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Record W1994595080

Nutrition and Intestinal Microflora

2013· article· en· W1994595080 on OpenAlexvenueno aff
Guadalupe García-Elorriaga, Guillermo del Rey-Pineda

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyMicrobiologyLactobacillusMicrobiomeProbioticBifidobacteriumIrritable bowel syndromeEubacteriumDysbiosisBacteriaGut floraImmunologyMedicineBioinformaticsInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The intestinal microflora is a complex ecosystem composed of numerous genera, species and strains of bacteria. This enormous cell mass performs a variety of unique activities that affect both the colonic and systemic physiology. The gut is colonized by a small number of bacterial species; Lactobacillus and Bifidobacteria spp. are seldom, if ever, identified. The predominant species are Enterococcus faecalis, E. coli, Enterobacter cloacae, Klebsiella pneumoniae, Staphylococcus epidermidis and Staphylococcus haemolyticus. Hygienic conditions and antimicrobial procedures strongly influence the intestinal colonization pattern. But, when large numbers of bacteria colonize the small intestine, a syndrome known as small intestinal bacterial overgrowth (SIBO) occurs. Nutrient malabsorption is a hallmark of the disorder and can result in a multitude of problems for the host. New links between SIBO and disease entities such as irritable bowel syndrome (IBS), provide intriguing new insights into the pathophysiology of the syndrome. On the other hand, in addition to its role in digestion of food in the gastrointestinal tract, intestinal microflora are also capable of biotransforming numerous drugs. Likewise, intestinal microflora may significantly modulate xenobiotic-induced toxicity by either metabolically activating or inactivating xenobiotics. We herewith present a review of the research on the importance of intestinal microflora and nutrition. Probiotics can introduce missing microbial components with known beneficial functions to the human host. Prebiotics can enhance the proliferation of beneficial microorganisms or probiotics, to maximize sustainable changes in the human microbiome. In addition, among the numerous purported health benefits attributed to probiotic bacteria, their capacity to interact with the host’s immune system is now supported by an increasing number of experiments. In addition to these, a few trials aimed at preventing chronic immune dysregulation have been reported. The identification of major immunomodulatory compounds in probiotics, and their interaction with immunocompetent cells as well as the role of secretory IgA in gut homeostasis are also evoked.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.282

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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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