Evidence map›Paper›PMID 28288152›Full record

ArticlePLoS computational biology2017

Patient-specific modeling of individual sickle cell behavior under transient hypoxia.

Xuejin Li, E Du, Ming Dao, Subra Suresh, George Em Karniadakis

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Mathematical modeling of SCD: a literature review.Journal of sickle cell disease · 2025
    Review
  4. 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
  5. Article
  6. Measuring cell deformation by microfluidics.Frontiers in bioengineering and biotechnology · 2023
    Review
  7. Microfluidic methods to advance mechanistic understanding and translational research in sickle cell disease.Translational research : the journal of laboratory and clinical medicine · 2022
    Review
  8. Article
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  11. Review
  12. 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

5 authors at 4 institutions in 1 country.

Xuejin LiDivision of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.
E DuDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Ming DaoDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Subra SureshDepartment of Biomedical Engineering, Computational Biology Department, and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.
Brown University · USCarnegie Mellon University · USFlorida Atlantic University · USMassachusetts Institute of Technology · US

Funding

Multiscale Modeling of Sickle Cell Anemia: Methods and ValidationU01HL114476 · NHLBI · BROWN UNIVERSITY · PI DAO, MING, HIGGINS, JOHN MATTHEW · 2013 to 2017
$3.9M
NHLBI NIH HHS U01 HL114476
6 · The paper itself

Abstract

Sickle cell disease (SCD) is a highly complex genetic blood disorder in which red blood cells (RBC) exhibit heterogeneous morphology changes and decreased deformability. We employ a kinetic model for cell morphological sickling that invokes parameters derived from patient-specific data. This model is used to investigate the dynamics of individual sickle cells in a capillary-like microenvironment in order to address various mechanisms associated with SCD. We show that all RBCs, both hypoxia-unaffected and hypoxia-affected ones, regularly pass through microgates under oxygenated state. However, the hypoxia-affected cells undergo sickling which significantly alters cell dynamics. In particular, the dense and rigid sickle RBCs are obstructed thereby clogging blood flow while the less dense and deformable ones are capable of circumnavigating dead (trapped) cells ahead of them by choosing a serpentine path. Informed by recent experiments involving microfluidics that provide in vitro quantitative information on cell dynamics under transient hypoxia conditions, we have performed detailed computational simulations of alterations to cell behavior in response to morphological changes and membrane stiffening. Our model reveals that SCD exhibits substantial heterogeneity even within a particular density-fractionated subpopulation. These findings provide unique insights into how individual sickle cells move through capillaries under transient hypoxic conditions, and offer novel possibilities for designing effective therapeutic interventions for SCD.

Indexed as

Models, CardiovascularPatient-Specific ModelingAnemia, Sickle CellCell HypoxiaCell MovementCells, CulturedComputer SimulationErythrocyte MembraneErythrocytes, AbnormalHemoglobins, AbnormalHumansHemoglobins, Abnormal

Identifiers

PMID28288152
PMCPMC5367819
OpenAlexW2596124478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.