Bok Lee

Konkuk University, Seoul, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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2 July 2015 in PLOS ONE
Verified
Journal Article
Open access
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COChangin Oh
Changin Oh
KLKunkyu Lee
Kunkyu Lee
YCYeotaek Cheong
Yeotaek Cheong
SLSang-Won Lee
Sang-Won Lee
SPSeung-Yong Park
Seung-Yong Park
JLJoong-Bok Lee
Joong-Bok Lee
The oral microbiome, which is closely associated with many diseases, and the resident pathogenic oral bacteria, which can be transferred by close physical contact, are important public health considerations. Although the dog is the most common companion animal, the composition of the canine oral microbiome, which may include human pathogenic bacteria, and its relationship with that of their owners are unclear. In this study, 16S rDNA pyrosequencing was used to compare the oral microbiomes of 10 dogs and their owners and to identify zoonotic pathogens. Pyrosequencing revealed 246 operational taxonomic units in the 10 samples, representing 57 genera from eight bacterial phyla. Firmicutes (57.6%), Proteobacteria (21.6%), Bacteroidetes (9.8%), Actinobacteria (7.1%), and Fusobacteria (3.9%) were the predominant phyla in the human oral samples, whereas Proteobacteria (25.7%), Actinobacteria (21%), Bacteroidetes (19.7%), Firmicutes (19.3%), and Fusobacteria (12.3%) were predominant in the canine oral samples. The predominant genera in the human samples were Streptococcus (43.9%), Neisseria (10.3%), Haemophilus (9.6%), Prevotella (8.4%), and Veillonella (8.1%), whereas the predominant genera in the canine samples were Actinomyces (17.2%), Unknown (16.8), Porphyromonas (14.8), Fusobacterium (11.8), and Neisseria (7.2%). The oral microbiomes of dogs and their owners were appreciably different, and similarity in the microbiomes of canines and their owners was not correlated with residing in the same household. Oral-to-oral transfer of Neisseria shayeganii, Porphyromonas canigingivalis, Tannerella forsythia, and Streptococcus minor from dogs to humans was suspected. The finding of potentially zoonotic and periodontopathic bacteria in the canine oral microbiome may be a public health concern.

1 January 2012 in Clinical and Experimental Vaccine Research
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Journal Article
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NLNak-Hyung Lee
Nak-Hyung Lee
JLJung-Ah Lee
Jung-Ah Lee
SPSeung-Yong Park
Seung-Yong Park
CSChang-Seon Song
Chang-Seon Song
ICIn-Soo Choi
In-Soo Choi
JLJoong-Bok Lee
Joong-Bok Lee
Lee NH, et al. Clin Exp Vaccine Res. 2012 Jul;1(1):18-34. https://doi.org/10.7774/cevr.2012.1.1.18

1 June 2014 in Vaccine
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Journal Article
Closed access
JLJung-Ah Lee
Jung-Ah Lee
BKByungjoon Kwon
Byungjoon Kwon
FOFernando A. Osorio
Fernando A. Osorio
Asit PattnaikAsit Pattnaik
Asit Pattnaik
NLNak-Hyung Lee
Nak-Hyung Lee
JLJoong-Bok Lee
Joong-Bok Lee

19 June 2020 in Transboundary and Emerging Diseases
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Journal Article
Closed access
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KCKi-Hyun Cho
Ki-Hyun Cho
Hyun-Joo KimHyun-Joo Kim
Hyun-Joo Kim
YKYong‐Joo Kim
Yong‐Joo Kim
HKHae‐Eun Kang
Hae‐Eun Kang
Beatriz Martínez-LópezBeatriz Martínez-López
Beatriz Martínez-López
JLJoong-Bok Lee
Joong-Bok Lee

10 December 2021 in Pathogens
Verified
Journal Article
Open access
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TLTae-Min La
Tae-Min La
TKTaesoo Kim
Taesoo Kim
Hong-Jae LeeHong-Jae Lee
Hong-Jae Lee
JLJoong-Bok Lee
Joong-Bok Lee
SPSeung Yong Park
Seung Yong Park
SLSang-Won Lee
Sang-Won Lee
The Salmonella Enterica subsp. Enterica serovar Enteritidis is one of main serovars isolated from human patients with food poisoning and poultry without clinical signs. Consumption of poultry products contaminated with Salmonella Enteritidis is a common source of human salmonellosis; 82 Salmonella spp. were isolated from 291 samples of retail chicken meat, 201 one-day-old chicks, 30 internal organs of chickens, 156 chicken eggs, 100 duck eggs, 38 straw bedding samples, 18 samples of retail duck meat, and 19 swab samples from slaughterhouses in 2019 and 2020. An antibiotic susceptibility test was performed for all isolates, revealing 33 multidrug-resistant (MDR) strains. The whole genome of 33 MDR strains isolated in 2019 and 2020 and 10 strains isolated in 2011, 2012, and 2017 was sequenced using the MinION sequencing protocol. Within these 43 samples, 5 serovars were identified: S. Enteritidis, S. Agona, S. Virchow, S. Albany, and S. Bareilly. The most common serovar was S. Enteritidis (26/43), which showed the highest resistance to ampicillin (100%), followed by nalidixic acid (90%) and colistin (83%). Core genome multilocus sequence typing analysis showed that the S. Enteritidis strains isolated from different sources and in different years were clustered together. In addition, the S. Enteritidis strains isolated since 2011 consistently harbored the same antibiotic resistance patterns.

HJHa Kyung Joung
Ha Kyung Joung
SHSang Ha Han
Sang Ha Han
SPSu-Jung Park
Su-Jung Park
WJWeon-Hwa Jheong
Weon-Hwa Jheong
TATae-Seok Ahn
Tae-Seok Ahn
Soon-Young PaikSoon-Young Paik
Soon-Young Paik
Widespread outbreaks of foot-and-mouth disease and avian influenza occurred in South Korea during 2010. In response to the culling of many animals to attenuate the spread of disease, South Korea used mass burial sites to dispose of the large number of carcasses; consequently, concerns about groundwater contamination by leachate from these burial sites are increasing. Groundwater is one of the main sources of drinking water, and its cleanliness is directly related to public health. Thus, this study aimed to evaluate the safety of groundwater around the burial sites (total of 600 sites). A total of 1,200 groundwater samples were collected though the country, and microbial analysis was conducted during two time periods: during the spring (n = 600; April to June 2012) and after rainfall (n = 600; August to October, 2012; fall). Fecal coliform and Escherichia coli were detected in 173 (14.4%) and 85 (7.1%) of the 1,200 samples, respectively. Salmonella spp. and Shigella spp. each were detected only once (0.083%). Clostridium perfringens was detected from 7 groundwater samples (0.583%), and E. coli O157:H7 was not detected. With respect to norovirus, only the GII type was detected from six groundwater samples (0.5%), and enterovirus was detected in 15 groundwater samples (1.25%). The frequency of E. coli that we detected was lower than that found in previous studies conducted in South Korea, but we detected higher frequency of fecal coliform than that observed in a previous report. The contamination frequencies of Salmonella spp. and Shigella spp. were very low, but C. perfringens, which could be an indicator of fecal pollution, was detected in seven regions. Overall, the results of the present study indicate a low possibility of contamination from burial sites. However, consistent monitoring is required to prevent microbial contamination of groundwater near the burial sites.