Evidence map›Paper›PMID 25408899›Full record

ReviewJournal of molecular psychiatry2013

Mass spectrometry as a tool for studying autism spectrum disorder.

Alisa G Woods, Armand G Ngounou Wetie, Izabela Sokolowska, Stefanie Russell, Jeanne P Ryan, Tanja Maria Michel, Johannes Thome, Costel C Darie

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of molecular psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The potential of biomarkers in psychiatry: focus on proteomics.Journal of neural transmission (Vienna, Austria : 1996) · 2015
    Review
  6. Review
  7. 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

8 authors at 3 institutions in 3 countries.

Alisa G WoodsBiochemistry and Proteomics Group Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA.
Armand G Ngounou WetieBiochemistry and Proteomics Group Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA.
Izabela SokolowskaBiochemistry and Proteomics Group Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA.
Stefanie RussellDepartment of Psychology, State University of New York at Plattsburgh, 101 Broad Street, Plattsburgh, NY 12901 USA.
Jeanne P RyanDepartment of Psychology, State University of New York at Plattsburgh, 101 Broad Street, Plattsburgh, NY 12901 USA.
Tanja Maria MichelDepartment of Psychiatry, University of Rostock, Gehlsheimer Straße 20, D-18147 Rostock, Germany.
Johannes ThomeDepartment of Psychiatry, University of Rostock, Gehlsheimer Straße 20, D-18147 Rostock, Germany ; College of Medicine, Swansea University, Singleton Park, Swansea, SA2 8PP UK.
Costel C DarieBiochemistry and Proteomics Group Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA.
Clarkson University · USSUNY Plattsburgh · USUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorders (ASDs) are increasing in incidence but have an incompletely understood etiology. Tools for uncovering clues to the cause of ASDs and means for diagnoses are valuable to the field. Mass Spectrometry (MS) has been a useful method for evaluating differences between individuals with ASDs versus matched controls. Different biological substances can be evaluated using MS, including urine, blood, saliva, and hair. This technique has been used to evaluate relatively unsupported hypotheses based on introduction of exogenous factors, such as opiate and heavy metal excretion theories of ASDs. MS has also been used to support disturbances in serotonin-related molecules, which have been more consistently observed in ASDs. Serotonergic system markers, markers for oxidative stress, cholesterol system disturbances, peptide hypo-phosphorylation and methylation have been measured using MS in ASDs, although further analyses with larger numbers of subjects are needed (as well as consideration of behavioral data). Refinements in MS and data analysis are ongoing, allowing for the possibility that future studies examining body fluids and specimens from ASD subjects could continue to yield novel insights. This review summarizes MS investigations that have been conducted to study ASD to date and provides insight into future promising applications for this technique, with focus on proteomic studies.

Indexed as

Autism spectrum disorderMass spectrometryProtein biomarkersProteomics

Identifiers

PMID25408899
PMCPMC4223881
OpenAlexW2124231617

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.