Evidence map›Paper›PMID 35099119›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2022

Phenotypic analysis of erythrocytes in sickle cell disease using imaging flow cytometry.

Tahsin Özpolat, Tim C Chang, Xiaoping Wu, Alexander E St John, Barbara A Konkle, Junmei Chen, José A López

Open access · greenAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 1 country.

Tahsin ÖzpolatBloodworks Research Institute, Seattle, WA, USA.ORCID 0000-0001-7527-3933
Tim C ChangLuminex Corporation, Seattle, WA, USA.
Xiaoping WuDepartment of Pathology, University of Washington, Seattle, WA, USA.
Alexander E St JohnDepartment of Emergency Medicine, University of Washington, Seattle, WA, USA.
Barbara A KonkleBloodworks Research Institute, Seattle, WA, USA.
Junmei ChenBloodworks Research Institute, Seattle, WA, USA.
José A LópezBloodworks Research Institute, Seattle, WA, USA.
University of Washington · USBloodworks Northwest · USLuminex (United States) · US

Funding

Molecular and Translational Studies in Hematologic DisordersR35HL145262 · NHLBI · BLOODWORKS · PI LOPEZ, JOSE ARON · 2019 to 2024
$6.5M
von Willebrand Factor in Sickle Cell Disease PathophysiologyR01HL112633 · NHLBI · BLOODWORKS · PI LOPEZ, JOSE ARON · 2012 to 2018
$5.3M
A Pilot Study of N-acetylcysteine in Sickle Cell Disease Vaso-Occlusive CrisisR34HL128798 · NHLBI · BLOODWORKS · PI KONKLE, BARBARA A · 2015 to 2016
$803k
NHLBI NIH HHS R01 HL112633NHLBI NIH HHS R34 HL128798NHLBI NIH HHS R35 HL145262NIH HHS R01 HL112633NIH HHS R35 HL145262
6 · The paper itself

Abstract

The morphology and other phenotypic characteristics of erythrocytes in sickle cell disease (SCD) have been analyzed for decades in patient evaluation. This involves a variety of techniques, including microscopic analysis of stained blood films, flow cytometry, and cell counting. Here, we analyzed SCD blood using imaging flow cytometry (IFC), a technology that combines flow cytometry and microscopy to enable simultaneous rapid-throughput analysis of cellular morphology and cell-surface markers. With IFC, we were able to automate quantification of poikilocytes from SCD blood. An important subpopulation of poikilocytes represented dense cells, although these could not be distinguished from other poikilocytes without first centrifuging the blood through density gradients. In addition, CD71-positive RBCs from SCD patients had two subpopulations: one with high CD71 expression and a puckered morphology and another with lower CD71 expression and biconcave morphology and presumably representing a later stage of differentiation. Some RBCs with puckered morphologies that were strongly positive for DAPI and CD49d were in fact nucleated RBCs. IFC identified more phosphatidylserine-expressing red cells in SCD than did conventional flow cytometry and these could also be divided into two subpopulations. One population had diffuse PS expression and appeared to be composed primarily of RBC ghosts; the other had lower overall PS expression present in intense, punctate dots overlying Howell-Jolly bodies. This study demonstrates that IFC can rapidly reveal and quantify RBC features in SCD that require numerous tedious methods to identify conventionally. Thus, IFC is likely to be a useful technique for evaluating and monitoring SCD.

Indexed as

Anemia, Sickle CellErythrocytesErythrocyte InclusionsFlow CytometryHumansMicroscopy

Identifiers

PMID35099119
PMCPMC9592074
OpenAlexW4210731059

What OpenQuestion holds

Textmetadata
LicenceTDM
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.