ReviewPharmaceutics2023
Metal-Organic Framework-Based Nanomedicines for the Treatment of Intracellular Bacterial Infections.
Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 30 citations in OpenAlex.
- Antibiotic-Free Strategies for Managing Antimicrobial-Resistant Infections.Pharmaceutics · 2026Review
- Synergistic strategies to rescue the last-resort antibiotic colistin.Archives of microbiology · 2026Review
- Engineered Human Ferritin Nanocage Enhances Intracellular Vancomycin Delivery and Activity Against Gram-Positive Bacteria in Macrophages.International journal of nanomedicine · 2026Article
- Nanomedicine against antimicrobial resistance: mechanistic insights and next-generation therapeutic potential.Frontiers in chemistry · 2026Review
- Pseudomonas spp. and antimicrobial resistance: unlocking new horizons with 1-hydroxyphenazine.Folia microbiologica · 2025Review
- Staphylococcal Drug Resistance: Mechanisms, Therapies, and Nanoparticle Interventions.Infection and drug resistance · 2025Review
- MOF-Enhanced Phototherapeutic Wound Dressings Against Drug-Resistant Bacteria.Advanced healthcare materials · 2025Article
- Synergistic antioxidant and antibacterial effects of a Zn-ascorbate metal-organic framework loaded with marjoram essential oil.Nanoscale advances · 2024Article
- Metal-Organic Frameworks for Cisplatin Delivery to Cancer Cells: A Molecular Dynamics Simulation.ACS omega · 2024Article
- Advances in Nanomaterials and Composites Based on Mesoporous Materials as Antimicrobial Agents: Relevant Applications in Human Health.Antibiotics (Basel, Switzerland) · 2024Review
- Photothermal/Photoacoustic Therapy Combined with Metal-Based Nanomaterials for the Treatment of Microbial Infections.Microorganisms · 2023Review
- An Overview of Stimuli-Responsive Intelligent Antibacterial Nanomaterials.Pharmaceutics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Metal-organic frameworks (MOFs) are a highly versatile class of ordered porous materials, which hold great promise for different biomedical applications, including antibacterial therapy. In light of the antibacterial effects, these nanomaterials can be attractive for several reasons. First, MOFs exhibit a high loading capacity for numerous antibacterial drugs, including antibiotics, photosensitizers, and/or photothermal molecules. The inherent micro- or meso-porosity of MOF structures enables their use as nanocarriers for simultaneous encapsulation of multiple drugs resulting in a combined therapeutic effect. In addition to being encapsulated into an MOF's pores, antibacterial agents can sometimes be directly incorporated into an MOF skeleton as organic linkers. Next, MOFs contain coordinated metal ions in their structure. Incorporation of Fe
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Identifiers
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.