Skip to main content
. Author manuscript; available in PMC: 2022 Jul 1.
Published in final edited form as: Brain Behav Immun. 2021 Jan 30;95:45–60. doi: 10.1016/j.bbi.2021.01.026

Table 4.

Treelet Cluster Stability Assessment.

Adaptive Immunity Innate Immunity Soluble Molecules Allergy Immunity Chemokines
TC1 % TC2 % TC3 % TC4 % TC5 %
IL-2 83.0 IL-1β 85.2 sTNFRI 94.0 IL-5 96.1 ITAC 80.6
Fractalkine 83.0 TNFα 85.2 sIL-2Rα 94.0 IL-13 96.1 RANTES 80.6
IL-12p70 83.0 IL-6 85.2 sTNFRII 94.0
IL-7 83.0 MIP1β 78.6 sVCAM-1 41.7
IL-21 83.0 MIP3α 77.3
IFNγ 70.2
IL-23 70.2
IL-17A 63.7
IL-10 15.4 GM-CSF 16.0 - - IFN-γ 10.2 IL-8 7.2
IL-4 13.6 IL-8 5.7 - - IL-17A 10.2 - -
- - - - - - IL-23 10.2 - -

A 1000-fold iterative bootstrap of treelet transform performed with 5 clusters and a cut-level of 16 yielded sufficiently stable cluster formation. That is all markers contained in the final model appeared at least 60% of all bootstrapping iterations, with the exception of sVCAM-1 (41.7%) for which inclusion was justified based on biological relevance to other cluster variables. Markers below the solid line were excluded from the final treelet model due to low clustering percentages. Event rate for which an inflammatory marker was contained by a particular cluster is denoted by the clustering percentage (%).