A diagnostic classifier for gene expression-based identification of early Lyme disease

Author:

Servellita, V, Bouquet, J, Rebman, AW, Yang, T, Miller, S, Stone, M, Lanteri, M, Busch, MP, Tang, P, Morshed, M, Soloski, MJ, Aucott, JN, and Chiu, CY

Publication type:

Journal Article

Publication date:

2022-07

Journal/Series title:

Communications Medicine

Volume:

URL:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306241/

Abstract:

We identify a 31-gene Lyme disease classifier (LDC) panel that can discriminate between early Lyme patients and controls, with 23 genes (74.2%) that have previously been described in association with clinical investigations of Lyme disease patients or in vitro cell culture and rodent studies of Borrelia burgdorferi infection. Evaluation of the LDC using an independent test set of samples from 63 subjects yields an overall sensitivity of 90.0%, specificity of 100%, and accuracy of 95.2%. The LDC test is positive in 85.7% of seronegative patients and found to persist for ≥3 weeks in 9 of 12 (75%) patients.