Summary: Maternal autoantibody–related autism spectrum disorder (MAR ASD) is marked by specific maternal antibodies that react to certain proteins in the fetal brain. Examining the plasma of expecting mothers, researchers found mothers with reactivity to one of the nine MAR ASD patterns were eight times as likely to have a child diagnosed with autism.
Source: UC Davis
Autism is a neurodevelopment condition affecting 1 in 44 children in the U.S. It has a wide range of characteristics with different intensities and causes. One type of autism is maternal autoantibody–related autism spectrum disorder (MAR ASD).
MAR ASD is marked by the presence of specific maternal immune proteins known as autoantibodies that react to certain proteins found in the fetal brain. The maternal autoantibodies (IgG) cross the placenta and access the developing brain. Once there, they may cause changes in the way the brain develops in the offspring, leading to behaviors linked to autism.
Two new UC Davis MIND Institute studies are expanding our understanding of this type of autism. They found support for predictive protein patterns in the blood of expecting mothers and links of MAR ASD to higher intensities of autistic traits.
MAR ASD patterns linked to autism before birth
The MIND Institute’s Judy Van de Water and a team of researchers showed that autoantibody binding to nine specific combinations of proteins (known as MAR ASD patterns) successfully predicts autism in previously diagnosed children.
They tested maternal blood samples collected during pregnancy to see if they could validate the identified patterns. They wanted to see if the patterns accurately predicted autism in the children.
Their study findings were published in Molecular Psychiatry.
“Previously, we identified nine patterns linked to MAR ASD. In this study, we wanted to check the accuracy of these patterns in predicting MAR ASD. To do that, we tested plasma from pregnant mothers, collected by the Early Markers for Autism (EMA) study,” said Van de Water, the study’s senior author. Van de Water is a UC Davis professor of immunology and neurodevelopment.
The study screened the plasma of 540 mothers of autistic children, 184 mothers of kids with intellectual disability but no autism, and 420 general population mothers of kids with no known autism or intellectual disability at the time of the study.
It found reactivity to at least one of the nine MAR ASD patterns in 10% of the autistic group. This is compared with 4% of the intellectual disability group for some patterns, and 1% of the general population group. Four patterns were present only in mothers whose children were later diagnosed with autism, making those particular autoantibody patterns highly predictive.
The study also found that a mother with reactivity to any one of the nine MAR ASD patterns has around 8 times the chance of having an autistic child.
Several MAR ASD patterns were strongly associated with autism with intellectual disability. Others were linked to autism without intellectual disability. The protein pattern most strongly linked to autism was (CRMP1+CRMP2). It increased the likelihood of an autism diagnosis by 16 times and was not found in the non-autism groups.
MAR ASD similarly present across states
Previous research found the MAR subtype of autism in 20% of a Northern California sample of autistic kids Yet, until now, this type of autism has not been studied in any state besides California.
A team of researchers led by Kathleen Angkustsiri explored MAR ASD in two new clinical sites: the Children’s Hospital of Philadelphia (CHOP) and Arkansas Children’s Hospital and Research Institute (ACHRI).
The study also included data from the children’s clinical diagnostic assessments. It used established diagnostic measures known as ADOS (the autism diagnostic observation schedule) and Social Communication Questionnaire (SCQ) to assess the children’s autistic characteristics.
MAR ASD was present in 21% of CHOP’s and 26% of ACHRI’s samples. Overall, 23.5% of the blood samples were considered MAR positive (+MAR), showing autoantibodies reacting to known MAR ASD protein patterns.
“Our study showed similar MAR ASD frequencies in two other states similar to what we observed in Northern California,” Angkustsiri said. Angkustsiri is an associate professor of developmental-behavioral pediatrics at UC Davis Children’s Hospital and the UC Davis MIND Institute and the study’s lead author. “This suggests that the prevalence of MAR ASD is consistent across different demographics and geographic settings.”
MAR ASD and autism characteristics
The study also examined the link between MAR ASD and autism severity. It showed that children of mothers with +MAR antibodies had higher autism severity scores than those of -MAR mothers. It did not find significant differences in their IQ, adaptive function or unusual behavior.
“MAR ASD positivity may be linked to more severe autism behaviors,” Angkustsiri said. “Both the SCQ reported by parents and the ADOS assessed by clinicians supported these findings.”
Further study is needed to understand why mothers develop these antibodies and how long these antibodies may persist. Testing for MAR ASD patterns can be used to assess the probability of a child having autism before characteristics are present. The researchers aim to develop an accurate clinical test to provide clinicians with more tools for an earlier diagnosis of ASD.
“We hope our work can help develop better-tailored services based on the type of autism and the child’s strengths and specific challenges,” Van de Water said.
Co-authors on Van de Water’s study are Alexandra Ramirez-Celis, Joseph Schauer and Paul Ashwood from UC Davis, Lisa Croen, Cathleen Yoshida and Stacey Alexeeff from Kaiser Permanente, and Robert Yolken from Johns Hopkins University.
Funding: Funding was provided by the NIEHS Center for Children’s Environmental Health and Environmental Protection Agency (EPA) grants (2P01ES011269-11, 83543201), the NIEHS-funded EMA study (R01ES016669), the NICHD-funded IDDRC (P50HD103526) and Consejo Nacional de Ciencia y Tecnologia (CONACYT- UC MEXUS) Doctoral Fellowships.
Co-authors on Angkustsiri’s study are Jill Fussell, Amanda Bennett, Joseph Schauer, Alexandra Ramirez-Celis, Robin Hansen and Judy Van de Water. The study was funded by the DBPNet Young Investigator Award UT5MC42432 and the NICHD-funded IDDRC (P50HD103526)
The authors recognize that medical terms such as “symptom” and “severity” are pathologizing and are making efforts to move away from this historical terminology. In this paper, the analysis is based on the “calibrated severity score” generated from the use of the diagnostic test the ADOS, which is why they’re using them in this instance.
About this autism research news
Author: Nadine Yehya Source: UC Davis Contact: Nadine Yehya – UC Davis Image: The image is in the public domain
Maternal autoantibody profiles as biomarkers for ASD and ASD with co-occurring intellectual disability
Maternal autoantibody-related ASD (MAR ASD) is a subtype of autism in which pathogenic maternal autoantibodies (IgG) cross the placenta, access the developing brain, and cause neurodevelopmental alterations and behaviors associated with autism in the exposed offspring.
We previously reported maternal IgG response to eight proteins (CRMP1, CRMP2, GDA LDHA, LDHB, NSE, STIP1, and YBOX) and that reactivity to nine specific combinations of these proteins (MAR ASD patterns) was predictive of ASD risk.
The aim of the current study was to validate the previously identified MAR ASD patterns (CRMP1 + GDA, CRMP1 + CRMP2, NSE + STIP1, CRMP2 + STIP1, LDHA + YBOX, LDHB + YBOX, GDA + YBOX, STIP1 + YBOX, and CRMP1 + STIP1) and their accuracy in predicting ASD risk in a prospective cohort employing maternal samples collected prior to parturition.
We used prenatal plasma from mothers of autistic children with or without co-occurring intellectual disability (ASD = 540), intellectual disability without autism (ID = 184) and general population controls (GP = 420) collected by the Early Markers for Autism (EMA) study.
We found reactivity to one or more of the nine previously identified MAR ASD patterns in 10% of the ASD group compared with 4% of the ID group and 1% of the GP controls (ASD vs GP: Odds Ratio (OR) = 7.81, 95% Confidence Interval (CI) 3.32 to 22.43; ASD vs ID: OR = 2.77, 95% CI (1.19–7.47)) demonstrating that the MAR ASD patterns are strongly associated with the ASD group and could be used to assess ASD risk prior to symptom onset.
The pattern most strongly associated with ASD was CRMP1 + CRMP2 and increased the odds for an ASD diagnosis 16-fold (3.32 to >999.99).
In addition, we found that several of these specific MAR ASD patterns were strongly associated with ASD with intellectual disability (ASD + ID) and others associated with ASD without ID (ASD-no ID). Prenatal screening for these MAR patterns may lead to earlier identification of ASD and facilitate access to the appropriate early intervention services based on each child’s needs.