Grewal, T. S. | bioRxiv Science

bioRxiv2026

Circulating miR-4532 is associated with loss of ambulation in dysferlinopathy

BackgroundLimb-girdle muscular dystrophies (LGMDs) are inherited myopathies characterized mainly by progressive weakness of the proximal muscles of the shoulder and pelvic girdle areas, leading to functional decline and eventual loss of independent ambulation. Dysferlinopathy (LGMD2B) is an autosomal recessive LGMD subtype, is caused by mutations in the DYSF gene that lead to lack of dysferlin which results in muscle death and chronic muscle fiber degeneration. Preservation of ambulation is a key clinical milestone, as loss of independent gait markedly reduces quality of life and complicates care management. Although patients often perceive functional decline before their initial clinical presentation, current clinical assessments typically detect disease progression after substantial muscle damage has occurred. MethodsIn this multigroup case-control study, we profiled plasma miRNAs from 49 genetically confirmed dysferlinopathy patients (24 ambulatory, 25 non-ambulatory) and 25 age- and sex-matched healthy controls. Total RNA was extracted from blood samples and hybridized to Affymetrix GeneChip miRNA 3.1 arrays. After quality control and filtering, differential expression analysis was performed using linear models for microarrays, adjusting for age and sex, with a false discovery rate cutoff of 10%. Results14 miRNAs were significantly altered between dysferlinopathy patients and controls. Notably, miR-4532 was upregulated in ambulatory patients relative to controls, whereas it was downregulated in non-ambulatory patients compared with ambulatory patients, although expression levels remained higher than in controls. Levels of miR-4532 were positively associated with circulating monocyte levels in ambulatory patients only. ConclusionThese results suggest that miR-4532 may be a circulating marker associated with ambulatory status in dysferlinopathy. Its known involvement in inflammatory signaling and muscle regeneration pathways underscores its potential as an early indicator for disease activity.

bioinformatics↗

bioRxiv2019

Computational and experimental insights into the chemosensory navigation of Aedes aegypti mosquito larvae

Mosquitoes are prolific disease vectors that affect public health around the world. Although many studies have investigated search strategies used by host-seeking adult mosquitoes, little is known about larval search behavior. Larval behavior affects adult body size and fecundity, and thus the capacity of individual mosquitoes to find hosts and transmit disease. Understanding vector survival at all life stages is crucial for improving disease control. In this study we use experimental and computational methods to investigate the chemical ecology and search behavior of Aedes aegypti mosquito larvae. We show that larvae do not respond to several olfactory cues used by adult Ae. aegypti to assess larval habitat quality, but perceive microbial RNA as a potent foraging attractant. Second, we demonstrate that Ae. aegypti larvae use a strategy consistent with chemokinesis, rather than chemotaxis, to navigate chemical gradients. Using computational modeling, we further show that chemokinesis is more efficient than chemotaxis for avoiding repellents in ecologically relevant larval habitat sizes. Finally, we use experimental observations and computational analyses to demonstrate that larvae respond to starvation pressure by optimizing exploration behavior. Our results identify key characteristics of foraging behavior in a disease vector mosquito, including the identification of a surprising foraging attractant and an unusual behavioral mechanism for chemosensory preference. In addition to implications for better understanding and control of disease vectors, this work establishes mosquito larvae as a tractable model for chemosensory behavior and navigation.

animal behavior and cognition↗