Evidence map›Paper›PMID 33846452›Full record

ArticleScientific reports2021

Abundance and size of hyaluronan in naked mole-rat tissues and plasma.

Delphine Del Marmol, Susanne Holtze, Nadia Kichler, Arne Sahm, Benoit Bihin, Virginie Bourguignon, Sophie Dogné, Karol Szafranski, Thomas Bernd Hildebrandt, Bruno Flamion

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Hyaluronan in cardiac disease: implications for the extracellular matrix beyond collagen.American journal of physiology. Heart and circulatory physiology · 2026
    Review
  3. Article
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  11. Age related changes in hyaluronan expression leads to Meibomian gland dysfunction.Matrix biology : journal of the International Society for Matrix Biology · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Alternative Animal Models of Aging Research.Frontiers in molecular biosciences · 2021
    Review
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

10 authors at 3 institutions in 2 countries.

Delphine Del MarmolMolecular Physiology Research Unit (URPhyM), NARILIS, University of Namur, Namur, Belgium. delphine.delmarmol@unamur.be.
Susanne HoltzeDepartment of Reproduction Management, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.
Nadia KichlerDepartment of Reproduction Management, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.
Arne SahmComputational Biology Group, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.
Benoit BihinUnit of Methodology and Didactic in Biology (UMDB), NARILIS, University of Namur, Namur, Belgium.
Virginie BourguignonMolecular Physiology Research Unit (URPhyM), NARILIS, University of Namur, Namur, Belgium.
Sophie DognéMolecular Physiology Research Unit (URPhyM), NARILIS, University of Namur, Namur, Belgium.
Karol SzafranskiCore Facility Life Science Computing, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany.
Thomas Bernd HildebrandtDepartment of Reproduction Management, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.
Bruno FlamionMolecular Physiology Research Unit (URPhyM), NARILIS, University of Namur, Namur, Belgium.
University of Namur · BELeibniz Institute for Zoo and Wildlife Research · DELeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large amounts of ultra-high molecular weight hyaluronan (HA) have been described as the main cause of cancer resistance in naked mole-rats (Heterocephalus glaber, NMR). Our work examined HA metabolism in these rodents more closely. HA was localized and quantified using HA binding proteins. Its molecular weight was determined using size exclusion chromatography and gel electrophoresis, HA family gene expression using RNAseq analysis, and hyaluronidase activity using zymography. Guinea pigs (Cavia porcellus) and mice (Mus musculus) were used as controls for some experiments. We found that HA localization was similar in NMR, guinea pig, and mouse tissues but NMR had larger amounts and higher molecular weight (maximum, around 2.5 MDa) of HA in serum and almost all tissues tested. We could not find ultra-high molecular weight HA (≥ 4 MDa) in NMR samples, in contrast to previous descriptions. Hyaluronidase-1 had lower expression and activity in NMR than mouse lymph nodes. RNAseq results showed that, among HA family genes, Tnfaip6 and hyaluronidase-3 (Hyal3) were systematically overexpressed in NMR tissues. In conclusion, NMR samples, contrary to expectations, do not harbor ultra-high molecular weight HA, although its amount and average molecular weight are higher in NMR than in guinea pig tissues and serum. Although hyaluronidase expression and activity are lower in NMR than mouse lymph nodes, this not sufficient to explain the presence of high molecular weight HA. A different activity of the NMR HA synthases remains possible. These characteristics, together with extremely high Hyal3 and Tnfaip6 expression, may provide the NMR with a bespoke, and perhaps protective, HA metabolism.

Indexed as

Organ SpecificityAnimalsCells, CulturedFemaleFibroblastsGene Expression RegulationHyaluronan ReceptorsHyaluronic AcidHyaluronoglucosaminidaseLymph NodesMagnetic Resonance SpectroscopyMaleMolecular WeightMole RatsHyal1 protein, mouseHyaluronan ReceptorsHyaluronic AcidHyaluronoglucosaminidase

Identifiers

PMID33846452
PMCPMC8041917
OpenAlexW3153492505

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.