ReviewInfectious diseases and therapy2017
The Potential of Omics Technologies in Lyme Disease Biomarker Discovery and Early Detection.
Review in Infectious diseases and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Metabolites of prostaglandin synthases as potential biomarkers of Lyme disease severity and symptom resolution.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2019Pooled it
- From forest floor to doctor's office: the immunological journey ofFrontiers in immunology · 2026Review
- Insights From Omics in Lyme Disease.The Journal of infectious diseases · 2024Review
- Lyme borreliosis diagnosis: state of the art of improvements and innovations.BMC microbiology · 2023Review
- Microneedle-based devices for point-of-care infectious disease diagnostics.Acta pharmaceutica Sinica. B · 2021Review
- Optimizing use of multi-antibody assays for Lyme disease diagnosis: A bioinformatic approach.PloS one · 2021Article
- Hypercytokinemia and Pathogen-Host Interaction in COVID-19.Journal of inflammation research · 2020Article
- Recent strategies for the diagnosis of early Lyme disease.Science progress · 2018Review
- A multi-omic analysis reveals the regulatory role of CD180 during the response of macrophages to Borrelia burgdorferi.Emerging microbes & infections · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lyme borreliosis (LB) is the most prevalent arthropod-borne infectious disease in North America and many countries of the temperate Northern Hemisphere. It is associated with local and systemic manifestations and has persistent post-treatment health complications in some individuals. Innate and acquired immunity-related inflammation is likely to play a critical role in both host defense against Borrelia burgdorferi and disease severity. Large-scale analytical approaches to quantify gene expression (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in LB have recently emerged with a potential to advance the development of disease biomarkers in early, disseminated and posttreatment disease stages. These technologies may permit defining the disease stage and facilitate its early detection to improve diagnosis. They will also likely allow elucidating the underlying molecular pathways to aid in identifying molecular targets for therapy. This article reviews the findings within the field of omics relevant to LB and its prospective utility in developing an array of biomarkers that can be employed in LB diagnosis and detection particularly at the early disease stages.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.