Evidence mapPaperPMID 41906540Full record

ArticleAdvanced healthcare materials2026

Dual-Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell-Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy.

Christian S Carnero Canales, Cesar Augusto Roque-Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos-Filho, Saulo Santesso Garrido, Karen Cristina Oliveira and 3 more

Abstract read
In one paragraph

Article in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Christian S Carnero CanalesTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.ORCID https://orcid.org/0000-0001-6694-7991
Cesar Augusto Roque-BordaTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.ORCID https://orcid.org/0000-0002-9262-0383
Ana Carolina Cerqueira NegriTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Oswaldo Ramirez DelgadoTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Letícia Oliveira Catarin NunesTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Flávia Aparecida ResendeDepartment of Biological and Health Sciences, University of Araraquara (UNIARA), Araraquara, São Paulo, Brazil.
Hernane BarudDepartment of Biological and Health Sciences, University of Araraquara (UNIARA), Araraquara, São Paulo, Brazil.
Norival Alves Santos-FilhoTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Saulo Santesso GarridoInstitute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil.
Karen Cristina OliveiraDepartment of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Alexandra Ivo de MedeirosDepartment of Biological Sciences, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Rafael Miguel SábioTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.
Fernando Rogério PavanTuberculosis Research Laboratory, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, Brazil.ORCID https://orcid.org/0000-0002-6969-3963

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 446479/2024-1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001FAPESP for scholarship support 2020/16573-3FAPESP for scholarship support 2021/14603-5FAPESP for scholarship support 2024/23710-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/01664-1Productivity Research Fellows 303603/2018-6
6 · The paper itself

Abstract

Tuberculosis remains a major infectious disease worldwide and demands new therapeutic approaches capable of targeting intracellular Mycobacterium tuberculosis. Using a machine learning (ML)-guided design strategy based on the plectasin scaffold, a peptide library was generated and DC05 was identified as the most active analog. As a free peptide, DC05 inhibited the H37Rv strain with an MIC

Indexed as

Antimicrobial PeptidesAntitubercular AgentsCell-Penetrating PeptidesNanoparticlesSilicon DioxideTuberculosisAnimalsCell LineDrug CarriersHumansMicrobial Sensitivity TestsMycobacterium tuberculosisPorosityAntimicrobial PeptidesAntitubercular AgentsCell-Penetrating PeptidesDrug CarriersSilicon Dioxideantimicrobial peptidescell‐penetrating peptidegalleria mellonellain silicomesoporous silica nanoparticlesmycobacterium tuberculosis

Identifiers

PMID41906540
PMCPMC13241472

What Socratic 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 Socratic graph.