Evidence map›Paper›PMID 31093524›Full record

ArticleScience advances2019

Label-free quantitation of glycated hemoglobin in single red blood cells by transient absorption microscopy and phasor analysis.

Pu-Ting Dong, Haonan Lin, Kai-Chih Huang, Ji-Xin Cheng

Abstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
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  4. Review
  5. Review
  6. Article
  7. Association Between Visceral Fat Area and Glycated Hemoglobin in Type 2 Diabetics: A Retrospective Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  8. Article
  9. Article
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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

4 authors.

Pu-Ting DongDepartment of Chemistry, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-2818-2021
Haonan LinDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-0437-5902
Kai-Chih HuangDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Ji-Xin ChengDepartment of Chemistry, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-5607-6683

Funding

Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
NIGMS NIH HHS R35 GM136223
6 · The paper itself

Abstract

As a stable and accurate biomarker, glycated hemoglobin (HbA1c) is clinically used to diagnose diabetes with a threshold of 6.5% among total hemoglobin (Hb). Current methods such as boronate affinity chromatography involve complex processing of large-volume blood samples. Moreover, these methods cannot measure HbA1c fraction at single-red blood cell (RBC) level, thus unable to separate the contribution from other factors such as RBC lifetime. Here, we demonstrate a spectroscopic transient absorption imaging approach that is able to differentiate HbA1c from Hb on the basis of their distinct excited-state dynamics. HbA1c fraction inside a single RBC is derived quantitatively through phasor analysis. HbA1c fraction distribution of diabetic blood is apparently different from that of healthy blood. A mathematical model is developed to derive the long-term blood glucose concentration. Our technology provides a unique way to study heme modification and to derive clinically important information void of bloodstream glucose fluctuation.

Indexed as

BiomarkersBlood GlucoseDiabetes MellitusDiabetes Mellitus, Type 2ErythrocytesGlycated HemoglobinHemeHumansKineticsMicroscopyModels, TheoreticalSingle-Cell AnalysisBiomarkersBlood GlucoseGlycated HemoglobinHemehemoglobin A1c protein, human

Identifiers

PMID31093524
PMCPMC6510558

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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.