Supplementary material from "Size and dielectric properties of skeletal stem cells change critically after enrichment and expansion from human bone marrow: consequences for microfluidic cell sorting"

Supportive supplementary material including individual patient data of fluorescence flow cytometry measurements (Fig. S1), individual scatter plots of microfluidic impedance cytometry data of human bone marrow mononuclear cells (Fig. S2), simulation data of the impedance response of cells with different membrane capacitance and radii (Fig. S3), individual measurements of cell size and opacity (Fig. S4), and alkaline phosphatase staining images from four individual patients from passage 0 to 3 (Fig. S5)

Relative WHODAS dimension contributions to the indirect effect of disability on perceived health VAS for each condition, overall sample.

<p>WMH Surveys (Alcohol Abuse and Drug Abuse are not represented because their respective overall indirect effect is not significant).</p

Direct and indirect effects (via WHODAS dimensions) of common chronic conditions on perceived health VAS, overall sample.

<p>WMH Surveys.</p

Distribution of the WHODAS dimension scores by income level. The WMH Surveys.

<p>Distribution of the WHODAS dimension scores by income level. The WMH Surveys.</p

Effects (direct and indirect via WHODAS dimension scores) of conditions on perceived health VAS, overall sample.

<p>WMH surveys.</p><p>p-value<0.05.</p>1<p>Only dimensions with statistically significant effect are included. Getting along and Discrimination not statistically significant.</p

General mediation model used in analyses.

<p>The figure displays the general mediation model that has been used to estimate effects according to path-diagrammatic conventions. Squares represent variables. <i>D_i</i> is one of the <i>p = 19</i> disorders under consideration, <i>M_j</i> is one of the <i>k = 8</i> mediating variables (disability dimensions), and VAS is the final outcome. Arrows represent regression slope parameters from independent variables to outcomes. The <i>δ</i> parameters stand for the direct effect regression from disorders to the final outcome. The <i>ι</i> parameters indicate the two regression components of the disorder indirect effects as mediated by <i>M</i>: a) <i>p</i> x <i>k</i> regression parameters from <i>D</i> to <i>M</i> (<i>ι_Dij</i>) and b) k regression parameters from <i>M</i> to VAS (<i>ι_M</i>_j). For each disorder the model can be decomposed in two paths: 1) VAS regressed on disorders, and 2) a causal mediation chain of VAS regressed on mediators which in turn are regressed on disorders. The partial indirect effect of a certain disorder <i>D_i</i> through a mediator <i>M_j</i> is <i>ι_Dij</i> x <i>ι_Mj</i>, whereas its total indirect effect is the sum of the <i>k</i> products across mediators (). Total effects for a disorder are the sum of direct and total indirect effect (<i>δ_i</i>+<i>Ι_i</i>). Directionality cannot be assumed as a causal association in our study due to its cross-sectional, observational nature. Also notice that in the general model, the effect of each disorder on each mediator is adjusted by the direct effect of the remaining disorders (thus controlling for comorbidity), while the impact of a disorder on VAS is controlled by the total effects of the other disorders. Disability is thus fully taken into account, even though it is decomposed in subscales. The effects on VAS are also controlled for age, gender, employment status and country.</p