Evidence mapPaperPMID 25934103Full record

ReviewMolecular neurobiology2016

Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research.

Michael Maes, Gabriel Nowak, Javier R Caso, Juan Carlos Leza, Cai Song, Marta Kubera, Hans Klein, Piotr Galecki, Cristiano Noto, Enrico Glaab and 2 more

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-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

23 citing papers in PubMed, 47 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

12 authors at 10 institutions in 8 countries.

Michael MaesIMPACT Research Center, Deakin University, Geelong, Australia. dr.michaelmaes@hotmail.com.
Gabriel NowakDepartment of Pharmacobiology, Jagiellonian University Medical College, Medyczna 9, 30-688, Kraków, Poland.
Javier R CasoDepartment of Pharmacology, Faculty of Medicine, University Complutense, Centro de Investigación Biomédica en Salud Mental (CIBERSAM) & Instituto de Investigación Sanitaria Hospital 12 de Octubre, Madrid, Spain.
Juan Carlos LezaDepartment of Pharmacology, Faculty of Medicine, University Complutense, Centro de Investigación Biomédica en Salud Mental (CIBERSAM) & Instituto de Investigación Sanitaria Hospital 12 de Octubre, Madrid, Spain.
Cai SongDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, Canada.
Marta KuberaDepartment of Experimental Neuroendocrinology, Institute of Pharmacology, Polish Academy of Science, Krakow, Poland.
Hans KleinDepartment of Psychiatry, University of Groningen, Groningen, The Netherlands.
Piotr GaleckiDepartment of Adult Psychiatry, Medial University of Łódź, Łódź, Poland.
Cristiano NotoDepartment of Psychiatry, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Enrico GlaabLuxembourg Centre for Systems Biomedicine, University of Luxemburg, Esch-sur-Alzette, Luxembourg.
Rudi BallingLuxembourg Centre for Systems Biomedicine, University of Luxemburg, Esch-sur-Alzette, Luxembourg.
Michael BerkIMPACT Research Center, Deakin University, Geelong, Australia.
Centro de Investigación Biomédica en Red de Salud Mental · ESUniversity of Luxembourg · LUDalhousie University · CADeakin University · AUMaj Institute of Pharmacology · PLMedical University of Lodz · PLPolish Academy of Sciences · PLUniversidade Federal de São Paulo · BRUniversity of Groningen · NLUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analyses confirm that depression is accompanied by signs of inflammation including increased levels of acute phase proteins, e.g., C-reactive protein, and pro-inflammatory cytokines, e.g., interleukin-6. Supporting the translational significance of this, a meta-analysis showed that anti-inflammatory drugs may have antidepressant effects. Here, we argue that inflammation and depression research needs to get onto a new track. Firstly, the choice of inflammatory biomarkers in depression research was often too selective and did not consider the broader pathways. Secondly, although mild inflammatory responses are present in depression, other immune-related pathways cannot be disregarded as new drug targets, e.g., activation of cell-mediated immunity, oxidative and nitrosative stress (O&NS) pathways, autoimmune responses, bacterial translocation, and activation of the toll-like receptor and neuroprogressive pathways. Thirdly, anti-inflammatory treatments are sometimes used without full understanding of their effects on the broader pathways underpinning depression. Since many of the activated immune-inflammatory pathways in depression actually confer protection against an overzealous inflammatory response, targeting these pathways may result in unpredictable and unwanted results. Furthermore, this paper discusses the required improvements in research strategy, i.e., path and drug discovery processes, omics-based techniques, and systems biomedicine methodologies. Firstly, novel methods should be employed to examine the intracellular networks that control and modulate the immune, O&NS and neuroprogressive pathways using omics-based assays, including genomics, transcriptomics, proteomics, metabolomics, epigenomics, immunoproteomics and metagenomics. Secondly, systems biomedicine analyses are essential to unravel the complex interactions between these cellular networks, pathways, and the multifactorial trigger factors and to delineate new drug targets in the cellular networks or pathways. Drug discovery processes should delineate new drugs targeting the intracellular networks and immune-related pathways.

Indexed as

Biomedical ResearchGenomicsSystems BiologyAnimalsDepressionDrug DiscoveryHumansInflammationDepressionIDOImmuneInflammationLeaky gutNeuroprogressionOxidative and nitrosative stressTRYCATs

Identifiers

PMID25934103
OpenAlexW2031959289

What Socratic 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 Socratic graph.