Inflammatory signatures in older persons with physical frailty and sarcopenia: The frailty "cytokinome" at its core

被引:83
作者
Marzetti, Emanuele [1 ]
Picca, Anna [1 ,2 ]
Marini, Federico [3 ]
Biancolillo, Alessandra [3 ]
Coelho-Junior, Helio Jose [2 ,4 ]
Gervasoni, Jacopo [1 ,2 ]
Bossola, Maurizio [1 ,2 ]
Cesari, Matteo [5 ,6 ]
Onder, Graziano [1 ,2 ]
Landi, Francesco [1 ,2 ]
Bernabei, Roberto [1 ,2 ]
Calvani, Riccardo [1 ,2 ]
机构
[1] Fdn Policlin Univ Agostino Gemelli IRCCS, Rome, Italy
[2] Univ Cattolica Sacro Cuore, Rome, Italy
[3] Sapienza Univ Roma, Dept Chem, Rome, Italy
[4] Univ Estadual Campinas, Sch Phys Educ, Appl Kinesiol Lab LCA, Campinas, SP, Brazil
[5] Univ Milan, Dept Clin Sci & Community Hlth, Milan, Italy
[6] IRCCS Ca Granda Osped Maggiore Policlin, Geriatr Unit, Milan, Italy
关键词
Aging; Cytokines; Physical performance; Multi-block partial least squares - discriminant analysis; Inflammaging; Biomarkers; SKELETAL-MUSCLE REGENERATION; MOBILITY LIMITATION; PERFORMANCE; CELLS; NEUTROPHIL; CHEMOKINES; MORTALITY; MARKERS; MCP-1; ASSOCIATION;
D O I
10.1016/j.exger.2019.04.019
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background: The construct of physical frailty and sarcopenia (PF&S) identifies an age-related pre-disability condition defined by reduced physical performance and low muscle mass. Whether PF&S is characterized by perturbations of the cytokine network is presently unclear. Furthermore, the existence of gender-specific inflammatory profiles of PF&S is unknown. This study was designed to explore the association between a large panel of inflammatory biomolecules and PF&S in older adults through a multivariate statistical approach. Gender-specific inflammatory patterns were also explored. Methods: One-hundred community-dwellers aged 70 years and older with PF&S and 100 non-sarcopenic, non-frail controls (nonPF&S) were enrolled. A panel of 30 circulating inflammatory biomarkers was assayed. Partial least squares discriminant analysis (PLS-DA) was employed to explore the relationship between inflammatory molecules and PF&S. Separate PLS-DA models were built for the whole sample and the two genders. Double cross-validation procedures were used to validate the predictive ability of PLS-DA models. Results: The optimal complexity of the PLS-DA model built on the whole sample was found to be four latent variables. The proportion of correct classification was 75.6 +/- 1.3% (82.3 +/- 1.6% for enrollees with PF&S and 68.7 +/- 2.5% for nonPF&S controls). The inflammatory profile of people with PF&S was defined by higher levels of P-selectin, C-reactive protein (CRP), and interferon gamma-induced protein 10. NonPF&S participants were characterized by higher levels of myeloperoxidase (MPO), interleukin (IL) 8, monocyte chemoattractant protein 1 (MCP-1), macrophage inflammatory protein 1-alpha, platelet-derived growth factor (PDGF) BB. Gender-specific PLS-DA allowed identifying a "core" inflammatory signature of PF&S, composed by higher levels of CRP, and lower concentrations of MPO, IL8, MCP-1, and PDGF-BB, with peculiar patterns of relationships for men and women. Conclusions: A core inflammatory profile was identified in people with PF&S with a gender-specific signature. The dissection of the PF&S "cytokinome" will provide novel insights into the role played by inflammation in the disabling cascade and allow designing personalized treatment strategies.
引用
收藏
页码:129 / 138
页数:10
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