Aptamer-based search for correlates of plasma and serum water T2 : implications for early metabolic dysregulation and metabolic syndrome

Biomarker Research
Vipulkumar PatelDavid P Cistola

Abstract

Metabolic syndrome is a cluster of abnormalities that increases the risk for type 2 diabetes and atherosclerosis. Plasma and serum water T2 from benchtop nuclear magnetic resonance relaxometry are early, global and practical biomarkers for metabolic syndrome and its underlying abnormalities. In a prior study, water T2 was analyzed against ~ 130 strategically selected proteins and metabolites to identify associations with insulin resistance, inflammation and dyslipidemia. In the current study, the analysis was broadened ten-fold using a modified aptamer (SOMAmer) library, enabling an unbiased search for new proteins correlated with water T2 and thus, metabolic health. Water T2 measurements were recorded using fasting plasma and serum from non-diabetic human subjects. In parallel, plasma samples were analyzed using a SOMAscan assay that employed modified DNA aptamers to determine the relative concentrations of 1310 proteins. A multi-step statistical analysis was performed to identify the biomarkers most predictive of water T2. The steps included Spearman rank correlation, followed by principal components analysis with variable clustering, random forests for biomarker selection, and regression trees for biomarker ranking. The mult...Continue Reading

References

Dec 1, 1991·Calcified Tissue International·P BiancoP G Robey
Jun 9, 1995·The Journal of Biological Chemistry·L Gold
Sep 15, 1993·Proceedings of the National Academy of Sciences of the United States of America·G K Hunter, H A Goldberg
Aug 23, 1996·The Journal of Biological Chemistry·P LassalleA B Tonnel
Oct 9, 1999·Hypertension Research : Official Journal of the Japanese Society of Hypertension·R MorishitaT Ogihara
Mar 14, 2000·The Journal of Biological Chemistry·J GrimsbyJ F Grippo
Apr 6, 2001·Diabetes Care·K A McAuleyA W Duncan
May 3, 2003·Cancer Cell·Selma PennacchiettiPaolo M Comoglio
Jul 14, 2005·Annual Review of Nutrition·Gerald M Reaven
Jun 9, 2006·Diabetic Medicine : a Journal of the British Diabetic Association·K SataniM Namba
Jul 22, 2006·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Gagani AthaudaDonald P Bottaro
Jul 25, 2006·Nature Reviews. Cancer·Carla Boccaccio, Paolo M Comoglio
Feb 28, 2008·Journal of Periodontal Research·Y Ogata
Oct 17, 2008·Expert Opinion on Investigational Drugs·Katharine A WhartenbyPeter A Calabresi
Apr 18, 2012·PloS One·Michael R MehanSheri K Wilcox
Oct 25, 2012·Diabetes Care·Katherine EspositoDario Giugliano
Aug 21, 2013·Cell Metabolism·Kai SunPhilipp E Scherer
Oct 4, 2013·Diabetes·Juan Carlos Alvarez-PerezAdolfo Garcia-Ocaña
May 16, 2014·Advances in Nutrition·Amelia K LinnemannDawn Belt Davis
Aug 13, 2014·Clinical Proteomics·Michael R MehanRachel M Ostroff
Oct 16, 2014·World Journal of Diabetes·Hiroyuki KonyaMitsuyoshi Namba
Feb 19, 2015·Current Opinion in Lipidology·Anne RaimondoAnna L Gloyn
May 20, 2015·JAMA : the Journal of the American Medical Association·Maria AguilarRobert J Wong
Jun 4, 2015·Proceedings of the National Academy of Sciences of the United States of America·Yetrib HathoutLarry Gold
Sep 1, 2015·Journal of the American College of Cardiology·Laurence S SperlingScott M Grundy
Dec 15, 2015·Trends in Cardiovascular Medicine·Scott M Grundy
Dec 23, 2016·Trends in Analytical Chemistry : TRAC·David P Cistola, Michelle D Robinson
Jan 9, 2017·Cancer Science·Kunio MatsumotoDonald P Bottaro

❮ Previous
Next ❯

Citations

Jul 8, 2020·International Journal of Molecular Sciences·Jan P ElskensAnnemieke Madder
Aug 4, 2019·Journal of Personalized Medicine·Weng Kung Peng, Daniele Paesani
Jan 16, 2021·Analytical Chemistry·Piotr PutDanila A Barskiy
Apr 3, 2021·Frontiers in Cell and Developmental Biology·Jie HuangChao Liang

❮ Previous
Next ❯

Methods Mentioned

BETA
nuclear
NMR
blood draw

Software Mentioned

SomaScan
randomForest
R
XpFit
JMP Pro
CART
SOMAmer

Related Concepts

Related Feeds

CV Disorders & Type 2 Diabetes

This feed focuses on the association of cardiovascular diseases in patients with type 2 diabetes.

Biomarkers for Diabetes

This feed focuses on the latest research on biomarkers used for monitoring disease progression in diabetes.

Biomarkers for Type 2 Diabetes

Biomarkers can help understand chronic diseases and assist in risk prediction for prevention and early detection of diseases. Here is the latest research on biomarkers in type 2 diabetes, a disease in which the body is unable to produce or properly use insulin.