Hee-Kyung Park

Prof. Dr. Hee-Kyung Park

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

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7 July 2016 in Scientific Reports
Verified
Journal Article
Open access
YCYun Sik Choi
Yun Sik Choi
YKYunji Kim
Yunji Kim
HYHye-Jung Yoon
Hye-Jung Yoon
KBKeum Jin Baek
Keum Jin Baek
JAJehan Alam
Jehan Alam
YCYoungnim Choi
Youngnim Choi
Oral lichen planus (OLP) is a chronic T cell-mediated mucocutaneous disease of unknown etiopathogenesis. Although various antigens have been considered, what actually triggers the inflammatory response of T cells is unknown. In the present study, we propose that intracellular bacteria present within tissues trigger T cell infiltration and provide target antigens. Sections of OLP (n = 36) and normal (n = 10) oral mucosal tissues were subjected to in situ hybridization using a universal probe targeting the bacterial 16S rRNA gene and immunohistochemistry with anti-CD3, anti-CD4, anti-CD8, and anti-macrophage-specific antibodies. Bacteria were abundant throughout the epithelium and the lamina propria of OLP tissues, which exhibited positive correlations with the levels of infiltrated CD3+, CD4+, and CD8+ cells. Furthermore, bacteria were detected within the infiltrated T cells. Pyrosequencing analysis of the mucosal microbiota from OLP patients (n = 13) and control subjects (n = 11) revealed a decrease in Streptococcus and increases in gingivitis/periodontitis-associated bacteria in OLP lesions. Using the selected bacterial species, we demonstrated that certain oral bacteria damage the epithelial physical barrier, are internalized into epithelial cells or T cells, and induce production of T cell chemokines CXCL10 and CCL5. Our findings provide insights into the pathogenesis of OLP.

Verified
Journal Article
Open access
PDF file
YLYeon-Hee Lee
Yeon-Hee Lee
HPHee-Kyung Park
Hee-Kyung Park
QAQ-Schick Auh
Q-Schick Auh
HNHaram Nah
Haram Nah
JLJae Seo Lee
Jae Seo Lee
IKIl Keun Kwon
Il Keun Kwon
Exosomes are nanosized vesicles (30–140 nm) of endocytic origin that play important roles in regenerative medicine. They are derived from cell membranes during endocytic internalization and stabilize in biological fluids such as blood and synovia. Temporomandibular joint osteoarthritis (TMJ OA) is a degenerative disease, which, in addition to chronic pain, is characterized by progressive cartilage breakdown, condylar bone remodeling, and synovitis. However, traditional clinical treatments have limited symptom- and structure-modifying effects to restore damaged cartilage and other TMJ tissues. This is due to the limited self-healing capacity of condylar cartilage. Recently, stem-cell-derived exosomes have been studied as an alternative therapeutic approach to tissue repair and regeneration. It is known that trophic regulation of mesenchymal stem cells (MSCs) has anti-inflammatory and immunomodulatory effects under pathological conditions, and research on MSC-derived exosomes is rapidly accumulating. MSC-derived exosomes mimic the major therapeutic effects of MSCs. They affect the activity of immune effector cells and possess multilineage differentiation potential, including chondrogenic and osteogenic differentiation. Furthermore, exosomes are capable of regenerating cartilage or osseous compartments and restoring injured tissues and can treat dysfunction and pain caused by TMJ OA. In this review, we looked at the uniqueness of TMJ, the pathogenesis of TMJ OA, and the potential role of MSC-derived exosomes for TMJ cartilage and bone regeneration.

1 April 2016 in BMC Microbiology
Verified
Journal Article
Open access
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YKYun-Ji Kim
Yun-Ji Kim
YCYun Sik Choi
Yun Sik Choi
KBKeum Jin Baek
Keum Jin Baek
SYSeok-Hwan Yoon
Seok-Hwan Yoon
HPHee-Kyung Park
Hee-Kyung Park
YCYoungnim Choi
Youngnim Choi
Recurrent aphthous stomatitis (RAS) is a common oral mucosal disorder of unclear etiopathogenesis. Although recent studies of the oral microbiota by high-throughput sequencing of 16S rRNA genes have suggested that imbalances in the oral microbiota may contribute to the etiopathogenesis of RAS, no specific bacterial species associated with RAS have been identified. The present study aimed to characterize the microbiota in the oral mucosa and saliva of RAS patients in comparison with control subjects at the species level. The bacterial communities of the oral mucosa and saliva from RAS patients with active lesions (RAS, n = 18 for mucosa and n = 8 for saliva) and control subjects (n = 18 for mucosa and n = 7 for saliva) were analyzed by pyrosequencing of the 16S rRNA genes. There were no significant differences in the alpha diversity between the controls and the RAS, but the mucosal microbiota of the RAS patients showed increased inter-subject variability. A comparison of the relative abundance of each taxon revealed decreases in the members of healthy core microbiota but increases of rare species in the mucosal and salivary microbiota of RAS patients. Particularly, decreased Streptococcus salivarius and increased Acinetobacter johnsonii in the mucosa were associated with RAS risk. A dysbiosis index, which was developed using the relative abundance of A. johnsonii and S. salivarius and the regression coefficients, correctly predicted 83 % of the total cases for the absence or presence of RAS. Interestingly, A. johnsonii substantially inhibited the proliferation of gingival epithelial cells and showed greater cytotoxicity against the gingival epithelial cells than S. salivarius. RAS is associated with dysbiosis of the mucosal and salivary microbiota, and two species associated with RAS have been identified. This knowledge may provide a diagnostic tool and new targets for therapeutics for RAS.

13 May 2021 in Scientific Reports
Verified
Journal Article
Open access
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ECEunhye Choi
Eunhye Choi
DKDonghyun Kim
Donghyun Kim
JLJeong-Yun Lee
Jeong-Yun Lee
HPHee-Kyung Park
Hee-Kyung Park
Orthopantomogram (OPG) is important for primary diagnosis of temporomandibular joint osteoarthritis (TMJOA), because of cost and the radiation associated with computed tomograms (CT). The aims of this study were to develop an artificial intelligence (AI) model and compare its TMJOA diagnostic performance from OPGs with that of an oromaxillofacial radiology (OMFR) expert. An AI model was developed using Karas’ ResNet model and trained to classify images into three categories: normal, indeterminate OA, and OA. This study included 1189 OPG images confirmed by cone-beam CT and evaluated the results by model (accuracy, precision, recall, and F1 score) and diagnostic performance (accuracy, sensitivity, and specificity). The model performance was unsatisfying when AI was developed with 3 categories. After the indeterminate OA images were reclassified as normal, OA, or omission, the AI diagnosed TMJOA in a similar manner to an expert and was in most accord with CBCT when the indeterminate OA category was omitted (accuracy: 0.78, sensitivity: 0.73, and specificity: 0.82). Our deep learning model showed a sensitivity equivalent to that of an expert, with a better balance between sensitivity and specificity, which implies that AI can play an important role in primary diagnosis of TMJOA from OPGs in most general practice clinics where OMFR experts or CT are not available.

1 July 2012 in Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
Verified
Journal Article
Closed access
HPHee-Kyung Park
Hee-Kyung Park
SHShelley Hurwitz
Shelley Hurwitz
SWSook-Bin Woo
Sook-Bin Woo

26 February 2020 in Scientific Reports
Verified
Journal Article
Open access
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KBKeumjin Baek
Keumjin Baek
JLJaewon Lee
Jaewon Lee
ALAhreum Lee
Ahreum Lee
JLJunho Lee
Junho Lee
HYHye-Jung Yoon
Hye-Jung Yoon
YCYoungnim Choi
Youngnim Choi
Oral lichen planus (OLP) is a chronic T cell-mediated inflammatory disease of unknown etiology. We previously proposed that the intracellular bacteria detected in OLP lesions are important triggering factors for T cell infiltration. This study aimed to identify OLP-associated bacterial species through the characterization of intratissue bacterial communities of OLP lesions. Seven pairs of bacterial communities collected from the mucosal surface and biopsied tissues of OLP lesions were analyzed by high-throughput sequencing of the 16S rRNA gene. The intratissue bacterial communities were characterized by decreased alpha diversity but increased beta diversity compared with those on the mucosal surface. While the relative abundance of most taxa was decreased within the tissues, that of Escherichia coli was significantly increased. Four E. coli strains were isolated from additional OLP biopsies and verified as K12 strains by whole-genome sequencing. The distribution of E. coli in sections of control (n = 12) and OLP (n = 22) tissues was examined by in situ hybridization. E. coli was detected in most OLP tissues, suggesting its potential role in the pathogenesis of OLP. The oral E. coli strains isolated from OLP tissues will be useful to investigate their role as triggering factors for T cell infiltration.