Evidence map›Paper›PMID 35734440›Full record

ArticleJournal of mass spectrometry and advances in the clinical lab2022

Multiplexed quantification of insulin and C-peptide by LC-MS/MS without the use of antibodies.

North Foulon, Elisha Goonatilleke, Michael J MacCoss, Michelle A Emrick, Andrew N Hoofnagle

Open access · goldAbstract read
In one paragraph

Article in Journal of mass spectrometry and advances in the clinical lab, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Insulin Detection Enabled by Sensors Employing Fluorescence Signal Amplification Strategy.Luminescence : the journal of biological and chemical luminescence · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. MRM-based LC-MS method for accurate C-peptide quantitation.Journal of mass spectrometry and advances in the clinical lab · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 at 1 institution in 1 country.

North FoulonDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Elisha GoonatillekeDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Michelle A EmrickDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
Andrew N HoofnagleDepartment of Laboratory Medicine & Pathology, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

Quantifying proteins in plasma to democratize personalized medicine for patients with type 1 diabetesU01DK121289 · NIDDK · UNIVERSITY OF WASHINGTON · PI HOOFNAGLE, ANDREW N · 2019 to 2021
$1.9M
NIDDK NIH HHS U01 DK121289
6 · The paper itself

Abstract

Introduction: The measurement of insulin and C-peptide provides a valuable tool for the clinical evaluation of hypoglycemia. In research, these biomarkers are used together to better understand hyperinsulinemia, hepatic insulin clearance, and beta cell function. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is an attractive approach for the analysis of insulin and C-peptide because the platform is specific, can avoid certain limitations of immunoassays, and can be multiplexed. Previously described LC-MS/MS methods for the simultaneous quantification of insulin and C-peptide measure the intact analytes and most have relied on immunoaffinity enrichment. These approaches can be limited in terms of sensitivity and interference from auto-antibodies, respectively. We have developed a novel method that does not require antibodies and uses proteolytic digestion to yield readily ionizable proteotypic peptides that enables the sensitive, specific, and simultaneous quantitation of insulin and C-peptide. Methods: Serum samples were precipitated with acetonitrile. Analytes were enriched using solid phase extraction and then digested with endoproteinase Glu-C. Surrogate peptides for insulin and C-peptide were analyzed using targeted LC-MS/MS. Results: Inter-day imprecision was below 20 %CV and linearity was observed down to the lower limit of quantitation for both analytes (insulin = 0.09 ng/mL, C-peptide = 0.06 ng/mL). Comparison to a commercially available insulin immunoassay (Beckman Coulter UniCel DxI 600 Access) revealed a 30% bias between methods. Conclusion: A novel LC-MS/MS method for the simultaneous analysis of insulin and C-peptide using Glu-C digestion was developed and evaluated. A detailed standard operating procedure is provided to help facilitate implementation in other laboratories.

Indexed as

C-peptideInsulinLC-MS/MSLC-MS/MS, liquid chromatography-tandem mass spectrometryLiquid chromatography-tandem mass spectrometryLLOQ, lower limit of quantitationPlasmaSerumTaMADOR, Targeted Mass Spectrometry Assays for Diabetes and Obesity Research

Identifiers

PMID35734440
PMCPMC9207678
OpenAlexW4281762384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.