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Identification and diagnostic significance of MPO, PRTN3, and CTNND1 as biomarkers in acute hematogenous
Xin Lv1,2, Jiafei Yang3, Kezhi Chen1,2
1Department of Pediatric Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Introduction:
Acute hematogenous osteomyelitis (AHO) is a severe bacterial bone infection predominantly affecting children. Early diagnosis is crucial to prevent the progression to chronic osteomyelitis. However, current diagnostic methods are limited in sensitivity and specificity, underscoring the need for reliable biomarkers.
Materials And Methods:
This study utilized gene expression data from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) associated with AHO. We employed three machine learning algorithms-The Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine-Recursive Feature Elimination (SVM-RFE), and Random Forest (RF)-to screen for potential diagnostic markers. The expression levels of key genes were validated using clinical samples from pediatric AHO patients. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic accuracy of these biomarkers.
Results:
Our analysis identified five candidate genes, among which Myeloperoxidase (MPO), Serum proteinase 3 (PRTN3), Catenin delta 1 (CTNND1) were significantly associated with AHO, MPO and PRTN3 were upregulated, while CTNND1 was downregulated in AHO samples compared to healthy controls. ROC curve analysis demonstrated that CTNND1 (AUC = 0.8832), MPO (AUC = 0.9803) and PRTN3 (AUC = 0.9767) exhibited strong diagnostic potential. Importantly, the expression levels of MPO and PRTN3 positively correlated with disease severity as classified by the Cierny-Mader staging system, whereas CTNND1 expression showed a negative correlation.
Conclusion:
MPO, PRTN3, and CTNND1 are promising biomarkers for the diagnosis and monitoring of AHO in children. Their expression levels correlate with disease severity, making them valuable tools for assessing the progression and treatment efficacy in pediatric AHO. Further research is warranted to explore their potential in clinical applications.
Insights
New biomarkers Myeloperoxidase (MPO), Proteinase 3 (PRTN3), and Catenin delta 1 (CTNND1) show promise for diagnosing childhood acute hematogenous osteomyelitis (AHO) and monitoring disease severity.
Area of Science:
- Biochemistry
- Molecular Biology
- Pediatric Infectious Diseases
Background:
- Acute hematogenous osteomyelitis (AHO) is a serious pediatric bone infection requiring early diagnosis to prevent chronicity.
- Current diagnostic methods for AHO lack sufficient sensitivity and specificity, highlighting the need for novel biomarkers.
Purpose of the Study:
- To identify and validate novel gene expression biomarkers for the diagnosis of pediatric AHO.
- To assess the correlation of identified biomarkers with disease severity in AHO patients.
Main Methods:
- Gene expression data from the Gene Expression Omnibus (GEO) database was analyzed using machine learning algorithms (LASSO, SVM-RFE, RF).
- Differentially expressed genes (DEGs) were identified and validated in clinical pediatric AHO samples.
- Receiver operating characteristic (ROC) curve analysis was performed to evaluate diagnostic accuracy.
Main Results:
- Five candidate genes were identified, with Myeloperoxidase (MPO), Proteinase 3 (PRTN3), and Catenin delta 1 (CTNND1) showing significant association with AHO.
- MPO and PRTN3 were upregulated, while CTNND1 was downregulated in AHO patients.
- ROC analysis indicated high diagnostic potential for MPO (AUC=0.9803), PRTN3 (AUC=0.9767), and CTNND1 (AUC=0.8832).
- MPO and PRTN3 expression correlated positively with disease severity (Cierny-Mader staging), while CTNND1 correlated negatively.
Conclusions:
- MPO, PRTN3, and CTNND1 are potential biomarkers for diagnosing and monitoring pediatric AHO.
- Biomarker expression levels correlate with disease severity, aiding in treatment assessment.
- Further research is needed to translate these findings into clinical practice for AHO management.
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