Gestational Autoantibody Exposure Alters Early Brain Development in a Rat Model of MAR Autism
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PROVIDER: PRJNA1150899 | ENA |
REPOSITORIES: ENA
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Project description:Maternal autoantibody related autism (MARA), in which mothers produce specific patterns of autoantibodies during pregnancy, resulting in an autism diagnosis in their offspring, has been observed clinically. Multiple patterns of MARA autoantibodies have been identified clinically, and differences in the severity of the autism phenotype based on the autoantibody pattern have been described. In this study we utilized our preclinical rat model to further elucidate the differential effects of MARA autoantibody exposure based on the known clinical patterns, including the originally identified pattern of lactate dehydrogenase A and B (LDHA/B) + collapsin response mediator protein 1 (CRMP1) + stress-induced phosphoprotein 1 (STIP1) as well as the newly described patterns of CRMP1+CRMP2, CRMP1 + guanine deaminase (GDA), and STIP1+ neuron-specific enolase (NSE). We found that, at postnatal day 2, the levels of brain-specific and serum cytokines/chemokines were altered based on the pattern of MARA autoantibody exposure. Further, we observed changes in the brain transcriptomic profiles that suggest cellular proliferation and differentiation changes due to MARA exposure.
2025-07-02 | GSE275431 | GEO
Project description: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, p = 0.0005) and NSE + STIP1 (ASD% = 3.1 vs. TD% = 0, OR 22.82, p = 0.0001). Additionally, we found that maternal autoantibody reactivity to CRMP1 significantly increases the odds of a child having a higher Autism Diagnostic Observation Schedule (ADOS) severity score (OR 2.3; 95% CI: 1.358-3.987, p = 0.0021). This is the first report that uses machine learning subgroup discovery to identify with 100% accuracy MAR ASD-specific patterns as potential biomarkers of risk for a subset of up to 18% of ASD cases in this study population.
| S-EPMC8159732 | biostudies-literature
Project description:Gestational diabetes mellitus alters placental structure, efficiency, and plasticity
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Project description:Gestational and lactational exposure to gossypol alters the testis transcriptome
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Project description:Methods: mRNA profiles of untransfected HeLa cells (wild-type; wt) were compared with mRNA profiles of HeLa cells stably maintaining an S/MAR-based episome. Results: We here report for the first time that episomally maintained S/MAR-based vectors do not alter gene expression profile of the host cell's genome. No global changes in gene expression in episome maintaining cells, compared to non-transfected cells could be observed. To identify differentially expressed genes, false discovery rate (FDR; q-value) cut off was set to 0.01. Significantly differentially expressed genes with q<0.01 and an absolute fold-change of 2 were not detected. For verification, we chose five genes with high fold-change and low q-values (q<0.05) and compared expression levels between untransfected HeLa and HeLa stably maintaining an S/MAR-based within three replicates in qPCR. Conclusions: S/MAR-based replicons used in this study do not code for viral proteins but tend to co-localise with promoter sequences and transcription start sites. Recent observations that cooperatively transcribed promoters can influence each other raise concerns that S/MAR-based replicons have the potential to alter endogenous gene expression. Therefore, we compared the transcriptome of untransfected HeLa cells with HeLa cells stably maintaining an S/MAR-based episome. Setting the FDR to <0.01, we found no significantly differentially expressed genes. This finding is of utmost importance for potential gene therapeutic application of S/MAR-based replicons.
2017-09-18 | GSE97725 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE37664: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 1A) GSE37670: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 2A) GSE37826: Human cerebrospinal fluid autoantibody lipid microarray profiling (Fig. 2C) Refer to individual Series
2012-05-08 | E-GEOD-37830 | biostudies-arrayexpress
Project description:Phallus impudicus MAR Genome sequencing
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Project description:Cl-amidine treatment reduces autoantibody responses in CIA. Sera were collected from Cl-amidine and control treated mice, and autoantibodies in these samples were profiled using Synovial Antigen Arrays. Significance Analysis of Microarrays (SAM) was used to analyze the antigen array datasets, and identified 8 antigens with a significant difference in autoantibody reactivity (false discovery rate (q) < 5%). Hierarchical clustering was then performed to elucidate the relationships between the autoantibody profiles. The Cl-amidine treated mice clustered together and exhibited lower autoantibody titers against all of the 8 antigens identified by SAM, including autoantibody reactivity to native epitopes derived from cartilage as well as citrulline-modified filaggrin peptides.
2010-08-21 | GSE23731 | GEO
Project description:There is a growing body of evidence that inadequate maternal nutrition during gestation can have immediate and life-long effects on offspring. However, little is known about the reproductive effects of maternal gestational nutrition in offspring males. Here, using a sheep model of poor maternal nutrition (restricted- or over-feeding) during gestation, we found that poor maternal gestational nutrition does not affect semen characteristics (i.e. volume, sperm concentration, pH, sperm motility, sperm morphology) and scrotal circumference in offspring. However, by evaluating associations between poor maternal gestational nutrition and altered small non-cording RNAs (sncRNAs) and DNA methylation in offspring sperm, we demonstrated that poor maternal gestational nutrition alters sperm sncRNA composition and expression. Whole genome bisulfite sequencing further identified genomic regions with increased or decreased DNA methylation in sperm in response to poor maternal gestational nutrition. These findings imply that maternal diet-induced epigenetic errors can accumulate in sperm to worsen developmental outcomes of future generations.
2024-04-04 | GSE225985 | GEO
Project description:There is a growing body of evidence that inadequate maternal nutrition during gestation can have immediate and life-long effects on offspring. However, little is known about the reproductive effects of maternal gestational nutrition in offspring males. Here, using a sheep model of poor maternal nutrition (restricted- or over-feeding) during gestation, we found that poor maternal gestational nutrition does not affect semen characteristics (i.e. volume, sperm concentration, pH, sperm motility, sperm morphology) and scrotal circumference in offspring. However, by evaluating associations between poor maternal gestational nutrition and altered small non-cording RNAs (sncRNAs) and DNA methylation in offspring sperm, we demonstrated that poor maternal gestational nutrition alters sperm sncRNA composition and expression. Whole genome bisulfite sequencing further identified genomic regions with increased or decreased DNA methylation in sperm in response to poor maternal gestational nutrition. These findings imply that maternal diet-induced epigenetic errors can accumulate in sperm to worsen developmental outcomes of future generations.
2024-04-04 | GSE225924 | GEO