Evidence map›Paper›PMID 27483380›Full record

ArticleTranslational psychiatry2016

MicroRNAs as biomarkers for major depression: a role for let-7b and let-7c.

A Gururajan, M E Naughton, K A Scott, R M O'Connor, G Moloney, G Clarke, J Dowling, A Walsh, F Ismail, G Shorten and 4 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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

76 citing papers in PubMed, 3 syntheses or guidelines pooled it, 145 citations in OpenAlex.

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  16. Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
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16 more citing papers are in PubMed but not listed here.

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

14 authors at 2 institutions in 1 country.

A GururajanDepartment of Anatomy and Neuroscience, University College Cork, Cork, Ireland.
M E NaughtonDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland.
K A ScottAPC Microbiome Institute, University College Cork, Cork, Ireland.
R M O'ConnorDepartment of Anatomy and Neuroscience, University College Cork, Cork, Ireland.
G MoloneyDepartment of Anatomy and Neuroscience, University College Cork, Cork, Ireland.
G ClarkeDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland.
J DowlingDepartment of Anaesthesia and Intensive Care Medicine, University College Cork, Cork, Ireland.
A WalshDepartment of Anaesthesia and Intensive Care Medicine, University College Cork, Cork, Ireland.
F IsmailDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland.ORCID 0000-0002-7019-2146
G ShortenDepartment of Anaesthesia and Intensive Care Medicine, University College Cork, Cork, Ireland.
L ScottDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland.
D M McLoughlinSt Patrick's University Hospital, Dublin, Ireland.
J F CryanDepartment of Anatomy and Neuroscience, University College Cork, Cork, Ireland.
T G DinanDepartment of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland.
University College Cork · IETrinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing emphasis in the field of psychiatry on the need to identify candidate biomarkers to aid in diagnosis and clinical management of depression, particularly with respect to predicting response to specific therapeutic strategies. MicroRNAs are small nucleotide sequences with the ability to regulate gene expression at the transcriptomic level and emerging evidence from a range of studies has highlighted their biomarker potential. Here we compared healthy controls (n=20) with patients diagnosed with major depression (n=40) and who were treatment-resistant to identify peripheral microRNA biomarkers, which could be used for diagnosis and to predict response to electroconvulsive therapy (ECT) and ketamine (KET) infusions, treatments that have previously shown to be effective in treatment-resistant depression (TRD). At baseline and after treatment, blood samples were taken and symptom severity scores rated using the Hamilton Depression Rating Scale (HDRS). Samples were analyzed for microRNA expression using microarray and validated using quantitative PCR. As expected, both treatments reduced HDRS scores. Compared with controls, the baseline expression of the microRNA let-7b was less by ~40% in TRD patients compared with controls. The baseline expression of let-7c was also lower by ~50% in TRD patients who received ECT. Bioinformatic analysis revealed that let-7b and let-7c regulates the expression of 27 genes in the PI3k-Akt-mTOR signaling pathway, which has previously been reported to be dysfunctional in depression. The expression of miR-16, miR-182, miR-451 and miR-223 were similar to that in controls. Baseline microRNA expression could not predict treatment response and microRNAs were unaffected by treatment. Taken together, we have identified let-7b and let-7c as candidate biomarkers of major depression.

Indexed as

AdultBiomarkersCase-Control StudiesDepressive Disorder, Treatment-ResistantElectroconvulsive TherapyExcitatory Amino Acid AntagonistsFemaleGene Expression RegulationHumansInfusions, IntravenousKetamineMajor Depressive DisorderMaleMicroarray AnalysisMicroRNAsMiddle AgedBiomarkersExcitatory Amino Acid AntagonistsKetamineMicroRNAsmirnlet7 microRNA, humanMTOR protein, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTOR Serine-Threonine Kinases

Identifiers

PMID27483380
PMCPMC5022079
OpenAlexW2487122696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.