Evidence map›Paper›PMID 27903845›Full record

ReviewInternational journal of immunopathology and pharmacology2017

Protein biomarkers of mood disorders.

Carmen Rodríguez Cerdeira, Elena Sánchez-Blanco, Beatriz Sánchez-Blanco, Jose Luis González-Cespón, Working Group of IISGS

Open access · hybridAbstract readReview
In one paragraph

Review in International journal of immunopathology and pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 10 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

5 authors at 3 institutions in 1 country.

Carmen Rodríguez Cerdeira1 Dermatology Service, Hospital do Meixoeiro and University of Vigo, Vigo, Spain.
Elena Sánchez-Blanco2 Conselleria de Educación. Xunta Galicia, Vigo, Spain.
Beatriz Sánchez-Blanco3 EOXI, Vigo, Spain.
Jose Luis González-Cespón4 Industrial Engineering Department, University of Vigo, Vigo, Spain.
Working Group of IISGS
Universidade de Vigo · ESUniversity Hospital Complex Of Vigo · ESXunta de Galicia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric evaluation presents a significant challenge because it conceptually integrates the input from multiple psychopathological approaches. Recent technological advances in the study of protein structure, function, and interactions have provided a breakthrough in the diagnosis and treatment of mood disorders (MD), and have identified novel biomarkers to be used as indicators of normal and disease states or response to drug treatment. The investigation of biomarkers for psychiatric disorders, such as enzymes (catechol-O-methyl transferase and monoamine oxidases) or neurotransmitters (dopamine, serotonin, norepinephrine) and their receptors, particularly their involvement in neuroendocrine activity, brain structure, and function, and response to psychotropic drugs, should facilitate the diagnosis of MD. In clinical settings, prognostic biomarkers may be revealed by analyzing serum, saliva, and/or the cerebrospinal fluid, which should promote timely diagnosis and personalized treatment. The mechanisms underlying the activity of most currently used drugs are based on the functional regulation of proteins, including receptors, enzymes, and metabolic factors. In this study, we analyzed recent advances in the identification of biomarkers for MD, which could be used for the timely diagnosis, treatment stratification, and prediction of clinical outcomes.

Indexed as

BiomarkersHumansMood DisordersProteomicsBiomarkersbiomarkercerebrospinal fluidmetabolomicsmood disorderproteomicssalivaserum

Identifiers

PMID27903845
PMCPMC5806783
OpenAlexW2559321938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.