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Record W4406247616 · doi:10.56871/cmn-w.2024.11.68.007

ГЕНЕТИЧЕСКИЕ И ЭПИГЕНЕТИЧЕСКИЕ ФАКТОРЫ В ГЕНЕЗЕ ВОСПАЛИТЕЛЬНЫХ ЗАБОЛЕВАНИЙ КИШЕЧНИКА

2024· article· ru· W4406247616 on OpenAlexaboutno aff
Н. М. Богданова, Кира Александровна Кравцова

Bibliographic record

VenueChildren s medicine of the North-West · 2024
Typearticle
Languageru
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsInflammatory bowel diseaseUlcerative colitisMedicineEtiologyImmunologyImmune systemDysbiosisDiseaseGut floraParenteral nutritionVitamin D and neurologyGenetic predispositionEnteral administrationInternal medicine

Abstract

fetched live from OpenAlex

Воспалительные заболевания кишечника (ВЗК) объединяют язвенный колит и болезнь Крона, ко-торые характеризуются хроническим воспалением в гастроинтестинальном тракте. Заболевания имеютмногофакторную этиологию, включая генетическую предрасположенность, микробиоту кишечника, факторы окружающей среды, диету, образ жизни и социально-экономический статус. Во всем мире наблюдается неуклонный рост ВЗК, особенно в странах Скандинавии, Северной Америке, Канаде, Израиле. Вклад диеты в развитие и лечение ВЗК огромен. В 2020 году Европейское общество парентерального и энтерального питания (ESPEN — European Society of Parenteral and Enteral Nutrition) опубликовало рекомендации по диетотерапии при данной патологии и представило информацию о влиянии еды на риск развития данных заболеваний. Показано, что использование молочных продуктов может иметь преимущественно защитный эффект в этиологии как болезни Крона, так и язвенного колита. Хотя четкой зависимости «доза–реакция» не установлено, глютен способен запускать врожденный и адаптивный иммунный ответ, ответственный за воспаление кишечника. Кроме этого, имеются сообщения, которые указывают на целиакию как на потенциальный фактор риска ВЗК. Представлены доказательства того, что микробиота и витамин D играют важную роль в стимуляции и регуляции иммунной системы. В свою очередь, дисбиоз кишечника может быть либо причиной локального воспаления кишечника, либо одним из потенциальных факторов, приводящих к хроническому воспалению, так же как и дефицит витамина D. Infl ammatory bowel disease (IBD) includes ulcerative colitis (UC) and Crohn’s disease (CD), which are characterized by chronic infl ammation in the gastrointestinal tract. The diseases have a multifactorial etiology, including genetic predisposition, gut microbiota, environmental factors, diet, lifestyle, and socioeconomic status. There is a steady increase in IBD throughout the world, especially in Scandinavia, North America, and Canada, Israel. The contribution of diet to the development and treatment of IBD is enormous. In 2020, the European Society for Enteral and Parenteral Nutrition (ESPEN) published recommendations on dietary management for IBD and provided information on the impact of food on the risk of developing diseases. It has been shown that the use of dairy products may have a predominantly protective eff ect in the etiology of CD and UC, although a clear dose-response relationship has not been established; Gluten is capable of triggering innate and adaptive immune responses responsible for intestinal infl ammation. In addition, there are reports that point to celiac disease as a potential risk factor for IBD. Evidence is presented that the microbiota and vitamin D play an important role in stimulating and regulating the immune system. In turn, intestinal dysbiosis observed in patients with IBD may be either a cause of local intestinal infl ammation or potentially one of the factors leading to chronic infl ammation in IBD, as well as vitamin D deficiency.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.008
Scholarly communication0.0130.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0260.009

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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