2015
DOI: 10.1093/cid/civ185
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Development of a Metabolic Biosignature for Detection of Early Lyme Disease

Abstract: The data provide proof-of-concept that metabolic profiling for early Lyme disease can achieve significantly greater (P < .0001) diagnostic sensitivity than current 2-tier serology, while retaining high specificity.

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Cited by 70 publications
(99 citation statements)
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“…Although novel approaches for the diagnosis of Lyme disease are currently being developed that include serology-based and non-serology-based assays (12)(13)(14)(15), for now, serologic testing, and specifically an STTT algorithm using an EIA (or IFA), followed by immunoblotting, remains the CDC-recommended diagnostic testing method for patients with Lyme disease (2). The findings presented here demonstrate the strengths and weaknesses of STTT using well-characterized serum samples and controls and also support previous findings that a 2-EIA-based MTTT algo-rithm for serologic diagnostic testing for Lyme disease may be a beneficial addition to the currently recommended laboratory diagnostic algorithm for Lyme disease.…”
Section: Discussionmentioning
confidence: 99%
“…Although novel approaches for the diagnosis of Lyme disease are currently being developed that include serology-based and non-serology-based assays (12)(13)(14)(15), for now, serologic testing, and specifically an STTT algorithm using an EIA (or IFA), followed by immunoblotting, remains the CDC-recommended diagnostic testing method for patients with Lyme disease (2). The findings presented here demonstrate the strengths and weaknesses of STTT using well-characterized serum samples and controls and also support previous findings that a 2-EIA-based MTTT algo-rithm for serologic diagnostic testing for Lyme disease may be a beneficial addition to the currently recommended laboratory diagnostic algorithm for Lyme disease.…”
Section: Discussionmentioning
confidence: 99%
“…From the perspective of the use of disease-related biomarkers, approaches involving metabolomic and immunologic profiles have shown promise (22)(23)(24). In particular, a liquid chromatography-mass spectrometry-based analysis of metabolites was shown to correctly classify early-phase Lyme disease patients and healthy controls with a sensitivity of 88%.…”
Section: Discussionmentioning
confidence: 99%
“…In particular, a liquid chromatography-mass spectrometry-based analysis of metabolites was shown to correctly classify early-phase Lyme disease patients and healthy controls with a sensitivity of 88%. Given that the test is not specific to B. burgdorferi, a remarkable specificity of 95% was achieved in tests against "look-alike diseases" such as fibromyalgia and rheumatoid arthritis (22). However, patients with late-stage disease were not tested and the potential for the levels of biomarkers included in the profile to wane over time is a concern.…”
Section: Discussionmentioning
confidence: 99%
“…Using liquid chromatography mass spectrometry and statistical modeling, Molins et al defined a metabolic profile of 44 biosignatures, primarily lipid and lipophilic molecules, present in patients with early LD and compared the performance of this panel with that of the traditional and 2-ELISA TTTAs. The metabolomics assay outperformed both TTTAs with respect to sensitivity (88% versus 43% to 48%, respectively; P Ͻ 0.0001) and showed statistically equivalent specificities among healthy controls and individuals with a non-LD condition (29). Although certain challenges with the methodology exist, on the basis of the preliminary data, metabolomic profiling appears to hold promise as a future tool for the diagnosis of LD.…”
Section: Novel Approaches For Ld Detectionmentioning
confidence: 91%
“…Finally, as an alternative to classic antibody detection for LD, the CDC, along with multiple academic and clinical collaborators, recently evaluated the applicability of metabolomics, defined as the evaluation of low-molecular-weight (Ͻ1,500-Da) biomolecules, for the diagnosis of early LD (29). An individual's baseline metabolic profile can be altered by a variety of environmental stressors, and the detection of changes to this baseline may lay the foundation for the development of a novel diagnostic tool for infections, including LD.…”
Section: Novel Approaches For Ld Detectionmentioning
confidence: 99%