Evidence map›Paper›PMID 31319703›Full record

ArticleEuropean journal of mass spectrometry (Chichester, England)2020

MALDI-TOF mass spectrometry-based quantification of C-peptide in diabetes patients.

MeiHua Wan, Yichao Wang, Lingpeng Zhan, Jia Fan, Tony Y Hu

Abstract readValidation Study
In one paragraph

Article in European journal of mass spectrometry (Chichester, England), 2020. 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
–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

3 citing papers in PubMed.

  1. Review
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  3. Article
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

5 authors.

MeiHua WanDepartment of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, Chengdu, China.
Yichao WangDepartment of Nanomedicine, Houston Methodist Research Institute, Houston, TX, USA.
Lingpeng ZhanVirginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Jia FanVirginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Tony Y HuVirginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.ORCID https://orcid.org/0000-0001-7255-5409

Funding

Noncoding RNA Biomarkers for Noninvasive and Early Detection of Pancreatic CancerU01CA214254 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Ajay Goel, DANIEL D VON HOFF · 2017 to 2026
$8.9M
Direct quantitation of the circulating Mtb-peptidome for pediatric TB managementR01HD090927 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI Christopher J Lyon, Charles DeBeaux Mitchell · 2017 to 2026
$4.5M
Quantification of Circulating Antigens for Pediatric TB Diagnosis andTreatment MonitoringR01AI122932 · NIAID · METHODIST HOSPITAL RESEARCH INSTITUTE · PI HU, TONY Y. · 2016 to 2019
$1.8M
Real-time Detection of Active TB in HIV Exposed Children on CustomizedNanotrapR01AI113725 · NIAID · METHODIST HOSPITAL RESEARCH INSTITUTE · PI LABAER, JOSHUA · 2015 to 2018
$1.6M
Multiplexed quantification of circulating peptidomic signatures for EBOLA early diagnosisR21AI126361 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LABAER, JOSHUA · 2017 to 2018
$373k
Mobile based Nanoplasmonic Quantification of Mtb-derived Exosomes in Serum for Pediatric TB diagnosisR21EB026347 · NIBIB · TULANE UNIVERSITY OF LOUISIANA · PI LYON, CHRISTOPHER J · 2019 to 2020
$367k
NCI NIH HHS U01 CA214254NIAID NIH HHS R01 AI113725NIAID NIH HHS R01 AI122932NIAID NIH HHS R21 AI126361NIBIB NIH HHS R21 EB026347NICHD NIH HHS R01 HD090927
6 · The paper itself

Abstract

backgroundSerum C-peptide concentrations reflect insulin secretion and beta cell function and can be used to diagnose and distinguish type-1 and type-2 diabetes. C-peptide is a more accurate indicator of insulin status than direct insulin measurement for monitoring patients with diabetes. However, the current methods available for C-peptide quantification exhibit poor reproducibility, are costly, and require highly trained laboratory personnel. Here, we have developed and evaluated a matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based assay to standardize C-peptide measurements, providing highly accurate and comparable results across testing systems and laboratories.

methodsC-peptide from human serum was enriched using antibody-conjugated magnetic beads. The eluted isolates were further modified with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC) to enhance the ionization of naturally acidic C-peptide. After desalting with ZipTips, the samples were subjected to MALDI-TOF MS analysis. Recombinant human C-peptide was used to develop the assay, and a heavy isotope labeled human C-peptide was used as an internal standard for quantification.

resultsThe MALDI-TOF MS method was validated in accordance with the restrictions of the device, with a limit of quantitation of 25 pmol/L. A correlation between the MAL-DI-TOF MS assay and a reference method was conducted using patient samples. The resulting regression revealed good agreement.

conclusionsA simple, high-throughput, cost effective and quantitative MALDI-TOF MS C-peptide assay has been successfully developed and validated in clinical serum samples.

Indexed as

AminoquinolinesAntibodies, ImmobilizedCarbamatesC-PeptideDiabetes MellitusHumansLimit of DetectionReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization6-aminoquinolyl-N-hydroxysuccinimidyl carbamateAminoquinolinesAntibodies, ImmobilizedCarbamatesC-Peptide6-Aminoquinolyl-N-hydroxysuccinimidyl carbamateC-peptidediabetesimmunoaffinity enrichmentionizationMALDI-TOF MS

Identifiers

PMID31319703
PMCPMC8104466

What OpenQuestion holds

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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.