Transcriptional and epigenetic targets of MEF2C in human microglia contribute to cellular functions related to autism risk and age-related disease

MEF2C encodes a transcription factor that is critical in nervous system development. Here, to examine disease-associated functions of MEF2C in human microglia, we profiled microglia differentiated from isogenic MEF2C-haploinsufficient and MEF2C-knockout induced pluripotent stem cell lines. Complementary transcriptomic and functional analyses revealed that loss of MEF2C led to a hyperinflammatory phenotype with broad phagocytic impairment, lipid accumulation, lysosomal dysfunction and elevated basal inflammatory cytokine secretion. Genome-wide profiling of MEF2C-bound sites coupled with the active regulatory landscape enabled inference of its transcriptional functions and potential mechanisms for MEF2C-associated cellular functions. Transcriptomic and epigenetic approaches identified substantial overlap with idiopathic autism datasets, suggesting a broader role of human microglial MEF2C dysregulation in idiopathic autism. In a mouse xenotransplantation model, loss of MEF2C led to morphological, lysosomal and lipid abnormalities in human microglia in vivo. Together, these studies reveal mechanisms by which reduced microglial MEF2C could contribute to the development of neurological diseases.

Authors

Institutions

Publication Details

Journal
Nature Immunology
Published
2025-10-22
DOI
https://doi.org/10.1038/s41590-025-02299-0
Citations
7
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
5.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptional and epigenetic targets of MEF2C in human microglia contribute to cellular functions related to autism risk and age-related disease

Samantha Trescott, Mohammadparsa Khakpour, Gabriela Ramírez, Marie‐Ève Tremblay et al.
7 citations
Nature Immunology
Neuroinflammation and Neurodegeneration Mechanisms
5.90
article

Transcriptional and epigenetic targets of MEF2C in human microglia contribute to cellular functions related to autism risk and age-related disease

Samantha Trescott, Mohammadparsa Khakpour, Gabriela Ramírez, Marie‐Ève Tremblay, Fatir Qureshi, Christopher K. Glass, Anna S. Warden, Nathanael J. Spann, Avalon Johnson, Celina T. Nguyen, Michael E. Talkowski, Jing Wang, Sht Mak, Nicole G. Coufal, Kiana Mohajeri, Michael R. La Frano, Olivia Corradin, Claudia Z. Han, Zahara Keulen, Cristina Mora, Emily H. Broersma
article en
7 citations

Abstract

MEF2C encodes a transcription factor that is critical in nervous system development. Here, to examine disease-associated functions of MEF2C in human microglia, we profiled microglia differentiated from isogenic MEF2C-haploinsufficient and MEF2C-knockout induced pluripotent stem cell lines. Complementary transcriptomic and functional analyses revealed that loss of MEF2C led to a hyperinflammatory phenotype with broad phagocytic impairment, lipid accumulation, lysosomal dysfunction and elevated basal inflammatory cytokine secretion. Genome-wide profiling of MEF2C-bound sites coupled with the active regulatory landscape enabled inference of its transcriptional functions and potential mechanisms for MEF2C-associated cellular functions. Transcriptomic and epigenetic approaches identified substantial overlap with idiopathic autism datasets, suggesting a broader role of human microglial MEF2C dysregulation in idiopathic autism. In a mouse xenotransplantation model, loss of MEF2C led to morphological, lysosomal and lipid abnormalities in human microglia in vivo. Together, these studies reveal mechanisms by which reduced microglial MEF2C could contribute to the development of neurological diseases.

Nature ImmunologyVol. 26(11)
Salk Institute for Biological Studies (US), Harvard University (US), University of Victoria (CA), UC San Diego Health System (US), University of California San Diego (US), Massachusetts General Hospital (US), Sanford Consortium for Regenerative Medicine (US), Whitehead Institute for Biomedical Research (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 4%
Neuroinflammation and Neurodegeneration Mechanisms
5.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.