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Soy Proteins Deficient in the α’ Subunit of β‐Conglycinin and Various Glycinin Subunits Maintain the Ability to Modulate Hepatic Lipid and Glucose Metabolism

2016· article· en· W4389007366 on OpenAlexaffabout
Cynthia Chatterjee, Jiajie Liu, Carla M. Wood, Christine Gagnon, Elroy R. Cober, Judith Fregeau-reid, S. Gleddie, Chao-Wu Xiao

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsCarleton UniversityAgriculture and Agri-Food CanadaHealth Canada
Fundersnot available
KeywordsSoy proteinLipid metabolismCaseinEndocrinologyInternal medicineChemistryWestern blotInflammationCholesterolLipid profileBiochemistryBiologyMedicine

Abstract

fetched live from OpenAlex

Soy consumption has been associated with improved blood lipid profiles and decreased incidence of metabolic diseases. However, the involved molecular mechanism(s) and the bioactive components in soy remain unclear. This study examined the effect of soy proteins with depletion of different subunits of the two major storage proteins, β‐conglycinin and glycinin, on hepatic lipids and proteins involved in lipid and glucose metabolism as well as inflammation in rats and cultured human hepatocytes. Sprague‐Dawley rats (8 males and 8 females/group) were fed diets containing either 20% casein or 20% conventional soy proteins or soy proteins depleted in different β‐conglycinin and glycinin subunits. After 8 weeks, the rats were necropsied for collection of blood and tissue samples. Human HepG2 liver cells were treated with casein or test soy protein hydrolysates in the media containing low (5 mM) or high (25 mM) levels of glucose with or without insulin and tumour necrosis factor alpha (TNF‐α). Hepatic lipids were extracted and measured. Various modulators of lipid and glucose metabolisms in the liver and cultured human hepatocytes were determined by Western blot. Serum inflammation markers were analysed by a magnetic beads‐based multiplexing immunoassay. The results showed that the soy diets lacking glycinins reduced hepatic lipid droplet formation, total cholesterol, triglycerides, and non‐esterified fatty acids content in the male rats compared to rats on the casein control diets, and a similar trend was observed in the females. The soy diets lacking glycinins significantly attenuated serum inflammation markers and the abundance of mature hepatic sterol regulatory element binding protein ‐1 (SREBP‐1) and fatty acid synthase (FAS) in both genders and decreased hydroxymethylglutaryl‐CoA reductase (HMGCR) and low‐density lipoprotein receptor (LDL‐R) in female livers. Soy protein hydrolysates devoid of glycinins significantly increased Akt phosphorylation in high glucose concentrations. These results suggest that the remaining soy protein components other than α’ subunit of β‐conglycinin and glycinin may be associated with the health benefits of soy intake such as hypolipidemic function, improved insulin signalling and suppression of inflammation. Support or Funding Information This research was supported by Health Canada, Grain Farmers of Ontario Research Fund and the partnership of Agriculture and Agri‐Food Canada/Canadian Field Crops Research Alliance DIAP Fund. C.C. is supported by the National Science and Engineering Research Council (NSERC) Visiting Fellowship in Canadian Government Laboratories.

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 score0.001
Threshold uncertainty score0.002

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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