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For: Yang Q, Chen Q, Zhang M, Cai Y, Yang F, Zhang J, Deng G, Ye T, Deng Q, Li G, Zhang H, Yi Y, Huang RP, Chen X. Identification of eight-protein biosignature for diagnosis of tuberculosis. Thorax 2020;75:576-83. [PMID: 32201389 DOI: 10.1136/thoraxjnl-2018-213021] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Whittaker K, Mao YQ, Lin Y, Zhang H, Zhu S, Peck H, Huang RP. Dried blood sample analysis by antibody array across the total testing process. Sci Rep 2021;11:20549. [PMID: 34654894 DOI: 10.1038/s41598-021-99911-8] [Reference Citation Analysis]
2 Goussard P, Walzl G. Biosignatures: The answer to Tuberculosis diagnosis in children? EBioMedicine 2020;60:102977. [PMID: 32977161 DOI: 10.1016/j.ebiom.2020.102977] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Kaforou M. Screening for candidate biomarkers of TB in stimulated blood: another step in the quest for a test? Thorax 2020;75:534-5. [PMID: 32522761 DOI: 10.1136/thoraxjnl-2020-214775] [Reference Citation Analysis]
4 Luo Y, Xue Y, Mao L, Lin Q, Tang G, Song H, Liu W, Tong S, Hou H, Huang M, Ouyang R, Wang F, Sun Z. Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection. Front Immunol 2021;12:721013. [PMID: 34512645 DOI: 10.3389/fimmu.2021.721013] [Reference Citation Analysis]
5 Kontsevaya I, Lange C, Comella-Del-Barrio P, Coarfa C, DiNardo AR, Gillespie SH, Hauptmann M, Leschczyk C, Mandalakas AM, Martinecz A, Merker M, Niemann S, Reimann M, Rzhepishevska O, Schaible UE, Scheu KM, Schurr E, Abel Zur Wiesch P, Heyckendorf J. Perspectives for systems biology in the management of tuberculosis. Eur Respir Rev 2021;30:200377. [PMID: 34039674 DOI: 10.1183/16000617.0377-2020] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Jakhar S, Bitzer AA, Stromberg LR, Mukundan H. Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development. Int J Mol Sci 2020;21:E6979. [PMID: 32977381 DOI: 10.3390/ijms21196979] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Wykowski JH, Phillips C, Ngo T, Drain PK. A systematic review of potential screening biomarkers for active TB disease. J Clin Tuberc Other Mycobact Dis 2021;25:100284. [PMID: 34805557 DOI: 10.1016/j.jctube.2021.100284] [Reference Citation Analysis]
8 Luo Y, Xue Y, Tang G, Cai Y, Yuan X, Lin Q, Song H, Liu W, Mao L, Zhou Y, Chen Z, Zhu Y, Liu W, Wu S, Wang F, Sun Z. Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Front Immunol 2021;12:658843. [PMID: 34276653 DOI: 10.3389/fimmu.2021.658843] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Sivakumaran D, Ritz C, Gjøen JE, Vaz M, Selvam S, Ottenhoff THM, Doherty TM, Jenum S, Grewal HMS. Host Blood RNA Transcript and Protein Signatures for Sputum-Independent Diagnostics of Tuberculosis in Adults. Front Immunol 2020;11:626049. [PMID: 33613569 DOI: 10.3389/fimmu.2020.626049] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Meng Z, Wang M, Guo S, Zhou Y, Lyu M, Hu X, Bai H, Wu Q, Tao C, Ying B. Novel Long Non-coding RNA and LASSO Prediction Model to Better Identify Pulmonary Tuberculosis: A Case-Control Study in China. Front Mol Biosci 2021;8:632185. [PMID: 34113649 DOI: 10.3389/fmolb.2021.632185] [Reference Citation Analysis]
11 Lyu M, Cheng Y, Zhou J, Chong W, Wang Y, Xu W, Ying B. Systematic evaluation, verification and comparison of tuberculosis-related non-coding RNA diagnostic panels. J Cell Mol Med 2021;25:184-202. [PMID: 33314695 DOI: 10.1111/jcmm.15903] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
12 Luo Y, Xue Y, Lin Q, Tang G, Yuan X, Mao L, Song H, Wang F, Sun Z. A combination of iron metabolism indexes and tuberculosis-specific antigen/phytohemagglutinin ratio for distinguishing active tuberculosis from latent tuberculosis infection. Int J Infect Dis 2020;97:190-6. [PMID: 32497795 DOI: 10.1016/j.ijid.2020.05.109] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
13 Qiu Q, Peng A, Zhao Y, Liu D, Liu C, Qiu S, Xu J, Cheng H, Xiong W, Chen Y. Diagnosis of pulmonary tuberculosis via identification of core genes and pathways utilizing blood transcriptional signatures: a multicohort analysis. Respir Res 2022;23:125. [PMID: 35568895 DOI: 10.1186/s12931-022-02035-4] [Reference Citation Analysis]
14 Ren AH, Diamandis EP, Kulasingam V. Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification. Mol Cell Proteomics 2021;20:100155. [PMID: 34597790 DOI: 10.1016/j.mcpro.2021.100155] [Reference Citation Analysis]
15 Luo Y, Xue Y, Yuan X, Lin Q, Tang G, Mao L, Song H, Wang F, Sun Z. Combination of prealbumin and tuberculosis-specific antigen/phytohemagglutinin ratio for discriminating active tuberculosis from latent tuberculosis infection. Int J Clin Pract 2021;75:e13831. [PMID: 33175465 DOI: 10.1111/ijcp.13831] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]