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CrossRef Text and Data Mining |
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Host Blood Transcriptional Signatures as Candidate Biomarkers for Predicting Progression to Active Tuberculosis |
Chang Ho Kim, Gahye Choi, Jaehee Lee |
Tuberc Respir Dis. 2023;86(2):94-101. Published online March 13, 2023 DOI: https://doi.org/10.4046/trd.2022.0152 |
Host Blood Transcriptional Signatures as Candidate Biomarkers for Predicting Progression to Active Tuberculosis QuantiFERON Supernatant-Based Host Biomarkers Predicting Progression to Active Tuberculosis Disease Among Household Contacts of Tuberculosis Patients Predicting active tuberculosis progression by RNA analysis Assessment of ferroptosis-associated gene signatures as potential biomarkers for differentiating latent from active tuberculosis in children Blood transcriptional signatures for tuberculosis diagnosis: a glass half-empty perspective – Authors' reply 1539. A Nine-Gene Blood-Based Signature Meets the World Health Organization Target Product Profiles for Diagnosis of Active Tuberculosis and Predicting Progression from Latent to Active Disease Blood transcriptional signatures for tuberculosis diagnosis: a glass half-empty perspective Metformin: Candidate host-directed therapy for tuberculosis in diabetes and non-diabetes patients Predicting progression to active tuberculosis: A rate-limiting step on the path to elimination Identification of network-based differential gene expression signatures and their transcriptional factors to develop progressive blood biomarkers for Alzheimer’s disease |