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Record W2741601707

How malaria merozoites reduce the deformability of infected RBC

2011· article· en· W2741601707 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAPS · 2011
Typearticle
Languageen
FieldMedicine
TopicBlood properties and coagulation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsErythrocyte deformabilityBiophysicsPipetteSpectrinMembraneParasite hostingElasticity (physics)Red blood cellMaterials scienceStiffnessChemistryBiologyCellComposite materialCytoskeletonImmunologyBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

The pathogenesis of malaria is largely due to stiffening of the infected red blood cells (RBCs). The current understanding ascribes the loss of RBC deformability to a 10-fold increase in membrane stiffness caused by extra cross-linking in the spectrin network. Local measurements by micropipette aspiration, however, have reported only an increase of about 3-fold in the shear modulus. We believe the discrepancy stems from the rigid parasite particles inside infected cells, and have carried out numerical simulations to demonstrate this mechanism. The cell membrane is represented by a set of discrete particles connected by linearly elastic springs. The cytosol is modeled as a homogeneous Newtonian fluid, and discretized by particles as in standard smoothed particle hydrodynamics. The malaria parasite is modeled as an aggregate of particles constrained to rigid-body motion. We simulate RBC stretching tests by optical tweezers in three dimensions. The results demonstrate that the presence of a sizeable parasite greatly reduces the ability of RBCs to deform under stretching. With the solid inclusion, the observed loss of deformability can be predicted quantitatively using the local membrane elasticity measured by micropipettes. Malaria is caused by mosquito-borne parasites of the genus Plasmodium, of which Plas- modium falciparum is a commonly studied species. The infective cycle consists of the ring, trophozoite and schizont stages, with progressive changes in the shape, size and structure of the infected red blood cell (iRBC) as well as those of the parasite itself. Mechanically, the iRBC gradually loses its deformability and becomes more easily adhered to the vascular walls and to other cells. When stretched by optical tweezers, the overall deformation of the iRBC decreases by several folds (1). The prevailing thinking in the literature is that the higher rigidity of the iRBC is due to remodeling of the RBC cytoskeleton by parasite-derived proteins. Recent numerical simulations of cell stretching have expressed this rigidification in terms of an elevated shear modulus Gs for the cell membrane. In the late stages of infection, Gs is estimated to be as high as 60 �N/m (1-3), up from roughly 6 �N/m for

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.133

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.232
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it