Evidence map›Paper›PMID 31457104›Full record

ArticleScience advances2019

Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies.

Lu Lu, Zhen Li, He Li, Xuejin Li, Peter G Vekilov, George Em Karniadakis

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-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

16 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Mathematical modeling of SCD: a literature review.Journal of sickle cell disease · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Microfluidic methods to advance mechanistic understanding and translational research in sickle cell disease.Translational research : the journal of laboratory and clinical medicine · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Mesoscopic protein-rich clusters host the nucleation of mutant p53 amyloid fibrils.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Allosteric control of hemoglobin S fiber formation by oxygen and its relation to the pathophysiology of sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Review
  15. Review
  16. Review
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 2 institutions in 1 country.

Lu LuDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-5476-5768
Zhen LiDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-0936-6928
He LiDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.
Xuejin LiDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-4446-2480
Peter G VekilovDepartments of Chemical and Biomolecular Engineering and Chemistry, University of Houston, Houston, TX 77004, USA.ORCID 0000-0002-3424-8720
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-9713-7120
Brown University · USUniversity of Houston · 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 is induced by a mutation that converts normal adult hemoglobin to sickle hemoglobin (HbS) and engenders intracellular polymerization of deoxy-HbS and erythrocyte sickling. Development of anti-sickling therapies requires quantitative understanding of HbS polymerization kinetics under organ-specific conditions, which are difficult to assess with existing experimental techniques. Thus, we developed a kinetic model based on the classical nucleation theory to examine the effectiveness of potential anti-sickling drug candidates. We validated this model by comparing its predictability against prior in vivo and in vitro experimental results. We used the model to quantify the efficacy of sickling inhibitors and obtain results consistent with recent screening assays. Global sensitivity analysis on the kinetic parameters in the model revealed that the solubility, nucleation rate prefactor, and oxygen affinity are quantities that dictate HbS polymerization. This finding provides quantitative guidelines for the discovery of intracellular processes to be targeted by sickling inhibitors.

Indexed as

Models, BiologicalAnemia, Sickle CellAntisickling AgentsBiomechanical PhenomenaDrug DevelopmentErythrocytes, AbnormalHemoglobin, SickleHumansHypoxiaKineticsMicrofluidic Analytical TechniquesMolecular Diagnostic TechniquesOxygenPrognosisAntisickling Agentsdeoxyhemoglobin, sickleHemoglobin, SickleOxygen

Identifiers

PMID31457104
PMCPMC6703859
OpenAlexW2969983531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.