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Can I read Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism on EtoBox?
Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism by Alexandra Ramirez-Celis; Martin Becker; Miriam Nuño; Joseph Schauer; Nima Aghaeepour; Judy Van de Water is a Neuroscience article available to read on EtoBox.
What is Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism about?
The incidence of autism spectrum disorder (ASD) has been rising, however ASD-risk biomarkers remain lacking. We previously identified the presence of maternal autoantibodies to fetal brain proteins specific to ASD, now termed maternal autoantibody-related (MAR) ASD. The current study aimed to create and validate a serological assay to identify ASD-specific maternal autoantibody patterns of reactivity against eight previously identified proteins (CRMP1, CRMP2, GDA, NSE, LDHA, LDHB, STIP1, and YBOX) that are highly expressed in developing brain, and determine the relationship of these reactivity patterns with ASD outcome severity. We used plasma from mothers of children diagnosed with ASD (__n__ = 450) and from typically developing children (TD, __n__ = 342) to develop an ELISA test for each of the protein antigens. We then determined patterns of reactivity a highly significant association with ASD, and discovered several patterns that were ASD-specific (18% in the training set and 10% in the validation set vs. 0% TD). The three main patterns associated with MAR ASD are CRMP1 + GDA (ASD% = 4.2 vs. TD% = 0, OR 31.04, __p__ = <0.0001), CRMP1 + CRMP2 (ASD% = 3.6 vs. TD% = 0, OR 26.08, _
Who reads Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Alexandra Ramirez-Celis; Martin Becker; Miriam Nuño; Joseph Schauer; Nima Aghaeepour; Judy Van de Water
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Neuroscience (Life Sciences)