Identification of core genes and pathways between geriatric multimorbidity and renal insufficiency: potential therapeutic agents discovered using bioinformatics analysis

Table 3 Hub node genes in the PPI network identified with filtering node degree ≥ 10

Name	Degree	MCC	Name	Degree	MCC
APP	50	9.22E+13	P4HB	19	9.22E+13
IL6	44	9.22E+13	CP	19	9.22E+13
KNG1	44	9.22E+13	HSPG2	18	870
AKT1	38	1.86E+03	SMAD4	18	134
VEGFA	35	8.72E+10	ITGAM	18	25
APOB	33	9.22E+13	IL1B	17	6744
FN1	31	9.22E+13	VWF	17	8.72E+10
TIMP1	30	9.22E+13	HGF	17	8.72E+10
ALB	29	9.22E+13	IL2	17	5088
TNF	29	6252	CASR	17	4.04E+07
APOA1	28	9.22E+13	CCR5	17	3.99E+07
EGF	28	8.72E+10	ADRB2	17	6056
SHC1	26	4286	SMAD3	16	128
RELA	26	3075	IRS1	16	1634
CXCL8	26	4.00E+07	MMP9	15	104
SERPINA1	25	9.22E+13	SST	15	4.00E+07
GAS6	25	9.22E+13	CCL5	14	3.99E+07
APOE	25	9.22E+13	HIF1A	13	99
IGF1	25	8.72E+10	LEP	13	95
GRB2	25	4154	CCL2	12	2916
INS	25	2607	LPL	12	2169
TP53	25	85	LRP1	12	1474
GNB3	24	4.04E+07	ESR1	12	48
JAK2	23	2276	ADRBK1	12	378,240
TGFB1	23	8.72E+10	PTH	12	5050
RHOA	23	946	CD40LG	11	72
PF4	23	8.72E+10	CASP3	11	30
SPP1	22	9.22E+13	CXCR2	11	3.99E+07
IGFBP3	22	9.22E+13	TAC1	11	403,206
NFKB1	22	880	CD4	11	729
TF	22	9.22E+13	PPARG	11	43
AGT	22	4.04E+07	MMP2	10	66
IL4	21	6585	KIT	10	771
FGF23	21	9.22E+13	ICAM1	10	731
POMC	21	4.00E+07	TLR4	10	844
CST3	20	9.22E+13	APOC3	10	4320
SERPINE1	20	8.72E+10	CDKN1A	10	75
EDN1	20	368,215	GAST	10	403,200
AGTR1	20	449,598	CALCA	10	5.05E+03
IL10	19	3815

Degree: Represents the number of connections between a node and other nodes. In network analysis, the higher the degree of a protein, the correlation between it and many other proteins is proved and it can be considered as a key protein
MCC (Maximal Clique Centrality): MCC algorithm can calculate the core targets in the network and has been proved to be an accurate method for predicting important targets in CytoHubba

ISSN: 1755-8794