Evidence map›Paper›PMID 33834401›Full record

ArticleAdvances in experimental medicine and biology2021

A Load to Find Clinically Useful Biomarkers for Depression.

Matea Nikolac Perkovic, Marina Sagud, Lucija Tudor, Marcela Konjevod, Dubravka Svob Strac, Nela Pivac

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Article in Advances in experimental medicine and biology, 2021. 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
3.5field-weighted citation impact, top 6% 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, 8 citations in OpenAlex.

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  4. 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

6 authors at 2 institutions in 1 country.

Matea Nikolac PerkovicDivision of Molecular Medicine, Laboratory for Molecular Neuropsychiatry, Rudjer Boskovic Institute, Zagreb, Croatia.
Marina SagudUniversity of Zagreb School of Medicine, Zagreb, Croatia.
Lucija TudorDivision of Molecular Medicine, Laboratory for Molecular Neuropsychiatry, Rudjer Boskovic Institute, Zagreb, Croatia.
Marcela KonjevodDivision of Molecular Medicine, Laboratory for Molecular Neuropsychiatry, Rudjer Boskovic Institute, Zagreb, Croatia.
Dubravka Svob StracDivision of Molecular Medicine, Laboratory for Molecular Neuropsychiatry, Rudjer Boskovic Institute, Zagreb, Croatia.
Nela PivacDivision of Molecular Medicine, Laboratory for Molecular Neuropsychiatry, Rudjer Boskovic Institute, Zagreb, Croatia. npivac@irb.hr.
Rudjer Boskovic Institute · HRUniversity Hospital Centre Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is heterogeneous and complex disease with diverse symptoms. Its neurobiological underpinning is still not completely understood. For now, there are still no validated, easy obtainable, clinically useful noninvasive biomarker(s) or biomarker panel that will be able to confirm a diagnosis of depression, its subtypes and improve diagnostic procedures. Future multimodal preclinical and clinical research that involves (epi)genetic, molecular, cellular, imaging, and other studies is necessary to advance our understanding of the role of monoamines, GABA, HPA axis, neurotrophins, metabolome, and glycome in the pathogenesis of depression and their potential as diagnostic, prognostic, and treatment response biomarkers. These studies should be focused to include the first-episode depression and antidepressant drug-naïve patients with large sample sizes to reduce variability in different biological and clinical parameters. At present, metabolomics study revealed with high precision that a neurometabolite panel consisting of plasma metabolite biomarkers (GABA, dopamine, tyramine, kynurenine) might represent clinically useful biomarkers of MDD.

Indexed as

Hypothalamo-Hypophyseal SystemMajor Depressive DisorderBiomarkersDepressionHumansPituitary-Adrenal SystemBiomarkersBDNFBiomarkersDepressionDopamineGABAGlycomicsHPA axisMetabolomicsNorepinephrineSerotonin

Identifiers

PMID33834401
OpenAlexW3148864048

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.