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Record W2803182634 · doi:10.1093/ndt/gfy104.sp628

SP628THE APOE4 VARIANT IS ASSOCIATED TO EXECUTIVE FUNCTIONS IMPAIRMENT IN PATIENTS ON CHRONIC DIALYSIS

2018· article· en· W2803182634 on OpenAlexaboutno aff
Antonella La Russa, Danilo Lofaro, Benedetta Aquino, Martina Bonofiglio, Donatella Vizza, Simona Lupinacci, Giuseppina Toteda, Paolo Gigliotti, Francesca Leone, Anna Perri, Renzo Bonofiglio

Bibliographic record

VenueNephrology Dialysis Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDialysisHemodialysisIntensive care medicineKidney diseaseInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: The prevalence of cognitive impairment (CI) in patients with chronic kidney disease is much higher than in general population and is between 30-80% in patients receiving dialysis.Among dialysis patients, CI is associated with lower compliance, lower quality of life, with consequent increased risk of morbidity, hospitalization and mortality. The pathophysiological mechanisms causing CI in dialysis are multifactorial, but still not clearly understood. Potential causes include: vascular co-morbidities and factors associated with uremia and dialysis such as oxidative stress, exchange of fluids, lowering of cerebral blood flow, etc. Apolipoprotein E (apoE) is the most abundant apolipoprotein. It has six genotypes (ε2/ε2, ε2/ε3, ε3/ε3, ε/ε4, ε3/ε4, ε4/ε4) originating from 3 different alleles (ε2, ε3, ε4). The ApoE4 isoform promotes the accumulation of amyloid-β (Aβ), slows the elimination of lipoproteins, with a consequent increase in plasma cholesterol levels. Accumulation and aggregation of Aβ in the brain is an initiating step in the pathogenesis of Alzheimer's disease (AD). The ε4 allele of apoE gene is the strongest genetic risk factor for late-onset AD. To date, no evidence of the possible role of ApoE in CI in dialysis is known. The aim of our study was, therefore, to evaluate the association between the CI and the isoforms of the ApoE gene in a cohort of dialysis patients. METHODS: The CI was evaluated on a cohort of patients in dialysis treatment without established neurological disease. For the determination of global CI was used the Montreal Cognitive Assessment (MoCA), a test designed as a rapid screening instrument for mild cognitive dysfunction. The CI was defined as a score at MoCA≤24. The Trail Making Test (TMT A-B) was used for the evaluation of executive functions (FE) and mental flexibility. In this test, the number of seconds used to complete the task is measured. Lower scores indicate better cognitive function. Polymorphisms of the ApoE gene were analyzed after genomic DNA extraction through: Polymerase Chain Reaction (PCR), Enzymatic Digestion and Polyacrylamide gel electrophoresis. RESULTS: Were enrolled 41 patients (29/12 M / F), aged 59.8 ± 12.3 (28 HD, 13 PD). 82.9% of patients showed CI at the MoCA, while 30% showed a FE deficiency at TMT. 19.5% of patients showed the ApoE4 variant. No significant difference at MoCA test was found between ApoE4 variant vs. E2/E3 carriers. The results at the TMT showed that 62.5% of patients with ApoE4 had impairment of FE compared to 18.2% of those carrying ApoE2-3 allele (p = 0.03). The patients with FE deficiency showed significantly lower levels of Albuminemia (p = 0.02) and higher levels of PCR (p = 0.04). CONCLUSIONS: In conclusion, our results suggest that ApoE gene is not associated with global CI in dialysis, but only with FE deficiencies. Since FE impairment is typically found in dementia of vascular origin, our results suggest that the pathophysiological factors of CI in dialysis patients may be mainly atherosclerotic in nature.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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