Evidence map›Paper›PMID 37699900›Full record

ArticleTranslational psychiatry2023

Baseline levels of miR-223-3p correlate with the effectiveness of electroconvulsive therapy in patients with major depression.

Lalit Kaurani, Matthias Besse, Isabel Methfessel, Aditi Methi, Jiayin Zhou, Ranjit Pradhan, Susanne Burkhardt, Laura Kranaster, Alexander Sartorius, Ute Habel and 4 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.2field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 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

14 authors at 5 institutions in 2 countries.

Lalit KauraniDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany.ORCID http://orcid.org/0000-0002-2304-6111
Matthias BesseDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, 37075, Goettingen, Germany.
Isabel MethfesselDepartment of Psychiatry and Psychotherapy, University Medical Center Goettingen, 37075, Goettingen, Germany.
Aditi MethiDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany.
Jiayin ZhouDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany.
Ranjit PradhanDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany.
Susanne BurkhardtDepartment for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany.
Laura KranasterDepartment of Psychiatry, Vitos Klinikum Heppenheim, 64646, Heppenheim, Germany.ORCID http://orcid.org/0000-0002-8414-0910
Alexander SartoriusDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim and University of Heidelberg, 68159, Mannheim, Germany.ORCID http://orcid.org/0000-0002-1243-3693
Ute HabelDepartment of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074, Aachen, Germany.ORCID http://orcid.org/0000-0003-0703-7722
Michael GrözingerDepartment of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074, Aachen, Germany.ORCID http://orcid.org/0000-0001-8700-9646
Andre Fischer *Department for Epigenetics and Systems Medicine in Neurodegenerative Diseases, German Center for Neurodegenerative Diseases Goettingen, 37075, Goettingen, Germany. andre.fischer@dzne.de.ORCID http://orcid.org/0000-0001-8546-1161
Jens Wiltfang *Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, 37075, Goettingen, Germany. Jens.Wiltfang@med.uni-goettingen.de.ORCID http://orcid.org/0000-0003-1492-5330
David Zilles-Wegner *Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, 37075, Goettingen, Germany. david.zilles@med.uni-goettingen.de.ORCID http://orcid.org/0000-0002-7531-9732
German Center for Neurodegenerative Diseases · DERWTH Aachen University · DEHeidelberg University · DEUniversity of Göttingen · DEVitos · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a strong medical need to develop suitable biomarkers to improve the diagnosis and treatment of depression, particularly in predicting response to certain therapeutic approaches such as electroconvulsive therapy (ECT). MicroRNAs are small non-coding RNAs that have the ability to influence the transcriptome as well as proteostasis at the systems level. Here, we investigate the role of circulating microRNAs in depression and response prediction towards ECT. Of the 64 patients with treatment-resistant major depression (MDD) who received ECT treatment, 62.5% showed a response, defined as a reduction of ≥50% in the MADRS total score from baseline. We performed smallRNA sequencing in blood samples that were taken before the first ECT, after the first and the last ECT. The microRNAome was compared between responders and non-responders. Co-expression network analysis identified three significant microRNA modules with reverse correlation between ECT- responders and non-responders, that were amongst other biological processes linked to inflammation. A candidate microRNA, namely miR-223-3p was down-regulated in ECT responders when compared to non-responders at baseline. In line with data suggesting a role of miR-223-3p in inflammatory processes we observed higher expression levels of proinflammatory factors Il-6, Il-1b, Nlrp3 and Tnf-α in ECT responders at baseline when compared to non-responders. ROC analysis of confirmed the diagnostic power of miR-223-3p demarcating ECT-responders from non-responder subjects (AUC = 0.76, p = 0.0031). Our data suggest that miR-223-3p expression and related cytokine levels could serve as predictors of response to ECT in individuals with treatment-resistant depressive disorders.

Indexed as

Depressive Disorder, Treatment-ResistantElectroconvulsive TherapyMajor Depressive DisorderMicroRNAsDepressionHumansMicroRNAsMIR223, human

Identifiers

PMID37699900
PMCPMC10497550
OpenAlexW4386705506

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Registered trials

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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.