Evidence map›Paper›PMID 41084093›Full record

ArticleGenes & nutrition2025

Postprandial metabolic effects of milk and yoghurt in young and older adults.

Elaine Hillesheim, Gaïa Lépine, Patrick Neuhaus, Kathryn J Burton-Pimentel, Jinyoung Kim, Katherine Li, Ulrich Bütikofer, Charlotte Fleuti, Corinne Marmonier, Dominique Dardevet and 2 more

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Elaine HillesheimAgroscope, CH-3003, Bern, Switzerland.
Gaïa LépineUnité de Nutrition Humaine, INRAE, Université Clermont Auvergne, Clermont-Ferrand, 63000, France.
Patrick NeuhausAgroscope, CH-3003, Bern, Switzerland.
Kathryn J Burton-PimentelAgroscope, CH-3003, Bern, Switzerland.
Jinyoung KimAgroscope, CH-3003, Bern, Switzerland.
Katherine LiAgroscope, CH-3003, Bern, Switzerland.
Ulrich BütikoferAgroscope, CH-3003, Bern, Switzerland.
Charlotte FleutiAgroscope, CH-3003, Bern, Switzerland.
Corinne MarmonierCNIEL, 42 Rue de Châteaudun, Paris, 75009, France.
Dominique DardevetUnité de Nutrition Humaine, INRAE, Université Clermont Auvergne, Clermont-Ferrand, 63000, France.
Sergio PolakofUnité de Nutrition Humaine, INRAE, Université Clermont Auvergne, Clermont-Ferrand, 63000, France.
Guy VergèresAgroscope, CH-3003, Bern, Switzerland. guy.vergeres@agroscope.admin.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostprandial metabolism plays a key role in cardiometabolic health, and its impairment with ageing is associated with increased disease risk. While yoghurt consumption has been linked to improved fasting metabolic markers, its acute postprandial effects are less well understood, particularly in older adults. This study investigated whether yoghurt consumption influences age-related postprandial metabolic dysregulation.

methodsIn a randomised crossover design, 14 young (20-35 years) and 14 older (65-80 years) healthy men consumed 600 mL of whole milk or yoghurt following an overnight fast. Biochemical markers (glucose, insulin, triglycerides, TNF-α, IL-6, GIP and ghrelin) were measured at baseline and up to six hours postprandially. Differences in lipid metabolism by age were further investigated by assessing free fatty acid (FFA) responses in the yoghurt phase only. Postprandial responses were analysed for time, age, product and interaction effects, and summarised using incremental area under the curve (iAUC) and incremental maximum concentration (iCmax).

resultsGlucose and insulin responses were influenced by product (time × product, p < 0.05), with yoghurt resulting in significantly lower iCmax values compared with milk. In contrast, triglyceride responses were influenced by age (time × age, p < 0.05), with older adults exhibiting higher iAUC and iCmax, delayed peak concentrations and slower return to baseline levels, independently of the product consumed. No significant age × product or age × product × time interactions were observed for any biochemical marker. Among the 37 FFAs quantified in the yoghurt phase, seven - predominantly saturated and abundant in yoghurt - exhibited a significant time × age interaction, accompanied by higher iAUC or iCmax in older adults.

conclusionsDairy fermentation improved postprandial glucose and insulin responses, whereas ageing predominantly affected lipid dynamics. Fermentation did not attenuate impairments in postprandial triglyceride metabolism in this acute setting. Profiling individual postprandial FFAs may enhance understanding of metabolic flexibility and inform personalised dietary strategies across the lifespan.

Indexed as

AgeingDietary challengeFermented foodsFree fatty acidsGlucoseInsulinMilkPostprandial periodTriglyceridesYoghurt

Identifiers

PMID41084093
PMCPMC12519632

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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.