Evidence map›Paper›PMID 24533899›Full record

ArticleJournal of proteome research2014

Top-down proteomics of a drop of blood for diabetes monitoring.

Pan Mao, Daojing Wang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. High sensitivity top-down proteomics captures single muscle cell heterogeneity in large proteoforms.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Mass Spectrometry in Advancement of Redox Precision Medicine.Advances in experimental medicine and biology · 2019
    Review
  8. Article
  9. Top-Down Proteomics: Ready for Prime Time?Analytical chemistry · 2018
    Review
  10. Review
  11. Maillard Proteomics: Opening New Pages.International journal of molecular sciences · 2017
    Review
  12. Article
  13. Article
  14. Progress in Top-Down Proteomics and the Analysis of Proteoforms.Annual review of analytical chemistry (Palo Alto, Calif.) · 2016
    Review
  15. Biomonitoring of perfluorinated compounds in a drop of blood.Environmental science & technology · 2015
    Article
  16. 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

2 authors at 1 institution in 1 country.

Pan MaoNewomics Inc. , 5980 Horton Street, Suite 525, Emeryville, California 94608, United States.
Daojing Wang
Newomics (United States) · US

Funding

Microfluidic Chips for BiomonitoringR43ES022360 · NIEHS · NEWOMICS, INC · PI MAO, PAN · 2012 to 2012
$250k
Omics-Based Assays for Screening Chemical Toxicity Using Stem CellsR43ES023529 · NIEHS · NEWOMICS, INC · PI WANG, DAOJING · 2013 to 2013
$225k
NCI NIH HHS HHSN261201300033CNIEHS NIH HHS R43 ES022360NIEHS NIH HHS R43ES022360NIEHS NIH HHS R43 ES023529NIEHS NIH HHS R43ES023529
6 · The paper itself

Abstract

The most common markers for monitoring patients with diabetes are glucose and HbA1c, but additional markers such as glycated human serum albumin (HSA) have been identified that could address the glycation gap and bridge the time scales of glycemia between transient and 2-3 months. However, there is currently no technical platform that could measure these markers concurrently in a cost-effective manner. We have developed a new assay that is able to measure glucose, HbA1c, glycated HSA, and glycated apolipoprotein A-I (apoA-I) for monitoring of individual blood glycemia, as well as cysteinylated HSA, S-nitrosylated HbA, and methionine-oxidized apoA-I for gauging oxidative stress and cardiovascular risks, all in 5 μL of blood. The assay utilizes our proprietary multinozzle emitter array chip technology to enable the analysis of small volumes of blood, without complex sample preparation prior to the online and on-chip liquid chromatography-nanoelectrospray ionization mass spectrometry. Importantly, the assay employs top-down proteomics for more accurate quantitation of protein levels and for identification of post-translational modifications. Further, the assay provides multimarker, multitime-scale, and multicompartment monitoring of blood glycemia. Our assay readily segregates healthy controls from Type 2 diabetes patients and may have the potential to enable better long-term monitoring and disease management of diabetes.

Indexed as

Protein Processing, Post-TranslationalApolipoprotein A-IBiomarkersBlood GlucoseCase-Control StudiesDiabetes Mellitus, Type 2Glycated HemoglobinGlycosylationHemoglobinsHumansMethionineMicrofluidic Analytical TechniquesOxidation-ReductionProteomicsSerum AlbuminSpectrometry, Mass, Electrospray IonizationApolipoprotein A-IBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHemoglobinsMethioninenitrosyl hemoglobinSerum Albumin

Identifiers

PMID24533899
PMCPMC3993886
OpenAlexW1978296458

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.