Evidence map›Paper›PMID 39036093›Full record

ArticleBioengineering & translational medicine2024

Differential sensitivity to hypoxia enables shape-based classification of sickle cell disease and trait blood samples at point of care.

Claudy D'Costa, Oshin Sharma, Riddha Manna, Minakshi Singh, Samrat Singh, Srushti Singh, Anish Mahto, Pratiksha Govil, Sampath Satti, Ninad Mehendale and 2 more

Abstract read
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Article in Bioengineering & translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Claudy D'CostaDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Oshin SharmaDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Riddha MannaDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Minakshi SinghDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Samrat SinghDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Srushti SinghDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Anish MahtoDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Pratiksha GovilDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Sampath SattiDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Ninad MehendaleDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.
Yazdi ItaliaShirin and Jamshed Guzder Regional Blood Centre Valsad India.ORCID https://orcid.org/0000-0002-7140-215X
Debjani PaulDepartment of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai India.ORCID https://orcid.org/0000-0001-9281-3516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red blood cells (RBCs) become sickle-shaped and stiff under hypoxia as a consequence of hemoglobin (Hb) polymerization in sickle cell anemia. Distinguishing between sickle cell disease and trait is crucial during the diagnosis of sickle cell disease. While genetic analysis or high-performance liquid chromatography (HPLC) can accurately differentiate between these two genotypes, these tests are unsuitable for field use. Here, we report a novel microscopy-based diagnostic test called ShapeDx™ to distinguish between disease and trait blood in less than 1 h. This is achieved by mixing an unknown blood sample with low and high concentrations of a chemical oxygen scavenger and thereby subjecting the blood to slow and fast hypoxia, respectively. The different rates of Hb polymerization resulting from slow and fast hypoxia lead to two distinct RBC shape distributions in the same blood sample, which allows us to identify it as healthy, trait, or disease. The controlled hypoxic environment necessary for differential Hb polymerization is generated using an imaging microchamber, which also reduces the sickling time of trait blood from several hours to just 30 min. In a single-blinded proof-of-concept study conducted on a small cohort of clinical samples, the results of the ShapeDx™ test were 100% concordant with HPLC results. Additionally, our field studies have demonstrated that ShapeDx™ is the first reported microscopy test capable of distinguishing between sickle cell disease and trait samples in resource-limited settings with the same accuracy as a gold standard test.

Indexed as

diagnosticshemoglobin polymerizationRBC shapeshape‐based classifiersickle cell anemiasmartphone microscopy

Identifiers

PMID39036093
PMCPMC11256192

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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.