Biomarkers Can Identify Pulmonary Tuberculosis in HIV-infected Drug Users Months Prior to Clinical Diagnosis

Autor: Mariëlle C. Haks, Martien W. Borgdorff, Tom H. M. Ottenhoff, Simone A. Joosten, Rosa Sloot, Erik W. van Zwet, Maarten F. Schim van der Loeff, Maarten Scholing, Sytze T. Keizer
Přispěvatelé: Epidemiology and Data Science, Infectious diseases, AII - Amsterdam institute for Infection and Immunity, APH - Amsterdam Public Health
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Male
Oncology
dcRT-MLPA
lcsh:Medicine
HIV Infections
Bioinformatics
Pathogenesis
0302 clinical medicine
Hiv infected
Medicine
030212 general & internal medicine
media_common
lcsh:R5-920
0303 health sciences
education.field_of_study
Interleukin-13
General Medicine
Middle Aged
3. Good health
Interferon Type I
Host biomarkers
Female
Original Article
lcsh:Medicine (General)
Adult
Drug
medicine.medical_specialty
Tuberculosis
Substance-Related Disorders
media_common.quotation_subject
Population
General Biochemistry
Genetics and Molecular Biology

03 medical and health sciences
Pulmonary tuberculosis
Internal medicine
Humans
education
Tuberculosis
Pulmonary

Retrospective Studies
030304 developmental biology
business.industry
lcsh:R
HIV
Retrospective cohort study
medicine.disease
Clinical diagnosis
Gene expression
business
Biomarkers
Transcription Factors
Zdroj: EBioMedicine, 2(2), 172-179. Elsevier BV
EBioMedicine
EBioMedicine, Vol 2, Iss 2, Pp 172-179 (2015)
ISSN: 2352-3964
Popis: Background Current diagnostic tests cannot identify which infected individuals are at risk for progression to tuberculosis (TB). Our aim was to identify biomarkers which can predict the development of TB prior to clinical diagnosis. Method In a retrospective case–control study, RNA of 14 HIV-infected drug users obtained before TB diagnosis (cases) and of 15 who did not develop TB (controls) was analyzed for the expression of 141 genes by dcRT-MLPA followed by Lasso regression analysis. Findings A combined analysis of IL13 and AIRE had the highest discriminatory power to identify cases up to 8 months prior to clinical diagnosis. Cases expressing IL13 had a gene expression pattern strongly enriched for type I IFN related signaling genes, suggesting that these genes represent processes that contribute to TB pathogenesis. Interpretation We here demonstrated that biomarkers, such as IL13-AIRE, can identify individuals that progress to TB within a high risk population, months prior to clinical diagnosis.
Highlights • A predictive signature was detected in ex vivo PBMCs of HIV-infected drug users up to 8 months prior to clinical TB diagnosis; • Combined expression of IL13 and AIRE had the highest discriminatory power to identify cases months prior to TB diagnosis. • Cases expressing IL13 had a gene expression pattern that was strongly enriched for type I IFN related signalling genes.
Databáze: OpenAIRE