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Record W3199492226 · doi:10.25555/thr.2021.3.0982

Genetic aspects of aspirin resistance in patients with cerebrovascular pathology

2021· article· ru· W3199492226 on OpenAlexaboutno aff
А. А. Корнилова, М.М. Танашян, Anton A. Raskurazhev, А.А. Шабалина, Е.В. Ройтман

Bibliographic record

VenueТромбоз гемостаз и реология · 2021
Typearticle
Languageru
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAspirinInternal medicineStroke (engine)Montreal Cognitive AssessmentObservational studyDiseaseCognitive impairment

Abstract

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Введение. Цереброваскулярные заболевания (ЦВЗ) и нарушения мозгового кровообращения (НМК) остаются одной из основных причин смерти во всем мире. Доказана генетическая составляющая возникновения НМК, генетические полиморфизмы могут изменять ответ на фармакологические агенты. Ацетилсалициловая кислота (АСК) — «золотой стандарт» антиагрегантного лечения ЦВЗ. С начала XXI века в мировой науке накопились факты о недостаточном эффекте АСК, в связи с чем возник термин аспиринорезистентность. Цель исследования: оценка вклада гемореологических и генетических факторов в возникновение феномена аспиринорезистентности у пациентов с ЦВЗ. Материалы и методы. В настоящее проспективное рандомизированное контролируемое наблюдательное исследование были включены 186 пациентов с ЦВЗ в возрасте 45–75 лет. Все пациенты получали 75 мг АСК ежедневно. Наряду с комплексным клиническим обследованием, оценкой когнитивного статуса и приверженности к лечению, проводилась лабораторная оценка функции тромбоцитов, развернутый биохимический анализ крови, идентификация полиморфизмов A842G гена циклооксигеназы 1-го типа (ЦОГ-1) (rs 10306114), С50Т ЦОГ-1 (rs3842787) и А1676G ЦОГ-1 (rs1330344). Статистическая обработка выполнена с использованием программ IBM SPSS Statistics. Результаты. Выявлена положительная взаимосвязь между уровнем агрегации тромбоцитов (АТ) с аденозиндифосфатом (АТ-АДФ) и адреналином и (АТ-адр) и пробой АСК in vitro (r = 0,722 и r = 0,689; р < 0,001). Обнаружена отрицательная взаимосвязь между АТ-АДФ и баллом по Монреальской шкале оценки когнитивных функций (англ. Montreal Cognitive Assessment, MoCA) и приверженностью к лечению (r = –0,845; p = 0,001). На основании анализа АТ все обследованные были подразделены на АСК-нечувствительных (группа 1, n = 100) и АСК-чувствительных (группа 2, n = 86). В группе АСК-нечувствительных наблюдалось больше пациентов, несущих хотя бы один аллель G полиморфизма гена ЦОГ-1 rs1330344 по сравнению с пациентами в группе ACK-чувствительных (60,4% против 47,7%; p < 0,01). Наличие rs1330344 часто ассоциировано с сахарным диабетом 2-го типа (отношение шансов = 3,749; 95% доверительный интервал = 1,937–7,254; p = 0,001). Полиморфизм ЦОГ-1 C50T (rs3842787) по данным логистической регрессии связан с АТ-Адр (r = 0,845; р < 0,001). Заключение. Среди причин аспиринорезистентности у пациентов с ЦВЗ следует учитывать генетические аспекты. Background. Cerebrovascular disease (CVD) and stroke remain one of the leading causes of death worldwide. The genetic component of stroke has been proven; genetic polymorphisms can alter the response to pharmacological agents. Acetylsalicylic acid (ASA) is the “gold standard” for antiplatelet treatment of CVD. Since the beginning of the XXI century, the world science has accumulated facts about the insufficient effect of ASA, so the term aspirin resistance appeared. Objectives: to assess hemorheological and genetic factors to the occurrence of the phenomenon of aspirin resistance in patients with CVD. Patients/Methods. This prospective randomized controlled observational study included 186 patients with CVD, aged 45–75 years. All patients received 75 mg ASA daily. Clinical examination, assessment of cognitive status and compliance to treatment, a laboratory assessment of platelet function, a detailed biochemical blood test, identifi cation of A842G polymorphisms of type 1 cyclooxygenase (COX-1) gene (rs 10306114), C50T COX-1 (rs3842787) and A1676G COX-1 (rs3842787) and A1676G COX-1 (rs1330344) were performed. Statistics was carried out using the IBM SPSS Statistics software. Results. The positive correlation was found between platelet aggregation (РА) with adenosine diphosphate (РА-ADP) and adrenaline (РА-Аdr) and an in vitro test with ASA (r = 0.722 and r = 0.689; p < 0.001). A negative correlation was found between РА-ADP and the Montreal Cognitive Assessment (MoCA) score for compliance to treatment (r = –0,845; p = 0,001). Based on the analysis of PA, all examined patients were divided into ASA-insensitive (group 1, n = 100) and ASA-sensitive (group 2, n = 86). In the ASA-insensitive group, there were more patients carrying at least one G allele of the COX-1 gene rs1330344 polymorphism compared with patients in the ACK-sensitive group (60.4% versus 47.7%; p < 0.01). The presence of rs1330344 is often associated with type 2 diabetes mellitus (OR = 3.749; 95% СI = 1.937–7.254; p = 0.001). C50T polymorphism of COX-1 (rs3842787) according to logistic regression is associated with AT-Adr (r = 0.845; p < 0.001). Conclusions. Genetic aspects should be considered among the causes of aspirin resistance in patients with CVD.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.211
Teacher spread0.201 · 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".

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Published2021
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