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Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches
INTRODUCTION: Prediction of type 2 diabetes mellitus (T2DM) and its preceding factors, such as insulin resistance (IR), is of great importance as it may allow delay or prevention of onset of the disease. Plasma protein N-glycome has emerged as a promising predictive biomarker. In a prospective longi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438737/ https://www.ncbi.nlm.nih.gov/pubmed/34518155 http://dx.doi.org/10.1136/bmjdrc-2021-002263 |
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author | Cvetko, Ana Mangino, Massimo Tijardović, Marko Kifer, Domagoj Falchi, Mario Keser, Toma Perola, Markus Spector, Tim D Lauc, Gordan Menni, Cristina Gornik, Olga |
author_facet | Cvetko, Ana Mangino, Massimo Tijardović, Marko Kifer, Domagoj Falchi, Mario Keser, Toma Perola, Markus Spector, Tim D Lauc, Gordan Menni, Cristina Gornik, Olga |
author_sort | Cvetko, Ana |
collection | PubMed |
description | INTRODUCTION: Prediction of type 2 diabetes mellitus (T2DM) and its preceding factors, such as insulin resistance (IR), is of great importance as it may allow delay or prevention of onset of the disease. Plasma protein N-glycome has emerged as a promising predictive biomarker. In a prospective longitudinal study, we included patients with a first diagnosis of impaired glucose metabolism (IR or T2DM) to investigate the N-glycosylation’s predictive value years before diabetes development. RESEARCH DESIGN AND METHODS: Plasma protein N-glycome was profiled by hydrophilic interaction ultra-performance liquid chromatography in 534 TwinsUK participants free from disease at baseline. This included 89 participants with incident diagnosis of IR or T2DM during the follow-up period (7.14±3.04 years) whose last sample prior to diagnosis was compared using general linear regression with 445 age-matched unrelated controls. Findings were replicated in an independent cohort. Changes in N-glycome have also been presented in connection with time to diagnosis. RESULTS: Eight groups of plasma N-glycans were different between incident IR or T2DM cases and controls (p<0.05) after adjusting for multiple testing using Benjamini-Hochberg correction. These differences were noticeable up to 10 years prior to diagnosis and are changing continuously as becoming more expressed toward the diagnosis. The prediction model was built using significant glycan traits, displaying a discriminative performance with an area under the receiver operating characteristic curve of 0.77. CONCLUSIONS: In addition to previous studies, we showed the diagnostic potential of plasma N-glycome in the prediction of both IR and T2DM development years before the clinical manifestation and indicated the continuous deterioration of N-glycome toward the diagnosis. |
format | Online Article Text |
id | pubmed-8438737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84387372021-09-24 Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches Cvetko, Ana Mangino, Massimo Tijardović, Marko Kifer, Domagoj Falchi, Mario Keser, Toma Perola, Markus Spector, Tim D Lauc, Gordan Menni, Cristina Gornik, Olga BMJ Open Diabetes Res Care Metabolism INTRODUCTION: Prediction of type 2 diabetes mellitus (T2DM) and its preceding factors, such as insulin resistance (IR), is of great importance as it may allow delay or prevention of onset of the disease. Plasma protein N-glycome has emerged as a promising predictive biomarker. In a prospective longitudinal study, we included patients with a first diagnosis of impaired glucose metabolism (IR or T2DM) to investigate the N-glycosylation’s predictive value years before diabetes development. RESEARCH DESIGN AND METHODS: Plasma protein N-glycome was profiled by hydrophilic interaction ultra-performance liquid chromatography in 534 TwinsUK participants free from disease at baseline. This included 89 participants with incident diagnosis of IR or T2DM during the follow-up period (7.14±3.04 years) whose last sample prior to diagnosis was compared using general linear regression with 445 age-matched unrelated controls. Findings were replicated in an independent cohort. Changes in N-glycome have also been presented in connection with time to diagnosis. RESULTS: Eight groups of plasma N-glycans were different between incident IR or T2DM cases and controls (p<0.05) after adjusting for multiple testing using Benjamini-Hochberg correction. These differences were noticeable up to 10 years prior to diagnosis and are changing continuously as becoming more expressed toward the diagnosis. The prediction model was built using significant glycan traits, displaying a discriminative performance with an area under the receiver operating characteristic curve of 0.77. CONCLUSIONS: In addition to previous studies, we showed the diagnostic potential of plasma N-glycome in the prediction of both IR and T2DM development years before the clinical manifestation and indicated the continuous deterioration of N-glycome toward the diagnosis. BMJ Publishing Group 2021-09-09 /pmc/articles/PMC8438737/ /pubmed/34518155 http://dx.doi.org/10.1136/bmjdrc-2021-002263 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Metabolism Cvetko, Ana Mangino, Massimo Tijardović, Marko Kifer, Domagoj Falchi, Mario Keser, Toma Perola, Markus Spector, Tim D Lauc, Gordan Menni, Cristina Gornik, Olga Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title | Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title_full | Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title_fullStr | Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title_full_unstemmed | Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title_short | Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
title_sort | plasma n-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches |
topic | Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438737/ https://www.ncbi.nlm.nih.gov/pubmed/34518155 http://dx.doi.org/10.1136/bmjdrc-2021-002263 |
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