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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Notch Regulates Macrophage-Mediated Inflammation in Diabetic Wound Healing
|
|---|---|
| Published in |
Frontiers in immunology, June 2017
|
| DOI | 10.3389/fimmu.2017.00635 |
| Pubmed ID | |
| Authors |
Andrew S. Kimball, Amrita D. Joshi, Anna E. Boniakowski, Matthew Schaller, Jooho Chung, Ronald Allen, Jennifer Bermick, William F. Carson, Peter K. Henke, Ivan Maillard, Steve L. Kunkel, Katherine A. Gallagher |
| Abstract |
Macrophages are essential immune cells necessary for regulated inflammation during wound healing. Recent studies have identified that Notch plays a role in macrophage-mediated inflammation. Thus, we investigated the role of Notch signaling on wound macrophage phenotype and function during normal and diabetic wound healing. We found that Notch receptor and ligand expression are dynamic in wound macrophages during normal healing. Mice with a myeloid-specific Notch signaling defect (DNMAML(floxed)Lyz2(Cre+) ) demonstrated delayed early healing (days 1-3) and wound macrophages had decreased inflammatory gene expression. In our physiologic murine model of type 2 diabetes (T2D), Notch receptor expression was significantly increased in wound macrophages on day 6, following the initial inflammatory phase of wound healing, corresponding to increased inflammatory cytokine expression. This increase in Notch1 and Notch2 was also observed in human monocytes from patients with T2D. Further, in prediabetic mice with a genetic Notch signaling defect (DNMAML(floxed)Lyz2(Cre+) on a high-fat diet), improved wound healing was seen at late time points (days 6-7). These findings suggest that Notch is critical for the early inflammatory phase of wound healing and directs production of macrophage-dependent inflammatory mediators. These results identify that canonical Notch signaling is important in directing macrophage function in wound repair and define a translational target for the treatment of non-healing diabetic wounds. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 24% |
| Researcher | 13 | 17% |
| Student > Bachelor | 10 | 13% |
| Student > Master | 7 | 9% |
| Professor > Associate Professor | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 16 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 14% |
| Immunology and Microbiology | 11 | 14% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Agricultural and Biological Sciences | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 8% |
| Other | 11 | 14% |
| Unknown | 22 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 June 2017.
All research outputs
#16,051,091
of 25,382,440 outputs
Outputs from Frontiers in immunology
#16,717
of 31,531 outputs
Outputs of similar age
#188,238
of 330,503 outputs
Outputs of similar age from Frontiers in immunology
#253
of 385 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 385 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.