The Metabolic Response to a Standardized High Fat, High Calorie Meal in Healthy Obese Individuals is Similar to that of Healthy Lean Individuals
Bibliographic record
Abstract
Obesity is associated with numerous health complications; however, a subgroup of individuals (termed the metabolically healthy obese or MHO) may be protected from the cardiometabolic complications typically associated with a high body mass index. We previously showed that MHO individuals have reduced levels of serum inflammatory markers and saturated fatty acids (FAs), as well as altered adipose tissue amino acid homeostasis, compared to their metabolically unhealthy obese (MUO) counterparts. Building on this past foundational work, the goal of this study was to examine the postprandial metabolic response to a standardized high fat, high calorie meal in lean healthy (LH), MHO, and MUO individuals. Blood glucose and insulin levels were measured during the 2 h postprandial period and used to calculate the area under the curve (AUC). The AUC for both glucose and insulin were similar between LH and MHO individuals, and significantly lower compared to MUO individuals (p<0.05). Gas chromatography and capillary electrophoresis‐mass spectrometry revealed significant postprandial differences in several FAs and amino acids, respectively, between MHO and MUO individuals. Furthermore, we found that baseline levels of various FAs and amino acids were predictive of the glycemic and insulinemic postprandial response. Taken together, our results highlight that MHO individuals represent an important subgroup of obesity that appear to have a preserved metabolic response to a challenge meal in comparison to their MUO counterparts. Grant Funding Source: Supported by CIHR
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".