Heart failure in obesity: insights from proteomics in patients treated with or without weight-loss surgery

被引:4
|
作者
Karason, Kristjan [1 ,2 ,3 ]
Girerd, Nicolas [4 ]
Andersson-Asssarsson, Johanna [3 ]
Duarte, Kevin [4 ]
Taube, Magdalena [3 ]
Svensson, Per-Arne [3 ,5 ]
Huby, Anne-Cecile [4 ]
Peltonen, Markku [6 ]
Carlsson, Lena M. [3 ]
Zannad, Faiez [4 ]
机构
[1] Sahlgrens Univ Hosp, Dept Cardiol, Gothenburg, Sweden
[2] Sahlgrens Univ Hosp, Transplant Inst, Gothenburg, Sweden
[3] Univ Gothenburg, Sahlgrenska Acad, Inst Med, Dept Mol & Clin Med, Gothenburg, Sweden
[4] CHRU Nancy Hop Brabois, Inst Lorrain Coeur & Vaisseaux Louis Mathieu, Ctr Invest Clin Module Plurithemat 1433, Vandoeuvre Les Nancy, France
[5] Univ Gothenburg, Inst Hlth & Care Sci, Sahlgrenska Acad, Gothenburg, Sweden
[6] Natl Inst Hlth & Welf, Helsinki, Finland
基金
瑞典研究理事会;
关键词
PROTEIN-C INHIBITOR; CARDIOVASCULAR-DISEASE; SUBJECTS SOS; SAMPLE-SIZE; RISK; INTERVENTION;
D O I
10.1038/s41366-022-01194-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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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页码:2088 / 2094
页数:7
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