Evidence map›Paper›PMID 39045550›Full record

ArticleFrontiers in psychiatry2024

Baseline monocyte count predicts symptom improvement during intravenous ketamine therapy in treatment-resistant depression: a single-arm open-label observational study.

Bruno Pedraz-Petrozzi, Moritz Spangemacher, Anton Deicher, Lena Drews, Julie Defert, Ana Yaiza Silva-Colmenero, Paul Wein, Elena Riedinger, Gerhard Gründer, Maria Gilles and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Bruno Pedraz-PetrozziDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Moritz SpangemacherDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Anton DeicherDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Lena DrewsDepartment of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Julie DefertDepartment of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Ana Yaiza Silva-ColmeneroDepartment of Molecular Neuroimaging, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Paul WeinResearch Group Translational Imaging, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Elena RiedingerResearch Group Translational Imaging, Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Gerhard GründerGerman Centre for Mental Health (Deutsches Zentrum für Psychische Gesundheit, DZPG), Partner Site Heidelberg/Mannheim/Ulm, Mannheim, Germany.
Maria GillesDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Alexander SartoriusDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.
Jonathan R ReinwaldDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim - University of Heidelberg, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuroinflammatory processes in depression are associated with treatment resistance to conventional antidepressants. Ketamine is an effective new therapeutic option for treatment-resistant depression (TRD). Its well-established immunomodulatory properties are hypothesized to mediate its antidepressant effect. In this context, higher levels of inflammation may predict a better treatment response. However, conclusive evidence for this hypothesis is lacking. We thus investigated whether standard peripheral inflammatory cell markers and C-reactive protein (CRP) levels could predict symptom improvement during intravenous ketamine therapy in TRD patients. Methods: 27 participants with TRD were treated with six weight-adjusted intravenous ketamine infusions (0.5 mg/kg bodyweight) over three weeks. Baseline assessments included CRP, absolute monocyte count (AMC), and absolute neutrophil count (ANC). Depression severity was measured using the Montgomery-Åsberg Depression Rating Scale (MADRS) at baseline (D Results: 13 participants responded to ketamine treatment, and 8 participants partially responded. Baseline AMC showed a strong negative correlation with MADRS change at D Conclusions: Our prospective single-arm open-label observational study demonstrated that baseline AMC reliably predicted symptom improvement during intravenous ketamine treatment in TRD patients. AMC could therefore serve as a simple and easily accessible marker for symptom improvement during ketamine therapy in daily clinical practice. Future studies with larger sample sizes and a more detailed longitudinal assessment of AMC subtypes are needed to better understand the specific relationship between monocytes and the neuromodulatory effects of ketamine.

Indexed as

immunityinflammationketaminemonocyteneutrophilpredictiontreatment-resistant depressiontreatment response

Identifiers

PMID39045550
PMCPMC11265220

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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.