Evidence map›Paper›PMID 25299941›Full record

ArticlePLoS computational biology2014

In vivo volume and hemoglobin dynamics of human red blood cells.

Roy Malka, Francisco Feijó Delgado, Scott R Manalis, John M Higgins

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  14. Article
  15. Biophysical and Biochemical Markers of Red Blood Cell Fragility.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2017
    Article
  16. Article
  17. Article
  18. Red blood cell population dynamics.Clinics in laboratory medicine · 2015
    Review
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

4 authors.

Roy MalkaCenter for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Francisco Feijó DelgadoKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Scott R ManalisKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
John M HigginsCenter for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States of America; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

Systems Biology of In Vivo Human Blood Cell PopulationsDP2DK098087 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI HIGGINS, JOHN MATTHEW · 2012 to 2012
$2.6M
NIDDK NIH HHS 1DP2DK098087NIDDK NIH HHS DP2 DK098087
6 · The paper itself

Abstract

Human red blood cells (RBCs) lose ∼30% of their volume and ∼20% of their hemoglobin (Hb) content during their ∼100-day lifespan in the bloodstream. These observations are well-documented, but the mechanisms for these volume and hemoglobin loss events are not clear. RBCs shed hemoglobin-containing vesicles during their life in the circulation, and this process is thought to dominate the changes in the RBC physical characteristics occurring during maturation. We combine theory with single-cell measurements to investigate the impact of vesiculation on the reduction in volume, Hb mass, and membrane. We show that vesicle shedding alone is sufficient to explain membrane losses but not volume or Hb losses. We use dry mass measurements of human RBCs to validate the models and to propose that additional unknown mechanisms control volume and Hb reduction and are responsible for ∼90% of the observed reduction. RBC population characteristics are used in the clinic to monitor and diagnose a wide range of conditions including malnutrition, inflammation, and cancer. Quantitative characterization of cellular maturation processes may help in the early detection of clinical conditions where maturation patterns are altered.

Indexed as

Computational BiologyCytoplasmic VesiclesErythrocytesErythrocyte VolumeHemoglobinsHumansHemoglobins

Identifiers

PMID25299941
PMCPMC4191880

What OpenQuestion holds

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Registered trials

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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.