Neuronal lipid metabolism genetics and Early‐Onset Alzheimer’s Disease: A systematic review and meta‐analysis of observational studies
Bibliographic record
Abstract
Abstract Background Early Onset Alzheimer’s disease (EOAD) is associated with mutations in APP, PSEN1 and PSEN 2 genes but few studies have assessed its relationship with mutations involved in lipid metabolism and the amyloid cascade. Therefore, this study seeks to determine the association of ABCA7, SORL1 and APOE mutations with EOAD. Method The protocol was registered in PROSPERO(CRD42022328366). We included comparative observational studies assessing the association of ABCA7, SORL1 and APOE mutations with the development of EOAD in patients younger than 65 years old. The search strategy was performed in five databases (MEDLINE, Scopus, Web of Science, EMBASE, Opengray) from their inception to May 7th,2022. Abstract and full‐text screening, data extraction and risk of bias (RoB) assessment were performed in duplicates. RoB was assessed with Newcastle‐Ottawa Scale. We performed a random effects meta‐analysis for dichotomous outcomes by using the DerSimoniain Laird method. Effect sizes were reported as odds ratio (OR) with their corresponding 95% confidence intervals (95%CI). Result A total of 2191 studies were screened and seven studies (n = 8992) were included; one was a retrospective cohort and six were case‐control studies. Three studies had high RoB and four had low RoB. Overall, 60% were female and the mean age ranged from 33.9(SD±17.1) to 57.4(SD±5.6). Three case‐control studies (n = 5098) found a significant association of ABCA7 mutation with EOAD (OR:2.51 95%CI[1.33‐4.73]; tau‐squared = 0.20, I‐squared = 66%). Two case‐control studies (n = 3107) found that SORL1 mutation was not associated with EOAD (OR:3.65 95%CI[0.76‐17.49]; tau‐squared = 1.15, I‐squared = 89%). Two case‐control studies and one cohort study (n = 787) found that APOE4 allelic variant mutation of the APOE gene had significant association with EOAD (OR:13.21; 95%CI[3.81‐45.85]; tau‐squared = 0.90, I‐squared = 75%) and that the APOE2 allelic variant mutation was not associated with EOAD. Conclusion Despite the high heterogeneity in our results and limited number of studies, this study shows that ABCA7 and APOE mutations may be associated with an increased risk of EOAD. Larger high‐quality cohort studies are needed to address this research question.
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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 | 0.015 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.027 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".