Evidence map›Paper›PMID 33395505›Full record

ReviewEpilepsia2021

Molecular regulation of brain metabolism underlying circadian epilepsy.

Felix Chan, Judy Liu

Open access · greenAbstract readReview
In one paragraph

Review in Epilepsia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Felix ChanDepartment of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-4867-9636
Judy LiuDepartment of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, USA.ORCID 0000-0001-9272-9517
Brown University · US

Funding

The Circadian Molecular Clock is a Biomarker for Epilepsy in Focal Cortical DysplasiaR01NS104428 · NINDS · BROWN UNIVERSITY · PI LIU, JUDY SHIH-HWA · 2019 to 2022
$2.2M
NINDS NIH HHS R01 NS104428
6 · The paper itself

Abstract

Extensive study has demonstrated that epilepsy occurs with greater frequency at certain times in the 24-h cycle. Although these findings implicate an overlap between the circadian rhythm and epilepsy, the molecular and cellular mechanisms underlying this circadian regulation are poorly understood. Because the 24-h rhythm is generated by the circadian molecular system, it is not surprising that this system comprised of many circadian genes is implicated in epilepsy. We summarized evidence in the literature implicating various circadian genes such as Clock, Bmal1, Per1, Rev-erb⍺, and Ror⍺ in epilepsy. In various animal models of epilepsy, the circadian oscillation and the steady-state level of these genes are disrupted. The downstream pathway of these genes involves a large number of metabolic pathways associated with epilepsy. These pathways include pyridoxal metabolism, the mammalian target of rapamycin pathway, and the regulation of redox state. We propose that disruption of these metabolic pathways could mediate the circadian regulation of epilepsy. A greater understanding of the cellular and molecular mechanism of circadian regulation of epilepsy would enable us to precisely target the circadian disruption in epilepsy for a novel therapeutic approach.

Indexed as

AnimalsAnticonvulsantsBrainCircadian RhythmCLOCK ProteinsEnergy MetabolismEpilepsyHumansRNA, MessengerAnticonvulsantsCLOCK ProteinsRNA, Messengercircadianclock genesepigeneticepilepsymetabolism

Identifiers

PMID33395505
PMCPMC8744084
OpenAlexW3120551717

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.