Changes in Postprandial Glucose and Systolic Blood Pressure Following Mango Consumption in Individuals With Overweight/Obesity
Bibliographic record
Abstract
OBJECTIVES: Polyphenolic compounds are potent modulators of several pathways regulating inflammatory processes, lipid metabolism and glucose metabolism. This study aimed to explore the cardiometabolic health impacts of daily mango consumption (Mangifera indica) in individuals with overweight/obesity. METHODS: Changes in the cardiometabolic profile variables including glucose tolerance as well as physical activity habits and dietary intakes were assessed in this single-arm clinical trial of 8 men and 19 women with overweight or obesity, who consumed 280 g/day of frozen mango for 8 consecutive weeks. RESULTS: The intervention was not associated with significant changes in body weight, waist circumference or plasma lipid concentrations. We however noted that after consuming mangos for 8 weeks, participants showed a 3.5% reduction in systolic BP (−4.2 ± 5.8 mmHg, P = 0.011) as well as a 10.5% reduction in 2-hour plasma glucose concentration after a 75-g oral glucose tolerance test (−0.58 ± 1.03 mmol/L, P = 0.008). When taken separately, we found that women exhibited significant decreases in systolic (−4.6 ± 5.6 mmHg, P = 0.0001) and diastolic BP (−2.6 ± 4.9 mmHg, P = 0.0322) as well as a 12.4% reduction in 2-hour plasma glucose response to the 75-g oral glucose tolerance test (−0.67 ± 1.07 mmol/L, P = 0.0134) in response to the mango consumption. Similar changes were noted in men [i.e., decreases in systolic (−3.2 ± 6.7 mmHg, P = 0.2) and diastolic BP (−4.0 ± 5.4 mmHg, P = 0.07) as well as of 2-hr plasma glucose concentrations (−0.35 ± 0.97, P = 0.3)] although these failed to reach statistical significance. CONCLUSIONS: Our results suggest that regular mango consumption may have beneficial effects on blood pressure and glucose tolerance in individuals with overweight/obesity. Further studies need to be conducted to validate the metabolic relevance of our observations with regards to cardiometabolic health. FUNDING SOURCES: This project was funded by the National Mango Board. JRH received postdoctoral fellowships from CIHR, INAF and NUTRISS. M-CV holds a Tier 1 Canada Research Chair in Genomics Applied to Nutrition and Metabolic Health. AM is chairholder of the Pfizer Canada – CIHR Chair in the Pathogenesis of Insulin Resistance and Cardiovascular Diseases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".