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.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Vicotex

Download Mobile App




New Methods Developed to Diagnose TB and HIV

By LabMedica International staff writers
Posted on 15 Nov 2017
The bacteria responsible for tuberculosis (TB) can lurk in a person's lung tissue for decades before producing active, infectious TB disease and it is estimated that a third of the global population may have such dormant infections, with 5% to 10% progressing to active disease. More...
Detecting TB is notoriously challenging.

While tuberculosis can be cured, this requires that patients adhere to a strict drug regimen for months, despite common side effects, and multi-drug resistant TB bacteria are becoming more common. Current diagnostic methods can take a long time and poorly detect TB in certain types of patients, including children and patients with HIV infections, making it difficult to determine who needs to be treated and when they have been cured of disease.

Scientists at Arizona State University (Tempe, AZ, USA) applied nanotechnology-based approaches to detect TB proteins in patient blood samples to improve disease detection. Unlike existing methods that attempt to identify bacteria or bacterial DNA in sputum or tissue samples, their two methods measure TB-derived factors released into the blood only during active TB infections and provide a measure of the number of active TB bacteria in the patient.

The team examined HIV-positive adults enrolled in the Houston Tuberculosis Initiative, a large TB screening and surveillance study which ran from October 1995 to September 2004.The investigators performed their analysis using the PRM Mode on a nano-LC UltiMate 3000 high performance liquid chromatography (HPLC) system coupled with an LTQ Velos Pro mass spectrometry system. By measuring the TB protein 10 kDa culture filtrate antigen (CFP-10) in the blood of HIV-infected subjects, the group detected 85% percent of all TB cases and 67% of culture-negative TB cases, much better than the best available molecular test, which is reported to detect only 9% of culture-negative TB cases in HIV-infected patients.

The authors concluded that their study indicated that serum CFP-10 measurement can greatly improve TB diagnosis rates in HIV/TB-co-infected patients, who are diagnosed with reduced efficiency by current TB diagnostics. Improved TB diagnosis is a major unmet need for HIV-infected patients, as undiagnosed and untreated TB is a major cause of excess morbidity and mortality. The study was published on November 1, 2017, in the journal BMC Medicine.

Related Links:
Arizona State University


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Automatic Hematology Analyzer
CF9600
Automated Urinalysis Solution
UN-9000
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: Tracking blood test trends alongside unexplained weight loss may help identify patients at increased cancer risk and support earlier investigation (Image Credit: 123RF)

Blood Test Patterns Improve Cancer Risk Assessment in Primary Care

Unexplained weight loss is a common but nonspecific presentation in primary care that can precede several types of cancer, making referral decisions difficult. Routine blood tests may produce borderline... Read more

Molecular Diagnostics

view channel
Image: The Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Pathology

view channel
Image: The model combines digitized tumor histopathology, clinical variables, and a 42-gene molecular panel using AI to generate a unified recurrence risk prediction (Image Credit: Shutterstock)

Multimodal AI Improves Breast Cancer Recurrence Risk Prediction Beyond Standard Genomic Testing

Predicting which patients with early-stage breast cancer will develop distant recurrence remains difficult, complicating decisions about long-term therapy and surveillance. Widely used genomic assays are... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.