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Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint
Published on: July 22, 2021
Gene expression signature in endemic osteoarthritis by microarray analysis
Xi Wang1, Yujie Ning2, Feng Zhang3
1School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No. 76 Yanta West Road, Xi'an 710061, China. wx231115210@stu.xjtu.edu.cn.
Insights
Researchers identified a 20-gene signature in blood to detect Kashin-Beck Disease (KBD) early. This discovery offers a promising blood test for diagnosing KBD, enabling timely treatment.
Area of Science:
- Biochemistry
- Genetics
- Osteology
Background:
- Kashin-Beck Disease (KBD) is an endemic osteochondropathy with unknown pathogenesis.
- Current KBD diagnosis is only effective in advanced stages, hindering early intervention.
- There is a critical need for early diagnostic methods for KBD.
Purpose of the Study:
- To identify a blood-based gene expression signature for early KBD detection.
- To develop a non-invasive diagnostic tool for Kashin-Beck Disease.
- To improve KBD patient outcomes through early diagnosis and treatment.
Main Methods:
- Comparative analysis of gene expression profiles from cartilage and peripheral blood mononuclear cells (PBMCs).
- Microarray analysis of target genes in 100 KBD patients and 100 healthy controls.
- Validation of a gene signature using mRMR and SVM algorithms on training and test sets.
Main Results:
- Fifty unique genes were found to be differentially expressed between KBD patients and controls.
- A 20-gene signature was identified with 90% accuracy, 85% sensitivity, and 95% specificity.
- The 20-gene signature accurately distinguishes KBD patients from healthy individuals using peripheral blood.
Conclusions:
- A 20-gene signature in peripheral blood can accurately detect Kashin-Beck Disease.
- This finding supports the development of blood-based genetic biomarkers for KBD diagnosis.
- Early detection of KBD via a blood test could significantly improve patient prognosis.
Abstract:
Kashin-Beck Disease (KBD) is an endemic osteochondropathy with an unknown pathogenesis. Diagnosis of KBD is effective only in advanced cases, which eliminates the possibility of early treatment and leads to an inevitable exacerbation of symptoms. Therefore, we aim to identify an accurate blood-based gene signature for the detection of KBD. Previously published gene expression profile data on cartilage and peripheral blood mononuclear cells (PBMCs) from adults with KBD were compared to select potential target genes. Microarray analysis was conducted to evaluate the expression of the target genes in a cohort of 100 KBD patients and 100 healthy controls. A gene expression signature was identified using a training set, which was subsequently validated using an independent test set with a minimum redundancy maximum relevance (mRMR) algorithm and support vector machine (SVM) algorithm. Fifty unique genes were differentially expressed between KBD patients and healthy controls. A 20-gene signature was identified that distinguished between KBD patients and controls with 90% accuracy, 85% sensitivity, and 95% specificity. This study identified a 20-gene signature that accurately distinguishes between patients with KBD and controls using peripheral blood samples. These results promote the further development of blood-based genetic biomarkers for detection of KBD.
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