Associations of Neurological Biomarkers in Serum With Gait Measures: The Cardiovascular Health Study

Author:

Nadkarni Abhijay N1,Mukamal Kenneth J2ORCID,Zhu Xiaonan1,Siscovick David3,Brach Jennifer S4ORCID,Jacob Mini5,Seshadri Sudha6,Abe Temidayo7,Rosano Caterina1ORCID,Djousse Luc8ORCID,Rosso Andrea L1

Affiliation:

1. School of Public Health, University of Pittsburgh , Pittsburgh , Pennsylvania , USA

2. Beth Israel Deaconess Medical Center , Boston , Massachusetts , USA

3. New York Academy of Medicine , New York , New York , USA

4. Department of Physical Therapy, University of Pittsburgh , Pittsburgh , Pennsylvania , USA

5. University of Washington School of Medicine , Seattle , Washington , USA

6. University of Texas Health Science Center at San Antonio , San Antonio , Texas , USA

7. Morehouse School of Medicine , Atlanta , Georgia , USA

8. Brigham and Women’s Hospital , Boston , Massachusetts , USA

Abstract

Abstract Background Gait impairment leads to increased mobility decline and may have neurological contributions. This study explores how neurological biomarkers are related to gait in older adults. Methods We studied participants in the Cardiovascular Health Study, a population-based cohort of older Americans, who underwent a serum biomarker assessment from samples collected in 1996–1997 for neurofilament light chain (NfL), glial fibrillary acidic protein, ubiquitin carboxy-terminal hydrolase L1, and total tau (n = 1 959, mean age = 78.0 years, 60.8% female). In a subsample (n = 380), cross-sectional associations with quantitative gait measures were explored. This subsample was assessed on a mat for gait speed, step length, double support time, step time, step length variability, and step time variability. Gait speed was also measured over a 15-ft walkway annually from 1996–1997 to 1998–1999 for longitudinal analyses. Linear regression models assessed cross-sectional associations of biomarkers with gait measures, whereas mixed effects models assessed longitudinal gait speed change from baseline to 1998–1999. Results Neurofilament light chain was significantly associated with annual gait speed decline (standardized β = −0.64 m/s, 95% CI: [−1.23, −0.06]) after adjustment for demographic and health factors. Among gait mat-assessed phenotypes, NfL was also cross-sectionally associated with gait speed (β = 0.001 m/s [0.0003, 0.002]) but not with other gait measures. None of the remaining biomarkers were significantly related to gait in either longitudinal or cross-sectional analyses. Conclusions Higher NfL levels were related to greater annual gait speed decline. Gait speed decline may be related to axonal degeneration. The clinical utility of NfL should be explored.

Funder

National Heart, Lung, and Blood Institute

National Institute of Neurological Disorders and Stroke

National Institute on Aging

Publisher

Oxford University Press (OUP)

Reference46 articles.

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4. Assessing the temporal relationship between cognition and gait: slow gait predicts cognitive decline in the mayo clinic study of aging;Mielke;J Gerontol A Biol Sci Med Sci.,2013

5. Slowing gait and risk for cognitive impairment: the hippocampus as a shared neural substrate;Rosso,2017

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