bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.09.03.748596

Sexual dimorphism of autism-like phenotypes in microglial eIF4E overexpression mice

Abstract

Background: Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders characterized by deficits in social communication and interaction, and restricted interests or repetitive behaviors. ASD is approximately four times more prevalent in males than in females. In this study, we investigated whether sex hormones or sex chromosomes underlie the male bias in ASD susceptibility. Methods: We used the MG4E mouse model, in which microglial eIF4E overexpression produces robust male-biased ASD-like phenotypes. To distinguish the contributions of sex hormones and sex chromosomes, MG4E mice were crossed with four-core-genotype (FCG) mice carrying Sry gene manipulations, generating eight genotypes of experimental mice. Social interaction and repetitive behaviors were assessed using standard behavioral assays. Dendritic spine density was quantified in Thy1-GFP mice. Expression of estrogen receptors (ERs) and androgen receptor (AR) was examined in microglia isolated from control and MG4E mice. Results: Sex hormones, rather than non-Sry genes on sex chromosomes, are responsible for the male-biased deficits in social interaction and the increase in dendritic spine density. At postnatal day 14, ERs were undetectable in microglia, whereas ER expression was readily detected in neurons. Conclusions: These findings demonstrate that sex hormones are a major determinant of the increased susceptibility of males to ASD-like phenotypes in MG4E mice. The absence of ER expression in microglia suggests that sex hormones may act indirectly through hormone-responsive neurons to regulate microglia-neuron interactions during neurodevelopment.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Niu, C., An, J. J., Masterson, H. V., Xu, B.. 2026-09-07. Sexual dimorphism of autism-like phenotypes in microglial eIF4E overexpression mice. https://doi.org/10.64898/2026.09.03.748596

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗