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pmid:30729226

Glycoproteomic Profiling Provides Candidate Myocardial Infarction Predictors of Later Progression to Heart Failure.

Kristine Y Deleon-Pennell · Osasere K Ero · Yonggang Ma · Rugmani Padmanabhan Iyer · Elizabeth R Flynn · Ingrid Espinoza · Solomon K Musani · Ramachandran S Vasan · Michael E Hall · Ervin R Fox · Merry L Lindsey

ACS omega · 2019 doi:10.1021/acsomega.8b02207

Paper

complete

Experiment

complete

Data

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Analysis

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Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:30729226
kind
science-record
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sha256:7e9b89c37e0d805bd0b6cfcd88d6214c635b7190b6446deedcfb6fed08bc6d47
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https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
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2026-11-01T15:40:42Z
updated_at
2026-11-01T21:21:59Z
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paper object · 10 fields
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title
Glycoproteomic Profiling Provides Candidate Myocardial Infarction Predictors of Later Progression to Heart Failure.
doi
10.1021/acsomega.8b02207
pmid
30729226
authors array · 11 items
[0]
Kristine Y Deleon-Pennell
[1]
Osasere K Ero
[2]
Yonggang Ma
[3]
Rugmani Padmanabhan Iyer
[4]
Elizabeth R Flynn
[5]
Ingrid Espinoza
[6]
Solomon K Musani
[7]
Ramachandran S Vasan
[8]
Michael E Hall
[9]
Ervin R Fox
[10]
Merry L Lindsey
journal
ACS omega
year
2019
abstract
We hypothesized that identifying plasma glycoproteins that predict the development of heart failure following myocardial infarction (MI) could help to stratify subjects at risk. Plasma collected at visit 2 (2005-2008) from an MI subset of Jackson Heart Study participants underwent glycoproteomics and was grouped by the outcome: (1) heart failure hospitalization after visit 2 (n = 15) and (2) without hospitalization by 2012 (n = 45). Proteins were mapped for biological processes and functional pathways using Ingenuity Pathway Analysis and linked to clinical characteristics. A total of 198 glycopeptides corresponding to 88 proteins were identified (data available via ProteomeXchange with identifier PXD009870). Of these, 14 glycopeptides were significantly different between MI and MI + HF groups and corresponded to apolipoprotein (Apo) F, transthyretin, Apo C-IV, prostaglandin-D2 synthase, complement C9, and CD59 (p < 0.05 for all). All proteins were elevated in the MI + HF group, except CD59, which was lower. Four canonical pathways were upregulated in the MI + HF group (p < 0.05 for all): acute phase response, liver X receptor/retinoid X receptor, and macrophage reactive oxygen species generation. The coagulation pathway was significantly downregulated in the MI + HF group (p < 0.05). Even after adjustment for age and sex, Apo F was associated with the increased risk for heart failure (OR = 21.84; 95% CI 3.20-149.14). In conclusion, glycoproteomic profiling provided candidate early MI predictors of later progression to heart failure.
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Logistic regression analyses were used to evaluate associations between plasma glycoprotein markers and HF development after MI in univariate and multivariable models, adjusting for age, sex, and time between MI and plasma collection.
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sections[12] "Statistics and Bioinformatics" paragraph 3
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Logistic regression analyses were used to evaluate associations between plasma glycoprotein markers and HF development after MI in univariate and multivariable models, adjusting for age, sex, and time between MI and plasma collection.
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Proteomics of JHS samples identifies proteins associated with heart failure
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Clinical Characteristics in Groups Divided by Post-MI Congestive HF Statusa,b
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Glycoproteomic Analysis Identified 198 Peptides Belonging to 88 Unique Glycoproteins (Table S2)
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Clinical Characteristics in Groups Divided by Post-MI Congestive HF Statusa,b
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7 (16%)
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15 (33%)
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systolic blood pressure (mmHg)
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Glycoproteomic Analysis Identified 198 Peptides Belonging to 88 Unique Glycoproteins (Table S2)
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Proteins Differentially Expressed in MI + HF Subjects (all p < 0.05)a
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Glycoproteomic Analysis Identified 198 Peptides Belonging to 88 Unique Glycoproteins (Table S2)
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Peptides from Three Proteins were Differentially Expressed at the Individual Peptide but Not Whole Protein Level
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Glycoproteomic Analysis Identified 198 Peptides Belonging to 88 Unique Glycoproteins (Table S2)
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[0]
asset:data:geo:PXD009870 licence not read
[1]
asset:data:geo:PXD009870 not downloaded
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execution.not_run
[3]
review.human_critique
[4]
review.independent_reader
[5]
review.machine_critique
assays array · 1 item
[0] object · 11 fields
role
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regression_modelling
definition_version
f2132e96ae6c7a4e
required_operations array · 1 item
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glm_logit_fit
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source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Logistic regression analyses were used to evaluate associations between plasma glycoprotein markers and HF development after MI in univariate and multivariable models, adjusting for age, sex, and time between MI and plasma collection.
order_basis
analysis_only
id
assay:1
Complete file
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Plasma collected at visit 2 (2005-2008) from an MI subset of Jackson Heart Study participants underwent glycoproteomics and was grouped by the outcome: (1) heart failure hospitalization after visit 2 (n = 15) and (2) without hospitalization by 2012 (n = 45). Proteins were mapped for biological processes and functional pathways using Ingenuity Pathway Analysis and linked to clinical characteristics. A total of 198 glycopeptides corresponding to 88 proteins were identified (data available via ProteomeXchange with identifier PXD009870). Of these, 14 glycopeptides were significantly different between MI and MI + HF groups and corresponded to apolipoprotein (Apo) F, transthyretin, Apo C-IV, prostaglandin-D2 synthase, complement C9, and CD59 (p < 0.05 for all). All proteins were elevated in the MI + HF group, except CD59, which was lower. Four canonical pathways were upregulated in the MI + HF group (p < 0.05 for all): acute phase response, liver X receptor/retinoid X receptor, and macrophage reactive oxygen species generation. The coagulation pathway was significantly downregulated in the MI + HF group (p < 0.05). Even after adjustment for age and sex, Apo F was associated with the increased risk for heart failure (OR = 21.84; 95% CI 3.20-149.14). 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