Clinical Study

Follicular Proinflammatory Cytokines and Chemokines as Markers of IVF Success

Table 4

Relative* mRNA abundance of measured proteins in cumulus and mural granulosa cells.

BiomarkersCGC ± SDMGC ± SD 𝑃 value (paired 𝑡 -test)

G-CSF 0 . 0 0 0 2 1 6 ± 0 . 0 0 0 1 5 1 0 . 0 0 0 2 0 7 ± 0 . 0 0 0 1 0 9 0.930
IL-1β 0 . 0 0 1 0 2 5 ± 0 . 0 0 0 6 4 0 0 . 0 7 0 1 9 9 ± 0 . 1 0 8 0 7 5 0.178
IL-6 0 . 0 0 0 0 8 2 ± 0 . 0 0 0 0 5 9 0 . 0 0 3 9 8 1 ± 0 . 0 0 6 4 1 2 0.209
IL-12A 0 . 0 0 0 1 0 4 ± 0 . 0 0 0 0 4 7 0 . 0 0 0 2 0 9 ± 0 . 0 0 0 0 8 3 0.022
IL-18 0 . 0 0 1 5 0 6 ± 0 . 0 0 0 9 5 8 0 . 0 0 7 4 7 2 ± 0 . 0 0 2 3 4 6 < 0.001
IL-23A 0 . 0 0 0 0 0 9 ± 0 . 0 0 0 0 0 4 0 . 0 0 0 0 2 5 ± 0 . 0 0 0 0 1 4 0.016
IFN-α 0 . 0 0 0 2 3 6 ± 0 . 0 0 0 1 8 6 0 . 0 0 0 0 4 4 ± 0 . 0 0 0 0 2 1 0.127
IFN-γ 0 . 0 0 0 0 6 4 ± 0 . 0 0 0 0 4 5 0 . 0 0 0 0 2 7 ± 0 . 0 0 0 0 2 1 0.157
TNF-α 0 . 0 0 0 1 3 3 ± 0 . 0 0 0 1 5 0 0 . 0 0 1 8 9 9 ± 0 . 0 0 2 3 6 3 0.117
IL-8 0 . 0 2 2 2 1 4 ± 0 . 0 0 9 5 9 0 0 . 4 8 7 6 5 0 ± 0 . 4 3 1 4 3 9 0.045
MCP-1 0 . 0 0 3 4 0 9 ± 0 . 0 0 4 5 2 1 0 . 0 0 8 6 1 8 ± 0 . 0 0 9 8 4 2 0.239
MIP-1α 0 . 0 0 0 0 1 5 ± 0 . 0 0 0 0 1 1 0 . 0 0 0 4 5 1 ± 0 . 0 0 0 7 1 8 0.191
MIP-1β 0 . 0 0 1 0 2 9 ± 0 . 0 0 0 8 6 4 0 . 0 5 5 0 7 3 ± 0 . 0 7 1 5 6 6 0.122
RANTES 0 . 0 0 0 6 5 0 ± 0 . 0 0 0 2 8 2 0 . 0 1 4 2 5 8 ± 0 . 0 2 1 1 6 9 0.293
sAPO-1/FAS 0 . 0 0 0 0 2 4 ± 0 . 0 0 0 0 1 4 0 . 0 0 0 0 2 4 ± 0 . 0 0 0 0 1 6 0.979
CD44(v6) 0 . 0 0 0 0 2 4 ± 0 . 0 0 0 0 0 6 0 . 0 0 0 0 4 5 ± 0 . 0 0 0 0 2 8 0.158

*As compared to the average of three housekeeping gene transcripts: beta actin, glyceraldehyde-3-phosphate dehydrogenase, and ribosomal protein RPL13A. Abbreviations: CGC: cumulus granulosa cells; MGC: mural granulosa cells; SD: standard deviation.