Back

Digital holo-tomographic 3D maps of COVID-19 microclots in blood to assess disease severity

Bergaglio, T.; Synhaivska, O.; Nirmalraj, P.

2023-09-12 pathology
10.1101/2023.09.12.557318 bioRxiv
Show abstract

The coronavirus disease 2019 (COVID-19) has impacted health globally. Cumulative evidence points to long-term effects of COVID-19 such as cardiovascular and cognitive disorders diagnosed in patients even after the recovery period. In particular, micrometer-sized blood clots and hyperactivated platelets have been identified as potential indicators of long COVID. Here we resolve individual microclot structures in platelet-rich plasma of donors with different subphenotypes of COVID-19 in a label-free manner, using 3D digital holo-tomographic microscopy (DHTM). Based on 3D refractive index (RI) tomograms, the size, dry mass, and prevalence of microclot composites were quantified and then parametrically differentiated from fibrin-rich microclots and platelet aggregates in the plasma of COVID-19 donors. Importantly, fewer microclots and platelet aggregates were detected in the plasma of healthy controls when compared to COVID-19 donors. Our work highlights the utility of integrating DHTM in clinical settings that may allow the detection of individuals at risk of developing microvascular thrombotic disorders and for monitoring the efficiency of prescribed treatments by screening plasma samples.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Advanced Science
249 papers in training set
Top 0.1%
26.1%
2
Light: Science & Applications
16 papers in training set
Top 0.1%
17.6%
3
Analytical Chemistry
205 papers in training set
Top 0.3%
8.5%
50% of probability mass above
4
ACS Nano
99 papers in training set
Top 0.5%
6.4%
5
Scientific Reports
3102 papers in training set
Top 36%
3.6%
6
Nature Communications
4913 papers in training set
Top 39%
3.6%
7
Communications Biology
886 papers in training set
Top 3%
3.1%
8
eLife
5422 papers in training set
Top 32%
2.6%
9
EMBO Molecular Medicine
85 papers in training set
Top 1%
2.1%
10
iScience
1063 papers in training set
Top 10%
2.1%
11
Theranostics
33 papers in training set
Top 0.5%
1.9%
12
ACS Photonics
13 papers in training set
Top 0.3%
1.5%
13
Nature Biomedical Engineering
42 papers in training set
Top 1%
1.3%
14
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.2%
15
PLOS ONE
4510 papers in training set
Top 64%
0.9%
16
Cell Reports Methods
141 papers in training set
Top 4%
0.9%
17
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 41%
0.9%
18
Science Advances
1098 papers in training set
Top 28%
0.8%
19
Biosensors and Bioelectronics
52 papers in training set
Top 1%
0.8%
20
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
21
IEEE Transactions on Biomedical Engineering
38 papers in training set
Top 1%
0.5%
22
Cells
232 papers in training set
Top 9%
0.5%