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  • 标题:Reply to Zheng et al.: Clinical metabolomics: Detailed analysis by nontargeted method is complementary to large-scale studies
  • 本地全文:下载
  • 作者:Hiroshi Kondoh ; Takayuki Teruya ; Yung-Ju Chen
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2022
  • 卷号:119
  • 期号:5
  • DOI:10.1073/pnas.2120693119
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Accurate, nontargeted, comprehensive analysis of metabolites provides essential information about cutting-edge clinical questions ( 1). Zheng et al. ( 2) question the legitimacy of our recent discovery of dementia markers using whole-blood metabolomics (3). First, they express concern about the sample size of our study ( n = 16) ( 2). However, our findings ( 3) do not conflict with other studies. Rather, they are well supported by other work. In addition to our study, a recent large-scale study of metabolomics ( n = 496) identified ergothioneine (ET) as a dementia marker ( 4), while frail elderly patients, manifesting cognitive impairment, also display a decline in ET levels ( 5). Moreover, the statistical analysis in our study was validated by a reviewer for this journal with expertise in statistics, during the review process. Thus, whole-blood metabolomics is a useful approach, since some dementia markers like ET are abundant in red blood cells. Second, Zheng et al. ( 2) note the age difference between test subjects with dementia and those who served as controls in our study ( 3). It is possible that aging increases the risk of neurodegenerative diseases ( 6). Previously, we reported individual differences in 126 blood metabolites between young (29 ± 4 y) and elderly people (81 ± 7 y) ( 7). While 14 blood metabolites were listed as aging markers, most of the dementia markers, including ET, were not included in this list ( 3). Indeed, an age-matched study for dementia markers drew conclusions similar to ours ( 4). Third, we agree that environmental factors, such as food and drugs, may affect metabolomic profiles. Patients with mild cognitive impairment (MCI) may progress to Alzheimer’s disease ( 6), but, generally, MCI does not require drug administration. Metabolomics also identified ET as a marker for MCI ( 5, 8), implying that drugs for dementia, like memantine, do not affect our conclusions. Accumulating data suggest that caffeine has a protective role on cognitive function through its stimulation of the central nervous system, consistent with our findings ( 9, 10). Usually, large-scale epidemiological surveys target specific metabolites, while our whole-blood metabolomics provide detailed, nontargeted, comprehensive analysis ( 3). Thus, findings from the two approaches complement each other, which is why our nontargeted approach constitutes a significant, incremental advance in the field of disease metabolomics.
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