Evidence map›Paper›PMID 22304330›Full record

ReviewJournal of cellular and molecular medicine2012

Potential biomarkers in psychiatry: focus on the cholesterol system.

Alisa G Woods, Izabela Sokolowska, Regina Taurines, Manfred Gerlach, Edward Dudley, Johannes Thome, Costel C Darie

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
14.4field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  8. Apolipoprotein D as a Potential Biomarker in Neuropsychiatric Disorders.International journal of molecular sciences · 2023
    Review
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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

7 authors at 4 institutions in 3 countries.

Alisa G WoodsDepartment of Chemistry & Biomolecular Science, Biochemistry & Proteomics Group, Clarkson University, Potsdam, NY 13699, USA. awoods@clarkson.edu
Izabela Sokolowska
Regina Taurines
Manfred Gerlach
Edward Dudley
Johannes Thome
Costel C Darie
Clarkson University · USUniversity of Würzburg · DESwansea University · GBUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring biomarkers to identify and assess illness is a strategy growing in popularity and relevance. Although already in clinical use for treating and predicting cancer, no biological measurement is used clinically for any psychiatric disorder. Biomarkers could predict the course of a medical problem, and aid in determining how and when to treat. Several studies have indicated that of candidate psychiatric biomarkers detected using proteomic techniques, cholesterol and associated proteins, specifically apolipoproteins (Apos), may be of interest. Cholesterol is necessary for brain development and its synthesis continues at a lower rate in the adult brain. Apos are the protein component of lipoproteins responsible for lipid transport. There is extensive evidence that the levels of cholesterol and Apos may be disturbed in psychiatric disorders, including autistic spectrum disorders (ASD). Here, we describe putative serum biomarkers for psychiatric disorders, and the role of cholesterol and Apos in central nervous system (CNS) disorders.

Indexed as

Alzheimer DiseaseApolipoproteinsAutistic DisorderBiomarkersBrainCholesterolDietHumansMental DisordersProteomicsPsychiatrySchizophreniaSpectrometry, Mass, Electrospray IonizationApolipoproteinsBiomarkersCholesterol

Identifiers

PMID22304330
PMCPMC3823072
OpenAlexW2094673786

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.