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Record W1518650043 · doi:10.5772/25583

Natural Products and Dermatological Hypersensitivity Diseases

2012· book-chapter· en· W1518650043 on OpenAlexaff
Clayton MacDonald, Marianna Kulk

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsNatural (archaeology)DermatologyMedicineBiology

Abstract

fetched live from OpenAlex

In children with a family history of atopic diseases, research has been focused towards the effects of maternal diet during pregnancy, lactation, and then subsequently in the infant when and which foods are introduced.Of particular interest is the effect of probiotics on the development of allergies which will be discussed below (section 4.2.4).In patients with food allergies triggers are eliminated from the diet, however other foods have been suggested which might be beneficial to allergy suffers.Some of these compounds include poly-unsaturated fatty acids (PUFA); Vitamins C (Chang et al., 2009), D, E, Zinc, Selenium.However, these findings have been meet with mixed results (Finch et al., 2010). Medical treatmentMedical treatments are initiated as the severity of symptoms become worse and the disease becomes intolerable (Schmitt et al., 2008).For each condition, drug classes have been recommended to be added in a specific order/time in the treatment schedule.However, due to the nature of these conditions treatment is individually tailored depending on patient response and their tolerance of the side effects.These patients follow a defined treatment plan consisting of pharmacological classes, based on their indications and complications.When treatment is initiated for a patient, the success of treatment always needs to balance with the side effect the treatment has on patient quality of life.(R. Finkel et al., 2009).The following is a brief overview of some conventional treatments for hypersensitivity disease such as sterioids and anti-histamines.Some of these compounds originated from natural sources but have been modified extensively to improve both their efficacy and potency.As such, these medications are not strictly considered "naturally sourced."In section 3 below, we will address "naturally sourced" treatments for comparison. CorticosteroidsCorticosterioids are a class of steroid hormones that are frequently used as a first line treatment in many immunological and dermatological diseases (Richard Finkel, 2009).They can be classified as short to long acting (1-55+ hours) and are applied topically or systematically.They are very effective at mitigating inflammation; however, their side effects limit their long term use.Many of the new treatments are being sought as corticosteroids sparing alternatives (Del Rosso & Friedlander, 2005).Mechanism of Action: Corticosteroids bind intracellular receptors forming dimers that bind to the glucocorticoid response element of the promoter region of steroid responsive genes, which up regulates 10-100 genes (Bolognia et al., 2008).They also act by inhibiting nuclear factor kB (NF-κB) which dramatically decreases the inflammatory response through the down regulation of certain cytokines, cell adhesion molecules and other inflammatory mediators.(Ex: TNFα, GM-CSF, several interleukins (ex.Il-1, IL-2, IL-6, Il-8); Intercellular adhesion molecule-1 and E-selectin; cyclooxygenase, etc).(D'Acquisto et al.,

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.254
Teacher spread0.232 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes1
Has abstractyes

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