Scientists Reveal Hidden Blood Pattern That Could Explain Long COVID Symptoms
Researchers have uncovered a hidden pattern in the blood of people living with Long COVID. Their work shows a strong link between tiny microclots and structures called neutrophil extracellular traps (NETs). As a result, the discovery may help explain why some symptoms remain for months.
What Microclots Are
Microclots are unusual clumps of sticky proteins. They move through the bloodstream and may block tiny vessels. For example, they can reduce oxygen flow and trigger fatigue or brain fog. Prof. Resia Pretorius first identified them in 2021, which sparked global attention.
How NETs Work
NETs form when neutrophils release web-like strands to trap harmful microbes. They protect the body. However, too many NETs can fuel inflammation and clotting. This overproduction also appears in diseases like diabetes and arthritis.
How the Two Interact
Scientists from Stellenbosch University and the Montpellier Cancer Institute teamed up to explore this connection. They wanted to understand whether microclots and NETs build on each other in Long COVID.They compared blood samples from Long COVID patients and healthy volunteers. In addition, they studied circulating DNA and protein markers linked to NETs.
What the Study Found
The results showed clear differences:
* Long COVID patients had more microclots.
* Their microclots were also larger.
* NET-related markers appeared at much higher levels.
Therefore, researchers believe NETs may help microclots become more stable. This may make the microclots harder to break down, which can worsen symptoms.
AI Tools Strengthen the Findings
The team also used machine learning. The tools separated patient samples from healthy samples with high accuracy. They even revealed strong biomarker combinations that may guide future personalized care.This research opens the door to new treatments that target harmful clotting and inflammation. It also supports the search for better biomarkers to diagnose and track post-viral conditions.
