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#pathogen

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X is terrible, but after the Meta news on explicitly allowing transphobia / transmisia, overall it's just been a tough week.
Idk what I have but my asthma attack started last week. Elevated neutrophils indicate bacterial infection, my GP said? So either it was "probably viral" like the OoH 111 GP said and became bacterial as well, or I was unlucky that it was bacterial to begin with.

I've been on Prednisolone, a corticosteroid since the 9th; then last night I started Doxycyline, an antibiotic, and Montelukast.
Montelukast is a leukotriene receptor antagonist, so it blocks leukotrienes, my patient pamphlet says.

Got a chest X ray out of it, at least. (Had back pain behind my ex-gallbladder since its removal anyway.)
Let this be a lesson not to lessen your mask discipline or stubbornness when other people peer pressure you to take risks with your health.
This is my first asthma exacerbation in a decade and I do not want to continue experiencing this. I do not recommend it. The people telling me I was 'paranoid', 'over-thinking it', 'worried about nothing' and more do NOT have to feel what I am feeling.

Teenage boys in public who choose to whine at me and intentionally coughing towards me (what?!!?) is super aggressive, creepy, entitled, and harmful to everyone witnessing that. Still, my upper and mid back has not stopped aching. I don't get fevers and I don't have a cough. Only you know your body.

Some people choose to care about harm reduction; others don't. Do right by yourself and do your sustainable best by others. I believe in you!

youtube.com/watch?v=My_wEXmNgt

Emergence of a New #Pathogen: A Retrospective Study of #HPeV-5 Central Nervous System Disease in #Alberta#Canada

Source: Viruses, AbstractHuman parechoviruses (HPeVs) are known to cause meningo-encephalitis among neonates and infants. We aimed to describe the epidemiology of HPeVs causing central nervous system infections in Alberta from 2014 to 2019 with comparison of known HPeV-3 and emerging HPeV-5. Genomic analysis was completed on a subset of HPeV-5 strains to…

etidioh.wordpress.com/2024/10/

ETIDIoH · Emergence of a New #Pathogen: A Retrospective Study of #HPeV-5 Central Nervous System Disease in #Alberta, #CanadaSource: Viruses, AbstractHuman parechoviruses (HPeVs) are known to cause meningo-encephalitis among neonates and infants. We aimed to describe the epidemiology of HPeVs causing central nervous syst…

“Is vaccine-induced immunity better than immunity from infection?

Vaccine-induced immunity is better because it’s safer. When you get infected with COVID, symptoms from the infection wreak havoc on your body. Whether or not you’ve been infected or vaccinated previously, the COVID booster is going to strengthen your immune responses to high levels and do so in a safe way.

Can I still get COVID if I’m vaccinated?

People who are vaccinated can still get COVID, but it is much more likely they will experience mild symptoms. Vaccinated people are much less likely to experience severe illness or get so sick that they need to be hospitalized. Data continue to show that those who are hospitalized with COVID are largely people who have not received a COVID vaccine within the past 12 months.

Particularly for people at higher risk of severe COVID, vaccination is an essential tool for reducing COVID complications, hospitalization, and death.

Can you get the flu shot and the COVID vaccine at the same time?

Yes! In fact, studies have shown that people who decide to spread out their vaccines into separate appointments often don’t follow through with getting both. We’ve also seen that the immune response generated by each vaccine does not change based on whether they are administered at the same time or separately.

It’s important to remember that many of the same populations at high risk of experiencing severe illness from COVID are also at high risk of severe influenza. Especially for these vulnerable populations, it’s a good idea to time your vaccines together.”

publichealth.jhu.edu/2024/what

Johns Hopkins Bloomberg School of Public HealthWhat to Know About Updated COVID Vaccines for 2024–25 | Johns Hopkins Bloomberg School of Public HealthThe updated COVID vaccine provides safe, effective protection against current variants for everyone 6 months and older.
#influenza#flu#justAflu

Understanding #Ecological #Systems Using Knowledge #Graphs: An Application to Highly Pathogenic Avian #Influenza, BioRxIV: biorxiv.org/content/10.1101/20

We describe the development of a graph to include a wide range of data related to #HPAI including #pathogen-host associations, animal #species distributions, and #human population #demographics, using a semantic ontology that defines relationships within the data and between datasets.

bioRxiv · Understanding Ecological Systems Using Knowledge Graphs: An Application to Highly Pathogenic Avian InfluenzaEcological systems are complex. Representing heterogeneous knowledge about ecological systems is a pervasive challenge because data are generated from many subdisciplines, exist in disparate sources, and only capture a subset of important interactions underpinning system structure, resilience, and dynamics. Knowledge graphs have been successfully applied to organize heterogeneous data systematically and to predict new linkages representing unobserved relationships in complex systems. Though not previously applied broadly in ecology, knowledge graphs have much to offer in an era of global change when system dynamics are responding to rapid changes across multiple scales simultaneously. We developed a knowledge graph to demonstrate the method's utility for ecological problems focused on highly pathogenic avian influenza (HPAI), a highly transmissible virus with a broad animal host range, wide geographic distribution, and rapid evolution with pandemic potential. We describe the development of a graph to include a wide range of data related to HPAI including pathogen-host associations, animal species distributions, and human population demographics, using a semantic ontology that defines relationships within the data and between datasets. We use the graph to perform a set of proof-of concept analyses validating the method and identifying new relationships and features of HPAI ecology, underscoring the generalizable value of knowledge graphs to ecology including their utility in revealing previously known relationships between entities and generating testable hypotheses in support of a deeper mechanistic understanding of ecological systems. ### Competing Interest Statement The authors have declared no competing interest.
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🌍 Impact
PathoGFAIR is set to improve pathogen tracking, providing robust tools for researchers and public health officials worldwide. By improving detection capabilities, we can better protect public health. 🌎🔬

📝 Preprint: biorxiv.org/content/10.1101/20
🔗 Blogpost: galaxyproject.org/news/2024-07

@bebatut
#metagenomics #pathogen #UseGalaxy (6/6)

bioRxiv · PathoGFAIR: a collection of FAIR and adaptable (meta)genomics workflows for (foodborne) pathogens detection and trackingBackground Food contamination by pathogens poses a global health threat, affecting an estimated 600 million people annually. During a foodborne outbreak investigation, microbiological analysis of food vehicles detects responsible pathogens and traces contamination sources. Metagenomic approaches offer a comprehensive view of the genomic composition of microbial communities, facilitating the detection of potential pathogens in samples. Combined with sequencing techniques like Oxford Nanopore sequencing, such metagenomic approaches become faster and easier to apply. A key limitation of these approaches is the lack of accessible, easy-to-use, and openly available pipelines for pathogen identification and tracking from (meta)genomic data. Findings PathoGFAIR is a collection of Galaxy-based FAIR workflows employing state-of-the-art tools to detect and track pathogens from metagenomic Nanopore sequencing. Although initially developed for foodborne pathogen data, the workflows can be applied to any metagenomic Nanopore pathogenic data. PathoGFAIR incorporates visualisations and reports for comprehensive results. We tested PathoGFAIR on 130 benchmark samples containing different pathogens from multiple hosts under various experimental conditions. Workflows have successfully detected and tracked expected pathogens at least at the species rank in both pathogen-isolated and non-pathogen-isolated samples with sufficient Colony-forming unit and Cycle Threshold values. Conclusions PathoGFAIR detects the pathogens or the subspecies of the pathogens in any sample, regardless of whether the sample is isolated or incubated before sequencing. Importantly, PathoGFAIR is easy to use and can be straightforwardly adapted and extended for other types of analysis and sequencing techniques, making it usable in various pathogen detection scenarios. PathoGFAIR homepage: <https://usegalaxy-eu.github.io/PathoGFAIR/> ### Competing Interest Statement The authors have declared no competing interest. * ### List of Abbreviations AMR : Antimicrobial resistance API : Application Programming Interface CFU : Colony-forming unit Ct : Cycle Threshold EFSA : European Food Safety Authority EU : European Union FAIR : Findable Accessible Interoperable Resulable GTN : Galaxy Training Network IWC : Intergalactic Workflow Commission MLST : Multilocus sequence typing NGS : Next-Generation Sequencing QC : Quality Control RKI : Robert Koch Institute SNP : Single-nucleotide polymorphism SRA : Sequence Read Archive VF : Virulence Factor VFDB : Virulence Factor database WHO : World Health Organization WGS : Whole Genome Sequencing