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Record W2549166418 · doi:10.2527/jam2016-0700

0700 Anti-obesity and antidiabetic properties of lactoferrin are independent of calorie intake

2016· article· en· W2549166418 on OpenAlexaffabout
Rizaldy C. Zapata, Adel Pezeshki, Arashdeep Singh, Prasanth K. Chelikani

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEndocrinologyWhey proteinInternal medicineMealLactoferrinCalorieInsulinType 2 diabetesChemistryFood scienceMedicineDiabetes mellitusBiochemistry

Abstract

fetched live from OpenAlex

Whey proteins provide multiple health benefits to humans including promotion of weight loss and improving diabetic control. However, the bioactive components of whey that produce such benefits and the underlying mechanisms of action are poorly understood. Our objectives were to determine the effects of whey, and its components lactalbumin and lactoferrin, on 1) energy balance, body composition, glucose tolerance, and gut hormones and 2) key regulatory markers of glucose and lipid metabolism in liver and skeletal muscle of diet-induced obese (DIO) rats. The DIO rats were randomized to receive one of 5 isocaloric dietary treatments (n = 8/group; 40% fat and 4.63 kcal/g)—control (CON; 15% protein), whey (WH), lactalbumin (LA), lactoferrin (LF), and pair-fed WH to LF (PF)—for approximately 8 wk. The high-protein diets contained 15% added whey or its components. Food intake, meal patterns, energy expenditure, body composition, glucose tolerance, plasma hormone, and hepatic and muscle mRNA abundance were measured. Data were analyzed by linear mixed models, ANOVA, or ANCOVA. We found that 1) compared with CON, WH, LA, and LF reduced food intake, with LF producing a greater and sustained reduction of intake; 2) the hypophagia is partly due to reduced meal size and/or frequency, increased peptide YY mediated satiety, and decreased diet preference; 3) LF produced greater reductions in BW and fat mass, enhancement in energy expenditure, and improvement in glucose tolerance than PF; 4) LA decreased BW and fat mass, increased energy expenditure, and improved glucose tolerance compared with CON; 5) LA and LF decreased plasma concentrations of insulin and leptin relative to CON; and 6) LA increased the mRNA abundance of GLUT2, glucokinase, glycogen synthase, and carnitine palmitoyltransferase-1 and decreased fatty acid synthase and pyruvate dehydrogenase, whereas LF increased glucokinase and glucose-6-phosphate dehydrogenase and decreased phosphofructokinase and fatty acid synthase in the liver and both LA and LF increased muscle pyruvate dehydrogenase compared with CON. Together we demonstrate that the improvement in energy balance, lipid metabolism, and glucose tolerance by lactoferrin are beyond its hypophagic effects. Our findings have important implications for developing lactalbumin- and lactoferrin-based functional foods and nutraceuticals for weight loss and diabetic control. Funding by ALMA, AI-Bio, and Alberta Milk.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.034
GPT teacher head0.280
Teacher spread0.246 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

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