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Updated: Oct 21, 2025

Glycan Node Analysis: A Bottom-up Approach to Glycomics
Published on: May 22, 2016
Glycosylation and Cardiovascular Diseases
Hesam Dashti1,2, Maria Angelica Pabon Porras1, Samia Mora3
1Center for Lipid Metabolomics, Divisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Glycans, or sugar chains, show promise as biomarkers for predicting cardiovascular disease (CVD) risk and monitoring treatment effectiveness. These molecules reflect systemic inflammation and offer insights into CVD progression and management.
Area of Science:
- Biochemistry
- Immunology
- Cardiovascular Medicine
Background:
- Cardiovascular disease (CVD) remains the leading global cause of mortality, with coronary artery disease and stroke as primary drivers.
- Recent advancements enable the investigation of glycans and protein glycosylation patterns in relation to CVD.
- Existing research indicates significant associations between glycans and systemic inflammation, key CVD risk factors, and clinical outcomes.
Purpose of the Study:
- To explore the potential of glycans as biomarkers for cardiovascular disease (CVD) risk prediction.
- To evaluate the utility of glycans in monitoring therapeutic responses and lifestyle modifications in CVD patients.
- To understand how glycans encapsulate complex biological information relevant to CVD.
Main Methods:
- Analysis of glycan structures and glycosylation patterns.
- Correlation studies linking glycan profiles with CVD risk factors and events.
- Investigation of glycan responsiveness to anti-inflammatory therapies and lifestyle interventions.
Main Results:
- Glycans are significantly associated with systemic inflammation and major CVD risk factors.
- Glycan patterns show correlations with clinical CVD events.
- Preliminary evidence suggests glycans can monitor responses to anti-inflammatory treatments and lifestyle changes.
Conclusions:
- Glycans serve as valuable biomarkers, integrating information from inflammatory, immune, and signaling pathways.
- Glycans hold significant promise for improving CVD risk prediction.
- Glycans offer a potential tool for monitoring therapeutic interventions and lifestyle impacts in CVD management.
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