Assessing the Relationship Between High-sensitivity C-reactive Protein and Kidney Function Employing Mendelian Randomization in the Japanese Community-based J-MICC Study

  • Fujii Ryosuke
    Departments of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences
  • Hishida Asahi
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Nishiyama Takeshi
    Department of Public Health, Nagoya City University Graduate School of Medical Sciences
  • Nakatochi Masahiro
    Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
  • Matsuo Keitaro
    Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine
  • Ito Hidemi
    Division of Cancer Information and Control, Aichi Cancer Center
  • Nishida Yuichiro
    Department of Preventive Medicine, Faculty of Medicine, Saga University
  • Shimanoe Chisato
    Department of Preventive Medicine, Faculty of Medicine, Saga University
  • Nakamura Yasuyuki
    Department of Health Science, Shiga University of Medical Science
  • Turin Tanvir Chowdhury
    Department of Health Science, Shiga University of Medical Science Department of Family Medicine, Cumming School of Medicine, University of Calgary
  • Suzuki Sadao
    Department of Public Health, Nagoya City University Graduate School of Medical Sciences
  • Watanabe Miki
    Department of Public Health, Nagoya City University Graduate School of Medical Sciences
  • Ibusuki Rie
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
  • Takezaki Toshiro
    Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
  • Mikami Haruo
    Cancer Prevention Center, Chiba Cancer Center Research Institute
  • Nakamura Yohko
    Cancer Prevention Center, Chiba Cancer Center Research Institute
  • Ikezaki Hiroaki
    Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University
  • Murata Masayuki
    Department of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University
  • Kuriki Kiyonori
    Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka
  • Kuriyama Nagato
    Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
  • Matsui Daisuke
    Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
  • Arisawa Kokichi
    Department of Preventive Medicine, Institute of Health Biosciences, the University of Tokushima Graduate School
  • Katsuura-Kamano Sakurako
    Department of Preventive Medicine, Institute of Health Biosciences, the University of Tokushima Graduate School
  • Tsukamoto Mineko
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Tamura Takashi
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Kubo Yoko
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Kondo Takaaki
    Departments of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine
  • Momozawa Yukihide
    RIKEN Center for Integrative Medical Sciences
  • Kubo Michiaki
    RIKEN Center for Integrative Medical Sciences
  • Takeuchi Kenji
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine
  • Wakai Kenji
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine

書誌事項

公開日
2022-11-05
資源種別
journal article
DOI
  • 10.2188/jea.je20200540
公開者
日本疫学会

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説明

<p>Background: Inflammation is thought to be a risk factor for kidney disease. However, whether inflammatory status is either a cause or an outcome of chronic kidney disease remains controversial. We aimed to investigate the causal relationship between high-sensitivity C-reactive protein (hs-CRP) and estimated glomerular filtration rate (eGFR) using Mendelian randomization (MR) approaches.</p><p>Methods: A total of 10,521 participants of the Japan Multi-institutional Collaborative Cohort Study was analyzed in this study. We used two-sample MR approaches (the inverse-variance weighted (IVW), the weighted median (WM), and the MR-Egger method) to estimate the effect of genetically determined hs-CRP on kidney function. We selected four and three hs-CRP associated single nucleotide polymorphisms (SNPs) as two instrumental variables (IV): IVCRP and IVAsian, based on SNPs previously identified in European and Asian populations. IVCRP and IVAsian explained 3.4% and 3.9% of the variation in hs-CRP, respectively.</p><p>Results: Using the IVCRP, genetically determined hs-CRP was not significantly associated with eGFR in the IVW and the WM methods (estimate per 1 unit increase in ln(hs-CRP), 0.000; 95% confidence interval [CI], −0.019 to 0.020 and −0.003; 95% CI, −0.019 to 0.014, respectively). For IVAsian, we found similar results using the IVW and the WM methods (estimate, 0.005; 95% CI, −0.020 to 0.010 and −0.004; 95% CI, −0.020 to 0.012, respectively). The MR-Egger method also showed no causal relationships between hs-CRP and eGFR (IVCRP: −0.008; 95% CI, −0.058 to 0.042; IVAsian: 0.001; 95% CI, −0.036 to 0.036).</p><p>Conclusion: Our two-sample MR analyses with different IVs did not support a causal effect of hs-CRP on eGFR.</p>

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