Most patients with neovascular age-related macular degeneration (nvAMD), the leading cause of severe vision loss in elderly US citizens, respond inadequately to current therapies targeting a single angiogenic mediator, vascular endothelial growth factor (VEGF). Here, we report that aqueous fluid levels of a second vasoactive mediator, angiopoietin-like 4 (ANGPTL4), can help predict the response of patients with nvAMD to anti-VEGF therapies. ANGPTL4 expression was higher in patients who required monthly treatment with anti-VEGF therapies compared with patients who could be effectively treated with less-frequent injections. We further demonstrate that ANGPTL4 acts synergistically with VEGF to promote the growth and leakage of choroidal neovascular (CNV) lesions in mice. Targeting ANGPTL4 expression was as effective as targeting VEGF expression for treating CNV in mice, while simultaneously targeting both was more effective than targeting either factor alone. To help translate these findings to patients, we used a soluble receptor that binds to both VEGF and ANGPTL4 and effectively inhibited the development of CNV lesions in mice. Our findings provide an assay that can help predict the response of patients with nvAMD to anti-VEGF monotherapy and suggest that therapies targeting both ANGPTL4 and VEGF will be a more effective approach for the treatment of this blinding disease.
Yu Qin, Aumreetam Dinabandhu, Xuan Cao, Jaron Castillo Sanchez, Kathleen Jee, Murilo Rodrigues, Chuanyu Guo, Jing Zhang, Jordan Vancel, Deepak Menon, Noore-Sabah Khan, Tao Ma, Stephany Y. Tzeng, Yassine Daoud, Jordan J. Green, Gregg L. Semenza, Silvia Montaner, Akrit Sodhi
Usage data is cumulative from June 2022 through March 2023.
Usage | JCI | PMC |
---|---|---|
Text version | 7,842 | 137 |
964 | 63 | |
Figure | 572 | 11 |
Supplemental data | 155 | 0 |
Citation downloads | 75 | 0 |
Totals | 9,608 | 211 |
Total Views | 9,819 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.