Evidence map›Paper›PMID 39112554›Full record

ReviewNature reviews. Microbiology2025

Towards improved biofilm models.

Kendra P Rumbaugh, Marvin Whiteley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Bridging bench and bedside: translational omics ofEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Discovery ofmBio · 2026
    Article
  3. Article
  4. TheApplied and environmental microbiology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Evolutionary adaptations ofMicrobiology spectrum · 2026
    Article
  10. Article
  11. Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Review
  12. Antibiotic resistance dissemination in soil ecosystems: deep understanding for effective management and global health protection.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Review
  13. Biofilms: from the cradle of life to life support.NPJ biofilms and microbiomes · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Preparing a Dual-SpeciesMolecular pharmaceutics · 2025
    Article
  19. Review
  20. 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

2 authors.

Kendra P RumbaughDepartment of Surgery, Texas Tech University Health Sciences Center and Burn Center of Research Excellence, Lubbock, TX, USA. Kendra.rumbaugh@ttuhsc.edu.ORCID http://orcid.org/0000-0002-7459-7001
Marvin WhiteleySchool of Biological Sciences, Georgia Institute of Technology, Emory Children's Cystic Fibrosis Center, and Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-6590-4703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are complex microbial communities that have a critical function in many natural ecosystems, industrial settings as well as in recurrent and chronic infections. Biofilms are highly heterogeneous and dynamic assemblages that display complex responses to varying environmental factors, and those properties present substantial challenges for their study and control. In recent years, there has been a growing interest in developing improved biofilm models to offer more precise and comprehensive representations of these intricate systems. However, an objective assessment for ascertaining the ability of biofilms in model systems to recapitulate those in natural environments has been lacking. In this Perspective, we focus on medical biofilms to delve into the current state-of-the-art in biofilm modelling, emphasizing the advantages and limitations of different approaches and addressing the key challenges and opportunities for future research. We outline a framework for quantitatively assessing model accuracy. Ultimately, this Perspective aims to provide a comprehensive and critical overview of medically focused biofilm models, with the intent of inspiring future research aimed at enhancing the biological relevance of biofilm models.

Indexed as

BiofilmsModels, BiologicalBacterial Physiological PhenomenaHumans

Identifiers

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.