Evidence map›Paper›PMID 40927839›Full record

ArticleBiology letters2025

Blood capillary geometry helps to explain the link between genome size and metabolic rates.

Ion Udroiu

Abstract read
In one paragraph

Article in Biology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ion UdroiuDepartment of Science, Roma Tre University, Rome, Italy.ORCID 0000-0001-8218-1711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decades, several authors have investigated the possibility that genome size is correlated with metabolic rates, obtaining conflicting results. The main biological explanation among the supporters of this correlation was related to the nucleotypic effect of the genome size, which, determining the cellular volume and hence the surface area-to-volume ratio, influences cellular metabolism. In the present study, I tested a different hypothesis: genome size, influencing red blood cell (RBC) volume, is correlated with capillary density and diameter. These, in turn, are (directly and inversely) correlated with mass-specific metabolic rates, and this can explain the link between genome size and metabolic rates. I have found that these correlations are significant in vertebrates with nucleated RBCs (non-mammals), but not in species with enucleated RBCs (i.e. mammals). Although further research is needed (in particular to understand how to test the correlation between genome size and metabolic rates in ectotherms), my results show that genome size and metabolic rates act on each other through a physical constraint. Through enucleation, mammals (but also some fish and salamanders) removed this constraint.

Indexed as

Basal MetabolismCapillariesErythrocytesGenome SizeVertebratesAnimalsHumansbloodcardiovascular systemerythrocytegenomemetabolismnucleotypic effectvertebrate

Identifiers

PMID40927839
PMCPMC12421435

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.