We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Biomarker Panel Differentiates Active and Latent Tuberculosis Infections

By LabMedica International staff writers
Posted on 12 Apr 2015
Image: Photomicrograph of Mycobacterium tuberculosis bacteria magnified 1,000 times and colored with acid-fast Ziehl-Neelsen stain Photo courtesy of Emory University).
Image: Photomicrograph of Mycobacterium tuberculosis bacteria magnified 1,000 times and colored with acid-fast Ziehl-Neelsen stain Photo courtesy of Emory University).
A set of biomarkers detectable in the blood accurately identifies individuals with active tuberculosis (ATB) and differentiates them from patients with latent Mycobacterium tuberculosis infection (LTBI) and from recovered TB patients.

The identification and treatment of individuals with tuberculosis (TB) is a global public health priority. Accurate diagnosis of ATB remains challenging and relies on extensive medical evaluation and detection of M. tuberculosis (Mtb) in the patient’s sputum. Furthermore, the response to treatment is monitored by sputum culture conversion, which takes several weeks for results.

In an effort to modernize detection of patients with ATB, investigators at Emory University (Atlanta, Georgia, USA) used polychromatic flow cytometry to evaluate the expression of immune activation markers on Mtb-specific CD4+ T-cells from individuals with asymptomatic latent Mtb infection (LTBI) and ATB as well as from ATB patients undergoing anti-TB treatment.

For this study the investigators enrolled individuals from the Atlanta, GA, USA area with asymptomatic LTBI, with untreated ATB, and patients undergoing treatment for ATB. In addition, the biomarkers identified were applied for evaluation of individuals with ATB and LTBI recruited from the Western Cape in South Africa.

Results revealed that frequencies of Mtb-specific IFN (interferon)-gamma+CD4+ T-cells that expressed immune activation markers CD38 and HLA-DR as well as intracellular proliferation marker Ki-67 were substantially higher in subjects with ATB compared with those with LTBI. These markers accurately classified ATB and LTBI status, with cutoff values of 18%, 60%, and 5% for CD38+IFN-gamma+, HLA-DR+IFN-gamma+, and Ki-67+IFN-gamma+, respectively, with 100% specificity and greater than 96% sensitivity. These markers also distinguished individuals with untreated ATB from those who had successfully completed anti-TB treatment and correlated with decreasing mycobacterial loads during treatment.

"In this study, we have identified T-cell biomarkers that accurately identify ATB patients. These biomarkers have the potential to lead to new blood-based diagnostics for TB as well as provide a set of tools for monitoring treatment response and cure," said senior author Dr. Jyothi Rengarajan, assistant professor of medicine at Emory University. "Blood-based biomarkers will be particularly useful in situations where sputum-based diagnosis of TB is more difficult. Because these biomarkers provide a gauge of Mtb load within individuals, they could also have utility as surrogate markers of treatment response and as predictors of treatment efficacy, cure, and relapse in patients undergoing treatment for drug-susceptible as well as drug-resistant TB.

The study was published in the March 30, 2015, online edition of the Journal of Clinical Investigation.

Related Links:
Emory University


Gold Member
Hematology Analyzer
Medonic M32B
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Rapid Molecular Testing Device
FlashDetect Flash10
Gold Member
Hybrid Pipette
SWITCH

Channels

Molecular Diagnostics

view channel
Image: The diagnostic device can tell how deadly brain tumors respond to treatment from a simple blood test (Photo courtesy of UQ)

Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test

Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more

Immunology

view channel
Image: Circulating tumor cells isolated from blood samples could help guide immunotherapy decisions (Photo courtesy of Shutterstock)

Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug

Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more

Technology

view channel
Image: Vitestro has shared a detailed visual explanation of its Autonomous Robotic Phlebotomy Device (photo courtesy of Vitestro)

Robotic Technology Unveiled for Automated Diagnostic Blood Draws

Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more

Industry

view channel
Image: Roche’s cobas® Mass Spec solution enables fully automated mass spectrometry in routine clinical laboratories (Photo courtesy of Roche)

New Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing

Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more