Evidence map›Paper›PMID 42650805›Full record

ReviewBiomolecules2026

Current Techniques for Inorganic Polyphosphate Detection and Characterisation.

Johanna G Rodríguez, Thomas Renné

Abstract readReview
In one paragraph

Review in Biomolecules, 2026. 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

2 authors.

Johanna G RodríguezInstitute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, D-20246 Hamburg, Germany.
Thomas RennéInstitute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, D-20246 Hamburg, Germany.ORCID 0000-0003-4594-5975

Funding

European Union 101281504
6 · The paper itself

Abstract

Polyphosphate (polyP) is an evolutionarily conserved linear polymer of orthophosphate residues with diverse functions across organisms from bacteria to mammals. In addition to its roles in phosphate and energy storage, polyP has been implicated in thrombosis, inflammation, cancer, metabolism, cytoskeletal regulation, and neurodegenerative diseases. PolyP also acts as a molecular scaffold interacting with lysine-rich proteins and may contribute to protein folding and amyloid formation. However, biochemical heterogeneity, including variation in chain-length, subcellular localisation, and supramolecular organisation together with the absence of clearly defined mammalian biosynthetic pathways, has limited mechanistic understanding of polyP biology. Reliable detection and quantification remain challenging because current methods often suffer from limited specificity, chain length bias, insufficient quantitative robustness, and interference from other highly anionic biomolecules such as DNA or RNA. This review summarises current methodologies for polyP detection and characterisation. Emerging polyP-specific probes, including recombinant polyP-binding domains derived from polyphosphatases and conserved histidine α-helical domains may improve qualitative and quantitative analysis of polyP in complex biological systems. Improved analytical strategies will be essential to define the physiological roles of polyP and evaluate its potential as a biomarker and therapeutic target.

Indexed as

PolyphosphatesAnimalsFluorescent DyesHumansFluorescent DyesPolyphosphatesbiomarkerbiophysical techniqueschromogenic and fluorogenic assaysfluorescent dyespolyP detectionpolyphosphaterecombinant polyP-binding probes

Identifiers

PMID42650805
PMCPMC13511156

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.