Prediction of disease onset and diagnosis of disease type by serum antibody markers corresponding to ischemic stroke

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K17953
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 56010:Neurosurgery-related
• Research Institution: Chiba University
• Principal Investigator: Yoshida Yoichi 千葉大学, 大学院医学研究院, 特任講師 (30861322)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 脳梗塞 / バイオマーカー / 自己抗体 / 動脈硬化

Outline of Final Research Achievements

In the course of identifying new markers, we published nine papers on 12 markers during this study period. Each marker is characterized by significantly elevated levels not only in cerebral infarction but also in arteriosclerosis-related diseases and various types of cancer, and we consider them to be useful markers.
In addition, we verified whether the combination of multiple existing markers can improve diagnostic accuracy, and found that it can predict the onset of cerebral infarction with higher accuracy than a single marker. Since we were able to demonstrate that the diagnostic accuracy can be further improved by incorporating protein function analysis and machine learning, we will proceed to clinical application.

Free Research Field

脳神経外科

Academic Significance and Societal Importance of the Research Achievements

脳梗塞に関与するバイオマーカーは確立しておらず、本研究で得られたマーカーは新規性が高い。さらにマーカーを組み合わせることで高い精度で脳梗塞発症を予測できることがわかり、予防が重要な脳梗塞診療においてマーカーの優位性は高いと考える。