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Record W4206259765 · doi:10.1002/alz.054228

Altered central and peripheral glutathione in Alzheimer disease and mild cognitive impairment: A meta‐analysis

2021· article· en· W4206259765 on OpenAlexaff
Jinghan Jenny Chen, Mathura T. Thiyagarajah, Jianmeng Song, Qi Zhen Chen, Nathan Herrmann, Krista L. Lanctôt

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsGlutathioneMedicineInternal medicineOxidative stressBiomarkerOncologyPathologyEndocrinologyChemistryBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Abstract Background Increasing evidence implicates oxidative stress (OS) in Alzheimer Disease (AD) and Mild Cognitive Impairment (MCI). Depletion of the brain antioxidant glutathione (GSH) may be important in OS‐mediated neurodegeneration, though post‐mortem brain GSH changes in AD have been inconclusive. Recent in vivo measurements of brain and peripheral GSH may shed light on GSH changes, with implications for its role as a biomarker and therapeutic target. Aim: To quantitatively review in vivo GSH in AD and MCI compared to healthy controls (HC) using meta‐analysis. Method Studies published before June 2020 containing measurements of in vivo brain or peripheral GSH in MCI or AD with a HC group were identified using Medline, PsychInfo, and Embase. Standardized mean differences (SMD) and 95% confidence intervals (CI) were calculated for outcomes using random effects models. Outcome measures included brain GSH (Meshcher‐Garwood Point Resolved Spectroscopy (MEGA‐PRESS versus non) in AD and MCI, and peripheral GSH (intracellular versus extracellular) in AD and MCI. The Q statistic and Egger’s test were used to assess heterogeneity and risk of publication bias respectively. Results For brain GSH, 4 AD (AD=175, HC=272) and 4 MCI (MCI=254, HC=260) studies were included. For peripheral GSH, 26 AD (AD D =981, HC l =993) and 7 MCI (MCI=434, HC=408) studies were included. Brain GSH did not differ in AD or MC compared to HC; however, the subgroup of studies using MEGA‐PRESS reported lower brain GSH in AD (SMD [95%CI] = ‐1.47 [‐1.91, ‐1.02], p=0.02) and MCI (‐1.08 [‐1.53,‐0.64], p=0.01). Peripheral GSH was lower in AD (‐0.94 [‐1.37, ‐0.51], p<0.001). In a subgroup analysis, intracellular GSH was lower in MCI (‐0.66 [‐1.11, ‐0.21], p=0.02). Significant heterogeneity was observed in all analyses and supported the use of random effect models. Egger’s test indicated risk of publication bias in MCI brain GSH literature. Conclusion In vivo measures of GSH in AD and MCI had significant heterogeneity. Peripheral analyses suggested intracellular GSH decreases may be prominent in early disease stages with both intra‐ and extracellular decreases in later stages. Brain GSH may be decreased in AD and MCI but heterogeneity and potential bias indicate the need for measurement standardization and replication.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.284
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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