Journal of Microbiology

Kyung-Ann Lee

1 Article

Characteristic alterations of gut microbiota in uncontrolled gout: Asad ul-Haq , Kyung-Ann Lee , Hoonhee Seo , Sukyung Kim , Sujin Jo , Kyung Min Ko , Su-Jin Moon , Yun Sung Kim , Jung Ran Choi , Ho-Yeon Song , Hyun-Sook Kim; J. Microbiol. 2022;60(12):1178-1190. Published online November 24, 2022; DOI: https://doi.org/10.1007/s12275-022-2416-1

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Microbiome research has been on the rise recently for a more in-depth understanding of gout. Meanwhile, there is a need to understand the gut microbiome related to uric acid-lowering drug resistance. In this study, 16S rRNA gene-based microbiota analysis was performed for a total of 65 stool samples from 17 healthy controls and 48 febuxostat-treated gout patients (including 28 controlled subjects with decreased uric acid levels and 20 uncontrolled subjects with non-reduced uric acid levels). Alpha diversity of bacterial community decreased in the healthy control, controlled, and uncontrolled groups. In the case of beta diversity, the bacterial community was significantly different among groups (healthy control, controlled, and uncontrolled groups). Taxonomic biomarker analysis revealed the increased population of g-Bifidobacterium in healthy controls and g-Prevotella in uncontrolled patients. PCR further confirmed this result at the species level. Additionally, functional metagenomics predictions led to the exploration of various functional biomarkers, including purine metabolism. The results of this study can serve as a basis for developing potential new strategies for diagnosing and treating gout from microbiome prospects.

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Characteristics of skin microbiome associated with disease severity in systemic sclerosis
Kyung-Ann Lee, Asad Ul-Haq, Hoonhee Seo, Sujin Jo, Sukyung Kim, Ho-Yeon Song, Hyun-Sook Kim
Journal of Microbiology.2025; 63(1): e:2409018. CrossRef
Habitual coarse grain intake, gut microbiota, and hyperuricemia in individuals with or at risk of metabolic syndrome: A post-hoc analysis
Juan He, Yifei He, Junqi Li, Guoqing Ma, Yunfeng Li, Jiawen Xie, Chen He, Xinran Feng, Kaizhen Jia, Wei Li, Menghan Wang, Amei Tang, Tian Tian, Xia Liao, Weimin Li, Feng Yan, Ying Zhang, Xiaoxiao Cao, Yuelang Zhang, Nan Yang, Xin Liu, Qian Wang
Nutrition, Metabolism and Cardiovascular Diseases.2025; : 104126. CrossRef
Different Prostatic Tissue Microbiomes between High- and Low-Grade Prostate Cancer Pathogenesis
Jae Heon Kim, Hoonhee Seo, Sukyung Kim, Md Abdur Rahim, Sujin Jo, Indrajeet Barman, Hanieh Tajdozian, Faezeh Sarafraz, Ho-Yeon Song, Yun Seob Song
International Journal of Molecular Sciences.2024; 25(16): 8943. CrossRef
Reassessing Gout Management through the Lens of Gut Microbiota
Jean Demarquoy, Oumaima Dehmej
Applied Microbiology.2024; 4(2): 824. CrossRef
Changes in gut microbiota structure and function in gout patients
Feiyan Zhao, Zhixin Zhao, Dafu Man, Zhihong Sun, Ning Tie, Hongbin Li, Heping Zhang
Food Bioscience.2023; 54: 102912. CrossRef
Effect of a Novel Handheld Photobiomodulation Therapy Device in the Management of Chemoradiation Therapy-Induced Oral Mucositis in Head and Neck Cancer Patients: A Case Series Study
In-Young Jo, Hyung-Kwon Byeon, Myung-Jin Ban, Jae-Hong Park, Sang-Cheol Lee, Yong Kyun Won, Yun-Su Eun, Jae-Yun Kim, Na-Gyeong Yang, Sul-Hee Lee, Pyeongan Lee, Nam-Hun Heo, Sujin Jo, Hoonhee Seo, Sukyung Kim, Ho-Yeon Song, Jung-Eun Kim
Photonics.2023; 10(3): 241. CrossRef
New drug targets for the treatment of gout arthritis: what’s new?
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A dynamics association study of gut barrier and microbiota in hyperuricemia
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Frontiers in Microbiology.2023;[Epub] CrossRef
Biochemical Recurrence in Prostate Cancer Is Associated with the Composition of Lactobacillus: Microbiome Analysis of Prostatic Tissue
Jae Heon Kim, Hoonhee Seo, Sukyung Kim, Asad Ul-Haq, Md Abdur Rahim, Sujin Jo, Ho-Yeon Song, Yun Seob Song
International Journal of Molecular Sciences.2023; 24(13): 10423. CrossRef
Remote effects of kidney drug transporter OAT1 on gut microbiome composition and urate homeostasis
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JCI Insight.2023;[Epub] CrossRef
Causal Relationship between Gut Microbiota and Gout: A Two-Sample Mendelian Randomization Study
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Nutrients.2023; 15(19): 4260. CrossRef
Emerging Urate-Lowering Drugs and Pharmacologic Treatment Strategies for Gout: A Narrative Review
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Drugs.2023; 83(16): 1501. CrossRef
Characterization of Fecal Microbiomes of Osteoporotic Patients in Korea
Asad Ul-Haq, Hoonhee Seo, Sujin Jo, Hyuna Park, Sukyung Kim, Youngkyoung Lee, Saebim Lee, Je Hoon Jeong, Ho‑Yeon Song
Polish Journal of Microbiology.2022; 71(4): 601. CrossRef

Kyung-Ann Lee

2 Articles

Microbiome therapeutic PMC72 through reverse translational research in gout: Mohammed Solayman Hossain, Hoonhee Seo, Kyung-Ann Lee, Asad ul-Haq, Sukyung Kim, Sujin Jo, Md Abdur Rahim, Hanieh Tajdozian, Fatemeh Ghorbanian, Youjin Yoon, Indrajeet Barman, Md Sarower Hossen Shuvo, Hyun-Sook Kim, Ho-Yeon Song; J. Microbiol. 2025;63(5):e2501002. Published online May 27, 2025; DOI: https://doi.org/10.71150/jm.2501002

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Abstract PDF Supplementary Material: Gout is an inflammatory arthritis resulting from the deposition of monosodium urate crystals. Urate-lowering therapies for gout have limitations, including side effects and limited efficacy, highlighting the need for novel therapeutic approaches to improve patient outcomes. In this context, our research team conducted a microbiome analysis of fecal samples from healthy individuals and gout patients, identifying Bifidobacterium as a key biomarker. Subsequently, we isolated and identified this strain, B. longum PMC72, and demonstrated its efficacy in a gout mouse model. In potassium oxonate (PO)-induced hyperuricemia mice, PMC72 significantly alleviated nausea, gait disturbances, ankle inflammation, and improved renal health. These effects were associated with marked reductions in oxidative stress markers, including serum uric acid, blood urea nitrogen, hepatic xanthine oxidase, and malondialdehyde (MDA) levels in serum, liver, and joint samples, as well as the downregulation of inflammation and uric acid transport-related gene expression in kidney samples. These benefits were comparable to those treated with Febuxostat, a standard urate-lowering therapy for gout. Furthermore, gut microbiome analysis revealed that PMC72 restored dysbiosis induced by hyperuricemia, contrasting with the reduced microbial diversity observed with febuxostat alone, and showed a complete recovery to eubiosis when combined with Febuxostat. These findings position PMC72 as a promising microbial therapeutic candidate for gout management, demonstrating significant development potential and serving as a benchmark for reverse translational microbiome-based therapeutic research.

Characteristics of skin microbiome associated with disease severity in systemic sclerosis: Kyung-Ann Lee, Asad Ul-Haq, Hoonhee Seo, Sujin Jo, Sukyung Kim, Ho-Yeon Song, Hyun-Sook Kim; J. Microbiol. 2025;63(1):e.2409018. Published online January 24, 2025; DOI: https://doi.org/10.71150/jm.2409018

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Abstract PDF Supplementary Material: Systemic sclerosis (SSc) is a chronic autoimmune disorder characterised by skin fibrosis and internal organ involvement. Disruptions in the microbial communities on the skin may contribute to the onset of autoimmune diseases that affect the skin. However, current research on the skin microbiome in SSc is lacking. This study aimed to investigate skin microbiome associated with disease severity in SSc. Skin swabs were collected from the upper limbs of 46 healthy controls (HCs) and 36 patients with SSc. Metagenomic analysis based on the 16S rRNA gene was conducted and stratified by cutaneous subtype and modified Rodnan skin score (mRSS) severity. Significant differences in skin bacterial communities were observed between the HCs and patients with SSc, with further significant variations based on subtype and mRSS severity. The identified biomarkers were Bacteroides and Faecalibacterium for patients with diffuse cutaneous SSc with high mRSS (≥ 10) and Mycobacterium and Parabacteroides for those with low mRSS (< 10). Gardnerella, Abies, Lactobacillus, and Roseburia were the biomarkers in patients with limited cutaneous SSc (lcSS) and high mRSS, whereas Coprococcus predominated in patients with lcSS and low mRSS. Cutaneous subtype analysis identified Pediococcus as a biomarker in the HCs, whereas mRSS analysis revealed the presence of Pseudomonas in conjunction with Pediococcus. In conclusion, patients with SSc exhibit distinct skin microbiota compared with healthy controls. Bacterial composition varies by systemic sclerosis cutaneous subtype and skin thickness.

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