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. 2017 Feb;8(1):69-77.
doi: 10.1002/jcsm.12134. Epub 2016 Aug 8.

Systemic inflammation, body composition, and physical performance in old community-dwellers

Affiliations

Systemic inflammation, body composition, and physical performance in old community-dwellers

Riccardo Calvani et al. J Cachexia Sarcopenia Muscle. 2017 Feb.

Abstract

Background: Chronic inflammation, changes in body composition, and declining physical function are hallmarks of the ageing process. The aim of the present study was to provide a preliminary characterisation of the relationship among these age-related phenomena via multivariate modelling.

Methods: Thirty-five old adults (OAs) and 17 young adults (YAs) were enrolled. The volume of skeletal muscle, subcutaneous adipose tissue (SAT), and intermuscular adipose tissue (IMAT) of the thigh was quantified by three-dimensional magnetic resonance imaging. Muscle strength was measured by knee extension strength testing. In OAs, physical performance was further assessed via the Short Physical Performance Battery (SPPB). Multi-block partial least squares-discriminant analysis (PLS-DA) was employed to explore the relationship among inflammatory profiles and functional and imaging parameters. Double cross-validation procedures were used to validate the predictive ability of the PLS-DA model.

Results: The optimal complexity of the PLS-DA model was found to be two latent variables. The proportion of correct classification was 92.3% in calibration (94.1% in YAs and 91.4% in OAs), 84.6% in internal validation (95.3% in YAs and 78.5% in OAs), and 82.6% in external validation (94% in YAs and 76.9% in OAs). Relative to YAs, OAs were characterised by smaller muscle volume, greater IMAT volume, lower muscle strength, and higher levels of myeloperoxidase, P-selectin, soluble intercellular adhesion molecule 1, and vascular cell adhesion molecule 1. Compared with OAs with SPPB >8, those scoring ≤8 were characterised by smaller muscle volume, greater SAT volume, lower muscle strength, and higher levels of interleukin 1 beta, 6, 10, 12, 13, tumour necrosis factor alpha, and granulocyte-macrophage colony-stimulating factor.

Conclusions: Multi-block PLS-DA identified distinct patterns of relationships among circulating cytokines and functional and imaging parameters in persons of different ages and varying levels of physical performance. The longitudinal implementation of such an innovative strategy could allow for the tracking of health status over time, the early detection of deviations in health trajectories, and the monitoring of response to treatments.

Keywords: Ageing; Cytokines; Inflammaging; Multi-block partial least squares - discriminant analysis; Muscle strength; Short Physical Performance Battery (SPPB).

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Figures

Figure 1
Figure 1
Distribution of (a) number of misclassifications (NMC), (b) area under the receiver operating characteristic (ROC) curve (AUROC), and (c) discriminant Q2 (DQ2) values under their respective null hypothesis as estimated by permutation tests with 1000 randomisation (blue histograms) and the corresponding values obtained by the PLS‐DA model on unpermuted data (red circles).
Figure 2
Figure 2
Scores (a) and loadings (b) plots showing the relationships among inflammatory, functional, and thigh composition parameters in the space spanned by the two latent variables (LV1 and LV2), as determined by multi‐block PLS‐DA. In the scores plot, the diagonal line and the double‐headed arrow (added to facilitate interpretation) indicate the boundary between age groups and the direction along which the separation occurs, respectively. The loadings plot shows a negative correlation between subcutaneous fat (SubFat) and intermuscular adipose tissue (IMAT) volumes, and a positive correlation between IMAT volume and circulating levels of P‐selectin, MPO, sVCAM‐1, and sICAM‐1.
Figure 3
Figure 3
Scores plot showing the separation of participants according to inflammatory, functional, and thigh composition parameters in the space spanned by the two latent variables (LV1 and LV2), as determined by multi‐block PLS‐DA. The diagonal line (added to facilitate interpretation) corresponds to the boundary between older adults with SPPB >8 (‘high‐functioning’) and those with SPPB ≤8 (‘low‐functioning’). The double‐headed arrow indicates the direction along which the separation occurs.

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