A diagnostic classifier for gene expression-based identification of early Lyme disease
| Title | A diagnostic classifier for gene expression-based identification of early Lyme disease |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | Commun Med (Lond) |
| Volume | 2 |
| Start Page | 92 |
| Date Published | 07/2022 |
| Authors | Servellita V, Bouquet J, Rebman AW, Yang T, Samayoa E, Miller S, Stone M, Lanteri M, Busch MP, Tang P, Morshed MG, Soloski MJ, Aucott JN, Chiu CY |
| Keywords | Bacterial host response, Bacterial infection, Diagnostic markers, RNA sequencing, Targeted resequencing |
| 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. |
| URL | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306241/ |
