Evidence map›Paper›PMID 40716480›Full record

ArticlePhysiology & behavior2025

Metrics of glycemic control but not body weight influence flavor nutrient conditioning in humans.

Mary Elizabeth Baugh, Monica L Ahrens, Amber K Burns, Rhianna M Sullivan, Abigail N Valle, Alexandra L Hanlon, Alexandra G DiFeliceantonio

Abstract read
In one paragraph

Article in Physiology & behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mary Elizabeth BaughFralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Center for Health Behaviors Research at Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.
Monica L AhrensDepartment of Statistics, Blacksburg, VA, USA.
Amber K BurnsFralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Center for Health Behaviors Research at Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Translational Biology, Medicine, and Health, Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA.
Rhianna M SullivanFralin Biomedical Research Institute at VTC, Roanoke, VA, USA; School of Neuroscience, Virginia Tech, Blacksburg, VA, USA.
Abigail N ValleFralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Alexandra L HanlonCenter for Biostatistics and Health Data Science, Department of Statistics, Blacksburg, VA, USA.
Alexandra G DiFeliceantonioFralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Center for Health Behaviors Research at Fralin Biomedical Research Institute at VTC, Roanoke, VA, USA; Department of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA. Electronic address: dife@vt.edu.

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Ultra-processed food reward: neural and metabolic factorsR01DK132389 · NIDDK · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Alexandra Gold DiFeliceantonio · 2023 to 2026
$1.8M
NCATS NIH HHS UL1 TR003015NIDDK NIH HHS R01 DK132389
6 · The paper itself

Abstract

The modern food landscape, marked by a rising prevalence of highly refined, ultra-processed, and highly palatable foods, combined with genetic and environmental susceptibilities, is widely considered a key factor driving obesity at the population level. Gaining insight into the physiological and behavioral mechanisms that shape food preferences and choices is crucial for understanding obesity's development and informing prevention strategies. One factor influencing habitual eating patterns, which may impact body weight, is flavor-nutrient learning. Research suggests that post-oral signaling is diminished in both animals and humans with obesity, potentially affecting flavor-nutrient learning. By analyzing pooled data from two similar preliminary studies, we found that markers of glycemic control-specifically fasting glucose and HbA1C-rather than BMI, were negatively correlated with changes in flavor liking in our flavor-nutrient learning task. These findings contribute to the expanding body of research on flavor-nutrient learning and underscore the variability in individual responses to these paradigms. Obesity is increasingly recognized as a complex and heterogeneous condition with diverse underlying mechanisms. Together, our findings and existing evidence emphasize the importance of further investigating how phenotypic factors interact to shape food preferences and eating behaviors.

Indexed as

Blood GlucoseBody WeightFood PreferencesGlycemic ControlTasteAdultBody Mass IndexFemaleGlycated HemoglobinHumansMaleNutrientsYoung AdultBlood GlucoseGlycated HemoglobinNutrientsCarbohydratesFlavor nutrient conditioningFood rewardMetabolism

Identifiers

PMID40716480
PMCPMC12393117

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.