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Record W2797226474 · doi:10.1051/ocl/2018020

Ketones, omega-3 fatty acids and the Yin-Yang balance in the brain: insights from infant development and Alzheimer’s disease, and implications for human brain evolution

2018· article· en· W2797226474 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOCL · 2018
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsKetone bodiesDocosahexaenoic acidBrain developmentHuman brainKetogenic dietEndocrinologyNeuroscienceBiologyInternal medicinePhysiologyFatty acidMedicineMetabolismBiochemistryPolyunsaturated fatty acidEpilepsy

Abstract

fetched live from OpenAlex

Optimal brain performance is intimately linked to the brain’s Yin and the Yang − the balance between its structure and its energy metabolism. This relationship is clearly exemplified in infant brain development and in Alzheimer’s disease, and probably also applies to human brain evolution. In these examples, redundant pathways help achieve this important balance. For instance, the key structural lipid for the brain, docosahexaenoic acid (DHA), is supplied to the infant brain from at last three overlapping sources: (i) milk; (ii) infant’s own fat stores and (iii) by some endogenous synthesis from α-linolenic acid (ALA) or eicosapentaenoic acid (EPA). On the energy side, glucose is normally the brain’s main fuel but under conditions of prolonged starvation, it can be almost totally replaced by the ketone bodies, acetoacetate and β-hydroxybutyrate. When ketones are present in the blood they spare glucose uptake by the brain because they are actually the brain’s preferred fuel and are essential for normal infant brain development. The redundant sources of ketones are long chain fatty acids (including the relatively ketogenic ALA) in infant stores, and medium chain triglycerides (MCT) in milk. Besides infancy, nowhere is the strain on the brain’s balance between yin and yang more apparent than in Alzheimer’s disease (AD). One of the reasons why attempts to treat AD have largely failed could well be because chronically inadequate glucose supply to some areas of the brain on the order of 10% is present in people at risk of AD long before cognitive decline begins. However, brain ketone uptake is still normal even in moderately advanced AD. Hence, treatments that ignore the brain energy (glucose) deficit in AD would be predicted to fail, but treatments that attempt to rescue brain fuel availability via ketones would be predicted to have a better chance of succeeding. By analogy to ketones sparing glucose for brain energy metabolism, perhaps ALA or EPA entering the brain can help spare (conserve) DHA for its structural role. If so, it would not necessarily be futile to transport ALA and EPA into the brain just to β-oxidize the majority afterwards; DHA sparing as well as ketone production could be important beneficiaries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.300
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it