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Nutritional and Functional Properties of Edible Mushrooms: A Food with Promising Health Claims

2014· article· en· W1990225878 on OpenAlexvenueno aff
Viviana Loria‐Kohen, Thais Lourenço-Nogueira, Isabel Espinosa‐Salinas, Francisco Marı́n, Cristina Soler‐Rivas, Ana Ramı́rez de Molina

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsnot available
FundersMinisterio de Ciencia e InnovaciónEuropean CommissionComunidad de Madrid
KeywordsHealth benefitsMushroomFlavorErgosterolFunctional foodBiotechnologyFood scienceNutraceuticalMedicineBiologyTraditional medicineBiochemistry

Abstract

fetched live from OpenAlex

Over the past two decades, there has been a steady flow of publications about the health effects related to mushrooms consumption. They represent a valuable source of protein, present high levels of fiber, some vitamins and minerals, and they also have reduced amount of fat and sodium. In addition, their complex carbohydrates profile can strengthen considerably the immune system.Edible mushrooms have been related to significant functional properties due to their bioactive compounds, such as eritadenine, phenolic compounds, sterols (as ergosterol), chitosan, etc., These substances are considered as important agents in the prevention and treatment of different health conditions like obesity, diabetes, or cardiovascular disease. However, it is important to remember that most of scientific studies are made in animal models and, therefore, some evidences regarding mushroom consumption have yet to be confirmed in clinical trials.Despite of the growing appeal for humans by their medicinal effects and nutritional value, mushrooms are also very appreciated for their texture, flavor, and versatility in culinary. They can be easily incorporated into any kind of dish, improving the dietary diversity without adding many calories.The information presented in this review point out that the positive effect of mushrooms on health is beyond basic nutrition. Therefore, it is very valuable expanding our knowledge about mushrooms, in order to identify all their active principles and the mechanisms involved in each health benefit, getting aware about the doses required to achieve that, in a safe range for humans.

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 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.078
GPT teacher head0.331
Teacher spread0.254 · 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 teacher head, 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

Citations23
Published2014
Admission routes1
Has abstractyes

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