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Rowan S, Mohseni N, Chang M, Burger H, Peters M, Mir S. From Tick to Test: A Comprehensive Review of Tick-Borne Disease Diagnostics and Surveillance Methods in the United States. Life (Basel) 2023; 13:2048. [PMID: 37895430 PMCID: PMC10608558 DOI: 10.3390/life13102048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/08/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
Tick-borne diseases (TBDs) have become a significant public health concern in the United States over the past few decades. The increasing incidence and geographical spread of these diseases have prompted the implementation of robust surveillance systems to monitor their prevalence, distribution, and impact on human health. This comprehensive review describes key disease features with the geographical distribution of all known tick-borne pathogens in the United States, along with examining disease surveillance efforts, focusing on strategies, challenges, and advancements. Surveillance methods include passive and active surveillance, laboratory-based surveillance, sentinel surveillance, and a One Health approach. Key surveillance systems, such as the National Notifiable Diseases Surveillance System (NNDSS), TickNET, and the Tick-Borne Disease Laboratory Network (TBDLN), are discussed. Data collection and reporting challenges, such as underreporting and misdiagnosis, are highlighted. The review addresses challenges, including lack of standardization, surveillance in non-human hosts, and data integration. Innovations encompass molecular techniques, syndromic surveillance, and tick surveillance programs. Implications for public health cover prevention strategies, early detection, treatment, and public education. Future directions emphasize enhanced surveillance networks, integrated vector management, research priorities, and policy implications. This review enhances understanding of TBD surveillance, aiding in informed decision-making for effective disease prevention and control. By understanding the current surveillance landscape, public health officials, researchers, and policymakers can make informed decisions to mitigate the burden of (TBDs).
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Affiliation(s)
| | | | | | | | | | - Sheema Mir
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA 91766, USA; (S.R.)
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2
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Ghosh R, Joung HA, Goncharov A, Palanisamy B, Ngo K, Pejcinovic K, Krockenberger N, Horn EJ, Garner OB, Ghazal E, O’Kula A, Arnaboldi PM, Dattwyler RJ, Ozcan A, Di Carlo D. Single-tier point-of-care serodiagnosis of Lyme disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.14.544508. [PMID: 37398357 PMCID: PMC10312703 DOI: 10.1101/2023.06.14.544508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Point-of-care (POC) serological testing provides actionable information for several difficult to diagnose illnesses, empowering distributed health systems. Accessible and adaptable diagnostic platforms that can assay the repertoire of antibodies formed against pathogens are essential to drive early detection and improve patient outcomes. Here, we report a POC serologic test for Lyme disease (LD), leveraging synthetic peptides tuned to be highly specific to the LD antibody repertoire across patients and compatible with a paper-based platform for rapid, reliable, and cost-effective diagnosis. A subset of antigenic epitopes conserved across Borrelia burgdorferi genospecies and targeted by IgG and IgM antibodies, were selected based on their seroreactivity to develop a multiplexed panel for a single-step measurement of combined IgM and IgG antibodies from LD patient sera. Multiple peptide epitopes, when combined synergistically using a machine learning-based diagnostic model, yielded a high sensitivity without any loss in specificity. We blindly tested the platform with samples from the U.S. Centers for Disease Control & Prevention (CDC) LD repository and achieved a sensitivity and specificity matching the lab-based two-tier results with a single POC test, correctly discriminating cross-reactive look-alike diseases. This computational LD diagnostic test can potentially replace the cumbersome two-tier testing paradigm, improving diagnosis and enabling earlier effective treatment of LD patients while also facilitating immune monitoring and surveillance of the disease in the community.
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Affiliation(s)
- Rajesh Ghosh
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
| | - Hyou-Arm Joung
- Electrical & Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095 USA
| | - Artem Goncharov
- Electrical & Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095 USA
| | - Barath Palanisamy
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
| | - Kevin Ngo
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
| | - Katarina Pejcinovic
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
| | | | | | - Omai B. Garner
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA 90095 USA
| | - Ezdehar Ghazal
- Department of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, New York 10595, United States
| | - Andrew O’Kula
- Department of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, New York 10595, United States
| | - Paul M. Arnaboldi
- Department of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, New York 10595, United States
- Biopeptides, Corp. East Setauket, NY 11733
| | - Raymond J. Dattwyler
- Department of Pathology, Microbiology, and Immunology, New York Medical College, Valhalla, New York 10595, United States
- Biopeptides, Corp. East Setauket, NY 11733
| | - Aydogan Ozcan
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
- Electrical & Computer Engineering Department, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095 USA
- Department of Surgery, University of California, Los Angeles, CA 90095 USA
| | - Dino Di Carlo
- Bioengineering Department, University of California, Los Angeles, CA 90095 USA
- California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095 USA
- Department of Mechanical Engineering, University of California, Los Angeles, CA 90095 USA
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Abstract
Lyme borreliosis is caused by a growing list of related, yet distinct, spirochetes with complex biology and sophisticated immune evasion mechanisms. It may result in a range of clinical manifestations involving different organ systems, and can lead to persistent sequelae in a subset of cases. The pathogenesis of Lyme borreliosis is incompletely understood, and laboratory diagnosis, the focus of this review, requires considerable understanding to interpret the results correctly. Direct detection of the infectious agent is usually not possible or practical, necessitating a continued reliance on serologic testing. Still, some important advances have been made in the area of diagnostics, and there are many promising ideas for future assay development. This review summarizes the state of the art in laboratory diagnostics for Lyme borreliosis, provides guidance in test selection and interpretation, and highlights future directions.
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Joung HA, Ballard ZS, Wu J, Tseng DK, Teshome H, Zhang L, Horn EJ, Arnaboldi PM, Dattwyler RJ, Garner OB, Di Carlo D, Ozcan A. Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning. ACS NANO 2020; 14:229-240. [PMID: 31849225 DOI: 10.1021/acsnano.9b08151] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Caused by the tick-borne spirochete Borrelia burgdorferi, Lyme disease (LD) is the most common vector-borne infectious disease in North America and Europe. Though timely diagnosis and treatment are effective in preventing disease progression, current tests are insensitive in early stage LD, with a sensitivity of <50%. Additionally, the serological testing currently recommended by the U.S. Center for Disease Control has high costs (>$400/test) and extended sample-to-answer timelines (>24 h). To address these challenges, we created a cost-effective and rapid point-of-care (POC) test for early-stage LD that assays for antibodies specific to seven Borrelia antigens and a synthetic peptide in a paper-based multiplexed vertical flow assay (xVFA). We trained a deep-learning-based diagnostic algorithm to select an optimal subset of antigen/peptide targets and then blindly tested our xVFA using human samples (N(+) = 42, N(-) = 54), achieving an area-under-the-curve (AUC), sensitivity, and specificity of 0.950, 90.5%, and 87.0%, respectively, outperforming previous LD POC tests. With batch-specific standardization and threshold tuning, the specificity of our blind-testing performance improved to 96.3%, with an AUC and sensitivity of 0.963 and 85.7%, respectively.
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Affiliation(s)
- Hyou-Arm Joung
- Department of Electrical & Computer Engineering , University of California , Los Angeles , California 90025 , United States
- California NanoSystems Institute (CNSI) , University of California , Los Angeles , California 90025 , United States
- Department of Bioengineering , University of California , Los Angeles , California 90025 , United States
| | - Zachary S Ballard
- Department of Electrical & Computer Engineering , University of California , Los Angeles , California 90025 , United States
- California NanoSystems Institute (CNSI) , University of California , Los Angeles , California 90025 , United States
- Department of Bioengineering , University of California , Los Angeles , California 90025 , United States
| | - Jing Wu
- Department of Electrical & Computer Engineering , University of California , Los Angeles , California 90025 , United States
- Department of Chemistry , Lanzhou University , Lanzhou , Gansu 730000 , China
| | - Derek K Tseng
- Department of Electrical & Computer Engineering , University of California , Los Angeles , California 90025 , United States
| | - Hailemariam Teshome
- Department of Neuroscience , University of California , Los Angeles , California 90025 , United States
| | - Linghao Zhang
- Department of Mechanical Engineering , University of California , Los Angeles , California 90025 , United States
| | | | - Paul M Arnaboldi
- Department of Microbiology/Immunology , New York Medical College , Valhalla , New York 10595 , United States
| | - Raymond J Dattwyler
- Department of Microbiology/Immunology , New York Medical College , Valhalla , New York 10595 , United States
| | - Omai B Garner
- Department of Pathology and Laboratory Medicine , University of California , Los Angeles , California 90025 , United States
| | - Dino Di Carlo
- California NanoSystems Institute (CNSI) , University of California , Los Angeles , California 90025 , United States
- Department of Bioengineering , University of California , Los Angeles , California 90025 , United States
- Department of Mechanical Engineering , University of California , Los Angeles , California 90025 , United States
| | - Aydogan Ozcan
- Department of Electrical & Computer Engineering , University of California , Los Angeles , California 90025 , United States
- California NanoSystems Institute (CNSI) , University of California , Los Angeles , California 90025 , United States
- Department of Bioengineering , University of California , Los Angeles , California 90025 , United States
- Department of Surgery , University of California , Los Angeles , California 90025 , United States
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A Community Study of Borrelia burgdorferi Antibodies among Individuals with Prior Lyme Disease in Endemic Areas. Healthcare (Basel) 2018; 6:healthcare6020069. [PMID: 29921784 PMCID: PMC6023339 DOI: 10.3390/healthcare6020069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 06/12/2018] [Accepted: 06/13/2018] [Indexed: 01/18/2023] Open
Abstract
The objective was to examine the prevalence of Borrelia antibodies among symptomatic individuals with recent and past Lyme disease in endemic communities using standard assays and novel assays employing next-generation antigenic substrates. Single- and two-tiered algorithms included different anti-Borrelia ELISAs and immunoblots. Antibody prevalence was examined in sera from 32 individuals with recent erythema migrans (EM), 335 individuals with persistent symptoms following treatment for Lyme disease (PTLS), and 41 community controls without a history of Lyme disease. Among convalescent EM cases, sensitivity was highest using the C6 ELISA (93.8%) compared to other single assays; specificity was 92.7% for the C6 ELISA vs. 85.4–97.6% for other assays. The two-tiered ELISA-EUROLINE IgG immunoblot combinations enhanced case detection substantially compared to the respective ELISA-IgG Western blot combinations (75.0% vs. 34.4%) despite similar specificity (95.1% vs. 97.6%, respectively). For PTLS cohorts, two-tier ELISA-IgG-blot positivity ranged from 10.1% to 47.4%, depending upon assay combination, time from initial infection, and clinical history. For controls, the two-tier positivity rate was 0–14.6% across assays. A two-tier algorithm of two-ELISA assays yielded a high positivity rate of 87.5% among convalescent EM cases with specificity of 92.7%. For convalescent EM, combinations of the C6 ELISA with a second-tier ELISA or line blot may provide useful alternatives to WB-based testing algorithms.
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Evaluation of a sequential enzyme immunoassay testing algorithm for Lyme disease demonstrates lack of test independence but high diagnostic specificity. Diagn Microbiol Infect Dis 2018; 91:217-219. [PMID: 29550060 DOI: 10.1016/j.diagmicrobio.2018.02.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 01/31/2018] [Accepted: 02/11/2018] [Indexed: 11/21/2022]
Abstract
To diagnose Lyme disease, a two-tier testing algorithm is used in which supplemental IgM and IgG immunoblots to detect antibody to Borrelia burgdorferi are reflexively performed if a first-tier assay, such as a whole-cell sonicate-based enzyme immunoassay (WCS EIA), is reactive. Recent data suggest that equal specificity is found by substituting the C6 peptide EIA for immunoblots. In this study using 3956 control sera, we demonstrated that although this two-tier testing algorithm does significantly improve diagnostic specificity compared with each of the EIAs individually, the WCS EIA and the C6 peptide EIA are not independent tests. Therefore, when the C6 peptide EIA is used as the second-tier test, it should be regarded as a supplemental rather than a confirmatory test.
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Fallon BA, Pavlicova M, Coffino SW, Brenner C. A comparison of lyme disease serologic test results from 4 laboratories in patients with persistent symptoms after antibiotic treatment. Clin Infect Dis 2014; 59:1705-10. [PMID: 25182244 DOI: 10.1093/cid/ciu703] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND As the incidence of Lyme disease (LD) has increased, a number of "Lyme specialty laboratories" have emerged, claiming singular expertise in LD testing. We investigated the degree of interlaboratory variability of several LD serologic tests-whole cell sonicate (WCS) enzyme-linked immunosorbent assay (ELISA), immunoglobulin M (IgM) and immunoglobulin G (IgG) Western blots (WBs), and an ELISA based on the conserved sixth region of variable major protein-like sequence expressed (C6)-that were performed at 1 university laboratory, 1 commercial laboratory, and 2 laboratories that specialize in LD testing. METHODS Serum samples from 37 patients with posttreatment Lyme syndrome, as well as 40 medically healthy controls without prior LD, were tested independently at the 4 laboratories. RESULTS In general, there was little difference among the laboratories in the percentage of positive test results on the ELISAs and IgG WBs, although the number of discordant results was often high. When in-house criteria for positivity were used at the 2 specialty laboratories, specificity at 1 laboratory declined considerably on both the IgM and IgG WBs. The Centers for Disease Control and Prevention (CDC) 2-tiered criteria improved overall concordance. At the 2 laboratories that performed the C6 ELISA, the percentage of positive tests was comparable to that of the WCS ELISA while providing higher specificity. The IgM WB performed poorly in our patient population of individuals with later-stage illness, a result consistent with previous studies. CONCLUSIONS Although there was surprisingly little difference among the laboratories in percentage of positive results on most assays using CDC criteria, interlaboratory variability was considerable and remains a problem in LD testing.
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Affiliation(s)
| | | | | | - Carl Brenner
- Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York
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Comparative cost-effectiveness of two-tiered testing strategies for serodiagnosis of lyme disease with noncutaneous manifestations. J Clin Microbiol 2013; 51:4045-9. [PMID: 24068010 DOI: 10.1128/jcm.01853-13] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The mainstay of laboratory diagnosis for Lyme disease is two-tiered serological testing, in which a reactive first-tier enzyme-linked immunosorbent assay (ELISA) or an immunofluorescence assay is supplemented by separate IgM and IgG immunoblots. Recent data suggest that the C6 ELISA can be substituted for immunoblots without a reduction in either sensitivity or specificity. In this study, the costs of 4 different two-tiered testing strategies for Lyme disease were compared using the median charges for these tests at 6 commercial diagnostic laboratories in 2012. The study found that a whole-cell sonicate ELISA followed by the C6 ELISA was the most cost-effective two-tiered testing strategy for Lyme disease with acute-phase serum samples. We conclude that the C6 ELISA can substitute for immunoblots in the two-tiered testing protocol for Lyme disease without a loss of sensitivity or specificity and is less expensive.
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Ang CW, Notermans DW, Hommes M, Simoons-Smit AM, Herremans T. Large differences between test strategies for the detection of anti-Borrelia antibodies are revealed by comparing eight ELISAs and five immunoblots. Eur J Clin Microbiol Infect Dis 2011; 30:1027-32. [PMID: 21271270 PMCID: PMC3132383 DOI: 10.1007/s10096-011-1157-6] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2010] [Accepted: 01/01/2011] [Indexed: 11/26/2022]
Abstract
We investigated the influence of assay choice on the results in a two-tier testing algorithm for the detection of anti-Borrelia antibodies. Eighty-nine serum samples from clinically well-defined patients were tested in eight different enzyme-linked immunosorbent assay (ELISA) systems based on whole-cell antigens, whole-cell antigens supplemented with VlsE and assays using exclusively recombinant proteins. A subset of samples was tested in five immunoblots: one whole-cell blot, one whole-cell blot supplemented with VlsE and three recombinant blots. The number of IgM- and/or IgG-positive ELISA results in the group of patients suspected of Borrelia infection ranged from 34 to 59%. The percentage of positives in cross-reactivity controls ranged from 0 to 38%. Comparison of immunoblots yielded large differences in inter-test agreement and showed, at best, a moderate agreement between tests. Remarkably, some immunoblots gave positive results in samples that had been tested negative by all eight ELISAs. The percentage of positive blots following a positive ELISA result depended heavily on the choice of ELISA–immunoblot combination. We conclude that the assays used to detect anti-Borrelia antibodies have widely divergent sensitivity and specificity. The choice of ELISA–immunoblot combination severely influences the number of positive results, making the exchange of test results between laboratories with different methodologies hazardous.
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Affiliation(s)
- C W Ang
- VUMC, Amsterdam, The Netherlands.
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Abstract
A large amount of knowledge has been acquired since the original descriptions of Lyme borreliosis (LB) and of its causative agent, Borrelia burgdorferi sensu stricto. The complexity of the organism and the variations in the clinical manifestations of LB caused by the different B. burgdorferi sensu lato species were not then anticipated. Considerable improvement has been achieved in detection of B. burgdorferi sensu lato by culture, particularly of blood specimens during early stages of disease. Culturing plasma and increasing the volume of material cultured have accomplished this. Further improvements might be obtained if molecular methods are used for detection of growth in culture and if culture methods are automated. Unfortunately, culture is insensitive in extracutaneous manifestations of LB. PCR and culture have high sensitivity on skin samples of patients with EM whose diagnosis is based mostly on clinical recognition of the lesion. PCR on material obtained from extracutaneous sites is in general of low sensitivity, with the exception of synovial fluid. PCR on synovial fluid has shown a sensitivity of up to >90% (when using four different primer sets) in patients with untreated or partially treated Lyme arthritis, making it a helpful confirmatory test in these patients. Currently, the best use of PCR is for confirmation of the clinical diagnosis of suspected Lyme arthritis in patients who are IgG immunoblot positive. PCR should not be used as the sole laboratory modality to support a clinical diagnosis of extracutaneous LB. PCR positivity in seronegative patients suspected of having late manifestations of LB most likely represents a false-positive result. Because of difficulties in direct methods of detection, laboratory tests currently in use are mainly those detecting antibodies to B. burgdorferi sensu lato. Tests used to detect antibodies to B. burgdorferi sensu lato have evolved from the initial formats as more knowledge on the immunodominant antigens has been collected. The recommendation for two-tier testing was an attempt to standardize testing and improve specificity in the United States. First-tier assays using whole-cell sonicates of B. burgdorferi sensu lato need to be standardized in terms of antigen composition and detection threshold of specific immunoglobulin classes. The search for improved serologic tests has stimulated the development of recombinant protein antigens and the synthesis of specific peptides from immunodominant antigens. The use of these materials alone or in combination as the source of antigen in a single-tier immunoassay may someday replace the currently recommended two-tier testing strategy. Evaluation of these assays is currently being done, and there is evidence that certain of these antigens may be broadly cross-reactive with the B. burgdorferi sensu lato species causing LB in Europe.
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Affiliation(s)
- Maria E Aguero-Rosenfeld
- Department of Pathology, Division of Infectious Diseases, New York Medical College, Valhalla, NY, USA.
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Marangoni A, Sparacino M, Cavrini F, Storni E, Mondardini V, Sambri V, Cevenini R. Comparative evaluation of three different ELISA methods for the diagnosis of early culture-confirmed Lyme disease in Italy. J Med Microbiol 2005; 54:361-367. [PMID: 15770021 DOI: 10.1099/jmm.0.45853-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
In this study the raising and development of the immune response to Borrelia burgdorferi infection in 45 Italian patients suffering from culture-confirmed Lyme borreliosis erythema migrans was investigated. A total of 95 serially collected serum samples were tested by using three different commercial ELISAs: recomWell Borrelia (Mikrogen), Enzygnost Borreliosis (DADE Behring) and Quick ELISA C6 Borrelia (Immunetics). The sensitivities of the ELISAs were as follows: Enzygnost Borreliosis IgM, 70.5 %; Quick ELISA C6 Borrelia, 62.1 %; recomWell Borrelia IgM, 55.7 %; recomWell Borrelia IgG, 57.9 %; and Enzygnost Borreliosis IgG, 36.8 %. In order to compare the specificity values of the three ELISAs, a panel of sera obtained from blood donors (210 samples coming from a non-endemic area and 24 samples from an endemic area) was tested, as well as sera from patients suffering from some of the most common biological conditions that could result in false-positive reactivity in Lyme disease serology (n = 40). RecomWell Borrelia IgG and recomWell Borrelia IgM were the most specific (97.1 % and 98.9 %, respectively), followed by Quick ELISA C6 Borrelia (96.7 %). Enzygnost Borreliosis IgG and IgM achieved 90.1 % and 92.3 % specificity, respectively. Sera that gave discrepant results when tested by the three ELISAs were further analysed by Western blotting.
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Affiliation(s)
- Antonella Marangoni
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Monica Sparacino
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Francesca Cavrini
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Elisa Storni
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Valeria Mondardini
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Vittorio Sambri
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
| | - Roberto Cevenini
- Sezione di Microbiologia - DMCSS, University of Bologna, St Orsola Hospital, via Massarenti 9, Bologna, Italy 2Centro di Riferimento Regionale per le Emergenze Microbiologiche, Ospedale Policlinico S. Orsola, Bologna, Italy 3Division of Infectious Diseases, Ospedale di Belluno, Belluno, Italy
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Katti MK. Are enzyme-linked immunosorbent assay and immunoblot assay independent in immunodiagnosis of infectious diseases? Clin Infect Dis 2001; 32:1114. [PMID: 11264047 DOI: 10.1086/319611] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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