Evidence map›Paper›PMID 39561800›Full record

ArticleBiology letters2024

Metabolic complementation between cells drives the evolution of tissues and organs.

Mihaela Pavlicev, J DiFrisco, Alan C Love, Günter P Wagner

Abstract read
In one paragraph

Article in Biology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Linking tissue morphology and tissue healing in a cell-fate model.Frontiers in cell and developmental biology · 2026
    Article
  2. A New Classification Framework to Understand Evolutionary Transitions in Individuality.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  3. 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.

Mihaela PavlicevDepartment of Evolutionary Biology, University of Vienna, Vienna, Austria.ORCID 0000-0001-8439-9351
J DiFriscoTheoretical Biology Lab, The Francis Crick Institute, London, UK.ORCID 0000-0001-9600-1013
Alan C LoveDepartment of Philosophy & Minnesota Center for Philosophy of Science, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0003-4422-7779
Günter P WagnerDepartment of Evolutionary Biology, University of Vienna, Vienna, Austria.ORCID 0000-0002-3097-002X

Funding

Austrian Science Foundation FWFCancer Research UKFrancis Crick InstituteHagler Institute for Advanced StudyJohn Templeton FoundationTexas A&M UniversityUK Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

Although evolutionary transitions of individuality have been extensively theorized, little attention has been paid to the origin of levels of organization within organisms. How and why do specialized cells become organized into specialized tissues or organs? What spurs a transition in organizational level in cases where the function is already present in constituent cell types? We propose a hypothesis for this kind of evolutionary transition based on two features of cellular metabolism: metabolic constraints on functional performance and the capacity for metabolic complementation between parenchymal and supporting cells. These features suggest a scenario whereby pre-existing specialized cell types are integrated into tissues when changes to the internal or external environment favour offloading metabolic burdens from a primary specialized cell type onto supporting cells. We illustrate this process of 'supra-functionalization' using the nervous system and pancreas.

Indexed as

Biological EvolutionPancreasAnimalsNervous Systemlevels of organizationmetabolic complementationmetabolic constraintself-maintenancetissue origin

Identifiers

PMID39561800
PMCPMC11583983

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.