BACKGROUND: Risk factors for vascular cognitive impairment (VCI) are the same as traditional risk factors for cerebrovascular disease (CVD). Early identification of subjects at higher risk of VCI is important for the development of effective preventive strategies. In addition to traditional vascular risk factors (VRF), circulating biomarkers have emerged as potential tools for early diagnoses, as they could provide in vivo measures of the underlying pathophysiology. While VRF have been consistently linked to a VCI profile (i.e., deficits in executive functions and processing speed), the cognitive correlates of CVD biomarkers remain unclear. In this population-based study, the aim was to study and compare cognitive patterns in relation to VRF and circulating biomarkers of CVD. METHODS: The Barcelona-AsIA Neuropsychology Study included 747 subjects older than 50, without a prior history of stroke or coronary disease and with a moderate to high vascular risk (mean age, 66 years; 34.1% women). Three cognitive domains were derived from factoral analysis: visuospatial skills/speed, verbal memory and verbal fluency. Multiple linear regression was used to assess relationships between cognitive performance (multiple domains) and a panel of circulating biomarkers, including indicators of inflammation, C-reactive protein (CRP) and resistin, endothelial dysfunction, asymmetric dimethylarginine (ADMA), thrombosis, plasminogen activator inhibitor 1 (PAI-1), as well as traditional VRF, metabolic syndrome and insulin resistance (homeostatic model assessment for insulin resistance index). Analyses were adjusted for age, gender, years of education and depressive symptoms. RESULTS: Traditional VRF were related to lower performance in verbal fluency, insulin resistance accounted for lower performance in visuospatial skills/speed and the metabolic syndrome predicted lower performance in both cognitive domains. From the biomarkers of CVD, CRP was negatively related to verbal fluency performance and increasing ADMA levels were associated with lower performance in verbal memory. Resistin and PAI-1 did not relate to cognitive function performance. CONCLUSION: Vascular risk factors, and markers of inflammation and endothelial dysfunction predicted lower performance in several cognitive domains. Specifically, cognitive functions associated with CRP are typically affected in VCI and overlap those related to VRF. ADMA indicated a dissociation in the cognitive profile involving verbal memory. These findings suggest that inflammation and endothelial dysfunction might play a role in the predementia cognitive impairment stages.
BACKGROUND: Risk factors for vascular cognitive impairment (VCI) are the same as traditional risk factors for cerebrovascular disease (CVD). Early identification of subjects at higher risk of VCI is important for the development of effective preventive strategies. In addition to traditional vascular risk factors (VRF), circulating biomarkers have emerged as potential tools for early diagnoses, as they could provide in vivo measures of the underlying pathophysiology. While VRF have been consistently linked to a VCI profile (i.e., deficits in executive functions and processing speed), the cognitive correlates of CVD biomarkers remain unclear. In this population-based study, the aim was to study and compare cognitive patterns in relation to VRF and circulating biomarkers of CVD. METHODS: The Barcelona-AsIA Neuropsychology Study included 747 subjects older than 50, without a prior history of stroke or coronary disease and with a moderate to high vascular risk (mean age, 66 years; 34.1% women). Three cognitive domains were derived from factoral analysis: visuospatial skills/speed, verbal memory and verbal fluency. Multiple linear regression was used to assess relationships between cognitive performance (multiple domains) and a panel of circulating biomarkers, including indicators of inflammation, C-reactive protein (CRP) and resistin, endothelial dysfunction, asymmetric dimethylarginine (ADMA), thrombosis, plasminogen activator inhibitor 1 (PAI-1), as well as traditional VRF, metabolic syndrome and insulin resistance (homeostatic model assessment for insulin resistance index). Analyses were adjusted for age, gender, years of education and depressive symptoms. RESULTS: Traditional VRF were related to lower performance in verbal fluency, insulin resistance accounted for lower performance in visuospatial skills/speed and the metabolic syndrome predicted lower performance in both cognitive domains. From the biomarkers of CVD, CRP was negatively related to verbal fluency performance and increasing ADMA levels were associated with lower performance in verbal memory. Resistin and PAI-1 did not relate to cognitive function performance. CONCLUSION: Vascular risk factors, and markers of inflammation and endothelial dysfunction predicted lower performance in several cognitive domains. Specifically, cognitive functions associated with CRP are typically affected in VCI and overlap those related to VRF. ADMA indicated a dissociation in the cognitive profile involving verbal memory. These findings suggest that inflammation and endothelial dysfunction might play a role in the predementia cognitive impairment stages.
Authors: Stefano Tarantini; Peter Hertelendy; Zsuzsanna Tucsek; M Noa Valcarcel-Ares; Nataliya Smith; Akos Menyhart; Eszter Farkas; Erik L Hodges; Rheal Towner; Ferenc Deak; William E Sonntag; Anna Csiszar; Zoltan Ungvari; Peter Toth Journal: J Cereb Blood Flow Metab Date: 2015-07-15 Impact factor: 6.200
Authors: Anna Morozova; Yana Zorkina; Olga Abramova; Olga Pavlova; Konstantin Pavlov; Kristina Soloveva; Maria Volkova; Polina Alekseeva; Alisa Andryshchenko; Georgiy Kostyuk; Olga Gurina; Vladimir Chekhonin Journal: Int J Mol Sci Date: 2022-01-22 Impact factor: 5.923
Authors: Stefano Tarantini; Andriy Yabluchanksiy; Gábor A Fülöp; Peter Hertelendy; M Noa Valcarcel-Ares; Tamas Kiss; Jonathan M Bagwell; Daniel O'Connor; Eszter Farkas; Farzaneh Sorond; Anna Csiszar; Zoltan Ungvari Journal: Geroscience Date: 2017-12-14 Impact factor: 7.713
Authors: Astrid Suchy-Dicey; Dean Shibata; Brenna Cholerton; Lonnie Nelson; Darren Calhoun; Tauqeer Ali; Thomas J Montine; W T Longstreth; Dedra Buchwald; Steven P Verney Journal: J Int Neuropsychol Soc Date: 2019-12-03 Impact factor: 2.892