# Version 2.0 — Revision Notes

**Multi-Target Gene Therapy for Osteoarthritis: Dual-Axis Modeling and In Silico Validation**

**DOI:** 10.21203/rs.3.rs-8774255/v1  
**Author:** Po-Sung (Sinclair) Huang  
**Date:** February 2026

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## Summary of Changes from v1 → v2

### Title Change
- **v1:** "Multi-Target Gene Therapy for Osteoarthritis: A Computational and Structural Analysis Framework"
- **v2:** "Multi-Target Gene Therapy for Osteoarthritis: Dual-Axis Modeling and In Silico Validation"
- Rationale: Added "in silico" keyword for clarity; shortened title per reviewer feedback

### New Analyses (4 major additions)

1. **Network Perturbation Analysis (Section 2.4, 3.3)**
   - Monte Carlo simulation (n=1,000 iterations) quantifying multi-target synergy
   - ECM Recovery Score: Multi-target 76.2 ± 8.3 vs Control 43.6 ± 12.1 (p < 0.001)
   - Synergy index: 1.13 (exceeds expected additive effect)

2. **GLPG1972 Clinical Failure Analysis (Section 2.3, 3.4)**
   - "Exosite Bypass Hypothesis" explaining Phase 2 ROCCELLA trial failure
   - Structural analysis of PDB: 6YJM
   - Supports shRNA over small molecule inhibition

3. **shRNA Design and Validation (Section 2.5, 3.5)**
   - Reynolds algorithm scoring for ADAMTS-5 and MMP-13 targets
   - Lead candidates: shADAMTS5-1 (9/9), shMMP13-1 (9/9)
   - BLAST off-target validation: 0 hits for top candidates

4. **Human–Canine Homology Analysis (Section 2.6, 3.6)**
   - Mean sequence identity: 90.5% across all therapeutic targets
   - Functional domain conservation: 95%
   - Supports canine translational model

### Structural Revisions

| Element | v1 | v2 |
|---------|----|----|
| Title | Computational Framework | Dual-Axis Modeling + In Silico |
| Abstract | ~200 words | 262 words (within 300 limit) |
| Tables | 0 | 3 (Intervention Scenarios, Network Results, Homology) |
| Main Figures | 1 | 5 + Graphical Abstract |
| Supp. Figures | 0 | 3 |
| Supp. Tables | 0 | 4 |
| References | ~15 | 42 |
| Word Count | ~3,500 | ~6,800 |
| ORCID | Placeholder | 0009-0003-8794-7981 |

### Additional Improvements (Reviewer-Informed)
- Added "hypothesis-generating" framing in Abstract conclusions
- Added Table 1 (Intervention Scenarios) for table numbering consistency
- Added Cohen's d effect sizes to Table 2
- Added ECM Recovery Score formula in LaTeX format
- Added code availability statement in Methods section
- Expanded Limitations to 5 points with greater specificity
- Added Discussion take-home messages at end of each subsection
- Updated Data Availability Statement (removed "Replication Package" reference)
- Updated Graphical Abstract with "75% ECM improvement" quantitative result
- Added complete Figure Legends with detailed panel descriptions
- All en-dash/minus sign formatting standardized

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## File Manifest

### Core Documents
- `MAIN_MANUSCRIPT_V2.md` — Complete revised manuscript
- `SUPPLEMENTARY_MATERIALS.md` — Tables S1–S4, Methods S1, Figure legends
- `VERSION_UPDATE_NOTES.md` — This file
- `RESEARCH_SQUARE_UPLOAD_GUIDE.md` — Step-by-step upload instructions

### Figures (300 DPI PNG)
- `graphical_abstract_revised.png` — Updated with quantitative results
- `figure1_dual_axis_model.png`
- `figure2_network_perturbation.png`
- `figure3_glpg1972_failure.png`
- `figure4_shrna_design.png`
- `figure5_homology.png`
- `figS1_expression_heatmap.png`
- `figS2_bootstrap_ci.png`
- `figS3_synergy_analysis.png`

### Code / Replication
- `01_network_perturbation.py`
- `02_shrna_design.py`
- `generate_figures.py`
- `replication_package.zip`