Evidence map›Paper›PMID 38215004›Full record

ArticleAnalytical chemistry2024

Targeted Analysis of the Size Distribution of Heavy Chain-Modified Hyaluronan with Solid-State Nanopores.

Dorothea A Erxleben, Rebecca J Dodd, Anthony J Day, Dixy E Green, Paul L DeAngelis, Suruchi Poddar, Jan J Enghild, Janet L Huebner, Virginia B Kraus, Amanda R Watkins and 3 more

Open access · goldAbstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. The Road Toward Nanopore Sequencing of Glycosaminoglycans.Handbook of experimental pharmacology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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

13 authors at 6 institutions in 3 countries.

Dorothea A ErxlebenVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.
Rebecca J DoddWellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, United Kingdom.
Anthony J DayWellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, United Kingdom.
Dixy E GreenDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, United States.
Paul L DeAngelisDepartment of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, United States.
Suruchi PoddarVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.
Jan J EnghildDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus C 8000, Denmark.
Janet L HuebnerDuke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27710, United States.
Virginia B KrausDuke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27710, United States.
Amanda R WatkinsDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, United States.
Heidi L ReesinkDepartment of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, United States.
Elaheh RahbarVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.
Adam R HallVirginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States.ORCID 0000-0003-2053-6075
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · USCornell University · USDuke University · USManchester Academic Health Science Centre · GBUniversity of Oklahoma Health Sciences Center · USAarhus University · DK

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC, Susan Nicole Hastings · 2006 to 2026
$24.6M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ANDREW K. GODWIN, Steven Allan Soper · 2019 to 2026
$21.5M
Single-Molecule Processing: Detection and Identification of Single DNAs, RNAs, and Proteins using Immobilized Nanoscale Enzymatic Reactors (INERs) and Nanoscale ElectrophoresisP41EB020594 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Steven Allan Soper · 2015 to 2026
$15.2M
Solid-state nanopores for translational analysis of hyaluronan abundance and size distributionR01GM134226 · NIGMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Adam Roger Hall · 2020 to 2026
$2.3M
An Integrated Investigation of the Interaction Between PUFAs and Genetic Variants in Trauma and Critical CareK25HL133611 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAHBAR, ELAHEH · 2017 to 2021
$841k
NHLBI NIH HHS K25 HL133611NIA NIH HHS P30 AG028716NIBIB NIH HHS P41 EB020594NIGMS NIH HHS P20 GM130423NIGMS NIH HHS R01 GM134226Wellcome Trust
6 · The paper itself

Abstract

The glycosaminoglycan hyaluronan (HA) plays important roles in diverse physiological functions where the distribution of its molecular weight (MW) can influence its behavior and is known to change in response to disease conditions. During inflammation, HA undergoes a covalent modification in which heavy chain subunits of the inter-alpha-inhibitor family of proteins are transferred to its structure, forming heavy chain-HA (HC•HA) complexes. While limited assessments of HC•HA have been performed previously, determining the size distribution of its HA component remains a challenge. Here, we describe a selective method for extracting HC•HA from mixtures that yields material amenable to MW analysis with a solid-state nanopore sensor. After demonstrating the approach in vitro, we validate extraction of HC•HA from osteoarthritic human synovial fluid as a model complex biological matrix. Finally, we apply our technique to pathophysiology by measuring the size distributions of HC•HA and total HA in an equine model of synovitis.

Indexed as

Hyaluronic AcidNanoporesAlpha-GlobulinsAnimalsHorsesHumansInflammationSynovial FluidAlpha-GlobulinsHyaluronic Acid

Identifiers

PMID38215004
PMCPMC11037269
OpenAlexW4390823925

What OpenQuestion holds

Textmetadata
LicenceTDM
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.