Elsevier

Neurobiology of Aging

Volume 114, June 2022, Pages 27-37
Neurobiology of Aging

Regular Article
Ethnic differences in the frequency of β-amyloid deposition in cognitively normal individuals

https://doi.org/10.1016/j.neurobiolaging.2022.03.001Get rights and content

Abstract

We investigated which factors might explain the differences between the frequencies of brain β-amyloid (Aβ) deposition in Korean and European cognitively normal individuals (CNs). We recruited 434 Korean CNs from the Samsung Medical Center (SMC) and 323 European CNs from the US Alzheimer's Disease Neuroimaging Initiative (ADNI). The Korean CNs showed lower education duration (11.8 ± 4.8 years vs. 16.8 ± 2.5 years, p < 0.001) than the European CNs. The frequency of Aβ (+) was higher in the European CNs (32.8%) than in the Korean CNs (20.0%; p < 0.001). In the SMC genome-wide association study (GWAS), 10 variants (including rs7481773 on chromosome 11, located near the brain-derived neurotrophic factor gene) exceeded the genome-wide significance level (p < 5 × 10−8). Especially, rs7481773 carriers showed more rapid decline in memory function than non–carriers (p = 0.048). However, this association was not observed in the ADNI GWAS. Our findings suggested that the different frequencies of Aβ (+) between CN Koreans and Europeans might be related to decreased cognitive reserve or genetic factors.

Introduction

Cerebral β-amyloid (Aβ) deposition is the earliest recognizable pathologic change in Alzheimer's disease (AD) (Bateman et al., 2012). In particular, the prevalence estimates of Aβ pathology and their related factors in cognitively normal (CN) individuals are required to understand the disease progression of AD and to design AD studies (Jansen et al., 2015).

The risk of AD dementia is substantially driven by cultural and genetic factors (Kunkle et al., 2019). Several factors related to cognitive reserve, including education (Stern et al., 2020) and socioeconomic status in childhood, may affect the development of dementia. The apolipoprotein E (APOE) ε4 allele is an important risk factor for the development of AD dementia. A recent genome-wide association study (GWAS) reported over 20 genetic loci that were associated with the development of AD (Jansen et al., 2019). Furthermore, specific genetic variants have exhibited different associations with AD in Europeans drawn from the US and other countries and Asians drawn from several countries in Asia (Han et al., 2018; Han et al., 2019). Thus, it would be reasonable to expect genetic variants to exhibit associations with Aβ in specific populations, resulting differences in Aβ positivity among ethnic groups. In fact, differences have been observed in the frequency of amyloid positivity in CN across different populations despite including a relatively small number of non–European participants, including Asian individuals (Sperling et al., 2020).

In the present study, we compared the frequency of Aβ (+) in CN populations between a Korean, and a European cohort based on the Alzheimer's Disease Neuroimaging Initiative (ADNI). We investigated which factors, including age, sex, education level, and genetics, contributed to the difference in the frequency of Aβ (+) in CN populations between these 2 ethnically different cohorts.

Section snippets

Participants

A total of 494 CN individuals were recruited at the Samsung Medical Center (SMC), Seoul, Korea from September 2015 to December 2018. The data of normal controls recruited from our memory clinic were obtained to undergo comparisons with those of AD patients, including those of their CN spouses. Several participants complained of memory impairments but exhibited no abnormalities in their objective cognitive test results. All participants had to meet the ADNI CN criteria to be diagnosed as CN (//adni.loni.usc.edu/methods/documents/

Clinical and demographic characteristics of participants

The clinical and demographic characteristics of the participants are described in Table 1. The individuals in the SMC data showed younger ages (70.5 ± 7.3 years vs. 72.6 ± 6.1 years, p < 0.001) and lower education duration (11.8 ± 4.8 years vs. 16.8 ± 2.5 years, p < 0.001) than the ADNI data. The frequency of APOE ε4 carriers tended to be higher in the ADNI dataset (29.7%) than in the SMC dataset (23.7%) (p = 0.064). The frequency of Aβ (+) was higher in the ADNI dataset (32.8%) than in the SMC

Discussion

We compared the frequency of Aβ (+) in CN individuals between Korean and European participants and investigated which factors explained the difference in these frequencies according to ethnicity. The major findings of our study are as follows. First, the frequency of Aβ (+) in CN individuals was significantly lower in Korean participants than in European participants. The Korean CNs showed lower education duration, which is generally considered an index of lower cognitive reserve (Stern et al.,

Conclusions

In conclusion, our results showed differences in the frequencies of Aβ (+) between Koreans and Europeans and in the clinical and genetic factors related to Aβ (+) in Koreans and Europeans. Our findings suggest that the effects of APOE ε4 on Aβ (+) between Korean and European CN cohorts are similar, while BDNF variants are associated with Aβ uptake in Korean, but not in European CN cohorts. Therefore, our findings will encourage clinicians to consider ethnic differences including prevailing

Author contributions

Jaeho Kim: study concept and design, acquisition, analysis, and interpretation of data; Sang-Hyuk Jung: study concept and design, acquisition, analysis, and interpretation of data; Yeong Sim Choe: analysis of data; Soyeon Kim: analysis of data; Beomsu Kim: analysis of data; Hang-Rai Kim: acquisition of data, critical revision of manuscript; Sang Joon Son: acquisition of data; Chang Hyung Hong: acquisition of data; Duk L. Na: acquisition of data, critical revision of manuscript; Hee Jin Kim:

Funding

This research was supported by the Korea Health Technology R&D Project grant through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (HI19C1132, HU20C0111, and HU21C0111), the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2018R1A1A3A04079255, NRF-2019R1A5A2027340), Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.

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    These authors contributed equally to this work as co-first authors.

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    These authors contributed equally to this work as co-corresponding authors.

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