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. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: J Ren Nutr. 2020 Jul 18;31(3):248–256. doi: 10.1053/j.jrn.2020.05.013

Figure 2.

Figure 2.

Visualization of principal component analysis of the proportions of different circulating osteocalcin fragments. The first principal component (PC1) has the greatest factor loadings for the following fragments: Y[1–49]V (Intact), pE[4–49]V, pE[4–48]P, and W[5–49]V. The second principal component (PC2) has the greatest factor loadings for the following fragments: Y[3–49]V, Y[1–48]P, L[2–49]V, and Y[3–48]P. Together, PC1 and PC2 explain 39% and 22% of the total variability in fragment proportions, respectively, or cumulatively explain 62% of the total variability in the proportions of different circulating osteocalcin fragments. The value of PC1 differed significantly (p < 0.0001) between participants with chronic kidney disease (CKD) and controls.