Status of Metabolomic Measurement for Insights in Alzheimer's Disease Progression-What Is Missing?
Alzheimer's disease (AD) is an aging-related neurodegenerative disease, leading to the progressive loss of memory and other cognitive functions. As there is still no cure for AD, the growth in the number of susceptible individuals represents a major emerging threat to public health. Currently,...
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Veröffentlicht in: | International journal of molecular sciences 2023-03, Vol.24 (5), p.4960 |
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description | Alzheimer's disease (AD) is an aging-related neurodegenerative disease, leading to the progressive loss of memory and other cognitive functions. As there is still no cure for AD, the growth in the number of susceptible individuals represents a major emerging threat to public health. Currently, the pathogenesis and etiology of AD remain poorly understood, while no efficient treatments are available to slow down the degenerative effects of AD. Metabolomics allows the study of biochemical alterations in pathological processes which may be involved in AD progression and to discover new therapeutic targets. In this review, we summarized and analyzed the results from studies on metabolomics analysis performed in biological samples of AD subjects and AD animal models. Then this information was analyzed by using MetaboAnalyst to find the disturbed pathways among different sample types in human and animal models at different disease stages. We discuss the underlying biochemical mechanisms involved, and the extent to which they could impact the specific hallmarks of AD. Then we identify gaps and challenges and provide recommendations for future metabolomics approaches to better understand AD pathogenesis. |
doi_str_mv | 10.3390/ijms24054960 |
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As there is still no cure for AD, the growth in the number of susceptible individuals represents a major emerging threat to public health. Currently, the pathogenesis and etiology of AD remain poorly understood, while no efficient treatments are available to slow down the degenerative effects of AD. Metabolomics allows the study of biochemical alterations in pathological processes which may be involved in AD progression and to discover new therapeutic targets. In this review, we summarized and analyzed the results from studies on metabolomics analysis performed in biological samples of AD subjects and AD animal models. Then this information was analyzed by using MetaboAnalyst to find the disturbed pathways among different sample types in human and animal models at different disease stages. We discuss the underlying biochemical mechanisms involved, and the extent to which they could impact the specific hallmarks of AD. Then we identify gaps and challenges and provide recommendations for future metabolomics approaches to better understand AD pathogenesis.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms24054960</identifier><identifier>PMID: 36902391</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Advertising executives ; Alzheimer Disease - metabolism ; Alzheimer's disease ; Animal cognition ; Animal models ; Animals ; Biological properties ; Biomarkers ; Brain research ; Cholesterol ; Chromatography ; Cognition ; Development and progression ; Disease Models, Animal ; Etiology ; Health aspects ; Humans ; Laboratories ; Lipids ; Mass spectrometry ; Measurement ; Metabolism ; Metabolites ; Metabolomics ; Metabolomics - methods ; Molecular weight ; Neurodegenerative Diseases ; NMR ; Nuclear magnetic resonance ; Pathogenesis ; Proteins ; Public health ; Reproducibility ; Review ; Scientific imaging ; Target marketing ; Therapeutic targets ; Volatility</subject><ispartof>International journal of molecular sciences, 2023-03, Vol.24 (5), p.4960</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Then we identify gaps and challenges and provide recommendations for future metabolomics approaches to better understand AD pathogenesis.</description><subject>Advertising executives</subject><subject>Alzheimer Disease - metabolism</subject><subject>Alzheimer's disease</subject><subject>Animal cognition</subject><subject>Animal models</subject><subject>Animals</subject><subject>Biological properties</subject><subject>Biomarkers</subject><subject>Brain research</subject><subject>Cholesterol</subject><subject>Chromatography</subject><subject>Cognition</subject><subject>Development and progression</subject><subject>Disease Models, Animal</subject><subject>Etiology</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Lipids</subject><subject>Mass spectrometry</subject><subject>Measurement</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Molecular weight</subject><subject>Neurodegenerative Diseases</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Pathogenesis</subject><subject>Proteins</subject><subject>Public health</subject><subject>Reproducibility</subject><subject>Review</subject><subject>Scientific imaging</subject><subject>Target marketing</subject><subject>Therapeutic targets</subject><subject>Volatility</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptksFvFSEQxjdGY2v15tmQeNBDtw6wsMupealWX9JGEzUeCcvO7uNlFyrsmuhfLy-t7WtjODADv_lg4CuKlxROOFfwzm2nxCoQlZLwqDikFWMlgKwf78UHxbOUtgCMM6GeFgdcqhwreli0X2czL4mEnlzibNowhsnZHJu0RJzQz6QPkax9csNmTsR5shr_bNBNGN8k8t6lTCL5EsMQMSUXfPljY2ayTuTS5dwPp8-LJ70ZE764mY-K7-cfvp19Ki8-f1yfrS5KWzUwl9hjpxh0Qpi6lTUIQzljSrSU9Z2osZbc8qozvGtZhYIhtU0jGqBM9lbxmh8Vp9e6V0s7YWfz3aMZ9VV0k4m_dTBO39_xbqOH8EtTAOC8qbLC2xuFGH4umGY9uWRxHI3HsCTN6kaCqgSIjL5-gG7DEn3ub0cJxlgD8o4azIja-T7kg-1OVK9qQRWTVLJMnfyHyqPD_BfBY-_y-r2C4-sCG0NKEfvbJinonSn0viky_mr_YW7hfy7gfwH-xbFb</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Yin, Chunyuan</creator><creator>Harms, Amy C</creator><creator>Hankemeier, Thomas</creator><creator>Kindt, Alida</creator><creator>de Lange, Elizabeth C M</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6551-6030</orcidid><orcidid>https://orcid.org/0000-0002-2931-4295</orcidid><orcidid>https://orcid.org/0000-0001-7871-2073</orcidid><orcidid>https://orcid.org/0000-0002-4017-9389</orcidid><orcidid>https://orcid.org/0000-0001-7904-7124</orcidid></search><sort><creationdate>20230301</creationdate><title>Status of Metabolomic Measurement for Insights in Alzheimer's Disease Progression-What Is Missing?</title><author>Yin, Chunyuan ; 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subjects | Advertising executives Alzheimer Disease - metabolism Alzheimer's disease Animal cognition Animal models Animals Biological properties Biomarkers Brain research Cholesterol Chromatography Cognition Development and progression Disease Models, Animal Etiology Health aspects Humans Laboratories Lipids Mass spectrometry Measurement Metabolism Metabolites Metabolomics Metabolomics - methods Molecular weight Neurodegenerative Diseases NMR Nuclear magnetic resonance Pathogenesis Proteins Public health Reproducibility Review Scientific imaging Target marketing Therapeutic targets Volatility |
title | Status of Metabolomic Measurement for Insights in Alzheimer's Disease Progression-What Is Missing? |
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