Nutrition, mode de vie et prévention du vieillissement cérébral : caractérisation de combinaisons, mécanismes et groupes à risque au moyen de l’épidémiologie moléculaire Article Swipe
Dementia is the leading pathology of cognitive ageing. This complex syndrome results from genetic and environmental factors. Lifestyle factors, in particular nutrition, have shown robust associations with cognitive ageing in observational studies, especially when considered in combination (in the form of dietary or nutrient patterns, or lifestyle patterns more generally). However, intervention studies on nutrient supplementation, dietary or behavioral changes more generally, have been disappointing so far. One of the potential reasons for the relative failure of these studies may have been their inability to consider preventive targets in combination (particularly in the field of nutrition) or use of poorly-specified combinations (e.g., in so-called "multi-domain" prevention). In addition, the populations most likely to benefit from the intervention have often not been well characterized and the concept of "universal" prevention remains the benchmark. The general aim of this thesis was to take advantage of rich observational epidemiological data, specifically in molecular epidemiology, to help the characterization of preventive strategies for brain ageing pathologies through nutrition and lifestyle. The data comes from the 3-City (3C) study, a large multicentric cohort of elderly people in the general population. In this thesis, the first line of research aimed at identifying optimal nutritional combinations for prevention. We first targeted 3 of the most promising families of nutrients for prevention on the basis of previous knowledge (omega-3 polyunsaturated fatty acids, total carotenoids and vitamin D) and we developed a multi-micro-nutritional biological status index incorporating circulating levels of their biomarkers, associated with the risk of dementia. In practice, this index could be used to identify and provide preventive care for individuals with nutritional deficiencies who are at high risk of developing dementia. We then targeted a dementia-preventive diet developed by the scientific community, the MIND diet, and looked for a signature of the adherence to this diet in the food metabolome. The second line of research of the thesis was to explore new preventive targets by deciphering the mechanisms linking nutrition to cerebral ageing, with a particular interest in the gut-brain axis. Among 72 metabolites derived from the gut microbiota, only propionic acid was significantly associated with cognitive decline, with replication in an independent sample. Propionic acid is a short-chain fatty acid produced by the microbiota from dietary fibers, but it is also used as a food preservative, and the deleterious relationship to cognitive ageing evidenced in this work requires further investigation. Finally, in a third line of research, we investigated potential group of individuals with specific vulnerabilities that could benefit from the implementation of precision prevention in cognitive ageing. Here, we chose to broaden the scope of exposures to include, beyond nutrition, lifestyle factors as a whole. We focused on a risk score validated in the literature combining 12 modifiable factors, the LIBRA (Lifestyle for Brain health risk score), and we showed that this score was associated with the risk of dementia and cognitive decline, whatever the individual's level of genetic susceptibility (as reflected by the APOE4 allele and a genetic risk score). This latest study suggests that prevention through lifestyle modification could be effective for everyone, including among individuals who are genetically predisposed to developing dementia, which is certainly an encouraging public health message for these persons.
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- fr
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- http://www.theses.fr/2023BORD0282/document
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https://openalex.org/W4395958738Canonical identifier for this work in OpenAlex
- Title
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Nutrition, mode de vie et prévention du vieillissement cérébral : caractérisation de combinaisons, mécanismes et groupes à risque au moyen de l’épidémiologie moléculaireWork title
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preprintOpenAlex work type
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frPrimary language
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2023Year of publication
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2023-11-06Full publication date if available
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Jeanne NeufferList of authors in order
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https://www.theses.fr/2023BORD0282/documentPublisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.theses.fr/2023BORD0282/documentDirect OA link when available
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Epidemiology, Characterization (materials science), Gerontology, Medicine, Psychology, Internal medicine, Nanotechnology, Materials scienceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.vitamin | 227 |
| abstract_inverted_index.(omega-3 | 220 |
| abstract_inverted_index.Dementia | 0 |
| abstract_inverted_index.Finally, | 395 |
| abstract_inverted_index.However, | 50 |
| abstract_inverted_index.cerebral | 325 |
| abstract_inverted_index.consider | 85 |
| abstract_inverted_index.decline, | 351, 478 |
| abstract_inverted_index.dementia | 475 |
| abstract_inverted_index.factors, | 18, 454 |
| abstract_inverted_index.factors. | 16 |
| abstract_inverted_index.families | 209 |
| abstract_inverted_index.identify | 257 |
| abstract_inverted_index.include, | 433 |
| abstract_inverted_index.interest | 330 |
| abstract_inverted_index.nutrient | 43, 54 |
| abstract_inverted_index.patterns | 47 |
| abstract_inverted_index.persons. | 531 |
| abstract_inverted_index.previous | 218 |
| abstract_inverted_index.produced | 365 |
| abstract_inverted_index.relative | 74 |
| abstract_inverted_index.requires | 392 |
| abstract_inverted_index.research | 192, 308 |
| abstract_inverted_index.specific | 409 |
| abstract_inverted_index.studies, | 31 |
| abstract_inverted_index.suggests | 500 |
| abstract_inverted_index.syndrome | 10 |
| abstract_inverted_index.targeted | 203, 277 |
| abstract_inverted_index.whatever | 479 |
| abstract_inverted_index.Lifestyle | 17 |
| abstract_inverted_index.Propionic | 358 |
| abstract_inverted_index.addition, | 107 |
| abstract_inverted_index.adherence | 296 |
| abstract_inverted_index.advantage | 141 |
| abstract_inverted_index.certainly | 523 |
| abstract_inverted_index.cognitive | 6, 27, 350, 386, 421, 477 |
| abstract_inverted_index.combining | 451 |
| abstract_inverted_index.dementia, | 520 |
| abstract_inverted_index.dementia. | 248, 274 |
| abstract_inverted_index.developed | 231, 281 |
| abstract_inverted_index.effective | 508 |
| abstract_inverted_index.everyone, | 510 |
| abstract_inverted_index.evidenced | 388 |
| abstract_inverted_index.exposures | 431 |
| abstract_inverted_index.gut-brain | 333 |
| abstract_inverted_index.inability | 83 |
| abstract_inverted_index.including | 511 |
| abstract_inverted_index.knowledge | 219 |
| abstract_inverted_index.lifestyle | 46, 436, 504 |
| abstract_inverted_index.molecular | 149 |
| abstract_inverted_index.nutrients | 211 |
| abstract_inverted_index.nutrition | 163, 323 |
| abstract_inverted_index.pathology | 4 |
| abstract_inverted_index.patterns, | 44 |
| abstract_inverted_index.potential | 70, 404 |
| abstract_inverted_index.practice, | 250 |
| abstract_inverted_index.precision | 418 |
| abstract_inverted_index.promising | 208 |
| abstract_inverted_index.propionic | 344 |
| abstract_inverted_index.reflected | 487 |
| abstract_inverted_index.research, | 401 |
| abstract_inverted_index.signature | 293 |
| abstract_inverted_index.so-called | 103 |
| abstract_inverted_index.validated | 447 |
| abstract_inverted_index.(Lifestyle | 457 |
| abstract_inverted_index.associated | 243, 348, 470 |
| abstract_inverted_index.behavioral | 58 |
| abstract_inverted_index.benchmark. | 131 |
| abstract_inverted_index.biological | 234 |
| abstract_inverted_index.community, | 285 |
| abstract_inverted_index.considered | 34 |
| abstract_inverted_index.developing | 273, 519 |
| abstract_inverted_index.especially | 32 |
| abstract_inverted_index.generally, | 61 |
| abstract_inverted_index.lifestyle. | 165 |
| abstract_inverted_index.literature | 450 |
| abstract_inverted_index.mechanisms | 321 |
| abstract_inverted_index.microbiota | 368 |
| abstract_inverted_index.modifiable | 453 |
| abstract_inverted_index.nutrition) | 95 |
| abstract_inverted_index.nutrition, | 21, 435 |
| abstract_inverted_index.particular | 20, 329 |
| abstract_inverted_index.prevention | 128, 213, 419, 502 |
| abstract_inverted_index.preventive | 86, 156, 260, 316 |
| abstract_inverted_index.scientific | 284 |
| abstract_inverted_index.strategies | 157 |
| abstract_inverted_index."universal" | 127 |
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| abstract_inverted_index.carotenoids | 225 |
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| abstract_inverted_index.combination | 36, 89 |
| abstract_inverted_index.deciphering | 319 |
| abstract_inverted_index.deleterious | 383 |
| abstract_inverted_index.encouraging | 525 |
| abstract_inverted_index.generally). | 49 |
| abstract_inverted_index.genetically | 516 |
| abstract_inverted_index.identifying | 195 |
| abstract_inverted_index.independent | 356 |
| abstract_inverted_index.individuals | 263, 407, 513 |
| abstract_inverted_index.metabolites | 337 |
| abstract_inverted_index.metabolome. | 303 |
| abstract_inverted_index.microbiota, | 342 |
| abstract_inverted_index.nutritional | 197, 265 |
| abstract_inverted_index.pathologies | 161 |
| abstract_inverted_index.population. | 184 |
| abstract_inverted_index.populations | 109 |
| abstract_inverted_index.predisposed | 517 |
| abstract_inverted_index.prevention. | 200 |
| abstract_inverted_index.replication | 353 |
| abstract_inverted_index.short-chain | 362 |
| abstract_inverted_index.associations | 25 |
| abstract_inverted_index.combinations | 100, 198 |
| abstract_inverted_index.deficiencies | 266 |
| abstract_inverted_index.individual's | 481 |
| abstract_inverted_index.intervention | 51, 116 |
| abstract_inverted_index.investigated | 403 |
| abstract_inverted_index.modification | 505 |
| abstract_inverted_index.multicentric | 176 |
| abstract_inverted_index.prevention). | 105 |
| abstract_inverted_index.relationship | 384 |
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| abstract_inverted_index.disappointing | 64 |
| abstract_inverted_index.environmental | 15 |
| abstract_inverted_index.epidemiology, | 150 |
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| abstract_inverted_index.significantly | 347 |
| abstract_inverted_index."multi-domain" | 104 |
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| abstract_inverted_index.investigation. | 394 |
| abstract_inverted_index.susceptibility | 485 |
| abstract_inverted_index.epidemiological | 145 |
| abstract_inverted_index.polyunsaturated | 221 |
| abstract_inverted_index.vulnerabilities | 410 |
| abstract_inverted_index.characterization | 154 |
| abstract_inverted_index.poorly-specified | 99 |
| abstract_inverted_index.supplementation, | 55 |
| abstract_inverted_index.dementia-preventive | 279 |
| abstract_inverted_index.multi-micro-nutritional | 233 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5061081992 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile |