Normative dataset for plasma cytokines in healthy human adults.

Thumbnail Image
View / Download501.06 KB

Date

2021-04

Authors

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

71
views
105
downloads

Citation Stats

Abstract

We determined normative data for plasma cytokines established from a cohort of 126 carefully screened healthy adults aged 18 to 64 years. Participants were enrolled to ensure an even age and sex distribution and to include at least 30% non-Caucasians. Plasma cytokines for 18 analytes were tested by multiplex immunoassay. The data are presented by age cohort (18-29 years, 30-39, 40-49, and 50-66), as well as by sex and racial background. This dataset complements published normative ranges of cellular subsets generated by comprehensive polychromatic flow cytometry analysis of the healthy human immune system [1]. These data are available to researchers and have value as a reference range for research involving peripheral cytokines.

Type

Journal article

Department

Description

Provenance

Subjects

Cytokines, Healthy volunteer, Normative range, Reference range, Reference value

Citation

Permalink

https://hdl.handle.net/10161/22466

Published Version (Please cite this version)

10.1016/j.dib.2021.106857

Publication Info

Li, Yingkai, John S Yi, Melissa A Russo, Marilyn Rosa-Bray, Kent J Weinhold and Jeffrey T Guptill (2021). Normative dataset for plasma cytokines in healthy human adults. Data in brief, 35. p. 106857. 10.1016/j.dib.2021.106857 Retrieved from https://hdl.handle.net/10161/22466.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Collections

Scholarly Articles
Full item page

Scholars@Duke

Yi

John S Yi

Adjunct Assistant Professor in the Department of Surgery

I am an immunologist, with a focus to characterize the immune system in response to infectious and non-infectious diseases including cancer, HIV, autoimmune disease, and transplantation. My goals are to identify novel biomarkers/immune signatures that clinicians can utilize to diagnosis, predict disease outcomes, and determine patients' response to treatment. 

Guptill

Jeffrey Guptill

Adjunct Associate Professor in the Department of Neurology

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.