24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice

Mutations in the X-linked gene encoding methyl-CpG-binding protein 2 (Mecp2) cause most cases of Rett syndrome (RTT). Currently there is no cure for RTT. Abnormal EEGs are found in 100% of RTT cases and are associated with severe sleep dysfunction, the cause of which is not well understood. Mice def...

Full description

Bibliographic Details
Main Authors: Michael V Johnston, Simon eAmmanuel, Cliona eODriscoll, Amy eWozniak, Sakkubai eNaidu, Shilpa Dattatray Kadam
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-06-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00118/full
_version_ 1811292021222014976
author Michael V Johnston
Simon eAmmanuel
Cliona eODriscoll
Amy eWozniak
Sakkubai eNaidu
Shilpa Dattatray Kadam
author_facet Michael V Johnston
Simon eAmmanuel
Cliona eODriscoll
Amy eWozniak
Sakkubai eNaidu
Shilpa Dattatray Kadam
author_sort Michael V Johnston
collection DOAJ
description Mutations in the X-linked gene encoding methyl-CpG-binding protein 2 (Mecp2) cause most cases of Rett syndrome (RTT). Currently there is no cure for RTT. Abnormal EEGs are found in 100% of RTT cases and are associated with severe sleep dysfunction, the cause of which is not well understood. Mice deficient in MeCP2 protein have been studied and characterized for their neuropathological and behavioral deficits to better understand RTT. With the goal to study the non-ictal EEG correlates in symptomatic Mecp2 KO mice (Mecp2tm1.1Bird/y), and determine novel EEG biomarkers of their reported progressive neurodegeneration, we used 24h video-EEG/EMG with synchronous in-vivo cortical glutamate biosensor in the frontal cortex. We scored the EEG for activity states and spectral analysis was performed to evaluate correlations to the synchronous extracellular glutamate fluctuations underlying Mecp2 inactivation as compared to WT. Significant alterations in sleep structure due to dark cycle specific long wake states and poor quality of slow-wave sleep were associated with a significant increase in glutamate loads per activity cycle. The dynamics of the activity-state-dependent physiological rise and fall of glutamate indicative of glutamate homeostasis was significantly altered in the KO mice. Colorimetric quantitation of absolute glutamate levels in frontal cortex also indicated the presence of significantly higher levels in KO. This study for the first time found evidence of uncompensated sleep deprivation-like EEG biomarkers that were associated with glutamate homeostatic dysfunction in the Mecp2 KO mice.
first_indexed 2024-04-13T04:39:07Z
format Article
id doaj.art-d177d492248842d3ad955ecc1a68b48c
institution Directory Open Access Journal
issn 1662-5137
language English
last_indexed 2024-04-13T04:39:07Z
publishDate 2014-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Systems Neuroscience
spelling doaj.art-d177d492248842d3ad955ecc1a68b48c2022-12-22T03:02:05ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372014-06-01810.3389/fnsys.2014.001189655724h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null miceMichael V Johnston0Simon eAmmanuel1Cliona eODriscoll2Amy eWozniak3Sakkubai eNaidu4Shilpa Dattatray Kadam5Kennedy Krieger Institute and Johns Hopkins University School of MedicineKennedy Krieger InstituteKennedy Krieger InstituteJohns Hopkins Public School of HealthKennedy Krieger Institute and Johns Hopkins University School of MedicineKennedy Krieger Institute and Johns Hopkins University School of MedicineMutations in the X-linked gene encoding methyl-CpG-binding protein 2 (Mecp2) cause most cases of Rett syndrome (RTT). Currently there is no cure for RTT. Abnormal EEGs are found in 100% of RTT cases and are associated with severe sleep dysfunction, the cause of which is not well understood. Mice deficient in MeCP2 protein have been studied and characterized for their neuropathological and behavioral deficits to better understand RTT. With the goal to study the non-ictal EEG correlates in symptomatic Mecp2 KO mice (Mecp2tm1.1Bird/y), and determine novel EEG biomarkers of their reported progressive neurodegeneration, we used 24h video-EEG/EMG with synchronous in-vivo cortical glutamate biosensor in the frontal cortex. We scored the EEG for activity states and spectral analysis was performed to evaluate correlations to the synchronous extracellular glutamate fluctuations underlying Mecp2 inactivation as compared to WT. Significant alterations in sleep structure due to dark cycle specific long wake states and poor quality of slow-wave sleep were associated with a significant increase in glutamate loads per activity cycle. The dynamics of the activity-state-dependent physiological rise and fall of glutamate indicative of glutamate homeostasis was significantly altered in the KO mice. Colorimetric quantitation of absolute glutamate levels in frontal cortex also indicated the presence of significantly higher levels in KO. This study for the first time found evidence of uncompensated sleep deprivation-like EEG biomarkers that were associated with glutamate homeostatic dysfunction in the Mecp2 KO mice.http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00118/fullRett SyndromeGlutamateMeCP2biomarkersSleep structure
spellingShingle Michael V Johnston
Simon eAmmanuel
Cliona eODriscoll
Amy eWozniak
Sakkubai eNaidu
Shilpa Dattatray Kadam
24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
Frontiers in Systems Neuroscience
Rett Syndrome
Glutamate
MeCP2
biomarkers
Sleep structure
title 24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
title_full 24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
title_fullStr 24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
title_full_unstemmed 24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
title_short 24h Quantitative-EEG and in-vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in Mecp2 null mice
title_sort 24h quantitative eeg and in vivo glutamate biosensor detects activity and circadian rhythm dependent biomarkers of pathogenesis in mecp2 null mice
topic Rett Syndrome
Glutamate
MeCP2
biomarkers
Sleep structure
url http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00118/full
work_keys_str_mv AT michaelvjohnston 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice
AT simoneammanuel 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice
AT clionaeodriscoll 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice
AT amyewozniak 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice
AT sakkubaienaidu 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice
AT shilpadattatraykadam 24hquantitativeeegandinvivoglutamatebiosensordetectsactivityandcircadianrhythmdependentbiomarkersofpathogenesisinmecp2nullmice