The decrease is inversely related to the intensity of systemic inflammation, determined by an inverse correlation with levels of acute-phase protein (CRP).
The DUNDRUM-1 correlated weakly and inversely with the START-S, moderately with the START-V and had a weak inverse correlation with the SAPROF.
In this limit, T1 is inversely correlated with the correlation time.
Similar Paganelli et al. described an inversely correlation of volumetric BMD with disease activity measured by PCDAI and IL-6 [ 38].
The Spearman correlation analysis indicated that NDRG2 protein expression was inversely correlated with GLUT1 expression (Pearson correlation coefficient r s = -0.179; P = 0.003) (Table 3).
At the level of individual matches between microRNAs and the inversely modulated, predicted targets, a rather small proportion of the target genes were inversely correlated with a considerable correlation coefficient (ranging from r = −0.5 to −0.95, see Table 2).
Further statistical analysis showed that PLAGL1/ZAC1 methylation was inversely correlated with KVDMR-ICR2 (correlation coefficient = −0.290; p < 0.001).
Furthermore, LF% and LF/HF were inversely correlated with hydration status (correlation coefficients were respectively r = –0.31 and r = -0.33, p-value < 0.05).
In unadjusted correlations, age was inversely correlated with T, FAI, and FT (R = −0.12, −0.32, −0.25, respectively; p < 0.05 for all) and positively correlated with FSH and SHBG (R = 0.13 and 0.15, respectively; p < 0.05 for both).
No correlations were found between osteocalcin and insulin secretion or AUC of glucose, whereas fasting glucose was inversely correlated with osteocalcin, but this correlation did not reach statistical significance (R = −0.44, P = 0.07).
