➡️ Acrux XBB.2.3 was first spotted in India (Karnataka) & then in the USA—origin is somewhat unclear.
Here is the animated map by @Mike_Honey_ showing the spread of the XBB.2.3.* "Acrux" variant around the world. 2/
➡️ Singapore (26%) and India (22%) are still the hotspots.
Spain (11%) and Australia (8%) are also showing recent growth.
Spotted in many other countries including Japan, South Korea, China, the UK & the US. 3/
Though it is present in China & Japan, but still trying to find its way through some other dominant XBBs like XBB.1.5, XBB.1.16, XBB.1.9 etc 4/
➡️ #Acrux is evolving fast in to many offsprings, and one of its descendants, XBB.2.3.2 is considered to be the fastest.
According to @LongDesertTrain, XBB.2.3.2 also has an interesting mute ORF1a:R2159W (NSP3_R1341W) that has shown up in several fast-growing lineages 5/
➡️ In India, the share of #Acrux XBB.2.3 is increasing, but still it is not able to outcompete currently dominant #Arcturus. However, its offspring XBB.2.3.2 may have some edge over it 6/
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/
➡️ Compared with healthy controls,
✔ Long COVID patients had blunted morning cortisol peaks
✔ Higher evening cortisol
✔ Loss of normal circadian pattern
Blood cortisol alone failed to detect these changes. 2/
Key insight:
➡️ Salivary cortisol profiling may be a more sensitive marker of stress-system dysfunction in LongCOVID than standard blood tests.
➡️ HPA axis disruption could underlie:
• Fatigue
• Brain fog
• Sleep disturbance
• Dysautonomia. 3/