Cognitive Function, Diet, and Gender are Associated with Unique Microbiome Signatures in Cancer Survivors
Notice bibliographique
Résumé
Despite the development of new and highly effective cancer therapies, emerging evidence suggests that these treatments are associated with long-term side effects, which may contribute to cognitive impairment (CI) or dementia in cancer survivors. Many of these side effects are linked to gut health and a perturbed gut microbiome. However, the role of the gut microbiota in cancer treatment-related side effects, especially in older adults, remains largely unknown. Furthermore, it remains elusive how other factors, such as diet and gender, may impact gut microbiota. We hypothesize that cancer survivors have a distinct microbiome signature compared to non-cancer controls and that CI, diet, and gender are associated with unique microbiomes in survivors. Here, we analyzed the gut microbiome (using whole genome sequencing) and cognitive function (using the Montreal Cognitive Assessment [MoCA]) of 150 older adults (≥ 60 years) from the MiaGB (Microbiome in aging Gut and Brain) consortium. We first assessed microbiome signatures of cancer survivors in our cohort compared to non-cancer controls. We show that the gut of cancer survivors is significantly enriched with Escherichia, Eggerthella lenta, and Lachnospiraceae bacterium OF09 33XD. Next, participants were further stratified based on MoCA score, diet (yogurt/probiotic consumption), and gender and we assessed their microbiota. E. lenta and L. bacterium OF09 33XD remained enriched in cancer survivors when separating based on all three of these factors. We also found that cognitive function, yogurt/probiotic use, and gender were linked with unique microbiome signatures in cancer survivors. Interestingly, the abundances of two well-studied probiotics, Streptococcus thermophilus and Lactobacillus rhamnosus, were significantly low in cancer survivors with CI. Additionally, increased S. thermophilus abundance was positively correlated with MoCA score (Spearman p = 0.054, r = 0.159). Our results indicate that older adult cancer survivors harbor a unique gut microbiome, which could also be impacted by cognitive function, yogurt/probiotic consumption, and gender. Elucidating how these factors modulate the microbiome, independently and together, will aid in the development of novel and precision microbiome-based therapies to combat cancer treatment-related side effects in survivors. We would like to thank the Ed and Ethel Moore Alzheimer’s Disease Research Program of the Florida Department of Health (22A17), the National Institutes of Health, National Institute of Aging (R56AG069676, R56AG064075, RF1AG071762, R21AG072379, U01AG076928), and the Department of Defense (W81XWH-18-PRARP AZ180098) for funding support. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».