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Machine learning elucidates associations between oral microbiota and the decline of sweet taste perception during aging

Abstract:
Aging-induced deterioration in taste perception can result in loss of appetite and malnutrition in the elderly, posing a substantial challenge to healthy aging. In oral cavity, the oral microbiota, food particles, and taste receptors interact extensively under the flow of saliva. Although it has been hypothesized that oral microbiota may influence taste perception, evidence remains limited. Here we justified this hypothesis and further proposed that specific oral bacterial genera exhibited significant associations with age-related alterations in sweet taste perception. Notable age-related changes in taste perception were observed: the elderly presented significantly higher detection and recognition thresholds for sweet taste acuity compared to the youth. Linking back to the oral microbiota, we identified key bacteria genera Haemophilus, Lachnoanaerobaculum, Fusobacterium, Aggregatibacter and Oribacterium associated with sweet taste perception via machine learning. Correspondingly, we found several volatile compounds in the oral exhaled breath, especially the endogenous compound isoprene, that significantly correlated with oral bacteria genera and sweet taste sensitivity. Our findings in sweet taste perception-associated bacteria and metabolites can be potential biomarkers of early aging, which provides timely fresh clues for the well-being of the aging population.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41538-025-00676-5

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Role:
Author


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Funder identifier:
https://ror.org/01h0zpd94


Publisher:
Nature Research
Journal:
npj Science of Food More from this journal
Volume:
10
Issue:
1
Article number:
29
Publication date:
2026-01-07
Acceptance date:
2025-12-15
DOI:
EISSN:
2396-8370
ISSN:
2396-8370


Language:
English
Keywords:
Pubs id:
2357420
UUID:
uuid_7a6e1e33-7021-4a5e-a690-e6d28c1491ff
Local pid:
pubs:2357420
Source identifiers:
3722583
Deposit date:
2026-02-03
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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