Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Plasma proteomic risk markers of incident type 2 diabetes reflect physiologically distinct components of glucose-insulin homeostasis

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
English
2023

Plasma proteomic risk markers of incident type 2 diabetes reflect physiologically distinct components of glucose-insulin homeostasis

0 Datasets

0 Files

English
2023
DOI: 10.2337/figshare.22009409

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Claude Bouchard
Claude Bouchard

Pennington Biomedical Research Center

Verified
Héléne T. Cronjé
Michael Mi
Thomas R. Austin
+17 more

Abstract

High-throughput proteomics allow researchers to simultaneously explore the roles of thousands of biomarkers in the pathophysiology of diabetes. We conducted proteomic association studies of incident type 2 diabetes and physiologic responses to an intravenous glucose tolerance test (IVGTT) to identify novel protein contributors to glucose homeostasis and diabetes risk. We tested 4,776 SomaScan® proteins measured in relation to 18-year incident diabetes risk in participants from the Cardiovascular Health Study (CHS, N=2,631), and IVGTT-derived measures in participants from the HERITAGE Family Study (N=752). We characterize 51 proteins that were associated with longitudinal diabetes risk, using their respective 39, 9, and 8 concurrent associations with insulin sensitivity (SI), acute insulin response to glucose (AIRG), and glucose effectiveness (SG). Twelve of the 51 diabetes associations were novel, including beta-glucuronidase, which associated with increased diabetes risk and lower SG, suggesting an alternative pathway to insulin for glucose disposal; and plexin-B2 which also associated with increased diabetes risk, but with lower AIRG, and not with SI, indicating a mechanism related instead to pancreatic dysfunction. Other novel protein associations included alcohol dehydrogenase-1C, fructose-bisphosphate aldolase-B, and sorbitol dehydrogenase with elevated type 2 diabetes risk, and leucine rich repeat containing protein-15 and myocilin with decreased risk.

How to cite this publication

Héléne T. Cronjé, Michael Mi, Thomas R. Austin, Mary L. Biggs, David S. Siscovick, Rozenn N. Lemaître, Bruce M. Psaty, Russell P. Tracy, Luc Djoussé, Jorge R. Kizer, Joachim H. Ix, Prashant Rao, Jeremy Robbins, Jacob L. Barber, Mark A. Sarzynski, Clary B. Clish, Claude Bouchard, Kenneth J. Mukamal, Robert E. Gerszten, Majken K. Jensen (2023). Plasma proteomic risk markers of incident type 2 diabetes reflect physiologically distinct components of glucose-insulin homeostasis. , DOI: 10.2337/figshare.22009409.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2023

Authors

20

Datasets

0

Total Files

0

Language

English

DOI

10.2337/figshare.22009409

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access