Evidence map›Paper›PMID 23519963›Full record

ArticleInflammation2013

Ultrasound-targeted microbubble destruction enhances human β-defensin 3 activity against antibiotic-resistant Staphylococcus biofilms.

Chen Zhu, Nianan He, Tao Cheng, Honglue Tan, Yongyuan Guo, Desheng Chen, Mengqi Cheng, Zhi Yang, Xianlong Zhang

Abstract read
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In one paragraph

Article in Inflammation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Biofilm · 2025
    Article
  2. Harnessing Ultrasonic Technologies to TreatMolecules (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
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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

9 authors.

Chen ZhuDepartment of Orthopaedic Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 600 Yishan Road, Shanghai, 200233, China.
Nianan He
Tao Cheng
Honglue Tan
Yongyuan Guo
Desheng Chen
Mengqi Cheng
Zhi Yang
Xianlong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The infection of orthopedic implantation devices with Staphylococcus is a serious concern within the biomaterial community. Treatments are not always successful because of antibiotic-resistant bacteria and serious biofilm infections. Human β-defensin 3 (hBD-3) is considered to be the most promising class of defensin antimicrobial peptides and its effect on antibiotic-resistant Staphylococcus biofilms, combined with ultrasound (US)-targeted microbubble (MB) destruction (UTMD), has not been reported. In the study, we found that biofilm densities, the percentage of live cells and the viable counts of two tested Staphylococcus recovered from the biofilm were significantly decreased in the maximum concentration hBD-3 combined with UTMD compared with those of any other groups. Furthermore, results suggested that UTMD could also enhance 1MIC hBD-3 activity inhibiting the biofilm-associated genes expression of icaAD and the methicillin-resistance genes expression of MecA by simultaneously promoting the icaR expression. UTMD may have great potential for improving antibiotic activity against biofilm infections.

Indexed as

Anti-Bacterial AgentsBacterial Proteinsbeta-DefensinsBiofilmsDrug Resistance, Multiple, BacterialGene ExpressionHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMicrobubblesSoundStaphylococcus epidermidisAnti-Bacterial AgentsBacterial Proteinsbeta-DefensinsDEFB103A protein, human

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.