Evidence map›Paper›PMID 41407505›Full record

ArticleLife science alliance2026

Multi-omics analysis reveals metabolic diversity underlying endothelial cell functions.

Stephan Durot, Peter F Doubleday, Lydia Schulla, Amélie Sabine, Tatiana V Petrova, Nicola Zamboni

Abstract read
In one paragraph

Article in Life science alliance, 2026. 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. Review
  2. 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

6 authors.

Stephan DurotInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-2307-7070
Peter F DoubledayInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-1784-1282
Lydia SchullaInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0009-0009-3613-0863
Amélie SabineDepartment of Oncology, University of Lausanne and Ludwig Institute for Cancer Research, Epalinges, Switzerland.ORCID 0000-0002-7512-6703
Tatiana V PetrovaDepartment of Oncology, University of Lausanne and Ludwig Institute for Cancer Research, Epalinges, Switzerland.ORCID 0000-0002-0563-6521
Nicola ZamboniInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland zamboni@imsb.biol.ethz.ch.ORCID 0000-0003-1271-1021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endothelial cells (ECs) line the vascular system and are key players in vascular homeostasis, yet their metabolic diversity across tissues, vascular beds, and growth states remains poorly understood. This study examines metabolic differences between proliferating and quiescent ECs and compares blood and lymphatic endothelium using proteomics and metabolomics. Our findings indicate that metabolism in quiescent ECs is not dormant but reorganized in a cell-specific manner, with decreased heme intermediates in human umbilical vein ECs and increased branched-chain amino acid catabolism across all quiescent ECs. Consistent with the differences identified in the omics data, perturbation studies revealed that inhibiting enzymes involved in heme, glutamate, fatty acid, and nucleotide biosynthesis led to distinct phenotypic responses in blood and lymphatic ECs. These findings highlight the importance of metabolic pathways in sustaining both proliferating and quiescent ECs and reveal how ECs from different vascular beds rely on distinct metabolic processes to maintain their functional states.

Indexed as

Endothelial CellsMetabolomicsCell ProliferationHemeHumansHuman Umbilical Vein Endothelial CellsMetabolic Networks and PathwaysMultiomicsProteomicsHeme

Identifiers

PMID41407505
PMCPMC12712339

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.