| Title |
Imbalances between Matrix Metalloproteinases (MMPs) and Tissue Inhibitor of Metalloproteinases (TIMPs) in Maternal Serum during Preterm Labor
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049042 |
| Pubmed ID | |
| Authors |
Inge Tency, Hans Verstraelen, Ivo Kroes, Gabriële Holtappels, Bruno Verhasselt, Mario Vaneechoutte, Rita Verhelst, Marleen Temmerman |
| Abstract |
Matrix metalloproteinases (MMPs) are involved in remodeling of the extracellular matrix (ECM) during pregnancy and parturition. Aberrant ECM degradation by MMPs or an imbalance between MMPs and their tissue inhibitors (TIMPs) have been implicated in the pathogenesis of preterm labor, however few studies have investigated MMPs or TIMPs in maternal serum. Therefore, the purpose of this study was to determine serum concentrations of MMP-3, MMP-9 and all four TIMPs as well as MMP:TIMP ratios during term and preterm labor. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 7 | 12% |
| Researcher | 7 | 12% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 31% |
| Agricultural and Biological Sciences | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Immunology and Microbiology | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 15 | 26% |