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Feldman, N.

Publications and source records attributed to Feldman, N..

2 recordsLinked to original sources

Healing cascades and infections in wounds monitored using a wearable sensor of gaseous flux

Capabilities for quantitative monitoring of chronic wounds remain an unmet clinical need, as existing diagnostic approaches rely on semiquantitative evaluation of symptoms that lack sensitivity especially during early stages of infection. Here we present a scheme for tracking wound physiology that leverages a miniature, wireless skin-interfaced device for non-contact, transient measurements of the flux of volatile organic compounds (VOCs) and water vapor from the wound microenvironment. Unlike emerging smart bandage platforms that rely on physical contact with the fragile wound bed to interrogate liquid-phase biomarkers, this strategy uses an engineered microclimate and suspended suite of sensors to measure the diffusive transport of wound-derived gases across the wound surface but separated from it. The result enables quantitative evaluation of metabolic activity and healing progression without perturbing the healing tissues. In biofilm growth models of Staphylococcus aureus, measurements demonstrate that trends in VOC flux correlate strongly with bacterial growth kinetics and precede any visible biofilm formation. Longitudinal monitoring in infected murine wound healing models shows that concurrent measurements of water vapor and VOC flux provide complementary physiological insights, capturing both the trajectory of barrier restoration and the dynamics of bacterial burden. The findings establish this non-contact sensing scheme as a distinct and clinically translatable paradigm for wound monitoring, with broad implications for non-invasive surveillance of disease states in which tissue metabolic activity and skin barrier integrity serve as actionable physiological readouts. Significance StatementLimited capabilities in continuous, quantitative assessment of a wound make early diagnosis and effective management challenging, particularly in cases of infection that rapidly progress before symptoms appear. Non-contact approaches for wound monitoring that preserve fragile tissue can transform wound care. In this context, gaseous flux from the wound bed provides an integrative measure of microbial activity and barrier restoration. This study establishes a wearable sensing platform that quantifies these fluxes in real time, enabling early infection detection and temporal tracking of wound healing. These results highlight a path toward personalized treatment strategies and reduced reliance on episodic clinical evaluation.

bioengineering↗

Super-Resolved Spatial Transcriptomics Reveals Early Changes in RNA Localization in the 5xFAD Hippocampus

Cell-type-specific changes in gene expression and RNA localization are hallmarks of Alzheimers disease (AD) and other neurodegenerative disorders, yet spatial dysregulation in early disease stages remains poorly defined. Here, we applied Expansion Sequencing (ExSeq) to map the spatial distribution of 101 genes at super-resolution in the hippocampus of 4-week-old 5xFAD and wild-type (WT) mice, prior to overt pathology. We uncovered early alterations in RNA spatial organization and gene expression, including 23 genes showing altered localization without changes in abundance in the 5xFAD hippocampus. Using spatial expression analysis and single-cell neighborhood analysis, we identified cell-type- and region-specific molecular programs associated with synaptic function, neuroinflammation, and metabolic stress that differed between 5xFAD and WT mice. Spatial RNA velocity further revealed state differences influenced by local cell to cell interactions. Together, these results suggest that RNA positioning and transcriptional programs are perturbed at early disease stages. Finally, we provide the full super-resolution ExSeq dataset as an open resource for spatial and cell-type-specific analyses in early Alzheimers disease research. HighlightsO_LISuper-resolved transcriptomic profiling of the hippocampus at early disease stages C_LIO_LIIdentification of 23 genes with altered spatial localization without changes in abundance C_LIO_LIEarly alterations in single-cell neighborhood organization in the 5xFAD hippocampus C_LIO_LISpatial RNA velocity reveals cell-type-specific cell state differences shaped by cell-cell proximity C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=187 SRC="FIGDIR/small/678295v2_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1b46cf2org.highwire.dtl.DTLVardef@5cc55eorg.highwire.dtl.DTLVardef@a1ade4org.highwire.dtl.DTLVardef@9f833e_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗