1. Mendelian Randomization on hs-CRP and eGFR
- Author
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Kiyonori Kuriki, Haruo Mikami, Chisato Shimanoe, Masahiro Nakatochi, Asahi Hishida, Hiroaki Ikezaki, Kenji Wakai, Yuichiro Nishida, Sadao Suzuki, Miki Watanabe, Sakurako Katsuura-Kamano, Masayuki Murata, Rie Ibusuki, Mineko Tsukamoto, Daisuke Matsui, Tanvir Chowdhury Turin, Hidemi Ito, Ryosuke Fujii, Takeshi Nishiyama, Takashi Tamura, Toshiro Takezaki, Keitaro Matsuo, Yukihide Momozawa, Yasuyuki Nakamura, Nagato Kuriyama, Yohko Nakamura, Yoko Kubo, Michiaki Kubo, Kokichi Arisawa, Kenji Takeuchi, and Takaaki Kondo
- Subjects
Oncology ,medicine.medical_specialty ,genetic epidemiology ,Epidemiology ,Renal function ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,Kidney ,Polymorphism, Single Nucleotide ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Japan ,Internal medicine ,Mendelian randomization ,eGFR ,medicine ,Humans ,030212 general & internal medicine ,Mendelian randomization study ,Risk factor ,biology ,business.industry ,C-reactive protein ,General Medicine ,Mendelian Randomization Analysis ,medicine.disease ,hs-CRP ,C-Reactive Protein ,Genetic epidemiology ,inflammation ,biology.protein ,business ,Kidney disease ,Cohort study - Abstract
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. 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. 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). Conclusion: Our two-sample MR analyses with different IVs did not support a causal effect of hs-CRP on eGFR.
- Published
- 2022