Evidence map›Paper›PMID 34209475›Full record

ArticlePolymers2021

Effect of the Combination of Levofloxacin with Cationic Carbosilane Dendron and Peptide in the Prevention and Treatment of

Jael Fernandez, Ángela Martin-Serrano, Natalia Gómez-Casanova, Annarita Falanga, Stefania Galdiero, Francisco Javier de la Mata, Irene Heredero-Bermejo, Paula Ortega

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. ACS omega · 2025
    Article
  3. Article
  4. Lentisk (Pharmaceutics · 2024
    Article
  5. An Overview of Supramolecular Platforms Boosting Drug Delivery.Bioinorganic chemistry and applications · 2023
    Review
  6. Review
  7. Review
  8. Inhibition ofPharmaceutics · 2022
    Article
  9. Review
  10. The Antibacterial Effect of PEGylated Carbosilane Dendrimers onInternational journal of molecular sciences · 2022
    Article
  11. 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

8 authors at 2 institutions in 2 countries.

Jael FernandezDepartment of Organic and Inorganic Chemistry, and Research Institute in Chemistry "Andrés M. del Río" (IQAR), Universidad de Alcala, 28805 Madrid, Spain.
Ángela Martin-SerranoDepartment of Organic and Inorganic Chemistry, and Research Institute in Chemistry "Andrés M. del Río" (IQAR), Universidad de Alcala, 28805 Madrid, Spain.ORCID 0000-0002-2908-8910
Natalia Gómez-CasanovaDepartment of Biomedicine and Biotechnology, University of Alcalá, 28805 Madrid, Spain.
Annarita FalangaDepartment of Agricultural Science, University of Naples Federico II, Via Università 100, 80055 Portici, Italy.ORCID 0000-0001-6538-8585
Stefania GaldieroDepartment of Pharmacy, University of Naples "Federico II", Via Domenico Montesano 49, 80134 Naples, Italy.ORCID 0000-0002-7849-7024
Francisco Javier de la MataDepartment of Organic and Inorganic Chemistry, and Research Institute in Chemistry "Andrés M. del Río" (IQAR), Universidad de Alcala, 28805 Madrid, Spain.ORCID 0000-0003-0418-3935
Irene Heredero-BermejoDepartment of Biomedicine and Biotechnology, University of Alcalá, 28805 Madrid, Spain.ORCID 0000-0001-6984-1965
Paula OrtegaDepartment of Organic and Inorganic Chemistry, and Research Institute in Chemistry "Andrés M. del Río" (IQAR), Universidad de Alcala, 28805 Madrid, Spain.ORCID 0000-0003-0377-5429
Universidad de Alcalá · ESUniversity of Naples Federico II · IT

Funding

Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina CIBER-BBNCombattere la resistenza tumorale:piattaforma integrata multidisciplinare per un approccio tecnologico innovativo alle oncoterapie- Campania Oncoterapie" Project N. B61G18000470007Comunidad de Madrid IMMUNOTHERCAN-CM B2017/BMD-3733 and NANODENDMED II-CM ref. B2017/BMD-3703Junta de Comunidades de Castilla-La Mancha SBPLY/17/180501/000358Ministerio de Economía, Industria y Competitividad, Gobierno de España CTQ2017-86224-P (Universidad de Alcalá CCG20/CCS-013
6 · The paper itself

Abstract

Antibiotic resistance and biofilm-related infections, persistent in conventional antimicrobial treatment, are continuously increasing and represent a major health problem worldwide. Therefore, the development of new effective treatments to prevent and treat biofilm-related infections represents a crucial challenge. Unfortunately, the extensive use of antibiotics has led to an increase of resistant bacteria with the subsequent loss of effectivity of commercial antibiotics, mainly due to antibiotic resistance and the ability of some bacteria to form microbial communities in biotic or abiotic surfaces (biofilms). In some cases, these biofilms are resistant to high concentrations of antibiotics that lead to treatment failure and recurrence of the associated infections. In the fight against microbial resistance, the combination of traditional antibiotics with new compounds (combination therapy) is an alternative that is becoming more extensive in the medical field. In this work, we studied the cooperative effects between levofloxacin, an approved antibiotic, and peptides or cationic dendritic molecules, compounds that are emerging as a feasible solution to overcome the problem of microbial resistance caused by pathogenic biofilms. We studied a new therapeutic approach that involves the use of levofloxacin in combination with a cationic carbosilane dendron, called MalG

Indexed as

biofilmdendronnanoconjugatepeptideStaphylococcus aureus

Identifiers

PMID34209475
PMCPMC8271537
OpenAlexW3173941199

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.