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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Plasma protein profiles in different heart failure phenotypes
Lars Lind1, Mario Delgado-Velandia1
1Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Dag Hammarskjölds väg 14B, Uppsala 75185, Sweden.
Insights
Researchers identified a shared plasma protein profile associated with heart failure (HF), regardless of prior myocardial infarction (MI) or atrial fibrillation (AF). This profile reveals key pathophysiological pathways linked to HF development.
Area of Science:
- Cardiovascular Disease Research
- Proteomics and Biomarker Discovery
- Genomics and Bioinformatics
Background:
- Heart failure (HF) often follows other cardiac conditions like myocardial infarction (MI) and atrial fibrillation (AF).
- Understanding the underlying plasma protein profiles in HF development is crucial for early detection and targeted therapies.
- Investigating distinct HF subtypes based on preceding conditions may reveal unique or shared molecular mechanisms.
Purpose of the Study:
- To compare plasma protein profiles across three incident heart failure (HF) groups: HF with prior MI, HF with prior AF, and HF without prior MI or AF.
- To identify a common set of plasma proteins associated with HF across all three groups.
- To explore the relationship between identified protein profiles and cardiac function markers like left ventricular ejection fraction (LV-EF) and E/A ratio.
Main Methods:
- Analysis of plasma protein data from 50,765 UK Biobank participants.
- Categorization of incident HF cases into MI-HF, AF-HF, and noMInoAF-HF groups based on preceding conditions.
- Utilized multivariable-adjusted Cox models to estimate hazard ratios for protein-HF associations and evaluated protein relationships with LV-EF and E/A ratio in subgroups.
Main Results:
- Identified 110, 21, and 1 protein uniquely associated with HF in noMInoAF-HF, AF-HF, and MI-HF groups, respectively.
- Discovered a shared profile of 60 proteins significantly associated with HF across all three groups.
- Found 13 shared proteins related to LV-EF and 7 to E/A ratio, with LRRN1 inversely associated and ADM highly associated with HF in specific groups.
Conclusions:
- A distinct plasma protein profile associated with heart failure was identified, independent of prior MI or AF.
- This profile implicates several pathophysiological pathways and includes proteins linked to cardiac function parameters (LV-EF, E/A ratio).
- Unique protein associations were also observed for specific HF subtypes, suggesting distinct underlying mechanisms.
Introduction:
Heart failure (HF) is a disease often preceded by other cardiac disorders, such as myocardial infarction (MI) and atrial fibrillation (AF). We aimed to evaluate whether the plasma protein profiles of three groups of patients with incident HF-HF with preceding MI, HF with preceding AF, and HF with no preceding MI or HF-would be similar, and whether a common protein profile across all three HF groups could be detected.
Methods:
We analysed data from 50 765 UK Biobank (UKB) participants with measurements on 2922 plasma proteins. Participants who developed HF after enrolment (12,6 years, median follow-up) were divided in those who, between enrolment and HF diagnosis, experienced a MI (MI-HF group, n = 269), developed AF (AF-HF, n = 519), or were not diagnosed with MI or AF (noMInoAF-HF, n = 1059). We estimate hazard ratios (HR) with 95% confidence interval (CI) for the associations between protein measurements and incident HF using multivariable adjusted Cox models. Proteins associated with the outcome across all three HF groups where further evaluated in relation to magnetic resonance-measured left ventricular ejection fraction (LV-EF) in 5097 UKB participants, and to echocardiography-measured diastolic E/A-ratio in 502 POEM study participants.
Results:
After correction for multiple testing, 110 proteins were uniquely associated with HF in the noMInoAF-HF group, 21 proteins in the AF-HF group, and only one protein (ADGRG2) in the MI-HF group. Across all three HF groups, the same 60 proteins were significantly associated with HF, 13 of which were related to LV-EF and another 7 were associated with the E/A-ratio. LRRN1 was inversely associated with incident HF in the MI-HF group [HR 0.49 (95% CI, 0.36, 0.67)], the AF-HF group [0.51 (0.41, 0.63)], and in the noMInoAF-HF group [0.58 (0.50, 0.68)]; all remaining proteins were positively associated with HF. ADM was the top association in the MI-HF group [HR 5.19 (3.06, 8.78)] and the AF-HF group [7.78 (5.31, 11.41)]. The most significant enriched pathways for the 60 shared proteins were interleukin-10 signalling, transcription of death receptors, and TNF receptor binding.
Conclusion:
A plasma protein profile associated with heart failure independently of prior MI or AF was identified. This protein profile represents several pathophysiological pathways of interest, and some of these proteins were also related to either LV-EF or the E/A ratio. In addition, a number of proteins were found to be uniquely associated with only one of the three HF traits.
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