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Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Relationship between DNA Methylation Profiles and Active Tuberculosis Development from Latent Infection: a Pilot
Ying Du1, Xu Gao2, Jiaoxia Yan3
1NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
New DNA methylation biomarkers can help distinguish active tuberculosis (TB) from latent TB infection (LTBI). A combination of four specific biomarkers showed high sensitivity and specificity, offering a potential new diagnostic tool.
Area of Science:
- Genomics and Molecular Biology
- Infectious Diseases
- Biomarker Discovery
Background:
- Latent tuberculosis infection (LTBI) is a significant reservoir for active tuberculosis (TB) cases.
- Effective management of LTBI requires rapid and accurate tools to differentiate active TB from LTBI.
- Current diagnostic methods for distinguishing active TB from LTBI can be improved with novel biomarkers.
Purpose of the Study:
- To identify DNA methylation profiles as potential biomarkers for discriminating active TB from LTBI.
- To evaluate the diagnostic performance of identified differentially methylated CpGs (dmCpGs) in distinguishing active TB from LTBI.
Main Methods:
- Retrospective analysis of genomewide DNA methylation profiles using the Infinium MethylationEPIC BeadChip array.
- Comparison of DNA methylation levels between individuals with LTBI who developed active TB and LTBI controls.
- Identification and evaluation of differentially methylated CpGs (dmCpGs) using receiver operating characteristic (ROC) analysis.
Main Results:
- Eight dmCpGs were identified, with six in hypermethylated genes and two in hypomethylated genes.
- Individual dmCpGs showed areas under the curve (AUC) ranging from 0.72 to 0.84.
- A combination of four dmCpGs (cg02206980 + cg02214623 + cg12159502 + cg12321798) achieved the highest performance with an AUC of 0.88, 93.33% sensitivity, and 86.67% specificity.
Conclusions:
- DNA methylation levels show potential as diagnostic biomarkers for differentiating active TB from LTBI.
- The identified combination of four dmCpGs demonstrates promising diagnostic accuracy.
- Further validation in larger, independent populations is necessary to confirm these findings.
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