ReviewAdvanced healthcare materials2026
Redefining Therapies for Drug-Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design.
Review 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 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Peptide-Enabled Nanoplatforms for Malaria and Leishmaniasis: From Intracellular Targeting to Translational Diagnostic Perspectives.ChemMedChem · 2026Review
- Comparative Biological and Functional Profiling of Single-Position Cysteine Substitutions in the HNP-1-Derived Peptide Pep-H AgainstAntibiotics (Basel, Switzerland) · 2026Article
- Dual-Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell-Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy.Advanced healthcare materials · 2026Article
- Antimycobacterial peptides as natural therapeutics for tuberculosis: mechanisms and structural features.Frontiers in antibiotics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a major global health concern, particularly due to the emergence of multidrug-resistant and extensively drug-resistant strains. The persistence and propagation of TB are favored by the pathogen's sophisticated virulence mechanisms, its ability to evade immune responses, and the formation of latent infections within granulomas. Current therapeutic regimens are limited by long treatment durations, drug resistance, and significant socioeconomic burdens. Antimicrobial peptides (AMPs) have emerged as promising alternatives because of their broad-spectrum activity and reduced likelihood of resistance development. Nevertheless, their clinical application is hindered by rapid proteolytic degradation, low specificity and limited bioavailability. Recent advances in nanotechnology have facilitated the encapsulation and targeted delivery of AMPs, improving their therapeutic potential against TB. Furthermore, the integration of computational approaches-such as molecular docking and molecular dynamics (MD) simulations-has enabled the rational design and optimization of AMPs, expediting the discovery of novel anti-TB agents. This review summarizes the pathogenesis and resistance mechanisms of Mtb, highlights the current landscape and limitations of AMP-based therapies, and discusses the role of nanotechnology and in silico tools in the development of new treatment strategies for TB.
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What OpenQuestion holds
Registered trials
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.