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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Circulating Muramyl Dipeptide Is Negatively Associated with Interleukin-10 in the Frail Elderly
|
|---|---|
| Published in |
Inflammation, October 2014
|
| DOI | 10.1007/s10753-014-0030-z |
| Pubmed ID | |
| Authors |
Chris P. Verschoor, Avee Naidoo, Jessica G. Wallace, Jennie Johnstone, Mark Loeb, Jonathan L. Bramson, Dawn ME Bowdish |
| Abstract |
Elevated levels of serum cytokines, a marker of immune activation and chronic inflammation, are commonly associated with age and are a significant risk factor for all-cause mortality in the elderly. This phenomenon is very similar to that exhibited by individuals with diseases of inflammatory etiology and chronic viral infections such as human immunodeficiency virus (HIV). Although the origin of chronically elevated cytokines with age is unknown, for chronic diseases and viral infections, a role for circulating bacterial products and other pattern recognition receptor (PRR) ligands has been suggested. Given this, we sought to examine whether the levels of circulating cytokines (tumour necrosis factor (TNF), interferon-gamma (IFN-γ), interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-12) in the advanced-age, frail elderly (n = 135) correlated with plasma levels of lipopolysaccharide (LPS), muramyl dipeptide (MDP), 16S ribosomal DNA, total cell-free DNA and host-derived mitochondrial DNA. After adjusting for multiple testing, no associations between circulating products and donor age, sex or comorbidities were observed. However, a significant negative correlation between MDP and IL-10 was identified. Given the anti-inflammatory nature of IL-10, a negative relationship with a potent inflammatory agonist such as MDP is not surprising and suggests a potential role for circulating MDP in the propagation of age-related immune activation. |
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 Kingdom | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Doctoral Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Agricultural and Biological Sciences | 6 | 17% |
| Immunology and Microbiology | 3 | 8% |
| Nursing and Health Professions | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from Inflammation
#708
of 1,046 outputs
Outputs of similar age
#212,240
of 253,927 outputs
Outputs of similar age from Inflammation
#19
of 23 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,046 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 253,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.