Evidence map›Paper›PMID 27602357›Full record

ArticleMolecular neuropsychiatry2015

NextGen Brain Microdialysis: Applying Modern Metabolomics Technology to the Analysis of Extracellular Fluid in the Central Nervous System.

Chi-Ya Kao, Elmira Anderzhanova, John M Asara, Carsten T Wotjak, Christoph W Turck

Open access · bronzeAbstract read
In one paragraph

Article in Molecular neuropsychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  11. The Role of Metabolomics in Brain Metabolism Research.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2015
    Article
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

5 authors at 3 institutions in 2 countries.

Chi-Ya KaoDepartments of Translational Research in Psychiatry, Munich, Germany; Graduate School of Systemic Neurosciences, Ludwig Maximilian University, Munich, Germany.
Elmira AnderzhanovaDepartments of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
John M AsaraDivision of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, Mass., USA; Department of Medicine, Harvard Medical School, Boston, Mass., USA.
Carsten T WotjakDepartments of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
Christoph W TurckDepartments of Translational Research in Psychiatry, Munich, Germany.
Hadassah Medical Center · ILMax Planck Institute of Psychiatry · DEMax Planck Research Unit for Neurogenetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microdialysis is a powerful method for in vivo neurochemical analyses. It allows fluid sampling in a dynamic manner in specific brain regions over an extended period of time. A particular focus has been the neurochemical analysis of extracellular fluids to explore central nervous system functions. Brain microdialysis recovers neurotransmitters, low-molecular-weight neuromodulators and neuropeptides of special interest when studying behavior and drug effects. Other small molecules, such as central metabolites, are typically not assessed despite their potential to yield important information related to brain metabolism and activity in selected brain regions. We have implemented a liquid chromatography online mass spectrometry metabolomics platform for an expanded analysis of mouse brain microdialysates. The method is sensitive and delivers information for a far greater number of analytes than commonly used electrochemical and fluorescent detection or biochemical assays. The metabolomics platform was applied to the analysis of microdialysates in a foot shock-induced mouse model of posttraumatic stress disorder (PTSD). The rich metabolite data information was then used to delineate affected prefrontal molecular pathways that reflect individual susceptibility for developing PTSD-like symptoms. We demonstrate that hypothesis-free metabolomics can be adapted to the analysis of microdialysates for the discovery of small molecules with functional significance.

Indexed as

BiomarkerMetabolite profilingMicrodialysisMolecular pathwaysPosttraumatic stress disorderStress susceptibility and resilience

Identifiers

PMID27602357
PMCPMC4996028
OpenAlexW2042927345

What OpenQuestion holds

Textmetadata
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.