SLE-key® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP®

Chaim Putterman; Alan Wu; Anat Reiner-Benaim; D. Scott Batty; Ignacio Sanz; Jim Oates; Keren Jakobi; Michelle Petri; Pennina Safer; Robert Gerwien; Rachel Sorek; Yakov Blumenstein; Irun R. Cohen

doi:10.1016/j.jim.2015.12.003

SLE-key^® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP^®

Chaim Putterman, Alan Wu, Anat Reiner-Benaim, D. Scott Batty, Ignacio Sanz, Jim Oates, Keren Jakobi, Michelle Petri, Pennina Safer, Robert Gerwien, Rachel Sorek, Yakov Blumenstein, Irun R. Cohen

Medicine

Research output: Contribution to journal › Article

15 Scopus citations

Abstract

We describe here the development, verification and validation of the SLE-key^® rule-out test for a definitive rule-out of a diagnosis of systemic lupus erythematosus (SLE). The test uses the proprietary iCHIP^® micro-array technology platform (Fattal et al., 2010) to identify discriminating patterns of circulating autoantibodies among SLE patients compared with self-declared healthy individuals. Given the challenges associated with the diagnosis of SLE and the healthcare costs of delayed diagnosis and misdiagnosis, a definitive rule-out test can provide significant clinical benefits to patients and potentially major cost savings to healthcare systems.

Original language	English (US)
Pages (from-to)	1-6
Number of pages	6
Journal	Journal of Immunological Methods
Volume	429
DOIs	https://doi.org/10.1016/j.jim.2015.12.003
State	Published - Feb 1 2016

Keywords

Autoantibodies
Diagnosis
ICHIP
Microarray
Multivariate classifier
Systemic lupus erythematosus

ASJC Scopus subject areas

Immunology
Immunology and Allergy

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Putterman, C., Wu, A., Reiner-Benaim, A., Batty, D. S., Sanz, I., Oates, J., Jakobi, K., Petri, M., Safer, P., Gerwien, R., Sorek, R., Blumenstein, Y., & Cohen, I. R. (2016). SLE-key^® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP^®. Journal of Immunological Methods, 429, 1-6. https://doi.org/10.1016/j.jim.2015.12.003

SLE-key^® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus : Developing the ImmunArray iCHIP^®. / Putterman, Chaim; Wu, Alan; Reiner-Benaim, Anat; Batty, D. Scott; Sanz, Ignacio; Oates, Jim; Jakobi, Keren; Petri, Michelle; Safer, Pennina; Gerwien, Robert; Sorek, Rachel; Blumenstein, Yakov; Cohen, Irun R.

In: Journal of Immunological Methods, Vol. 429, 01.02.2016, p. 1-6.

Research output: Contribution to journal › Article

Putterman, C, Wu, A, Reiner-Benaim, A, Batty, DS, Sanz, I, Oates, J, Jakobi, K, Petri, M, Safer, P, Gerwien, R, Sorek, R, Blumenstein, Y & Cohen, IR 2016, 'SLE-key^® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP^®', Journal of Immunological Methods, vol. 429, pp. 1-6. https://doi.org/10.1016/j.jim.2015.12.003

Putterman, Chaim ; Wu, Alan ; Reiner-Benaim, Anat ; Batty, D. Scott ; Sanz, Ignacio ; Oates, Jim ; Jakobi, Keren ; Petri, Michelle ; Safer, Pennina ; Gerwien, Robert ; Sorek, Rachel ; Blumenstein, Yakov ; Cohen, Irun R. / SLE-key^® rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus : Developing the ImmunArray iCHIP^®. In: Journal of Immunological Methods. 2016 ; Vol. 429. pp. 1-6.

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abstract = "We describe here the development, verification and validation of the SLE-key{\textregistered} rule-out test for a definitive rule-out of a diagnosis of systemic lupus erythematosus (SLE). The test uses the proprietary iCHIP{\textregistered} micro-array technology platform (Fattal et al., 2010) to identify discriminating patterns of circulating autoantibodies among SLE patients compared with self-declared healthy individuals. Given the challenges associated with the diagnosis of SLE and the healthcare costs of delayed diagnosis and misdiagnosis, a definitive rule-out test can provide significant clinical benefits to patients and potentially major cost savings to healthcare systems.",

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