ArticleCommunications medicine2022
A diagnostic classifier for gene expression-based identification of early Lyme disease.
Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Multiplexed single-tier immunoassay for improved Lyme disease diagnosis across all disease stages.Research square · 2026Article
- Identification of potential biomarkers for Lyme disease using bioinformatics and machine learning.Clinical and experimental medicine · 2025Article
- Identification of hub gene and immune infiltration in Lyme disease revealed by weighted gene co-expression network analysis and machine learning.European journal of medical research · 2025Article
- Article
- Proposed research classification criteria for Lyme disease in infection associated chronic illness studies.Frontiers in medicine · 2025Article
- Harnessing the host response for precision infectious disease diagnosis.Clinical microbiology reviews · 2024Review
- Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections.Nature medicine · 2024Article
- Plasma cell-free RNA signatures of inflammatory syndromes in children.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Changes in the Transcriptome and Long Non-Coding RNAs but Not the Methylome Occur in Human Cells Exposed toGenes · 2024Article
- Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review.Microorganisms · 2023Review
- Cholesterol Contributes to Risk, Severity, and Machine Learning-Driven Diagnosis of Lyme Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Lyme borreliosis diagnosis: state of the art of improvements and innovations.BMC microbiology · 2023Review
- A diagnostic classifier for gene expression-based identification of early Lyme disease.Communications medicine · 2022Article
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Authors and funding
14 authors.
Funding
Abstract
Background: Lyme disease is a tick-borne illness that causes an estimated 476,000 infections annually in the United States. New diagnostic tests are urgently needed, as existing antibody-based assays lack sufficient sensitivity and specificity. Methods: Here we perform transcriptome profiling by RNA sequencing (RNA-Seq), targeted RNA-Seq, and/or machine learning-based classification of 263 peripheral blood mononuclear cell samples from 218 subjects, including 94 early Lyme disease patients, 48 uninfected control subjects, and 57 patients with other infections (influenza, bacteremia, or tuberculosis). Differentially expressed genes among the 25,278 in the reference database are selected based on ≥1.5-fold change, ≤0.05 Results: 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 Conclusions: These results highlight the potential clinical utility of a gene expression classifier for diagnosis of early Lyme disease, including in patients negative by conventional serologic testing.
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