Researchers discovered persistent microclot and NET constructions in Lengthy COVID blood which will clarify long-lasting signs.
Researchers analyzing Lengthy COVID have recognized a structural connection between circulating microclots and neutrophil extracellular traps (NETs). The invention signifies that the 2 could work together within the physique in ways in which might result in dangerous results when these processes turn into unregulated.
Understanding Microclots
Microclots are irregular clusters of blood clotting proteins that transfer via the bloodstream. The time period entered scientific use in 2021, when Prof Resia Pretorius from Stellenbosch College’s Division of Physiological Sciences reported discovering these uncommon microclots in blood samples from individuals with COVID-19. The observation received widespread attention because of its potential relevance to clotting complications seen during the pandemic.
What NETs Do in the Immune System
Dr. Alain Thierry and his team at the Montpellier Cancer Institute (IRCM) at INSERM in Montpellier were among the first to show that NETs play a major role in COVID-19. NETs form during a process called NETosis, in which neutrophils release their DNA to create thin strands coated with enzymes that quickly trap and neutralize harmful microbes.
Although NETs are part of the body’s defenses, producing them in excessive amounts can contribute to inflammatory and clotting disorders. Such overproduction has been associated with severe infections, autoimmune diseases, cancer, diabetes, and arthritis. Dr. Thierry notes that ongoing and repeated NET formation, driven by inflammatory and clotting cycles, may worsen disease outcomes.
Investigating Microclot NETs Interactions in Long COVID
To explore whether microclots and NETs interact in Long COVID, the research teams led by Prof Pretorius and Dr Thierry joined forces. Their goal was to determine whether these two features of the blood might be linked in ways that help explain persistent symptoms.
Key Findings From the Analysis
Using imaging flow cytometry and fluorescence microscopy, the researchers conducted detailed measurements of microclots and NETs in the plasma of Long COVID patients and compared them to samples from healthy volunteers. They also evaluated NETs by examining proteic markers and circulating DNA.
Their study revealed several notable results:
- Biomarkers related to both microclots and NETs were significantly higher in Long COVID patients.
- Patients showed not only more microclots but also larger ones.
- The researchers identified a structural association between microclots and NETs in all subjects, which appeared far stronger in Long COVID patients.
“This finding suggests the existence of underlying physiological interactions between microclots and NETs that, when dysregulated, may become pathogenic,” explains Dr. Thierry.
AI Tools Improve Diagnostic Accuracy
Artificial Intelligence methods, including machine learning, were added to the biomarker analysis. These tools allowed the researchers to clearly differentiate between Long COVID patients and healthy individuals. The algorithms also highlighted the most informative biomarker combinations, offering potential pathways for personalized care.
According to Prof Pretorius, the findings point to a significant buildup of microclots in Long COVID patients, likely supported by an overproduction of NETs: “This interaction could render microclots more resistant to fibrinolysis, promoting their persistence in circulation and contributing to chronic microvascular complications,” she explains.
Implications for Treatment and Future Biomarkers
By identifying how NETs may help stabilize microclots, the study adds important insight into the biological processes underlying Long COVID. The results support the development of therapies aimed at reducing harmful clotting and inflammation.
The work also advances efforts to identify new biomarkers for diagnosing and monitoring post-viral conditions. As the researchers conclude, “The combination of advanced imaging techniques and machine learning confers methodological robustness and contributes significantly to the ongoing scientific discourse on post-viral syndromes,” they conclude.
Reference: “Circulating Microclots Are Structurally Associated With Neutrophil Extracellular Traps and Their Amounts Are Elevated in Long COVID Patients” by Alain R. Thierry, Tom Usher, Cynthia Sanchez, Simone Turner, Chantelle Venter, Brice Pastor, Maxine Waters, Anel Thompson, Alexia Mirandola, Ekaterina Pisareva, Corinne Prevostel, Gert J. Laubscher, Douglas B. Kell and Etheresia Pretorius, 2 October 2025, Journal of Medical Virology.
DOI: 10.1002/jmv.70613
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