Reversing Pathophysiology in Fragile X Syndrome Mice by Promoting PGC-1α and Mitochondrial Functions
Acharya, A.; Kumar, V.; Lee, K. Y.; Babik, M. S.; Goswami, G.; Boateng, K. A.; Cyphersmith, A. J.; Rhodes, J. S.; Tsai, N.-P.
Show abstract
Fragile X syndrome (FXS) is the leading cause of intellectual disabilities and autism, but a disease-modifying strategy remains unavailable. Recent studies have suggested reduced mitochondrial functions in FXS. However, the mechanisms underlying mitochondrial defects and their impact on FXS pathophysiology remain largely unclear. Here, we reveal a reduction in the mitochondrial master regulator peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1) in the mouse model of FXS, the Fmr1 knockout (KO) mice. We show that this impairment is caused by the inactivity of the transcription factor cAMP-response element-binding protein (CREB) in Fmr1 KO mice. Using the small molecule ZLN005, which induces AMP-activated protein kinase (AMPK)- and CREB-dependent elevation of PGC-1 in Fmr1 KO mice, we observed significantly increased mitochondrial functions and dynamics in cultured neurons in vitro and in the hippocampus in vivo. Furthermore, ZLN005 elicited a wide range of beneficial effects in Fmr1 KO mice, including enhanced inhibitory synaptic transmission, reduced circuit hyperexcitability, improved hippocampal synaptic plasticity, reduced cortical gamma-band oscillations, and improved interhemispheric coherence. Most importantly, we observed improved cognition and reduced autism-like behaviors in ZLN005-treated Fmr1 KO mice. Together, our findings identify AMPK-CREB signaling and PGC-1 as promising and selective therapeutic targets for FXS and reveal the broad impact of restoring PGC-1 on FXS pathophysiology. One Sentence SummaryPromoting PGC-1 Reverses FXS Pathophysiology.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Oxytocin administration in neonates shapes the hippocampal circuitry and restores social behavior in a mouse model of autism. 96%
- Tbx1, a 22q11.2-encoded gene, is a link between alterations in fimbria myelination and cognitive speed in mice 96%
- Dysregulation of Neuropilin-2 Expression in Inhibitory Neurons Impairs Hippocampal Circuit Development Leading to Autism-Epilepsy Phenotype 96%
Similar papers in this journal
- Loss of Zmiz1 in mice leads to impaired cortical development and autistic-like behaviors 95%
- Alterations in retrotransposition, synaptic connectivity, and myelination implicated by transcriptomic changes following maternal immune activation in non-human primates 95%
- Deficient Memory, Long-Term Potentiation and Hippocampal Synaptic Plasticity in Galectin-4-Deficient Mice 95%
Similar papers in this journal
- Astrocytic TDP-43 dysregulation impairs memory by modulating antiviral pathways and interferon-inducible chemokines 96%
- KAT6A deficiency impairs cognitive functions through suppressing RSPO2/Wnt signaling in hippocampal CA3 95%
- Bidirectional Regulation of Motor Circuits Using Magnetogenetic Gene Therapy 95%
Similar papers in this journal
- Heterozygosity for neurodevelopmental disorder-associated TRIO variants yields distinct deficits in behavior, neuronal development, and synaptic transmission in mice. 96%
- KIF2C regulates synaptic plasticity and cognition by mediating dynamic microtubule invasion of dendritic spines 96%
- An antisense oligonucleotide-based strategy to ameliorate cognitive dysfunction in the 22q11.2 Deletion Syndrome 95%
Similar papers in this journal
- The autism-associated loss of δ-catenin functions disrupts social behaviors 96%
- microRNA-218-5p Coordinates Scaling of Excitatory and Inhibitory Synapses during Homeostatic Synaptic Plasticity 96%
- A Kalirin Missense Mutation Enhances Dendritic RhoA Signaling and Leads to Regression of Cortical Dendritic Arbors Across Development 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.