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Enregistrement W2986347547 · doi:10.1194/jlr.d119000518

Turnover of brain DHA in mice is accurately determined by tracer-free natural abundance carbon isotope ratio analysis

2019· article· en· W2986347547 sur OpenAlexafffund
R. J. Scott Lacombe, Chi‐Chiu Lee, Richard P. Bazinet

Notice bibliographique

RevueJournal of Lipid Research · 2019
Typearticle
Langueen
DomaineNursing
ThématiqueFatty Acid Research and Health
Établissements canadiensUniversity of Toronto
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
Mots-clésChemistryIsotopeIsotopes of carbonDocosahexaenoic acidMetabolismIsotope-ratio mass spectrometryPolyunsaturated fatty acidIsotope analysisStable isotope ratioCarbon-13Fatty acidBiochemistryIsotopes of nitrogenRadiochemistryChromatographyMass spectrometryBiologyEnvironmental chemistryTotal organic carbonEcologyOrganic chemistryNitrogen

Résumé

récupéré en direct d'OpenAlex

The brain is highly enriched in the long-chain omega-3 (n-3) PUFA DHA. Due to the limited capacity for local DHA synthesis in the brain, it relies on a continual supply from the circulation to replenish metabolized DHA. Previous studies investigating brain DHA turnover and metabolism have relied on isotope tracers to determine brain fatty acid kinetics; however, this approach is cumbersome and costly. We applied natural abundance carbon isotope ratio analysis via high-precision gas chromatography combustion isotope ratio mass spectrometry, without the use of labeled tracers, to determine the half-life of brain DHA in mice following a dietary switch experiment. Mice fed diets containing either α-linolenic acid (ALA) or DHA as the sole dietary n-3 PUFA were switched onto diets containing ALA, DHA, or ALA + DHA at 6 weeks of age, while control mice were maintained on their respective background diet. We measured brain DHA carbon isotope ratios (reported as δ13CDHA signatures) over a 168-day time course. Brain δ13CDHA signatures of control mice maintained on background diets over the time course were stable (P > 0.05). Brain δ13CDHA signatures of mice switched to the DHA or ALA + DHA diet from the ALA diet changed over time, yielding brain incorporation half-lives of 40 and 34 days, respectively. These half-lives determined by natural abundance carbon isotope ratio analysis were consistent with estimates from kinetic isotope tracer studies. Our results demonstrate the feasibility of natural abundance carbon isotope ratio analysis in the study of fatty acid metabolism without the use of isotopically labeled fatty acid tracers. The brain is highly enriched in the long-chain omega-3 (n-3) PUFA DHA. Due to the limited capacity for local DHA synthesis in the brain, it relies on a continual supply from the circulation to replenish metabolized DHA. Previous studies investigating brain DHA turnover and metabolism have relied on isotope tracers to determine brain fatty acid kinetics; however, this approach is cumbersome and costly. We applied natural abundance carbon isotope ratio analysis via high-precision gas chromatography combustion isotope ratio mass spectrometry, without the use of labeled tracers, to determine the half-life of brain DHA in mice following a dietary switch experiment. Mice fed diets containing either α-linolenic acid (ALA) or DHA as the sole dietary n-3 PUFA were switched onto diets containing ALA, DHA, or ALA + DHA at 6 weeks of age, while control mice were maintained on their respective background diet. We measured brain DHA carbon isotope ratios (reported as δ13CDHA signatures) over a 168-day time course. Brain δ13CDHA signatures of control mice maintained on background diets over the time course were stable (P > 0.05). Brain δ13CDHA signatures of mice switched to the DHA or ALA + DHA diet from the ALA diet changed over time, yielding brain incorporation half-lives of 40 and 34 days, respectively. These half-lives determined by natural abundance carbon isotope ratio analysis were consistent with estimates from kinetic isotope tracer studies. Our results demonstrate the feasibility of natural abundance carbon isotope ratio analysis in the study of fatty acid metabolism without the use of isotopically labeled fatty acid tracers. The composition of fatty acids in the brain is unique compared with most other tissues in that the brain is highly enriched in the long-chain omega-3 (n-3) PUFA DHA (22:6 n-3) (1Lacombe R.J.S. Chouinard-Watkins R. Bazinet R.P. Brain docosahexaenoic acid uptake and metabolism.Mol. Aspects Med. 2018; 64: 109-134Crossref PubMed Scopus (86) Google Scholar, 2Fliesler S.J. Anderson R.E. Chemistry and metabolism of lipids in the vertebrate retina.Prog. Lipid Res. 1983; 22: 79-131Crossref PubMed Scopus (826) Google Scholar). Mounting evidence indicates a role of DHA and its bioactive products in the support and regulation of optimal neuronal and synaptic function (3Bazinet R.P. Layé S. Polyunsaturated fatty acids and their metabolites in brain function and disease.Nat. Rev. Neurosci. 2014; 15: 771-785Crossref PubMed Scopus (827) Google Scholar). Furthermore, consistent with the hypothesis that brain DHA homeostasis is critical in supporting optimal brain function, postmortem analyses suggest that brain DHA levels may be altered, either as cause or consequence, in many neurological and neuropsychiatric disorders (1Lacombe R.J.S. Chouinard-Watkins R. Bazinet R.P. Brain docosahexaenoic acid uptake and metabolism.Mol. Aspects Med. 2018; 64: 109-134Crossref PubMed Scopus (86) Google Scholar). Although it appears to be vital in supporting brain function, DHA is not efficiently synthesized locally within the brain, and therefore DHA must be incorporated preformed from circulating plasma pools to replenish that which has been metabolized (4Demar J.C. Ma K. Chang L. Bell J.M. acid not to docosahexaenoic acid within brain of fed a diet enriched in docosahexaenoic PubMed Scopus Google Scholar, Bazinet R.P. docosahexaenoic acid synthesis from acid to supply the Lipid Res. PubMed Scopus Google Scholar). kinetic tracer studies have been to the incorporation and metabolism of DHA in the brain, as as the that may its the of following of DHA, the brain DHA half-life in has been determined to and and is to n-3 PUFA dietary J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar, L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google Scholar). of DHA have been to the of on brain DHA uptake and turnover R.P. Chang L. the incorporation and turnover of acid not docosahexaenoic acid in brain of the to PubMed Scopus Google Scholar, R.P. Chang L. not the of docosahexaenoic acid within brain of the PubMed Scopus Google Scholar, S. Chang L. Bazinet R.P. not the of or docosahexaenoic acid in brain of the Res. PubMed Scopus Google Scholar, Bell J.M. of docosahexaenoic acid metabolism in the of of Res. PubMed Scopus Google as as to the plasma the brain L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google Scholar, fatty acids in to efficiently by the brain the PubMed Scopus Google Scholar, incorporation of DHA over DHA in the Google Scholar, R. R.J.S. Bazinet R.P. brain in to docosahexaenoic acid PubMed Scopus Google Scholar). to the use of labeled DHA tracers have been applied to brain DHA and its the brain its docosahexaenoic of dietary docosahexaenoic and in the Res. PubMed Scopus Google Scholar, L. Ma of dietary α-linolenic and docosahexaenoic acids as of in brain and of Res. PubMed Scopus Google Scholar, L. K. of dietary DHA as a as a for brain DHA in Lipid Res. 2014; PubMed Scopus Google Scholar). Although for the of brain DHA to study and a analysis to the with the synthesis of tracer abundance analysis may to the use of tracers investigating fatty acid incorporation and the carbon of a is following incorporation from the highly natural abundance carbon isotope ratio as in of by gas chromatography isotope ratio mass the of a of in the carbon of and in of and for and carbon isotope ratios of natural and mass Google Scholar, isotope in Scopus Google Scholar). the use of dietary switch have the natural in carbon isotope ratios and to turnover to of and analysis and turnover of stable carbon in for analysis of 1983; PubMed Scopus Google Scholar, in vertebrate diets stable PubMed Scopus Google Scholar). dietary studies in have in natural abundance carbon isotope ratios to the of synthesis from fatty acids to the long-chain PUFA acid and DHA in of acid synthesis in natural of PubMed Scopus Google Scholar, of long-chain fatty acids in fed with long-chain fatty PubMed Scopus Google Scholar). Our has on the use of natural abundance carbon isotope ratios measured by isotope analysis to determine the of to plasma DHA levels in Chouinard-Watkins R. Bazinet R.P. is a to in acid following docosahexaenoic acid as determined by isotope analysis in PubMed Scopus Google and in Bazinet R.P. isotope analysis of DHA to of to DHA following a control PubMed Scopus Google and to the dietary of brain DHA R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar, R.J.S. Bazinet R.P. stable carbon analysis at the natural abundance to determine the of docosahexaenoic acid in the brain of the 2018; PubMed Scopus Google Scholar). the in carbon isotope ratios and n-3 that brain DHA, by either a diet containing α-linolenic acid (ALA) or DHA, by R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). the applied a dietary switch in which dietary n-3 PUFA and their respective carbon isotope ratios were altered, and in brain, and DHA carbon isotope ratios to as were measured over a 168-day time course. The in δ13CDHA signatures were by a function to determine incorporation Our results that brain incorporation half-lives from the dietary switch were consistent with determined from kinetic that preformed DHA is the of DHA for the brain ALA is at levels in the diet. These results the of natural abundance to study fatty acid metabolism in a without the of labeled tracer were or and were from either or acid and fatty acid were from and were from the were by the of and in with the and of the on and the of of were in a a with to and of mice were maintained on a diet containing either ALA or DHA as the n-3 PUFA for Our has that brain δ13CDHA signatures with the of dietary n-3 PUFA following of 6 weeks of mice were for a dietary switch Mice on the ALA diet were switched onto either the DHA diet or ALA + DHA diet. on the DHA diet were onto either the ALA diet or ALA + DHA diet. to the mice the dietary a of mice were maintained on their respective background either the ALA diet or DHA to the of δ13CDHA signatures over the course of the experiment. Mice were over a time course of and mice were by with of Brain and tissues were in and at on the composition of the R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). study diets were on a n-3 PUFA diet were from and and fatty acid and by the ALA, DHA, and ALA + DHA diets were ALA of and DHA to ALA and DHA diets at of the fatty acids by to fatty acid fatty acid were determined to be by gas chromatography The carbon isotope ratios of ALA and DHA from the study diets were determined to be and R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). were from tissues by from and for the and of lipids from PubMed Google Scholar). Brain and and were in 6 of a containing of and either acid or for fatty acid by and in the of to of in 6 of a containing acid brain, and were at following which of were and at for The containing the and at of lipids by following R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). The of lipids in the of is to be by this of to gas ratio mass of isotope Google Scholar). were by on a gas with a R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). were to of of were by the time to the and by the to that of the Due to the abundance of DHA in fatty DHA and other were and to carbon isotope ratio chromatography for the of by and of the of PUFA from lipids chromatography of lipids and fatty PubMed Scopus Google Scholar). 6 in The for the of from the of results of of and and of as PubMed Scopus Google Scholar). to were with by the to from in and onto the and were with 6 of and to with of applied containing or were with 6 were a of and in for of the and be in of by gas chromatography combustion isotope ratio mass to R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google and as were onto a in a gas a were the and R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google yielding of of The by gas to a combustion at and and to a via a gas the combustion of via gas a to the analysis on acid and that with of to determine the carbon ratio of to from of were to and the at to the were at and for the and respectively. to the gas to the via a to carbon isotope ratios were and to R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar, of measured stable to isotope PubMed Scopus Google Scholar). carbon isotope ratio of the and for and and to on a to and S. for and stable fatty acid and PubMed Scopus Google Scholar). were of by and to the were for of from the measured and of for were carbon isotope ratios from gas that is the combustion of or and therefore not from the carbon to fatty acids for the of carbon to measured carbon isotope ratios and the of were mass to the of of carbon in the and fatty acids and the and to the measured carbon isotope ratios of the and fatty respectively. of measured DHA carbon isotope ratios and and respectively. isotope ratios of the determined for of by of and acid as R.J.S. Bazinet R.P. isotope analysis the dietary of docosahexaenoic acid in the Lipid Res. PubMed Scopus Google Scholar). carbon isotope signatures from to as The for the time course from to mice time and fatty acid of mice the dietary switch were compared for the of time and dietary the a of this to in brain carbon isotope ratios over a 168-day time course for the of DHA analysis not for time were for the of δ13CDHA signatures over time, carbon isotope ratio of from the dietary control were and of were for from determined at δ13CDHA signatures from mice following the dietary switch were over time and with a function to a of the at time the of the at time, and the for mice that were switched onto the ALA + DHA diet to the δ13CDHA signatures over the time course. carbon isotope ratios from this of the dietary switch were by and were for from half-lives for δ13CDHA signatures were determined from the the following is the from the by a the of of DHA from the brain DHA the following J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar, fatty acid incorporation brain in to plasma and Neurosci. PubMed Scopus Google is the DHA from the and is the The may be as of the incorporation of DHA that the of and the incorporation to be the brain DHA is at and DHA of the ALA and DHA diet control in to brain DHA in the of were for diet (P and time (P to brain DHA in mice maintained on the DHA diet compared with on the ALA diet. DHA were in mice on the DHA diet compared with mice on the ALA diet time of time diet (P DHA control mice maintained on either the ALA diet or DHA diet. DHA in lipids from to in mice on the DHA diet compared with on the ALA diet. on DHA following the dietary switch in and for mice to the ALA diet and DHA respectively. to the brain, following the dietary switch a time diet in and (P and Brain DHA of mice from the diet switched onto the DHA and ALA + DHA diets over time, over at the dietary and mice to the DHA background dietary brain DHA stable over the time course in ALA and ALA + DHA diet and DHA following the dietary switch from mice to the DHA diet. as and were compared by for the of time and diet time DHA by the with the ALA, α-linolenic not and DHA pools to in n-3 PUFA mice to the ALA diet a of time in the and DHA pools (P and a DHA switched onto the DHA and ALA + DHA diets the DHA over levels of the DHA and ALA + DHA DHA a over at and at in mice on the DHA and ALA + DHA Mice to the DHA diet a in DHA in and pools switched to the ALA which not in the ALA + DHA diet the DHA by of on the ALA diet and mice on the ALA + DHA diet time the DHA were levels on the ALA diet and at at days, DHA stable in mice on the ALA + DHA diet over the 168-day time course. control mice and maintained on their respective ALA and DHA diets over the course of the brain and δ13CDHA signatures Brain δ13CDHA signatures over the time course and for ALA and DHA control respectively. δ13CDHA signatures and over the time course for ALA and DHA control respectively. of of δ13CDHA signatures in brain and lipids not from in control mice maintained on either the ALA or DHA diet δ13CDHA signatures were stable in control mice maintained on the DHA diet (P > however, δ13CDHA signatures from ALA enriched over the course of the study on analysis (P in brain and δ13CDHA signatures following the dietary switch from mice to the DHA diet. in carbon isotope ratios for the ALA diet were with a function on time isotope ratios from the ALA + DHA were not by a function and were by from analyses from tissues not from (P > 0.05). ALA, α-linolenic DHA brain, and δ13CDHA signatures measured over the 168-day time course were with a function 6 for ALA and DHA δ13CDHA signatures in the brain, and of mice on the DHA diet and switched to the ALA + DHA diet not over the time therefore carbon isotope ratios from this were with of were determined to not from (P > δ13CDHA signatures were determined to be half-lives were determined for and diet and from and with of for mice on the ALA and DHA diet in and not be determined for mice on the ALA + DHA diet δ13CDHA signatures from this were not by a DHA incorporation half-lives were determined to be and and and brain DHA brain, and DHA half-lives were in mice on the DHA diet and switched to the ALA diet. in DHA incorporation half-lives not mice on either the DHA or ALA + DHA from of δ13CDHA to dietary from from from and DHA to ALA diet + + + to DHA diet + + + were from δ13CDHA signatures a ALA, α-linolenic from from from and DHA in a were from δ13CDHA signatures a ALA, α-linolenic the that the DHA is estimates of the of be determined on the that the of incorporation of DHA a is the and the and in DHA in and lipids from the dietary were for brain lipids The of of brain DHA in ALA diet mice on the DHA or ALA + DHA diets to be mice on the ALA diet. a dietary switch that in signatures in to the dietary be to brain DHA carbon isotope ratio analysis and dietary switch studies have been applied to carbon turnover by and turnover of stable carbon in for analysis of 1983; PubMed Scopus Google Scholar, to in a a analysis stable carbon Scopus Google Scholar, and acid turnover and to in PubMed Scopus Google however, to this is the time a dietary switch study in with natural abundance for fatty the brain δ13CDHA with that of the dietary n-3 PUFA ALA or and mice to a diet n-3 PUFA with a carbon in brain δ13CDHA signatures were as a function of time, for the of brain DHA half-lives and mice to the ALA diet and switched to the DHA diet or ALA + DHA determined brain DHA half-lives to be to 40 These consistent with studies that tracers via to the of brain over time in the half-lives in studies were to and J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar, L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google Scholar). Previous studies investigating the of dietary PUFA on brain DHA turnover diets with or levels of DHA J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar). the study diets DHA at of the dietary fatty to of the mass brain DHA turnover from mice on the ALA background switched to DHA or ALA + DHA diet were with the of not levels of n-3 that the of DHA to a diet with levels of ALA may not brain DHA Although and of DHA half-lives on The estimates half-lives on the of the from the the estimates half-lives on the incorporation of preformed dietary DHA or synthesized DHA the brain that which has been the that the brain DHA is at the of DHA must be to the of DHA incorporation for in incorporation and turnover within brain and critical Res. Brain Res. Rev. PubMed Scopus Google Scholar). Although brain DHA over the time course in mice from the switched to either of the diets containing DHA, that from the in to on the of brain DHA half-lives be Furthermore, in the study to the of plasma DHA determined from studies L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google Scholar, R.P. Chang L. the incorporation and turnover of acid not docosahexaenoic acid in brain of the to PubMed Scopus Google Scholar, R.P. Chang L. not the of docosahexaenoic acid within brain of the PubMed Scopus Google Scholar, S. Chang L. Bazinet R.P. not the of or docosahexaenoic acid in brain of the Res. PubMed Scopus Google Scholar, Bell J.M. of docosahexaenoic acid metabolism in the of of Res. PubMed Scopus Google Scholar, Chang of acid not turnover and of docosahexaenoic acid and in PubMed Scopus Google Scholar). the half-lives and determined by natural abundance carbon isotope ratio analysis with determined the of estimates and that this fatty acid with mice on the ALA the brain DHA half-life determined from the mice switched onto the ALA diet for either diet of DHA have been to be a to brain DHA diets of preformed DHA brain the brain its docosahexaenoic of dietary docosahexaenoic and in the Res. PubMed Scopus Google Scholar). it is that be a of DHA for the brain in the of preformed DHA in the diet Bazinet R.P. docosahexaenoic acid synthesis from acid to supply the Lipid Res. PubMed Scopus Google Scholar). The of DHA from the and in mice to the DHA diet and switched to the ALA diet may have to the brain DHA half-life in this DHA from with enriched δ13CDHA the dietary DHA, to a isotopically enriched circulating DHA for uptake the brain, the measured of in brain δ13CDHA signatures and the The of the study to the of natural abundance to brain DHA half-lives a dietary switch a analysis and the in and δ13CDHA signatures following dietary switch and DHA half-lives in this DHA half-lives were to be and in the and and in the on the diet and dietary switch These results were to in mice from the of in labeled and pools The of of and fatty acids in Google Scholar). estimates from and studies in and suggest half-lives to be of fatty acid turnover in PubMed Scopus Google Scholar, of in for and PubMed Scopus Google Scholar, S. S. of lipids in and of a diet in Lipid Res. PubMed Google Scholar). in half-lives may be to as as in the it is to that the of DHA in and pools in the mice over the course of the study may have to of half-lives of DHA in studies have the dietary n-3 PUFA for brain DHA is evidence from tracer studies to suggest preformed dietary DHA is the of DHA for the brain in with n-3 PUFA in fed a diet isotopically labeled ALA and DHA, the brain its docosahexaenoic of dietary docosahexaenoic and in the Res. PubMed Scopus Google that of brain DHA over from preformed DHA, either from the diet or that which in from synthesis to labeled Furthermore, preformed DHA to be ALA for brain DHA in L. Ma of dietary α-linolenic and docosahexaenoic acids as of in brain and of Res. PubMed Scopus Google Scholar). the brain δ13CDHA signatures in mice switched to the ALA + DHA diet were not with the of ALA to the diet. Furthermore, of brain δ13CDHA signatures from mice to the ALA diet and switched to the DHA diet or the ALA + DHA diet were and DHA incorporation the of DHA synthesized from dietary ALA and incorporated the brain over the course of the study is compared with the of preformed DHA, to the results of the brain its docosahexaenoic of dietary docosahexaenoic and in the Res. PubMed Scopus Google Scholar). the carbon isotope ratio of fatty acids is or following and uptake use to the of synthesized DHA from ALA in δ13CDHA signatures of brain, and tissues of mice to the ALA diet switched to the ALA + DHA diet were and mice switched to the DHA diet δ13CDHA signatures The from be to a diet and on the of DHA synthesized from ALA to the and DHA of mice on the ALA + DHA diet be the following mass for and to in to the measured δ13CDHA from the to the of synthesized DHA to the DHA and and to the δ13CDHA signatures measured in the time of the ALA diet and DHA diet control respectively. The of measured from the control as to the carbon isotope ratios of dietary ALA and DHA is to for kinetic isotope the synthesis and of DHA with the fatty acid the of ALA to brain, and DHA is to be and respectively. estimates were by a diet labeled ALA and DHA and for the brain, the and the brain its docosahexaenoic of dietary docosahexaenoic and in the Res. PubMed Scopus Google Scholar, J.C. of dietary docosahexaenoic acid on of docosahexaenoic acid from acid in Lipid Res. PubMed Scopus Google Scholar). The estimates and tracer studies be to in or the of dietary The approach to brain DHA half-lives in the over J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar, L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google the of and tracers, it is not without the use of tracers, studies be however, natural abundance the use of high-precision that a Furthermore, as in the and diets may to the of the of within a which the of half-lives the may not be at be by to the carbon isotope ratio of the of in the diet while the in the diet. the of DHA, this be by a and a isotopically enriched as of long-chain fatty acids in fed with long-chain fatty PubMed Scopus Google Scholar). to the of must be to not a kinetic isotope that the of measured carbon isotope the of a the of natural abundance be applied as a for of The natural of fatty the of long-chain n-3 compared with dietary of ALA to study the of long-chain PUFA metabolism in without tracer Bazinet R.P. isotope analysis of DHA to of to DHA following a control PubMed Scopus Google natural abundance carbon isotope signatures of plasma long-chain n-3 PUFA following weeks of with to the of PUFA the were to demonstrate that in plasma following DHA not the of in natural abundance isotope ratio Chouinard-Watkins R. Bazinet R.P. is a to in acid following docosahexaenoic acid as determined by isotope analysis in PubMed Scopus Google Scholar, Bazinet R.P. isotope analysis of DHA to of to DHA following a control PubMed Scopus Google Scholar). with unique in long-chain of to study PUFA metabolism in of long-chain fatty acids in fed with long-chain fatty PubMed Scopus Google and with natural abundance carbon isotope ratio analysis to estimates of acid and DHA synthesis in Due to the in carbon isotope ratios of n-3 in the natural abundance carbon isotope ratio analysis is for the of n-3 PUFA metabolism in and over tracer the of and with the use of natural abundance determined brain DHA half-lives to be to in mice on the diet from mice switched to a diet containing DHA determined the use of and via with DHA J.C. Ma K. Bell J.M. of docosahexaenoic acid in brain by weeks of of n-3 fatty PubMed Scopus Google Scholar, Bazinet R.P. dietary PUFA to of acid and of DHA in brain Lipid Res. PubMed Scopus Google Scholar, L. Bazinet R.P. docosahexaenoic acid is the the PubMed Scopus Google Scholar). The of to the that brain DHA in has a half-life of Furthermore, the of to supply the brain with DHA it is not in the diet by the half-life of mice switched to the ALA diet. These results the of natural abundance carbon isotope ratio analysis in a dietary switch to study the metabolism and turnover of fatty acids and the for the of natural abundance isotope for the of fatty acid and metabolism in studies. The for with the α-linolenic acid isotope analysis analysis fatty acid gas chromatography combustion isotope ratio mass gas chromatography

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,126
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,048
Tête enseignante GPT0,394
Écart entre enseignants0,346 · 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 tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
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

Citations23
Publié2019
Routes d'admission2
Résumé présentoui

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Même revueJournal of Lipid ResearchMême sujetFatty Acid Research and HealthTravaux en français237 207