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Nagata Y, Hirayama A, Ikeda S, Shirahata A, Shoji F, Maruyama M, Kayano M, Bundo M, Hattori K, Yoshida S, Goto YI, Urakami K, Soga T, Ozaki K, Niida S. Comparative analysis of cerebrospinal fluid metabolites in Alzheimer's disease and idiopathic normal pressure hydrocephalus in a Japanese cohort. Biomark Res 2018; 6:5. [PMID: 29387418 PMCID: PMC5778653 DOI: 10.1186/s40364-018-0119-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 01/03/2018] [Indexed: 01/02/2023] Open
Abstract
Background Alzheimer’s disease (AD) is a most common dementia in elderly people. Since AD symptoms resemble those of other neurodegenerative diseases, including idiopathic normal pressure hydrocephalus (iNPH), it is difficult to distinguish AD from iNPH for a precise and early diagnosis. iNPH is caused by the accumulation of cerebrospinal fluid (CSF) and involves gait disturbance, urinary incontinence, and dementia. iNPH is treatable with shunt operation which removes accumulated CSF from the brain ventricles. Methods We performed metabolomic analysis in the CSF of patients with AD and iNPH with capillary electrophoresis-mass spectrometry. We assessed metabolites to discriminate between AD and iNPH with Welch’s t-test, receiver operating characteristic (ROC) curve analysis, and multiple logistic regression analysis. Results We found significant increased levels of glycerate and N-acetylneuraminate and significant decreased levels of serine and 2-hydroxybutyrate in the CSF of patients with AD compared to the CSF of patients with iNPH. The ROC curve analysis with these four metabolites showed that the area under the ROC curve was 0.90, indicating good discrimination between AD and iNPH. Conclusions This study identified four metabolites that could possibly discriminate between AD and iNPH, which previous research has shown are closely related to the risk factors, pathogenesis, and symptoms of AD. Analyzing pathway-specific metabolites in the CSF of patients with AD may further elucidate the mechanism and pathogenesis of AD. Electronic supplementary material The online version of this article (10.1186/s40364-018-0119-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yuki Nagata
- 1Medical Genome Center, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi 474-8511 Japan
| | - Akiyoshi Hirayama
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Satsuki Ikeda
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Aoi Shirahata
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Futaba Shoji
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Midori Maruyama
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Mitsunori Kayano
- 3Research Center for Global Agromedicine, Obihiro University of Agriculture and Veterinary Medicine, 2-11 Inada-cho, Obihiro, Hokkaido 080-8555 Japan
| | - Masahiko Bundo
- 4Department of Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Obu, Aichi 474-8511 Japan
| | - Kotaro Hattori
- 5Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8551 Japan
| | - Sumiko Yoshida
- 5Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8551 Japan
| | - Yu-Ichi Goto
- 5Medical Genome Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-8551 Japan
| | - Katsuya Urakami
- 6Department of Biological Regulation, School of Health Science, Faculty of Medicine, Tottori University, Yonago, Tottori 683-8503 Japan
| | - Tomoyoshi Soga
- 2Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata 997-0052 Japan
| | - Kouichi Ozaki
- 1Medical Genome Center, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi 474-8511 Japan
| | - Shumpei Niida
- 1Medical Genome Center, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi 474-8511 Japan
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Yang P, Wang J, Pang Q, Zhang F, Wang J, Wang Q, Qi Q. Pathway optimization and key enzyme evolution of N-acetylneuraminate biosynthesis using an in vivo aptazyme-based biosensor. Metab Eng 2017; 43:21-28. [PMID: 28780284 DOI: 10.1016/j.ymben.2017.08.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Revised: 07/18/2017] [Accepted: 08/01/2017] [Indexed: 10/19/2022]
Abstract
N-acetylneuraminate (NeuAc) biosynthesis has drawn much attention owing to its wide applications in many aspects. Previously, we engineered for the first time an artificial NeuAc biosynthetic pathway in Escherichia coli using glucose as sole substrate. However, rigorous requirements for the flux and cofactor balance make subsequent strain improvement rather difficult. In this study, an in vivo NeuAc biosensor was designed and applied for genetic screening the mutant library of NeuAc producer. Its NeuAc responsive manner was demonstrated using sfgfp as a reporter and a Ni2+-based selection system was developed to couple the cell growth with in vivo NeuAc concentration. Employing this selection system, the NeuAc biosynthesis pathway was optimized and the key enzyme NeuAc synthase was evolved, which improved the titer by 34% and 23%, respectively. The final strain produced up to 8.31g/L NeuAc in minimal medium using glucose as sole carbon source. This work demonstrated the effectiveness of NeuAc biosensor in genetic screening and great potential in metabolic engineering of other organisms.
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Affiliation(s)
- Peng Yang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China
| | - Jing Wang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China
| | - Qingxiao Pang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China
| | - Fengyu Zhang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China
| | - Junshu Wang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China
| | - Qian Wang
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China.
| | - Qingsheng Qi
- State Key Laboratory of Microbial Technology, National Glycoengineering Center, Shandong University, Jinan 250100, People's Republic of China.
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