Evidence map›Paper›PMID 41212925›Full record

ArticlePLoS computational biology2025

A linear pathway for inositol pyrophosphate metabolism revealed by 18O labeling and model reduction.

Jacques Hermes, Geun-Don Kim, Guizhen Liu, Maria Giovanna De Leo, Andreas Mayer, Henning Jessen, Jens Timmer

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Untangling Inositol (Pyro)Phosphate Biology Through Emerging Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. 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

7 authors.

Jacques HermesInstitute of Physics, University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0003-3608-5969
Geun-Don KimDépartement d'immunobiologie, Université de Lausanne, Epalinges, Switzerland.ORCID https://orcid.org/0000-0002-3580-2471
Guizhen LiuCentre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany.
Maria Giovanna De LeoDépartement d'immunobiologie, Université de Lausanne, Epalinges, Switzerland.
Andreas MayerDépartement d'immunobiologie, Université de Lausanne, Epalinges, Switzerland.
Henning JessenCentre for Integrative Biological Signalling Studies (CIBSS), University of Freiburg, Freiburg, Germany.
Jens TimmerInstitute of Physics, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The homeostasis of intracellular inorganic phosphate is essential for eukaryotic metabolism and is regulated by the INPHORS signalling pathway, which employs inositol pyrophosphates (IPPs) as key intermediary messengers. This study investigates the metabolic pathways of inositol pyrophosphates (IPPs) in the yeast cell line PhoΔSPX and the human tumor cell line HCT116. Utilizing pulse-labelling experiments with 18O water and ordinary differential equation (ODE) models, we explore the synthesis and turnover of the highly phosphorylated IPP, 1,5-InsP8. Our findings challenge the notion that 1,5-InsP8 can be synthesized through distinct routes, revealing a linear reaction sequence in both systems. Employing model reduction via the profile likelihood method, we achieved statistically concise identifiability analysis that led to significant biological insights. In yeast, we determined that 1,5-InsP8 production primarily occurs through the phosphorylation of 5-InsP7, with the pathway involving 1-InsP7 deemed unnecessary as its removal did not compromise model accuracy. Crucially, this prediction of altered IPP concentrations was validated experimentally in vip1Δ and kcs1Δ knockout strains, providing orthogonal biological support for the reduced model. In HCT116 cells, 1,5-InsP8 synthesis is mainly driven by 1-InsP7, with variations observed across different experimental conditions. These results underscore the utility of model reduction in enhancing our understanding of metabolic pathways, coupling predictive modeling with experimental validation, and providing a framework for future investigations into the regulation and implications of linear IPP pathways in eukaryotic cells.

Indexed as

Inositol PhosphatesModels, BiologicalComputational BiologyHCT116 CellsHumansIsotope LabelingMetabolic Networks and PathwaysPhosphorylationSaccharomyces cerevisiaeSignal TransductionInositol Phosphates

Identifiers

PMID41212925
PMCPMC12626311

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.