ArticleMolecular therapy. Nucleic acids2022
Deciphering a TB-related DNA methylation biomarker and constructing a TB diagnostic classifier.
Article in Molecular therapy. Nucleic acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A DNA Methylation Signature From Buccal Swabs to Identify Tuberculosis Infection.The Journal of infectious diseases · 2025Article
- A DNA methylation signature identified in the buccal mucosa reflecting active tuberculosis is changing during tuberculosis treatment.Scientific reports · 2024Article
- Exploring TSPAN4 promoter methylation as a diagnostic biomarker for tuberculosis.Frontiers in genetics · 2024Article
- Association of IFN-γ +874 A/T SNP and hypermethylation of the -53 CpG site with tuberculosis susceptibility.Frontiers in cellular and infection microbiology · 2023Article
- The spectrum of tuberculosis described as differential DNA methylation patterns in alveolar macrophages and alveolar T cells.Clinical epigenetics · 2022Article
- Review
- An updated HACOR score for predicting the failure of noninvasive ventilation: a multicenter prospective observational study.Critical care (London, England) · 2022Observational
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Authors and funding
8 authors.
Funding
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Abstract
We systemically identified tuberculosis (TB)-related DNA methylation biomarkers and further constructed classifiers for TB diagnosis. TB-related DNA methylation datasets were searched through October 3, 2020. Limma and DMRcate were employed to identify differentially methylated probes (DMPs) and regions (DMRs). Machine learning methods were used to construct classifiers. The performance of the classifiers was evaluated in discovery datasets and a prospective independent cohort. Eighty-nine DMPs and 24 DMRs were identified based on 67 TB patients and 45 healthy controls from 4 datasets. Nine and three DMRs were selected by elastic net regression and logistic regression, respectively. Among the selected DMRs, two regions (chr3: 195635643-195636243 and chr6: 29691631-29692475) were differentially methylated in the independent cohort (p = 4.19 × 10
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