Kym SM - Search Results

1

Bacteria-Derived Extracellular Vesicles in Urine as a Novel Biomarker for Gastric Cancer: Integration of Liquid Biopsy and Metagenome Analysis.

Park JY, Kang CS, Seo HC, Shin JC, Kym SM, Park YS, Shin TS, Kim JG, Kim YK. Park JY, et al. Among authors: kym sm. Cancers (Basel). 2021 Sep 18;13(18):4687. doi: 10.3390/cancers13184687. Cancers (Basel). 2021. PMID: 34572913 Free PMC article.

2

16S rRNA gene-based metagenomic analysis reveals differences in bacteria-derived extracellular vesicles in the urine of pregnant and non-pregnant women.

Yoo JY, Rho M, You YA, Kwon EJ, Kim MH, Kym S, Jee YK, Kim YK, Kim YJ. Yoo JY, et al. Exp Mol Med. 2016 Feb 5;48(2):e208. doi: 10.1038/emm.2015.110. Exp Mol Med. 2016. PMID: 26846451 Free PMC article.

3

Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis.

Yang J, McDowell A, Kim EK, Seo H, Lee WH, Moon CM, Kym SM, Lee DH, Park YS, Jee YK, Kim YK. Yang J, et al. Among authors: kym sm. Exp Mol Med. 2019 Oct 3;51(10):1-15. doi: 10.1038/s12276-019-0313-4. Exp Mol Med. 2019. PMID: 31582724 Free PMC article.

4

Comparison of serum microbiome composition in bipolar and major depressive disorders.

Rhee SJ, Kim H, Lee Y, Lee HJ, Park CHK, Yang J, Kim YK, Kym S, Ahn YM. Rhee SJ, et al. J Psychiatr Res. 2020 Apr;123:31-38. doi: 10.1016/j.jpsychires.2020.01.004. Epub 2020 Jan 21. J Psychiatr Res. 2020. PMID: 32028208

5

Colorectal cancer diagnostic model utilizing metagenomic and metabolomic data of stool microbial extracellular vesicles.

Kim DJ, Yang J, Seo H, Lee WH, Ho Lee D, Kym S, Park YS, Kim JG, Jang IJ, Kim YK, Cho JY. Kim DJ, et al. Sci Rep. 2020 Feb 18;10(1):2860. doi: 10.1038/s41598-020-59529-8. Sci Rep. 2020. PMID: 32071370 Free PMC article.

6

Brain tumor diagnostic model and dietary effect based on extracellular vesicle microbiome data in serum.

Yang J, Moon HE, Park HW, McDowell A, Shin TS, Jee YK, Kym S, Paek SH, Kim YK. Yang J, et al. Exp Mol Med. 2020 Sep;52(9):1602-1613. doi: 10.1038/s12276-020-00501-x. Epub 2020 Sep 16. Exp Mol Med. 2020. PMID: 32939014 Free PMC article.

7

Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects.

McDowell A, Kang J, Yang J, Jung J, Oh YM, Kym SM, Shin TS, Kim TB, Jee YK, Kim YK. McDowell A, et al. Among authors: kym sm. Exp Mol Med. 2022 Sep;54(9):1586-1595. doi: 10.1038/s12276-022-00846-5. Epub 2022 Sep 30. Exp Mol Med. 2022. PMID: 36180580 Free PMC article.

8

Clinical Characteristics and Risk Factors for Mortality in Critical COVID-19 Patients Aged 50 Years or Younger During Omicron Wave in Korea: Comparison With Patients Older Than 50 Years of Age.

Shi HJ, Yang J, Eom JS, Ko JH, Peck KR, Kim UJ, Jung SI, Kim S, Seok H, Hyun M, Kim HA, Kim B, Joo EJ, Cheong HS, Jun CH, Wi YM, Kim J, Kym S, Lim S, Park Y. Shi HJ, et al. J Korean Med Sci. 2023 Jul 17;38(28):e217. doi: 10.3346/jkms.2023.38.e217. J Korean Med Sci. 2023. PMID: 37463688 Free PMC article.

9

Fast Screening Systems for COVID-19.

Kym S. Kym S. J Korean Med Sci. 2020 Apr 20;35(15):e153. doi: 10.3346/jkms.2020.35.e153. J Korean Med Sci. 2020. PMID: 32301299 Free PMC article. No abstract available.

10

Enhanced eosinophil-mediated inflammation associated with antibody and complement-dependent pneumonic insults in critical COVID-19.

Kim DM, Kim Y, Seo JW, Lee J, Park U, Ha NY, Koh J, Park H, Lee JW, Ro HJ, Yun NR, Kim DY, Yoon SH, Na YS, Moon DS, Lim SC, Kim CM, Jeon K, Kang JG, Jang NY, Jeong H, Kim J, Cheon S, Sohn KM, Moon JY, Kym S, Han SR, Lee MS, Kim HJ, Park WY, Choi JY, Shin HW, Kim HY, Cho CH, Jeon YK, Kim YS, Cho NH. Kim DM, et al. Cell Rep. 2021 Oct 5;37(1):109798. doi: 10.1016/j.celrep.2021.109798. Epub 2021 Sep 20. Cell Rep. 2021. PMID: 34587481 Free PMC article.

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