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Updated: Jul 27, 2025
Flow Cytometry-Based Quantification and Analysis of Myocardial B-Cells
Published on: August 17, 2022
Risk prediction model construction for post myocardial infarction heart failure by blood immune B cells
HouRong Sun1,2, XiangJin Kong1,2, KaiMing Wei1,2
1Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Insights
Researchers identified a specific subtype of immune-activated B cells that can predict the risk of heart failure (HF) after myocardial infarction (MI). This discovery offers new tools for clinical diagnosis and treatment of post-MI HF.
Area of Science:
- Cardiology
- Immunology
- Genomics
Background:
- Myocardial infarction (MI) is a leading cause of death, with post-MI heart failure (HF) significantly worsening patient prognosis.
- Predicting post-MI HF remains challenging due to a lack of reliable biomarkers.
- Current treatments for MI do not fully prevent the development of HF.
Purpose of the Study:
- To identify novel predictors of heart failure following myocardial infarction.
- To develop a diagnostic tool for assessing HF risk in MI patients.
Main Methods:
- Analysis of single-cell and bulk RNA sequencing data from peripheral blood of MI patients.
- Identification and validation of immune cell subtype marker genes.
- Development of a predictive model using a panel of 13 marker genes.
Main Results:
- A distinct subtype of immune-activated B cells was identified, differentiating patients who developed HF post-MI from those who did not.
- A 13-gene signature derived from B cell subtypes demonstrated predictive capability for post-MI HF risk.
- Specific genes like STING1, HSPB1, CCL5, ACTN1, and ITGB2 showed altered expression in post-MI HF patients.
Conclusions:
- Immune-activated B cell sub-clusters are significantly associated with the development of heart failure after myocardial infarction.
- The developed 13-gene prediction model offers a promising tool for early diagnosis and risk stratification of post-MI HF.
- Further research into the role of these B cell subtypes could lead to targeted therapeutic strategies.
Background:
Myocardial infarction (MI) is a common cardiac condition with a high incidence of morbidity and mortality. Despite extensive medical treatment for MI, the development and outcomes of post-MI heart failure (HF) continue to be major factors contributing to poor post-MI prognosis. Currently, there are few predictors of post-MI heart failure.
Methods:
In this study, we re-examined single-cell RNA sequencing and bulk RNA sequencing datasets derived from the peripheral blood samples of patients with myocardial infarction, including patients who developed heart failure and those who did not develop heart failure after myocardial infarction. Using marker genes of the relevant cell subtypes, a signature was generated and validated using relevant bulk datasets and human blood samples.
Results:
We identified a subtype of immune-activated B cells that distinguished post-MI HF patients from non-HF patients. Polymerase chain reaction was used to confirm these findings in independent cohorts. By combining the specific marker genes of B cell subtypes, we developed a prediction model of 13 markers that can predict the risk of HF in patients after myocardial infarction, providing new ideas and tools for clinical diagnosis and treatment.
Conclusion:
Sub-cluster B cells may play a significant role in post-MI HF. We found that the STING1, HSPB1, CCL5, ACTN1, and ITGB2 genes in patients with post-MI HF showed the same trend of increase as those without post-MI HF.
