Hasan, S. M. | Search bioRxiv

bioRxiv2026

The Hidden Cost of Blue Light: Multiorgan Pathology Induced by LED Exposure in Mice

Life evolved under broad-spectrum sunlight (300-3500 nm), but most modern light-emitting diodes (LEDs) emit within a restricted visible range (350-650 nm) leaving lighting environments that are short-wavelength dominant. We ask if chronic 450nm exposure dominant in LEDs alters metabolism and organ integrity in ageing mice environmentally exposed at 13 mW/cm{superscript 2} for 5 h/day over 40 weeks, at an intensity within the range of human environmental exposures. Mice exhibited progressive weight gain despite reduced food intake, with altered glucose tolerance and insulin sensitivity over time. White adipose tissue mass increased, while brown adipose tissue weight and UCP1 protein levels remained unchanged. Relative organ weights (heart, liver, kidney, testis) were each reduced by ~10%, with histopathology revealing fat deposition, hepatocellular degeneration, renal tubular damage, steatosis, and impaired testicular architecture. These findings demonstrate that chronic 450 nm light exposure is associated with metabolic alterations and multiorgan pathology in mice.

pathology↗

bioRxiv2024

Horizon: CNV interpretation through rapid automated ACMG-aligned pathogenicity analysis

PurposeOur study assesses the Horizon model, a novel CNV classification tool developed in line with American College of Medical Genetics (ACMG) guidelines, to enhance the classification of pathogenicity in CNVs. MethodsHorizon utilizes a ranking-based algorithm, incorporating multiple proprietary databases and variant inheritance models as per ACMG standards. The models effectiveness was verified through Area Under the Curve (AUC) analyses on three datasets comprising 696 pathogenic inherited or de novo variants, as classified by clinical geneticists and several established tools. ResultsHorizon achieved an AUC of 0.97 in the discovery cohort, demonstrating high accuracy in CNV interpretation and proficiency in predicting pathogenicity. We observed an AUC of 0.87 in the de novo variant cohort and an overall AUC of 0.94 across all cohorts, surpassing tools like ClassifyCNV and AnnotSV. It showed particular effectiveness in interpreting duplication CNVs and the highest performance for CNVs sized 3-5 Mb. ConclusionThe Horizon model offers robust and accurate CNV interpretation, outperforming existing tools and aligning closely with clinical evaluations. Its comprehensive approach, integrating a range of genomic features and following ACMG guidelines, makes it a crucial tool in the genomic interpretation landscape, facilitating the rapid and accurate diagnosis of genetic disorders.

genomics↗