Cardiometabolic Profile after Pediatric Cancer Treatment: Insight into HDL Composition and Nutritional Intake
Bibliographic record
Abstract
Few studies have investigated the impact of pediatric cancer treatment on cardiometabolic health, although chemotherapy in children can cause rapid weight gain, transient hypertension, elevated blood glucose and hyperlipidemia. Besides, we have previously shown that young survivors of childhood leukemia are at increased risk of having the metabolic syndrome, dyslipidemia, hypertension and altered high‐density lipoprotein (HDL) composition. This study aims to examine the cardiometabolic profile of children after cancer treatment in relation to their diet, as well as HDL2 and HDL3 composition. Methods Patients were recruited at Sainte‐Justine University Health Center in Montreal as part of the VIE Program (Valorization, Implication, Education). Fasting blood samples were collected and we assessed participants' anthropometric, metabolic, and biochemical profiles. Three day food records were used to evaluate dietary intake. HDL2 and HDL3 fractions were isolated from plasma by ultracentrifugation, and total protein and lipids were measured by colorimetric reactions. Results To date, 63 patients (44.4% boys) were recruited. Mean age was 11.7 ± 5.6 years and 46.0% were treated for acute lymphoblastic leukemia. The time elapsed since the last treatment was 17.0 ± 9.7 months. We found that 25.4% of participants (n=16/63) had hypertension, 22.2% (n=14/63) were obese and 8.9% (n=5/56) were insulin resistant. One third of patients had dyslipidemia (n=21/63), a risk that was increased by age (OR: 1.31, 95%CI: 1.16–1.50, P<0.01). Patients over 10 years old had insufficient intakes of several nutrients (vitamins A and E, folate, magnesium, zinc). Compared to healthy children, the proportion of esterified cholesterol in HDL2 was lower (18.6 ± 1.2% vs. 11.9 ± 1.4%, P<0.01), but protein content was higher (41.1 ± 1.6% vs. 48.8 ± 1.0, P<0.01). The proportion of esterified cholesterol was also lower in HDL3 fractions of patients treated for cancer (12.6 ± 1.3% vs. 10.1 ± 0.7%, P<0.01). Conclusion These results indicate cardiometabolic disturbances and anomalies in HDL composition in children shortly after cancer treatment. They emphasize the need for nutritional interventions in this high‐risk population. Support or Funding Information This work is funded by The Foundation Centre de cancérologie Charles‐Bruneau and The Joy of Eating Better Foundation and the CHU Sainte‐Justine Foundation . This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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 | 0.000 | 0.001 |
| 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".