Evidence map›Paper›PMID 33723531›Full record

ReviewMatter2021

Biomaterial-based immunoengineering to fight COVID-19 and infectious diseases.

Jana Zarubova, Xuexiang Zhang, Tyler Hoffman, Mohammad Mahdi Hasani-Sadrabadi, Song Li

Abstract readReview
In one paragraph

Review in Matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
  8. Recent advances in regenerative biomaterials.Regenerative biomaterials · 2022
    Review
  9. 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

5 authors.

Jana ZarubovaDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095, USA.
Xuexiang ZhangDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095, USA.
Tyler HoffmanDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095, USA.
Mohammad Mahdi Hasani-SadrabadiDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095, USA.
Song LiDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, CA 90095, USA.

Funding

Therapeutic microneedles for localized treatment of periodontal tissueR56DE029157 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, SONG · 2019 to 2019
$286k
NIDCR NIH HHS R56 DE029157
6 · The paper itself

Abstract

Infection by SARS-CoV-2 virus often induces the dysregulation of immune responses, tissue damage, and blood clotting. Engineered biomaterials from the nano- to the macroscale can provide targeted drug delivery, controlled drug release, local immunomodulation, enhanced immunity, and other desirable functions to coordinate appropriate immune responses and to repair tissues. Based on the understanding of COVID-19 disease progression and immune responses to SARS-CoV-2, we discuss possible immunotherapeutic strategies and highlight biomaterial approaches from the perspectives of preventive immunization, therapeutic immunomodulation, and tissue healing and regeneration. Successful development of biomaterial platforms for immunization and immunomodulation will not only benefit COVID-19 patients, but also have broad applications for a variety of infectious diseases.

Indexed as

drug deliveryimmunomodulationtissue regenerationvaccine

Identifiers

PMID33723531
PMCPMC7942141

What OpenQuestion holds

Textmetadata
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.