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Enregistrement W3019477760 · doi:10.18174/513041

Carnitine metabolism in relation to physical performance and cognition in aging

2020· dissertation· en· W3019477760 sur OpenAlexaboutno aff
Marjanne D. van der Hoek

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMetabolism and Genetic Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCarnitineCognitionRelation (database)Cognitive agingPsychologyGerontologyMedicineNeuroscienceCognitive psychologyComputer scienceInternal medicineData mining

Résumé

récupéré en direct d'OpenAlex

Chapter 1 provides background on the role of carnitine in energy regulation, on aging and frailty, on how carnitine may be related to frailty, on the role of carnitine in cognition and which tools are used to measure mild cognitive impairment.Chapter 2 describes a detailed phylogenetic analysis of the carnitine/choline acyltransferase family to better understand the origin, evolution and function of this physiologically important gene family. Although CPT1 and CPT2 must have co-evolved to establish carnitine shuttling, CPT1 and CPT2 are the most distantly related carnitine transferases. The genes encoding these enzymes split early in evolution, during which a switch occurred in the location of the encoded proteins. Furthermore, we found that choline acetyltransferase is closely related to carnitine acetyltransferase and shows lower evolutionary rates than long chain acyltransferases. The gene encoding CPT1 duplicated several times during evolution, resulting in the isoforms CPT1A, CPT1B and CPT1C. CPT1C is the brain specific isoform that resulted from positive and/or relaxed selection in the mammalian lineage.In Chapter 3 intramuscular (acyl)carnitine profiles were studied in fit and (pre-)frail males and females, with young males and females serving as healthy controls. We hypothesized that muscle acylcarnitine status is associated with (pre-)frailty, diminished physical performance and altered mitochondrial function. A cross-sectional study was performed in well age‑matched fit (n = 15) and (pre-)frail (n = 13) old males as well as in fit (n = 15) and (pre‑)frail (n = 11) old females, using healthy young males (n = 13) and females (n = 13) as controls. In the elderly, frailty was assessed according to the Fried criteria and physical performance was determined by a 400m walk test, short physical performance battery and handgrip strength. Liquid chromatography-tandem mass spectrometry was used to assess acylcarnitine status in muscle biopsies and blood plasma. In addition, mitochondrial gene expression was analysed by RNA sequencing. We found that intramuscular total carnitine levels and short chain acylcarnitine levels were lower in (pre-)frail old females compared to fit old females and young females, whereas we found no differences in males. The age of the fit and (pre-)frail subjects was highly matched, which excludes age as an explanatory variable. The intramuscular short chain acylcarnitine levels were associated with low physical function in females, even after correction for muscle mass (%), whereas in males no such association was found. The decline in short chain acylcarnitine levels in (pre‑)frail old females was accompanied by low expression of genes involved in mitochondrial energy production and mitochondrial functionality. We concluded that in (pre-)frail old females, intramuscular total carnitine levels and short chain acylcarnitine levels are decreased and this decrease is accompanied by reduced physical performance and low expression of a wide range of genes involved in mitochondrial function. The mitochondrial gene expression changes that were found suggest that the observed decrease in muscle short chain acylcarnitine status in (pre‑)frail females may be a consequence rather than a cause of mitochondrial dysfunction.Carnitine metabolism is also important for brain function. Therefore, we investigated in chapter 4 a newly developed cognitive test, the MemTrax test, and compared it to the Montreal Cognitive Assessment (MoCA) tool, which is a commonly used tool to screen for mild cognitive impairment. We evaluated the performance of a computerized memory test (MemTrax), which is an adaptation of a continuous recognition task. Two outcome measures are generated from the MemTrax test: MemTraxspeed and MemTraxcorrect. Subjects (≥ 75 years) were administered the MoCA and the MemTrax test. Based on the results of the MoCA, subjects were divided in two groups of cognitive status; normal cognition (n = 45) and mild cognitive impairment (n = 37). Mean MemTrax scores were significantly lower in the mild cognitive impairment than in the normal cognition group. All MemTrax outcome variables were positively associated with the MoCA. Two methods, computing the average MemTrax score and linear regression, were used to estimate the cutoff values of the MemTrax test to detect mild cognitive impairment. These methods showed that for the outcome MemTraxspeed a score below the range of 0.87 – 91 s-1 is an indication of mild cognitive impairment, and for the outcome MemTraxcorrect a score below the range of 85 – 90% is an indication for mild cognitive impairment. For future research we suggest to study the MemTrax test in a larger and more clearly defined population to establish MemTrax as screening tool for mild cognitive impairment. Subsequently, in Chapter 5, we studied whether cognitive impairment is an early feature in the development of frailty. In addition, we studied whether carnitine metabolism may also provide a possible predictive role in the frailty associated cognitive decline. We included 15 fit and 13 pre-frail old males and 15 fit and 11 pre-frail old females for the analysis. Cognitive function was assessed by using both the cognitive tests MoCA and MemTrax. We used (acyl)carnitine data from blood plasma. Besides we measured inflammatory markers in blood. We found that cognitive function was modestly declined in pre-frail males and females. Physical function was positively correlated with cognitive function in males, but not in females. The medium chain acylcarnitines C8 and C10 were lower in pre-frail males compared to fit males. In females, free carnitine levels were higher in pre‑frail females compared to fit females. No correlations were found between plasma acylcarnitines or inflammatory markers and cognitive function. We concluded that pre-frail males and females have a modest cognitive decline. In males, physical function was positively associated with cognitive decline, but no associations were found with acylcarnitines suggesting that carnitine has no direct determining role in cognitive decline.In chapter 6 the main findings of this thesis are discussed and the conclusions presented. Furthermore, some topics were explored more deeply; the brain isoform CPT1C, sex dependent differences in aging research, mitochondria in aging and MemTrax as a cognitive test for clinical research. In addition, it has been studied if peripheral blood mononuclear cells can be used as a biomarker for intramuscular carnitine status and the design of a follow-up carnitine supplementation study is presented.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,006
Tête enseignante GPT0,246
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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