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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 1866189

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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 1866189

AAV-Free Systems, LNP-Enabled Editing, Virus-Like Particles & Direct In-Body Gene Programming - Technology, Pipeline & Market Outlook 2025-2045

PUBLISHED:
PAGES: 200 Pages
DELIVERY TIME: 7-10 business days
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Executive Summary / Description

In-vivo gene therapy is entering a second revolution:

moving beyond AAV to programmable, redosable, tissue-precise, immune-silent platforms capable of editing, replacing, or modulating genes directly inside the body.

Core innovation shift:

Fixed payload -> programmable genomic software delivered in vivo.

Critical drivers:

  • Improved gene editors (base, prime, epigenome writers)
  • LNP and exosome-mimetic delivery breakthroughs
  • Safe systemic delivery replacing viral permanence
  • Off-the-shelf, titratable dosing
  • Multi-organ genome access (CNS, muscle, liver, immune system)

Primary therapeutic goals

  • Treat rare & monogenic diseases
  • Reverse common diseases at genotype-level (cardiometabolic, liver, neuro)
  • Enable in-body cell therapy (CAR-T in vivo)
  • Engineer precision organ regeneration

Global Market Forecast

  • 2024: ~$10-12B
  • 2030: $55-75B
  • 2040: >$150B
  • 2045: $300B+

Technology Understanding

Key Delivery Modalities: Category with Mechanism and Examples

  • LNPs : Lipid carriers (RNA, DNA, protein) : Moderna, Beam, Intellia, Pfizer
  • Polymer nanoparticles : Biodegradable gene carriers : Verve, Scribe partnerships
  • Virus-like particles (VLPs) : Delivery without viral genome : VLP Therapeutics, Prime VLP systems
  • Engineered exosomes : Bio-stealth delivery : Evox, Codiak IP heritage
  • Hybrid systems : LNP + peptides + targeting ligands : Precision Biosciences, Sana
  • Bacteriophage-derived vectors : Next-gen viral shuttles : Select pioneers + academia

Editing & Modulation Payloads

  • CRISPR/Cas variants (Cas9, Cas12, CasX)
  • Base editors
  • Prime editors
  • Epigenetic editors (CRISPRoff, dCas9-KRAB, gene silencing)
  • RNA editors (ADAR systems)
  • CRISPR-transposase insertion systems
  • Oligonucleotide gene modulation (siRNA, ASO, saRNA)

Engineering Constraints & Innovations

  • Tissue targeting ligands
  • Immune stealth lipid libraries
  • Machine-learning lipid screening
  • Transient editor exposure windows (safety)
  • Self-disappearing editors
  • Single-infusion circuit-reactivation systems

Applications Spectrum

  • Rare genetic diseases : Hemophilia, DMD, metabolic disorders
  • Common diseases : Cardiometabolic gene edits (PCSK9, ANGPTL3)
  • Oncology : In-vivo CAR-T, immune rewiring
  • CNS : Huntington's, ALS, Alzheimer's risk genes
  • Hematology : In-body reprogramming vs ex-vivo editing
  • Regenerative Medicine : Fibrosis reversal, hepatocyte regeneration
  • Aging & Longevity : Klotho, telomerase, mitochondrial biogenesis

Table of Content

1. Introduction

  • 1.1 Evolution from AAV to programmable systems
  • 1.2 Technology adoption curve
  • 1.3 Clinical acceleration signals

2. Biology & Mechanistic Basis

  • 2.1 Cell entry and endosomal escape
  • 2.2 Transient vs permanent editing models
  • 2.3 Off-target & genomic stability controls
  • 2.4 Immune tolerance & AAV resistance bypass

3. Delivery Technologies

  • 3.1 Lipid nanoparticle engineering
  • 3.2 Polymer nanocarriers
  • 3.3 Engineered exosomal systems
  • 3.4 VLP-based cargo delivery
  • 3.5 Hybrid synthetic-biologic systems
  • 3.6 Non-viral CNS penetration maps

4. Gene Editing Toolkit

  • 4.1 CRISPR classes & next-gen editors
  • 4.2 Base & prime editing clinical horizon
  • 4.3 Epigenome rewiring in vivo
  • 4.4 Self-limiting gene circuits
  • 4.5 Large-gene delivery breakthroughs

5. Clinical Landscape

  • 5.1 Late-stage assets
  • 5.2 Mid-stage programs
  • 5.3 Early pipeline & academic pathways
  • 5.4 Safety profiles emerging
  • 5.5 Target tissue landscape

6. Market Analysis

  • 6.1 TAM by modality and indication cluster
  • 6.2 Pricing & reimbursement evolution

7. Competitive Landscape

  • 7.1 Technology archetypes
  • 7.2 Partnering & licensing matrix
  • 7.3 M&A potential

8. Forecast & Scenarios

  • 8.1 Base case
  • 8.2 Accelerated adoption
  • 8.3 Supply-chain constrained scenario

9. Future Outlook

  • 9.1 In-vivo -> in-silico dosing optimization
  • 9.2 Organ regeneration via gene rewiring
  • 9.3 Gene therapy + AI health twin integration

10. Appendix

Have a question?
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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