Toolkit/polymeric nanoparticles

polymeric nanoparticles

Also known as: PNPs

Taxonomy: Mechanism Branch / Architecture. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

The supplied summary states that the review centers on engineering lipid-based, polymeric, and inorganic nanoparticles to overcome delivery barriers.

Usefulness & Problems

No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.

Published Workflows

Objective: Analyze the global patent landscape of nanotechnology-based delivery systems for nucleic acid therapies in breast cancer to identify key technological platforms, emerging trends, and research and development opportunities.

Why it works: The workflow combines database retrieval with topic-specific keywords, IPC codes, and status/time filters to reduce a broad patent corpus to a more decision-relevant active subset.

database patent searchkeyword filteringIPC code filteringstatus-based patent filtering

Stages

  1. 1.
    Patent search and retrieval(in_silico_filter)

    To identify a broad initial set of patent families relevant to nanotechnology-based nucleic acid delivery systems for breast cancer.

    Selection: Keywords and IPC codes related to breast cancer, nucleic acid therapies, and delivery platforms

  2. 2.
    Patent status and recency filtering(decision_gate)

    To narrow the broad patent set to a recent active subset for detailed examination.

    Selection: Active patents from the past five years (2020-2025)

  3. 3.
    Detailed examination of selected patents(secondary_characterization)

    To characterize technological platforms, trends, and opportunities within the recent active patent subset.

    Selection: Detailed examination of the filtered active subset

Steps

  1. 1.
    Search DWPI using keywords and IPC codes

    Retrieve patents related to breast cancer, nucleic acid therapies, and delivery platforms.

    A broad database search is needed before any filtering or prioritization can occur.

  2. 2.
    Classify documents by status and focus on recent active patents

    Reduce the initial patent set to a more current and actionable subset.

    Status and recency filtering follows broad retrieval so that detailed examination is limited to the most relevant active patents.

  3. 3.
    Examine selected patents to identify platforms and trendsdelivery platforms identified during analysis

    Determine dominant technological platforms, geographic leaders, and thematic trends in the selected patent set.

    Detailed characterization is performed after narrowing the corpus to a recent active subset to improve decision relevance.

Objective: Engineer and evaluate resveratrol nanoformulations that improve delivery performance while reducing safety risk.

Why it works: The review frames nanoencapsulation and formulation optimization as a way to address the physicochemical instability, poor permeability, and rapid metabolism that limit resveratrol efficacy.

nanoencapsulationtargeted deliverycontrolled or improved drug releasenanodelivery system selectionnanoformulation optimizationin vivo testing

Stages

  1. 1.
    Nanoformulation design and carrier selection(library_design)

    The abstract identifies multiple carrier classes as promising approaches to improve resveratrol delivery performance.

    Selection: Choose among nanodelivery system classes for resveratrol nanoencapsulation.

  2. 2.
    Formulation optimization(functional_characterization)

    The review describes strategies to improve key formulation properties of existing nanoformulations.

  3. 3.
    In vivo safety-oriented testing across disease settings(in_vivo_validation)

    The abstract explicitly states that in vivo testing is needed to avoid potential safety issues.

Taxonomy & Function

Primary hierarchy

Mechanism Branch

Architecture: A delivery strategy grouped with the mechanism branch because it determines how a system is instantiated and deployed in context.

Target processes

editing

Input: Chemical

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1capability statementsupports2026Source 2needs review

Nanoparticle-based delivery systems can improve the stability, circulation time, and tumor-targeting precision of encapsulated CRISPR components.

Claim 2clinical milestonesupports2026Source 2needs review

The NTLA-2001 trial demonstrated the first successful use of lipid nanoparticles for in vivo CRISPR delivery in humans.

Claim 3limitation statementsupports2026Source 2needs review

Current nanoparticle-enhanced CRISPR delivery approaches remain limited by poor delivery to solid tumors, potential off-target effects, and inconsistent nanoparticle formulations.

Claim 4limitation summarysupports2026Source 4needs review

Comprehensive safety assessments remain a challenge for nanoparticle-based Huntington's disease therapies.

Claim 5mechanism summarysupports2026Source 4needs review

Nanoscale carriers are described as able to traverse the blood-brain barrier and enable direct delivery of treatment agents to regions affected by Huntington's disease.

Claim 6scope statementsupports2025Source 5needs review

mRNA vaccine design includes mRNA engineering strategies and delivery innovations such as lipid nanoparticles, polymeric nanoparticles, virus-like particles, and needle-free administration technologies.

Claim 7review summarysupports2023Source 3needs review

Multiple nanodelivery system classes have shown great potential to improve the solubility, biocompatibility, and therapeutic efficacy of resveratrol.

Nanodelivery systems, such as liposomes, polymeric nanoparticles, lipid nanocarriers, micelles, nanocrystals, inorganic nanoparticles, nanoemulsions, protein-based nanoparticles, exosomes, macrophages, and red blood cells (RBCs) have shown great potential for improving the solubility, biocompatibility, and therapeutic efficacy of resveratrol.
Claim 8design axis summarysupports2020Source 1needs review

Heterogeneity is presented as a central design problem for nanoparticle drug delivery in precision medicine.

Claim 9material class scopesupports2020Source 1needs review

The review scope explicitly includes lipid-based, polymeric, and inorganic nanoparticle systems as major precision-delivery platform classes.

Claim 10mechanism contextsupports2020Source 1needs review

Protein corona is treated as a relevant determinant of nanoparticle biological identity and delivery behavior in the review's design context.

Claim 11mechanism contextsupports2020Source 1needs review

The enhanced permeability and retention effect is presented as heterogeneous and therefore insufficient as a uniform assumption for precision nanomedicine design.

Claim 12review scope summarysupports2020Source 1needs review

The review frames precision nanoparticle engineering as a strategy to overcome systemic, microenvironmental, and cellular barriers to drug delivery.

Approval Evidence

6 sources8 linked approval claimsfirst-pass slugs polymeric-carriers, polymeric-nanoparticles
By encapsulating CRISPR components within lipid, polymeric, or inorganic nanoparticles, researchers have improved their stability, circulation time, and tumor-targeting precision.

Source:

These nano systems, including liposomes, dendrimers, polymeric nanoparticles, and solid lipid nanoparticles, offer significant potential by targeting and modulating intricate biochemical pathways involved in the progression of Huntington's disease.

Source:

delivery innovations such as ... polymeric nanoparticles (PNPs)

Source:

Lipid-based nanoparticles and polymeric carriers were the most frequently cited platforms.

Source:

Nanodelivery systems, such as ... polymeric nanoparticles ... have shown great potential for improving the solubility, biocompatibility, and therapeutic efficacy of resveratrol.

Source:

The supplied summary states that the review centers on engineering lipid-based, polymeric, and inorganic nanoparticles to overcome delivery barriers.

Source:

capability statementsupports

Nanoparticle-based delivery systems can improve the stability, circulation time, and tumor-targeting precision of encapsulated CRISPR components.

Source:

limitation statementsupports

Current nanoparticle-enhanced CRISPR delivery approaches remain limited by poor delivery to solid tumors, potential off-target effects, and inconsistent nanoparticle formulations.

Source:

limitation summarysupports

Comprehensive safety assessments remain a challenge for nanoparticle-based Huntington's disease therapies.

Source:

mechanism summarysupports

Nanoscale carriers are described as able to traverse the blood-brain barrier and enable direct delivery of treatment agents to regions affected by Huntington's disease.

Source:

platform prevalencesupports

Lipid-based nanoparticles and polymeric carriers were the most frequently cited delivery platforms in the analyzed patents.

Lipid-based nanoparticles and polymeric carriers were the most frequently cited platforms.

Source:

scope statementsupports

mRNA vaccine design includes mRNA engineering strategies and delivery innovations such as lipid nanoparticles, polymeric nanoparticles, virus-like particles, and needle-free administration technologies.

Source:

review summarysupports

Multiple nanodelivery system classes have shown great potential to improve the solubility, biocompatibility, and therapeutic efficacy of resveratrol.

Nanodelivery systems, such as liposomes, polymeric nanoparticles, lipid nanocarriers, micelles, nanocrystals, inorganic nanoparticles, nanoemulsions, protein-based nanoparticles, exosomes, macrophages, and red blood cells (RBCs) have shown great potential for improving the solubility, biocompatibility, and therapeutic efficacy of resveratrol.

Source:

material class scopesupports

The review scope explicitly includes lipid-based, polymeric, and inorganic nanoparticle systems as major precision-delivery platform classes.

Source:

Comparisons

No literature-backed comparison notes have been materialized for this record yet.

Ranked Citations

  1. 1.
    StructuralSource 1Nature Reviews Drug Discovery2020Claim 8Claim 9Claim 10

    Seeded from load plan for claim cl3. Extracted from this source document.

  2. 2.

    Extracted from this source document.

  3. 3.
    StructuralSource 3Drug Delivery2023Claim 7

    Extracted from this source document. Seeded from load plan for claim cl2.

  4. 4.
    StructuralSource 4MED2026Claim 4Claim 5

    Seeded from load plan for claim cl3. Extracted from this source document.

  5. 5.
    StructuralSource 5MED2025Claim 6

    Extracted from this source document.