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The NuGOwiki Metabolite Database is a joint initiative of NuGO and HMDB
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| IL1b | |
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| [[Image:{{{Image}}}|thumb|220px|2D structure for IL1b]] | |
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| Chemical Information | |
| Biochemical Taxonomy | |
| Functional Taxonomy | |
| Nutritional Taxonomy | |
| Metabolic Pathways | |
| Biofluid Location | |
| Tissue Location | |
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| Normal Tissue Concentrations | |
| Diseases / Conditions Related to Nutrition | |
| Other (Monogenic Disorders) | |
| Abnormal Biofluid Concentrations | |
| Abnormal Tissue Concentrations | |
| Physiological Processes | |
| Authors: | L. Pellis |
| Affiliations: | TNO, the Netherlands |
Contents |
Introduction
Human Interleukin-1 beta
Interleukin-1 beta is similar in action to IL-1 alpha with the exception of its association with breast cancer. Immunoreactive IL-1beta is detected in approximately 90% of invasive breast carcinomas. IL-1beta levels are significantly higher in invasive carcinomas than in benign lesions.
Rodent Interleukin-1 beta
IL-1 beta is similar in action to IL-1 alpha with the exception of its association with breast cancer. Immunoreactive IL-1beta is detected in approximately 90% of invasive breast carcinomas. IL-1beta levels are significantly higher in invasive carcinomas than in benign lesions. High IL-1beta content in invasive carcinomas was significantly associated with higher contents of hepatocyte growth factor (HGF), Von Willebrand factor (VWF), and TSP1, but not TNF alpha. There was a trend toward higher IL-1beta content in invasive carcinomas with a group of other parameters that suggest a biologically more aggressive tumor (estrogen receptor negativity, high tumor grade, p53 positivity, and bcl-2 negativity); and the proportion of invasive tumors with these characteristics was significantly increased in a subgroup of tumors having very high IL-1beta content.
Biological Function
Catabolism
Diseases / Conditions Related to Nutrition
Associated decreased protein/metabolite profile
Associated increased protein/metabolite profile
Other (Monogenic) Disorders
Nutritional Information
Drivers for biological variation