ReviewAdvanced healthcare materials2025
Nanocarrier-Based Targeting of Pattern Recognition Receptors as an Innovative Strategy for Enhancing Sepsis Therapy.
Review in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Nano-antimicrobial peptides (Nano-AMPs) to combat resistant gram-negative bacteria.Drug delivery and translational research · 2026Review
- Novel lipid and ascorbyl stearate biomimetic vancomycin-loaded nanostructured lipid carrier therapy for bacterial infections and sepsis.RSC advances · 2026Article
- Peptidoglycan-loaded PLGA-PVA nanoparticles sustain NOD2 and IFN-γ transcription in NK-92 cells beyond nanoparticle withdrawal.Archives of microbiology · 2026Article
- Engineering host‑defense peptides enhanced by artificial intelligence and nano delivery systems to overcome biofilms and antimicrobial resistance.Engineering microbiology · 2026Review
- Targeted inhibition of PARP-1 in pulmonary epithelial cells and macrophages via SPA-functionalized microparticles attenuates sepsis-induced lung injury.Materials today. Bio · 2026Article
- The role of immunomodulatory nano systems in the treatment of sepsis: past, present, and future.Nanomedicine (London, England) · 2026Review
- Nanocarrier-Based Targeting of Pattern Recognition Receptors as an Innovative Strategy for Enhancing Sepsis Therapy.Advanced healthcare materials · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Sepsis is a life-threatening condition caused by an abnormal immune response to infection, leading to multiple organ failure. Despite advances in understanding its pathophysiology, effective pharmacological interventions and nanomedicines to treat sepsis remain lacking. Pattern recognition receptors (PRRs), crucial in detecting microbial toxins and triggering inflammation, are promising therapeutic targets for bacterial sepsis and related organ injuries. Nanocarriers designed to target PRRs can deliver antibiotics and anti-inflammatory agents while modulating inflammation by inhibiting PRR-bacterial ligand interactions. This review examines PRR-targeted nanocarriers, focusing on Toll-like receptors (TLRs) and NOD-like receptors (NLRs), which recognize bacterial toxins. It evaluates the nanomaterials used, their immunomodulatory effects, and their performance in various in vitro and in vivo sepsis models. The review also discusses the strengths and limitations of current research, offering insights into optimizing nanocarriers for better therapeutic outcomes. Key challenges in translating these nanosystems into clinical practice are identified, alongside potential solutions for accelerating clinical development. In conclusion, the review highlights the potential of PRR-targeted nanocarriers in improving sepsis treatment and emphasizes their promise for future clinical application, contingent on further refinement and optimization.
Indexed as
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.