Evidence map›Paper›PMID 34103669›Full record

ArticleCommunications biology2021

Multiparametric biophysical profiling of red blood cells in malaria infection.

Shreya S Deshmukh, Bikash Shakya, Anna Chen, Naside Gozde Durmus, Bryan Greenhouse, Elizabeth S Egan, Utkan Demirci

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Dynamic and precise electromagnetic levitation of single cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
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  7. Article
  8. Review
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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

7 authors.

Shreya S DeshmukhDepartment of Bioengineering, Stanford University Schools of Engineering and Medicine, Stanford, CA, USA.ORCID 0000-0002-0085-0297
Bikash ShakyaDepartment of Pediatrics; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-9100-0660
Anna ChenDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Naside Gozde DurmusDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.
Bryan GreenhouseDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0287-9111
Elizabeth S EganDepartment of Pediatrics; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-2112-7700
Utkan DemirciCanary Center for Early Cancer Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA. utkan@stanford.edu.ORCID 0000-0003-2784-1590

Funding

Training in Pediatric Nonmalignant Hematology and Stem Cell BiologyT32DK098132 · NIDDK · STANFORD UNIVERSITY · PI SAKAMOTO, KATHLEEN M · 2014 to 2022
$1.9M
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
NIAID NIH HHS K24 AI144048NIDDK NIH HHS T32 DK098132
6 · The paper itself

Abstract

Biophysical separation promises label-free, less-invasive methods to manipulate the diverse properties of live cells, such as density, magnetic susceptibility, and morphological characteristics. However, some cellular changes are so minute that they are undetectable by current methods. We developed a multiparametric cell-separation approach to profile cells with simultaneously changing density and magnetic susceptibility. We demonstrated this approach with the natural biophysical phenomenon of Plasmodium falciparum infection, which modifies its host erythrocyte by simultaneously decreasing density and increasing magnetic susceptibility. Current approaches have used these properties separately to isolate later-stage infected cells, but not in combination. We present biophysical separation of infected erythrocytes by balancing gravitational and magnetic forces to differentiate infected cell stages, including early stages for the first time, using magnetic levitation. We quantified height distributions of erythrocyte populations-27 ring-stage synchronized samples and 35 uninfected controls-and quantified their unique biophysical signatures. This platform can thus enable multidimensional biophysical measurements on unique cell types.

Indexed as

AlgorithmsCell SeparationErythrocytesHumansImage Processing, Computer-AssistedMalariaMalaria, FalciparumPlasmodium falciparum

Identifiers

PMID34103669
PMCPMC8187722

What OpenQuestion holds

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LicenceCC BY
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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.