Cited by 174Gut microbiota and healthOral microbiology and periodontitis researchMicrobial Community Ecology and Physiology

Characterization of gut microbiota profiles in coronary artery disease patients using data mining analysis of terminal restriction fragment length polymorphism: gut microbiota could be a diagnostic marker of coronary artery disease

Emoto, Takuo, Yamashita, Tomoya, Kobayashi, Toshio, Sasaki, Naoto, Hirota, Yushi, Hayashi, Tomohiro, So, Anna, Kasahara, Kazuyuki +5 more·2017·Heart and Vessels

Abstract

The association between atherosclerosis and gut microbiota has been attracting increased attention. We previously demonstrated a possible link between gut microbiota and coronary artery disease. Our aim of this study was to clarify the gut microbiota profiles in coronary artery disease patients using data mining analysis of terminal restriction fragment length polymorphism (T-RFLP). This study included 39 coronary artery disease (CAD) patients and 30 age- and sex- matched no-CAD controls (Ctrls) with coronary risk factors. Bacterial DNA was extracted from their fecal samples and analyzed by T-RFLP and data mining analysis using the classification and regression algorithm. Five additional CAD patients were newly recruited to confirm the reliability of this analysis. Data mining analysis could divide the composition of gut microbiota into 2 characteristic nodes. The CAD group was classified into 4 CAD pattern nodes (35/39 = 90 %), while the Ctrl group was classified into 3 Ctrl pattern nodes (28/30 = 93 %). Five additional CAD samples were applied to the same dividing model, which could validate the accuracy to predict the risk of CAD by data mining analysis. We could demonstrate that operational taxonomic unit 853 (OTU853), OTU657, and OTU990 were determined important both by the data mining method and by the usual statistical comparison. We classified the gut microbiota profiles in coronary artery disease patients using data mining analysis of T-RFLP data and demonstrated the possibility that gut microbiota is a diagnostic marker of suffering from CAD.

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Crossref · 10.1007/s00380-016-0841-y

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Authors
Emoto, T., Yamashita, T., Kobayashi, T., Sasaki, N., Hirota, Y., Hayashi, T., So, A., Kasahara, K., Yodoi, K., Matsumoto, T., Mizoguchi, T., Ogawa, W., & Hirata, K.-I.
Affiliations
  • Kobe University (JP)
  • Miyagi University (JP)
Corresponding author
Yamashita, Tomoya
Venue
Heart and Vessels
Published
2016-04-28
Volume
32
Issue
1
Pages
39-46
ISSN
  • 0910-8327 (ISSN-L)
  • 1615-2573
OpenAlex
W2344361464
Cited by
174
References
32
Citations by year
2026: 6 · 2025: 11 · 2024: 20 · 2023: 21 · 2022: 33 · 2021: 25 · 2020: 22 · 2019: 13 · 2018: 13 · 2017: 6 · 2016: 4
FWCI
6.23
Type
journal article
Language
en
Open access
closed
Locations
  • Heart and Vessels (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Takeda Science Foundation
  • Suzuken Memorial Foundation
  • Uehara Memorial Foundation
  • Mochida Memorial Foundation for Medical and Pharmaceutical Research
  • Mitsui Life Social Welfare Foundation
  • Kanae Medical Foundation
  • Senshin Medical Research Foundation
  • Yakult Bioscience Research Foundation
  • Translational Research Grant from Japan Circulation Society
  • Arteriosclerosis Research Foundation of Japan
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
Keywords
gut microbiota, coronary artery disease, atherosclerosis, diagnostic biomarkers, fecal microbiota, T-RFLP, data mining classification, operational taxonomic units, microbiota profiling
MeSH terms
Gastrointestinal Microbiome, Aged, Coronary Artery Disease, DNA, Bacterial, Feces, Female, Humans, Japan, Male, Middle Aged, Polymorphism, Restriction Fragment Length, Biomarkers, Case-Control Studies, Data Mining

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