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Plasma trimethylamine-n-oxide associates with reduced hippocampal volume and cognitive impairment in atrial fibrillation

2024· article· en· W4403836167 on OpenAlexaff
T Ziswiler, Peter Lee, Michelangelo Luciani, Thamonwan Diteepeng, Meret Allemann, S Aeschbacher, Lukas Pirpamer, Marco Duering, Arnold von Eckardstein, Deborah Mueller, David Conen, M Kuehne, Leo H. Bonati, S Osswald, Jürg H. Beer

Bibliographic record

VenueEuropean Heart Journal · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationTrimethylamine N-oxideCardiologyCognitive impairmentHippocampal formationInternal medicineTrimethylamineDisease

Abstract

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Abstract Background/Introduction Atrial fibrillation (AF) is the most common cardiac arrhythmia in modern society and affected patients appear particularly vulnerable to cognitive dysfunction. Yet, the pathomechanism of this association other than thromboembolism (TE) is not fully understood. We have shown earlier an association of cognitive dysfunction with the gut microbiome derivate trimethylamine-N-oxide (TMAO), which predominantly results from the consumption of red meat. We therefore hypothesized that TMAO may affect hippocampal volume (HV) as a brain structure relevant for cognition. Purpose To demonstrate the structure-function correlation of high TMAO levels with reduced cognitive function and lower HV in a large cohort of patients with atrial fibrillation. Methods We included 1’736 patients with confirmed AF from the Swiss-AF-cohort with both, available blood samples for TMAO measurement and with brain magnetic resonance imaging (bMRI) for the determination of HV at baseline. TMAO levels were measured by liquid chromatography-mass spectrometry (LC-MS). bMRI were obtained by 1.5 or 3 Tesla scanners. HV was assessed by the FreeSurfer software (v 7.4.0) subregion segmentation module and normalized by using Sequence Adaptive Multimodal SEGmentation (SAMSEG) to determine the segmentation based intracranial volume. Patients were divided into TMAO quartiles (Q1: 0.6-3.8, Q2: 3.8-5.5, Q3: 5.5-8.5, Q4: 8.5-164.3μmol/l). Their TMAO levels were compared with their HV (unit = mm3) in linear mixed effect models adjusted for multiple covariates (model 1: age, sex, total intracranial volume (ICV), education level; model 2 = model 1 + smoking status, body mass index (BMI), alcohol consumption, physical activity; model 3 = model 2 + hypertension, coronary artery disease, previous stroke, geriatric depression scale). We assessed both unilateral HV (right = RHV, left = LHV) and bilateral HV standardized by the individual total ICV. Results Overall mean age was 72.5 years (+/-8.4 SD), 27.2% were female. Most of the patients were well educated (39.4% advanced, 48.8% middle education) and 44% never smoked. After multivariable adjustments, patients in the highest TMAO quartile showed a significant reduction of bilateral HV volume of 93.4mm3 (95% CI -179.0 to -7.8, p = 0.03). The RHV appeared more affected and was significantly reduced by 48.2mm3 (CI -93.4, -3.0, p=0.04), whereas LHV was decreased by 44.2mm3 (-89.4, 1.0, p=0.06) in the highest TMAO quartile. Conclusion(s) TMAO negatively associates with bilateral HV in patients with AF. Our results suggest a structure-function-correlation between high TMAO levels and cognitive dysfunction. The findings may be relevant for the high TMAO-exposed patients and advocates for the importance of (possible dietary) prevention in AF.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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
Published2024
Admission routes1
Has abstractyes

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