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 › peer-review

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 and Allergy
Immunology

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10.1016/j.jim.2015.12.003

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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 › peer-review

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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title = "SLE-key{\textregistered} rule-out serologic test for excluding the diagnosis of systemic lupus erythematosus: Developing the ImmunArray iCHIP{\textregistered}",

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.",

keywords = "Autoantibodies, Diagnosis, ICHIP, Microarray, Multivariate classifier, Systemic lupus erythematosus",

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

note = "Funding Information: The authors wish to acknowledge the invaluable contributions of Ornit Cohen-Gindi, Miriam Lerner, Naama Shefer, Ilana Gilkaite, Angela Turner, Tim Van Meter, Justin Pitts, Joseph Green and Nazanin Mirshahi. The research leading to these results has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115308 BIOVACSAFE, resources of which are composed of financial contributions from the European Union''s Seventh Framework Programme (FP7/2007-2013) and EFPIA companies in kind contribution. The Hopkins Lupus Cohort is supported by NIH RO-1 AR43727.",

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AU - Batty, D. Scott

AU - Sanz, Ignacio

AU - Oates, Jim

AU - Jakobi, Keren

AU - Petri, Michelle

AU - Safer, Pennina

AU - Gerwien, Robert

AU - Sorek, Rachel

AU - Blumenstein, Yakov

AU - Cohen, Irun R.

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AB - 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.

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