Evidence map›Paper›PMID 39555923›Full record

ArticlemBio2024

Hyaluronan in COVID-19: a matrix for understanding lung disease.

Rebecca J Dodd, Judith E Allen, Anthony J Day

Abstract readComment
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Rebecca J DoddWellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Academic Health Science Centre, Manchester, United Kingdom.ORCID 0000-0002-4733-138X
Judith E AllenWellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Academic Health Science Centre, Manchester, United Kingdom.
Anthony J DayWellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, University of Manchester, Academic Health Science Centre, Manchester, United Kingdom.ORCID 0000-0002-1415-3134

Funding

Role of Hyaluronan in IL-13-mediated COVID-19 PathologyR01HL171283 · NHLBI · UNIVERSITY OF VIRGINIA · PI William A Petri, Jie Sun · 2024 to 2026
$1.9M
HHS | National Institutes of Health (NIH) 1R01HL171283-01NHLBI NIH HHS R01 HL171283Wellcome Centre for Cell Matrix Research (203128/Z/16/ZWellcome TrustWellcome Trust (WT) 304200/Z/23/Z
6 · The paper itself

Abstract

The polysaccharide hyaluronan (HA) is an important component of lung extracellular matrix that increases following infection with influenza or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Hellman et al. (U. Hellman, E. Rosendal, J. Lehrstrand, J. Henriksson, et al., mBio 15:e01303-24, https://doi.org/10.1128/mbio.01303-24) show that fragmented HA accumulates in the lungs of coronavirus disease 2019 (COVID-19) patients, with systemic levels of HA being associated with reduced lung function 3-6 months after infection. This study provides novel insights into HA's role in COVID-19 pathology and its potential utility as a biomarker for disease severity. However, much remains to be understood about the lung HA matrix in COVID-19 and how it compares to other lung conditions. In particular, the role of HA-binding proteins in organizing HA into a crosslinked network is yet to be fully determined at a molecular level. This knowledge is crucial in understanding the inter-relationships between the structure of the HA matrix and the regulation of the immune response, and thus our ability to target HA therapeutically for improved outcomes in COVID-19.

Indexed as

COVID-19Hyaluronic AcidLungSARS-CoV-2BiomarkersExtracellular MatrixHumansLung DiseasesBiomarkersHyaluronic Acidextracellular matrixhyaluronanlung infection

Identifiers

PMID39555923
PMCPMC11633090

What OpenQuestion holds

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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 OpenQuestion graph.