Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Data-driven glycolipid network phenotypes reveal a graded risk spectrum for cardiometabolic multimorbidity: a prospective study in middle-aged and older Chinese adults.

Lipids in health and disease - 11 Feb 2026

Lu Zhao-Xuan, Dong Bing-Qing, Chen Liang, Wei Heng-Le, Zhang Hong

Abstract excerpt

BACKGROUND: Glycolipid dysregulation is a core driver of cardiometabolic multimorbidity (CMM), yet its role as an integrated network in CMM pathogenesis remains unexplored. OBJECTIVE: To explore the association between individual differential glycolipid covariance networks (IDGCNs)—pairwise glycolipid correlation matrix from six glycolipid biomarkers—and incident CMM. METHODS: We utilized 9-year longitudinal data...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Glucose
Share to Cardiometabolic Risk Factors

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Cholesterol, HDL

Share to Cholesterol, LDL

Share to East Asian People

Share to Glycated Hemoglobin

Share to Glycolipids

Share to Triglycerides

Source

Open in PubMed Open full text

Identifiers

PMID: 41673664
DOI: 10.1186/s12944-026-02894-6
PMCID: PMC12998046

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Data-driven glycolipid network phenotypes reveal a graded risk spectrum for cardiometabolic multimorbidity: a prospective study in middle-aged and older Chinese adults.PMID 41673664Read ↗

Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death.Semantic proximity Read ↗

Disease networks identify specific conditions and pleiotropy influencing multimorbidity in the general populationSemantic proximity Read ↗

Effects of adiposity, insulin resistance, and inflammation on cardiometabolic multimorbidity: insights from interaction analyses and metabolic phenotyping in the China health and retirement longitudinal study 2011-2018.Semantic proximity Read ↗

Nonlinear dynamics of multi-omics profiles during human agingSemantic proximity Read ↗

Next-Generation (Glycomic) Biomarkers for Cardiometabolic Health: A Community-Based Study of Immunoglobulin G N -Glycans in a Chinese Han PopulationSemantic proximity Read ↗

Metabolite Signature of Life’s Essential 8 and Risk of Coronary Heart Disease among Low-Income Black and White AmericansSemantic proximity Read ↗

Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkersSemantic proximity Read ↗

iLipidome: enhancing statistical power and interpretability using hidden biosynthetic interdependencies in the lipidomeSemantic proximity Read ↗

MorbidGCN: prediction of multimorbidity with a graph convolutional network based on integration of population phenotypes and disease network.Semantic proximity Read ↗

Global variation in cardiometabolic risk structures: A 48-country comparative Bayesian network analysis in 146,000 participants using WHO STEPS dataSemantic proximity Read ↗

An interaction map of circulating metabolites, immune gene networks, and their genetic regulation.Semantic proximity Read ↗

Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.