The predictive value of m<sup>6</sup>A methylation regulators in chronic kidney disease

CUI Chaoqun; ZHANG Fan; LI Yichun; ZHANG Tieru; ZHOU Han; LEI Lijian

doi:10.16462/j.cnki.zhjbkz.2024.11.015

Volume 28 Issue 11

Nov. 2024

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CUI Chaoqun, ZHANG Fan, LI Yichun, ZHANG Tieru, ZHOU Han, LEI Lijian. The predictive value of m6A methylation regulators in chronic kidney disease[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1336-1343. doi: 10.16462/j.cnki.zhjbkz.2024.11.015

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CUI Chaoqun, ZHANG Fan, LI Yichun, ZHANG Tieru, ZHOU Han, LEI Lijian. The predictive value of m⁶A methylation regulators in chronic kidney disease[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1336-1343. doi: 10.16462/j.cnki.zhjbkz.2024.11.015

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The predictive value of m⁶A methylation regulators in chronic kidney disease

doi: 10.16462/j.cnki.zhjbkz.2024.11.015

CUI Chaoqun¹,
ZHANG Fan¹,
LI Yichun¹,
ZHANG Tieru¹,
ZHOU Han¹,
LEI Lijian^{1, 2, 3
,
,}

1.
Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
2.
MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Shanxi Medical University, Taiyuan 030001, China
3.
Research Centre of Environmental Pollution and Major Chronic Diseases Epidemiology, Shanxi Medical University, Taiyuan 030001, China

Funds:

National Natural Science Foundation of China 81872701

More Information

Corresponding author: LEI Lijian, E-mail: wwdlijian@sxmu.edu.cn
Received Date: 2024-07-22
Rev Recd Date: 2024-10-15

Available Online: 2024-12-23

Publish Date: 2024-11-10

Abstract

Abstract

Objective To investigate in the expression changes of RNA N⁶-methyladenosine (m⁶A) methylation regulators in patients with chronic kidney disease (CKD) and provide novel ideas for disease prevention. Methods A community population in a city in North China was selected to compare the baseline characteristics between the case group (151) and control (362) group. The correlation between the expression of the regulators of RNA m⁶A methylation and renal function-related indexes was analyzed. Screening of relevant variables for the construction of multivariable logistic regression models using LASSO regression, and its validity was assessed using the receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA). Results The expression level of methyltransferase like 14 (METTL14) was higher in the case group (P < 0.05). Correlation analysis revealed that METTL14 (r_s=-0.110, P < 0.05) and human Alk B homolog 5 (ALKBH5) (r_s=-0.218, P < 0.001) were negatively correlated with transforming growth factor (TGF)-β1. Fat mass and obesity-associated protein (FTO) was positively correlated with Urea (r_s=0.169, P < 0.001) and TGF-β1 (r_s=0.088, P < 0.05). The regression analysis results indicated that gender, age, serum creatinine, METTL14, total cholesterol, and per capita monthly household income were predictors for CKD (all P < 0.05). A risk prediction model was constructed based on this, and the area under the curve (AUC) was 0.796 (95% CI: 0.752-0.840). The average absolute error verified by bootstrap method was 0.036. The Hosmer Lemeshow goodness of fit test showed that the prediction model had good calibration ability (χ² =12.57, P=0.128). Conclusions The expression level of METTL14 is higher in patients with CKD. There is a correlation between METTL14 and the development of CKD.
- Chronic kidney disease,
- RNA methylation,
- Nomograms,
- LASSO regression

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References(19)

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