고성호 (한양대학교 의과대학)

한빛사논문

조회278

한양대학교 의과대학

CV File 268 kb

Alzheimers. Dement., 2023 Mar 29 | https://doi.org/10.1002/alz.13054 Predicting cognitive stage transition using p-tau181, Centiloid, and other measures

Hyuk Sung Kwon ¹, Ji Young Kim ², Seong-Ho Koh ¹, Seong Hye Choi ³, Eun-Hye Lee ¹, Jee Hyang Jeong ⁴, Jae-Won Jang ⁵, Kyung Won Park ⁶, Eun-Joo Kim⁷, Jin Yong Hong ⁸, Soo Jin Yoon ⁹, Bora Yoon ¹⁰, Hyun-Hee Park ¹, Myung Hoon Han ¹¹

¹Department of Neurology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea.
²Department of Nuclear Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea.
³Department of Neurology, Inha University College of Medicine, Incheon, Republic of Korea.
⁴Department of Neurology, Ewha Womans University School of Medicine, Seoul, Republic of Korea.
⁵Department of Neurology, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.
⁶Department of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan, Republic of Korea.
⁷Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea.
⁸Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
⁹Department of Neurology, Eulji University Hospital, Eulji University School of Medicine, Daejeon, Republic of Korea.
¹⁰Department of Neurology, Konyang University College of Medicine, Daejeon, Republic of Korea.
¹¹Department of Neurosurgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea.

Hyuk Sung Kwon and Ji Young Kim are equal first authors.
Seong-Ho Koh and Seong Hye Choi contributed equally as co-senior authors.
CORRESPONDING AUTHOR : Seong-Ho Koh

Abstract

Background: A combination of plasma phospho-tau (p-tau), amyloid beta (Aβ)-positron emission tomography (PET), brain magnetic resonance imaging, cognitive function tests, and other biomarkers might predict future cognitive decline. This study aimed to investigate the efficacy of combining these biomarkers in predicting future cognitive stage transitions within 3 years.

Methods: Among the participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE-V) study, 49 mild cognitive impairment (MCI) and 113 cognitively unimpaired (CU) participants with Aβ-PET and brain imaging data were analyzed.

Results: Older age, increased plasma p-tau181, Aβ-PET positivity, and decreased semantic fluency were independently associated with cognitive stage transitions. Combining age, p-tau181, the Centiloid scale, semantic fluency, and hippocampal volume produced high predictive value in predicting future cognitive stage transition (area under the curve = 0.879).

Conclusions: Plasma p-tau181 and Centiloid scale alone or in combination with other biomarkers, might predict future cognitive stage transition in non-dementia patients.

Highlights: -Plasma p-tau181 and Centiloid scale might predict future cognitive stage transition. -Combining them or adding other biomarkers increased the predictive value. -Factors that independently associated with cognitive stage transition were demonstrated.

논문정보

형식Research article
게재일2023년 03월 (BRIC 등록일 2023-05-30)
연구진국내 연구진
분야 의약학 > 응용의학

댓글 작성 로그인

CV 열람하기

연락처 보기