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Meta-Analysis
. 2024 Feb 23;14(1):4477.
doi: 10.1038/s41598-024-54812-4.

Correlation between soluble klotho and chronic kidney disease-mineral and bone disorder in chronic kidney disease: a meta-analysis

Zhongyu Fan  1 , Xuejiao Wei  1 , Xiaoyu Zhu  1 , Kun Yang  1 , Ling Tian  1 , Yujun Du  2 , Liming Yang  3
Affiliations
Meta-Analysis

Correlation between soluble klotho and chronic kidney disease-mineral and bone disorder in chronic kidney disease: a meta-analysis

Zhongyu Fan et al. Sci Rep. .

Abstract

We conducted a systematic search across medical databases, including PubMed, Web of Science, EMBASE, and Cochrane Library, up to March 2023. A total of 1944 subjects or individuals from 17 studies were included in our final analysis. The correlation coefficient (r) between sKlotho and calcium was [0.14, (0.02, 0.26)], and a moderate heterogeneity was observed (I2 = 66%, P < 0.05). The correlation coefficient (r) between Klotho and serum phosphate was [- 0.21, (- 0.37, - 0.04)], with apparent heterogeneity (I2 = 84%, P < 0.05). The correlation coefficient (r) between sKlotho and parathyroid hormone and vascular calcification was [- 0.23,(- 0.29, - 0.17); - 0.15, (- 0.23, - 0.08)], with no significant heterogeneity among the studies. (I2 = 40%, P < 0.05; I2 = 30%, P < 0.05). A significant correlation exists between low sKlotho levels and an increased risk of CKD-MBD in patients with CKD. According to the findings, sKlotho may play a role in alleviating CKD-MBD by lowering phosphorus and parathyroid hormone levels, regulating calcium levels, and suppressing vascular calcification. As analysis showed that sKlotho has an important impact on the pathogenesis and progression of CKD-MBD in CKD patients. Nonetheless, further comprehensive and high-quality studies are needed to validate our conclusions.

Keywords: Chronic kidney disease; Chronic kidney disease–mineral and bone disorder; Mineral metabolism; Soluble Klotho; Vascular calcification.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Screening procedures for the study.
Figure 2
Figure 2
Inclusion of literature quality assessment bias risk summary figure.
Figure 3
Figure 3
Forest plots of the summary r with effect estimate pooled r (95% CI) for the association between sKlotho level and Ca.
Figure 4
Figure 4
Forest plots of the summary r with effect estimate pooled r (95% CI) for the association between sKlotho level and P.
Figure 5
Figure 5
Forest plots of the summary r with effect estimate pooled r (95% CI) for the association between sKlotho level and PTH.
Figure 6
Figure 6
Forest plots of the summary r with effect estimate pooled r (95% CI) for the association between sKlotho level and PTH after removing Chen’s study.
Figure 7
Figure 7
Forest plots of the summary r with effect estimate pooled r (95% CI) for the association between sKlotho level and VC.
See this image and copyright information in PMC

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