Evidence map›Paper›PMID 41727366›Full record

ArticleACS measurement science au2026

Absolute Quantification and Spatial Mapping of Hyaluronic Acid in Histological Tissue Sections.

Cristina Quílez, Jorge González-Rico, María Luisa López-Donaire, Nuria Gago-López, Arrate Muñoz-Barrutia, Diego Velasco

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Cristina QuílezBioengineering Department, Universidad Carlos III de Madrid, 28911 Leganés, Spain.ORCID https://orcid.org/0000-0002-7707-8709
Jorge González-RicoContinuum Mechanics and Structural Analysis Department, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
María Luisa López-DonaireContinuum Mechanics and Structural Analysis Department, Universidad Carlos III de Madrid, 28911 Leganés, Spain.
Nuria Gago-LópezMelanoma group, Molecular Oncology Program, Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain.
Arrate Muñoz-BarrutiaNeuroscience and Biomedical Sciences Department, Universidad Carlos III de Madrid, 28903 Getafe, Spain.
Diego VelascoBioengineering Department, Universidad Carlos III de Madrid, 28911 Leganés, Spain.ORCID https://orcid.org/0000-0002-1531-1595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an accessible methodology for the absolute quantification and spatial mapping of hyaluronic acid (HA) in paraffin-embedded tissues. Although HA plays critical roles in tissue hydration, organization, and disease progression, its local concentration and spatial distribution remain poorly defined due to the lack of quantitative measurement tools. By integrating immunofluorescence, ELISA, and image analysis our approach enables the generation of pixel-level HA concentration maps. This strategy bridges the gap between qualitative imaging modalities and bulk biochemical assays, offering both spatial resolution and quantitative data. The method is validated across multiple tissues and is robust, scalable, and readily applicable to other extracellular matrix components, offering a practical tool for studying tissue microenvironments in health, disease, and biomaterial design.

Indexed as

fluorescenceHyaluronic acidparaffinquantificationtissue sections

Identifiers

PMID41727366
PMCPMC12921588

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.