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Record W4414062854 · doi:10.3390/metabo15090592

Plasma Lipidomic Alterations in Fontan Circulation Reflect Cardiovascular Functional Reserve

2025· article· en· W4414062854 on OpenAlexaff
Arun Surendran, Amir Ravandi, Ashish H. Shah

Bibliographic record

VenueMetabolites · 2025
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsFontan procedureLipidomicsLipid accumulationLipid profileLipid metabolismCardiac dysfunction

Abstract

fetched live from OpenAlex

Background: Fontan circulation is associated with impaired cardiac output, reduced exercise capacity, and systemic metabolic stress. However, the underlying lipidomic alterations remain poorly defined. Methods: Using targeted mass spectrometry, we analyzed 291 lipid species in fasting plasma samples from 20 adults with Fontan circulation and 20 age- and sex-matched healthy controls. Results: Forty-eight lipids were significantly altered between groups (p < 0.05), including reductions in total lysophosphatidylcholines (LPC) and total ether-linked LPC [LPC(O)] and elevations in total phosphatidylserines (PS). Notably, LPC(O-22:1) and LPC(O-20:0) were decreased, while PS 40:5 was elevated, with several of these species demonstrating strong correlations (|r| > 0.5, p < 0.001) with the stroke index, cardiac index, and VO2max. These three lipid species also showed excellent capability in discriminating Fontan patients from healthy controls (AUC > 0.78). Correlation network and pathway enrichment analyses revealed tightly coordinated lipid clusters containing LPC/LPC(O), PE, and PS species as central features of dysregulated Fontan metabolism. Conclusions: These exploratory findings highlight coordinated lipid alterations associated with impaired cardiovascular reserve in Fontan patients. While based on unadjusted p-values and therefore being hypothesis-generating, they provide novel insight into the metabolic landscape of Fontan physiology and warrant validation in larger, independent cohorts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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.

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".

Quick stats

Citations10
Published2025
Admission routes1
Has abstractyes

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