Evidence map›Paper›PMID 36028998›Full record

ArticleBiophysical journal2022

Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19.

Elahe Javadi, He Li, Ander Dorken Gallastegi, Galit H Frydman, Safa Jamali, George Em Karniadakis

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Biomechanics of phagocytosis of red blood cells by macrophages in the human spleen.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Elahe JavadiDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts.
He LiSchool of Engineering, Brown University, Providence, Rhode Island; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, Georgia. Electronic address: he_li@brown.edu.
Ander Dorken GallastegiDivision of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, Massachusetts.
Galit H FrydmanDivision of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, Massachusetts; Department of Biological Engineering at the Massachusetts Institute of Technology, Cambridge, Massachusetts.
Safa JamaliDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts. Electronic address: s.jamali@northeastern.edu.
George Em KarniadakisSchool of Engineering, Brown University, Providence, Rhode Island; Division of Applied Mathematics and School of Engineering, Brown University, Providence, Rhode Island. Electronic address: george_karniadakis@brown.edu.
Massachusetts General Hospital · USNortheastern University · USBrown University · USUniversity of Georgia · US

Funding

Multifidelity and multiscale modeling of the spleen function in sickle cell disease with in vitro, ex vivo and in vivo validationsR01HL154150 · NHLBI · BROWN UNIVERSITY · PI Pierre BUFFET, Ming Dao · 2020 to 2026
$3.9M
NHLBI NIH HHS R01 HL154150
6 · The paper itself

Abstract

Microthrombi and circulating cell clusters are common microscopic findings in patients with coronavirus disease 2019 (COVID-19) at different stages in the disease course, implying that they may function as the primary drivers in disease progression. Inspired by a recent flow imaging cytometry study of the blood samples from patients with COVID-19, we perform computational simulations to investigate the dynamics of different types of circulating cell clusters, namely white blood cell (WBC) clusters, platelet clusters, and red blood cell clusters, over a range of shear flows and quantify their impact on the viscosity of the blood. Our simulation results indicate that the increased level of fibrinogen in patients with COVID-19 can promote the formation of red blood cell clusters at relatively low shear rates, thereby elevating the blood viscosity, a mechanism that also leads to an increase in viscosity in other blood diseases, such as sickle cell disease and type 2 diabetes mellitus. We further discover that the presence of WBC clusters could also aggravate the abnormalities of local blood rheology. In particular, the extent of elevation of the local blood viscosity is enlarged as the size of the WBC clusters grows. On the other hand, the impact of platelet clusters on the local rheology is found to be negligible, which is likely due to the smaller size of the platelets. The difference in the impact of WBC and platelet clusters on local hemorheology provides a compelling explanation for the clinical finding that the number of WBC clusters is significantly correlated with thrombotic events in COVID-19 whereas platelet clusters are not. Overall, our study demonstrates that our computational models based on dissipative particle dynamics can serve as a powerful tool to conduct quantitative investigation of the mechanism causing the pathological alterations of hemorheology and explore their connections to the clinical manifestations in COVID-19.

Indexed as

COVID-19Blood ViscosityFibrinogenHemorheologyHumansFibrinogen

Identifiers

PMID36028998
PMCPMC9420024
OpenAlexW4293563245

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.