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Metabolic risk affects fluid intelligence changes in healthy adults.

ABSTRACT: Metabolic syndrome affects persons of all ages and has been associated with cognitive decline. In a sample of 221 healthy adults (18.57 to 85.33 years), assessed up to 3 times (over up to 6.33 years), we applied a second-order bivariate dual-change-score model with strong factorial invariance to estimate the effects of previous levels of metabolic risk (MR) and fluid intelligence (Gf) on subsequent changes in both constructs. The results indicated that MR levels affect subsequent changes in Gf, whereas Gf does not affect changes in MR. This suggests that control of MR may be related to the change in a person's cognitive status, making early intervention, starting in young adulthood, a promising approach. To our knowledge, this is the first long-term study with such evidence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

SUBMITTER: Ghisletta P

PROVIDER: S-EPMC6829046 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Metabolic risk affects fluid intelligence changes in healthy adults.

Ghisletta Paolo P Mason Fabio F Dahle Cheryl L CL Raz Naftali N

Psychology and aging 20191007 7

Metabolic syndrome affects persons of all ages and has been associated with cognitive decline. In a sample of 221 healthy adults (18.57 to 85.33 years), assessed up to 3 times (over up to 6.33 years), we applied a second-order bivariate dual-change-score model with strong factorial invariance to estimate the effects of previous levels of metabolic risk (MR) and fluid intelligence (Gf) on subsequent changes in both constructs. The results indicated that MR levels affect subsequent changes in Gf, ...[more]

PMID: 31589057

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Project description:ObjectivesOur current understanding of hormone regulation in lung parenchyma is quite limited. We aimed to quantify a diverse array of biologically relevant protein mediators in alveolar lining fluid (ALF), compared to serum concentrations, and explore factors associated with protein compartmentalization on either side of the air-blood barrier.Research design and methodsParticipants were 24 healthy adult non-smoker volunteers without respiratory symptoms or significant medical conditions, with normal lung exams and office spirometry. Cell-free bronchoalveolar lavage fluid and serum were analyzed for 24 proteins (including enteric and metabolic hormones, apolipoproteins, adipokines, and cytokines) using a highly sensitive multiplex ELISA. Measurements were normalized to ALF concentrations. The ALF:serum concentration ratios were examined in relation to measures of protein size, hydrophobicity, charge, and to participant clinical and spirometric values.ResultsALF measurements from 24 individuals detected 19 proteins, including adiponectin, adipsin, apoA-I, apoA-II, apoB, apoC-II, apoC-III, apoE, C-reactive protein, ghrelin, glucose-dependent insulinotropic peptide (GIP), glucagon-like peptide-1 (GLP-1), glucagon, insulin, leptin, monocyte chemoattractant protein-1, plasminogen activator inhibitor-1, resistin, and visfatin. C-peptide and serpin E1 were not detected in ALF for any individual, and IL-6, IL-10, and TNF-alpha were not detected in either ALF or serum for any individual. In general, ALF levels were similar or lower in concentration for most proteins compared to serum. However, ghrelin, resistin, insulin, visfatin and GLP-1 had ALF concentrations significantly higher compared to serum. Importantly, elevated ALF:serum ratios of ghrelin, visfatin and resistin correlated with protein net charge and isoelectric point, but not with molecular weight or hydrophobicity.ConclusionsBiologically relevant enteric and metabolic hormones, apolipoproteins, adipokines, and cytokines can be detected in the ALF of healthy individuals. For the proteins measured, charge may influence trafficking and compartmentalization to the alveolar airspace more than molecular weight or hydrophobicity. These data may have implications for homeostasis and drug delivery to the lung.

Project description:BACKGROUND: In neuropsychiatric diseases with basal ganglia involvement, higher cognitive functions are often impaired. In this exploratory study, we examined healthy young adults to gain detailed insight into the relationship between basal ganglia volume and cognitive abilities under non-pathological conditions. METHODOLOGY/PRINCIPAL FINDINGS: We investigated 137 healthy adults that were between the ages of 21 and 35 years with similar educational backgrounds. Magnetic resonance imaging (MRI) was performed, and volumes of basal ganglia nuclei in both hemispheres were calculated using FreeSurfer software. The cognitive assessment consisted of verbal, numeric and figural aspects of intelligence for either the fluid or the crystallised intelligence factor using the intelligence test Intelligenz-Struktur-Test (I-S-T 2000 R). Our data revealed significant correlations of the caudate nucleus and pallidum volumes with figural and numeric aspects of intelligence, but not with verbal intelligence. Interestingly, figural intelligence associations were dependent on sex and intelligence factor; in females, the pallidum volumes were correlated with crystallised figural intelligence (r = 0.372, p = 0.01), whereas in males, the caudate volumes were correlated with fluid figural intelligence (r = 0.507, p = 0.01). Numeric intelligence was correlated with right-lateralised caudate nucleus volumes for both females and males, but only for crystallised intelligence (r = 0.306, p = 0.04 and r = 0.459, p = 0.04, respectively). The associations were not mediated by prefrontal cortical subfield volumes when controlling with partial correlation analyses. CONCLUSIONS/SIGNIFICANCE: The findings of our exploratory analysis indicate that figural and numeric intelligence aspects, but not verbal aspects, are strongly associated with basal ganglia volumes. Unlike numeric intelligence, the type of figural intelligence appears to be related to distinct basal ganglia nuclei in a sex-specific manner. Subcortical brain structures thus may contribute substantially to cognitive performance.

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Metabolic risk affects fluid intelligence changes in healthy adults.

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Metabolic risk affects fluid intelligence changes in healthy adults.

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