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Eum, J.

Publications and source records attributed to Eum, J..

4 recordsLinked to original sources

Transcriptional Mapping of Neuro-Immune Interactions during Homeostasis and HIV infection using Microglia-containing Human Cerebral Assembloids

BackgroundA significant number of people with HIV-1 still experience neurocognitive impairments (NCI), despite effective antiretroviral treatment. HIV-NCI is diverse and multifactorial, with mechanisms that cause its development and progression still not fully understood. We examined early HIV-related changes in brain stability and studied neuroimmune interactions at the single-cell level to better understand how NCI develops. MethodsTo model changes in brain homeostasis, we developed an advanced human iPSC-derived 3D cerebral assembloid model that includes microglia, by co-developing neural progenitor cells with tdTomato-tagged and CD34+ cell-derived microglial precursors. Assembloids were infected with a macrophage R5-tropic HIV-1 strain NL-AD8. Viral spread was measured using a proviral DNA assay, qPCR for HIV RNA, and 3D immunostaining for Tat protein. Single-cell transcriptomics with tdTomato lineage tracing revealed HIV-1 induced disturbances and cell-type-specific responses. The niche net algorithm was used to identify ligand-receptor interactions between microglia and the brain microenvironment during homeostasis and HIV infection. ResultsHighly ramified tdTomato+ IBA-1+ microglia were evenly distributed throughout the assembloids within 15 days of culture. Single-cell transcriptomics identified microglia, excitatory/inhibitory neurons, astrocytes, and oligodendrocyte precursors within the assembloids. Neurons in microglia-containing assembloids upregulated genes related to neurotransmission, synaptogenesis, and neuronal development compared to neurons in organoids without microglia. Niche net analysis showed microglia-derived neurotropic ligands supported neuronal and astrocytic differentiation. The R5-tropic HIV-1 specifically targeted microglia, inducing a reactive phenotype that transmitted interferon and pro-inflammatory signals to nearby cells and increased MHC-I antigen-presentation genes. Notably, neuroprotective ligands from non-glial cells and bystander microglia in the assembloids attempted to counteract HIV-related inflammation and promote neural repair. ConclusionsOur microglia-containing assembloid model replicates in vivo neurodevelopmental interactions, allowing high-resolution analysis of homeostatic and HIV-induced responses across different brain cell types. Homeostatic microglia support neuronal health, while HIV infection triggers a reactive state that spreads inflammatory signals within the brain environment. The presence of multiple glial and non-glial populations uncovered previously unknown crosstalk, including bystander microglial phenotypes and neuroprotective signaling mechanisms that counteract inflammation. These findings emphasize early HIV responses that balance injury and adaptation, offering insights for developing therapies that target microglial activation, boost neuroprotection, and address HIV reservoirs in the brain.

microbiology↗

Apparent generalism in Pseudomonas aeruginosa is underpinned by Convergent, Cryptic Specialization

Microbes that span environmental reservoirs and diverse human infections are often described as generalists or as ubiquitous, yet ecological theory predicts generalism should be unstable when specialists outperform within any one niche. Here we show that Pseudomonas aeruginosas apparent ecological breadth reflects convergent, cryptic specialism (CCS) - repeatable, environment-linked genomic differentiation that is not confined to deep lineages - rather than strict specialism or generalism. An analysis of 6,627 genomes with source-environment metadata reveals that environments are broadly dispersed across the phylogeny, inconsistent with lineage-locked specialization. Despite this shallow phylogenetic structure, genome content predicted environment-of-isolation across nine genotype-discernible environments, including under cross-validation that blocks phylogenetic relatedness. Interpretable feature profiles recovered both shared and environment-specific signals, including genomic signatures distinguishing distinct chronic and acute human infections. Finally, phenotypes from 47 diverse strains clustered more strongly by environmental source than by phylogenetic relatedness. Together, these results indicate that widely distributed bacterial "generalists" can comprise mixtures of cryptic, convergent specialists. By mapping genotype-defined ecological structure, our approach can identify when apparent generalists harbor hidden structure relevant to infection risk.

microbiology↗

Autism-specific PTEN p.I135L mutation and an autism genetic background combine to dysregulate cortical neurogenesis

Alterations in cortical neurogenesis are implicated in neurodevelopmental disorders including autism spectrum disorders (ASDs). The contribution of genetic backgrounds, in additional to ASD risk genes, on cortical neurogenesis remain understudied. Here, using isogenic induced pluripotent stem cell (iPSC)-derived neural progenitor cells (NPCs) and cortical organoid models, we report that a heterozygous PTEN p.I135L mutation found in an ASD patient with macrocephaly activates PI3K/AKT and dysregulates cortical neurogenesis in an ASD genetic background-dependent fashion. Transcriptome analysis at both bulk and single cell level revealed PTEN p.I135L mutation and ASD genetic background affected genes involved in neurogenesis, neural development and synapse signaling. We also found that this PTEN p.I135L mutation led to overproduction of NPC subtypes as well as neuronal subtypes including both deep and upper layer neurons in its ASD background, but not when introduced into a control genetic background. These findings provide experimental evidence that both a PTEN p.I135L mutation and ASD genetic background contribute to cellular features consistent with ASD associated with macrocephaly.

genetics↗

Pathogenic neutrophilia drives acute respiratory distress syndrome in severe COVID-19 patients

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the ensuing COVID-19 pandemic have caused [~]40 million cases and over 648,000 deaths in the United States alone. Troubling disparities in COVID-19-associated mortality emerged early, with nearly 70% of deaths confined to Black/African-American (AA) patients in some areas, yet targeted studies within this demographic are scant. Multi-omics single-cell analyses of immune profiles from airways and matching blood samples of Black/AA patients revealed low viral load, yet pronounced and persistent pulmonary neutrophilia with advanced features of cytokine release syndrome and acute respiratory distress syndrome (ARDS), including exacerbated production of IL-8, IL-1{beta}, IL-6, and CCL3/4 along with elevated levels of neutrophil elastase and myeloperoxidase. Circulating S100A12+/IFITM2+ mature neutrophils are recruited via the IL-8/CXCR2 axis, which emerges as a potential therapeutic target to reduce pathogenic neutrophilia and constrain ARDS in severe COVID-19. Graphical AbstractThe lung pathology due to severe COVID-19 is marked by a perpetual pathogenic neutrophilia, leading to acute respiratory distress syndrome (ARDS) even in the absence of viral burden. Circulating mature neutrophils are recruited to the airways via IL-8 (CXCL8)/CXCR2 chemotaxis. Recently migrated neutrophils further differentiate into a transcriptionally active and hyperinflammatory state, with an exacerbated expression of IL-8 (CXCL8), IL-1{beta} (IL1B), CCL3, CCL4, neutrophil elastase (NE), and myeloperoxidase (MPO) activity. Airway neutrophils and recruited inflammatory monocytes further increase their production of IL-8 (CXCL8), perpetuating lung neutrophilia in a feedforward loop. MdCs and T cells produce IL-1{beta} and TNF, driving neutrophils reprogramming and survival. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/446468v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@81fd3aorg.highwire.dtl.DTLVardef@181e63org.highwire.dtl.DTLVardef@172fedcorg.highwire.dtl.DTLVardef@ba55a7_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗