Wilson, B. K. | Search bioRxiv

bioRxiv2024

A Strategic Blend of Stabilizing Polymers to Control Particle Surface Charge for Enhanced Mucus Transport and Cell Binding

Mucus layers, viscoelastic gels abundant in anionic mucin glycoproteins, obstruct therapeutic delivery across all mucosal surfaces. We found that strongly positively charged nanoparticles (NPs) rapidly adsorb a mucin protein corona in mucus, impeding cell binding and uptake. To overcome this, we developed mucus-evading, cell-adhesive (MECS) NPs with variable surface charge using Flash NanoPrecipitation, by blending a neutral poly(ethylene glycol) (PEG) corona for mucus transport with a small amount, 5 wt%, of polycationic dimethylaminoethyl methacrylate (PDMAEMA) for increased cell targeting. In vitro experiments confirmed rapid mucus penetration and binding to epithelial cells by MECS NPs, suggesting a breakthrough in mucosal drug delivery.

biophysics↗

bioRxiv2024

Speckle contrast optical spectroscopy improves cuffless blood pressure estimation compared to photoplethysmography

Continuous and non-invasive blood pressure (BP) monitoring has the potential to greatly improve hypertension diagnosis and management, along with enabling valuable personal health monitoring in the population at large. Existing methods rely on cuff-based sphygmomanometers, which are cumbersome and disrupt sleep. Despite extensive research utilizing photoplethysmography (PPG), which is integrated into many consumer wearables, errors in continuous BP estimation are generally considered unacceptable for general use. We developed a high-speed (390 Hz) Speckle Contrast Optical Spectroscopy (SCOS) system to measure the cardiac blood flow waveform simultaneously with the PPG signal at high temporal resolution. The system utilized high speed multiplexed detection of optical speckle patterns on the wrist and finger, enabling the extraction of novel features related to BP. In comparison to PPG alone, SCOS demonstrated a notable 31% improvement (p = 3.45 * 10-7) in systolic BP estimation when integrated into subject-specific machine-learning models. The resulting errors were remarkably low (systolic BP: 0.06+/- 2.88 mmHg, diastolic BP: 0.09 +/-2.14 mmHg) across a wide range of BP variations (range SBP: 89-284 mmHg). Importantly, this improvement was sustained several weeks later within a re-measured cohort, indicating highly robust BP predictions. Looking ahead, the use of SCOS for blood flow measurements holds the potential to substantially enhance BP estimations compared to conventional PPG-based methods.

bioengineering↗