Evidence map›Paper›PMID 28714074›Full record

ArticleEpilepsia2017

Altered metabolomic-genomic signature: A potential noninvasive biomarker of epilepsy.

Helen C Wu, Fabien Dachet, Farhad Ghoddoussi, Shruti Bagla, Darren Fuerst, Jeffrey A Stanley, Matthew P Galloway, Jeffrey A Loeb

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 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

8 authors at 2 institutions in 1 country.

Helen C WuDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A.
Fabien DachetDepartment of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A.
Farhad GhoddoussiDepartment of Anesthesiology and Neuroimaging Center, Wayne State University, Detroit, Michigan, U.S.A.
Shruti BaglaCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, U.S.A.
Darren FuerstDepartment of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A.
Jeffrey A StanleyDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A.
Matthew P GallowayDepartment of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A.
Jeffrey A LoebDepartment of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A.
Wayne State University · USUniversity of Illinois Chicago · US

Funding

Activity-Dependent Gene Expression in Human EpilepsyR01NS045207 · NINDS · WAYNE STATE UNIVERSITY · PI LOEB, JEFFREY A · 2003 to 2010
$2.1M
Electrical, Molecular and Clinical Correlates of Human Interictal SpikingR01NS058802 · NINDS · WAYNE STATE UNIVERSITY · PI LOEB, JEFFREY A · 2008 to 2012
$1.6M
MAPK Signaling in Neocortical EpilepsyR56NS083527 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LOEB, JEFFREY A · 2015 to 2015
$400k
NINDS NIH HHS R01 NS045207NINDS NIH HHS R01 NS058802NINDS NIH HHS R56 NS083527
6 · The paper itself

Abstract

objectiveThis study aimed to identify noninvasive biomarkers of human epilepsy that can reliably detect and localize epileptic brain regions. Having noninvasive biomarkers would greatly enhance patient diagnosis, patient monitoring, and novel therapy development. At the present time, only surgically invasive, direct brain recordings are capable of detecting these regions with precision, which severely limits the pace and scope of both clinical management and research progress in epilepsy.

methodsWe compared high versus low or nonspiking regions in nine medically intractable epilepsy surgery patients by performing integrated metabolomic-genomic-histological analyses of electrically mapped human cortical regions using high-resolution magic angle spinning proton magnetic resonance spectroscopy, cDNA microarrays, and histological analysis.

resultsWe found a highly consistent and predictive metabolite logistic regression model with reduced lactate and increased creatine plus phosphocreatine and choline, suggestive of a chronically altered metabolic state in epileptic brain regions. Linking gene expression, cellular, and histological differences to these key metabolites using a hierarchical clustering approach predicted altered metabolic vascular coupling in the affected regions. Consistently, these predictions were validated histologically, showing both neovascularization and newly discovered, millimeter-sized microlesions. SIGNIFICANCE: Using a systems biology approach on electrically mapped human cortex provides new evidence for spatially segregated, metabolic derangements in both neurovascular and synaptic architecture in human epileptic brain regions that could be a noninvasively detectable biomarker of epilepsy. These findings both highlight the immense power of a systems biology approach and identify a potentially important role that magnetic resonance spectroscopy can play in the research and clinical management of epilepsy.

Indexed as

MetabolomicsAdolescentBiomarkersBrainChildChild, PreschoolCholineCreatineEpilepsyFemaleGenetic MarkersHumansInfantLactic AcidMagnetic Resonance SpectroscopyMaleBiomarkersCholineCreatineGenetic MarkersLactic AcidPhosphocreatineEpilepsyHuman metabolite biomarkersInterictal spikesMagnetic resonance spectroscopy

Identifiers

PMID28714074
PMCPMC5910657
OpenAlexW2735805920

What OpenQuestion holds

Textmetadata
LicenceTDM
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.