The GABAergic system in Alzheimer’s disease: a systematic review with meta-analysis
Abstract
The γ-aminobutyric acid (GABA)ergic system is the primary inhibitory neurotransmission system in the mammalian brain. Its dysregulation has been shown in multiple brain conditions, but in Alzheimer's disease (AD) studies have provided contradictory results. Here, we conducted a systematic review with meta-analysis to investigate whether the GABAergic system is altered in AD patients compared to healthy controls (HC), following the PRISMA 2020 Statement. We searched PubMed and Web of Science from database inception to March 18 th , 2023 for studies reporting GABA, glutamate decarboxylase (GAD) 65/67, GABA A , GABA B, and GABA C receptors, GABA transporters (GAT) 1-3 and vesicular GAT in the brain, and GABA levels in the cerebrospinal fluid (CSF) and blood. Heterogeneity was estimated using the I 2 index, and the risk of bias was assessed with an adapted questionnaire from the Joanna Briggs Institute Critical Appraisal Tools. The search identified 3631 articles, and 48 met the final inclusion criteria (518 HC, mean age 72.2, and 603 AD patients, mean age 75.6). Random-effects meta-analysis [standardized mean difference (SMD)] revealed that AD patients presented lower GABA levels in the brain (SMD = -0.48 [95% CI = -0.7, -0.27], adjusted p value (adj. p) A receptor (-0.51 [-0.7, -0.33], adj. p < 0.001), and GABA transporters (-0.51 [-0.92, -0.09], adj. p = 0.016) were lower in the AD brain. Here, we showed a global reduction of GABAergic system components in the brain and lower…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Interplay between excitatory and inhibitory neurotransmitter systems, particularly dysregulation of GABA, may further tip balance toward hyperexcitability and network dysfunction in AD.
“Moreover, the interplay between excitatory and inhibitory neurotransmitter systems, particularly the dysregulation of γ-aminobutyric acid (GABA), may further tip the balance toward hyperexcitability and network dysfunction in AD [121].”
From Toward a Unified Framework in Molecular Neurobiology of Alzheimer’s Disease: Revisiting the Pathophysiological Hypotheses (2026) · cites this paper as [121]
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n160 · Cited by 11,883 · cited 2× · see citing works
“The risk of bias in the included articles was assessed at the study level using the Joanna Briggs Institute Critical Appraisal Tools [43] checklist for case-control studies (2020 version).”
2023 Alzheimer's disease facts and figures
(2023) · Alzheimer's & Dementia · doi:10.1002/alz.13016 · Cited by 3,212 · cited 1× · see citing works
“In 2023, the prevalence of AD dementia in the United States was estimated at 6.7 million people aged 65 and older; by 2050, this number is projected to reach 12.7 million [1].”
InfluentialBramer, W. M., Rethlefsen, M. L., Kleijnen, J., & Franco, O. H. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0644-y · Cited by 2,114 · cited 1× · see citing works
“…or systematic review, or meta-analysis; (d) it was a case report, editorial, commentary, opinion, protocol, hypothesis, letter to the editor, conference abstract, or book chapter; (e) it was not AD-focused (i.e., the term “ Alzheimer ’ s disease ” was mentioned in the abstract only to…”
Jack, C. R., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., Thies, B., & Phelps, C. H. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.004 · Cited by 2,042 · see citing works
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
Veroniki, A. A., Jackson, D., Viechtbauer, W., Bender, R., Bowden, J., Knapp, G., Kuss, O., Higgins, J. P., Langan, D., & Salanti, G. (2016) · Research Synthesis Methods · doi:10.1002/jrsm.1164 · Cited by 1,685 · see citing works
History and progress of hypotheses and clinical trials for Alzheimer’s disease
Liu, P.-P., Xie, Y., Meng, X.-Y., & Kang, J.-S. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0063-8 · Cited by 723 · see citing works
Hansson, O., Edelmayer, R. M., Boxer, A. L., Carrillo, M. C., Mielke, M. M., Rabinovici, G. D., Salloway, S., Sperling, R., Zetterberg, H., & Teunissen, C. E. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12756 · Cited by 607 · see citing works
Bi, D., Wen, L., Wu, Z., & Shen, Y. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12088 · Cited by 232 · see citing works
Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases
Gusenbauer, M. (2022) · Scientometrics · doi:10.1007/s11192-022-04289-7 · Cited by 211 · see citing works
Towards a Better Understanding of GABAergic Remodeling in Alzheimer’s Disease
Govindpani, K., Calvo-Flores Guzmán, B., Vinnakota, C., Waldvogel, H., Faull, R., & Kwakowsky, A. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18081813 · Cited by 208 · see citing works
Incidence of Dementia and Alzheimer Disease Over Time: A Meta‐Analysis
Gao, S., Burney, H. N., Callahan, C. M., Purnell, C. E., & Hendrie, H. C. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16027 · Cited by 104 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
Hein, Z. M., Karikalan, B., Gopalakrishna, P. K., Dhevi, K., Alkatiri, A., Hussan, F., Mohd Moklas, M. A., Jagadeesan, S., Che Ramli, M. D., Che Mohd Nassir, C. M. N., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-025-05602-0 · Cited by 43 · see citing works
- Authors
- Carello-Collar, G., Bellaver, B., Ferreira, P. C. L., Ferrari-Souza, J. P., Ramos, V. G., Therriault, J., Tissot, C., De Bastiani, M. A., Soares, C., Pascoal, T. A., Rosa-Neto, P., Souza, D. O., & Zimmer, E. R.
- Affiliations
- Universidade Federal do Rio Grande do Sul (BR)
- McGill University Research Centre for Studies in Aging (CA)
- University of Pittsburgh (US)
- Corresponding author
- Zimmer, Eduardo R.
- ORCID
- Venue
- Molecular Psychiatry
- Published
- 2023-07-07
- Volume
- 28
- Issue
- 12
- Pages
- 5025-5036
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W4383534628
- Cited by
- 98
- References
- 12
- Citations by year
- 2026: 33 · 2025: 43 · 2024: 17 · 2023: 5
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Molecular Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alzheimer's Association (NIRP-12-259245, AARF-D-22-923814, AARGD-21-850670, AARFD-22-974627, #NIRG‐12‐92090, AACSF-20-648075)
- Canadian Institutes of Health Research
- National Institute on Aging (R01AG073267, R01AG075336)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, GABAergic system, GABA levels, GAD65/67, GABAA receptor, GABAB receptors, GABAC receptors, GABA transporters, cerebrospinal fluid, inhibitory neurotransmission, brain biomarkers, neuroinflammation, neurodegeneration, neuroprotection
- MeSH terms
- Aged, Alzheimer Disease, Brain, gamma-Aminobutyric Acid, Glutamate Decarboxylase, Humans, Receptors, GABA, GABA Plasma Membrane Transport Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review