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Henry, A. M.

Publications and source records attributed to Henry, A. M..

3 recordsLinked to original sources

Bridging Stem Cell Models and Medicine: Integrated 3D Human Cerebral Organoids and Pediatric Serum Reveal Mechanisms and Biomarkers of Anesthetic-Induced Neurotoxicity

BackgroundGeneral anesthetics have been shown to cause acute pathological changes in the developing brain, including neuronal cell death. These effects contribute to long-term cognitive and behavioral impairments observed in animal models. Epidemiological and prospective clinical studies have also reported associations between early-life exposure to anesthesia and neurodevelopmental deficits in children, raising significant concerns about pediatric anesthesia and highlighting the urgent need to understand the molecular mechanisms and biomarkers of anesthetic-induced developmental neurotoxicity (AIDN) using human-relevant models. MethodsThis study employed human induced pluripotent stem cell-derived cerebral organoids that were exposed to varying doses of anesthetic propofol for 1 to 6 hours, including single and repeated exposures. In parallel, serum samples were collected pre- and post-surgery from pediatric patients under 4 years old (n = 10 per group) who underwent either short (<1 hour) or prolonged anesthesia (>3 hours) at the Childrens Hospital of Wisconsin between September 2018 and October 2019. Pathological changes in organoids were assessed using chemical assays, electron microscopy, and western blotting. Brain injury-related proteins in patient serum were quantified via ELISA. Genome-wide expression profiling was conducted on 18,855 mRNAs and 27,427 lncRNAs in organoids and serum using microarray and bioinformatics. ResultsHigher doses, longer duration, and repeated exposures to propofol led to increased apoptosis in organoids. Six-hour exposure induced autophagy as evidenced by LC3-II elevation and led to dysregulation of 553 mRNAs and 792 lncRNAs in organoids, along with their co-expressed signaling networks, affecting pathways related to synaptic integrity, mitochondrial function, and inflammation. ELISA and serum analysis of pediatric patients (<4 years old) exposed to anesthesia (>3 hours) demonstrated elevated brain cell injury-associated proteins (e.g., increased NSE) and brain cell type-specific gene expression changes. Serum findings corroborated organoid data, identifying 21 mRNAs and 12 lncRNAs that were dysregulated in both models and associated with cell injury, neuronal development, inflammation, and learning deficits. ConclusionsThis study represents the first integrative transcriptomic analysis of AIDN using both 3D human cerebral organoids and pediatric patient serum--two complementary, human-relevant models. By identifying consistently dysregulated coding and non-coding RNAs across both platforms, we provide compelling evidence of shared molecular signatures linked to neuronal injury, inflammation, and neurodevelopmental disruption. These findings offer not only mechanistic insights but also lay the groundwork for the development of minimally invasive biomarkers and future therapeutic strategies. This dual-model approach bridges experimental discovery with clinical relevance, advancing the translational understanding of pediatric anesthetic neurotoxicity and supporting efforts to improve long-term neurological outcomes in vulnerable patient populations.

neuroscience↗

Regional, layer, and cell-class specific connectivity of the mouse default mode network

The evolutionarily conserved default mode network (DMN) is characterized by temporally correlated activity between brain regions during resting states. The DMN has emerged as a selectively vulnerable network in multiple disorders, so understanding its anatomical composition will provide fundamental insight into how its function is impacted by disease. Reproducible rodent analogs of the human DMN offer an opportunity to investigate the underlying brain regions and structural connectivity (SC) with high spatial and cell type resolution. Here, we performed systematic analyses using mouse resting state functional magnetic resonance imaging to identify the DMN and whole brain axonal tracing data, co-registered to the 3D Allen Mouse Common Coordinate Framework reference atlas. We identified the specific, predominantly cortical, brain regions comprising the mouse DMN and report preferential SC between these regions. Next, at the cell class level, we report that cortical layer (L) 2/3 neurons in DMN regions project almost exclusively to other DMN regions, whereas L5 neurons project to targets both in and out of the DMN. We then test the hypothesis that in- and out-DMN projection patterns originate from distinct L5 neuron sub-classes using an intersectional viral tracing strategy to label all the axons from neurons defined by a single target. In the ventral retrosplenial cortex, a core DMN region, we found two L5 projection types related to the DMN and mapped them to unique transcriptomically-defined cell types. Together, our results provide a multi-scale description of the anatomical correlates of the mouse DMN.

neuroscience↗

Toward an integrated classification of neuronal cell types: morphoelectric and transcriptomic characterization of individual GABAergic cortical neurons

Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 3,700 GABAergic mouse visual cortical neurons and reconstructed the local morphologies of 350 of those neurons. We found that most transcriptomic types (t-types) occupy specific laminar positions within mouse visual cortex, and many of those t-types exhibit consistent electrophysiological and morphological features. We observed that these properties could vary continuously between t-types, which limited the ability to predict specific t-types from other data modalities. Despite that, the data support the presence of at least 20 interneuron met-types that have congruent morphological, electrophysiological, and transcriptomic properties. HighlightsO_LIPatch-seq data obtained from >3,700 GABAergic cortical interneurons C_LIO_LIComprehensive characterization of morpho-electric features of transcriptomic types C_LIO_LI20 interneuron met-types that have congruent properties across data modalities C_LIO_LIDifferent Sst met-types preferentially innervate different cortical layers C_LI

neuroscience↗