Evidence map›Paper›PMID 22169944›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2012

Cerebrospinal fluid biomarkers for major depression confirm relevance of associated pathophysiology.

Claudia Ditzen, Ning Tang, Archana M Jastorff, Larysa Teplytska, Alexander Yassouridis, Giuseppina Maccarrone, Manfred Uhr, Thomas Bronisch, Christine A Miller, Florian Holsboer and 1 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

45 citing papers in PubMed, 103 citations in OpenAlex.

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  14. Are Mannan-binding Lectine Serin Protease-2 and Alpha-1-microglobulin and Bukinin Precursor the Potential Biomarkers of Manic Episode? A Study via Urinary Proetomic Analysis.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
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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

11 authors at 3 institutions in 2 countries.

Claudia DitzenMax Planck Institute of Psychiatry, Munich, Germany. ditzen@mpipsykl.mpg.de
Ning Tang
Archana M Jastorff
Larysa Teplytska
Alexander Yassouridis
Giuseppina Maccarrone
Manfred Uhr
Thomas Bronisch
Christine A Miller
Florian Holsboer
Christoph W Turck
Max Planck Society · DEAgilent Technologies (United States) · USMax Planck Institute of Psychiatry · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individual characteristics of pathophysiology and course of depressive episodes are at present not considered in diagnostics. There are no biological markers available that can assist in categorizing subtypes of depression and detecting molecular variances related to disease-causing mechanisms between depressed patients. Identification of such differences is important to create patient subgroups, which will benefit from medications that specifically target the pathophysiology underlying their clinical condition. To detect characteristic biological markers for major depression, we analyzed the cerebrospinal fluid (CSF) proteome of depressed vs control persons, using two-dimensional polyacrylamide gel electrophoresis and time-of-flight (TOF) mass spectrometry peptide profiling. Proteins of interest were identified by matrix-assisted laser desorption ionization TOF mass spectrometry (MALDI-TOF-MS). Validation of protein markers was performed by immunoblotting. We found 11 proteins and 144 peptide features that differed significantly between CSF from depressed patients and controls. In addition, we detected differences in the phosphorylation pattern of several CSF proteins. A subset of the differentially expressed proteins implicated in brain metabolism or central nervous system disease was validated by immunoblotting. The identified proteins are involved in neuroprotection and neuronal development, sleep regulation, and amyloid plaque deposition in the aging brain. This is one of the first hypothesis-free studies that identify characteristic protein expression differences in CSF of depressed patients. Proteomic approaches represent a powerful tool for the identification of disease markers for subgroups of patients with major depression.

Indexed as

AdultAgedBiomarkersFemaleHumansMajor Depressive DisorderMaleMiddle AgedNerve Tissue ProteinsBiomarkersNerve Tissue Proteins

Identifiers

PMID22169944
PMCPMC3280652
OpenAlexW2041444232

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.