Next-Generation (Glycomic) Biomarkers for Cardiometabolic Health: A Community-Based Study of Immunoglobulin G

Adult Aged Biomarkers / metabolism Cross-Sectional Studies Female Glycomics / methods Glycosylation Humans Immunoglobulin G / metabolism Male Middle Aged Polysaccharides / metabolism ROC Curve Young Adult
Chinese Han population N-glycans biomarkers cardiometabolic disease glycomics public health

Journal

Omics : a journal of integrative biology
ISSN: 1557-8100
Titre abrégé: OMICS
Pays: United States
ID NLM: 101131135

Informations de publication

Date de publication:
12 2019
Historique:
pubmed: 18 7 2019
medline: 9 6 2020
entrez: 18 7 2019
Statut: ppublish

Résumé

Cardiovascular disease is a common complex trait that calls for next-generation biomarkers for precision diagnostics and therapeutics. The most common type of post-translational protein modification involves glycosylation. Glycans participate in key intercellular and intracellular functions, such as protein quality control, cell adhesion, cell-cell recognition, signal transduction, cell proliferation, and cell differentiation. In this context, immunoglobulin G (IgG)

Identifiants

DOI: 10.1089/omi.2019.0099 PMID: 31313980
pubmed: 31313980
doi: 10.1089/omi.2019.0099
doi:

Substances chimiques

Biomarkers 0
Immunoglobulin G 0
Polysaccharides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

649-659

Auteurs

Hao Wang (H)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Xingang Li (X)

School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Xueqing Wang (X)

School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Di Liu (D)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.

Xiaoyu Zhang (X)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.

Weijie Cao (W)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.

Yulu Zheng (Y)

School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Zheng Guo (Z)

School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Dong Li (D)

School of Public Health, Shandong First Medical University, Taian, China.

Weijia Xing (W)

School of Public Health, Shandong First Medical University, Taian, China.

Haifeng Hou (H)

School of Public Health, Shandong First Medical University, Taian, China.

Lijuan Wu (L)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.

Manshu Song (M)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

Zhaohua Zhong (Z)

Department of Microbiology, Harbin Medical University, Harbin, China.
Heilongjiang Key Laboratory of Immunity and Infection, Harbin, China.

Youxin Wang (Y)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.

Xuerui Tan (X)

The First Affiliated Hospital of Shantou University Medical College, Shantou University Medical College, Shantou, China.

Gordan Lauc (G)

Genos Glycoscience Research Laboratory, BIOCentar, Zagreb, Croatia.
Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.

Wei Wang (W)

Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.
School of Public Health, Shandong First Medical University, Taian, China.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Facteurs biologiques › Marqueurs biologiques › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Disciplines des sciences naturelles › Chimie › Biochimie › Glycomique › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Métabolisme › Métabolisme glucidique › Glycosylation › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Globulines › Sérum-globulines › Immunoglobulines › Anticorps › Isotypes des immunoglobulines › Immunoglobuline G › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Glucides › Polyosides › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Courbe ROC › Next-Generation (Glycomic) Biomarkers for...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Jeune adulte › Next-Generation (Glycomic) Biomarkers for...