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Guérin M, Shawky M, Zedan A, Octave S, Avalle B, Maffucci I, Padiolleau-Lefèvre S. Lyme borreliosis diagnosis: state of the art of improvements and innovations. BMC Microbiol 2023; 23:204. [PMID: 37528399 PMCID: PMC10392007 DOI: 10.1186/s12866-023-02935-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/04/2023] [Indexed: 08/03/2023] Open
Abstract
With almost 700 000 estimated cases each year in the United States and Europe, Lyme borreliosis (LB), also called Lyme disease, is the most common tick-borne illness in the world. Transmitted by ticks of the genus Ixodes and caused by bacteria Borrelia burgdorferi sensu lato, LB occurs with various symptoms, such as erythema migrans, which is characteristic, whereas others involve blurred clinical features such as fatigue, headaches, arthralgia, and myalgia. The diagnosis of Lyme borreliosis, based on a standard two-tiered serology, is the subject of many debates and controversies, since it relies on an indirect approach which suffers from a low sensitivity depending on the stage of the disease. Above all, early detection of the disease raises some issues. Inappropriate diagnosis of Lyme borreliosis leads to therapeutic wandering, inducing potential chronic infection with a strong antibody response that fails to clear the infection. Early and proper detection of Lyme disease is essential to propose an adequate treatment to patients and avoid the persistence of the pathogen. This review presents the available tests, with an emphasis on the improvements of the current diagnosis, the innovative methods and ideas which, ultimately, will allow more precise detection of LB.
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Affiliation(s)
- Mickaël Guérin
- Unité de Génie Enzymatique Et Cellulaire (GEC), CNRS UMR 7025, Université de Technologie de Compiègne, 60203, Compiègne, France
| | - Marc Shawky
- Connaissance Organisation Et Systèmes TECHniques (COSTECH), EA 2223, Université de Technologie de Compiègne, 60203, Compiègne, France
| | - Ahed Zedan
- Polyclinique Saint Côme, 7 Rue Jean Jacques Bernard, 60204, Compiègne, France
| | - Stéphane Octave
- Unité de Génie Enzymatique Et Cellulaire (GEC), CNRS UMR 7025, Université de Technologie de Compiègne, 60203, Compiègne, France
| | - Bérangère Avalle
- Unité de Génie Enzymatique Et Cellulaire (GEC), CNRS UMR 7025, Université de Technologie de Compiègne, 60203, Compiègne, France
| | - Irene Maffucci
- Unité de Génie Enzymatique Et Cellulaire (GEC), CNRS UMR 7025, Université de Technologie de Compiègne, 60203, Compiègne, France
| | - Séverine Padiolleau-Lefèvre
- Unité de Génie Enzymatique Et Cellulaire (GEC), CNRS UMR 7025, Université de Technologie de Compiègne, 60203, Compiègne, France.
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Clinical Evaluation of a Borrelia Modified Two-Tiered Testing (MTTT) Shows Increased Early Sensitivity for Borrelia burgdorferi But Not Other Endemic Borrelia Species in A High Incidence Region for Lyme Disease in Wisconsin. Diagn Microbiol Infect Dis 2022; 105:115837. [DOI: 10.1016/j.diagmicrobio.2022.115837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/27/2022] [Accepted: 10/12/2022] [Indexed: 11/24/2022]
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3
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Miraglia CM. An Update to a Review of Guidelines for the Clinical Laboratory Diagnosis of Lyme Disease. J Chiropr Med 2020; 19:201-202. [PMID: 33362444 DOI: 10.1016/j.jcm.2020.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 09/16/2020] [Indexed: 11/26/2022] Open
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Elias SP, Maasch KA, Anderson NT, Rand PW, Lacombe EH, Robich RM, Lubelczyk CB, Smith RP. Decoupling of Blacklegged Tick Abundance and Lyme Disease Incidence in Southern Maine, USA. JOURNAL OF MEDICAL ENTOMOLOGY 2020; 57:755-765. [PMID: 31808817 DOI: 10.1093/jme/tjz218] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Indexed: 06/10/2023]
Abstract
Lyme disease is caused by the bacterial spirochete Borrelia burgdorferi Johnson, Schmid, Hyde, Steigerwalt, and Brenner (Spirocheatales: Spirochaetaceae) which is transmitted through the bite of an infected blacklegged tick Ixodes scapularis Say (Ixodida: Ixodidae). Maine, USA, is a high Lyme disease incidence state, with rising incidence of Lyme disease and other tick-borne illnesses associated with increasing I. scapularis abundance and northward range expansion. Members of the public submitted ticks to a tick identification program (1990-2013). From these passive surveillance data, we characterized temporal trends in I. scapularis submission rate (an index of abundance), comparing Maine's northern tier (seven counties) versus southern tier (nine counties). In the northern tier, the I. scapularis submission rate increased throughout the duration of the time series, suggesting I. scapularis was emergent but not established. By contrast, in the southern tier, submission rate increased initially but leveled off after 10-14 yr, suggesting I. scapularis was established by the mid-2000s. Active (field) surveillance data from a site in the southern tier-bird tick burdens and questing adult tick collections-corroborated this leveling pattern. Lyme disease incidence and I. scapularis submission rate were temporally correlated in the northern but not southern tier. This suggested a decoupling of reported disease incidence and entomological risk.
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Affiliation(s)
- Susan P Elias
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
| | - Kirk A Maasch
- School of Earth and Climate Sciences, University of Maine, Orono, Maine
| | | | - Peter W Rand
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
| | - Eleanor H Lacombe
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
| | - Rebecca M Robich
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
| | - Charles B Lubelczyk
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
| | - Robert P Smith
- Maine Medical Center Research Institute, Vector-borne Disease Research Laboratory, Scarborough, Maine
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A Fully Automated Multiplex Assay for Diagnosis of Lyme Disease with High Specificity and Improved Early Sensitivity. J Clin Microbiol 2020; 58:JCM.01785-19. [PMID: 32132190 DOI: 10.1128/jcm.01785-19] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 02/28/2020] [Indexed: 12/11/2022] Open
Abstract
Lyme borreliosis is a tick-borne disease caused by the Borrelia burgdorferi sensu lato complex. Bio-Rad Laboratories has developed a fully automated multiplex bead-based assay for the detection of IgM and IgG antibodies to B. burgdorferi The BioPlex 2200 Lyme Total assay exhibits an improved rate of seropositivity in patients with early Lyme infection. Asymptomatic subjects from endemic and nonendemic origins demonstrated a seroreactivity rate of approximately 4% that was similar to other commercial assays evaluated in this study. Coupled to this result was the observation that the Lyme Total assay retained a high first-tier specificity of 96% while demonstrating a relatively high sensitivity of 91% among a well-characterized CDC Premarketing Lyme serum panel. The Lyme Total assay also performs well under a modified two-tier algorithm (sensitivity, 84.4 to 88.9%; specificity, 98.4 to 99.5%). Furthermore, the new assay is able to readily detect early Lyme infection in patient samples from outside North America.
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Kirpach J, Colone A, Bürckert JP, Faison WJ, Dubois ARSX, Sinner R, Reye AL, Muller CP. Detection of a Low Level and Heterogeneous B Cell Immune Response in Peripheral Blood of Acute Borreliosis Patients With High Throughput Sequencing. Front Immunol 2019; 10:1105. [PMID: 31156648 PMCID: PMC6532064 DOI: 10.3389/fimmu.2019.01105] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 04/30/2019] [Indexed: 01/08/2023] Open
Abstract
The molecular diagnosis of acute Borreliosis is complicated and better strategies to improve the diagnostic processes are warranted. High Throughput Sequencing (HTS) of human B cell repertoires after e.g., Dengue virus infection or influenza vaccination revealed antigen-associated “CDR3 signatures” which may have the potential to support diagnosis in infectious diseases. The human B cell immune response to Borrelia burgdorferi sensu lato—the causative agent of Borreliosis—has mainly been studied at the antibody level, while less attention has been given to the cellular part of the humoral immune response. There are indications that Borrelia actively influence the B cell immune response and that it is therefore not directly comparable to responses induced by other infections. The main goal of this study was to identify B cell features that could be used to support diagnosis of Borreliosis. Therefore, we characterized the B cell immune response in these patients by combining multicolor flow cytometry, single Borrelia-reactive B cell receptor (BCR) sequencing, and B cell repertoire deep sequencing. Our phenotyping experiments showed, that there is no significant difference between B cell subpopulations of acute Borreliosis patients and controls. BCR sequences from individual epitope-reactive B cells had little in common between each other. HTS showed, however, a higher complementarity determining region 3 (CDR3) amino acid (aa) sequence overlap between samples from different timepoints in patients as compared to controls. This indicates, that HTS is sensitive enough to detect ongoing B cell immune responses in these patients. Although each individual's repertoire was dominated by rather unique clones, clustering of bulk BCR repertoire sequences revealed a higher overlap of IgG BCR repertoire sequences between acute patients than controls. Even if we have identified a few Borrelia-associated CDR3aa sequences, they seem to be rather unique for each patient and therefore not suitable as biomarkers.
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Affiliation(s)
- Josiane Kirpach
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Alessia Colone
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Jean-Philippe Bürckert
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - William J Faison
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Axel R S X Dubois
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Regina Sinner
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Anna L Reye
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Claude P Muller
- Vaccinology and B Cell Immunology, Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
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Ross Russell AL, Dryden MS, Pinto AA, Lovett JK. Lyme disease: diagnosis and management. Pract Neurol 2018; 18:455-464. [PMID: 30282764 DOI: 10.1136/practneurol-2018-001998] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2018] [Indexed: 11/03/2022]
Abstract
Lyme disease (borreliosis) is a tick-borne bacterial infection caused by the spirochaete Borrelia burgdoferi, transmitted by hard-backed Ixodes ticks. Actual numbers of cases are increasing and it appears that the distribution across the UK is widening; however, it occurs most frequently in area of woodland, with temperate climate. It typically presents in mid to late summer. Lyme disease is a multisystem disease. The nervous system is the second most commonly affected system after the skin. Other systemic manifestations, such as carditis, keratitis, uveitis and inflammatory arthritis, rarely occur in European Lyme disease. In 2018, the National Institute for Health and Care Excellence has updated its guidelines on the diagnosis and management of Lyme disease. Here, we highlight important aspects of this guidance and provide a more detailed review of the clinical spectrum of neuroborreliosis, illustrated by cases we have seen.
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Affiliation(s)
- Amy L Ross Russell
- Neurology Department, Wessex Neurosciences Centre, Southampton General Hospital, Tremona Road, Southampton, UK
| | - Matthew S Dryden
- Department of Microbiology and Infection, Hampshire Hospitals NHS Foundation Trust & Rare and Imported Pathogens Department, PHE, Porton, Salisbury, UK
| | - Ashwin A Pinto
- Neurology Department, Wessex Neurosciences Centre, Southampton General Hospital, Tremona Road, Southampton, UK
| | - Joanna K Lovett
- Neurology Department, Wessex Neurosciences Centre, Southampton General Hospital, Tremona Road, Southampton, UK
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