Outcomes of Trabeculectomy and Glaucoma Drainage Device Surgery in Congenital Aniridia-Associated Glaucoma: A Systematic Review and Meta-Analysis.

Introduction: This study aimed to compare the surgical outcomes of trabeculectomy and glaucoma drainage device (GDD) implantation in patients with congenital aniridia.

Methods: Eligible studies were retrieved from Embase, MEDLINE (via PubMed), and the Cochrane Central Register of Controlled Trials (CENTRAL) up to December 15, 2024. Studies were included if they reported clinical outcomes following trabeculectomy or GDD implantation in individuals with aniridic glaucoma.

Stochastic parabolic growth promotes coexistence and a relaxed error threshold in RNA-like replicator populations.

The RNA world hypothesis proposes that during the early evolution of life, primordial genomes of the first self-propagating evolutionary units existed in the form of RNA-like polymers. Autonomous, non-enzymatic, and sustained replication of such information carriers presents a problem, because product formation and hybridization between template and copy strands reduces replication speed. Kinetics of growth is then parabolic with the benefit of entailing competitive coexistence, thereby maintaining diversity.

A neural network-based model framework for cell-fate decisions and development.

Gene regulatory networks (GRNs) fulfill the essential function of maintaining the stability of cellular differentiation states by sustaining lineage-specific gene expression, while driving the progression of development. However, accounting for the relative stability of intermediate differentiation stages and their divergent trajectories remains a major challenge for models of developmental biology. Here, we develop an empirical data-based associative GRN model (AGRN) in which regulatory networks store multilineage stage-specific gene expression profiles as associative memory patterns.

Combined effect of environmental temperature and density-dependent processes on the evolution of seasonal metabolic rate patterns.

Species exhibit large diversity in their seasonal metabolic patterns which are traditionally explained by habitat specific seasonal temperature changes and various thermoregulatory adaptations. However, due to seasonal changes in resource abundances, density-dependent, ecological processes can also be important selective forces shaping the evolution of metabolic patterns. In the present theoretical study, the combined effect of environmental temperature and resource availability on the evolutionarily stable metabolic strategies is investigated in a consumer-resource model.