title: A proteomics approach to the identification of plasma biomarkers for latent tuberculosis infection.
abstract: A proteomic analysis was performed to screen the potential latent tuberculosis infection (LTBI) biomarkers. A training set of spectra was used to generate diagnostic models, and a blind testing set was used to determine the accuracy of the models. Candidate peptides were identified using nano-liquid chromatography-electrospray ionization-tandem mass spectrometry. Based on the training set results, 3 diagnostic models recognized LTBI subjects with good cross-validation accuracy. In the blind testing set, LTBI subjects could be identified with sensitivities and specificities of 85.20% to 88.90% and 85.7% to 100%, respectively. Additionally, 14 potential LTBI biomarkers were identified, and all proteins were identified for the first time through proteomics in the plasma of healthy, latently infected individuals. In all, proteomic pattern analyses can increase the accuracy of LTBI diagnosis, and the data presented here provide novel insights into potential mechanisms involved in LTBI.
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Xia
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Liu
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Qi
authors.initials: Q
authors.lastname: Li
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Hongyan
authors.initials: H
authors.lastname: Jia
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Liping
authors.initials: L
authors.lastname: Pan
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
authors.forename: Aiying
authors.initials: A
authors.lastname: Xing
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China. Electronic address: shaofaxu8950@126.com.
authors.forename: Shaofa
authors.initials: S
authors.lastname: Xu
authors.affiliation: Department of Beijing Key Laboratory of Drug Resistance Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China. Electronic address: zhang2001512@126.com.
authors.forename: Zongde
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D055985:Latent Tuberculosis / Q000097:blood* / Q000175:diagnosis; D008297:Male; D008875:Middle Aged; D010455:Peptides / Q000097:blood; D040901:Proteomics / Q000379:methods; D015203:Reproducibility of Results; D012307:Risk Factors; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D014374:Tuberculin Test; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001798:Blood Proteins; D010455:Peptides
keywords: Latent tuberculosis infection; MALDI-TOF-MS; Plasma; Proteomics