Evidence map›Paper›PMID 27136946›Full record

ArticleBlood2016

Human neutrophil kinetics: modeling of stable isotope labeling data supports short blood neutrophil half-lives.

Julio Lahoz-Beneytez, Marjet Elemans, Yan Zhang, Raya Ahmed, Arafa Salam, Michael Block, Christoph Niederalt, Becca Asquith, Derek Macallan

Abstract read
In one paragraph

Article in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers.

0numbers the graph read from it
0cells of the map it votes in
193citing 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

193 citing papers in PubMed.

  1. Trial
  2. Exercise intensity and training alter the innate immune cell type and chromosomal origins of circulating cell-free DNA in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Trial
  3. Trial
  4. Neutrophils in cancer.Nature reviews. Cancer · 2026
    Review
  5. CAR-engineered neutrophils derived from induced pluripotent stem cells: a new frontier in cellular immunotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Neutrophil death-more than meets the eye.Experimental hematology · 2025
    Review

133 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Julio Lahoz-BeneytezComputational Systems Biology, Bayer Technology Services GmbH, Leverkusen, Germany; Theoretical Immunology Group, Faculty of Medicine, Imperial College London, London, United Kingdom;
Marjet ElemansTheoretical Immunology Group, Faculty of Medicine, Imperial College London, London, United Kingdom;
Yan ZhangInstitute for Infection and Immunity, St George's, University of London, London, United Kingdom; and.
Raya AhmedInstitute for Infection and Immunity, St George's, University of London, London, United Kingdom; and.
Arafa SalamInstitute for Infection and Immunity, St George's, University of London, London, United Kingdom; and.
Michael BlockComputational Systems Biology, Bayer Technology Services GmbH, Leverkusen, Germany;
Christoph NiederaltComputational Systems Biology, Bayer Technology Services GmbH, Leverkusen, Germany;
Becca AsquithTheoretical Immunology Group, Faculty of Medicine, Imperial College London, London, United Kingdom;ORCID 0000-0002-5911-3160
Derek MacallanInstitute for Infection and Immunity, St George's, University of London, London, United Kingdom; and St George's University Hospitals NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-3014-7148

Funding

Medical Research Council G0601072Medical Research Council G1001052Medical Research Council MR/J007439/1Wellcome TrustWellcome Trust 103865
6 · The paper itself

Abstract

Human neutrophils have traditionally been thought to have a short half-life in blood; estimates vary from 4 to 18 hours. This dogma was recently challenged by stable isotope labeling studies with heavy water, which yielded estimates in excess of 3 days. To investigate this disparity, we generated new stable isotope labeling data in healthy adult subjects using both heavy water (n = 4) and deuterium-labeled glucose (n = 9), a compound with more rapid labeling kinetics. To interpret results, we developed a novel mechanistic model and applied it to previously published (n = 5) and newly generated data. We initially constrained the ratio of the blood neutrophil pool to the marrow precursor pool (ratio = 0.26; from published values). Analysis of heavy water data sets yielded turnover rates consistent with a short blood half-life, but parameters, particularly marrow transit time, were poorly defined. Analysis of glucose-labeling data yielded more precise estimates of half-life (0.79 ± 0.25 days; 19 hours) and marrow transit time (5.80 ± 0.42 days). Substitution of this marrow transit time in the heavy water analysis gave a better-defined blood half-life of 0.77 ± 0.14 days (18.5 hours), close to glucose-derived values. Allowing the ratio of blood neutrophils to mitotic neutrophil precursors (R) to vary yielded a best-fit value of 0.19. Reanalysis of the previously published model and data also revealed the origin of their long estimates for neutrophil half-life: an implicit assumption that R is very large, which is physiologically untenable. We conclude that stable isotope labeling in healthy humans is consistent with a blood neutrophil half-life of less than 1 day.

Indexed as

Models, BiologicalAdultDeuteriumFemaleGlucoseGranulocyte Precursor CellsHalf-LifeHumansIsotope LabelingKineticsMaleMiddle AgedNeutrophilsDeuteriumGlucose

Identifiers

PMID27136946
PMCPMC4929930

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.