Circulating Neurofilament Light Chain Levels Increase with Age and Are Associated with Worse Physical Function and Body Composition in Men but Not in Women

This study aimed to assess the relationship between age-related changes in Neurofilament Light Chain (NFL), a marker of neuronal function, and various factors including muscle function, body composition, and metabolomic markers. The study included 40 participants, aged 20 to 85 years. NFL levels were measured, and muscle function, body composition, and metabolomic markers were assessed. NFL levels increased significantly with age, particularly in men. Negative correlations were found between NFL levels and measures of muscle function, such as grip strength, walking speed, and chair test performance, indicating a decline in muscle performance with increasing NFL. These associations were more pronounced in men. NFL levels also negatively correlated with muscle quality in men, as measured by 50 kHz phase angle. In terms of body composition, NFL was positively correlated with markers of fat mass and negatively correlated with markers of muscle mass, predominantly in men. Metabolomic analysis revealed significant associations between NFL levels and specific metabolites, with gender-dependent relationships observed. This study provides insights into the relationship between circulating serum NFL, muscle function, and aging. Our findings hint at circulating NFL as a potential early marker of age-associated neurodegenerative processes, especially in men.

[1]  Toshiko Tanaka,et al.  Plasma metabolomic signatures of dual decline in memory and gait in older adults , 2023, GeroScience.

[2]  U. Himmelreich,et al.  Body fat and components of sarcopenia relate to inflammation, brain volume, and neurometabolism in older adults , 2023, Neurobiology of Aging.

[3]  R. McIntosh,et al.  Neutrophil-to-Lymphocyte Ratio Amplifies the Effects of Aging on Decrements in Grip Strength and its Functional Neural Underpinnings. , 2023, The journals of gerontology. Series A, Biological sciences and medical sciences.

[4]  J. Faul,et al.  Grip strength is inversely associated with DNA methylation age acceleration , 2022, Journal of cachexia, sarcopenia and muscle.

[5]  J. Wellmann,et al.  Longitudinal analyses of serum neurofilament light and associations with obesity indices and bioelectrical impedance parameters , 2022, Scientific Reports.

[6]  D. Scheinost,et al.  Associations between grip strength, brain structure, and mental health in > 40,000 participants from the UK Biobank , 2022, BMC Medicine.

[7]  Joshua L. Keller,et al.  An examination of the relationship among plasma brain derived neurotropic factor, peripheral vascular function, and body composition with cognition in midlife African Americans/Black individuals , 2022, Frontiers in Aging Neuroscience.

[8]  R. Segurado,et al.  Plasma neurofilament light levels associate with muscle mass and strength in middle‐aged and older adults: findings from GenoFit , 2022, Journal of cachexia, sarcopenia and muscle.

[9]  L. Ferrucci,et al.  Longitudinal associations of absolute versus relative moderate-to-vigorous physical activity with brain microstructural decline in aging , 2022, Neurobiology of Aging.

[10]  Omar H. Butt,et al.  Cerebrospinal fluid neurofilament light chain is a marker of aging and white matter damage , 2022, Neurobiology of Disease.

[11]  O. Bruyère,et al.  Neurofilament light chain concentration in an aging population , 2022, Aging Clinical and Experimental Research.

[12]  Bernice Lin,et al.  Lipid Metabolism Influence on Neurodegenerative Disease Progression: Is the Vehicle as Important as the Cargo? , 2021, Frontiers in Molecular Neuroscience.

[13]  C. Enzinger,et al.  Factors influencing serum neurofilament light chain levels in normal aging , 2021, Aging.

[14]  C. Jack,et al.  Comparison of plasma neurofilament light and total tau as neurodegeneration markers: associations with cognitive and neuroimaging outcomes , 2021, Alzheimer's research & therapy.

[15]  C. Jack,et al.  Comparison of plasma neurofilament light and total tau as neurodegeneration markers: associations with cognitive and neuroimaging outcomes , 2021, Alzheimer's Research & Therapy.

[16]  P. Avoni,et al.  Plasma and CSF Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: A Cross-Sectional and Longitudinal Study , 2021, Frontiers in Aging Neuroscience.

[17]  J. Trojanowski,et al.  Neurofilament Light Chain as a Biomarker for Cognitive Decline in Parkinson Disease , 2021, Movement disorders : official journal of the Movement Disorder Society.

[18]  K. Hutchison,et al.  Investigating Associations Between Inflammatory Biomarkers, Gray Matter, Neurofilament Light and Cognitive Performance in Healthy Older Adults , 2021, Frontiers in Aging Neuroscience.

[19]  H. Naito,et al.  The 30-s chair stand test can be a useful tool for screening sarcopenia in elderly Japanese participants , 2021, BMC Musculoskeletal Disorders.

[20]  A. Rainoldi,et al.  Rate of Force Development as an Indicator of Neuromuscular Fatigue: A Scoping Review , 2021, Frontiers in Human Neuroscience.

[21]  G. Rosania,et al.  L-Carnitine and Acylcarnitines: Mitochondrial Biomarkers for Precision Medicine , 2021, Metabolites.

[22]  K. Kędziora-Kornatowska,et al.  Amino Acid Levels as Potential Biomarker of Elderly Patients with Dementia , 2020, Brain sciences.

[23]  H. Weiner,et al.  Blood neurofilament light: a critical review of its application to neurologic disease , 2020, Annals of clinical and translational neurology.

[24]  R. Benedict,et al.  Serum neurofilament light chain level associations with clinical and cognitive performance in multiple sclerosis: A longitudinal retrospective 5-year study , 2020, Multiple sclerosis.

[25]  R. Bateman,et al.  Plasma Aβ and neurofilament light chain are associated with cognitive and physical function decline in non-dementia older adults , 2020, Alzheimer's research & therapy.

[26]  S. Lehéricy,et al.  Plasma Aβ and neurofilament light chain are associated with cognitive and physical function decline in non-dementia older adults , 2020, Alzheimer's Research & Therapy.

[27]  B. Hutter-Paier,et al.  Neurofilament-Light Chain as Biomarker of Neurodegenerative and Rare Diseases With High Translational Value , 2020, Frontiers in Neuroscience.

[28]  C. Enzinger,et al.  Serum neurofilament light levels in normal aging and their association with morphologic brain changes , 2020, Nature Communications.

[29]  B. Polis,et al.  Role of the metabolism of branched-chain amino acids in the development of Alzheimer's disease and other metabolic disorders , 2020, Neural regeneration research.

[30]  T. Olsson,et al.  Confounding effect of blood volume and body mass index on blood neurofilament light chain levels , 2020, Annals of clinical and translational neurology.

[31]  L. Tan,et al.  Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia , 2020, Alzheimer's & dementia.

[32]  L. Tan,et al.  Neurofilament Light Chain in Cerebrospinal Fluid and Blood as a Biomarker for Neurodegenerative Diseases: A Systematic Review and Meta-Analysis. , 2019, Journal of Alzheimer's disease : JAD.

[33]  C. Jack,et al.  Comparison of variables associated with cerebrospinal fluid neurofilament, total-tau, and neurogranin , 2019, Alzheimer's & Dementia.

[34]  I. Kwon,et al.  Associations Between Skeletal Muscle Mass, Grip Strength, and Physical and Cognitive Functions in Elderly Women: Effect of Exercise with Resistive Theraband , 2019, Journal of exercise nutrition & biochemistry.

[35]  K. Blennow,et al.  Diagnostic Value of Cerebrospinal Fluid Neurofilament Light Protein in Neurology: A Systematic Review and Meta-analysis. , 2019, JAMA neurology.

[36]  P. Calabresi,et al.  Neurofilament light chain as a biomarker in neurological disorders , 2019, Journal of Neurology, Neurosurgery, and Psychiatry.

[37]  J. Steinert,et al.  The metabolome identity: basis for discovery of biomarkers in neurodegeneration , 2019, Neural regeneration research.

[38]  L. Ferrucci,et al.  Low plasma lysophosphatidylcholines are associated with impaired mitochondrial oxidative capacity in adults in the Baltimore Longitudinal Study of Aging , 2019, Aging cell.

[39]  Y. Shao,et al.  Recent advances and perspectives of metabolomics-based investigations in Parkinson’s disease , 2019, Molecular Neurodegeneration.

[40]  R. Carson Get a grip: individual variations in grip strength are a marker of brain health , 2018, Neurobiology of Aging.

[41]  H. Lane,et al.  Blood levels of D-amino acid oxidase vs. D-amino acids in reflecting cognitive aging , 2017, Scientific Reports.

[42]  L. Ferrucci,et al.  Plasma Biomarkers of Poor Muscle Quality in Older Men and Women from the Baltimore Longitudinal Study of Aging. , 2016, The journals of gerontology. Series A, Biological sciences and medical sciences.

[43]  N. Danbolt,et al.  Glutamate as a neurotransmitter in the healthy brain , 2014, Journal of Neural Transmission.

[44]  Manuel Serrano,et al.  The Hallmarks of Aging , 2013, Cell.

[45]  L. Ferrucci,et al.  Trajectories of gait speed predict mortality in well-functioning older adults: the Health, Aging and Body Composition study. , 2013, The journals of gerontology. Series A, Biological sciences and medical sciences.

[46]  S. Studenski,et al.  Gait speed and survival in older adults. , 2011, JAMA.

[47]  Tian-Le Xu,et al.  Glycine and glycine receptor signaling in hippocampal neurons: Diversity, function and regulation , 2010, Progress in Neurobiology.

[48]  John W. Olney,et al.  NMDA receptor function, memory, and brain aging , 2000, Dialogues in clinical neuroscience.

[49]  L. Ferrucci,et al.  Targeted Metabolomics Shows Low Plasma Lysophosphatidylcholine 18: 2 Predicts Greater Decline of Gait Speed in Older Adults The Baltimore Longitudinal Study of Aging , 2019, The journals of gerontology. Series A, Biological sciences and medical sciences.

[50]  Peel,et al.  Gait Speed as a Measure in Geriatric Assessment in Clinical Settings : A , 2012 .

[51]  Lauren L. Jones,et al.  Acylcarnitines: role in brain. , 2010, Progress in lipid research.