Recent work conducted in our laboratory has been directed towards understanding the role of TNF alpha in stimulating the synthesis of two macrophage gene products, namely IGF-1, a growth factor implicated in wound repair and fibrosis, and complement component factor B (Bf), an alternative pathway complement component. The expression of these proteins is induced by hyaluronic acid and poly (I:C), respectively, although TNF alpha plays a requisite role in the expression of both proteins. The objective of this study was to determine the mechanism governing the dichotomy in the expression of IGF-1 and Bf by TNF alpha. First, we questioned if the diversity in IGF-1 and Bf synthesis was regulated at the level of TNF receptor usage. Second, based on earlier findings that IFNs contribute to the initiation of Bf expression, we determined if IFNs modulate the response of macrophages to TNF alpha. Our data show that differences in TNF receptor usage cannot fully explain the dichotomy in the expression of IGF-1 and Bf. However, prior exposure to IFN-beta or IFN-gamma was found to be a dominant factor controlling the expression of these proteins, suppressing IGF-1, and enhancing Bf. These findings indicate that IFNs mediate a functional "switch" in the response of macrophages to TNF alpha and suggest that the pattern of cytokine expression by diverse macrophage stimuli is an important determinant of the eventual responses of macrophages to TNF alpha.
F R Lake, P W Noble, P M Henson, D W Riches
Usage data is cumulative from April 2024 through April 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 224 | 9 |
58 | 29 | |
Figure | 0 | 1 |
Scanned page | 357 | 7 |
Citation downloads | 57 | 0 |
Totals | 696 | 46 |
Total Views | 742 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.