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Updated: Sep 2, 2025

Author Spotlight: Exploring the Relationship Between Lipotoxicity and HFpEF
Published on: March 29, 2024
Heart failure in obesity: insights from proteomics in patients treated with or without weight-loss surgery
Kristjan Karason1,2, Nicolas Girerd3, Johanna Andersson-Asssarsson4
1Department of Cardiology and Transplant Institute, Sahlgrenska University Hospital, Gothenburg, Sweden. kristjan.karason@medfak.gu.se.
Insights
Obesity increases heart failure (HF) risk through pathways like inflammation and matrix remodeling. Specific protein biomarkers may predict HF in obese individuals, particularly those not undergoing weight-loss surgery.
Area of Science:
- Cardiovascular Medicine
- Metabolic Disorders
- Proteomics
Background:
- Obesity is a known risk factor for developing heart failure (HF).
- The precise biological mechanisms linking obesity to HF remain incompletely understood.
Purpose of the Study:
- To investigate plasma protein biomarkers associated with incident heart failure (HF) in the context of obesity.
- To elucidate the underlying pathophysiological pathways involved in obesity-related HF.
Main Methods:
- A nested case-control study was conducted within the Swedish-Obese-Subjects cohort.
- 411 HF cases were matched with 410 controls based on age, sex, weight-loss surgery, and follow-up duration.
- 182 cardiovascular-related plasma proteins were analyzed for their association with HF risk.
Main Results:
- 32 plasma proteins were significantly associated with HF after multivariable analysis.
- 11 proteins were linked to increased HF risk, and one protein (LPL) was linked to reduced HF risk.
- Pathway analysis indicated roles for inflammation, matrix remodeling, cardiometabolic hormones, and hemostasis. Three proteins (C1QTNF1, FGF-21, CST3) showed obesity-specific HF prediction.
Conclusions:
- Inflammation, matrix remodeling, cardiometabolic hormones, and hemostasis are key pathways in obesity-related HF.
- Specific protein biomarkers may predict HF risk in obese individuals.
- Certain biomarkers appear to be specific to HF prediction in obese patients not undergoing weight-loss surgery.
Background:
Obesity is associated with incident heart failure (HF), but the underlying mechanisms are unclear.
Methods:
We performed a nested case-control study within the Swedish-Obese-Subjects study, by identifying 411 cases who developed HF and matched them with respect to age, sex, weight-loss-surgery and length of follow-up with 410 controls who did not develop HF. In analyses corrected for multiple testing, we studied 182 plasma proteins known to be related to cardiovascular disease to investigate whether they could add to the understanding of the processes underlying obesity-related HF.
Results:
A total of 821 subjects were followed for 16 ± 6 years. Multivariable analysis adjusted for matching variables revealed that 32 proteins were significantly associated with HF. Twelve proteins were related to HF ≥ 80% of the time using a bootstrap resampling approach (false-discovery-rate [FDR] < 0.05): 11 were associated with increased HF-risk: TNFRSF10A*, ST6GAL1, PRCP, MMP12, TIMP1, CCL3, QPCT, ANG, C1QTNF1, SERPINA5 and GAL-9; and one was related to reduced HF-risk: LPL. An further 20 proteins were associated with onset of HF 50-80% of the time using bootstrap resampling (FDR < 0.05). A pathway analysis including all significant 32 proteins suggested that these biomarkers were related to inflammation, matrix remodeling, cardiometabolic hormones and hemostasis. Three proteins, C1QTNF1, FGF-21 and CST3, reflecting dyslipidemia and kidney disease, displayed a higher association with HF in patients who did not undergo weight-loss-surgery and maintained with obesity.
Conclusion:
Pathways associated with HF in obesity include inflammation, matrix remodeling, cardiometabolic hormones and hemostasis; three protein biomarkers predicting HF appeared to be obesity-specific.
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