Biology subjects

Nguyen, P. H.

Publications and source records attributed to Nguyen, P. H..

6 recordsLinked to original sources

bioRxiv2026

Stimulating microglial neuroinflammation with amyloid-beta oligomers compatible with solid-state NMR structural characterization

Soluble amyloid-{beta} (A{beta}) oligomers are considered the primary neurotoxic species in Alzheimer's disease, yet the relationship between oligomer structure and biological activity remains poorly understood. Oligomer sample preparations amenable to high-resolution structural characterization have not been tested in cell-based assays, mostly because detergents used to drive oligomer formation are toxic to cells. Here, we describe a detergent-free protocol in which size-exclusion chromatography-isolated A{beta}42 monomers spontaneously oligomerize at 37 {degrees}C in a concentration- and temperature-dependent manner. Biophysical characterization shows a {beta}-sheet structure by circular dichroism, a self-associating population above 100 kDa by silver-stained SDS-PAGE, and bead-like strings by negative-stain TEM resembling the previously characterized SDS-induced 150 kDa oligomer. Solid-state NMR spectroscopy of selectively 13C/15N-labeled 37 {degrees}C oligomers yields well-resolved spectra with {beta}-strand chemical shifts, and two-dimensional 13C-13C DARR and CHHC experiments provide initial inter-residue distance constraints that reveal both similarities to and differences from the 150 kDa oligomer. Treatment of mouse microglial cells (MMCs) with 50 nM 37 {degrees}C oligomers elicited a robust pro-inflammatory cytokine response that exceeded that of monomeric A{beta}42, as demonstrated by Luminex multiplex profiling and principal component analysis. hiPSC-derived microglia (iMGs) treated with 1 {micro}M oligomers also separated from vehicle, establishing activity in a human cellular model. Monomeric A{beta}42 was inactive in both systems, indicating that inflammatory activity depends on the assembly state of A{beta}42 rather than on the presence of peptide alone. These results establish a detergent-free A{beta}42 oligomer preparation that is simultaneously compatible with solid-state NMR structural characterization and biologically active in neuroinflammation assays, providing a platform for studying microglial immune responses to oligomers.

neuroscience↗

bioRxiv2026

Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance systems, particularly for vector-borne pathogens whose transmission depends on interactions among hosts, vectors, and climate-sensitive environmental conditions. Data-driven forecasting offers a promising approach for predicting outbreak risk using surveillance and environmental data. This study develops a logit-weighted ensemble (LWE), a machine-learning framework that predicts outbreak occurrence 1-6 months ahead at the administrative unit-month scale using routinely available outbreak notifications and gridded climate data. Bluetongue virus (BTV), an arbovirus of ruminants transmitted by Culicoides biting midges, provides a well-characterised system in which transmission is strongly shaped by climate, making it a useful system for applying and testing this approach. The framework is evaluated using surveillance data collected between 2005 and 2024 from France, Greece, and Italy, selected for their long-running and high-quality outbreak surveillance records. Across all three countries, the LWE achieved the strongest and most stable predictive performance under a recall-focused evaluation that prioritises correctly identifying outbreak months. It outperformed or matched 14 benchmark models, with differences becoming more pronounced at longer lead times (month +3 onward), when predictions are more uncertain and outbreaks are relatively rare. Predictability varied across countries, with the highest performance in Greece, strong performance in France, and lower, more variable performance in Italy, reflecting differences in how consistently outbreaks occur and spread across regions. Overall, the results demonstrate that horizon-aware, climate-informed forecasting can reliably identify months and locations at elevated risk of outbreak occurrence up to six months in advance, supporting surveillance planning and preparedness across heterogeneous European settings. The ensemble framework provides a robust and portable strategy for outbreak prediction using routinely collected surveillance and environmental data. Author SummaryPredicting infectious disease outbreaks before they occur remains a major challenge, particularly for diseases influenced by environmental conditions. In this study, we focus on bluetongue, a viral disease of livestock transmitted by biting midges, where transmission is strongly affected by climate and seasonal patterns. We develop a method that uses routinely collected outbreak reports and climate data to estimate where and when outbreaks are more likely to occur, up to six months in advance. We apply this approach across three European countries with a history of bluetongue outbreaks. We find that combining climate information with recent outbreak patterns can provide useful early signals of increased risk. Predictions are most accurate at shorter timeframes, but longer-range forecasts can still support planning and preparedness. Because our approach uses widely available data, it could be applied in other regions or to similar environmentally driven diseases. However, it does not include factors such as vaccination, animal movement, or detailed information on vector populations, which may also influence how outbreaks develop. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/726753v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@45e41borg.highwire.dtl.DTLVardef@82c787org.highwire.dtl.DTLVardef@1f97888org.highwire.dtl.DTLVardef@1586747_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

bioRxiv2024

Multiplexed screen identifies a Pseudomonas aeruginosa-specific small molecule targeting the outer membrane protein OprH and its interaction with LPS

SUMMARYThe surge of antimicrobial resistance threatens efficacy of current antibiotics, particularly against Pseudomonas aeruginosa, a highly resistant gram-negative pathogen. The asymmetric outer membrane (OM) of P. aeruginosa combined with its array of efflux pumps provide a barrier to xenobiotic accumulation, thus making antibiotic discovery challenging. We adapted PROSPECT1, a target-based, whole-cell screening strategy, to discover small molecule probes that kill P. aeruginosa mutants depleted for essential proteins localized at the OM. We identified BRD1401, a small molecule that has specific activity against a P. aeruginosa mutant depleted for the essential lipoprotein, OprL. Genetic and chemical biological studies identified that BRD1401 acts by targeting the OM {beta}-barrel protein OprH to disrupt its interaction with LPS and increase membrane fluidity. Studies with BRD1401 also revealed an interaction between OprL and OprH, directly linking the OM with peptidoglycan. Thus, a whole-cell, multiplexed screen can identify species-specific chemical probes to reveal novel pathogen biology.

microbiology↗

bioRxiv2022

Mucosal microbiomes and Fusobacterium genomics in Vietnamese colorectal cancer patients

Perturbations in the gut microbiome have been linked to the promotion and prognosis of colorectal cancer (CRC), with the colonic overabundance of Fusobacterium nucleatum shown as the most consistent marker. Despite the increasing health burden inflicted by CRC in low- and middle-income countries like Vietnam, the CRC-specific microbiome in these populations remains underexplored. Here we conducted a study in Vietnam to enrol 43 CRC patients (cases) and 25 patients with non-cancerous colorectal polyps (controls) between December 2018 and January 2020. Our study investigated the mucosal microbiome signature and genomic diversity of Fusobacterium in Vietnamese CRC patients, using a combination of 16S rRNA gene profiling, anaerobic microbiology, and whole genome sequencing. We found that several oral bacteria, including F. nucleatum and Leptotrichia, were significantly more abundant in the tumour mucosa, and these two bacteria were also more enriched in tumours of advanced CRC stages (III-IV). We obtained 53 Fusobacterium genomes from the saliva, tumour and non-tumour mucosa of six CRC patients. Isolates from the gut mucosa belonged to diverse F. nucleatum subspecies (nucleatum, animalis, vincentii, polymorphum) and a potential new subspecies of F. periodonticum. The Fusobacterium population within each individual was distinct and in many cases diverse, with minimal intra-clonal variation. Phylogenetic analyses showed that within each individual, tumour-associated Fusobacterium were clonal to those isolated from non-tumour mucosa, but distantly related to those isolated from saliva. Genes encoding major virulence factors (Fap2 and RadD) showed variability in length and evidence of horizontal gene transfer. Our work provides a framework to understand the genomic diversity of Fusobacterium within the CRC patients, which can be exploited for the development of CRC diagnostic and therapeutic options targeting this oncobacterium.

microbiology↗

bioRxiv2019

Pro-Resolving Mediator Profiles And 5-Lipoxygenase Activity In Cerebrospinal Fluid Correlate with Disease Severity and Outcome in Adults with Tuberculous Meningitis

Tuberculous meningitis (TBM) is the most lethal form of tuberculosis infection, characterized by a dysregulated immune response that frequently leads to neurological injury and death despite the best available treatment. The mechanisms driving the inflammatory response in TBM are not well understood. To gain insights into these mechanisms we used a lipid mediator profiling approach to investigate the regulation of a novel group of host protective mediators, termed specialized pro-resolving mediators (SPM), in the cerebrospinal fluid (CSF) of adults with TBM enrolled into a randomised placebo-controlled trial of adjunctive aspirin treatment. We found distinct lipid mediator profiles with increasing disease severity, changes that were linked with an upregulation of inflammatory eicosanoids in patients with severe TBM and a decrease in the production of a number of 5-lipoxygenase (ALOX5)-derived SPM. CSF pro-resolving mediator concentrations were also associated with 80-day survival. In survivors, we found a significant increase in pro-resolving mediator concentrations, including the ALOX5-derived resolvin (Rv)T2, RvT4 and 15-epi-Lipoxin (LX)B4, compared to those who died. Aspirin administration increased the ratio of pro-resolving to pro-inflammatory mediators decreasing the concentrations of the prothrombic mediator TxA2, changes that were linked with early reductions in brain infarcts and deaths. Together, these findings identify a CSF SPM signature that is associated with disease severity and 80-day mortality in TBM. Furthermore, the therapeutic manipulation of the ratio between pro-resolving mediators and pro-inflammatory/thrombogenic mediators in the CSF, by aspirin for example, offers a novel treatment strategy to reduce the morbidity and mortality caused by TBM.\n\nAuthors SummaryInfections of the brain and the meninges by Mycobacterium tuberculosis (M. tb) lead to severe inflammation and are associated with poor outcomes. The mechanisms leading to this disease remain poorly defined. Herein, we investigated how M. tb infection regulates the concentrations of specialized pro-resolving mediators that are central in controlling the bodys ability to clear infections. In these investigations, we found that disease survival was linked with increased concentrations of a number of these protective molecules including resolvins and lipoxins. Treatment of M. tb-infected patients with aspirin decreased the production of the immunosuppressive and thrombogenic mediator thromboxane A2 improving the balance between protective and inflammatory molecules. Of note, these changes were linked with reduced disease severity and improved survival. Therefore, the present findings suggest a previously unappreciated role for pro-resolving mediators in TBM pathogenesis.

immunology↗

bioRxiv2019

Mutations in pmrB confer cross-resistance to the LptD inhibitor POL7080 and colistin in Pseudomonas aeruginosa

Pseudomonas aeruginosa is a major bacterial pathogen for which there is rising antibiotic resistance. We evaluated the resistance mechanisms of P. aeruginosa against POL7080, a species-specific, first-in-class antibiotic in phase 3 clinical trials targeting the lipopolysaccharide transport protein LptD. We found resistance mutations in the two-component regulator pmrB. Genome-wide transcriptomics and confocal microscopy studies together suggest that POL7080 is vulnerable to the same resistance mechanisms described previously for polymyxins, including colistin, that involve lipid A modifications to mitigate antibiotic cell surface binding.

microbiology↗