Identification of potential biomarkers in active Lyme borreliosisShow others and affiliations
2023 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 18, no 6, article id e0287586Article in journal (Refereed) Published
Abstract [en]
ObjectivesLyme serology does not readily discriminate an active Lyme borreliosis (LB) from a previous Borrelia infection or exposure. Here, we aimed to investigate a large number of immunological protein biomarkers to search for an immunological pattern typical for active LB, in contrast to patterns found in healthy blood donors, a proportion of whom were previously exposed to Borrelia. MethodsSerum samples from well-characterised adult patients with ongoing LB and healthy blood donors were included and investigated using a proximity extension assay (provided by Olink & REG;) by which 92 different immune response-related human protein biomarkers were analysed simultaneously. ResultsIn total, 52 LB patients and 75 healthy blood donors were included. The blood donors represented both previously Borrelia exposed (n = 34) and not exposed (n = 41) based on anti-Borrelia antibody status. Ten of the examined 92 proteins differed between patients and blood donors and were chosen for further logistic regression (p<0.1). Six proteins were statistically significantly different between LB patients and blood donors (p<0.05). These six proteins were then combined in an index and analysed using receiver-operating-characteristic curve analysis showing an area under the curve of 0.964 (p<0.001). ConclusionsThe results from this study suggest that there is an immunological protein pattern that can distinguish a present Borrelia infection from a previous exposure as well as anti-Borrelia antibody negative blood donors. Although this method is not adapted for routine clinical use at this point, the possibility is interesting and may open new diagnostic opportunities improving the laboratory diagnostics of LB.
Place, publisher, year, edition, pages
PUBLIC LIBRARY SCIENCE , 2023. Vol. 18, no 6, article id e0287586
National Category
Clinical Laboratory Medicine
Identifiers
URN: urn:nbn:se:liu:diva-196774DOI: 10.1371/journal.pone.0287586ISI: 001019233900008PubMedID: 37363901OAI: oai:DiVA.org:liu-196774DiVA, id: diva2:1790578
Note
Funding Agencies|Futurum-Academy for Healthcare; Division of Medical Diagnostics; Medical Research Council of Southeast Sweden [2015-29000167]; Region Jonkoping County; foundation for medical research of the Aland cultural foundation; Interreg IVA Program ScandTick; Wilhelm and Else Stockmann Foundation; Interreg V program ScandTick Innovation; [FORSS-475511]; [167226]; [20200422]
2023-08-232023-08-232024-05-02