A systematic review with meta‐analysis of the GABAergic system in transgenic rodent models of amyloidosis and tauopathy
Bibliographic record
Abstract
Abstract Background Alzheimer’s disease (AD) is characterized by the accumulation of amyloid‐β (Aβ) plaques and tau tangles in the brain, and neurotransmission dysfunctions. Indeed, our group recently demonstrated that the γ‐aminobutyric acid (GABA)ergic system is vulnerable to AD pathology in humans. However, whether this vulnerability is also present in AD rodent models is still unknown. Thus, we aimed to examine the GABAergic system in rodent models of amyloidosis and tauopathy. Method We systematically reviewed the literature following the PRISMA 2020 Statement. We searched PubMed and Web of Science from database inception to March 2023 for studies reporting GABA, glutamate decarboxylase (GAD) 65/67, GABA transporters (GAT), and GABAA and GABAB receptors in the brain of 3xTg‐AD, 5xFAD, APP/PSEN1, McGill‐R‐Thy1‐APP, Tg2576, TauPS2APP, TgCRND8, APP SweDI, and hAPP‐J20 AD rodent models. Then, we performed a random‐effects meta‐analysis of standardized mean differences (SMD) using the metafor and metaviz packages in R (FDR‐adjusted p‐value < 0.05). Result The search identified 3,631 articles and 27 met the inclusion criteria (Table 1 and Figure 1A). The systematic review showed decreased levels of GAD65/67 in the hippocampus, dentate gyrus, and hilus of TauPS2APP, hippocampus of TgCRND8, hippocampus and cortex of APP SweDI, and suprachiasmatic nucleus of Tg2576 mouse models. However, no differences in the cortex and cerebellum of APP/PSEN1 and hippocampus of hAPP‐J20 mice were found (Figure 1B). APP/PSEN1 had decreased vGAT in the hippocampus and increased in cortex (Figure 1B). GABAA receptors (Figure 1B) were decreased in APP/PSEN1 mice, while GABAB receptors (Figure 1B) remained unchanged. Due to insufficient number of studies, we meta‐analyzed only GABA. There were no differences in GABA levels in the cortex of APP/PSEN1 and Tg2576 mouse models (Figures 2A and 2B, p = 0.226 and 0.968, respectively), and in the hippocampal GABA levels in 5xFAD mice (Figure 2C, p = 0.924). Conclusion Here, we show decreased levels of GABAergic synthesis enzymes and GABAA receptors, and alterations in GABA transporters in AD rodent models. By contrast, there were no changes in GABA levels and GABAB receptors. Our results suggest that the AD rodent models recapitulate the GABAergic system vulnerability seen in human AD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.030 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".