Evidence map›Paper›PMID 39866940›Full record

ArticleEJHaem2025

What is the origin of the normal ranges of blood cell counts? An evolutionary perspective.

Manon Zala, Vincent Alcazer, Laetitia Largeaud, Pierre Sujobert

Abstract read
In one paragraph

Article in EJHaem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Manon ZalaCentre International de Recherche en Infectiologie (CIRI, INSERM U1111, CNRS UMR 5308, École Normale supérieure de Lyon) Lymphoma ImmunoBiology team Faculté de Médecine Lyon sud Université Claude Bernard Lyon 1 Lyon France.
Vincent AlcazerCentre International de Recherche en Infectiologie (CIRI, INSERM U1111, CNRS UMR 5308, École Normale supérieure de Lyon) Lymphoma ImmunoBiology team Faculté de Médecine Lyon sud Université Claude Bernard Lyon 1 Lyon France.
Laetitia LargeaudCentre International de Recherche en Infectiologie (CIRI, INSERM U1111, CNRS UMR 5308, École Normale supérieure de Lyon) Lymphoma ImmunoBiology team Faculté de Médecine Lyon sud Université Claude Bernard Lyon 1 Lyon France.
Pierre SujobertCentre International de Recherche en Infectiologie (CIRI, INSERM U1111, CNRS UMR 5308, École Normale supérieure de Lyon) Lymphoma ImmunoBiology team Faculté de Médecine Lyon sud Université Claude Bernard Lyon 1 Lyon France.ORCID https://orcid.org/0000-0002-9108-1162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The normal values of the complete blood count are part of the foundational medical knowledge that is seldom questioned due to their well-established nature. These normal values are critical for optimal physiological function while minimizing the harmful consequences of an excessive number of blood cells. Thus, they represent an evolutionary trade-off likely shaped by natural selection if they significantly influence individual fitness and exhibit heritability. Methods: On the basis of the analysis of normal blood count values of 94 mammalian species, we discovered that certain parameters are strongly associated with diet, habitat, and lifespan. Results: Carnivorous mammals had higher hemoglobin levels than vegetarians, and aquatic mammals displayed red blood cell parameters probably selected to enhance for the diving capacities. Body weight influenced platelet counts and innate immune cells, with lighter animals having higher platelet counts and larger animals showing elevated monocytes and neutrophils. Conclusions: By treating the history of life as an experiment, we have discerned some evolutionary constraints likely contributing to the selection for optimal trade-offs in blood cell count.

Indexed as

blood cell countevolutionary constraint

Identifiers

PMID39866940
PMCPMC11756989

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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.