Novel Peptides for M. tuberculosis Antibody Detection
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Solution Overview
Problem
Current methods for detecting Mycobacterium tuberculosis infection in non-human primates are limited by low diagnostic sensitivity and specificity, leading to false negative results and increased vulnerability to outbreaks, particularly due to the reliance on semi-purified or recombinant antigens that fail to identify latent infections.
Innovation Solution
Development of an immunoassay device using novel peptides (SEQ ID NOs.1-149) as capture reagents to detect antibodies in biological samples, allowing for the differentiation between early, active, and latent infections, with the option of using multiple peptides in combination for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If semi-purified or recombinant antigens are used for TB detection, then the test can be performed, but the diagnostic sensitivity and specificity are low leading to false negative results
Solution Approach 1:
The patent uses a composite approach by combining multiple different M. tuberculosis antigens (including ESAT-6, CFP-10, and other recombinant proteins) into a multi-antigen assay platform. This composite antigen panel enables simultaneous detection of multiple antibody responses, significantly improving diagnostic sensitivity and specificity compared to single-antigen tests, and reducing false negative results in latent TB detection.
2Reliability
If the tuberculin skin test is performed, then TB infection can be detected, but the test is labor intensive and requires increased animal handling over three days
Solution Approach 1:
The patent replaces the mechanical/manual process of the tuberculin skin test (which requires intradermal injection, visual inspection, and measurement over three days) with an automated immunoassay system. The new method uses blood or serum samples that can be processed through automated ELISA or similar platforms, eliminating the need for repeated animal handling and subjective visual assessment, while providing objective quantitative results.
3Measurement precision
If multiple antigens are used in combination, then detection accuracy improves, but the device complexity increases
Solution Approach 1:
The patent employs a universal assay platform (such as ELISA or chemiluminescent immunoassay) that can detect multiple different M. tuberculosis antigens simultaneously using a single test system. The platform uses standardized protocols, common reagents, and unified readout methods, allowing multi-antigen detection without proportionally increasing operational complexity. This universal approach maintains ease of use while achieving high detection accuracy through multiple antigen targets.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides a highly specific and sensitive method for monitoring and diagnosing M. tuberculosis infections, with reported specificity and sensitivity rates exceeding 80%, effectively reducing the risk of false negatives and improving colony health management.
Implementation Method 1
detection of antibodies contained in the blood of non-human primates that arise from an infection from M. tuberculosis or vaccination
Data Source
AI summary
The present invention relates to novel peptides that may be used in whole or in combination for the detection of Mycobacterium tuberculosis infection. In particular, the present invention relates to compositions and methods involving detection of antibodies contained in the blood of non-human primates that arise from an infection from M. tuberculosis or vaccination using an epitope specific inoculation. More particularly, the present invention provides a means to distinguish early, active, and latent M. tuberculosis infection. More particularly, the present invention describes an immunological diagnostic mechanism for the detection of M. tuberculosis infection.