Evidence map›Paper›PMID 31825961›Full record

ArticlePloS one2019

Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling.

John S Yi, Marilyn Rosa-Bray, Janet Staats, Pearl Zakroysky, Cliburn Chan, Melissa A Russo, Chelsae Dumbauld, Scott White, Todd Gierman, Kent J Weinhold and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Immunological biomarkers of aging.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Fungal Rhinosinusitis Caused by aPathogens (Basel, Switzerland) · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Could veterinarians be immune to contracting SARS-CoV-2?Central-European journal of immunology · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

John S YiDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.ORCID 0000-0001-7777-2437
Marilyn Rosa-BrayBiomat USA-Grifols Plasma Operations, United States of America.ORCID 0000-0002-2209-5990
Janet StaatsDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.
Pearl ZakroyskyDuke Clinical Research Institute, Durham, NC, United States of America.
Cliburn ChanDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America.
Melissa A RussoDepartment of Neurology, Duke University School of Medicine, Durham, NC, United States of America.
Chelsae DumbauldDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.
Scott WhiteDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.
Todd GiermanBiomat USA-Grifols Plasma Operations, United States of America.
Kent J WeinholdDepartment of Surgery, Duke University School of Medicine, Durham, NC, United States of America.
Jeffrey T GuptillDuke Clinical Research Institute, Durham, NC, United States of America.ORCID 0000-0002-0312-0716

Funding

Immunological biomarker studies in myasthenia gravisK23NS085049 · NINDS · DUKE UNIVERSITY · PI GUPTILL, JEFFREY T · 2014 to 2018
$924k
NINDS NIH HHS K23 NS085049
6 · The paper itself

Abstract

Existing normative flow cytometry data have several limitations including small sample sizes, incompletely described study populations, variable flow cytometry methodology, and limited depth for defining lymphocyte subpopulations. To overcome these issues, we defined high-dimensional flow cytometry reference ranges for the healthy human immune system using Human Immunology Project Consortium methodologies after carefully screening 127 subjects deemed healthy through clinical and laboratory testing. We enrolled subjects in the following age cohorts: 18-29 years, 30-39, 40-49, and 50-66 and enrolled cohorts to ensure an even gender distribution and at least 30% non-Caucasians. From peripheral blood mononuclear cells, flow cytometry reference ranges were defined for >50 immune subsets including T-cell (activation, maturation, T follicular helper and regulatory T cell), B-cell, and innate cells. We also developed a web tool for visualization of the dataset and download of raw data. This dataset provides the immunology community with a resource to compare and extract data from rigorously characterized healthy subjects across age groups, gender and race.

Indexed as

AdolescentAdultAgedAge FactorsCell SeparationFemaleFlow CytometryHealthy VolunteersHumansImmunity, CellularLeukocytes, MononuclearLymphocyte SubsetsMaleMiddle AgedRacial GroupsReference Values

Identifiers

PMID31825961
PMCPMC6905525

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.