Evidence map›Paper›PMID 29531292›Full record

ArticleNature communications2018

Label-free analysis of physiological hyaluronan size distribution with a solid-state nanopore sensor.

Felipe Rivas, Osama K Zahid, Heidi L Reesink, Bridgette T Peal, Alan J Nixon, Paul L DeAngelis, Aleksander Skardal, Elaheh Rahbar, Adam R Hall

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
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  6. Glycan Sequencing, A Brief Primer.Glycoscience & therapy · 2026
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  9. Review
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  15. Review
  16. Design of synthetic peptide-based fluorescence probes for turn-on detection of hyaluronan.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Article
  17. Review
  18. Article
  19. Article
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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

9 authors at 3 institutions in 1 country.

Felipe RivasVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.
Osama K ZahidVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.
Heidi L ReesinkDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Bridgette T PealDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Alan J NixonDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Paul L DeAngelisDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma, OK, 73104, USA.
Aleksander SkardalVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.ORCID http://orcid.org/0000-0002-2138-2453
Elaheh RahbarVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA. erahbar@wakehealth.edu.
Adam R HallVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA. arhall@wakehealth.edu.
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · USCornell University · USUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyaluronan (or hyaluronic acid, HA) is a ubiquitous molecule that plays critical roles in numerous physiological functions in vivo, including tissue hydration, inflammation, and joint lubrication. Both the abundance and size distribution of HA in biological fluids are recognized as robust indicators of various pathologies and disease progressions. However, such analyses remain challenging because conventional methods are not sufficiently sensitive, have limited dynamic range, and/or are only semi-quantitative. Here we demonstrate label-free detection and molecular weight discrimination of HA with a solid-state nanopore sensor. We first employ synthetic HA polymers to validate the measurement approach and then use the platform to determine the size distribution of as little as 10 ng of HA extracted directly from synovial fluid in an equine model of osteoarthritis. Our results establish a quantitative method for assessment of a significant molecular biomarker that bridges a gap in the current state of the art.

Indexed as

AnimalsDisease Models, AnimalElectrochemical TechniquesElectrophoresisHorsesHumansHyaluronic AcidMolecular WeightNanoporesOsteoarthritisParticle SizeSynovial FluidHyaluronic Acid

Identifiers

PMID29531292
PMCPMC5847568
OpenAlexW2794127121

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.