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Predictive Value of Serum miR-3150b-3p for Vascular Calcification in Hemodialysis Patients
Insights
MicroRNA miR-3150b-3p is overexpressed in hemodialysis patients with vascular calcification (VC). This microRNA shows potential as a diagnostic biomarker for predicting VC in this high-risk population.
Area of Science:
- Biochemistry
- Molecular Biology
- Nephrology
Background:
- Vascular calcification (VC) is a significant complication in hemodialysis (HD) patients, contributing to high mortality.
- Accurate and efficient diagnostic biomarkers for VC are urgently needed in this population.
Purpose of the Study:
- To evaluate the predictive capability of miR-3150b-3p for the presence and severity of VC in HD patients.
- To identify miR-3150b-3p as a potential diagnostic biomarker for VC.
Main Methods:
- Serum miR-3150b-3p levels were quantified using RT-qPCR in 145 HD patients with VC and 120 without VC.
- Logistic regression and ROC curve analyses assessed the predictive value of miR-3150b-3p.
- Correlations with parathyroid hormone (PTH) and osteocalcin were examined, alongside bioinformatics analysis of target genes.
Main Results:
- miR-3150b-3p was significantly upregulated in HD patients with VC compared to those without.
- Higher miR-3150b-3p levels correlated with increased VC severity and were identified as an independent risk factor.
- miR-3150b-3p showed a positive correlation with PTH and osteocalcin, suggesting involvement in calcification pathways.
Conclusions:
- Overexpressed miR-3150b-3p plays a role in the vascular calcification process in hemodialysis patients.
- miR-3150b-3p demonstrates promising potential as a predictive biomarker for vascular calcification.
- This study offers a novel diagnostic marker for VC in the hemodialysis population.
Background:
Vascular calcification (VC) is prevalent among hemodialysis (HD) patients and represents a key factor contributing to high mortality rates. Therefore, there is a need for biomarkers capable of accurately and efficiently diagnosing VC.
Aim:
To investigate the predictive value of miR-3150b-3p for VC.
Methods:
Clinically, we recruited 145 HD patients with VC and 120 without VC. Serum levels of miR-3150b-3p were evaluated by RT-qPCR. The predictive value of miR-3150b-3p for VC was assessed using ROC curves and logistic regression models. PTH and osteocalcin levels were measured by ELISA. Target gene prediction was performed using bioinformatics methods.
Results:
Noncalcified and calcified HD patients showed significant differences in age, dialysis duration, ALP, calcium, and CRP. Furthermore, miR-3150b-3p was upregulated in the calcified group, with higher levels correlating to more severe calcification. Logistic regression analysis indicated that miR-3150b-3p, age, and CRP were independent risk factors for VC development, with miR-3150b-3p demonstrating good diagnostic performance for VC. Crucially, miR-3150b-3p positively correlated with PTH and osteocalcin levels. Bioinformatics analysis revealed that its target genes were extensively involved in processes such as transcriptional regulation, nervous system development, and cell differentiation. Furthermore, these target genes may participate in pathways including cancer, axon guidance, and thyroid hormone signaling.
Conclusion:
Overexpressed miR-3150b-3p participated in the VC process of HD patients. Furthermore, it exhibited potential predictive value for VC. Our study provides an alternative diagnostic biomarker for VC.
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