About: Precision multiparameter tracking of inflammation on timescales of hours to years using serial dried blood spots

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Precision multiparameter tracking of inflammation on timescales of hours to years using serial dried blood spots
Creator	Anderson, Leigh Bassini-Cameron, Adriana Pearson, Terry Pope, Matthew Razavi, Morteza Yip, Richard Cameron, L
Source	PMC
abstract	Aim: High-frequency longitudinal tracking of inflammation using dried blood microsamples provides a new window for personalized monitoring of infections, chronic inflammatory disease and clinical trials of anti-inflammatory drugs. Results/methodology: Using 1662 dried blood spot samples collected by 16 subjects over periods of weeks to years, we studied the behavior of 12 acute phase response and related proteins in inflammation events correlated with infection, vaccination, surgery, intense exercise and Crohn's disease. Proteins were measured using SISCAPA mass spectrometry and normalized to constant plasma volume using low-variance proteins, generating high precision within-person biomarker trajectories with well-characterized personal baselines. Discussion/conclusion: The results shed new light on the dynamic regulation of APR responses, offering a new approach to visualization of multidimensional inflammation trajectories.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.4155/bio-2019-0278
has license	cc-by
sha1sum (hex)	3ced6cdc097f5a0517dc8e6336060096d453199e
schema:url	https://doi.org/10.4155/bio-2019-0278
resource representing a document's title	Precision multiparameter tracking of inflammation on timescales of hours to years using serial dried blood spots
has PubMed Central identifier	PMC7372997
resource representing a document's body	covid:3ced6cdc097f5a0517dc8e6336060096d453199e#body_text
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