Abstract P181: Circulating Second-messenger Glycerophosphocholines and Cardiovascular Risk Factors in a Population-based Sample of Adolescents
Bibliographic record
Abstract
Circulating second-messenger glycerophosphocholines (smGPCs), including lysophosphatidylcholines and platelet-activating factors, are low-abundance plasma phospholipids that modulate atherosclerosis and inflammation and, in turn, the risk for cardiovascular disease (CVD). Although CVD is a slow-progressing disease culminating in middle-to-late adulthood, its initial stages may be seen already in adolescence. Here, we investigated whether circulating smGPCs are associated with classical CVD risk factors - excess body fat, elevated BP, insulin resistance and low-grade inflammation - during adolescence. We studied a population-based sample of 1029 adolescents (52% females, 12-18 years), as part of the Saguenay Youth Study. We used targeted serum lipidomics (LC-ESI-MS) to identify and quantify circulating smGPCs within the 440-640 Da range. In all participants, we also measured: (i) visceral fat with MRI and total body fat with bioimpedance; (ii) blood pressure (BP) beat-by-beat for five minutes under standard clinical conditions; and (iii and iv) fasting serum insulin (as an index of insulin resistance) and CRP (as an index of low-grade inflammation). We identified a total of 81 smGPCs that varied by the length and saturation of their fatty acyl residues and the type of linkage these residues are attached to the glycerol backbone. Over 30 of them were associated with multiple CVD risk factors (p<6x10 -4 ). Most of these associations were inverse and involved ‘medium’ mass smGPCs. Positive associations were also seen and these involved ‘low’ or ‘high’ mass smGPCs. Most strongly inversely associated smGPCs were: (i) PC(20:6/0:0) and PC(O-18:6/2:0), which were associated with total body fat (p<3x10 -14 ) and CRP (p<8x10 -36 ); and (ii) PC(16:0/2:0), which was associated with visceral fat (p=2x10 -18 ) and BP (p<1x10 -5 ). The most strongly positively associated smGPC was PC(14:1/0:0), which was associated with visceral fat (p=8x10 -8 ) and fasting insulin (p=2x10 -24 ). Thus, specific circulating smGPCs are strongly associated with multiple CVD risk factors in adolescence; some of these associations may be ‘protective’ whereas others ‘adverse’. Circulating smGPCs may serve as novel biomarkers of early risk for CVD.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".