Evidence map›Paper›PMID 42768091›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

Modulation of GABA and glutamate by ketamine in depression: A systematic review and meta-analysis of magnetic resonance spectroscopy studies.

Balwinder Singh, Hossam M Ali, Alessandro Miola, Nicolas A Nunez, Manoela V Fogaça, Luke A Jelen, Larry J Prokop, Gerard Sanacora, Carlos A Zarate, Mark A Frye and 1 more

Abstract read
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Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Balwinder SinghDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, 55905, USA. singh.balwinder@mayo.edu.ORCID http://orcid.org/0000-0001-7062-8192
Hossam M AliDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, 55905, USA.ORCID http://orcid.org/0009-0006-3778-5499
Alessandro MiolaDepartment of Neuroscience, University of Padova, Padua, 35122, Italy.
Nicolas A NunezDepartment of Psychiatry, University of Utah, Salt Lake City, UT, 84108, USA.
Manoela V FogaçaDepartment of Pharmacology and Physiology, and Department of Neuroscience, University of Rochester Medical Center, Rochester, New York, 14642, NY, USA.ORCID http://orcid.org/0000-0003-4212-7424
Luke A JelenInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0001-6398-5239
Larry J ProkopMayo Medical Libraries, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Gerard SanacoraDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.ORCID http://orcid.org/0000-0003-3722-8829
Carlos A ZarateExperimental Therapeutics and Pathophysiology Branch, Section on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, Bethesda, MD, 20894, USA.
Mark A FryeDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, 55905, USA.ORCID http://orcid.org/0000-0001-6997-4215
John D PortDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, 55905, USA.ORCID http://orcid.org/0000-0002-4237-7776

Funding

Institutional Career Development CoreKL2TR002379 · NCATS · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2017 to 2026
$14.9M
NCATS NIH HHS KL2 TR002379
6 · The paper itself

Abstract

Disrupted excitation-inhibition (E/I) balance involving GABA and glutamate (Glu) is implicated in the pathophysiology of depression. Ketamine, an NMDA receptor antagonist with rapid antidepressant properties, may modulate this balance, yet proton magnetic resonance spectroscopy (¹H-MRS) studies report inconsistent findings regarding the direction, magnitude, and timing of neurochemical effects. Static ¹H-MRS metabolite concentrations, however, do not directly index neuronal excitation or inhibition; the E=Glx/Glu and I = GABA framework adopted here, as used commonly in the field, is an assumed convention rather than a validated physiological equivalence. We conducted a systematic review and meta-analysis evaluating ketamine's influence on GABA, Glu, and Glx levels and their relationship to clinical outcomes in adults with depression. Multiple databases were searched from inception through October 16, 2025; of 1046 identified studies, 11 met inclusion criteria. Included studies demonstrated significant methodological variability across infusion protocols, metabolite selection, MRS acquisition timing, and brain region of interest. Meta-analyses from limited evidence base did not demonstrate statistically significant treatment-related alterations in any metabolite. The anterior cingulate and prefrontal cortices were most frequently examined regions. The quality of included studies was generally good, despite methodological heterogeneity. One RCT found percent reduction in Glx/GABA ratio positively correlated with symptom improvement. Only a few studies examined ketamine blood levels relative to metabolite changes. Current ¹H-MRS evidence does not confirm significant ketamine-related neurochemical alterations, likely reflecting methodological heterogeneity in timing, acquisition techniques, and brain regions examined rather than a true absence of effect. E/I balance shows promise as a treatment response predictor. Rigorous RCTs with standardized protocols, larger sample sizes, uniform dosing, and systematic biomarker investigations are needed to clarify ketamine's neurochemical mechanism and optimize ketamine's clinical application in treatment-resistant depression.

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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.