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Biology subjects

Luo, B.

Publications and source records attributed to Luo, B..

At least 19 recordsLinked to original sources

Transcriptomic similarity guides source selection beyond tissue lineage

Perturbational and pharmacogenomic maps remain incomplete across cellular contexts, leaving a practical source-selection question before response prediction: which measured context should inform an unmeasured target? We tested whether baseline transcriptomic similarity ranks candidate sources for held-out targets, separating source ranking from aggregation and transfer-uncertainty decisions. Similarity tracked matched-response concordance in LINCS and GSE306429; selected-source utility exceeded random expectation in GSE306429 ({Delta}U = 0.034; P = 0.002) and in exact-time-matched MIX-Seq tasks ({Delta}U = 0.046). In the full GDSC2 analysis, the drug-balanced ranking effect was 0.359 (95% CI, 0.337-0.383). In a lineage-restricted analysis of the same eligible subset, within-tissue ranking remained positive at 0.130 (95% CI, 0.119-0.141), retaining 35.8% of the same-subset global effect (0.363; 95% CI, 0.342-0.386). Global transcriptomic top-1 selection exceeded tissue-matched random selection by 0.154 (95% CI, 0.143-0.164). Thus, baseline similarity adds source-ranking information after tissue matching in the evaluated setting, while ranking alone does not resolve whether to aggregate sources or how to quantify transfer uncertainty.

bioinformatics↗

Lysosomal Glycosaminoglycan Catabolism Regulates Microglial Cell State in the Developing CNS

Remodeling of the extracellular matrix (ECM), a complex structural and signaling network of the nervous system, is essential for CNS development, plasticity, and injury responses, yet how individual neural cell types contribute to this process remains poorly understood. Here, we show that phagocytic clearance of glycosaminoglycans (GAGs), major components of the ECM, is an intrinsic function of microglia in the developing CNS. Our studies reveal an unexpected finding that impaired GAG clearance shifts microglia toward a non-homeostatic cell state seen in immature and disease-associated microglia (DAM), supporting a reciprocal relationship between the ECM and microglia. Using mouse models of Mucopolysaccharidosis VII, we examined the consequences of deleting {beta}-glucuronidase (GUSB), a lysosomal enzyme required for GAG degradation. Loss of GUSB causes early accumulation of undegraded chondroitin sulfate within microglial lysosomes, as confirmed by LC-MS analysis of intracellular GAGs isolated from cortical microglia. Single-cell RNA sequencing identified Gusb-null microglia as a distinct transcriptional population enriched for a core transcriptome shared by immature and disease-associated microglia. Together, these findings establish lysosomal GAG catabolism as a pathway that links ECM remodeling to the acquisition of adult homeostatic microglial identity during CNS development.

neuroscience↗

The miR319-targeted TCP transcription factors play crucial roles in the establishment of Arabidopsis thaliana shoot architecture in response to carbon and nitrogen availability.

Shoot branching is a highly plastic developmental process that allows plants to adjust their architecture to environmental conditions, such as carbon and nitrogen availability. Although the class II TCP transcription factor BRANCHED1 is a well-established repressor of shoot branching, the contribution of other TCP factors during this process remains less well understood. Here, we show that the miR319-targeted TCP module promotes shoot branching in Arabidopsis thaliana. Overexpression of miR319 reduced rosette branch production, whereas repression of TCP3 activity or triple knockout (KO) mutation in TCP3, TCP4 and TCP10 inhibited branching. Conversely, expression of a miR319-resistant TCP3 triggered a highly branched phenotype, indicating that TCP3 and related miR319 targets act as positive regulators of shoot branching. Genetic analysis with the strigolactone-deficient max4 mutant showed that strigolactones mediate, at least partly, the reduced branching observed in the miR319 overexpressing line and in the tcp3,4,10 triple mutant. Transcriptomic and DNA-binding analyses indicated indirect effect of TCP3 on strigolactone biosynthesis genes. Instead, miR319 overexpression increased the sensitivity of branching to nitrogen limitation and reduced nitrate uptake, thereby increasing the expression of strigolactone synthesis genes. We further show that carbon starvation reduced the transcription levels of miR319-targeted TCPs, independently of miR319 accumulation, and that TCP3 may connect carbon availability to sugar signalling via HEXOKINASE1. Together, our results identify the miR319-targeted TCP module as a positive regulator of shoot branching that links plant architecture to carbon and nitrogen availability.

plant biology↗

Rate of osmotic pressure change in drying saliva microdroplets drives inactivation of surrogate respiratory bacteria

Airborne transmission of respiratory pathogens depends on their ability to remain viable in drying respiratory droplets, yet the physicochemical drivers of bacterial inactivation during droplet evaporation remain poorly quantified. This study combines controlled droplet experiments with physicochemical modeling to investigate how osmotic pressure dynamics influence bacterial survival. Using Escherichia coli and Staphylococcus epidermidis as Gram-negative and Gram-positive surrogates, respectively, we measured viability loss in artificial saliva droplets dried at multiple relative humidities and reconstructed the time-resolved osmotic pressure using the Respiratory Aerosol Model (ResAM). Both organisms remained stable while droplets were liquid but lost viability following efflorescence, when rapid solute concentration changes produced sharp osmotic pressure increases. The extent of inactivation scales log-linearly with the rate of osmotic pressure change around efflorescence: E. coli decays faster than S. epidermidis, and relationships derived in artificial saliva predict survival in independent phosphate-buffered saline experiments. A more rapid drop in humidity led to more severe osmotic shocks and greater inactivation. These results identify the rate of osmotic pressure change during efflorescence as a quantitative, medium-independent predictor of bacterial survival in drying respiratory droplets. ImportanceAirborne infection risk depends on how long microorganisms remain viable in respiratory particles after exhalation, yet the physical mechanisms controlling bacterial survival during droplet drying are not well defined. Evaporation of respiratory droplets concentrates salts and can impose sudden and extreme osmotic stress on microbes, but this process has been difficult to quantify because osmotic pressure cannot be measured directly inside microscopic droplets. Integration of droplet experiments with a physicochemical aerosol model shows that bacterial inactivation is governed primarily by the rate of osmotic pressure increase during droplet efflorescence rather than by static values of humidity or solute concentration alone. This mechanism explains why rapid drying may produce strong inactivation.

microbiology↗

EnzCast: Prediction of Patient-Specific Enzymatic Kinetics through Multi-Modal Deep Learning and Isoform-Resolved Bayesian Inference based on Single-Cell Transcriptomics

Enzyme kinetic parameters underpin mechanistic biology but remain sparse in physiological context. We present EnzCast, a multi-modal framework jointly predicting Km, kcat, kcat/Km, and Ki from protein sequence, 3D structure, substrate chemistry, and experimental conditions, paired with IsoKin, an isoform-resolved Bayesian framework converting EnzCast priors into patient-specific in vivo kinetics. Trained on KinBench, the largest curated kinetics database, task-adaptive EnzCast achieved R2 = 0.413, 0.455, 0.227, and 0.105 for Km, Ki, kcat, and kcat/Km, surpassing all baselines on catalytic tasks. Systematic condition scans recovered compartment-specific pH direction inversion and pathway-level temperature responses. In a 20-patient colorectal cancer single-cell cohort, IsoKin reduced posterior uncertainty by 73.3% and 77.3%, revealing cell-type-specific rewiring. Orthogonal validation--scFEA flux, DepMap essentiality (permutation P = 0.0008) and TCGA survival-- provided mixed but directionally consistent support. Together, EnzCast and IsoKin bridge in vitro prediction, condition-aware biochemical interrogation and patient-resolved in vivo inference.

bioinformatics↗

Characterizing the metabolomes of microglia, astrocytes, and neurons in aging and Alzheimer's brains

Neurons and glia are distinct in their morphology, development, and function, possessing unique transcriptomes and proteomes, but little is known about their metabolomes. The challenge of brain cell metabolic profiling is to obtain a large number of cells for reliable analysis. Here, we purified microglia, astrocytes, and neurons from mouse brains, identifying >70 metabolites through targeted metabolomics and 9,854 metabolite features via untargeted metabolomics. We systematically characterized cell type-enriched metabolites and metabolic pathways, revealing an enrichment of glutathione (GSH) and polyamine metabolism in microglia. This enrichment was validated in vivo and showed significant decreases with aging and in an Alzheimers disease (AD) model. Notably, GSH and polyamine metabolism correlated strongly with chemokine-related gene expression. Disrupting the GSH pathway in microglia resulted in downregulation of chemokine-related genes, aberrant morphogenesis, and {beta}-amyloid deposition. Our results provide a valuable resource (https://metabolismocean.org/braincell) for metabolic studies related to aging, AD, and other neurological diseases.

neuroscience↗

LRP8 is a Receptor for Yellow Fever Virus

Yellow fever virus (YFV), an arbovirus causing substantial human morbidity and mortality, was the first human virus discovered over a century ago. The live-attenuated 17D vaccine is among the most successful vaccines in medicine. Despite the importance of YFV, its receptor has remained unknown. Here, we performed a barcoded, genome-wide human ORF library screen and identified LRP8 (also named APOER2) as a receptor for YFV. We show that LRP8 expression specifically boosts YFV infection in cell lines by promoting entry. AAV-mediated expression of human LRP8 in mouse liver aggravates infection and pathology. LRP8 knockdown abolishes YFV infection in brain cells, primary human hepatocytes, and notably in mosquitoes. Biochemically, LRP8 directly interacts with YFV particles via the viral envelope protein. This function of LRP8 is conserved across species, particularly in mosquitoes and primates. A soluble LRP8 decoy protein can block YFV infection in vitro and in mice, providing a potential therapeutic or prophylactic strategy. Our findings provide groundwork for understanding YFV entry, tropism, and pathogenesis, and may enable development of novel therapeutics to treat YFV infection.

microbiology↗

Genomic signatures associated with convergent funnel-web building behavior in spiders

Spiders exhibited diverse and intricate web-building behaviors, which represent a classic model for studying the evolution of complex traits. The funnel-web, a sheet-like web with a retreat tube, has evolved independently in several spider lineages, especially in the families Agelenidae and Macrothelidae. This repeated emergence of a complex behavior offers an example of this funnel-web building behavioral convergence. Here, we present a chromosome-level genome assembly of the agelenid spider Tamgrinia laticeps, along with annotated genomes of another agelenid spider Eratigena atrica, and a macrothelid Orientothele yani which convergently evolved funnel-web building behavior. Comparative genomic analysis of 15 spider species with diverse web-types revealed convergent signatures associated with funnel-web construction. Hundreds of genes tended to experience convergent shift in selective pressure, convergent positive section, and harbored convergent amino acid substitutions. These genes are associated with synaptic transmission (e.g., SLC6A3, Gabbr1, SNAP25), neuromuscular coordination (e.g., ine, VAChT), and behavioral regulation (e.g., Crtc1, Lrrc7). Notably, we detected identical convergent amino acid changes in VAChT and ine across all three funnel-web builders. Our findings demonstrate that convergent evolution of web architecture is linked to nervous system evolution, providing genomic insights into the basis of behavioral convergence.

genomics↗

Redirection of SARS-CoV-2 to phagocytes by intranasal sACE2-Fc as a universal decoy confers complete prophylactic protection

The rapid evolution of SARS-CoV-2 and other respiratory RNA viruses limits the success of current vaccines and antibody-based therapies. Engineered decoy receptors based on soluble angiotensin-converting enzyme 2 (sACE2) offer promising alternatives. Clinical-grade recombinant sACE2 inhibits SARS-CoV-2 replication in vitro but shows limited clinical success. This study reports an optimized sACE2 mutant fused to human IgG1 Fc (B5-D3), which redirects virus-decoy complexes to lysosomal degradation in macrophages. Intranasal prophylactic delivery of B5-D3 confers complete protection in SARS-CoV-2-infected K18-hACE2 mice. Abrogation of Fc effector functions compromises antiviral protection, indicating that Fc-mediated uptake of virus-decoy complexes is critical. Transcriptomic analysis suggests that B5-D3 induces early immune activation in lungs of infected mice. Bio-distribution and flow cytometry reveal selective targeting of airway phagocytes. In vitro assays confirm lysosomal degradation of virus-decoy complexes by macrophages without productive infection. These findings reveal a distinct antiviral mechanism via phagocytic clearance, supporting refined regimens for decoy treatments against SARS-CoV-2 and potentially other respiratory viruses.

immunology↗

A practical DNA data storage using expanded alphabet introducing 5-methylcytosine

DNA molecular is a promising next-generation data storage medium. Recently, it has been theoretically proposed that non-natural or modified bases can serve as extra molecular letters to increase the information density. However, the feasibility of the strategy is challenging due to the difficulty in synthesizing and the complex structure of non-natural DNA sequences. Here, we described a practical DNA data storage transcoding scheme named R+ based on expanded molecular alphabet by introducing 5-methlcytosine(5mC). We also demonstrated the experimental validation by encoding one representative file into several 1.3~1.6 kbps in vitro DNA fragments for nanopore sequencing. The results show an average data recovery rate of 98.97% and 86.91% with and without reference respectively. This work validates the practicability of 5mC in DNA storage systems, with a potentially wide range of applications. Availability & ImplementationR+ is implemented in Python and the code is available under the MIT license at https://github.com/Incpink-Liu/DNA-storage-R_plus

synthetic biology↗

Loss of PMR4 callose synthase results in salicylic acid-independent and broad-spectrum resistance to clubroot in Arabidopsis and Brassica napus

The clubroot disease caused by protist Plasmodiophora brassicae is one of the most important diseases of Brassica crops. Growing clubroot-resistant cultivars remains the most effective and practical approach to managing clubroot disease. However, resistance gene-mediated immunity is rapidly overcome in the field when new pathotypes arise. In this study, we identified PMR4 as a potential gene target for creating a novel clubroot-resistant source. Recessive PMR4 mutations in Arabidopsis thaliana conferred broad-spectrum resistance to multiple P. brassicae pathotypes, independent of salicylic acid-mediated plant immunity. CRISPR/Cas9-mediated gene-editing was employed to create mutations in two PMR4 orthologs in the B. napus genome, and resulting homozygous mutants exhibited dual resistance to powdery mildew and clubroot. PMR4 is required for the callose deposition at wound and powdery mildew infection sites in leaves. This study reveals that callose deposition in roots is induced by P. brassicae infection and requires PMR4. It appears that the clubroot disease progression is arrested at the primary-to-secondary infection phase in pmr4-1 mutants. Together, this study demonstrates that PMR4-encoded callose synthase is a host susceptibility factor required for P. brassicae to complete its life cycle, and that PMR4 can be targeted against both powdery mildew and clubroot diseases in Brassica crops.

plant biology↗

Comparative Characterization of Bronchial and Nasal Mucus Reveals Key Determinants of Influenza A Virus Inhibition

Differentiated primary human respiratory epithelial cells grown at air-liquid interface have become a widely used cell culture model of the human conducting airways. These cultures contain secretory cells such as goblet and club cells, which produce and secrete mucus. Here, we characterize the composition of mucus harvested from airway cultures of nasal and bronchial origin. We find that despite inter-donor variability, the salt, sugar, lipid, and protein content and composition are very similar between nasal and bronchial mucus. However, subtle differences in the abundance of individual components in nasal versus bronchial mucus can influence its antimicrobial properties: The ability of mucus to neutralize influenza A virus varies with the anatomical origin of the airway cultures and correlates with the abundance of triglycerides and sialylated glycoproteins and glycolipids. ImportanceRespiratory mucus plays an important role during the transmission and infection process of microbes in the human respiratory tract. In case of influenza A virus, mucus stabilizes virions in infectious respiratory particles and droplets but hampers virus particles before they reach the respiratory epithelium through its physicochemical properties and the presence of sialylated decoy receptors. However, it is thus far not well understood which components of mucus mediate protection and inhibition. Our study now provides a comprehensive analysis of bronchial and nasal mucus from primary human airway cultures that can be used as a resource for future experimental designs and interpretations.

microbiology↗

Dependence of aerosol-borne influenza A virus infectivity on relative humidity and aerosol composition

We describe a novel biosafety aerosol chamber equipped with state-of-the-art instrumentation for bubble-bursting aerosol generation, size distribution measurement, and condensation-growth collection to minimize sampling artifacts when measuring virus infectivity in aerosol particles. Using this facility, we investigated the effect of relative humidity (RH) in very clean air without trace gases (except [~]400 ppm CO2) on the preservation of influenza A virus (IAV) infectivity in saline aerosol particles. We characterized infectivity in terms of 99%-inactivation time, t99, a metric we consider most relevant to airborne virus transmission. The viruses remained infectious for a long time, namely t99 > 5 h, if RH < 30% and the particles effloresced. Under intermediate conditions of humidity (40% < RH < 70%), the loss of infectivity was the most rapid (t99 {approx} 15-20 min, and up to t99 {approx} 35 min at 95% RH). This is more than an order of magnitude faster than suggested by many previous studies of aerosol-borne IAV, possibly due to the use of matrices containing organic molecules, such as proteins, with protective effects for the virus. We tested this hypothesis by adding sucrose to our aerosolization medium and, indeed, observed protection of IAV at intermediate RH (55 %). Interestingly, the t99 of our measurements are also systematically lower than those in 1-L droplet measurements of organic-free saline solutions, which cannot be explained by particle size effects alone.

microbiology↗

Impact of Organic Compounds on the Stability of Influenza A Virus in deposited 1-ul droplets

The composition of respiratory fluids influences the stability of viruses in exhaled aerosol particles and droplets, though the role of respiratory organics in modulating virus stability remains poorly understood. This study investigates the effect of organic compounds on the stability of influenza A virus (IAV) in deposited droplets. We compare the infectivity loss of IAV at different relative humidities (RH) over the course of one hour in 1-l droplets consisting of phosphate-buffered saline (without organics), synthetic lung fluid, or nasal mucus (both containing organics). We show that IAV stability increases with increasing organic:salt ratios. Among the various organic species, proteins are identified as the most protective component, with smaller proteins stabilizing IAV more efficiently at the same mass concentration. Organics act by both increasing the efflorescence RH and shortening the drying period until efflorescence at a given RH. This research advances our mechanistic understanding of how organics stabilize exhaled viruses and thus influence their inactivation in respiratory droplets.

microbiology↗

Improvement in Outcomes and Prevention of Multiple Organ Dysfunction Syndrome After Cardiac Arrest and Successful Cardiopulmonary Resuscitation by Systemic Administration of Bumetanide in Male Mice

BACKGROUNDCardiac arrest (CA) and successful cardiopulmonary resuscitation (CPR) cause post-CA brain injury (PCABI) and extracerebral multiple organ dysfunction (EMOD), leading to low survival and disability in resuscitated patients. The pathogenesis of PCABI is still poorly understood, and no therapeutic-related factors have been identified to improve survival and neurological outcomes to date. Bumetanide is a promising pharmaceutical intervention for some neurological disorders that have some common pathophysiology with PCABI, and it also exhibit systemic protective effects on vital organs under pathological conditions. This study aims to investigate the protective effects of bumetanide on PCABI and EMOD after CA/CPR, and uncover the pathogenesis and biomarkers of PCABI at protein level. METHODSWe generated a hyperkalemia-induced asystole CA/CPR mouse model with bumetanide/vehicle treatment after resuscitation. Survival, neurological outcome, functional outcome, key pathophysiological process underlying PCABI, and injury level of EMOD were evaluated. Proteomics analysis of cerebral cortex was performed for investigating mechanisms of PCABI. RESULTSBumetanide significantly improved outcomes after CA/CPR and reduced the main pathophysiological processes of PCABI, including seizures, neurodegeneration, neuroinflammation, decreased cerebral blood flow, blood-brain barrier disruption, and oxidative stress. CA/CPR-induced injury in heart, lung, liver, kidney, spleen, adrenal gland, spinal cord, pennis, and urinary bladder were also alleviated by bumetanide. Proteomic study and experimental verification identified LCN2/NGAL is a potential biomarker for early neuroprognostication and has association with PCABI severity. CONCLUSIONSSystemic administration of bumetanide improved outcomes and prevented multiple organ dysfunction after CA/CPR. LCN2/NGAL is a novel biomarker for early neuroprognostication at 24 hours after CA/CPR. Clinical PerspectiveO_LIWhat Is New? O_LIPost-resuscitation bumetanide treatment could improve outcomes and prevent brain injury and extracerebral multiple organ dysfunction after hyperkalemia-induced asystole cardiac arrest in mice. C_LIO_LINeuronal subpopulations in cerebral cortex were selectively vulnerable, and all major organs had obvious tissue damage with inflammatory cell infiltration and tissue edema after resuscitation. C_LIO_LIThis the first study to identify the pathogenesis and biomarkers of post-cardiac arrest brain injury with proteomic studies, and LCN2/NGAL had a strong and graded association with pathogenesis of PCABI, which could be a marker for monitoring and neuroprognostication. C_LI C_LIO_LIWhat Are the Clinical Implications? O_LIBumetanide may be a novel pharmacological therapy to improve survival and neurological outcomes in post-resuscitation care, and cerebral-specific quantification of LCN2/NGAL could be used for early neuroprognostication at 24 hours after cardiac arrest. C_LIO_LIExtracerebral multiple organ injury is common and severe after resuscitation, which needs to be given more attention in clinical management. C_LI C_LI

physiology↗

StereoMM: A Graph Fusion Model for Integrating Spatial Transcriptomic Data and Pathological Images

Spatially resolved omics technologies generating multimodal and high-throughput data lead to the urgent need for advanced analysis to allow the biological discoveries by comprehensively utilizing information from multi-omics data. The H&E image and spatial transcriptomic data indicate abundant features which are different and complementary to each other. AI algorithms can perform nonlinear analysis on these aligned or unaligned complex datasets to decode tumoral heterogeneity for detecting functional domain. However,the interpretability of AI-generated outcomes for human experts is a problem hindering application of multi-modal analysis in clinic. We presented a machine learning based toolchain called StereoMM, which is a graph fusion model that can integrate gene expression, histological images, and spatial location. StereoMM firstly performs information interaction on transcriptomic and imaging features through the attention module, guaranteeing explanations for its decision-making processes. The interactive features are input into the graph autoencoder together with the graph of spatial position, so that multimodal features are fused in a self-supervised manner. Here, StereoMM was subjected to mouse brain tissue, demonstrating its capability to discern fine tissue architecture, while highlighting its advantage in computational speed. Utilizing data from Stereo-seq of human lung adenosquamous carcinoma and 10X Visium of human breast cancer, we showed its superior performance in spatial domain recognition over competing software and its ability to reveal tumor heterogeneity. The fusion approach for imaging and gene expression data within StereoMM aids in the more accurate identification of domains, unveils critical molecular features, and elucidates the connections between different domains, thereby laying the groundwork for downstream analysis.

bioinformatics↗

The subcommissural organ regulates brain development via secreted peptides

The subcommissural organ (SCO) is a gland located at the entrance of the aqueduct of Sylvius in the brain. It exists in species as distantly related as amphioxus and humans, but its function is largely unknown. To explore its function, we compared transcriptomes of SCO and non-SCO brain regions and found three genes, Sspo, Car3, and Spdef, that are highly expressed in the SCO. Mouse strains expressing Cre recombinase from endogenous promoter/enhancer elements of these genes were used to genetically ablate SCO cells during embryonic development, resulting in severe hydrocephalus and defects in neuronal migration and development of neuronal axons and dendrites. Unbiased peptidomic analysis revealed enrichment of three SCO-derived peptides, namely thymosin beta 4, thymosin beta 10, and NP24, and their reintroduction into SCO-ablated brain ventricles substantially rescued developmental defects. Together, these data identify a critical role for the SCO in brain development.

neuroscience↗

Stability of influenza A virus in droplets and aerosols is heightened by the presence of commensal respiratory bacteria.

Aerosol transmission remains a major challenge for the control of respiratory viruses, particularly for those that cause recurrent epidemics, like influenza A virus (IAV). These viruses are rarely expelled alone, but instead are embedded in a consortium of microorganisms that populate the respiratory tract. The impact of microbial communities and inter-pathogen interactions upon the stability of transmitted viruses is well-characterised for pathogens of the gut, but is particularly under-studied in the respiratory niche. Here, we assessed whether the presence of 5 different species of common commensal respiratory bacteria could influence the stability of IAV within droplets deposited on surfaces and within airborne aerosol particles at typical indoor air humidity. It was found that bacterial presence within stationary droplets, either a mixed community or individual strains, resulted in 10- to 100-fold more infectious IAV remaining after 1 hour. Bacterial viability was not required for this viral stabilisation, though maintained bacterial morphology seemed to be essential. Additionally, non-respiratory bacteria tested here had little stabilising effect, indicating this phenomenon was respiratory-specific. The protective bacteria stabilised IAV in droplets via induction of early efflorescence due to flattened droplet morphology during drying. Even when no efflorescence occurred at high humidity or the bacteria-induced changes in droplet morphology were abolished by aerosolization instead of deposition on a well-plate, the bacteria remained protective. This indicates an additional stabilisation mechanism that is currently unknown. Notably, respiratory bacteria at equivalent density offered varying degrees of protection in droplets, with the Gram-positive species Staphylococcus aureus and Streptococcus pneumoniae being the most robustly stabilising. This suggests that the composition of an individuals respiratory microbiota could be a previously un-considered host-specific factor influencing the efficacy of expelled viral spread. Identifying novel host-specific factors such as the commensal microbiota that can influence viral stability in the environment will further increase our understanding of individual transmission risks, and will provide novel opportunities to limit the spread of respiratory infections within our populations. SynopsisOur findings have significant environmental and health relevance, as they identify the host respiratory microbiota as a novel factor potentially contributing to environmental viral stability within indoor environments.

microbiology↗