Emerging clinical evidence of a dual role for Ang-2 and VEGF-A blockade with faricimab in retinal diseases
Bibliographic record
Abstract
Anti-vascular endothelial growth factor (VEGF) therapies have transformed the treatment of retinal diseases. However, VEGF signaling is only one component of the complex, multifactorial pathophysiology of retinal diseases, and many patients have residual disease activity despite ongoing anti-VEGF treatment. The angiopoietin/tyrosine kinase with immunoglobulin and epidermal growth factor receptor-2 (Ang/Tie2) signaling pathway is critical to endothelial cell homeostasis, survival, integrity, and vascular stability. Ang-2 can interfere with Ang-1/Tie2 signaling and is increased in several retinal diseases. Lack of Tie2 signaling due to elevated Ang-2 levels drives vascular instability through pericyte dropout, neovascularization, vascular leakage, inflammation, and fibrosis. Although Ang-2 and VEGF can synergistically promote vascular instability and neovascularization, Ang-2 may also mediate vascular instability independently of VEGF. Faricimab is a bispecific antibody designed for intraocular use that inhibits two distinct pathways via Ang-2 and VEGF-A blockade. Clinical biomarkers of vascular instability are important for evaluating disease control and subsequent treatment decisions. These biomarkers include measurement/evaluation with optical coherence tomography (OCT) of intraretinal fluid, subretinal fluid, central subfield thickness, and pigment epithelial detachments (PEDs), and fluorescein angiography imaging of macular leakage and PEDs. Hyperreflective foci (HRF), thought to be representative of activated microglia, indicating an inflammatory microenvironment, and epiretinal membranes (ERMs), a marker for retinal fibrotic proliferation in diabetic macular edema (DME), are both also identified using OCT. Here we summarize data (secondary endpoint and prespecified exploratory analyses as well as post hoc analyses) from six Phase III trials suggest that dual therapy Ang-2/VEGF-A inhibition with faricimab (6 mg) has a greater effect on reducing/resolving biomarkers of vascular instability than aflibercept (2 mg), by both controlling neovascularization and vascular leakage (with resultant resolution of exudation associated with DME, neovascular age-related macular degeneration, and retinal vein occlusion), as well as by targeting inflammation (reduction of HRF in DME) and retinal fibrotic proliferation (reducing the risk of ERMs in eyes with DME). Modulation of both the Ang-2 and VEGF-A pathways with faricimab may therefore provide greater disease control than anti-VEGF monotherapy, potentially leading to extended treatment durability and improved long-term outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".