Analytical Validation of an ELISA Assay for Maternal Autoantibody-Related Autism

Background/Objectives: Genetic and environmental factors during early development contribute to autism pathogenesis. Maternal autoantibodies recognizing specific fetal brain proteins can predict autism risk in a subset of cases. These antibodies cross the placenta and bind to their target antigens, which play critical roles in neurodevelopment, thereby increasing autism risk in this mechanistically defined subtype, Maternal Autoantibody-Related Autism (MARA). A multi-ELISA assay that detects maternal autoantibody combinations associated with increased autism risk has been described in the literature. This study aimed to transfer the MARA related autoantibody component assays to a clinical development laboratory for optimization and performance characterization. Methods: Indirect ELISA assays for eight maternal autoantibodies targeting LDH-A, LDH-B, GAH, STI1, CRMP-1, CRMP-2, NSE, and YB-1 were transferred from an academic laboratory to a clinical development laboratory for optimization and determination of the analytical performance and preliminary assay cutoff values. Standard methodologies were used to assess linearity, sensitivity, specificity, precision, and stability. Predefined validation protocols based on professional guidelines with established acceptance criteria for each parameter were followed. Results: Optimized ELISAs met the acceptable analytical performance criteria. All assays except one demonstrated excellent linearity when diluted with buffer or non-reactive plasma. The sensitivity analysis showed the lower limit of quantification discretely above the limit of detection, and below the preliminary population-based threshold values. Coefficients of variation for within-lot reproducibility of positive samples were <15%, with two minor exceptions. Common interfering substances, except whole human IgG, did not affect assay performance. Microtiter assay plates were stable for at least six months without significant assay drift. Conclusions: These maternal autoantibody assays demonstrated high sensitivity, specificity, and robustness, supporting progression to validation in CLIA-certified clinical laboratories. These assays will enable rigorous clinical evaluation of the accuracy of specific antibody combinations previously reported in the peer reviewed literature to specifically correlate with autism.

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Publication Details

Journal
Diagnostics
Published
2026-05-28
DOI
https://doi.org/10.3390/diagnostics16111665
Primary Topic
Autism Spectrum Disorder Research
Type
article
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article

Analytical Validation of an ELISA Assay for Maternal Autoantibody-Related Autism

Justin Nicolace, Katherine Menning, Joseph Schauer, Jessica Barkow et al.
Diagnostics
Autism Spectrum Disorder Research
article

Analytical Validation of an ELISA Assay for Maternal Autoantibody-Related Autism

Justin Nicolace, Katherine Menning, Joseph Schauer, Jessica Barkow, Beth Hurley, E. Robert Wassman, Mags McInerney, Judy Van de Water
article en

Abstract

Background/Objectives: Genetic and environmental factors during early development contribute to autism pathogenesis. Maternal autoantibodies recognizing specific fetal brain proteins can predict autism risk in a subset of cases. These antibodies cross the placenta and bind to their target antigens, which play critical roles in neurodevelopment, thereby increasing autism risk in this mechanistically defined subtype, Maternal Autoantibody-Related Autism (MARA). A multi-ELISA assay that detects maternal autoantibody combinations associated with increased autism risk has been described in the literature. This study aimed to transfer the MARA related autoantibody component assays to a clinical development laboratory for optimization and performance characterization. Methods: Indirect ELISA assays for eight maternal autoantibodies targeting LDH-A, LDH-B, GAH, STI1, CRMP-1, CRMP-2, NSE, and YB-1 were transferred from an academic laboratory to a clinical development laboratory for optimization and determination of the analytical performance and preliminary assay cutoff values. Standard methodologies were used to assess linearity, sensitivity, specificity, precision, and stability. Predefined validation protocols based on professional guidelines with established acceptance criteria for each parameter were followed. Results: Optimized ELISAs met the acceptable analytical performance criteria. All assays except one demonstrated excellent linearity when diluted with buffer or non-reactive plasma. The sensitivity analysis showed the lower limit of quantification discretely above the limit of detection, and below the preliminary population-based threshold values. Coefficients of variation for within-lot reproducibility of positive samples were <15%, with two minor exceptions. Common interfering substances, except whole human IgG, did not affect assay performance. Microtiter assay plates were stable for at least six months without significant assay drift. Conclusions: These maternal autoantibody assays demonstrated high sensitivity, specificity, and robustness, supporting progression to validation in CLIA-certified clinical laboratories. These assays will enable rigorous clinical evaluation of the accuracy of specific antibody combinations previously reported in the peer reviewed literature to specifically correlate with autism.

DiagnosticsVol. 16(11)
Lake County (US), Corgenix (United States) (US), University of California Davis Medical Center (US), University of California, Davis (US)
Openalex Percentile: Top 5%
Autism Spectrum Disorder Research
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