Help ?

IGMIN: あなたがここにいてくれて嬉しいです. お願いクリック '新しいクエリを作成してください' 当ウェブサイトへの初めてのご訪問で、さらに情報が必要な場合は.

すでに私たちのネットワークのメンバーで、すでに提出した質問に関する進展を追跡する必要がある場合は, クリック '私のクエリに連れて行ってください.'

Subjects Content

Welcome to IgMin Research – an Open Access journal uniting Biology Group, Medicine Group, and Engineering Group. We’re dedicated to advancing global knowledge and fostering collaboration across scientific fields.

Biology Group

The Biology Group explores diverse topics in life sciences, providing open access to cutting-edge research and fostering global collaboration in biological studies.

Medicine Group

The Medicine Group focuses on advancing medical knowledge through open access research, promoting innovation, and encouraging global collaboration in healthcare studies.

Engineering Group

The Engineering Group showcases cutting-edge research across engineering fields, providing open access and encouraging global collaboration and innovation.

General Science Group

The General Science Group covers a broad range of scientific disciplines, offering open access to research that drives innovation and fosters global collaboration.

Members Content

Our purpose is to unite scientific minds for collaborative efforts that yield quick knowledge expansion.

Articles Content

Our purpose is to unite scientific minds for collaborative efforts that yield quick knowledge expansion.

Identify Us

Our purpose is to unite scientific minds for collaborative efforts that yield quick knowledge expansion.

IgMin Corporation

Welcome to IgMin, a leading platform dedicated to enhancing knowledge dissemination and professional growth across multiple fields of science, technology, and the humanities. We believe in the power of open access, collaboration, and innovation. Our goal is to provide individuals and organizations with the tools they need to succeed in the global knowledge economy.

Publications Support
publications.support@igmin.org
E-Books Support
ebooks.support@igmin.org
Webinars & Conferences Support
webinarsandconference@igmin.org
Content Writing Support
contentwriting.support@igmin.org

Search

Explore Section

Content for the explore section slider goes here.

Abstract

要約 at IgMin Research

Our purpose is to unite scientific minds for collaborative efforts that yield quick knowledge expansion.

Biology Group Mini Review 記事ID: igmin143

The Model for Clinical, Laboratory, and Genetic Prediction of Recurrent Ischemic Stroke against the Background of Laboratory Aspirin Resistance using Machine Learning

Molecular Biology Affiliation

Affiliation

    Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia

    Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia

    Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia

    Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, Russia

    Engelhardt Institute of Molecular Biology RAS, Moscow, Russia

    Engelhardt Institute of Molecular Biology RAS, Moscow, Russia

要約

The aim of the study was to determine the incidence of laboratory aspirin resistance; and to study the associations of genetic markers and clinical and laboratory parameters (including parameters of the platelet hemostasis) in patients with non-cardioembolic ischemic stroke using machine learning methods to assess the prognosis of recurrent ischemic strokes. Clinical and laboratory data (including induced platelet aggregation) were analyzed from 296 patients with ischemic stroke who were treated in the stroke center of City Clinical Hospital No. 1 named after. N.I. Pirogov. The frequencies of polymorphic variants of the ITGB3, GPIba, TBXA2R, ITGA2, PLA2G7, HMOX1, PTGS1, PTGS2, ADRA2A, ABCB1, PEAR1 genes and intergenic region 9p21.3) in patients with non-cardioembolic ischemic stroke, which were identified using hydrogel biochip technology, were determined. Using the developed machine learning model, additional clinical and genetic factors influencing the development of laboratory aspirin resistance and recurrent ischemic stroke were studied. In the future, the identified factors can be used for differentiated prevention of recurrent ischemic strokes.

数字

参考文献

    1. Anisimova AV, Gunchenko AS, Ikonnikova AY, Galkin SS, Avdonina MA, Nasedkina TV. Kliniko-geneticheskiĭ analiz faktorov riska razvitiia ostroĭ i khronicheskoĭ ishemii golovnogo mozga [A clinical and genetic analysis of risk factors for the development of acute and chronic cerebral ischemia]. Zh Nevrol Psikhiatr Im S S Korsakova. 2019;119(3. Vyp. 2):62-67. Russian. doi: 10.17116/jnevro201911903262. PMID: 31184626.
    2. Anisimova AV, Gunchenko AS, Avdonina MA, Ikonnikova AU, Nasedkina TV. Clinical features and genetic risk factors in the development of ischemic stroke. Ural Medical Journal. 2017; T. 153: 9.
    3. Anisimova AV, Gendlin GE, Borisov SN. [Prevention of stroke in patients with atrial fibrillation: a role of modern anticoagulants]. Zh Nevrol Psikhiatr Im S S Korsakova. 2013;113(9 Pt 2):62-9. Russian. PMID: 24107898.
    4. Galkin SS, Gunchenko AS, Abdukhalikova Z, Yutskova EV, Anisimova AV. Dinamika pokazatelei trombotsitarnogo gemostaza u patsientov s kardioembolicheskim insul'tom [Dynamics of platelet hemostasis indices in patients with cardioembolic stroke against the background of atrial fibrillation]. Zh Nevrol Psikhiatr Im S S Korsakova. 2021;121(12. Vyp. 2):62-68. Russian. doi: 10.17116/jnevro202112112262. PMID: 35044128.
    5. Storozhakov GI, Gendlin GE, Anisimova AV, Melekhov AV, Ostrovskaya YI. Taktika antigipertenzivnoĭ terapii u patsientov s gipertonicheskim krizom, oslozhnennym gemorragicheskim insul'tom [Tactics of antihypertensive therapy in patients with hypertonic crisis complicated with hemorrhagic stroke]. Zh Nevrol Psikhiatr Im S S Korsakova. 2015;115(3 Pt 2):12-19. Russian. doi: 10.17116/jnevro2015115312-19. PMID: 26120992.
    6. Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, Marsh EE 3rd. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993 Jan;24(1):35-41. doi: 10.1161/01.str.24.1.35. PMID: 7678184.
    7. Saini V, Guada L, Yavagal DR. Global Epidemiology of Stroke and Access to Acute Ischemic Stroke Interventions. Neurology. 2021 Nov 16;97(20 Suppl 2):S6-S16. doi: 10.1212/WNL.0000000000012781. PMID: 34785599.
    8. Potter TBH, Tannous J, Vahidy FS. A Contemporary Review of Epidemiology, Risk Factors, Etiology, and Outcomes of Premature Stroke. Curr Atheroscler Rep. 2022 Dec;24(12):939-948. doi: 10.1007/s11883-022-01067-x. Epub 2022 Nov 14. PMID: 36374365; PMCID: PMC9660017.
    9. Feigin VL, Brainin M, Norrving B, Martins S, Sacco RL, Hacke W, Fisher M, Pandian J, Lindsay P. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022. Int J Stroke. 2022 Jan;17(1):18-29. doi: 10.1177/17474930211065917. Erratum in: Int J Stroke. 2022 Apr;17(4):478. PMID: 34986727.
    10. Pohl M, Hesszenberger D, Kapus K, Meszaros J, Feher A, Varadi I, Pusch G, Fejes E, Tibold A, Feher G. Ischemic stroke mimics: A comprehensive review. J Clin Neurosci. 2021 Nov;93:174-182. doi: 10.1016/j.jocn.2021.09.025. Epub 2021 Sep 20. PMID: 34656244.
    11. Zheng S, Yao B. Impact of risk factors for recurrence after the first ischemic stroke in adults: A systematic review and meta-analysis. J Clin Neurosci. 2019 Feb;60:24-30. doi: 10.1016/j.jocn.2018.10.026. Epub 2018 Oct 16. PMID: 30340974.
    12. Fernández-Cadenas I, Mendióroz M, Giralt D, Nafria C, Garcia E, Carrera C, Gallego-Fabrega C, Domingues-Montanari S, Delgado P, Ribó M, Castellanos M, Martínez S, Freijo M, Jiménez-Conde J, Rubiera M, Alvarez-Sabín J, Molina CA, Font MA, Grau Olivares M, Palomeras E, Perez de la Ossa N, Martinez-Zabaleta M, Masjuan J, Moniche F, Canovas D, Piñana C, Purroy F, Cocho D, Navas I, Tejero C, Aymerich N, Cullell N, Muiño E, Serena J, Rubio F, Davalos A, Roquer J, Arenillas JF, Martí-Fábregas J, Keene K, Chen WM, Worrall B, Sale M, Arboix A, Krupinski J, Montaner J; GRECOS Study Group. GRECOS Project (Genotyping Recurrence Risk of Stroke): The Use of Genetics to Predict the Vascular Recurrence After Stroke. Stroke. 2017 May;48(5):1147-1153. doi: 10.1161/STROKEAHA.116.014322. Epub 2017 Apr 14. PMID: 28411264; PMCID: PMC5473776.
    13. Pezzini A, Grassi M, Del Zotto E, Lodigiani C, Ferrazzi P, Spalloni A, Patella R, Giossi A, Volonghi I, Iacoviello L, Magoni M, Rota LL, Rasura M, Padovani A. Common genetic markers and prediction of recurrent events after ischemic stroke in young adults. Neurology. 2009 Sep 1;73(9):717-23. doi: 10.1212/WNL.0b013e3181b59aaf. PMID: 19720979.
    14. Ding L, Liu Y, Meng X, Jiang Y, Lin J, Cheng S, Xu Z, Zhao X, Li H, Wang Y, Li Z. Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke. Signal Transduct Target Ther. 2023 May 30;8(1):222. doi: 10.1038/s41392-023-01465-w. PMID: 37248226; PMCID: PMC10227023.
    15. Dash P, Singh VK, Gautam D, Pathak A, Kumar A, Mishra SP, Dash D, Mishra VN, Joshi D, Chaurasia RN. Aspirin resistance and blood biomarkers in predicting ischemic stroke recurrence: An exploratory study. Brain Circ. 2022 Mar 21;8(1):31-37. doi: 10.4103/bc.bc_75_21. PMID: 35372727; PMCID: PMC8973447.
    16. Parsa-Kondelaji M, Mansouritorghabeh H. Aspirin and clopidogrel resistance; a neglected gap in stroke and cardiovascular practice in Iran: a systematic review and meta-analysis. Thromb J. 2023 Jul 27;21(1):79. doi: 10.1186/s12959-023-00522-2. PMID: 37501091; PMCID: PMC10373335.
    17. Ross S, Krebs K, Paré G, Milani L. Pharmacogenomics in Stroke and Cardiovascular Disease: State of the Art. Stroke. 2023 Jan;54(1):270-278. doi: 10.1161/STROKEAHA.122.037717. Epub 2022 Nov 3. PMID: 36325912.
    18. Morton M, Kubiak-Balcerewicz K, Sarnowska A, Fiszer U. Biochemical aspirin resistance in acute stroke patients and its association with clinical factors: a prospective pilot study. Folia Neuropathol. 2021;59(3):271-275. doi: 10.5114/fn.2021.109434. PMID: 34628792.
    19. Wang H, Yuan J, Wang Y, Chen J. To study the mechanism of panax notoginseng in the treatment of aspirin resistance in the secondary prevention of stroke based on TLR4/MyD88/NF-κB signaling pathway: A study protocol. Medicine (Baltimore). 2022 Dec 16;101(50):e31919. doi: 10.1097/MD.0000000000031919. PMID: 36550905; PMCID: PMC9771212.
    20. Venketasubramanian N, Agustin SJ, Padilla JL, Yumul MP, Sum C, Lee SH, Ponnudurai K, Gan RN. Comparison of Different Laboratory Tests to Identify "Aspirin Resistance" and Risk of Vascular Events among Ischaemic Stroke Patients: A Double-Blind Study. J Cardiovasc Dev Dis. 2022 May 12;9(5):156. doi: 10.3390/jcdd9050156. PMID: 35621867; PMCID: PMC9145610.
    21. Li Z, Dong W, Yang D, Sun L, He X, Hu H, Zhang J, Wang C, Li Y, Zhao M, Kong Y, Wang Y. Body weight, CYP2C19, and P2Y12 receptor polymorphisms relate to clopidogrel resistance in a cohort of Chinese ischemic stroke patients with aspirin intolerance. Eur J Clin Pharmacol. 2020 Nov;76(11):1517-1527. doi: 10.1007/s00228-020-02946-5. Epub 2020 Jul 6. PMID: 32632713.
    22. Wiśniewski A, Filipska K, Sikora J, Kozera G. Aspirin Resistance Affects Medium-Term Recurrent Vascular Events after Cerebrovascular Incidents: A Three-Year Follow-up Study. Brain Sci. 2020 Mar 19;10(3):179. doi: 10.3390/brainsci10030179. PMID: 32204465; PMCID: PMC7139350.
    23. Alhazzani A, Venkatachalapathy P, Padhilahouse S, Sellappan M, Munisamy M, Sekaran M, Kumar A. Biomarkers for Antiplatelet Therapies in Acute Ischemic Stroke: A Clinical Review. Front Neurol. 2021 Jun 10;12:667234. doi: 10.3389/fneur.2021.667234. PMID: 34177775; PMCID: PMC8222621.
    24. Silva GFD, Lopes BM, Moser V, Ferreira LE. Impact of pharmacogenetics on aspirin resistance: a systematic review. Arq Neuropsiquiatr. 2023 Jan;81(1):62-73. doi: 10.1055/s-0042-1758445. Epub 2023 Mar 14. PMID: 36918009; PMCID: PMC10014202.
    25. Dorogush Veronika A, Ershov V, Gulin A. CatBoost: Gradient boosting with categorical features support. ArXiv. 2018; arXiv: 1810.11363.
    26. Lundberg Scott M, Lee S. A unified approach to interpreting model predictions. Adv. Neural Inf. Process. Syst. 2017; 30: 4768-4777.

類似の記事

Peritoneal Carcinomatosis from Ovarian Cancer: A Case Report
Andrea González De Godos, Enrique Asensio Diaz, Pilar Pinto Fuentes, Baltasar Pérez Saborido and David Pacheco Sánchez
DOI10.61927/igmin181
System for Detecting Moving Objects Using 3D Li-DAR Technology
Md. Milon Rana, Orora Tasnim Nisha, Md. Mahabub Hossain, Md Selim Hossain, Md Mehedi Hasan and Md Abdul Muttalib Moon
DOI10.61927/igmin167
Association and New Therapy Perspectives in Post-Stroke Aphasia with Hand Motor Dysfunction
Shuo Xu, Chengfang Liang, Shaofan Chen, Zhiming Huang and Haoqing Jiang
DOI10.61927/igmin141
Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
Subah Nanda, Amanda Schoonover, Jasman Kaur, Annie Vu, Erica Tavares, Angela Zamarripa, Christian Kolacki, Lindsey Ouellette and Jeffrey Jones
DOI10.61927/igmin251
Lifestyle and Well-being among Portuguese Firefighters
Laura Carmona, Raquel Pinheiro, Joana Faria-Anjos, Sónia Namorado and Maria José Chambel
DOI10.61927/igmin146

ソーシャルアイコン

研究を公開する

私たちは、科学、技術、工学、医学に関する幅広い種類の記事を編集上の偏見なく公開しています。

提出する

見る 原稿のガイドライン 追加 論文処理料

IgMin 科目を探索する
グーグルスカラー
welcome Image

Google Scholarは2004年11月にベータ版が発表され、幅広い学術領域を航海する学術ナビゲーターとして機能します。それは査読付きジャーナル、書籍、会議論文、論文、博士論文、プレプリント、要約、技術報告書、裁判所の意見、特許をカバーしています。 IgMin の記事を検索