TNFR-1 and GDF-15 Are Associated With Plasma Neurofilament Light Chain and Progranulin Among Community-Dwelling Older Adults : A Secondary Analysis of the MAPT Study
© The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
There is growing evidence that cognitive decline can be affected by both nutritional aspects and inflammation. Plasma neurodegenerative biomarkers stand out as minimally invasive useful measures to monitor the potential risk of cognitive decline. This study aimed to investigate the associations between biomarkers of neurodegeneration, nutrition, and inflammation among community-dwelling older adults, and to verify if associations differed according to apolipoprotein E (APOE) ε4 status. This cross-sectional analysis included 475 participants ≥70 years old from the Multidomain Alzheimer Preventive Trial (MAPT), mean age 76.8 years (SD = 4.5), 59.4% women. Biomarkers of neurodegeneration (plasma amyloid-β 42/40-Aβ 42/40, neurofilament light chain-NfL, progranulin), nutrition (erythrocyte docosahexaenoic acid, eicosapentaenoic acid, omega-3 index; plasma homocysteine-Hcy, 25 hydroxyvitamin D), inflammation (plasma tumor necrosis factor receptor 1-TNFR-1, monocyte chemoattractant protein 1-MCP-1, interleukin 6-IL-6), and cellular stress (plasma growth differentiation factor 15-GDF-15) were assessed. Linear regression analyses were performed to investigate the associations between nutritional and inflammatory biomarkers (independent variables) and neurodegenerative biomarkers (dependent variables), with adjustments for age, sex, education, body mass index, physical activity, allocation to MAPT groups, and APOE ε4 status. After adjusting for confounders, Aβ 42/40 was not associated with nutritional or inflammatory markers. NfL was positively associated with GDF-15, TNFR-1, IL-6, and Hcy. Progranulin was positively associated with GDF-15, TNFR-1, and MCP-1. Analyses restricted to APOE ε4 carriers (n = 116; 26.9%) or noncarriers were mostly similar. Our cross-sectional study with community-dwelling older adults corroborates previous evidence that inflammatory pathways are associated to plasma markers of neurodegeneration. Clinical Trials Registration Number: NCT00672685.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:78 |
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Enthalten in: |
The journals of gerontology. Series A, Biological sciences and medical sciences - 78(2023), 4 vom: 30. März, Seite 569-578 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Giudici, Kelly Virecoulon [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 14.04.2023 Date Revised 13.12.2023 published: Print ClinicalTrials.gov: NCT00672685 Citation Status MEDLINE |
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doi: |
10.1093/gerona/glac244 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM350205582 |
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245 | 1 | 0 | |a TNFR-1 and GDF-15 Are Associated With Plasma Neurofilament Light Chain and Progranulin Among Community-Dwelling Older Adults |b A Secondary Analysis of the MAPT Study |
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500 | |a Citation Status MEDLINE | ||
520 | |a © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
520 | |a There is growing evidence that cognitive decline can be affected by both nutritional aspects and inflammation. Plasma neurodegenerative biomarkers stand out as minimally invasive useful measures to monitor the potential risk of cognitive decline. This study aimed to investigate the associations between biomarkers of neurodegeneration, nutrition, and inflammation among community-dwelling older adults, and to verify if associations differed according to apolipoprotein E (APOE) ε4 status. This cross-sectional analysis included 475 participants ≥70 years old from the Multidomain Alzheimer Preventive Trial (MAPT), mean age 76.8 years (SD = 4.5), 59.4% women. Biomarkers of neurodegeneration (plasma amyloid-β 42/40-Aβ 42/40, neurofilament light chain-NfL, progranulin), nutrition (erythrocyte docosahexaenoic acid, eicosapentaenoic acid, omega-3 index; plasma homocysteine-Hcy, 25 hydroxyvitamin D), inflammation (plasma tumor necrosis factor receptor 1-TNFR-1, monocyte chemoattractant protein 1-MCP-1, interleukin 6-IL-6), and cellular stress (plasma growth differentiation factor 15-GDF-15) were assessed. Linear regression analyses were performed to investigate the associations between nutritional and inflammatory biomarkers (independent variables) and neurodegenerative biomarkers (dependent variables), with adjustments for age, sex, education, body mass index, physical activity, allocation to MAPT groups, and APOE ε4 status. After adjusting for confounders, Aβ 42/40 was not associated with nutritional or inflammatory markers. NfL was positively associated with GDF-15, TNFR-1, IL-6, and Hcy. Progranulin was positively associated with GDF-15, TNFR-1, and MCP-1. Analyses restricted to APOE ε4 carriers (n = 116; 26.9%) or noncarriers were mostly similar. Our cross-sectional study with community-dwelling older adults corroborates previous evidence that inflammatory pathways are associated to plasma markers of neurodegeneration. Clinical Trials Registration Number: NCT00672685 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a Research Support, N.I.H., Extramural | |
650 | 4 | |a Amyloid-β | |
650 | 4 | |a Cognitive decline | |
650 | 4 | |a Inflammation | |
650 | 4 | |a Neurodegeneration | |
650 | 4 | |a Nutrition | |
650 | 7 | |a Amyloid beta-Peptides |2 NLM | |
650 | 7 | |a Apolipoprotein E4 |2 NLM | |
650 | 7 | |a Biomarkers |2 NLM | |
650 | 7 | |a Growth Differentiation Factor 15 |2 NLM | |
650 | 7 | |a Interleukin-6 |2 NLM | |
650 | 7 | |a Progranulins |2 NLM | |
650 | 7 | |a Receptors, Tumor Necrosis Factor, Type I |2 NLM | |
650 | 7 | |a neurofilament protein L |2 NLM | |
650 | 7 | |a Neurofilament Proteins |2 NLM | |
700 | 1 | |a de Souto Barreto, Philipe |e verfasserin |4 aut | |
700 | 1 | |a Guyonnet, Sophie |e verfasserin |4 aut | |
700 | 1 | |a Morley, John E |e verfasserin |4 aut | |
700 | 1 | |a Nguyen, Andrew D |e verfasserin |4 aut | |
700 | 1 | |a Aggarwal, Geetika |e verfasserin |4 aut | |
700 | 1 | |a Parini, Angelo |e verfasserin |4 aut | |
700 | 1 | |a Li, Yan |e verfasserin |4 aut | |
700 | 1 | |a Bateman, Randall John |e verfasserin |4 aut | |
700 | 1 | |a Vellas, Bruno |e verfasserin |4 aut | |
700 | 0 | |a MAPT/DSA Group |e verfasserin |4 aut | |
700 | 1 | |a Vellas, Bruno |e investigator |4 oth | |
700 | 1 | |a Guyonnet, Sophie |e investigator |4 oth | |
700 | 1 | |a Carrié, Isabelle |e investigator |4 oth | |
700 | 1 | |a Brigitte, Lauréane |e investigator |4 oth | |
700 | 1 | |a Faisant, Catherine |e investigator |4 oth | |
700 | 1 | |a Lala, Françoise |e investigator |4 oth | |
700 | 1 | |a Delrieu, Julien |e investigator |4 oth | |
700 | 1 | |a Villars, Hélène |e investigator |4 oth | |
700 | 1 | |a Combrouze, Emeline |e investigator |4 oth | |
700 | 1 | |a Badufle, Carole |e investigator |4 oth | |
700 | 1 | |a Zueras, Audrey |e investigator |4 oth | |
700 | 1 | |a Andrieu, Sandrine |e investigator |4 oth | |
700 | 1 | |a Cantet, Christelle |e investigator |4 oth | |
700 | 1 | |a Morin, Christophe |e investigator |4 oth | |
700 | 1 | |a Abellan Van Kan, Gabor |e investigator |4 oth | |
700 | 1 | |a Dupuy, Charlotte |e investigator |4 oth | |
700 | 1 | |a Rolland, Yves |e investigator |4 oth | |
700 | 1 | |a Caillaud, Céline |e investigator |4 oth | |
700 | 1 | |a Ousset, Pierre-Jean |e investigator |4 oth | |
700 | 1 | |a Bonneville, Fabrice |e investigator |4 oth | |
700 | 1 | |a Cognard, Christophe |e investigator |4 oth | |
700 | 1 | |a Chollet, François |e investigator |4 oth | |
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700 | 1 | |a Peiffer, Sophie |e investigator |4 oth | |
700 | 1 | |a Hitzel, Anne |e investigator |4 oth | |
700 | 1 | |a Molinier, Laurent |e investigator |4 oth | |
700 | 1 | |a Derumeaux, Hélène |e investigator |4 oth | |
700 | 1 | |a Costa, Nadège |e investigator |4 oth | |
700 | 1 | |a Perret, Bertrand |e investigator |4 oth | |
700 | 1 | |a Vinel, Claire |e investigator |4 oth | |
700 | 1 | |a Caspar-Bauguil, Sylvie |e investigator |4 oth | |
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700 | 1 | |a Fontaine, Francine |e investigator |4 oth | |
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