It has been a month when @siamosolocani 1st flagged this variant. Later, I started tracking it. We are still amid an ongoing surge, it’s time to take a stock of the situation: what we do know, what we don’t 1/
1-XBB.1.16 has succeeded in creating a new, significant surge in India after a gap of >6 months. A feat that even BA.5, BQ.1 & XBB.1.5 failed to achieve! 2/
2-XBB.1.16 definitely has got a growth advantage & more fitter than other circulating XBBs & has even replaced some other similar sublineages like XBB.1.5 & XBB.1.9 3/ @vinodscaria
3-XBB.1.16 is definitely not a more pathogenic variant than other Omicron’s progenies
4-This variant is still evolving, adding few more mutations. But not all new mutations are beneficial to the virus (i.e. E180V). 4/
5-The chances of XBB.1.16 leading a new, significant wave (i.e. the 4th wave) akin to Jan’ 22 BA.2 wave are remote 5/ @JPWeiland
6-The new surge in cases is yet to peak in India. According to @JPWeiland India is more than 2 weeks from peak cases. 6/
And, now let’s see what we still don’t know:
1-How big this new surge would be?
2-What are the key factors responsible for making XBB.1.16 a more fitter variant than its contemporaries? Higher immune evasion?
Higher infectiousness, i.e. higher ACE2 binding? 7/
We know XBB.1.5 & XBB.1.16 have almost similar Spike barring a few Spike mutations. However, above study suggests that mutations in the non-Spike region may be responsible for increased viral growth of XBB.1.16 10/
The above mentioned study & some early work done by @StuartTruvile in NSW, Australia points that XBB.1.16 is not more immune evasive than XBB.1.5. @StuartTurville calls it “super similar to XBB.1.5 in neut evasion”. 11/
Now, If it's not immune evasion, is the growth advantage is because of stronger ACE2 binding then?
No, in fact, the entry into cells is similar as with Omicrons including XBB.1.5. @StuartTurville has shown this 👇 12/
Most evolutionary biologists now agree to believe that the increased fitness is mainly due to changes at non-Spike region of this variant.
Acc to @LongDesertTrain ORF1a:L3829F is probably the key mute responsible for its advantage over XBB.1.9 13/
As per @SolidEvidence mutation in NSP6 of ORF1ab may be behind this higher fitness 14/
Now, most experts believe the extra mutations at ORF9b & ORF1a are responsible to give “teeth” to this variant.
ORF9b is thought to be involved with suppressing interferon response, so they might make the virus slightly fitter by counteracting the innate immune system. 15/
We still don’t know whether XBB.1.16 will become a global thing replacing the existing dominant variant XBB.1.5. However, all the indications point it will. This is the current projection by @JPWeiland for the US (an update on the CDC graph) 16/
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New research finds that SARS-CoV-2 spike protein can persist in the gut of people with #LongCOVID, even months after infection.
➡️ This persistent viral antigen may drive ongoing immune changes in intestinal tissue.
➡️ Scientists detected viral spike RNA and protein in colon and ileum biopsies from Long COVID patients.
➡️ In these regions, genes linked to inflammation, immune dysfunction, and tissue stress were altered. 1/
Persistent spike-positive areas in the colon showed increased immune cell activity, including:
• Macrophages
• Plasma cells
• Regulatory T cells
Suggesting an active local immune response in the gut.
➡️ Researchers also found disrupted expression of key immune-signaling genes, indicating impaired immune coordination and chronic inflammation in gut tissues. 2/
SARS-CoV-2 persistence is a proposed driver of Long COVID (LC), but the in-situ relationship between residual viral antigen and immune dysregulation remains poorly defined.
➡️ This NEW study provides robust evidence that persistent SARS-CoV-2 Spike protein detection in the gut is not immunologically inert.
➡️ Instead, it is actively associated with distinct, immune cell composition shifts and a dysfunctional pro-inflammatory transcriptional profile, supporting the hypothesis that retained viral antigen drives chronic immune dysregulation in tissue of LongCOVID subjects. 3/
A small brain-imaging study found that people with #LongCOVID showed slower thinking and reaction times during a cognitive task.
➡️ Advanced MRI scans revealed changes in how important brain networks communicate with each other, especially those involved in attention, language, and decision-making. 1/
Researchers found altered connectivity in key brain networks:
• Salience network
• Language network
• Central executive network
• Sensorimotor and visual networks
➡️ These systems are essential for attention, decision-making, and task control. 2/
The most prominent deficits were seen in the salience network, which helps the brain detect and respond to important stimuli.
➡️ Connectivity problems in this network were more severe with longer illness duration. 3/