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Table 2 PCR array data showing the differential expression of cell death pathway genes in IFA aloned and MOG + IFA immunised animals injected with cytokine viral vectors compared to GFP vector injected control animals at 28 days post injection. Genes highlighted in bold and italics showed a greater than 2-fold significant increase

From: Persistent elevation of intrathecal pro-inflammatory cytokines leads to multiple sclerosis-like cortical demyelination and neurodegeneration

GeneFold change (compared to GFP control)
MOGIFA
Fold Change95% Clp-valueFold Change95% Clp-value
Aifm11.78(1.28, 2.28)0.0172.28(1.45, 3.10)0.033
Ar3.32(1.47, 5.18)0.0263.97(2.09, 5.85)0.008
Atp6v1g22.32(1.19, 3.45)0.0352.81(1.92, 3.71)0.002
Bax1.45(0.95, 1.96)0.0911.53(1.02, 2.04)0.054
Bid1.94(0.94, 2.95)0.1181.93(1.53, 2.33)0.002
Birc34.33(2.12, 6.54)0.0344.86(3.48, 6.23)3.48, 6.23)(1.47, 2.62)0.0001
Bmf2.23(0.87, 3.59)0.1152.05(1.47, 2.62)0.003
Capn22.00(1.31, 2.69)0.0532.29(1.52, 3.05)0.013
Capn32.80(1.53, 4.06)0.0422.20(1.42, 2.98)0.007
Capn51.97(1.66, 2.29)0.0011.97(1.53, 2.41)0.005
Capn71.80(1.04, 2.55)0.0682.07(1.57, 2.57)0.003
Capns12.53(1.44, 3.63)0.0372.81(1.69, 3.92)0.021
Cd404.78(2.30, 7.25)0.0473.91(2.59, 5.23)0.002
Cetn12.36(1.14, 3.59)0.0332.09(1.04, 3.14)0.049
Cyba5.43(2.06, 8.79)0.1074.05(3.39, 4.71)0.0001
Cybb17.03(3.33, 30.73)0.05911.17(5.71, 16.64)0.003
Cyld3.00(2.06, 3.93)0.0072.23(1.06, 3.39)0.070
Defb15.87(3.01, 8.73)0.0153.12(0.27, 5.97)0.192
Dpys141.79(1.32, 2.26)0.0142.08(1.37, 2.79)0.027
Fadd1.71(1.06, 2.35)0.0412.14(1.19, 3.09)0.066
Fas3.49(1.45, 5.54)0.1072.24(1.77, 2.71)0.001
Faslg1.61(0.88, 2.34)0.1672.10(1.38, 2.81)0.014
Foxi122.90(0.00001, 65.05)0.09123.61(0.00001, 72.42)0.323
Glud12.06(1.35, 2.78)0.0522.14(1.36, 2.93)0.021
Glul2.29(1.39, 3.18)0.0212.50(0.95, 4.06)0.088
Grb22.65(1.95, 3.34)0.0042.69(1.83, 3.55)0.007
Hspbap12.08(1.62, 2.55)0.0052.22(1.45, 2.98)0.022
Kcnip11.77(1.03, 2.51)0.0502.40(1.43, 3.36)0.019
Madd1.63(1.03, 2.22)0.0462.27(1.45, 3.10)0.022
Myd882.91(1.56, 4.27)0.0882.52(1.99, 3.04)0.001
Nfkb12.34(1.69, 3.00)0.0042.24(1.53, 2.95)0.007
Ngf2.04(1.36, 2.27)0.0082.37(1.39, 3.35)0.012
Ngfr3.32(1.68, 4.96)0.0242.59(1.28, 3.90)0.031
Nox13.44(1.77, 5.11)0.0084.23(2.53, 5.94)0.001
Parp11.85(1.06, 2.64)0.0781.98(1.48, 2.48)0.004
Parp21.25(0.90, 1.60)0.2001.36(1.15, 1.57)0.008
Ppid2.09(1.38, 2.80)0.0362.23(1.59, 2.87)0.005
Pygl4.06(1.84, 6.28)0.0483.31(1.83, 4.79)0.010
Rab252.55(1.27, 3.83)0.0272.42(1.45, 3.38)0.005
Dennd4a1.96(1.25, 2.67)0.0412.13(1.57, 2.70)0.003
Ripk11.80(1.29, 2.31)0.0221.94(1.26, 2.62)0.027
Ripk21.64(1.17, 2.10)0.0561.88(1.43, 2.34)0.010
Ripk34.16(1.83, 6.48)0.0492.71(2.00, 3.42)0.0001
Sp11.92(1.31, 2.53)0.0362.03(1.46, 2.61)0.012
Spata22.36(1.89, 2.82)0.00012.66(1.44, 3.88)0.038
Tmem1232.85(1.60, 4.11)0.0652.36(1.98, 2.75)0.000
Tmem572.63(1.12, 4.14)0.0552.04(1.11, 2.97)0.018
Tnf4.81(1.92, 7.71)0.0493.38(1.69, 5.06)0.039
Tnfrsf10b2.19(1.09, 3.29)0.0372.23(1.32, 3.14)0.003
Tnfrsf1451.83(0.00001, 120.6)0.02834.17(0.00001, 79.86)0.030
Tnfrsf172.10(1.74, 2.47)0.0012.15(1.58, 2.73)0.013
Tnfrsf1a2.62(1.80, 3.44)0.0182.21(1.55, 2.86)0.009
Tnfrsf1b6.02(3.58, 8.46)0.0144.12(3.36, 4.89)0.0001
Tnfrsf251.91(1.01, 2.80)0.0232.26(0.78, 3.74)0.130
Tnfrsf84.24(2.84, 5.63)0.0034.14(3.14, 5.15)0.0001
Tnfrsf102.63(1.57, 3.70)0.0292.59(1.82, 3.37)0.001
Tradd2.11(1.71, 2.52)0.0022.10(1.46, 2.74)0.014
Traf22.30(1.60, 2.99)0.0202.38(1.64, 3.11)0.009
Txnl4b2.91(1.49, 4.32)0.1142.23(1.62, 2.84)0.005