Serum metabolomic profiling in patients with Alzheimer disease and amnestic mild cognitive impairment by GC/MS.
Alzheimer
GC/MS
biomarker
metabolomics
mild cognitive impairment
Journal
Biomedical chromatography : BMC
ISSN: 1099-0801
Titre abrégé: Biomed Chromatogr
Pays: England
ID NLM: 8610241
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
03
09
2019
revised:
08
04
2020
accepted:
14
04
2020
pubmed:
10
5
2020
medline:
1
4
2021
entrez:
9
5
2020
Statut:
ppublish
Résumé
The aim of this study was to characterize the serum metabolic profiles of patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (AMCI) using metabolomics based on gas chromatography-mass spectrometry (GC/MS). Serum samples were collected from patients with AD (n = 30) and AMCI (n = 32), and normal healthy controls (NOR, n = 40). Metabolite profiles were performed with GC/MS in conjunction with multivariate statistical analysis, and possible biomarker metabolites were identified. Thirty-one kinds of endogenous metabolites could be identified simultaneously. Eleven components were chosen as biomarker metabolites between AD and NOR groups, and these metabolites were closely related to seven biological pathways: arginine and proline metabolism, phenylalanine metabolism, β-alanine metabolism, primary bile acid synthesis, glutathione metabolism, starch and sucrose metabolism, and steroid hormone biosynthesis. Meanwhile, 10 components were chosen as biomarker metabolites between AMCI and NOR groups and seven biological pathways were closely related: arginine and proline metabolism, phenylalanine metabolism, citrate cycle, alanine, aspartate and glutamate metabolism, taurine and hypotaurine metabolism, starch and sucrose metabolism, and steroid hormone biosynthesis. Our study distinguished serum metabotypes between AD, AMCI and NOR patients successfully. The implementation of this metabolomic strategy may help to develop biochemical insight into the metabolic alterations in AD/AMCI and will be helpful for the further understanding of pathogenesis.
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4875Informations de copyright
© 2020 John Wiley & Sons, Ltd.
Références
Abbey, M., Noakes, M., Belling, G. B., & Nestel, P. J. (1994). Partial replacement of saturated fatty acids with almonds or walnuts lowers total plasma cholesterol and low-density-lipoprotein cholesterol. American Journal of Clinical Nutrition, 59(5), 995-999. https://doi.org/10.1093/ajcn/59.5.995
Barba, I., Fernandez-Montesinos, R., Garcia-Dorado, D., & Pozo, D. (2008). Alzheimer's disease beyond the genomic era: Nuclear magnetic resonance (NMR) spectroscopy-based metabolomics. Journal of Cellular and Molecular Medicine, 12(5A), 1477-1485. https://doi.org/10.1111/j.1582-4934.2008.00385.x
Bocharova, O. V., Urban, A. S., Nadezhdin, K. D., Bocharov, E. V., & Arseniev, A. S. (2016). Cell-free expression of the APP transmembrane fragments with Alzheimer's disease mutations using algal amino acid mixture for structural NMR studies. Protein Expression and Purification, 123, 105-111. https://doi.org/10.1016/j.pep.2016.04.004
Brickman, A. M., Zahodne, L. B., Guzman, V. A., Narkhede, A., Meier, I. B., Griffith, E. Y., … Mayeux, R. (2015). Reconsidering harbingers of dementia: Progression of parietal lobe white matter hyperintensities predicts Alzheimer's disease incidence. Neurobiology of Aging, 36(1), 27-32. https://doi.org/10.1016/j.neurobiolaging.2014.07.019
Chen, J., Shu, H., Wang, Z., Liu, D., Shi, Y., Zhang, X., & Zhang, Z. (2015). The interaction of APOE genotype by age in amnestic mild cognitive impairment: A voxel-based morphometric study. Journal of Alzheimers Disease, 43(2), 657-668.
Chen, L., Luo, Z., Fu, W., Liao, X., Cui, Z., & Zhou, J. (2013). Detection of urinary metabolomics before and after Pringle maneuver-induced liver ischemia and reperfusion injury in rats using gas chromatography-mass spectrometry. Disease Markers, 35(5), 345-351.
Cheung, T. S., Song, T. H., Ng, T. B., Wu, F. H., Lao, L. X., Tang, S. C., … Sze, S. C. (2015). Therapeutic effects of herbal chemicals in traditional Chinese medicine on Alzheimer's disease. Current Medicinal Chemistry, 22, 2392-2403. https://doi.org/10.2174/0929867322666150520095509
Drake, J., Petroze, R., Castegna, A., Ding, Q., Keller, J. N., Markesbery, W. R., … Butterfield, D. A. (2004). 4-Hydroxynonenal oxidatively modifies histones: Implications for Alzheimer's disease. Neuroscience Letters, 356(3), 155-158. https://doi.org/10.1016/j.neulet.2003.11.047
Du, Y., Xu, B. J., Deng, X., Wu, X. W., Li, Y. J., Wang, S. R., … Tang, D. Q. (2019). Predictive metabolic signatures for the occurrence and development of diabetic nephropathy and the intervention of Ginkgo biloba leaves extract based on gas or liquid chromatography with mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis, 20(166), 30-39.
El Gaamouch, F., Jing, P., Xia, J., & Cai, D. (2016). Alzheimer's disease risk genes and lipid regulators. Journal of Alzheimers Disease, 53(1), 15-29.
Enache, T. A., & Oliveira-Brett, A. M. (2017). Alzheimer's disease amyloid beta peptides in vitro electrochemical oxidation. Bioelectrochemistry, 114, 13-23. https://doi.org/10.1016/j.bioelechem.2016.11.003
Garcí-Gómez, B. E., Fernández-Gómez, F. J., Muñoz-Delgado, E., Buée, L., Blum, D., & Vidal, C. J. (2016). MRNA levels of ACh-related enzymes in the hippocampus of THY-Tau22 mouse: A model of human tauopathy with no signs of motor disturbance. Journal of Molecular Neuroscience, 58(4), 411-415.
Guiraud, S. P., Montoliu, I., Da Silva, L., Dayon, L., Galindo, A. N., Corthésy, J., … Martin, F. P. (2016). High-throughput and simultaneous quantitative analysis of homocysteine-methionine cycle metabolites and co-factors in blood plasma and cerebrospinal fluid by isotope dilution LC-MS/MS. Analytical and Bioanalytical Chemistry, 409(1), 1-11.
Hendrix, J. A., Bateman, R. J., Brashear, H. R., Duggan, C., Carrillo, M. C., Bain, L. J., … Vitolo, O. V. (2016). Challenges, solutions, and recommendations for Alzheimer's disease combination therapy. Alzheimers Dement, 12, 623-630. https://doi.org/10.1016/j.jalz.2016.02.007
Huan, T., Tran, T., Zheng, J., Sapkota, S., MacDonald, S., Camicioli, R., … Li, L. (2018). Metabolomics analyses of saliva detect novel biomarkers of Alzheimer's disease. Journal of Alzheimer's Disease, 65(4), 1401-1416. https://doi.org/10.3233/JAD-180711
Krishna, K., Behnisch, T., & Sajikumar, S. (2016). Inhibition of histone deacetylase 3 restores amyloid-β oligomer-induced plasticity deficit in hippocampal CA1 pyramidal neurons. Journal of Alzheimers Disease, 51(3), 751-783.
Li, Y., Sun, H., Chen, Z., Xu, H., Bu, G., & Zheng, H. (2016). Implications of GABAergic neurotransmission in Alzheimer's disease. Frontiers in Aging Neuroscience, 8, 31.
Liang, X., Chen, X., Liang, Q., Zhang, H., Hu, P., Wang, Y., & Luo, G. (2011). Metabonomic study of Chinese medicine Shuanglong formula as an effective treatment for myocardial infarction in rats. Journal of Proteome Research, 10, 790-799. https://doi.org/10.1021/pr1009299
Manoharan, S., Guillemin, G. J., Abiramasundari, R. S., Essa, M. M., Akbar, M., & Akbar, M. D. (2016). The Role of reactive oxygen species in the pathogenesis of Alzheimer's disease, Parkinson's disease, and Huntington's disease: A mini review. Oxidative Medicine and Cellular Longevity, 2016, 8590578.1-15.
Montine, T. J., Neely, M. D., Quinn, J. F., Beal, M. F., Markesbery, W. R., Roberts, L. J.II, & Morrow, J. D. (2002). Lipid peroxidation in aging brain and Alzheimer's disease. Free Radical Biology & Medicine, 33(5), 620-626. https://doi.org/10.1016/S0891-5849(02)00807-9
Mowrey, W. B., Lipton, R. B., Katz, M. J., Ramratan, W. S., Loewenstein, D. A., Zimmerman, M. E., & Buschke, H. (2016). Memory binding test predicts incident amnestic mild cognitive impairment. Journal of Alzheimers Disease, 53(4), 1585-1595.
Neagu, V. R., Garcí, B. M., Rodríguez, A. M., Ferrusola, C. O., Bolaños, J. G., Fernández, L. G., … Peña, F. J. (2011). Determination of glutation peroxidase and superoxide dismutase activities in canine seminal plasma and its relation with sperm quality and lipid peroxidation post thaw. Theriogenology, 75(1), 10-16. https://doi.org/10.1016/j.theriogenology.2010.07.004
Palmer, K., Di, I. F., Varsi, A. E., Gianni, W., Sancesario, G., Caltagirone, C., & Spalletta, G. (2010). Neuropsychiatric predictors of progression from amnestic-mild cognitive impairment to Alzheimer's disease: The role of depression and apathy. Journal of Alzheimers Disease, 20(1), 175-183.
Phipps, A. J., Vickers, J. C., Taberlay, P. C., & Woodhouse, A. (2016). Neurofilament-labeled pyramidal neurons and astrocytes are deficient in DNA methylation marks in Alzheimer's disease. Neurobiology of Aging, 45, 30-42. https://doi.org/10.1016/j.neurobiolaging.2016.05.003
Ran, C., Yang, J., Yang, J., Yuan, P., Grutzendler, J., & Xu, Y. (2016). Near infrared fluorescence imaging of reactive oxygen species in Alzheimer's disease via transformation from “visible” to “invisible”. Alzheimers & Dementia: The Journal of the Alzheimers Association, 12(7), 206-206.
Saing, T., Lagman, M., Castrillon, J., Gutierrez, E., Guilford, F. T., & Venketaraman, V. (2016). Analysis of glutathione levels in the brain tissue samples from HIV-1-positive individuals and subject with Alzheimer's disease and its implication in the pathophysiology of the disease process. BBA Clinical, 6, 38-44.
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., … Park, D. C. (2011). Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement, 7, 280-292.
Szymańska, E., Saccenti, E., Smilde, A. K., & Westerhuis, J. A. (2012). Double-check: Validation of diagnostic statistics for PLS-DA models in metabolomics studies. Metabolomics, 8(1), S3-S16.
Theodoridis, G., Gika, H. G., & Wilson, I. D. (2011). Mass spectrometry-based holistic analytical approaches for metabolite profiling in systems biology studies. Mass Spectrometry Reviews, 30(5), 884-906. https://doi.org/10.1002/mas.20306
Trushina, E., & Mielke, M. M. (2014). Recent advances in the application of metabolomics to Alzheimer's Disease. Biochimica et Biophysica Acta, 1842(8), 1232-1239. https://doi.org/10.1016/j.bbadis.2013.06.014
Varma, V. R., Oommen, A. M., Varma, S., Casanova, R., An, Y., Andrews, R. M., … Thambisetty, M. (2018). Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Medicine, 15(1), e1002482.1-31. https://doi.org/10.1371/journal.pmed.1002482
Velly, L. J., Guillet, B. A., Canas, P. T., Pisano, P., & Bruder, N. (2007). Protective effects of sevoflurane preconditioning on oxygen-glucose deprivation injury. Role of reactive oxygen species and adenosine triphosphate-regulated potassium channels: 7AP5-6. European Journal of Anaesthesiology, 24(3), 209-213.
Wang, J., Zeng, H. L., Du, H., Liu, Z., Cheng, J., Liu, T., … Xu, F. (2018). Evaluation of metabolites extraction strategies for identifying different brain regions and their relationship with alcohol preference and gender difference using NMR metabolomics. Talanta, 179, 369-376. https://doi.org/10.1016/j.talanta.2017.11.045
Wang, J., Zhou, Y., Huang, F. J., Tang, H. D., Xu, X. H., Liu, J. J., … Ma, J. F. (2014). Plasma metabolite profiles of Alzheimer's disease and mild cognitive impairment. Journal of Proteome Research, 13(5), 2649-2658. https://doi.org/10.1021/pr5000895
Wang, Y. N., Zhao, M., Xin, Y., Liu, J., Wang, M., & Zhao, C. (2016). 1H-NMR and MS based metabolomics study of the therapeutic effect of Cortex Fraxini on hyperuricemic rats. Journal of Ethnopharmacology., 185, 272-281.
Wu, Y., Gao, B., & Zhu, S. (2017). New fungal defensin-like peptides provide evidence for fold change of proteins in evolution. Bioscience Reports, 37, BSR20160438.1-25.
Yan, B., Huang, J., Zhang, C., Hu, X., Gao, M., Shi, A., … Yang, L. (2016). Serum metabolomic profiling in patients with systemic lupus erythematosus by GC/MS. Modern Rheumatology, 6(26), 914-922.
Yang, B., Xia, Z. A., Zhong, B. W., Xiong, X., Sheng, C., Wang, Y., … Peng, W. (2016). Distinct hippocampal expression profiles of long non-coding RNAs in an Alzheimer's disease model. Molecular Neurobiology, 54, 1-14.
Yang, M., Li, X., Li, Z., Ou, Z., Liu, M., Liu, S., … Yang, S. (2013). Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data. PLoS ONE, 8(12), e84253.1-12. https://doi.org/10.1371/journal.pone.0084253
Yi, L. Z., Liu, W. B., Wang, Z., Ren, D., & Peng, W. (2017). Characterizing Alzheimer's disease through metabolomics and investigating anti-Alzheimer's disease effects of natural products. Annals of the New York Academy of Sciences, 1398, 130-141.
Zhao, J., & Shimizu, K. (2003). Metabolic flux analysis of Escherichia coli K12 grown on 13C-labeled acetate and glucose using GC-MS and powerful flux calculation method. Journal of Biotechnology, 101(2), 101-117. https://doi.org/10.1016/s0168-1656(02)00316-4