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2 results on '"Kazuna Kobayashi"'

1. Gut Microbiota and Coronary Plaque Characteristics

Author

Akihiro Nakajima, Satoru Mitomo, Haruhito Yuki, Makoto Araki, Lena Marie Seegers, Iris McNulty, Hang Lee, David Kuter, Midori Ishibashi, Kazuna Kobayashi, Jouke Dijkstra, Hirokazu Onishi, Hiroto Yabushita, Satoshi Matsuoka, Hiroyoshi Kawamoto, Yusuke Watanabe, Kentaro Tanaka, Shengpu Chou, Toru Naganuma, Masaaki Okutsu, Satoko Tahara, Naoyuki Kurita, Shotaro Nakamura, Suman Das, Sunao Nakamura, and Ik‐Kyung Jang

Subjects
16S rRNA, biomarkers, coronary artery disease, gut microbiota, intravascular ultrasound, optical coherence tomography, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Background The relationship between gut microbiota and in vivo coronary plaque characteristics has not been reported. This study was conducted to investigate the relationship between gut microbiota and coronary plaque characteristics in patients with coronary artery disease. Methods and Results Patients who underwent both optical coherence tomography and intravascular ultrasound imaging and provided stool and blood specimens were included. The composition of gut microbiota was evaluated using 16S rRNA sequencing. A total of 55 patients were included. At the genus level, 2 bacteria were associated with the presence of thin‐cap fibroatheroma, and 9 bacteria were associated with smaller fibrous cap thickness. Among them, some bacteria had significant associations with inflammatory/prothrombotic biomarkers. Dysgonomonas had a positive correlation with interleukin‐6, Paraprevotella had a positive correlation with fibrinogen and negative correlation with high‐density lipoprotein cholesterol, Succinatimonas had positive correlations with fibrinogen and homocysteine, and Bacillus had positive correlations with fibrinogen and high‐sensitivity C‐reactive protein. In addition, Paraprevotella, Succinatimonas, and Bacillus were also associated with greater plaque volume. Ten bacteria were associated with larger fibrous cap thickness. Some were associated with protective biomarker changes; Anaerostipes had negative correlations with trimethylamine N‐oxide, tumor necrosis factor α, and interleukin‐6, and Dielma had negative correlations with trimethylamine N‐oxide, white blood cells, plasminogen activator inhibitor‐1, and homocysteine, and a positive correlation with high‐density lipoprotein cholesterol. Conclusions Bacteria that were associated with vulnerable coronary plaque phenotype and greater plaque burden were identified. These bacteria were also associated with elevated inflammatory or prothrombotic biomarkers. Registration URL: https://www.umin.ac.jp/ctr/; Unique identifier: UMIN000041692.

Published
2022
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2. Biomarkers associated with coronary high-risk plaques

Author

Akihiro Nakajima, Peter Libby, Satoru Mitomo, Haruhito Yuki, Makoto Araki, Lena Marie Seegers, Iris McNulty, Hang Lee, Midori Ishibashi, Kazuna Kobayashi, Jouke Dijkstra, Toru Ouchi, Hirokazu Onishi, Hiroto Yabushita, Satoshi Matsuoka, Hiroyoshi Kawamoto, Yusuke Watanabe, Kentaro Tanaka, Shengpu Chou, Tomohiko Sato, Toru Naganuma, Masaaki Okutsu, Satoko Tahara, Naoyuki Kurita, Shotaro Nakamura, David J. Kuter, Sunao Nakamura, and Ik-Kyung Jang

Subjects
Inflammation, Optical coherence tomography, Interleukin-6, Fibrinogen, Hematology, Biomarker, Coronary Angiography, Coronary Vessels, Coronary artery disease, Plaque, Atherosclerotic, Bile Acids and Salts, C-Reactive Protein, Predictive Value of Tests, Creatinine, Humans, Prothrombin, Intravascular ultrasound, Cardiology and Cardiovascular Medicine, Homocysteine, Ultrasonography, Interventional, Tomography, Optical Coherence, Biomarkers, Vulnerable plaque
Abstract

Vascular inflammation, lipid metabolism, and thrombogenicity play a key role not only in atherogenesis but also in the development of acute coronary syndromes. Biomarkers associated with coronary high-risk plaques defined according to intravascular imaging have not been systematically studied. A total of 69 patients with coronary artery disease who underwent both optical coherence tomography and intravascular ultrasound imaging, and who provided blood specimens were included. Comprehensive biomarkers for inflammation, lipid, and coagulation were analyzed. Composite models sought biomarker patterns associated with thin-cap fibroatheroma (TCFA) and "high-risk plaques" (TCFA and large plaque burden). Two different composite models were developed for TCFA, based on the finding that high sensitivity C-reactive protein (hsCRP), plasminogen activator inhibitor-1, fibrinogen, IL-6, homocysteine and amyloid A levels were elevated, and high-density lipoprotein cholesterol (HDL) and bile acid levels were decreased in these patients. Both composite models were highly accurate for detecting patients with TCFA (area under curve [AUC]: 0.883 in model-A and 0.875 in model-B, both p 0.001). In addition, creatinine, hsCRP, fibrinogen, tumor necrosis factor-α, IL-6, homocysteine, amyloid A, HDL, prothrombin, and bile acid were useful for detecting patients with "high-risk plaques". Two composite models were highly accurate for detection of patients with "high-risk plaques" (AUC: 0.925 in model-A and 0.947 in model-B, both p 0.001). Biomarkers useful for detection of patients with high-risk coronary plaques defined according to intravascular imaging have been identified. These biomarkers may be useful to risk stratify patients and to develop targeted therapy.Clinical Trial Registration https://www.umin.ac.jp/ctr/ , UMIN000041692. Biomarkers and high-risk plaques hsCRP, PAI-1, fibrinogen, IL-6, homocysteine, amyloid A, HDL, and bile acid were useful for detecting patients with TCFA. hsCRP, fibrinogen, IL-6, homocysteine, amyloid A, creatinine, TNFα, HDL, prothrombin, and bile acid were useful for detecting patients with "high-risk plaques" (plaque which has both TCFA and large plaque burden). White arrowhead denotes TCFA. Red and green dashed lines denote lumen area and external elastic membrane area, respectively.

Published
2022

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