The DOI matches its Crossref record; 211 of the 215 references it cites were found in a registry or an index.
Metabolomics of Human Brain Aging and Age-Related Neurodegenerative Diseases
Abstract
Neurons in the mature human central nervous system (CNS) perform a wide range of motor, sensory, regulatory, behavioral, and cognitive functions. Such diverse functional output requires a great diversity of CNS neuronal and non-neuronal populations. Metabolomics encompasses the study of the complete set of metabolites/low-molecular-weight intermediates (metabolome), which are context-dependent and vary according to the physiology, developmental state, or pathologic state of the cell, tissue, organ, or organism. Therefore, the use of metabolomics can help to unravel the diversity-and to disclose the specificity-of metabolic traits and their alterations in the brain and in fluids such as cerebrospinal fluid and plasma, thus helping to uncover potential biomarkers of aging and neurodegenerative diseases. Here, we review the current applications of metabolomics in studies of CNS aging and certain age-related neurodegenerative diseases such as Alzheimer disease, Parkinson disease, and amyotrophic lateral sclerosis. Neurometabolomics will increase knowledge of the physiologic and pathologic functions of neural cells and will place the concept of selective neuronal vulnerability in a metabolic context.
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“Attempts to discover new biomarkers for the diagnosis of early stages of the disease are ongoing [134–136].”
From Brain-Derived Neurotrophic Factor in Brain Disorders: Focus on Neuroinflammation (2019) · cites this paper as [134]
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Items 201–211 of 211
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Sorted by citations
Metabolomics for Investigating Physiological and Pathophysiological Processes
Wishart, D. S. (2019) · Physiological Reviews · doi:10.1152/physrev.00035.2018 · Cited by 1,295
Brain Glucose Metabolism: Integration of Energetics with Function
Dienel, G. A. (2018) · Physiological Reviews · doi:10.1152/physrev.00062.2017 · Cited by 911
Brain-Derived Neurotrophic Factor in Brain Disorders: Focus on Neuroinflammation
Lima Giacobbo, B., Doorduin, J., Klein, H. C., Dierckx, R. A. J. O., Bromberg, E., & de Vries, E. F. J. (2019) · Molecular Neurobiology · doi:10.1007/s12035-018-1283-6 · Cited by 750
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Biomarkers for the Early Detection and Progression of Alzheimer's Disease
Counts, S. E., Ikonomovic, M. D., Mercado, N., Vega, I. E., & Mufson, E. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-016-0481-z · Cited by 224
Metadata
- Authors
- Jové, M., Portero-Otín, M., Naudí, A., Ferrer, I., & Pamplona, R.
- Affiliations
- Universitat de Lleida (ES)
- Corresponding author
- Pamplona, Reinald
- Venue
- Journal of Neuropathology & Experimental Neurology
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-07
- Volume
- 73
- Issue
- 7
- Pages
- 640-657
- ISSN
- 0022-3069 (ISSN-L)
- 1554-6578
- OpenAlex
- W2317167530
- Cited by
- 195
- References
- 215
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 13 · 2023: 15 · 2022: 12 · 2021: 21 · 2020: 19 · 2019: 18 · 2018: 20 · 2017: 22 · 2016: 19 · 2015: 20 · 2014: 3
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neuropathology & Experimental Neurology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- brain aging, age-related neurodegenerative diseases, Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, cerebrospinal fluid metabolites, plasma metabolites, aging biomarkers, selective neuronal vulnerability, central nervous system metabolism
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amyotrophic Lateral Sclerosis, Brain, Energy Metabolism, Female, Humans, Male, Neurons, Parkinson Disease, Species Specificity, Biomarkers, Neurodegenerative Diseases, Metabolomics
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