Figure 1.

Comparative design and multiple logistic regression (MLR) model development. (A) Four patterns of comparison include (a) Control vs (sarcoidosis + BD + VKH), (b) sarcoidosis vs (BD + VKH), (c) BD vs (sarcoidosis + VKH), and (d) VKH vs (BD + sarcoidosis). (B) The development and validation of an MLR model, which starts from the metabolite concentration matrix (sample × metabolites), selecting metabolites showing the significant differences, further selecting independent minimum metabolites by stepwise feature selection, and development of an MLR model. The developed model was validated by cross-validation (CV) and resampling methods. Abbreviations: Behҫet’s disease, BD; Vogt-Koyanagi-Harada disease, VKH. The discrimination abilities of the metabolites were evaluated using both univariate and multivariate analyses. Half of the minimum concentration was substituted for the data under the lower limit of quantification. Differences in metabolite concentrations between two groups were evaluated by the Mann-Whitney U test. The design of the comparison is depicted in Figure 1A. The discrimination ability of uveitis including all three diseases from controls were evaluated (a). To access the diagnostic ability among three diseases, the discrimination abilities of sarcoidosis from BD + VKH (b), BD from sarcoidosis + VKH (c), and VKH from BD + sarcoidosis (d) were also evaluated.