Host Blood RNA Signatures for Diagnosis of TB
RADIANT
Selected Concise Host Transcriptional Signatures for the Blood-based Diagnosis of Active Tuberculosis in an HIV-prevalent Setting (RNA-based Diagnosis of TB)
2 other identifiers
observational
1,458
1 country
1
Brief Summary
Tuberculosis (TB) is the biggest infectious cause of death worldwide, and the biggest cause of death in Sub-Saharan Africa among HIV-positive patients. There is need for a non-sputum-based rapid triage test that identifies individuals with presumptive TB requiring confirmatory diagnostic investigation. Such a test could reduce the burden on health systems, expedite referral and confirmatory testing, and treatment thereby reducing transmission. A non-sputum triage test is needed as many symptomatic patients including those with HIV, can often not produce high quality sputum (which most current diagnostics rely on). Several blood transcriptional diagnostic signatures produced due to immune responses to M. tuberculosis infection have previously been described, however there is lack of real-world performance data especially in high TB/HIV-endemic African settings where rates of HIV (that could compromise sensitivity) and previous TB (that could compromise specificity) are high. Furthermore, by building on prior research that used untargeted sequencing approaches to identify candidate signatures, the investigators are now at a stage to perform the targeted signature measurement at a large scale and cost-efficient manner as part of prospective diagnostic accuracy analyses in real-world settings. Using the framework provided by ongoing funded diagnostic clinical trials with similar eligibility criteria, in presumptive TB participants (≥18 years) who visit selected health facilities in Cape Town, South Africa, RADIANT has a unique opportunity to pursue several important research questions. RADIANT aims are to 1) evaluate the sensitivity and specificity of selected concise peripheral host transcriptional signatures for active TB among symptomatic persons in South Africa; 2) design a cost-optimised diagnostic algorithm based on transcriptional signatures, SeroSelectTB (an EDCTP funded pan-African evaluation of a point-of-care serological triage test for active TB) results, and confirmatory bacteriological testing, and 3) characterise bacteriologically-negative patients classified as non-TB to determine if those with elevated host transcriptional signatures have other respiratory pathogens (detected in nasopharyngeal swabs using a commercial multiplex panel) and/or develop active TB within six months (incident active TB).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 23, 2022
CompletedFirst Submitted
Initial submission to the registry
September 12, 2022
CompletedFirst Posted
Study publicly available on registry
September 15, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedDecember 16, 2024
December 1, 2024
2.9 years
September 12, 2022
December 10, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Validate concise host transcriptional signatures for active TB
Diagnostic performance of pre-described blood transcriptional signatures is measured using a cost-efficient RNA profiling method.
24 months
Secondary Outcomes (2)
Characterization of respiratory microorganisms
24 months
Detection of Incident active TB
3 months
Eligibility Criteria
Adults 18 years of age and older who self-report at the selected healthcare facilities in Cape Town, South Africa, seeking medical attention due to symptoms suggestive of tuberculosis within the parent SeroSelectTB study and consent to RADIANT.
You may qualify if:
- Adults aged 18 years and above
- Signed written informed consent or witnessed oral consent in case of illiteracy, before undertaking any study-related activities
- Are unwell and are suspected to have tuberculosis
You may not qualify if:
- Currently receiving TB treatment
- In the past 3 months, participants have been on TB treatment for 30 or more days
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Stellenbosch University
Cape Town, Western Cape, 7505, South Africa
Biospecimen
Venous blood will be collected for transcriptional profiling after ribonucleic acid (RNA) isolation. Nasopharyngeal swab samples will be collected for comprehensive characterization of respiratory pathogens. Sputum will be collected for microbiological testing for TB with Xpert MTB/RIF Ultra and/or MGIT960 liquid culture.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Anna Okunola, PhD
University of Stellenbosch
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 12, 2022
First Posted
September 15, 2022
Study Start
June 23, 2022
Primary Completion
May 31, 2025
Study Completion
December 1, 2025
Last Updated
December 16, 2024
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF
- Time Frame
- Data will be shared one year after study completion.
- Access Criteria
- Anyone who is interested in accessing the data can communicate with Dr Anna Okunola via email (annaojo@sun.ac.za) and they will be given access to anonymise data upon reasonable request, after the publication of the main study manuscript. The applicant will also need to sign a Data Transfer Agreement (DTA) with Stellenbosch University.
Individually identifiable data (demographic, clinical and laboratory) accumulated during the project will be stored on a password-protected electronic database, REDCap. Data will be anonymized, and patient names or addresses will not be stored in the database. Patients are assigned a study number which will be used for study documentation, and annual progress reports. Transcriptional profiling datasets generated during the current study will be stored in a publicly available repository such as the European Bioinformatics Institute and National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) data repositories, concurrent with the publication of manuscripts.