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Plasma levels of neurology-related proteins are associated with cognitive performance in an older population with overweight/obesity and metabolic syndrome
Abstract
Cognitive impairment is present in a broad spectrum of medical conditions and in aging. Here, we aimed to identify plasma proteins related to cognitive function in a sample of older adults with overweight/obesity and metabolic syndrome. A total of 129 subjects (mean age 64.7 years; 36% females) were grouped according to low (l-GCF, N=65) or high (h-GCF, N=64) global cognitive function and matched according to education, sex, age, and body mass index. Cognitive performance was assessed using neuropsychological tests. Plasma levels of 92 neurology-related proteins were assessed using a proximity extension assay. An elastic net regression analysis was used to identify proteins more associated with cognitive performance. Additionally, the protein expression levels were compared between the two groups by means of a t-test with false discovery rate correction. Pearson correlations were used to assess associations between the protein levels and scores from the neurocognitive tests. Six proteins (alpha-2-MRAP, HAGH, Siglec-9, MDGA1, IL12, and EDA2R) were identified as potential contributors to cognitive performance, remaining significantly increased in l-GCF compared to h-GCF participants after correction for multiple testing. Negative correlations (r= −0.23 to −0.18, i.e., lower protein levels, higher cognitive function) were found between global cognitive function and Siglec-9, NMNAT1, HAGH, LXN, gal-8, alpha-2-MRAP, IL12, PDGF-R-alpha, NAAA, EDA2R, CLEC1B, and LAT. Mini-mental state examination z scores showed the strongest correlations with protein levels, specifically negative correlations with CLEC1b, LXN, LAT, PLXNB3, NMNAT1, gal-8, HAGH, NAAA, CTSS, EZR, KYNU, MANF (r=−0.38 to −0.26) and a positive correlation with ADAM23 (r= 0.26). In summary, we identified several plasma proteins that were significantly associated with cognitive performance in older adults with obesity and metabolic syndrome, although further research is needed to replicate the results in larger samples and to include a predictive perspective.
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“and plasma levels are negatively correlated with cognition in some conditions (65).”
From LRPAP1 is released from activated microglia and inhibits microglial phagocytosis and amyloid beta aggregation (2023) · cites this paper as [65]
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Assarsson, E., Lundberg, M., Holmquist, G., Björkesten, J., Bucht Thorsen, S., Ekman, D., Eriksson, A., Rennel Dickens, E., Ohlsson, S., Edfeldt, G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095192 · Cited by 1,874
Selective review of cognitive aging
SALTHOUSE, T. A. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710000706 · Cited by 1,166
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science · doi:10.1126/science.1235488 · Cited by 827
Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimer’s disease
Whelan, C. D., Mattsson, N., Nagle, M. W., Vijayaraghavan, S., Hyde, C., Janelidze, S., Stomrud, E., Lee, J., Fitz, L., Samad, T. A., et al. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0795-2 · Cited by 262
Plasma IL-12/IFN-γ axis predicts cognitive trajectories in cognitively unimpaired older adults
Yang, H., Zhang, C., Carlyle, B. C., Zhen, S. Y., Trombetta, B. A., Schultz, A. P., Pruzin, J. J., Fitzpatrick, C. D., Yau, W. W., Kirn, D. R., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12399 · Cited by 90 · cited 1×
“Nevertheless, IL12 was found to be associated with slower cognitive decline in patients with elevated amyloid β [52].”
BackgroundHillary, R. F., McCartney, D. L., Harris, S. E., Stevenson, A. J., Seeboth, A., Zhang, Q., Liewald, D. C., Evans, K. L., Ritchie, C. W., Tucker-Drob, E. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11177-x · Cited by 78
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Sorted by citations
Reid, K. M., & Brown, G. C. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1286474 · Cited by 13
Metadata
- Authors
- Llaurador-Coll, M., Rios, S., García-Gavilán, J. F., Babio, N., Vilella, E., & Salas-Salvadó, J.
- ORCID
- Venue
- GeroScience
- Published
- 2023-03-25
- Volume
- 45
- Issue
- 4
- Pages
- 2457-2470
- ISSN
- 2509-2723
- PMC
- PMC10651568
- Cited by
- 21
- References
- 7
- Language
- en
- Funders
- Agència de Gestió d'Ajuts Universitaris i de Recerca (2017SGR444, 2017SGR691)
- “la Caixa” Foundation (2013ACUP00194)
- Universitat Rovira i Virgili (PMF2021-IN000681)
- Instituto de Salud Carlos III (PI13/00462, PI16/00501, PI19/00576)
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