Basic Study
Copyright ©The Author(s) 2017.
World J Gastroenterol. Aug 7, 2017; 23(29): 5324-5332
Published online Aug 7, 2017. doi: 10.3748/wjg.v23.i29.5324
Table 1 Demographic features of study subject n (%)
CharacteristicsUC patientsNon IBD control
No. of patients (total)88
Sex (M/F)3/52/6
Age (mean ± SD, range, yr)39.75 ± 10.29 (25-62)40.75 ± 11.86 (24-60)
Disease duration (mean ± SD, Range, yr)6.35 ± 6.52 (1.5-21)NA
Disease extent
Proctitis3 (37.5)
Left sided colitis5 (62.5)
Medication
Mesalamine5 (62.5)0
Azathioprine3 (37.5)0
Steroids00
Table 2 List of primers used for reverse transcription and qRT-PCR
NamePrimerSequence (5’-3’)
Reverse Universal PrimerGTGCAGGGTCCGAGGT
hsa-miR-125b-5pRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGTCACAAGT
ForwardTCCCTGAGACCCTAACTTG
hsa-miR-223-3pRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGTGGGGTAT
ForwardTGTCAGTTTGTCAAATACCC
hsa-miR-155-5pRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACCCCTAT
ForwardTTAATGCTAATCGTGATAGG
hsa-miR-138-5pRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGCGGCCTGA
ForwardAGCTGGTGTTGTGAATCAG
hsa-miR-200a-3pRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGACATCGTT
ForwardTAACACTGTCTGGTAACGAT
hsa-miR-378dRTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGTTTCTGTC
ForwardACTGGACTTGGAGTCAGAAA
Sno RNA U6RTGTCGTATCCAGTGCAGGGTCCGAGGTATTCGCACTGGATACGAAAATATG
ForwardCAAATTCGTGAAGCGTTCCA
Table 3 List of top 44 differentially expressed miRNAs in the inflamed colonic mucosal biopsies of ulcerative colitis patients determined by microarray
MicroRNAF.C1ExpressionMicroRNAF.CExpression
hsa-miR-138-5p35.16Upregulatedhsa-miR-148a-5p2.42Upregulated
hsa-miR-708-5p34.7Upregulatedhsa-miR-155-5p2.33Upregulated
hsa-miR-212-3p24.06Upregulatedhsa-miR-21-5p1.81Upregulated
hsa-miR-453826.12Upregulatedhsa-miR-196b-3p1.50Upregulated
hsa-miR-452117.69Upregulatedhsa-miR-552-3p-7.82Downregulated
hsa-miR-441716.63Upregulatedhsa-miR-196b-5p-7.60Downregulated
hsa-miR-17-3p15.28Upregulatedhsa-miR-378d-5p-4.06Downregulated
hsa-miR-424-3p14.17Upregulatedhsa-miR-141-3p-3.03Downregulated
hsa-miR-874-3p13.47Upregulatedhsa-miR-10b-5p-2.85Downregulated
hsa-miR-25-5p13.41Upregulatedhsa-miR-215-5p-2.56Downregulated
hsa-miR-223-3p13.01Upregulatedhsa-miR-192-5p-2.52Downregulated
hsa-miR-1271-5p11.96Upregulatedhsa-miR-194-3p-2.31Downregulated
hsa-miR-148b-3p11.31Upregulatedhsa-miR-422a-2.22Downregulated
hsa-miR-501-5p11.26Upregulatedhsa-miR-200a-3p-2.14Downregulated
hsa-miR-448610.86Upregulatedhsa-miR-378a-3p-2.04Downregulated
hsa-miR-224-3p10.46Upregulatedhsa-miR-6732-5p-1.94Downregulated
hsa-miR-21-3p8.46Upregulatedhsa-miR-147b-1.78Downregulated
hsa-miR-146b-5p6.83Upregulatedhsa-miR-200b-3p-1.7Downregulated
hsa-miR-149-5p6.24Upregulatedhsa-miR-572-1.63Downregulated
hsa-miR-31-5p4.04Upregulatedhsa-miR-4649-5p-1.61Downregulated
hsa-miR-491-5p3.92Upregulatedhsa-miR-638-1.6Downregulated
hsa-miR-125b-5p2.56Upregulatedhsa-miR-299-5p-1.59Downregulated
Table 4 List of potential targets and the pathway involved
MicroRNATarget genePathway involved
hsa-miR-155-5pTAB2, CFLAR, CARD11,NF-κB signaling.
ReLA, TRAF3
hsa-miR-155-5pCARD6, ERBB2IP, MAPK10Nod like receptor signaling
hsa-miR-155-5pS °CS1, KRAS, PAK2, RAP1B,MAPK signaling
RFLA, TAOK1, CACNB4, BDNF
hsa-miR-155-5pFOS, S °CS1, IKBKE, TRAF3,TLR signaling
MAPK10, TAB2
has-miR-155NFAT5, GSK3B, INPP5D, VAV3, PIK3CAB cell receptor signaling
hsa-miR-138-5pCSNK2A2, RELANF-κB signaling
hsa-miR-138-5pCXCL8, MAP2K7TLR signaling
hsa-miR-138-5pCLDN19, CD274, ITGALCell Adhesion Molecules.
hsa-miR-125b-5pMAPK14, JUN.AKT1, IRAK1, TRAF6, IRF5TLR signaling
hsa-miR-125bTNFAIP3, CSNK2A1, IRAK1NF-κB signaling
hsa-miR-223-3pSTAT1, RELATLR signaling
hsa-miR-223-3pTAB3, ERC1, PARP1, RELANF-κB signaling
hsa-miR-378dMAPK1MAPK signaling
hsa-miR-378dTRAF3NF-κB signaling
hsa-miR-200aTAB2, TNFAIP3NF-κB signaling