Abstract:
Long COVID has become a significant global health and economic burden, yet there are currently no established diagnostic tools to identify which patients might benefit from specific treatments. One of the major pathophysiological factors contributing to Long COVID is the presence of hypercoagulability; this results in insoluble amyloid microclots that are resistant to fibrinolysis.
Our previous research using fluorescence microscopy has demonstrated a significant amyloid microclot load in Long COVID patients. However, this approach lacked statistical robustness, objectivity, and rapid throughput. In the current study, we have used imaging flow cytometry for the first time to show significantly increased concentration and size of these microclots.
We identified notable variations in size and fluorescence between microclots in Long COVID and those of controls even using a 20x objective. By combining cell imaging and the high-event-rate nature of a conventional flow cytometer, imaging flow cytometry can eliminate erroneous results and increase accuracy in gating and analysis beyond what pure quantitative measurements from conventional flow cytometry can provide.
Although imaging flow cytometry was used in our study, our results suggest that the signals indicating the presence of microclots should be easily detectable using a conventional flow cytometer. Flow cytometry is a more widely available technique which has been used in pathology laboratories for decades, rendering it a potentially more suitable and accessible method for detecting microclots in individuals suffering from both Long COVID and other conditions with similar pathology, such as myalgic encephalomyelitis.
Source: Turner, Simone and Laubscher, Gert Jacobus and Khan, M. Asad and Kell, Douglas and Pretorius, Etheresia, Rapid Flow Cytometric Analysis of Fibrin Amyloid Microclots in Long COVID. Available at SSRN: https://ssrn.com/abstract=4405265 or http://dx.doi.org/10.2139/ssrn.4405265 https://assets.researchsquare.com/files/rs-2731434/v1/0b4877b0-99fa-499c-9d65-3b6e43865d86.pdf?c=1680099696 (Full text)