In vivo evolution of env in SHIV-AD8-infected rhesus macaques after AAV-vectored delivery of eCD4-Ig.

eCD4-immunoglobulin (Ig) is an HIV entry inhibitor that mimics the engagement of both CD4 and CCR5 with the HIV envelope (Env) protein, a property that imbues it with remarkable potency and breadth. However, env is exceptionally genetically malleable and can evolve to escape a wide variety of entry inhibitors. Here we document the evolution of partial eCD4-Ig resistance in SHIV-AD8-infected rhesus macaques (RMs) treated with adeno-associated virus vectors encoding eCD4-Ig.

Clinical Use of Home OCT Data to Manage Neovascular Age-Related Macular Degeneration.

To investigate how home optical coherence tomography (OCT) influences the clinical decision-making of retina specialists for the management of neovascular age-related macular degeneration (nAMD). In this retrospective imaging review, 15 retina specialists each evaluated 10 home OCT data segments from 29 eyes being treated for nAMD. Based on OCT data, indications were identified for when eyes should be treated, which antivascular endothelial growth factor should be used, and the specific retinal fluid and time thresholds for notification.

Bevacizumab First in DRCR Protocol AC vs Real-World Physician Treatment Choice for Diabetic Macular Edema: Two-Year Cost Analysis.

To compare the modeled costs of the Protocol AC bevacizumab-first treatment protocol (with a switch to aflibercept for sub-responders) with real-world costs for treatment-naïve patients with diabetic macular edema (DME) over a 2-year period. Published data from the Diabetic Retinopathy Clinical Research Network (DRCR) Protocol AC bevacizumab-first arm (154 eyes) were used to model 2-year treatment costs. Real-world costs were modeled using data from the Vestrum Health electronic medical records database from a 2016 to 2018 cohort of treatment-naïve eyes with DME (n = 1062) treated with antivascular endothelial growth factor monotherapy.

Exome Sequencing Starting from Single Cells.

Single-cell genomic analysis enables researchers to gain novel insights across diverse research areas, including developmental biology, tumor heterogeneity, and disease pathogenesis. Conducting single-cell genomic analysis using next-generation sequencing (NGS) methods has traditionally been challenging as the amount of genomic DNA present in a single cell is limited. Advancements in multiple displacement amplification (MDA) technologies allow the unbiased amplification of limited quantities of DNA under conditions that maintain its integrity.