Biology subjects

Constantinidou, C.

Publications and source records attributed to Constantinidou, C..

3 recordsLinked to original sources

bioRxiv2026

Embedded transport accelerates interaction-limited biosensing

Phenotypic biosensors that measure bacterial viability and antimicrobial susceptibility are essential for rapid infectious disease diagnostics, yet their speed is fundamentally limited by the rate at which bacteria encounter reporter molecules, a transport bottleneck that has been typically addressed by complex microfluidic solutions. Here we show that this bottleneck can be overcome by engineering transport directly into the sensing material. A multifunctional ionic hydrogel matrix, co-encapsulating bacterial growth medium and the redox reporter resazurin, exploits swelling-driven convective transport to dramatically accelerate bacteria-reporter interactions without any change to assay chemistry. By systematically tailoring the hydrogel crosslinking density and optimizing the encapsulated nutrient-osmotic microenvironment, we maximize metabolic signal generation to achieve a 12-to-48-fold reduction in detection time relative to solution-phase and conventional hydrogel assays. Deployed in a standard 96-well format for urinary tract infection (UTI) diagnosis of 48 clinical samples, the platform rapidly detects infection in 15 minutes to 2 hours, achieving 95% sensitivity and 100% specificity for bacterial detection, and 100% sensitivity and 98% specificity for antimicrobial susceptibility profiling, compared to time-consuming gold-standard urine culture-based methods. Results are readable both quantitatively on a plate reader and visually as a colorimetric assay, enabling point-of-care deployment without additional instrumentation. Thus, embedding transport enhancement within the sensing matrix, represents a general and scalable design principle for accelerating interaction-limited biosensing, which has excellent scope for rapid diagnostic development.

bioengineering↗

bioRxiv2025

Dynamic Bacterial Growth Modulation in Structurally Distinct and Functionally Tuneable Agarose Hydrogels

Bacterial adaptability to diverse environments drives infection, persistence, and antibiotic resistance. Although hydrogels are increasingly used to model such conditions, the factors governing hydrogel-dependent bacterial growth is complex. Here, we focus on agarose hydrogels and investigate how their material properties influence bacterial proliferation. Using two agarose types - hydroxyethyl substituted and unsubstituted - at varying concentrations, we tested four bacterial species (E. coli, P. fluorescens, S. aureus, B. subtilis) across five nutrient media yielding 120 conditions. Growth consistently decreased with increasing hydrogel stiffness and water loss in unsubstituted and substituted agarose hydrogels, regardless of species. Media effects were largely due to their impact on hydrogel properties rather than nutrient content. Furthermore, electrostatic repulsion between Gram positive bacteria and anionic unsubstituted agarose suppressed growth in high concentration gels. These findings demonstrate that bacterial growth in agarose systems is primarily shaped by gel mechanics and surface interactions, informing the design of infection models and antibacterial materials.

microbiology↗

bioRxiv2020

Comparison of CRISPR and marker based methods for the engineering of phage T7

With the recent rise in interest in using lytic bacteriophages as therapeutic agents, there is an urgent requirement to understand their fundamental biology to enable the engineering of their genomes. Current methods of phage engineering rely on homologous recombination, followed by a system of selection to identify recombinant phages. For bacteriophage T7, the host genes cmk or trx have been used as a selection mechanism along with both type I and II CRISPR systems to select against wild-type phage and enrich for the desired mutant. Here we systematically compare all three systems; we show that the use of marker-based selection is the most efficient method and we use this to generate multiple T7 tail fiber mutants. Furthermore, we found the type II CRISPR-Cas system is easier to use and generally more efficient than a type I system in the engineering of phage T7. These results provide a foundation for the future, more efficient engineering of bacteriophage T7.

molecular biology↗