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Stability of pro- and anti-inflammatory immune biomarkers for human cohort studies

Overview of attention for article published in Journal of Translational Medicine, March 2017
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Title
Stability of pro- and anti-inflammatory immune biomarkers for human cohort studies
Published in
Journal of Translational Medicine, March 2017
DOI 10.1186/s12967-017-1154-3
Pubmed ID
Authors

C. Graham, R. Chooniedass, W. P. Stefura, L. Lotoski, P. Lopez, A. D. Befus, A. B. Becker, K. T. HayGlass

Abstract

Although discovery research has identified the importance of dozens of pro- and anti-inflammatory immune mediators in the pathogenesis, maintenance, exacerbation and resolution of inflammatory diseases, most human cohort studies have incorporated few or no immunological intermediate phenotypes in their analyses. Significant hindrances have been (1) the limited panel of biomarkers known to be readily detected in healthy human populations and (2) the stability, hence utility, of such biomarkers to repeated analysis. The frequency and stability of 14 plasma biomarkers linked to in vivo immune regulation of allergic and autoimmune inflammatory disorders was determined in 140 healthy pediatric and adult participants. The impact of initial and multiple subsequent freeze/thaw cycles on pro-inflammatory (CCL2, CXCL10, IL-18, TNFα, IL-6), anti-inflammatory (IL-10, sTNF-RII, IL-1Ra), acute phase proteins (CRP, PTX3) and other biomarkers (sST2, IL-1RAcP) was subsequently quantified. Multiple biomarkers capable of providing an innate immune signature of inflammation were readily detected directly ex vivo in healthy individuals. These biomarker levels were unaffected when comparing paired data sets from freshly obtained, never frozen plasma or serum and matched aliquots despite extensive freeze/thaw cycles. Neither age nor sex affected stability. Similarly, no quantitative differences were found following repetitive analysis of inflammatory biomarkers in culture samples obtained following in vitro stimulation with TLR and RLR ligands. A broad panel of in vivo and ex vivo cytokine, chemokine and acute phase protein biomarkers that have been linked to human chronic inflammatory disorders are readily detected in vivo and remain stable for analysis despite multiple freeze thaw cycles. These data provide the foundation and confidence for large scale analyses of panels of inflammatory biomarkers to provide better understanding of immunological mechanisms underlying health versus disease.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Student > Doctoral Student 8 12%
Researcher 8 12%
Student > Master 7 10%
Student > Postgraduate 6 9%
Other 8 12%
Unknown 12 18%
Readers by discipline Count As %
Immunology and Microbiology 10 15%
Medicine and Dentistry 9 13%
Biochemistry, Genetics and Molecular Biology 9 13%
Agricultural and Biological Sciences 7 10%
Nursing and Health Professions 3 4%
Other 13 19%
Unknown 16 24%

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 02 March 2017.
All research outputs
#4,971,274
of 9,138,320 outputs
Outputs from Journal of Translational Medicine
#1,139
of 1,970 outputs
Outputs of similar age
#147,877
of 253,871 outputs
Outputs of similar age from Journal of Translational Medicine
#39
of 62 outputs
Altmetric has tracked 9,138,320 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,970 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 11th percentile – i.e., 11% 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 253,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.