Cited by 7Systemic Lupus Erythematosus ResearchAdvanced Biosensing Techniques and ApplicationsSystemic Sclerosis and Related Diseases

Clinical autoantibody detection by microarray

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Dillaerts, Doreen, De Baere, Heidi, Bossuyt, Xavier·2017·Clinical Chemistry and Laboratory Medicine (CCLM)

Abstract

Background: AMiDot is a microdot array-based immunoassay that allows simultaneous detection of multiple autoantibodies on a single patient. We evaluated the AMiDot “Systemic Autoimmune Disease” (SAD) panel, which detects antibodies to 17 different antigens. Methods: AMiDot was performed on 184 samples from blood donors and on 280 randomly selected clinical samples containing antibodies to extractable nuclear antigens or to dsDNA. The results obtained by AMiDot on the clinical samples were compared to results obtained by EliA (Thermo Fisher) for anti-Ro60, anti-La, anti-RNP, anti-Scl-70, anti-CENPB, anti-Sm, and anti-Jo-1 and by Farr assay for anti-dsDNA. Discordant results were further analyzed by immunodot (D-tek). Results: Concordance between AMiDot and EliA was ≥87% and κ agreement ≥0.44. When compared to EliA and immunodot (in case of discordance between AMiDot and EliA), concordance improved to ≥91% and κ agreement to ≥0.77. The sensitivity of AMiDot (compared to EliA and immunodot, in case of discordance between AMiDot and EliA) was ≥93%, except for anti-Ro60 (84%). The concordance and κ agreement of AMiDot with the Farr assay (for dsDNA antibodies) was, respectively, 84% and 0.33. The sensitivity of AMiDot for dsDNA (compared to Farr assay) was 25%. The specificity was ≥97% (in blood donors as well as in clinical samples). The within-run imprecision was 9%–27% and the between-run imprecision 29%–39%. Conclusions: AMiDot offers an alternative to line immunodot assay. Individual antibody assays might suffer from low sensitivity.

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  • AMiDot showed only mild agreement for anti-dsDNA antibody measurements with Farr.

    “AMiDot, a microdot array that detects antibodies to 17 different antigens showed only mild agreement for anti-dsDNA antibody measurements with Farr [69].”

    From Laboratory evaluation of anti-dsDNA antibodies. (2022) · cites this paper as [69]

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References 12 · Cited by 7

Authors
Dillaerts, D., De Baere, H., & Bossuyt, X.
Affiliations
  • KU Leuven (BE)
  • Universitair Ziekenhuis Leuven (BE)
Corresponding author
Bossuyt, Xavier
Venue
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2017-01-01
Volume
55
Issue
4
Pages
578-585
ISSN
  • 1434-6621 (ISSN-L)
  • 1437-4331
OpenAlex
W2521225301
Cited by
7
References
12
Citations by year
2024: 3 · 2022: 2 · 2018: 1 · 2017: 1
FWCI
0.71
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Clinical Chemistry and Laboratory Medicine (CCLM) (publishedVersion)
  • PubMed (publishedVersion)
  • Lirias (submittedVersion, other-oa)
Topics
  • Health Sciences › Medicine › Rheumatology › Systemic Lupus Erythematosus Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Systemic Sclerosis and Related Diseases
Keywords
autoantibody detection, anti-dsDNA antibodies, extractable nuclear antigens, anti-Scl-70 antibodies, anti-Jo-1 antibodies, assay concordance, assay sensitivity and specificity, Farr assay
MeSH terms
Adolescent, Adult, Aged, Autoantibodies, Autoimmune Diseases, DNA, Female, Humans, Immunoassay, Male, Middle Aged, Random Allocation, Reference Values, Sensitivity and Specificity, Antigens, Nuclear, Protein Array Analysis, Young Adult

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