Evidence map›Paper›PMID 34575580›Full record

ArticlePharmaceutics2021

A Recombinant Fusion Construct between Human Serum Albumin and NTPDase CD39 Allows Anti-Inflammatory and Anti-Thrombotic Coating of Medical Devices.

Meike-Kristin Abraham, Elena Jost, Jan David Hohmann, Amy Kate Searle, Viktoria Bongcaron, Yuyang Song, Hans Peter Wendel, Karlheinz Peter, Stefanie Krajewski, Xiaowei Wang

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. 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
1.7field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Albumin as a Biomaterial and Therapeutic Agent in Regenerative Medicine.International journal of molecular sciences · 2022
    Review
  5. 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 2 institutions in 2 countries.

Meike-Kristin AbrahamClinical Research Laboratory, Department of Thoracic, Cardiac and Vascular Surgery, University Hospital Tübingen, 72076 Tübingen, Germany.
Elena JostClinical Research Laboratory, Department of Thoracic, Cardiac and Vascular Surgery, University Hospital Tübingen, 72076 Tübingen, Germany.
Jan David HohmannAtherothrombosis and Vascular Biology, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.
Amy Kate SearleAtherothrombosis and Vascular Biology, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.
Viktoria BongcaronAtherothrombosis and Vascular Biology, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.
Yuyang SongMolecular Imaging and Theranostics Laboratory, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.ORCID 0000-0002-0973-2078
Hans Peter WendelClinical Research Laboratory, Department of Thoracic, Cardiac and Vascular Surgery, University Hospital Tübingen, 72076 Tübingen, Germany.
Karlheinz PeterAtherothrombosis and Vascular Biology, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.
Stefanie KrajewskiClinical Research Laboratory, Department of Thoracic, Cardiac and Vascular Surgery, University Hospital Tübingen, 72076 Tübingen, Germany.
Xiaowei WangMolecular Imaging and Theranostics Laboratory, Baker Heart & Diabetes Institute, Melbourne, VIC 3004, Australia.ORCID 0000-0001-8658-7399
Baker Heart and Diabetes Institute · AUUniversity Children's Hospital Tübingen · DE

Funding

Deutsche Forschungsgemeinschaft MKA ScholarshipMargarete von Wrangell-Habilitationsstipendium des Ministeriums für Wissenschaft, Forschung SK FellowshipNational Health and Medical Research Council KP Investigator FellowshipNational Health and Medical Research Council Project GrantNational Heart Foundation of Australia AKS ScholarshipNational Heart Foundation of Australia Future Leader Fellowship with the Paul Korner Innovation AwardPromotionskolleg des interdisziplinären Zentrums für Klinische Forschung EJ Scholarship
6 · The paper itself

Abstract

Medical devices directly exposed to blood are commonly used to treat cardiovascular diseases. However, these devices are associated with inflammatory reactions leading to delayed healing, rejection of foreign material or device-associated thrombus formation. We developed a novel recombinant fusion protein as a new biocompatible coating strategy for medical devices with direct blood contact. We genetically fused human serum albumin (HSA) with ectonucleoside triphosphate diphosphohydrolase-1 (CD39), a promising anti-thrombotic and anti-inflammatory drug candidate. The HSA-CD39 fusion protein is highly functional in degrading ATP and ADP, major pro-inflammatory reagents and platelet agonists. Their enzymatic properties result in the generation of AMP, which is further degraded by CD73 to adenosine, an anti-inflammatory and anti-platelet reagent. HSA-CD39 is functional after lyophilisation, coating and storage of coated materials for up to 8 weeks. HSA-CD39 coating shows promising and stable functionality even after sterilisation and does not hinder endothelialisation of primary human endothelial cells. It shows a high level of haemocompatibility and diminished blood cell adhesion when coated on nitinol stents or polyvinylchloride tubes. In conclusion, we developed a new recombinant fusion protein combining HSA and CD39, and demonstrated that it has potential to reduce thrombotic and inflammatory complications often associated with medical devices directly exposed to blood.

Indexed as

albuminanti-thromboticCD39coating of medical devicesstent coatingtherapeutic fusion protein

Identifiers

PMID34575580
PMCPMC8466136
OpenAlexW3199374205

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.