Biology subjects

Yan, Y.

Publications and source records attributed to Yan, Y..

At least 73 records · Page 4Linked to original sources

bioRxiv2025

Extracellular vesicles from morphine-exposed prefrontal cortex carry transcriptomic and proteomic signatures of synaptic dysfunction

Extracellular vesicles (EVs) released by neurons and glial cells mediate intercellular communication in the brain and regulate synaptic function, neuronal survival, and neuropathological processes. Although chronic opioid exposure induces widespread neuroadaptations, the contribution of brain-derived EVs (BDEVs) to these processes remains largely unknown. Here, we isolated BDEVs from the prefrontal cortex of rats chronically exposed to morphine and performed integrative transcriptomic and proteomic analyses of their molecular cargo. Total RNA sequencing combined with unbiased proteomics revealed that morphine profoundly reprograms the BDEV transcriptome and proteome, enriching pathways related to synaptic plasticity, endoplasmic reticulum (ER) stress, mitochondrial dysfunction, and neurodegeneration. Among the most prominent alterations, the synaptic regulator ARC was consistently modulated at the mRNA level, while the ER stress marker HSPA5 was altered at both mRNA and protein levels. Functional assays further demonstrated that BDEVs derived from morphine-treated rats were sufficient to reconfigure transcriptional programs in naive cortical neurons, affecting genes associated with synaptic remodeling and excitability. Collectively, these findings provide the first evidence that chronic opioid exposure reprograms BDEV cargo in a brain region critical for addiction and that these vesicles can propagate transcriptional reorganization to recipient neurons. BDEVs thus emerge as active mediators of morphine-induced neuroadaptations and as potential targets for biomarker discovery and therapeutic intervention in opioid use disorder.

neuroscience↗

bioRxiv2025

Geographical variation drives adaptive equilibrium of the P. falciparum sickle-associated mutations

The recent discovery of genetic mutations in Plasmodium falciparum--the most lethal malaria parasite--that enable it to overcome the protective effects of sickle cell trait, raises fundamental questions about the underlying biological and evolutionary interactions. Here we develop a geostatistical model to compare sickle haemoglobin genotype frequencies to the Plasmodium falciparum sickle-associated alleles across global populations, and find a robust association at multiple geographical scales, implying that sickle drives positive selection for these parasite mutations. A model of parasite evolution and an analysis of local haplotype patterns suggest that key features of these mutations - that they are polymorphic in all African populations and are mutually correlated despite lying in different genome regions - are caused by geographical variation in selection pressure, and that the alleles may have been maintained by balancing selection over timescales comparable to the age of the sickle mutation itself. The predicted impact of this host-parasite interaction on disease outcomes varies widely across populations, and functional data are needed to discover the biological mechanisms involved.

genetics↗

bioRxiv2025

Cellular NAD+ availability and redox state constrain developmental speed in the Drosophila eye

The cellular and biochemical processes that limit the speed at which embryos develop, tissues form, and cells differentiate remain largely unknown. Using the speed of progression of a differentiation front in the developing eye of Drosophila as a proxy for developmental speed, we identified genetic perturbations that slowed down the progression of this front. Inhibiting the Electron Transport Chain (ETC), and more generally energy production in mitochondria, resulted in reduced developmental speed. Defective ETC activity led to increased NADH/NAD+ ratio whereas ATP levels remained constant due to a compensatory increase in glycolysis. Using targeted perturbations, we found that the metabolic state of the cells ahead of and/or at the moving front of differentiation determined its speed. Genetic and diet-based perturbations of the NAD+ metabolism pathway indicated that developmental speed was limited by NAD+ availability in these cells. Thus, developmental speed appeared to be constrained by the cellular redox and the demand for NAD+ in Drosophila.

developmental biology↗

bioRxiv2025

Multiomic Analysis Reveals Molecular Pathways Associated with Intestinal Aggregation of α-Synuclein

Aggregates of the protein -synuclein may initially form in the gut before propagating to the brain in Parkinsons disease. Indeed, our prior work supports that enteroendocrine cells, specialized intestinal epithelial cells, could play a key role in the development of this disease. Enteroendocrine cells natively express -synuclein and synapse with enteric neurons as well as the vagus nerve. Severing the vagus nerve reduces the load of -synuclein aggregates in the brain, suggesting that this nerve is a conduit for gut-to-brain spread. Enteroendocrine cells line the gut lumen, as such, they are in constant contact with metabolites of the gut microbiota. We previously found that when enteroendocrine cells are exposed to nitrite--a potent oxidant produced by gut bacterial Enterobacteriaceae--a biochemical pathway is initiated that results in -synuclein aggregation. Here, we determined that dopamine production is critical to this mechanism of nitrite-induced -synuclein aggregation. Using enteroendocrine cells, we modulated dopamine biosynthesis and profiled the cellular proteome and lipidome. Proteomic signatures in dopamine-free cells were distinctly different than in enteroendocrine cells, highlighting pathways relevant to intestinal development of Parkinsons disease. Intriguingly, we observed that enteroendocrine cells maintain viability upon exposure to nitrite and in the presence of -synuclein aggregates. This cellular robustness suggests that dopamine-producing enteroendocrine cells may be a reservoir of toxic -synuclein aggregates, which can spread through a prion-like process. As a possible antidote, our findings show that benserazide--a chemical inhibitor of dopamine biosynthesis--limits formation of these aggregates in enteroendocrine cells. These studies lay a foundation for mechanistically informed therapeutic targets to prevent intestinal formation of -synuclein aggregates before they spread to the brain. For Table of Contents Use Only O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/672706v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@1668b83org.highwire.dtl.DTLVardef@1515382org.highwire.dtl.DTLVardef@41b1d2org.highwire.dtl.DTLVardef@1018049_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

BioinAI: a general bioinformatic framework for multi-level transcriptomic data analysis using multiple semi-agents

Clinical and biological insights from large-scale transcriptomic data are often limited by technical variability and analytical complexity. Here, we introduce BioinAI, a general bioinformatic framework designed for multi-level transcriptomic data analysis. As part of the BioinAI framework, two algorithms named DeepAdvancer and stNiche were developed to improve data integration and analytical efficiency. DeepAdvancer leverages a class-aware adversarial autoencoder to reconstruct gene-expression profiles from 49,738 samples across 131 skin conditions. These profiles revealed a conserved inflammatory axis and a transcriptomic continuum which link diverse diseases through shared immune responses and structural programs. stNiche leverages spatial graph networks and symmetry-aware matching to identify functional cellular niches and reveals microstructural alterations across development, homeostasis, and disease. For instance, it identified a fibroblast-immune niche surrounding hair follicles in healthy skin, which disappears in pathological states. In addition, BioinAI provides a user-friendly online analysis platform powered by multiple semi-agents (www.bioinai.com), significantly facilitating the extraction of biological insights to advance scientific research.

bioinformatics↗

bioRxiv2025

Genetically encoded assembly recorder temporally resolves cellular histories in cellulo and in vivo

Mapping cellular activity with high spatiotemporal precision in complex tissues is essential for understanding organ physiology, pathology, and regenerative processes. Here, we introduce Granularly Expanding Memory for Intracellular Narrative Integration (GEMINI), an in cellulo recording platform that leverages a computationally designed protein assembly as an intracellular memory device to record individual cells activity histories. GEMINI grows predictably within live cells with minimal interference to cellular functions, capturing cellular activities as tree-ring-like fluorescent patterns in the expanding scaffolds for imaging-based retrospective readout. Absolute chronological information of activity histories was attainable with hour-level accuracy through the integration of fiducial timestamps. GEMINI effectively resolved differential NF{kappa}B-mediated transcriptional changes, distinguishing fast dynamics of 15 minutes, and providing quantifiable signal amplitudes. In a xenograft model, GEMINI recorded inflammation-induced signaling dynamics across tissue with cellular resolution, revealing spatial heterogeneity linked to vascular density. When expressed in the mouse brain, GEMINI exhibited negligible impact on neuronal survival, with animals maintaining normal motor and cognitive behaviors. In physiological contexts, GEMINI successfully resolved both transcriptional changes and activity patterns of neurons in the brain. Together, GEMINI provides a robust and generalizable means for spatiotemporal mapping of cell dynamics underlying physiological and pathological processes in both culture and intact tissues.

bioengineering↗

bioRxiv2025

Rethinking Kalman Filters for Motor Brain-Machine Interface: The Fundamental Limitations and A Perspective Shift

The Kalman filter has been introduced to the motor brain-machine interface (BMI) field for over 20 years and remains one of the most widely used models due to its simple and intuitive nature. However, this paper demonstrates that the application of Kalman filters in the BMI field violates the models own assumptions and numerous neuroscience principles, resulting in six critical limitations: (1) the observation matrix mapping from kinematics to neural activity causes individual neurons to be modeled independently, ignoring neural population activity; aligned kinematic and neural activity sequences fail to capture preparatory information; (3) the presence of behaviorally irrelevant neural activity causes observation weights to be excessively underestimated; (4) noise in the observation matrix renders posterior covariance estimates biased; (5) Kalman gain computation in observation space leads to repeated noise accumulation and (6) computational inefficiency. All these problems can be resolved through a simple perspective shift: separating the decoder from the Kalman filter and treating its predicted kinematics as the Kalman filters observation rather than neural activity. Experiments conducted on CRCNS-recorded monkey dorsal premotor area and primary motor signals performing computer cursor control tasks validate the existence of the six limitations and their violations of neuroscience principles, while demonstrating the superiority of the improved Kalman filter across all evaluated metrics.

neuroscience↗

bioRxiv2025

Optimized large-scale longitudinal biorepository of gastroesophageal adenocarcinoma patient-derived organoids: High-fidelity models for personalized treatment to overcome resistance.

A major limitation in studying gastroesophageal adenocarcinoma (GEA) has been the lack of reliable models that represent the diseases complexity. We present lessons learned from a comprehensive large-scale biobanking effort combining traditional sample collection with several in vitro models including 3-dimensional patient-derived organoids (PDOs), 2-dimensional cancer-associated fibroblasts (CAFs), tumor-infiltrating lymphocytes (TILs) and/or in vivo xenografts. This initiative started in 2018, integrating multiple advanced ex-vivo models such as PDOs, patient-derived xenografts (PDXs) and organoids (PDXOs). This unique resource now includes tumor avatars from over 380 consented patients, making it the largest living GEA biobank in the world. We achieved > 90% success rate in creating per-patient models, including 227 tumor-derived and 203 neighboring normal PDOs. These organoids accurately mirror key features of the original tumors, such as their histology (e.g. microsatellite instability), mutations, and drug response, across treatment points. Notably, PDOs can predict individual patient responses to chemotherapy within five weeks, underscoring their clinical relevance. Furthermore, high-throughput drug screening on PDO subsets generates personalized chemosensitivity profiles for 22 drugs. Through a process of continued refinement of culture techniques and tumor sampling approach, our large-scale comprehensive collection of GEA avatars represents a unique and valuable preclinical experimental resource for precision oncology. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/663874v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@f8a032org.highwire.dtl.DTLVardef@dd6fa3org.highwire.dtl.DTLVardef@1cc558corg.highwire.dtl.DTLVardef@492a5_HPS_FORMAT_FIGEXP M_FIG Schematic depiction of GEA live-banking workflow C_FIG

cancer biology↗

bioRxiv2025

Molecular Mechanisms of DNMT3A-3L-Mediated de novo DNA Methylation on Chromatin

De novo DNA methylation is a fundamental epigenetic process essential for early development. It is mediated by DNA methyltransferase DNMT3A and DNMT3B, in cooperation with catalytically inactive DNMT3L. Abnormal DNA methylation contributes to genomic instability and oncogenesis, yet the mechanisms governing its establishment and regulation remain unclear. Here, we present high-resolution cryo-EM structures of the nucleosome-bound full-length DNMT3A2-3L and its oligomeric assemblies in the nucleosome-free state. Strikingly, DNMT3L C-terminal "Switching Helix" displayed a distinct conformation with a 180{degrees} rotational difference compared to its DNMT3B3 counterpart in the presence of nucleosome, preventing direct interactions with the nucleosome acidic patch. Instead, DNMT3L ADD domain promotes nucleosome binding, while DNMT3A PWWP domain inhibits it, indicating multi-layer regulation. Additionally, the novel oligomeric arrangement of DNMT3A2-3L in nucleosome-free states highlights its dynamic assembly and potential allosteric regulation. Furthermore, we identified the critical role of DNMT3L as a sensor of histone modifications, guiding the complexs chromatin interaction. These findings uncover a previously unknown mechanism by which DNMT3A-3L mediates de novo DNA methylation on chromatin through complex reorganization, histone tail sensing, dynamic DNA search, and nucleosome engagement, providing key insights into epigenetic regulation.

molecular biology↗

bioRxiv2025

Integrative cross-sample alignment and spatially differential gene analysis for spatial transcriptomics

Spatial transcriptomics (ST) technologies offer rich spatial context for gene expression, with varying spatial resolutions and gene coverages. However, aligning and comparing multiple ST slices, whether derived from the same or different platforms, remains challenging due to nonlinear distortions and limited spatial overlap caused by tissue processing. We present CODA, an integrative framework for CrOss-sample alignment and spatially Differential gene Analysis. CODA first learns a shared low-dimensional latent feature space across samples. Within the latent space, CODA performs global rigid alignment, applies transformer-based feature matching to identify common spatial domains, and utilizes local nonlinear refinements via large deformation diffeomorphic metric mapping, enabling a robust cross-sample comparison and extraction of spatial gene expression patterns. Benchmarking across various ST platforms demonstrates that CODA outperforms the existing methods in alignment accuracy, computational efficiency, and memory usage. Applications to vascular and brain datasets shows CODAs ability to uncover spatially informative genes associated with disease and sleep regulation. These results highlight CODAs broad applicability and effectiveness in ST analysis.

bioinformatics↗

bioRxiv2025

Disentangling the cost of gene expression

Gene expression is essential for biological functions but also incurs a fitness cost. Although the fitness cost can be experimentally measured as the relative reduction in growth rate, it remains unclear how the cost quantitatively depends on different limiting factors. In this work, we establish a resource competition model and disentangle the fitness cost into components arising from limiting resources, including ribosomes, RNA polymerases, and transcription factors. Comparing our model predictions with experimental data for Saccharomyces cerevisiae, we demonstrate that ribosome competition dominates the translation cost, and that transcription factor competition dominates the transcription cost. Our model reveals that the fitness costs originate from the processes of transcription and translation, rather than from the products. The model also systematically connects the fitness cost to genetic and environmental properties, making quantitative predictions consistent with various experimental observations. Our work establishes a systematic framework for gene expression cost, guiding synthetic biology to optimize genetic design.

systems biology↗

bioRxiv2025

A genetically encoded fluorescent sensor for monitoring spatiotemporal prostaglandin E2 dynamics in vivo

Prostaglandin E2 (PGE2) is an important lipid signaling molecule that regulates a wide range of physiological and pathological processes. However, its dynamics during these processes are largely unknown due to the lack of tools to directly visualize PGE2 with high spatiotemporal resolution. Here, we developed and characterized a genetically encoded PGE2 sensor, which we call GRABPGE2-1.0 (PGE2-1.0), that has high specificity for PGE2, nanomolar affinity, rapid kinetics, and high spatial resolution when expressed both in vitro and in vivo. Using fiber-photometry recordings, we found that PGE2-1.0 can reliably monitor endogenous PGE2 dynamics in the preoptic area in the brain during acute inflammation. The wide-field in vivo imaging with PGE2-1.0 reveals spatial heterogeneity in cortex-wide PGE2 dynamics during acute inflammation and seizure. Thus, our PGE2-1.0 sensor can be used to detect endogenous PGE2 dynamics with high spatiotemporal resolution, providing a robust tool for studying PGE2 under specific physiological and pathological conditions.

neuroscience↗

bioRxiv2025

An Adipose mTORC1 Effector Links Nutrient-induced Ribosomal Protein Translation to Lifespan in Drosophila

Mechanistic target of rapamycin complex 1 (mTORC1) senses nutrient availability to orchestrate metabolic processes critical for physiological homeostasis and organismal ageing1. While mTORC1 preferentially regulates the translation of 5'-terminal oligopyrimidine (TOP) motif-containing mRNAs that predominantly encode ribosomal proteins (RPs) via the translational repressor 4E-BP 2, this mTORC1 function is resistant to rapamycin inhibition 3. TOP mRNAs are exceptionally abundant, thus imposing a major translational burden on cells; yet how their translation is physiologically tuned and linked to longevity remain unexplored. Here we identify Lsp2, originally known as a storage protein 4, as an adipose effector of mTORC1 that modulates lifespan in Drosophila. Lsp2 is induced by essential amino acids (EAAs) via mTORC1. Genetic ablation of Lsp2 to blunt organismal response to protein diets drives robust lifespan extension without compromising key life-history traits such as reproduction. Translatomic profiling reveals that loss of Lsp2 selectively reduces global TOP mRNA translation in a 4E-BP-dependent manner, thereby extending lifespan via a mechanism distinct from rapamycin inhibition that fails to reduce 4E-BP phosphorylation in vivo. Finally, Lsp2 adipokine promotes 4E-BP phosphorylation and acts systemically across tissues to shape the lifespan responses to dietary protein. Collectively, our findings establish Lsp2 as a novel translational regulator of TOP genes that mechanistically couples physiological ribosomal protein synthesis with organismal longevity.

physiology↗

bioRxiv2025

Mitochondrial presequences harbor variable strengths to maintain organellar function

Hundreds of mitochondrial-destined proteins rely on N-terminal presequences for organellar targeting and import. While generally described as positively charged amphipathic helices, presequences lack a consensus motif and thus likely promote the import of proteins into mitochondria with variable efficiencies. Indeed, the concept of presequence "strength" critically underlies biological models such as stress sensing, yet a quantitative analysis of what dictates "strong" versus "weak" presequences is lacking. Furthermore, the extent to which presequence strength affects mitochondrial function and cellular fitness remains unclear. Here, we capitalize on the high-throughput and kinetic nature of the MitoLuc mitochondrial protein import assay to quantify multiple aspects of presequence strength. We find that select presequences, including those that regulate the mitochondrial unfolded protein response (UPRmt), are sufficient to impart differential import efficiencies during mitochondrial uncoupling. Surprisingly, we find that presequences beyond those classically associated with stress signaling promote highly variable import efficiency in stressed and basal (i.e., non-stressed) conditions in vitro, suggesting that presequence strength may influence a broader array of processes than currently appreciated. We exploit this variability to demonstrate that only presequences that promote robust import in vitro can fully rescue defects in respiratory growth in Complex IV-deficient yeast, suggesting that presequence strength dictates metabolic potential. Collectively, our findings demonstrate that presequence strength can describe numerous metrics, such as total imported protein, maximal import velocity, or sensitivity to uncoupling, suggesting that the annotation of presequences as "weak" versus "strong" requires more nuanced characterization than is typically performed. Importantly, we find that such variability in presequence strength meaningfully affects cellular fitness in processes beyond stress signaling, suggesting that organisms may broadly exploit presequence strength to fine-tune mitochondrial import and thus organellar homeostasis.

biochemistry↗

bioRxiv2025

NUSAP1 regulates mitotic processes via KIF2C interaction and AURKA phosphorylation in primary microcephaly

Primary microcephaly (PM) is a neurodevelopmental disorder characterized by a significantly smaller head than normal. Despite the identification of several genes associated with PM subtypes, the etiology remains unclear in a significant proportion of patients. Here, we reported two de novo nonsense mutations in the NUSAP1 gene identified in two independent PM families: c.1209 C>G (p.Tyr403*) and c.1213C>T (p.Gln405*). Nusap1-edited mouse models, designed to mimic Human NUSAP1 mutations, replicated the microcephaly phenotype, characterized by a small brain and thinner cerebral cortex. We demonstrated that Nusap1 was specifically expressed in neural stem/progenitor cells (NSPCs), and the number of NSPCs was significantly reduced in Nusap1-edited mice. In vitro experiments revealed that NUSAP1 mutations disrupted mitotic metaphase chromosome alignment, increased polyploidy, induced cell cycle arrest, and promoted apoptosis. Co-IP confirmed direct interactions between NUSAP1 and KIF2C, and showed that truncating mutations impaired their binding. Furthermore, NUSAP1 rescued the cell cycle arrest and increased apoptosis caused by KIF2C overexpression in NUSAP1 KO HEK293T cells, whereas the mutant truncated protein failed to exert such a rescue effect. We also uncovered an interaction between NUSAP1 and Aurora kinase A (AURKA). Intriguingly, subsequent experiments revealed that AURKA-mediated phosphorylation of NUSAP1 modulates its binding affinity to KIF2C. In conclusion, our findings established NUSAP1 as a novel pathogenic gene for PM. We proposed a model in which AURKA-mediated phosphorylation of NUSAP1 regulates its interaction with KIF2C, balancing spindle microtubule stability and depolymerization to ensure proper sister chromatid segregation. Disruptions in this pathway impair NSPCs mitosis, thereby affecting neocortical development.

genetics↗

bioRxiv2025

Multiplexed, scalable analog recording of gene regulation dynamics over weeks using intracellular protein tapes

Gene expression is constantly regulated by gene regulatory networks that consist of multiple regulatory components to mediate cellular functions. An ideal tool for analyzing gene regulation processes would provide simultaneous measurements of the dynamics of many components in the gene regulatory network, but existing methodologies fall short of simultaneously tracking the dynamics of components over long periods of time. Here, we present CytoTape--a genetically encoded, modular, and scalable analog recorder for continuous, multiplexed in situ recording of gene regulation dynamics over multiple days and weeks at single-cell resolution. CytoTape consists of a flexible, thread-like, elongating intracellular protein self-assembly engineered via AI-guided rational design. Gene regulation dynamics, together with timestamps for reconstruction of the continuous time axis, are directly encoded via distinct molecular tags distributed along single CytoTape assemblies in live cells, to be readout at scale after fixation via standard immunofluorescence imaging. CytoTape recorders are modularly designed to record gene expression driven by a variety of activity-dependent promoters. We demonstrated the utility of CytoTape in mammalian embryonic kidney cells, cancer cells, glial cells, and neurons, achieving simultaneous recording of five cell plasticity-associated transcription factor activities and immediate early gene expression levels, namely CREB, c-fos, Arc, Egr1, and Npas4 activities, within single cells in a spatiotemporally scalable manner. CytoTape revealed complex waveforms and nonlinear temporal couplings among these cellular activities, enabling investigations of how gene regulation histories and intrinsic signaling states shape transcriptional logics. We envision CytoTape to have broad applications in both basic and disease-related cell biology research.

synthetic biology↗

bioRxiv2025

Development and evaluation of screwworm, Cochliomyia hominivorax, transgenic sexing strains with embryonic gene promoters for a genetic control program

The New World screwworm, Cochliomyia hominivorax, was eradicated from North and Central America through the first application of the sterile insect technique. The sterile screwworm adult fly releases were mixed sex, but experience with other flies suggests that releasing only males could be up to five times more effective. Here we describe screwworm transgenic sexing strains (TSSs) with expected embryo lethality developed using the Tetracycline-off (Tet-off) system with the Lucilia cuprina nullo (DR6) or C. macellaria CG14427 (DR7) gene promoters and a tTA activated effector to promote female lethality. The TSSs expressed tTA highest in 2-3 h embryos and low in larvae and adults. However, most strains showed high expression in pupae. Evaluation on two doxycycline (Dox) regimens found that inclusion of Dox in the last larval feeding rescued females of the subsequent generation, likely by maternal Dox transfer to embryos. All TSSs produced only males on a reduced Dox feeding regimen but the female lethal period for the DR6 TSS was too late in development to save diet costs. Production parameters were met by all strains in colony, but strains had lower male fly survival than current production strains after removing Dox. In non-competitive mating success trials DR6 strains performed poorly, but DR7 performed equally to production strain males. However, males from all TSSs faired poorly in mating competition tests against production males. Our study highlights the importance of tightly-regulated gene promoters and suitable antibotics feeding schemes for the development and evaluation of TSSs based on Tet-off system.

biochemistry↗

bioRxiv2025

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↗