| Chapter title |
Signalling Networks Governing Metabolic Inflammation.
|
|---|---|
| Chapter number | 4 |
| Book title |
Metabolic Control
|
| Published in |
Handbook of experimental pharmacology, January 2015
|
| DOI | 10.1007/164_2015_4 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-929804-7, 978-3-31-929806-1
|
| Authors |
Nassim Dali-Youcef, Romeo Ricci |
| Editors |
Stephan Herzig |
| Abstract |
Low-grade inflammation is an established pathological condition that contributes to the development of obesity, insulin resistance and type 2 diabetes. Metabolic inflammation is dependent on multiple signalling events. In an overnutrition state, canonical inflammatory pathways are induced by inflammatory cytokines and lipid species. They can also be triggered through inflammasome activation as well as through cellular stress provoked by the unfolded protein response at the endoplasmic reticulum as well as by reactive oxygen species. In this chapter, we summarize the current knowledge about signalling events within the cell and describe how they impact on metabolic inflammation and whole-body metabolism. We particularly highlight the interplay between different signalling pathways that link low-grade inflammation responses to the inactivation of the insulin receptor pathway, ultimately leading to insulin resistance, a hallmark of type 2 diabetes. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 4 | 24% |
| Other | 3 | 18% |
| Student > Master | 3 | 18% |
| Student > Bachelor | 2 | 12% |
| Researcher | 2 | 12% |
| Other | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 2 | 12% |