ArticleScientific reports2018
Differential protein profiling as a potential multi-marker approach for obese patients with heart failure: A retrospective study.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- A new insight of hypertrophic cardiomyopathy: integrated analysis of differentially expressed genes, expression quantitative trait loci, and mendelian randomization.Journal of cardiothoracic surgery · 2026Article
- Association between targeted inflammatory proteomics and insulin sensitivity as well as beta-cell function in subjects with normal glucose tolerance.Journal of molecular cell biology · 2026Article
- Vitamin D and Swimming Exercise Prevent Obesity in Rats under a High-Fat Diet via Targeting FATP4 and TLR4 in the Liver and Adipose Tissue.International journal of environmental research and public health · 2022Article
- Tumor-associated macrophages (TAMs) depend on MMP1 for their cancer-promoting role.Cell death discovery · 2021Article
- Differentially expressed serum proteins from obese Wistar rats as a risk factor for obesity-induced diseases.Scientific reports · 2020Article
- Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction.Scientific reports · 2019Article
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Authors and funding
11 authors at 6 institutions in 1 country.
Funding
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Abstract
Identification of novel circulating biomarkers predicting death and major cardio-metabolic events in obese patients with heart failure (HF) remains a research priority. In this study, we compared multi-marker profile of non-obese (NOB) and obese (OB) HF patients in relation to mortality outcome. The new multiplex proximity extension assay technology was used to analyze the levels of 92 proteins in plasma samples from HF patients according to body mass index (BMI) categories. At 2-year follow-up, all-cause mortality rates were significantly greater in NOB patients (BMI < 30 kg/m
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