Validation by Gene Expression Omnibus
11824 studies were retrieved using the keyword “tuberculosis” in the
GEO database (https://www.ncbi.nlm.nih.gov/geo/). Set the study type as
expression profiling by array, species as mus musculus and homo sapiens,
and sample type as the whole blood or PBMCs. The expression profile data
of the GSE140943 dataset (36)composed of three uninfected mice and five
56 days infected mice and the expression profile data of six uninfected
C57BL/6 mice and five 21 days infected C57BL/6 mice in the GSE89389
dataset(37). In the GSE102459 dataset(33), there were PBMC gene
expression profile data of the M72/AS01 vaccine at 0 and 31 days of
treatment. The DE genes were filtered using the GEO2R online analysis
tool (set |log2FC|>1 and P <
0.05 as thresholds)(38). We compared the DE genes in the three datasets
with our research results in the TB model vs. normal group, 100μg DNA IM
vs. TB model group, and 50μg DNA EP vs. TB model group. The GSE89403
dataset using peripheral blood samples identified biomarkers for
clinically relevant responses to TB treatment. Selected the DE genes
both in the TB model vs. the normal group and in the GSE89403 dataset.
The correlation between 6 DE genes’ fold change values at 4 and 24 weeks
and anti-tuberculosis treatment response were analyzed by multivariate
logistic regression analysis with SPSS version 26. P
value<0.05 was considered to have a significant difference.