Biology subjects

Wong, A.

Publications and source records attributed to Wong, A..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects

BackgroundGenetic variants that are associated with phenotypic variability, or variance quantitative trait loci (vQTLs), have been detected for multiple human traits. Gene-environment interactions can lead to differential phenotypic variability across genotype groups, therefore, genetic variants that interact with environmental exposures can manifest as vQTLs. Although changes in DNA methylation variability have been observed in several diseases, vQTLs for methylation levels (vmeQTL) have not yet been explored in depth. ResultsWe optimize the value of monozygotic (MZ) twin studies to identify and replicate vmeQTLs for blood DNA methylation variance at 358 CpGs in 988 adult MZ twin pairs from two European twin registries. Over a third of vmeQTLs captured identical vmeQTL-environmental factor interactions in both datasets, and the majority of interactions were observed with blood cell counts. Correspondingly, over 60% of CpGs affected by genotype-monocyte and genotype-T cell interactions replicated as CpGs affected by genetic effects in the relevant cell type in an independent dataset. Most vmeQTLs also replicated in 1,348 UK non-twin adults and showed longitudinal stability in a sample subset. Integrating gene expression and phenotype association results identified multiple vmeQTLs that capture GxE effects relevant to human health. Examples include vmeQTLs interacting with blood cell type to influence DNA methylation in FAM65A, NAPRT, and CSGALNACT1 underlying immune disease susceptibility and progression. ConclusionOur findings identify novel genetic effects on human DNA methylation variability within a unique MZ twin study design. The results show the potential of vmeQTLs to identify gene-environment interactions and provide novel insights into complex traits.

genetics↗

bioRxiv2025

A cold-inducible phospholipid--protein interaction in brown fat mitochondria optimizes thermogenic capacity

Cold stress elicits dynamic remodeling of the mitochondrial lipidome in brown adipose tissue (BAT), marked by an increase in arachidonoyl-phosphatidylethanolamine (AA-PE). However, the function of membrane lipid rewiring in thermoregulatory physiology has been a longstanding mystery. Here, we identify LPCAT3 as a cold-regulated O-acyltransferase driving the highly selective accrual of AA-PE in BAT mitochondria. Lipid-based proteomics, molecular dynamics simulations, and bioenergetic analyses reveal that AA-PE partitions at the COX4I1 interface of the Cytochrome c oxidase complex, enhancing electron transport chain (ETC) efficiency. Accordingly, fat-specific Lpcat3-knockout mice have defects in respiratory-dependent BAT thermogenesis and cold tolerance, despite intact {beta}-adrenergic signaling and UCP1 function. Under cold acclimation, Lpcat3-/-BAT exhibits ETC dysfunction and activation of the integrated stress-response. Thus, our study illuminates a cold-regulated lipid-protein interaction as a gating factor in UCP1-dependent thermogenesis.

physiology↗

bioRxiv2025

1-Deoxysphingolipids dysregulate membrane properties and cargo trafficking in the early secretory pathway

1-Deoxysphingolipids are non-canonical sphingolipids linked to several diseases, but their cellular effects are poorly understood. Here, we utilize lipid chemical biology approaches to investigate the role of 1-deoxysphingolipid metabolism on the properties and functions of secretory membranes. We first applied organelle-specific bioorthogonal labeling to visualize the subcellular distribution of metabolically tagged 1-deoxysphingolipids in RPE-1 cells, observing that they are retained in the endoplasmic reticulum (ER). We found that 1-deoxysphingolipids can be transported by the non-vesicular transporter CERT in vitro but are retained at ER exit sites (ERES) in cells, suggesting that they do not efficiently sort into vesicular carriers. Cells expressing disease-associated variants of serine palmitoyl-CoA transferase (SPT) accumulated long-chain 1-deoxysphingolipids, which reduced ER membrane fluidity and enlarged ERES. We observed that the rates of membrane protein release from the ER were altered in response to mutant SPT expression, in a manner that was dependent on the cargo affinity for ordered or disordered membranes. We propose that dysregulation of sphingolipid metabolism alters secretory membrane properties, which can then modulate protein trafficking.

cell biology↗

bioRxiv2025

Combined optical coherence tomography and electroretinography (OCT+ERG) system for imaging neurovascular coupling in the human retina

SignificanceDuring their early stages of development, neurological and neurodegenerative diseases cause changes to the biological tissues morphology, physiology and metabolism at cellular level, and acute, transient changes in the local blood flow. Development of novel optical methods for quantitative imaging of such changes non-invasively and simultaneously would allow for probing of neurovascular coupling in neural tissues and therefore can have a profound effect on furthering our understanding of neurodegeneration. AimTo develop an optical imaging platform based on optical coherence tomography (OCT) for imaging and characterization of neurovascular coupling in the human retina with high spatial and temporal resolution. ApproachA fast, ultrahigh resolution OCT system was developed and combined with a clinical electroretinography (ERG) system for in-vivo, simultaneous structural, functional and vascular imaging of the human retina in response to visual stimulation. Novel image processing algorithms were developed to quantify visually-evoked physiological and blood flow changes from the OCT images and explore neurovascular coupling in the healthy human retina. ResultsVisual stimulation of the human retina with singe flashes (white light, 4ms duration) caused transient changes in the optical reflectivity and thickness (optical pathlength difference) of major retinal layers, as well as the blood flow in local retinal blood vessels. The time courses of the neuronal and blood flow changes were correlated, and their magnitude was dependent on the intensity of the visual stimulus. ConclusionsWe have developed an optical imaging modality for non-invasive probing of neurovascular coupling in the living human retina and demonstrated its utility and clinical potential in a pilot study on healthy subjects. This imaging platform could serve as a useful clinical research tool for investigation of potentially blinding retinal diseases, as well as neurodegenerative brain diseases that are expressed in the retina such as Alzheimers and Parkinsons.

bioengineering↗

bioRxiv2025

A novel method for detection of Cas9 gRNAs using a fluorophore-labeled DNA oligo

Clustered regularly interspaced short palindromic repeats (CRISPR) associated protein 9 (Cas9) has become one of the most important gene editing tools. CRISPR guide RNA (gRNA) serves as an important component in guiding Cas proteins to a target site in gene editing processes. For effective gene editing or site specific gene integration, levels of gRNA present in a target cell are critical. Especially, for prime editing, even the ratio of different gRNAs present in target cells has a major effect on gene editing efficiency. Therefore, having a convenient, highly sensitive method for direct detection of gRNAs can improve editing design and optimize targeting efficiency. Here, we have developed a convenient, highly sensitive method for direct detection of gRNAs, which may be used to improve editing design and optimize targeting efficiency.

molecular biology↗

bioRxiv2024

Coordinated organic and inorganic nitrogen transformations fuel soil microbial blooms and increase nitrogen retention during snowmelt

Snowmelt in high-elevation watersheds triggers a microbial bloom and crash that affects nitrogen (N) export. Predicting watershed N dynamics as snowpack declines is a challenge because the mechanisms that underlie this microbial bloom and crash are uncertain. Using a multi-omic approach, we show that the dynamic molecular properties of dissolved organic N, plus high gene expression for peptidases that recycle microbial biomass, suggested that microbial turnover provided N for biosynthesis during the microbial bloom. Amino acid fermentation by Bradyrhizobia produced organic acids that also fueled denitrification and dissimilatory nitrate reduction to ammonia (DNRA) during snowmelt. Nitrification in spring was driven by Spring-Adapted Nitrososphaerales, which utilized ammonium derived from osmolyte degradation by Winter-Adapted Solirubrobacteraceae. High DNRA gene expression after snowmelt suggested significant nitrate retention, increasing watershed N retention potential. However, declining snowfall may compromise microbial regulation of soil N retention, with implications for watershed N export.

microbiology↗

bioRxiv2024

Antibiotic treatment and microbiome depletion slow cnidarian regeneration

Cnidarian microbiomes play an essential role in physiology and development, but how these communities influence tissue regeneration is poorly understood. Here, we examined the effects of antibiotic exposure on regeneration and microbial communities in two cnidarian models, the sea anemones Nematostella vectensis (non-symbiotic, hereafter, Nematostella) and Exaiptasia pallida (symbiotic, hereafter, Aiptasia). Bisected animals were incubated in either sterile or antibiotic-containing artificial seawater for seven days and regeneration was monitored daily. After seven days, tentacle number and length were measured, and microbial communities were profiled using metabarcoding of the V4 region of the 16S rRNA. Microbiome disruption was observed under antibiotic treatment in both species, resulting in decreased microbial load and shifts in relative abundances of some microbial taxa. However, Nematostella exhibited a greater reduction in microbial diversity and community shifts under antibiotic exposure, whereas Aiptasia showed only moderate changes in diversity. In both species, microbiome disruption was associated with slower regeneration rates and reduced tentacle number and length, suggesting a functional role for the microbiome in cnidarian regeneration. Our findings suggest that host-microbiome interactions in both symbiotic and aposymbiotic anemones are important for the maintenance of regenerative processes. These findings provide insight into how cnidarians and their microbiomes respond to environmental stressors, with implications for predicting cnidarian resilience in the context of emerging threats to the marine environment.

developmental biology↗

bioRxiv2024

Phenotypic high-throughput screening identifies modulators of gut microbial choline metabolism

Anaerobic metabolism of dietary choline to trimethylamine (TMA) by the human gut microbiome is a disease-associated pathway. The hosts impaired ability to oxidize TMA to trimethylamine-N-oxide (TMAO) results in trimethylaminuria (TMAU), while elevated serum TMAO levels have been positively correlated with cardiometabolic disease. Small molecule inhibition of gut bacterial choline metabolism attenuates the development of disease in mice, highlighting the therapeutic potential of modulating this metabolism. Inhibitors previously developed to target this pathway are often designed to mimic choline, the substrate of the key TMA-generating enzyme choline trimethylamine-lyase (CutC). Here, we use a growth-based phenotypic high-throughput screen and medicinal chemistry to identify distinct chemical scaffolds that can modulate anaerobic microbial choline metabolism and lower TMAO levels in vivo. These results illustrate the potential of using phenotypic screening to rapidly discover new inhibitors of gut microbial metabolic activities.

microbiology↗

bioRxiv2024

Retinoid X Receptor Signaling Mediates Cancer Cell Lipid Metabolism in the Leptomeninges

Cancer cells metastatic to the leptomeninges encounter a metabolically-challenging extreme microenvironment. To understand adaptations to this space, we subjected leptomeningeal-metastatic (LeptoM) mouse breast and lung cancers isolated from either the leptomeninges or orthotopic primary sites to ATAC-and RNA-sequencing. When inhabiting the leptomeninges, the LeptoM cells demonstrated transcription downstream of retinoid-X-receptors (RXRs). We found evidence of local retinoic acid (RA) generation in both human leptomeningeal metastasis and mouse models in the form of elevated spinal fluid retinol and expression of RA-generating dehydrogenases within the leptomeningeal microenvironment. Stimulating LeptoM cells with RA induced expression of transcripts encoding de novo fatty acid synthesis pathway enzymes in vitro. In vivo, while deletion of Stra6 did not alter cancer cell leptomeningeal growth, knockout of Rxra/b/g interrupted cancer cell lipid biosynthesis and arrested cancer growth. These observations illustrate a mechanism whereby metastatic cancer cells awake locally-generated developmental cues for metabolically reprograming, suggesting novel therapeutic approaches.

cancer biology↗

bioRxiv2024

PLAbDab-nano: a database of camelid and shark nanobodies from patents and literature

Nanobodies are essential proteins of the adaptive immune systems of camelid and shark species, complementing conventional antibodies. Properties such as their relatively small size, solubility and high thermostability make VHH and VNAR modalities a promising therapeutic format and a valuable resource for a wide range of biological applications. The volume of academic literature and patents related to nanobodies has risen significantly over the past decade. Here, we present PLAbDab-nano, a nanobody complement to the Patent and Literature Antibody Database (PLAbDab). PLAbDab-nano is a selfupdating, searchable repository containing approximately 5000 annotated VHH and VNAR sequences. We describe the methods used to curate the entries in PLAbDab-nano, and highlight how PLAbDab-nano could be used to design diverse libraries, as well as find sequences similar to known patented or therapeutic entries. PLAbDab-nano is freely available as a searchable web server (opig.stats.ox.ac.uk/webapps/plabdab-nano/). Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=193 SRC="FIGDIR/small/604232v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@5d81d4org.highwire.dtl.DTLVardef@f69f21org.highwire.dtl.DTLVardef@1493c54org.highwire.dtl.DTLVardef@117e3c5_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

How the Tulip Breaking Virus Creates Striped Tulips

The beauty of tulips has enchanted mankind for centuries. The striped variety has attracted particular attention for its intricate and unpredictable patterns. A good understanding of the mechanism that drives the striped pattern formation of the broken tulips has been missing since the 17th century. It is known since 1928 that these patterned tulips suffer from a viral infection by the tulip breaking virus. Here, we present a mathematical model to understand how a virus infection of the petals can lead to stripes, thereby solving a 350 year old mystery. The model, which describes the viral inhibition of pigment expression (anthocyanins) and their interaction with viral reproduction, incorporates a pattern formation mechanism identified as an activator-substrate mechanism, similar to the well-known Turing instability, working together with a Wolperts positional information mechanism. The model is solved on a growing tulip petal shaped domain, whereby we introduce a new method to describe the tulip petal growth explicitly. This work contributes to the theory of pattern formation of reaction-diffusion systems on growing domains applied to the fields of virology and botany.

plant biology↗

bioRxiv2024

Single-cell RNA-Sequencing Co-Expression Analysis with CFTR in Lung Tissue

1BackgroundWhile cystic fibrosis is caused by loss-of-function variants in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR), other modifier genes have been shown to associate with disease severity. Co-expression of modifiers with CFTR in normal tissue indicates a cooperative relationship and suggests the potential for compensation in the presence of CFTR dysfunction. We examined the co-expression relationships with CFTR in the lung using single cell RNA sequencing to pinpoint cell types and their modifiers involved in the forced expiratory volume in 1 second (FEV1)-based cystic fibrosis lung phenotype and support target cell-type prioritization for therapy 1. MethodsSmartSeq2 single cell RNA sequencing data from non-cystic fibrosis lung tissue was used for evaluation of co-expression with CFTR and modifier genes. Zero-inflated negative binomial model was used to formally test the co-expression association. 10X Chromium based single cell RNA sequencing data from both cystic fibrosis and non-cystic fibrosis studies were assessed graphically to confirm conclusions from the SmartSeq2 primary analysis. ResultsDifferentiating basal, club and alveolar epithelial type 2 cells were found to have high proportions of cells expressing CFTR as well as the greatest number of significant co-expression relationships with the modifiers. In particular, among alveolar epithelial type 2 cells, we observed a strong co-expression trio relationship between CFTR, SLC6A14 and SLC26A9 (p < 0.05). ConclusionsCFTR-modifier gene co-expression suggests basal, club and alveolar epithelial type 2 cells show coordinated expression. Alveolar epithelial type 2 cells showed strong co-expression evidence with two of the most established cystic fibrosis modifier genes.

genetics↗

bioRxiv2024

Limit of detection of Salmonella ser. Enteritidis using culture-based versus culture-independent diagnostic approaches

In order to prevent the spread of foodborne illnesses, the presence of pathogens in the food chain is monitored by government agencies and food producers. The culture-based methods currently employed are sensitive but time-and labour-intensive, leading to increasing interest in exploring culture-independent diagnostic tests (CIDTs) for pathogen detection. However, sensitivity and reliability of these CIDTs relative to current approaches has not been well established. To address this issue, we conducted a comparison of the limit of detection (LOD50) for Salmonella between a culture-based method and three CIDT methods: qPCR (targeting invA and stn), metabarcode (16S) sequencing, and shotgun metagenomic sequencing. Samples of chicken feed and chicken caecal contents were spiked with Salmonella serovar Enteritidis and subjected to culture-and DNA-based detection methods. To explore the impact of non-selective enrichment on LOD50, all samples underwent both immediate DNA extraction and an overnight enrichment prior to gDNA extraction. In addition to this spike-in experiment, feed and caecal samples acquired from the field were tested with culturing, qPCR, and metabarcoding. In general, LOD50 was comparable between qPCR and shotgun sequencing methods. Overnight microbiological enrichment resulted in an improvement in LOD50 with up to a three log decrease, comparable to culture-based detection. However, Salmonella reads were detected in some unspiked feed samples, suggesting false-positive detection of Salmonella. Additionally, the LOD50 in feeds was three logs lower than in caecal contents, underscoring the impact of background microbiota on Salmonella detection using all methods. IMPORTANCEThe appeal of CIDTs is increased speed with lowered cost, as well as the potential to detect multiple pathogen species in a single analysis and to monitor other areas of concern such as antimicrobial resistance genes or virulence factors. Understanding the sensitivity of CIDTs relative to current approaches will help determine the feasibility of implementing these methods in pathogen surveillance programs.

microbiology↗

bioRxiv2023

Discovery of Novel Small Molecule CB2 Agonist for the Treatment of Glioblastoma Tumors

Malignant brain tumors cause over 15,000 deaths per year in the United States. Survival for over five years is only 36%. Nearly 49% of malignant brain tumors are glioblastomas (GBM), and 30% of them have the ability to diffuse and infiltrate. Treatment frequently includes surgery, radiotherapy and chemotherapy. In case of GBM patients, combining temozolomide (TMZ) chemotherapy with radiation improved survival over radiotherapy alone (survival by 2 years: 17% vs. 11%; 5 years: 10% vs. 2%). Most primary GBM tumors from pediatric and adult patients express high levels of cannabinoid type II (CB2) receptors, and that expression correlated with tumor grade. Cannabinoids like (-)-trans-{Delta}9-tetrahydrocannabinol ({Delta}9-THC) were shown to suppress GBM tumor growth, trigger apoptosis in GBM stem cells, and slow down angiogenesis, thus cutting GBM cells off of blood supply. These data led to local administration of {Delta}9-THC in clinical trials in patients with recurrent glioblastomas, although the well-known psychotropic effects of {Delta}9 -THC and related compounds mediated via the CB1 receptors have raised some concerns among clinicians. Thus, the medicinal usage of cannabinoids has been limited. One leading strategy to avoid the side effects is administration of CB2-selective non-psychotic drugs. To create an effective solution, we designed a preclinical study to develop a novel GBM therapy, using NeuroTherapias lead molecule, the CB2 agonist NTRX-07. We have already demonstrated that NTRX-07 ameliorates Amyloid {beta} production and deposition in the hippocampus, and thus restored Long-Term Potentiation - the cellular mechanism for learning and memory formation. Consequently, we showed that NTRX-07 has a highly competitive target compound profile, and that is safe in murine models, dogs and humans. NTRX-07 has entered clinical trials for the management of AD as the first orally available CB2 agonist designed to be centrally active. The phase I single ascending dose study in normal volunteers demonstrated targeted plasma levels of the drug after oral administration with no serious adverse events or clinically significant changes in safety examinations or laboratory tests. In this pilot mouse GBM survival study, we found breakthrough evidence that our compound can exert potent anti-cancer activity and significantly extend the survival of GBM animals; even without previously exposing them to radiotherapy or TMZ. Our goal is to bring NTRX-07 into the clinic as a new therapeutic for patients with GBM.

neuroscience↗

bioRxiv2023

Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity.

While animal models have provided key insights into conserved mechanisms of how the lung forms during development, human-specific developmental mechanisms are not always captured. To fully appreciate how developmental defects and disease states alter the function of the lungs, studies in human lung models are important. Here, we sequenced >150,000 single single-cells from 19 healthy human fetal lung tissues from gestational weeks 10-19 and identified at least 58 unique cell types/states contributing to the developing lung. We captured novel dynamic developmental trajectories from various progenitor cells that give rise to club, ciliated, and pulmonary neuroendocrine cells. We also identified four CFTR-expressing progenitor cell types and pinpointed the temporal emergence of these cell types. These developmental dynamics reveal broader epithelial cell plasticity and novel lineage hierarchies that were not previously reported. Combined with spatial transcriptomics, we identified both cell autonomous and non-cell autonomous signalling pathways that may dictate the temporal and spatial emergence of cell lineages. Finally, we showed that human pluripotent stem cell-derived fetal lung models capture cell lineage trajectories specifically through CFTR-expressing progenitor cells, that were also observed in the native fetal tissue. Overall, this study provides a comprehensive single-cell atlas of the developing human lung, outlining the temporal and spatial complexities of cell lineage development. HighlightsO_LISingle-cell transcriptomics atlas from 19 human fetal lungs reveals cellular heterogeneity and previously unappreciated cellular plasticity in the epithelial compartment. C_LIO_LIIdentification of novel CFTR-expressing progenitor cells that gives rise to club, ciliated and PNEC. C_LIO_LINovel RNA velocity facilitated the identification of dynamic lineage trajectories in the epithelial compartment. C_LIO_LITemporally regulated cell signaling through promiscuous interactions between sender and receiving cells may dictate cell lineage fates. C_LIO_LIIntegration of human pluripotent stem cell (hPSC)-derived fetal lung cells and organoids with primary lung dataset show hPSC-differentiations captures key developmental trajectories of fetal epithelial cell states. C_LI

developmental biology↗

bioRxiv2023

Unpredictability of the fitness effects of antimicrobial resistance mutations across environments in Escherichia coli

The evolution of antimicrobial resistance (AMR) in bacteria is a major public health concern. When resistant bacteria are highly prevalent in microbial populations, antibiotic restriction protocols are often implemented to reduce their spread. These measures rely on the existence of deleterious fitness effects (i.e., costs) imposed by AMR mutations during growth in the absence of antibiotics. According to this assumption, resistant strains will be outcompeted by susceptible strains that do not pay the cost during the period of restriction. Hence, the success of a given intervention depends on the magnitude and direction of fitness effects of mutations, which can vary depending on the genetic and environmental context. However, the fitness effects of AMR mutations are generally studied in laboratory reference strains and estimated in a limited number of environments, usually a standard laboratory growth medium. In this study, we systematically measure how three sources of variation impact the fitness effects of AMR mutations: the type of resistance mutation, the genetic background of the host, and the growth environment. We demonstrate that while AMR mutations are generally costly in antibiotic-free environments, their fitness effects vary widely and depend on complex interactions between the AMR mutation, genetic background, and environment. We test the ability of the Rough Mount Fuji genotype-fitness model to reproduce the empirical data in simulation. We identify model parameters that reasonably capture the variation in fitness effects due to genetic variation. However, the model fails to accommodate variation when considering multiple growth environments. Overall, this study reveals a wealth of variation in the fitness effects of resistance mutations owing to genetic background and environmental conditions, that will ultimately impact their persistence in natural populations. Authors AbstractThe emergence and spread of antimicrobial resistance in bacterial populations poses a continuing threat to our ability to successfully treat bacterial infections. During exposure to antibiotics, resistant microbes outcompete susceptible ones, leading to increases in prevalence. This competitive advantage, however, can be reversed in antibiotic-free environments, due to deleterious fitness effects imposed by resistance determinants, a concept referred to as the cost of resistance. The extent of these fitness effects is an important factor governing the prevalence of resistance in natural populations. However, predicting the fitness effects of resistance mutations is challenging, since their magnitude can change depending on the genetic background in which the mutation arose and the environmental context. Comprehensive data on these sources of variation is lacking, and we address this gap by determining the fitness effects of resistance mutations introduced in a range of Escherichia coli clinical isolates, measured in different antibiotic-free environments. Our results reveal wide variation in the fitness effects, driven by irreducible interactions between resistance mutations, genetic backgrounds, and growth environments. We evaluate the performance of a fitness landscape model to reproduce the data in simulation, highlight its strengths and weaknesses, and call for improvements to accommodate these important sources of variation.

evolutionary biology↗

bioRxiv2023

Neuroprotective Effects of Naltrexone in a Mouse Model of Post-Traumatic Epilepsy

Traumatic Brain Injury (TBI) induces neuroinflammatory responses that can initiate epileptogenesis, which develops into epilepsy. Recently, we identified the anti-convulsive effects of naltrexone, a mu-opioid receptor (MOR) antagonist. While blocking opioid receptors can reduce inflammation, it is unclear if post-TBI epileptogenesis can be prevented by blocking MORs. Here, we tested if naltrexone prevents neuroinflammation and epileptogenesis post-TBI. TBI was induced by a modified Marmarau Weight-Drop (WD) method applied to four-week-old C57BL/6J male mice. Mice were given the pro-convulsant pentylenetetrazol (PTZ) on day two post-injury while telemetry-monitored mice received PTZ on day five. Naltrexone/vehicle treatment started two hours after PTZ. Integrated EEG-video (vEEG) recorded interictal events and spontaneous seizures for three months. Molecular, histological and neuroimaging techniques were used to evaluate neuroinflammation and neurodegeneration both acutely and chronically. Peripheral immune responses were assessed through serum chemokine/cytokine measurements. We observed increases in MOR expression, nitro-oxidative stress, mRNA expression of inflammatory cytokines, microgliosis, neurodegeneration, and white matter damage in the neocortex of TBI mice. vEEG revealed increased interictal events in TBI mice, with 71% developing epilepsy. Naltrexone ameliorated neuroinflammation and neurodegeneration, reduced interictal events and prevented epilepsy, illustrating that naltrexone is a promising drug to prevent TBI-associated neuroinflammation and epileptogenesis in post-traumatic epilepsy.

neuroscience↗

bioRxiv2023

An Optimized Pipeline for Detection of Salmonella Sequences in Shotgun Metagenomics Datasets

BackgroundCulture-independent diagnostic tests (CIDTs) are gaining popularity as tools for detecting pathogens in food. Shotgun sequencing holds substantial promise for food testing as it provides abundant information on microbial communities, but the challenge is in analyzing large and complex sequencing datasets with a high degree of both sensitivity and specificity. Falsely classifying sequencing reads as originating from pathogens can lead to unnecessary food recalls or production shutdowns, while low sensitivity resulting in false negatives could lead to preventable illness. ResultsWe have developed a bioinformatic pipeline for identifying Salmonella as a model pathogen in metagenomic datasets with very high sensitivity and specificity. We tested this pipeline on mock communities of closely related bacteria and with simulated Salmonella reads added to published metagenomic datasets. Salmonella-derived reads could be found at very low abundances (high sensitivity) without false positives (high specificity). Carefully considering software parameters and database choices is essential to avoiding false positive sample calls. With well-chosen parameters plus additional steps to confirm the taxonomic origin of reads, it is possible to detect pathogens with very high specificity and sensitivity.

bioinformatics↗