Evidence map›Paper›PMID 36031384›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Biofilms: Formation, Research Models, Potential Targets, and Methods for Prevention and Treatment.

Yajuan Su, Jaime T Yrastorza, Mitchell Matis, Jenna Cusick, Siwei Zhao, Guangshun Wang, Jingwei Xie

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Review
  12. The role of uropathogenicCurrent urology · 2026
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

7 authors.

Yajuan SuDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Jaime T YrastorzaDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Mitchell MatisDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Jenna CusickDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Siwei ZhaoDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Guangshun WangDepartment of Pathology and Microbiology, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
Jingwei XieDepartment of Surgery-Transplant and Mary & Dick Holland Regenerative Medicine Program, College of Medicine, University of Nebraska Medical Center, Omaha, NE, 68198, USA.ORCID 0000-0002-8126-1397

Funding

Nebraska Center for Nanomedicine- Pilot ProjectsP30GM127200 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI OUPICKY, DAVID · 2018 to 2022
$5.7M
Nanofiber-based Delivery of Combined Immune-modulating Compounds to Minimize Infection and Enhance Wound HealingR01GM123081 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI XIE, JINGWEI · 2017 to 2024
$2.8M
Novel Janus-type Antimicrobial Dressings for the Treatment of Biofilms in Chronic WoundsR01GM138552 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WANG, GUANGSHUN, XIE, JINGWEI · 2020 to 2023
$2.2M
A Novel High-Intensity Iontophoresis-Based Antibiotic Delivery Device for Efficacious Eradication of Chronic Wound BiofilmsR21AR080906 · NIAMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI XIE, JINGWEI, ZHAO, SIWEI · 2022 to 2023
$367k
National Institute of General Medical ScienceNIAMS NIH HHS R21 AR080906NIAMS NIH HHS R21AR080906NIGMS NIH HHS P30 GM127200NIGMS NIH HHS R01 GM123081NIGMS NIH HHS R01 GM138552University of Nebraska Medical Center
6 · The paper itself

Abstract

Due to the continuous rise in biofilm-related infections, biofilms seriously threaten human health. The formation of biofilms makes conventional antibiotics ineffective and dampens immune clearance. Therefore, it is important to understand the mechanisms of biofilm formation and develop novel strategies to treat biofilms more effectively. This review article begins with an introduction to biofilm formation in various clinical scenarios and their corresponding therapy. Established biofilm models used in research are then summarized. The potential targets which may assist in the development of new strategies for combating biofilms are further discussed. The novel technologies developed recently for the prevention and treatment of biofilms including antimicrobial surface coatings, physical removal of biofilms, development of new antimicrobial molecules, and delivery of antimicrobial agents are subsequently presented. Finally, directions for future studies are pointed out.

Indexed as

Anti-Infective AgentsBiofilmsAnti-Bacterial AgentsHumansAnti-Bacterial AgentsAnti-Infective Agentsbiofilmsformationmanagementmodelstargets

Identifiers

PMID36031384
PMCPMC9561771

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.