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Kim, H.

Publications and source records attributed to Kim, H..

At least 181 records · Page 10Linked to original sources

The Role of Paraventricular Nucleus of Thalamus in Sleep Disturbance Induced by Withdrawal from Repeated Ethanol Exposure

Sleep disturbance is known to be comorbid with withdrawal from repeated ethanol exposure and could be a negative reinforcement for the majority of people with alcohol use disorder (AUD). The paraventricular nucleus of the thalamus (PVT) has been highlighted for its function in integrating arousal states and associated modulation in sleep homeostasis. However, there is limited understanding of the involvement of PVT neurons in regulating sleep patterns, especially during withdrawal from chronic ethanol exposure. In this study, we investigated the potential function of the PVT in sleep disturbance during ethanol withdrawal using electrophysiology, in vivo calcium imaging, biochemical, and chemogenetic approaches. At 24 hours post-withdrawal from chronic intermittent ethanol exposure (CIE) for four weeks, there is an increase in wake time and a decrease in non-rapid eye movement (NREM) sleep. The calcium transient levels in the PVT neurons are positively correlated with the transition from sleep to wakefulness. CIE elevates the PVT neuronal activity in a subregion-specific manner, resulting in a significant rise in cFos levels in the anterior PVT (aPVT). Temporal suppression of aPVT excitatory neurons via chemogenetics ameliorates the disturbance in sleep patterns generated by CIE. The aPVT has a notable distinction in the expression of the m-type potassium channel subunit, KCNQ2, with a higher expression level compared to the posterior PVT (pPVT). While the expression of KCNQ2 in the aPVT is reduced in CIE mice, the restoration of KCNQ2 expression using viral gene transfer within the aPVT alleviates the sleep disturbances produced by CIE. This data indicates a significant role of the PVT in sleep disturbance during ethanol withdrawal, which may partially be due to the downregulation of M-channels, hence underscoring M-channels in the PVT as a potential therapeutic target for sleep disturbance in alcohol use disorder.

neuroscience↗

SLAB: Simultaneous Labeling And Binding affinity prediction for protein-ligand structures

Machine learning models are often used as scoring functions to predict the binding affinity of a protein-ligand complex. These models are trained with limited amounts of data with experimentally measured binding affinity values. A large number of compounds are labeled inactive throughs single-concentration screens without measuring binding affinities. These inactive compounds, along with the active ones, can be used to train binary classification models, while regression models are trained using compounds with binding affinities only. However, the classification and regression tasks are often handled separately, without sharing the learned feature representations. In this paper, we propose a novel model architecture that jointly performs regression and classification objectives, aiming to maximize data utilization and improve predictive performance by leveraging two complementary tasks. In our setup, the regression yields the binding affinity, whereas the classification task yields the label as active or inactive. We demonstrate our method using PDBbind, the standard 3D structure database, as well as a dataset of flavivirus protease compounds with binding affinity data. Our experiments show that the new joint training strategy improves the accuracy of the model, increasing applicability in various practical drug screening scenarios.

pharmacology and toxicology↗

Bazedoxifene rescues sexually dimorphic autistic-like abnormalities in mice carrying a biallelic MDGA1 mutation

In the accompanying study, we describe two pairs of MDGA1 missense mutations (Val116Met/Ala688Val and Tyr635Cys/Glu756Gln) from two patients with autism spectrum disorders (ASDs) and how these mutations exert distinct abnormalities in biological processes during central nervous system development. Here, we generated knockin (KI) mice harboring the murine version of Tyr635Cys/Glu756Gln MDGA1 (Mdga1Y636C/E751Q) and performed extensive behavioral analyses. Male KI mouse pups and adults exhibited impaired ultrasonic vocalizations and sensorimotor gating (ASD-relevant behavioral deficits), and thus exhibited phenotypes different from those of male Mdga1 conditional knockout (cKO) mice. In contrast, adult female KI mice did not exhibit a range of ASD-like behavioral abnormalities. Electrophysiological analyses performed using both juvenile and adult Mdga1Y636C/E751Q mice revealed sexually dimorphic and developmental stage-dependent compromises of GABAergic synaptic inhibition. In addition, proteomics analyses showed that the phospho-proteomic phenotypes differed between Mdga1Y636C/E751Q and Mdga1-cKO mice. Treatment of male Mdga1Y636C/E751Q KI mice with the FDA-approved estrogen receptor modulator, bazedoxifene, restores the KI-related molecular, GABAergic synapse, and behavioral changes. Collectively, our results suggest a novel treatment strategy for ASDs that present developmentally regulated and/or sexually dimorphic features.

neuroscience↗

Effect of Chronic Stress on Whole Blood Transcriptome: A Meta-Analysis of Publicly Available Datasets from Rodent Models

BackgroundChronic stress increases risk for neuropsychiatric disorders in humans. By modeling stress-induced changes in animals, we may improve diagnosis or treatment of these disorders. Successful translation benefits from studies with sufficient statistical power and outcome measurements that can be directly compared across species. We performed a meta-analysis to examine the impact of chronic stress on the whole blood transcriptome. MethodsDatasets were systematically identified in Gemma, a database of reprocessed public transcriptional profiling studies; datasets GSE68076, GSE72262, and GSE84185 met inclusion/exclusion parameters. Each study exposed eight-week old mice to chronic stress (5-10 days social defeat stress or 6-8 weeks chronic mild stress). The final sample size was n=92 (n=45 Non-Stress/n=47 Stress). Stress-related differential expression in each dataset was quantified using the Limma pipeline followed by empirical Bayes moderation. For the 9,219 genes represented in all three datasets, we ran a meta-analysis of Log(2) Fold Changes using a random effects model and corrected for false discovery rate (FDR). Functional patterns were assessed with fast Gene Set Enrichment Analysis. Cell type specific enrichment for each of the differentially expressed genes was further explored using a public 10x genomics scRNA-Seq dataset from mouse peripheral blood mononuclear cells. ResultsFindings included 23 downregulated and 16 upregulated transcripts in stress-exposed mice (FDR<0.05). Results indicated a down-regulation in gene sets related to B cells, immune response, DNA and chromatin regulation, ribosomal activity, translation, and catabolic cellular processes. Upregulated gene sets related to erythrocytes and oxygen binding. ConclusionOur results provide molecular insight into stress-related immune dysregulation and add weight to the hypothesis that environmental stress escalates cellular aging, supporting the use of blood transcriptome as a bridge between human and rodent models. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/657043v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@161fc2eorg.highwire.dtl.DTLVardef@1f358b9org.highwire.dtl.DTLVardef@145ef33org.highwire.dtl.DTLVardef@5b1169_HPS_FORMAT_FIGEXP M_FIG C_FIG Key pointsSuccessful translational research benefits from studies with outcome measurements that can be directly compared across species and sufficient statistical power. The present report is a meta-analysis of three mouse experiments examining the impact of chronic stress on the whole blood transcriptome. Our results provide insight into stress-related immune dysregulation and add weight to the hypothesis that environmental stress escalates cellular aging. These findings illustrate the utility of the blood transcriptome as a bridge between human and rodent models.

genomics↗

Event-Related Spatio-Spectral Perturbation (ERSSP): A Scalp-Wide EEG Analysis Framework for Capturing Extralemniscal Thalamocortical Activity, Validated Using a Fragile X Syndrome Model

The extralemniscal thalamocortical pathway regulates large-scale modulation of cortical states but remains inaccessible to traditional EEG analysis due to its diffuse, variable, and asynchronous nature. To address this, we introduce the Event-Related Spatio-Spectral Perturbation (ERSSP) framework, which quantifies spatially distributed time-frequency responses. ERSSP summarizes the number of channels exhibiting significant spectral perturbations, capturing diffuse cortical dynamics from sensor-space EEG. We validated this approach using a passive auditory habituation task in individuals with Fragile X Syndrome (FXS), a condition marked by disrupted thalamocortical modulation. ERSSP revealed enhanced spatial extent of power increases (but not phase-locking) in FXS compared to controls. Results also showed expected gender differences, further supporting biological sensitivity of ERSSP. ERSSP provides a conceptually simple and computationally efficient method for quantifying broadly distributed sensory modulation and may enable new insights into thalamocortical function in both basic and clinical neuroscience.

neuroscience↗

Characterizing antibodies binding to the same epitope reveals limited contribution by heavy chain CDR3 sequences relative to other CDRs

The antigen specificity of antibodies is defined mainly by their highly-variable complementarity-determining regions (CDRs), of which the CDR3 is considered to be the most important. Similar antibodies are expected to bind the same epitope on an antigen, but how this similarity should be quantified is unclear. Here, we utilized a large body of publicly available data to identify features that are most informative in predicting if two antibodies are likely to bind to the same epitope. We examined features such as pairwise sequence identities, CDR structural similarity, and geometrical similarity of antibody paratopes. We found that, for antibodies with high overall sequence similarity, the CDR sequence identity alone is sufficient to predict if a pair of antibodies binds to the same epitope. Strikingly, the sequence identity of CDR1 and CDR2 had as much or more predictive power than CDR3, which is commonly thought of as the main determinant of antibody specificity. In addition, for antibody pairs with lower overall sequence identity, including structural information led to significant improvements in predictive performance. Guided by these results, we developed BCRMatch (https://github.com/IEDB/BCRMatch) which uses an ensemble machine-learning approach to predict if pairs of antibodies target the same epitope based on antibody sequence alone. This can be applied to identify potential targets of an antibody of interest by comparing it to antibodies with known specificities.

bioinformatics↗

Lineage recording in monoclonal gastruloids reveals heritable modes of early development

Mammalian stem cells possess a remarkable capacity for self-organization, a property that underlies increasingly sophisticated in vitro models of early development. However, even under carefully controlled conditions, stem cell-derived models exhibit substantial "inter-individual" heterogeneity. Focusing on gastruloids, a powerful model of the early posterior embryo1, we sought to investigate the origins of this heterogeneity. To this end, we developed a scalable protocol for generating gastruloids that are monoclonal, i.e. derived from a single mouse embryonic stem cell (mESC). Single cell transcriptional profiling of monoclonal gastruloids revealed extensive inter-individual heterogeneity, with some hardly progressing, others resembling conventional gastruloids but biased towards mesodermal or neural lineages, and yet others bearing cell types rare or absent from conventional polyclonal gastruloids. To investigate this further, we leveraged DNA Typewriter2 to record the cell lineage relationships among the mESCs from which monoclonal gastruloids originate. Early in the expansion of "founder" mESCsprior to induction of the resulting aggregates to form gastruloidswe observe clear examples of fate bias or fate restriction, i.e. sister clades that exhibit markedly different cell type compositions. In a separate experiment with DNA Typewriter, we reconstructed a monophyletic "tree of trees", composed of [~]50,000 cells derived from [~]100 gastruloids, all descended from a single "founder of founders" stem cell. From these data, we find that founder mESCs that are more closely related are more likely to give rise to monoclonal gastruloids with similar cell type compositions. Our results suggest that fluctuations in the intrinsic states of mESCs are heritable, and shape their descendants fates across many cell divisions. Our study also showcases how DNA Typewriter can be used to reconstruct high-resolution, monophyletic cell lineage trees in stem cell models of early development.

developmental biology↗

Glutamatergic Dysfunction of Astrocytes in Paraventricular Nucleus of Thalamus Contributes to Adult Anxiety Susceptibility in Adolescent Ethanol Exposed Mice

Repeated ethanol exposure during adolescence increases the risk for displaying anxiogenic phenotype in adulthood, but the underlying mechanisms are not fully understood. The paraventricular nucleus of thalamus (PVT) has been considered a hub brain area for controlling the anxiety network in the brain. Recent structural and functional investigations indicate that the PVT exhibits diverse neural signals aligned with early-life events, which are highly linked with anxiety-like behaviors. However, it remains unknown if repeated ethanol exposure during adolescence will affect the coordinated brain activities of the PVT in adulthood, and consequent behavioral adaptation. Here we show that adolescent repeated intermittent ethanol exposure (AIE) triggers anxiety-like behaviors and parallelly induces the glutamatergic adaptation in the PVT after four weeks withdrawal from the last ethanol exposure. The firing rates, along with the spatiotemporal calcium transients in the PVT neurons during behavior were increased in the AIE mice compared to those in the counterpart control mice. Importantly, with the chemogenetic inhibition of the PVT neurons, we found alleviated the anxiety-like behavior in the AIE mice. The increased neuronal activities in the PVT of AIE mice was, at least partly, via the reduction of GLT1 (an astrocyte dominant glutamate transporter, known as EAAT2, slc1a2). Our non-invasive magnetic resonance spectroscopy (MRS) measures also showed an increase in glutamate/GABA ratio in the thalamic area including the PVT of the GLT1 conditional knock-down mice, which exhibited the heightened anxiety-like behavior. In addition, while the selective knock-out of GLT1 in the astrocytes of PVT in the alcohol naive mice induces anxiogenic phenotypes, the selective upregulation of GLT1 in the PVT astrocytes of the mice that were treated with AIE paradigm alleviated the anxiety-like behaviors as well. These findings highlight the significant role of PVT astrocytic GLT1 in the anxiogenic phenotype in adulthood induced by withdrawal from adolescent repeated ethanol exposure, suggesting that GLT1 in the PVT could serve as a therapeutic target for alcohol use disorder and comorbid emotional disorders.

neuroscience↗

Alternatively-Spliced CAMKK2 isoforms drive differential metabolic stress response and the regulation of ferroptosis

Calcium/Calmodulin-dependent protein kinase kinase 2 (CAMKK2) is a multifunctional kinase that regulates metabolic processes by phosphorylating downstream targets. CAMKK2 is expressed as several highly similar protein isoforms, although the specific functions of these individual isoforms remain largely unexplored. These isoforms have been shown to display tissue-specific expression patterns, suggesting unique roles in distinct cellular contexts. In this study, we investigated the biochemical and functional relevance of CAMKK2 isoforms, LF and SF, in the context of glucose metabolism. Co-immunoprecipitation experiments revealed that the LF isoform preferentially binds the adaptor protein 14-3-3, while the SF isoform interacts with Calmodulin. Furthermore, the interaction between SF and Calmodulin was enhanced upon glucose starvation, whereas this interaction was not observed for LF. To assess their functional significance, we generated doxycycline-inducible, isoform-specific HeLa cell lines. Under low glucose conditions, cells expressing the LF isoform failed to activate AMPK, while cells expressing the SF isoform exhibited robust increase in AMPK phosphorylation. Moreover, LF-expressing cells accumulated higher levels of reactive oxygen species, upregulated ferroptosis-related genes via BACH1/NRF2, and displayed increased cell death compared to SF-expressing cells. Collectively, these findings demonstrate that CAMKK2 isoforms exhibit differential selectivity for protein partners and mediate distinct downstream signaling pathways, impacting metabolism in cancer.

biochemistry↗

Mechanical forces drive mitochondrial matrix extrusion and apoptotic pore growth

Apoptotic pore opening by BAX and BAK at the mitochondrial outer membrane is a key step in the cell commitment to death. The subsequent inner membrane extrusion and permeabilization releases mitochondrial DNA into the cytosol, which can trigger inflammatory signaling. However, the underlying mechanisms have not been elucidated. Here we developed CLOSE microscopy, a multi-correlative approach that enabled the simultaneous analysis of BAK stoichiometry and nanoscale organization in individual apoptotic pore complexes in relation to mitochondrial ultrastructure. We find that the outer membrane opening at the apoptotic pore defines the spatial arrangement of BAK nanoassemblies. We identify mechanical stress as a driver of inner membrane extrusion, which can be perturbed by osmoregulation. The extruded inner membrane in turn exerts forces on the outer membrane that promote apoptotic pore growth, in line with membrane dynamics simulations. Our study reveals a tight interplay between the inner and outer membranes during mitochondrial permeabilization in apoptosis and establishes a biophysical mechanism for inner membrane extrusion that defines the structural organization of the apoptotic pore.

cell biology↗

In utero lipid nanoparticle delivery achieves robust editing in hematopoietic stem cells.

Efficient delivery of genome editing reagents to hematopoietic stem cells (HSCs) has limited the development of in vivo gene editing therapies for hematologic disease. Here, we exploit developmental hematopoiesis to enable HSC targeting using clinically scalable lipid nanoparticles (LNPs). During fetal development, HSCs reside in the liver, a tissue that is efficiently accessed by LNPs. We show that in utero delivery of LNPs carrying Cre recombinase or CRISPR-Cas9 components results in transfection and genome editing of bona fide long-term repopulating HSCs. Edited HSCs maintain multilineage reconstitution capacity following transplantation, demonstrating preserved stem cell function. Comparative studies reveal that both fetal and early neonatal delivery permit HSC editing, with greater efficiency during fetal liver hematopoiesis. We further identify an LNP formulation that enhance HSC targeting and enable robust neonatal HSC editing without antibody-mediated targeting. Finally, combined delivery of Cas9 via LNPs and a repair template via adeno-associated virus in neonatal mice enables in vivo homology-directed repair in multiple tissues. Together, these findings establish the perinatal period as a therapeutic window for in vivo HSC genome editing and provide a scalable strategy for treating severe early-onset hematologic diseases.

cell biology↗

Longitudinal deep phenotyping in a mouse model of West syndrome reveals temporal dynamics of synapse remodeling, gliosis, and proteomic and lipidomic changes during seizure evolution

Neurodevelopmental disorders can have long-lasting effects, causing not only early pediatric symptoms but also a range of neurological issues throughout adulthood. West syndrome is a severe neurodevelopmental disorder marked by infantile spasms, an early symptom that typically subsides with age. However, many patients progress to other seizure forms, known as seizure evolution, which is closely linked to poor long-term outcomes. Despite its clinical significance, the neurobiological mechanisms behind seizure evolution in West syndrome remain poorly understood. Recent genetic studies have consistently identified the CYFIP2 p.Arg87Cys variant in West syndrome patients, and the Cyfip2+/R87C mouse model carrying this mutation has been shown to recapitulate key symptoms of the disorder, including infantile spasms. In this study, we aimed to gain deeper insight into seizure evolution by conducting longitudinal deep phenotyping of the Cyfip2+/R87C mouse model from the neonatal stage to seven months of age. We tracked seizure activity through behavioral and EEG recordings and employed multi-omic analyses, including tissue and single-cell level transcriptomics, ultrastructural analysis, proteomics, and lipidomics, to capture a comprehensive view of molecular and cellular changes. Our results showed that after an initial period of neonatal spasms, Cyfip2+/R87C mice entered a seizure-free phase, followed by spontaneous recurrent seizures in adulthood, ultimately leading to premature death. This progression was associated with synaptic remodeling, sequential activation of different glial cell types, lipid droplet accumulation in astrocytes, and significant proteomic and lipidomic changes in the brain. These findings suggest that seizure evolution in West syndrome involves complex, time-dependent interactions between neurons and glial cells, along with alterations in lipid metabolism. Our study highlights the potential of longitudinal multi-omic approaches to uncover underlying mechanisms of seizure evolution and suggests that targeting these changes could offer novel therapeutic strategies. Additionally, the dataset generated here may provide valuable insights for other epilepsy and neurodevelopmental disorder models.

neuroscience↗

EZH1 Q571R-mediated chromatin compaction and its oncogenic potential in thyroid cancer

Dysregulation of Polycomb Repressive Complex 2 (PRC2) is established to contribute to cancer. Of its catalytic subunits, EZH1 and EZH2, EZH2 mutations in cancer have been extensively identified and studied, but the role of EZH1 in cancer remains largely unexplored. The recurrent presence of the EZH1Q571R mutation in follicular thyroid cancer suggests its involvement in tumor progression. Using EZH1 ChIP-seq, ATAC-seq, and H3K27me3 CUT&Tag, we demonstrated that EZH1Q571R enhances chromatin binding and compaction and stimulates PRC2-EZH1 catalytic activity, leading to increased H3K27me3 levels and repression of tumor suppressor genes. Purified PRC2-EZH1Q571R demonstrated a significant increase in histone methyltransferase activity compared to PRC2-EZH1WT via enhanced nucleosome binding and DNA compaction. Notably, this effect is particularly observed with EZH1Q571R but only to a lesser extent with the corresponding EZH2Q570R mutation, highlighting it as an EZH1-specific mechanism. We additionally demonstrated PRC2-EZH1Q571R to efficiently methylate H3K27 in pre-existing H3K36me2/3 nucleosomes, disrupting chromatin homeostasis. Our findings provide key insights into the molecular pathogenesis of EZH1Q571R-driven follicular thyroid cancer.

molecular biology↗

Unacylated Ghrelin Counteracts Contractile and Mitochondrial Dysfunction in Cancer Cachexia

BackgroundCancer cachexia is a complex metabolic syndrome that severely impacts patient mobility, treatment strategies, and quality of life. However, no treatments are available to mitigate the debilitating consequences of cancer cachexia. Unacylated ghrelin (UnAG), the main circulating form of ghrelin, enhances muscle growth and mitochondrial function in various diseases, but its effects in cancer cachexia remain to be tested. MethodsMale C57Bl6/N mice were assigned to one of three treatment groups: non-tumor-bearing (NTB), tumor-bearing (TB), or tumor-bearing treated with unacylated ghrelin (TB+UnAG). Over four weeks, we monitored body weight, food intake, and tumor size. We assessed muscle mass, contractility, mitochondrial oxygen consumption rate (OCR), and reactive oxygen species (ROS) production. Proteomic analysis was performed to elucidate the downstream effects of UnAG. Cell culture assays were performed to measure the in vitro effects of cancer cell-secreted factors and UnAG on myoblasts. ResultsGastrocnemius and quadriceps muscle masses were reduced by 20-30% in TB mice compared to NTB controls; however, UnAG treatment prevented approximately 50% of this loss. Beyond muscle mass, UnAG enhanced the isometric maximum specific force of the extensor digitorum longus by 70% in TB mice. This improvement in muscle quality was associated with preferential upregulation of myosin heavy chain expression in TB+UnAG mice. UnAG also increased mitochondrial OCR while reducing ROS production. Mitochondrial DNA (mtDNA) copy number, which was reduced in TB mice, was restored by UnAG, while the reduced mtDNA mutation frequency in TB mice was maintained with treatment, indicating improved mtDNA integrity. Consistent with enhanced mitochondrial function, treadmill running time was significantly increased in TB+UnAG mice. Proteomic analysis revealed that UnAG downregulated proteins associated with proteolysis, while normalizing antioxidant enzyme thioredoxin and proteins involved in calcium handling. Cancer cell-conditioned medium reduced myotube width in vitro, but UnAG treatment preserved myotube structure.. ConclusionUnAG protects against cancer cachexia by targeting multiple risk factors, including myosin heavy chain expression, mitochondrial bioenergetics, and modulation of protein degradation pathways.

physiology↗

Metagenomic-scale analysis of the predicted protein structure universe

Protein structure prediction breakthroughs, AlphaFold2 and ESMfold, have led to an unprecedented influx of computationally derived structures. The AlphaFold Protein Structure Database provides over 200 million predictions, while the ESM Metagenomic Atlas (ESMatlas) includes over 600 million predictions from uncultured microbes. We combine these into AFESM, an 820-million-entry dataset, and cluster them using a scalable pipeline based on sequence and structure similarity, yielding 5.12 million non-singleton structural clusters. We identify common ancestors and biomes for these clusters to explore their environmental diversity and specificity, and we investigate their structural novelties. From non-singleton clusters unique to ESMatlas, we identified 12 novel domain folds, repredicting a subset ([~]45%) of low-quality domains with ColabFold yielded 33 additional novel folds. This underscores the importance of prediction quality in structural novelty discovery. We also identified 11,941 previously unseen domain combinations, highlighting the untapped structural diversity and importance of metagenomic data for illuminating underexplored regions of the protein structural universe. An interactive webserver and data are available at afesm.foldseek.com.

bioinformatics↗

Charting the nanotopography of inner hair cell synapses using MINFLUX nanoscopy

For us to hear, the cochlea encodes sounds into neural signals at synapses of inner hair cells (IHCs) and the auditory nerve with remarkable fidelity. To achieve the high rates of temporally precise synaptic transmission over long periods of time, IHCs employ sophisticated ribbon-type active zones (AZ). In order for us to understand synaptic sound encoding, we need to decipher the underpinning molecular topography of these synapse which had remained challenging due to technological limitations. Here we applied 3-dimensional minimal flux optical nanoscopy to mouse IHC synapses to chart the position of key pre- and postsynaptic proteins with single digit nanometre resolution of imaging. We demonstrate that nanoclusters of channels and interacting proteins govern the topography of AZs and postsynaptic densities (PSDs). We count synaptic proteins, their nanoclusters and determine their spatial organization feeding into computational modelling of AZ function. In conclusion, this study reveals a nanocluster-based molecular AZ and PSD topography, likely serving as functional modules in synaptic sound encoding.

neuroscience↗

United States PRRSV 1-4-4 L1C.5 isolate demonstrates similar pathogenicity to a historic Chinese highly pathogenic PRRSV

Porcine reproductive and respiratory syndrome virus (PRRSV) is a major economic and animal health burden on the United States swine industry due to morbidity- and mortality-associated losses affecting all stages of pig production. Currently, a large proportion of losses are attributed to a highly virulent PRRSV strain, PRRSV 1-4-4 L1C.5. To benchmark the virulence of PRRSV 1-4-4 L1C.5, a study was conducted to compare pathogenicity of this contemporary strain to a historical Chinese highly pathogenic PRRSV (HP-PRRSV) strain, JXwn06, that devastated the Chinese and other Asian swine industries since 2006, as well as a moderately virulent United States PRRSV strain, MN184, considered to be one of the most virulent PRRSV strains circulating in the United States in the early 2000s. Weaned pigs were inoculated with PRRSV strains L1C.5, JXwn06, MN184, or mock inoculum and necropsied at 2, 6, and 10 days post inoculation, or as needed due to severe disease. Clinical metrics, viral loads, cytokine concentrations, PRRSV-specific antibody concentrations, and pathology were compared between treatment groups to compare pathogenicity. Results indicate a high degree of similarity disease dynamics between L1C.5 and JXwn06 animals that diverged from MN184 and mock animals. Findings indicate L1C.5 and JXwn06 cause more severe morbidity and mortality in weaned pigs than MN184. Results may be applied to develop more effective strategies for mitigating PRRSV 1-4-4 L1C.5 outbreaks currently plaguing the United States swine industry.

microbiology↗

A ketogenic diet mitigates hippocampal astrogliosis in epileptic brain

The ketogenic diet (KD) is an established treatment for patients with medically intractable epilepsy and is chiefly characterized by high fat/low-carbohydrate intake and the production of ketone bodies (KB) such as {beta}-hydroxybutyrate (BHB). However, after more than a century of clinical use, the mechanisms underlying its efficacy remain unclear. While prior investigations have examined the effects of the KD and its metabolic substrates on synaptic transmission, few studies have explored a potential connection between astrocytic ion channels and seizure genesis. One essential function of astrocytes is spatial potassium buffering which influences passive potassium conductance (PPC), and when impaired, can result in neuronal hyperexcitability. In the present study, we demonstrate that the KD can mitigate hippocampal astrogliosis in the Kcna1-null (KO) mouse model of developmental epilepsy. Specifically, we observed a significant increase in GFAP expression in KO mice fed a control diet compared to wild-type (WT) mice, and that the KD prevented this change. Furthermore, we noted a reduction in hippocampal astrocytic PPC in epileptic mice, whereas KD-treated KO animals exhibited nearly normal passive conductance levels. In this regard, we found that while Kir4.1, TREK-1 and TWIK-1 RNA expression levels were not significantly altered by KD treatment in either WT or KO mice, BHB appeared to only minimally affect Kir4.1-mediated currents in transfected HEK cells. Furthermore, bulk RNA-seq analysis of the various treatment groups revealed KD-induced down-regulation of factors linked to hippocampal astrogliosis. Our findings indicate that the KD protects against epilepsy-associated astrogliosis and astrocytic PPC changes, underscoring a novel mechanism of action, and implicate extracellular potassium in its anti-seizure effects.

neuroscience↗