The "devil's pact" between the VIRUS and the ASYMPTOMATICS !
In an exciting study, researchers have shown, how human behavior can change the evolution of the virus.
2) When the virus evolved from the Wuhan strain to the Delta, due to the measures to limit its transmission, the virus adapted and evolved, by multiplying by 5 the maximum viral load and by 1.5 in the nb of days before the viral load peaks.
3) When Omicron appeared, researchers discovered that BA.1 showed an earlier peak time and shorter viral shedding compared with the pre-Alpha and Alpha variants (Fig. 4b, c).
4) The reduction of the incubation period, from 6.65 days for the pre-Alpha, 5.00 days for the Alpha, 4.50 days for the Beta, 4.41 days for the Delta, and 3.42 days for the Omicron variants, generated more asymptomatics.
5) From the perspective of virus evolution, which maximizes the basic/effective reproduction number, the evolution of a higher proportion of asymptomatic infection is always favored, because transmissions are not limited, when those infected individuals are not isolated.
6) More asymptomatics, and therefore even fewer measures to limit the spread of the virus, which could thus spread almost "invisibly", in as many hosts as possible.
A pact with this evil virus, where the losers are humans.
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers JN.1 WAVES with HIGH VIRAL PEAKS in wastewater data
(Part 2)
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers 8) In previous tweets we explained that the characteristics of Omicrons were:
- a viral load which arrives earlier and lasts less time
- an increase in asymptomatics
Virus transmission occurs from an infected individual to susceptible individuals
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers 9) ...depending on the infected individual’s infectivity, which depends on their viral load.
Why, if the viral load is lower per individual, are we seeing such viral peaks? To understand this, we need to go back to the transmission potential RTP
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers 10) ...which is calculated from the sum of newly infected individuals [number of contacted individuals per day] × [transmission probability per contacted individual]).
The paradox is that the more asymptomatic people you have (who contaminate without knowing it),
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers 11) ... the faster the transmission, especially if the peak occurs earlier.
And this, even if the viral peak per individual is lower than in the pre-alpha variants.
JN.1 characterizes an evolution of a “stealth” phenotype showing a decreased peak viral load per individual
@DavidJoffe @RadCentrism @UseBy2022 @RealCheckMarker @RolandBakerIII @arijitchakrav @white_bite @AltenbergLee @xabitron1 @triangle24 @gianlucac1 @siamosolocani @crwequine @kasza_leslie @outbreakupdates @NjbBari3 @MeetJess @LauraMiers 12) ...with a high proportion of asymptomatic infection.
We are therefore witnessing a decoupling between the evolution of virus phenotype and the evolution of clinical phenotype.
Thanks for reading 🙏
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Why is Identifying "Non-Trivial SARS-CoV-2 Population Structure within Hosts" Important for Understanding SARS-COV-2 Evolution and the Emergence of New Variants?
2) The "non-trivial population structure" refers to the viral population within a host consisting of two or more distinct, independently evolving subpopulations, rather than a single, homogeneous population.
3) The key points about non-trivial population structure are:
▶️ It was relatively common, found in 5 out of the 9 chronic SARS-CoV-2 infection cases examined.
▶️ It was more prevalent in severely immunocompromised individuals compared to those not significantly immunocompromised
2) Viruses are not living things. They are tiny particles that can only make copies of themselves inside the cells of living things, like humans. When a virus makes copies of itself, it doesn't always make perfect copies.
3) Sometimes, little mistakes happen, and the new virus has a small change, or mutation, in its genes.
Most of the time, these mutations don't do anything useful for the virus. But every now and then, a mutation might happen that makes the virus better at infecting people.
2) This study looks at the risks of COVID-19 for people traveling to space.
Space travel is becoming more common, with over 600 people having gone to space. But COVID-19 could be a big problem for astronauts in the unique environment of space.
3) The study aims to understand how COVID-19 might behave differently in space compared to on Earth.
The researchers reviewed studies on other airborne diseases in space. They found that some diseases, like Epstein-Barr virus and Serratia bacteria ...
From Lung Damage to Gut Dysbiosis:
The Lasting Implications of SARS-CoV-2 Variant-Specific Microbiome Changes (From Wuhan strain to Omicron) labanimres.biomedcentral.com/articles/10.11…
2) The Wuhan strain of SARS-CoV-2 caused serious damage to the lungs of infected mice. The mice had a very high chance of dying from this strain. The researchers also looked at the bacteria in the lungs and guts of the infected mice.
3) The Wuhan strain increased harmful bacteria like E. coli in the lungs. This can make the lungs more prone to other infections.
The Omicron variant caused different changes in the gut bacteria of the mice. It increased certain bacteria linked to inflammation in the gut.
What are GAMMA CORONAVIRUSES ?
And why did we decide to talk about it?
2) A brief reminder :
▶️ SARS-CoV-2 belongs to the family Coronaviridae, is classified as a coronavirus and is responsible for COVID-19
▶️ Bird Flu refers to various strains of the influenza virus, particularly those in the Orthomyxoviridae family including H5N1 and H7N9.
3) ▶️ Gammacoronavirus belongs to the family Coronaviridae like SARS-COV-2.
Some notable gammacoronaviruses include:
- Infectious Bronchitis Virus (IBV): A major pathogen in poultry responsible for respiratory disease and reduced egg production.
A TREATMENT that Could Finally END Long COVID Suffering ?
This isn't the first time a treatment has been announced, and as millions continue to struggle with long Covid, we need to remain both cautious and hopeful 🤗
2) Researchers at WEHI announced that they discovered a new drug that can stop long COVID symptoms in mice. This drug is more effective than the current top treatment, Paxlovid, for both long COVID and acute COVID cases.
3) They focused on a specific protein called PLpro that other treatments haven't targeted well. This breakthrough could lead to new medicines for long COVID, a condition where people continue to feel sick long after their COVID-19 infection.