4.4 Article

Sex-specific muscle and metabolic biomarkers associated with gait speed and cognitive transitions in older adults: a 9-year follow-up

期刊

GEROSCIENCE
卷 42, 期 2, 页码 585-593

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SPRINGER
DOI: 10.1007/s11357-020-00163-7

关键词

Gait speed; Cognition; Biomarkers; Transitions; Sex-specific

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Physical frailty and cognitive frailty share biological mechanisms, but sex-specific biomarkers associated with transitions in gait speed and cognition during ageing are poorly understood.Gait speed, cognition (3MSE), body composition (DXA) and serological biomarkers were assessed annually over 9 years in 216 males (72.7 + 8.07 years) and 384 females (71.1 + 8.44 years). In females, maintaining normal gait speed was associated with lower percent body fat (IRR 0.793, p = 0.001, 95%CI 0.691-0.910) and lower lactate dehydrogenase (LDH) (IRR 0.623, p = 0.00, 95%CI 0.514-0.752), and in males, the association was with higher cholesterol (IRR 1.394, p = 0.001, 95%CI 1.154-1.684). Abnormal to normal gait speed transitions were associated with higher insulin in females (IRR 1.325, p = 0.022, 95%CI 1.041-1.685) and lower creatinine in males (IRR 0.520, p = 0.01, 95%CI 0.310-0.870). Normal to slow gait speed transitions in males were associated with IGF-1 (IRR 1.74, p = 0.022, 95%CI 1.08-2.79) and leptin in females (IRR 1.39, p = 0.043, 95%CI 1.01-1.91.) Maintaining normal cognition was associated with lower LDH in females (IRR 0.276, p = 0.013, 95%CI 0.099-0.765) and higher appendicular skeletal muscle mass in males (IRR 1.52, p = 0.02, 95%CI 1.076-2.135). Improved cognition was associated with higher leptin (IRR 7.5, p = 0.03, 95%CI 1.282-44.34) and lower triglyceride (IRR 0.299, p = 0.017, 95%CI 0.110-0.809) in males. Education was protective against cognitive decline in females (IRR 0.84, p = 0.037, 0.732-0.982). Sex-specific biomarkers of muscle (LDH, Creatinine, IGF-1, APSM) and metabolism (%fat, insulin,cholesterol, leptin, tryglycerides) were associated with gait speed and cognitive transitions. These data suggest that modifiable biomarkers of muscle and metabolism could be targeted for interventions.

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