Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis

Table 1

(a) The top 20 genes in the network ranked by degrees

Name	Degree	Change	Cluster
TP53	76	Down
LCK	59	Down	1
MMP9	56	Up	2
CCL5	54	Down	1
CD28	53	Down	1
TBX21	50	Down	1
CD2	48	Down	1
ZAP70	48	Down	1
CD3E	46	Down	1
CCR7	46	Down	1
CD4	44	Down	1
MPO	43	Up
IL2RB	43	Down	1
CD247	42	Down	1
ELANE	42	Up	1; 2
ITK	42	Down	1
GATA3	41	Down	1
C3AR1	41	Up	1
PRF1	40	Down	1
FYN	40	Down	1

(b) The top 20 genes in the network ranked by maximal clique centrality (MCC)

Name	MCC	Change	Cluster
ELANE		Up	1; 2
SLPI		Up	2
HP		Up	2
PTX3		Up	2
DEFA4		Up	2
BPI		Up	2
CAMP		Up	2
ORM1		Up	2
LCN2		Up	2
MMP9		Up	2
PGLYRP1		Up	2
RAB27A		Up	2
MMP8		Up	2
LTF		Up	2
TCN1		Up	2
LRG1		Up	2
RETN		Up	2
ARG1		Up	2
OLFM4		Up	2
CHI3L1		Down	2