# Defining and Characterizing Postprandial Reactive Hypoglycemia

**Authors:** S. Katherine Sweatt, Diana M. Thomas, G. Jake LaPorte, Skyler Chauff, Darko Stefanovski, Barbara A. Gower

PMC · DOI: 10.3390/nu18050822 · Nutrients · 2026-03-03

## TL;DR

This study identifies a new way to define reactive hypoglycemia in people with obesity, linking it to higher insulin sensitivity and specific meal test patterns.

## Contribution

A novel and reproducible method to define reactive hypoglycemia using calculus-based curve parameters from a mixed meal test and IVGTT outcomes.

## Key findings

- Reactive hypoglycemia was identified in 19 of 69 participants using mixed meal test curve parameters.
- RH individuals showed lower glucose AUC, earlier glucose nadir, and higher insulin sensitivity compared to non-RH individuals.
- Sex (female) and race (AA) were significant predictors of RH presence.

## Abstract

Objective: Individuals with reactive hypoglycemia (RH) may be more likely to develop obesity and type 2 diabetes, but the ability to identify RH has been hampered by the lack of clear criteria. This study used calculus-based curve parameters from a mixed macronutrient liquid meal test (MMTT) to define RH in men and women with obesity. Methods: A total of 69 non-diabetic adults aged 35 ± 8.3 years with obesity (BMI 32.3 ± 4.2 kg/m2) underwent a 4 h MMTT to define RH, and an intravenous glucose tolerance test (IVGTT) to characterize RH (via insulin sensitivity, the acute insulin response to glucose (AIRg), insulin clearance, and the disposition index). Perceived hunger and fullness were assessed by visual analog scale. Results: RH was defined using curve properties of the MMTT. A total of 19 of the 69 participants had a reactive hypoglycemic response to the MMTT. Glucose AUC and nadir were lower, timing of glucose nadir was earlier, and insulin sensitivity was higher in RH compared to non-RH. Sex (female) and race (AA) were significant predictors of RH presence. Conclusions: Among individuals with obesity, RH is characterized by greater sensitivity to insulin and greater disposition index. We introduce a novel and reproducible method to define RH using curve-based criteria from a mixed meal test integrated with gold-standard IVGTT-derived outcomes.

## Linked entities

- **Diseases:** obesity (MONDO:0011122), type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** obesity (MESH:D009765), type 2 diabetes (MESH:D003924), diabetic (MESH:D003920), hypoglycemic (MESH:C000721848), RH (MESH:D007003)
- **Chemicals:** Glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12986748/full.md

## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12986748/full.md

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Source: https://tomesphere.com/paper/PMC12986748