bioRxivNeurosciencePreprint
Narcolepsy with cataplexy is caused by epigenetic silencing of hypocretin neurons
Ali SeifinejadiD, Almar NeiteleriD, Sha LiiD, Corinne PfisteriD, Rolf FronczekiD, Ling ShaniD, Lee Ann Garrett‐SinhaiD, David FrieseriD, Makoto HondaiD, Yoan ArribatiD, Dogan GrepperiD, Francesca AmatiiD, Marie PicotiD, Christian IseliiD, Nicolas ChartreliD, Gert Jan LammersiD, Roland LiblauiD, Anne VassalliiD, Mehdi TaftiiD
Abstract
Narcolepsy with cataplexy is a chronic sleep disorder characterized by hypocretin deficiency. The condition is believed to result from autoimmune destruction of hypocretin (HCRT) neurons, although direct evidence is lacking and mere Hcrt gene inactivation causes full-blown narcolepsy in mice. Here we show that the expression of another hypothalamic neuropeptide, QRFP, is lost in mouse models with HCRT cell-ablation, but tends to be even increased in Hcrt gene knockout mice, suggesting that QRFP expression can be used as a proxy for the presence or absence of HCRT neurons. Similar to Hcrt knockout mice, narcolepsy patients show intact hypothalamic QRFP expression, and cerebrospinal fluid levels of QRFP peptide are increased, suggesting their HCRT neurons are intact. We show that the human HCRT gene promoter is methylation-sensitive in vitro, and is hypermethylated in the hypothalamus of patients selectively at a putative PAX5:ETS1 binding site within the proximal HCRT promoter. Ets1-KO mice display downregulated Hcrt expression, while pax5-ets1 knockdown in zebrafish causes decreased hcrt expression, decreased activity and sleep fragmentation, similar to narcolepsy patients. Our results suggest that HCRT neurons are alive, but epigenetically silenced, in the hypothalamus of narcolepsy patients, opening the possibility to reverse or cure narcolepsy.
- organism: mouse
- organism: zebrafish
- organism: human
- assay: DNA methylation
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 9
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