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Serum levels of mitochondrial inhibitory factor 1 are independently associated with long-term prognosis in coronary artery disease: the GENES Study

Overview of attention for article published in BMC Medicine, August 2016
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Title
Serum levels of mitochondrial inhibitory factor 1 are independently associated with long-term prognosis in coronary artery disease: the GENES Study
Published in
BMC Medicine, August 2016
DOI 10.1186/s12916-016-0672-9
Pubmed ID
Authors

Annelise Genoux, Laeticia Lichtenstein, Jean Ferrières, Thibaut Duparc, Vanina Bongard, Paul-Louis Vervueren, Guillaume Combes, Dorota Taraszkiewicz, Meyer Elbaz, Michel Galinier, Bertrand Nassar, Jean-Bernard Ruidavets, Bertrand Perret, Laurent O. Martinez

Abstract

Epidemiological and observational studies have established that high-density lipoprotein cholesterol (HDL-C) is an independent negative cardiovascular risk factor. However, simple measurement of HDL-C levels is no longer sufficient for cardiovascular risk assessment. Therefore, there is a critical need for novel non-invasive biomarkers that would display prognostic superiority over HDL-C. Cell surface ecto-F1-ATPase contributes to several athero-protective properties of HDL, including reverse cholesterol transport and vascular endothelial protection. Serum inhibitory factor 1 (IF1), an endogenous inhibitor of ecto-F1-ATPase, is an independent determinant of HDL-C associated with low risk of coronary artery disease (CAD). This work aimed to examine the predictive value of serum IF1 for long-term mortality in CAD patients. Its informative value was compared to that of HDL-C. Serum IF1 levels were measured in 577 male participants with stable CAD (age 45-74 years) from the GENES (Genetique et ENvironnement en Europe du Sud) study. Vital status was yearly assessed, with a median follow-up of 11 years and a 29.5 % mortality rate. Cardiovascular mortality accounted for the majority (62.4 %) of deaths. IF1 levels were positively correlated with HDL-C (r s = 0.40; P < 0.001) and negatively with triglycerides (r s = -0.21, P < 0.001) and CAD severity documented by the Gensini score (r s = -0.13; P < 0.01). Total and cardiovascular mortality were lower at the highest quartiles of IF1 (HR = 0.55; 95 % CI, 0.38-0.89 and 0.50 (0.28-0.89), respectively) but not according to HDL-C. Inverse associations of IF1 with mortality remained significant, after multivariate adjustments for classical cardiovascular risk factors (age, smoking, physical activity, waist circumference, HDL-C, dyslipidemia, hypertension, and diabetes) and for powerful biological and clinical variables of prognosis, including heart rate, ankle-brachial index and biomarkers of cardiac diseases. The 10-year mortality was 28.5 % in patients with low IF1 (<0.42 mg/L) and 21.4 % in those with high IF1 (≥0.42 mg/L, P < 0.02). We investigated for the first time the relation between IF1 levels and long-term prognosis in CAD patients, and found an independent negative association. IF1 measurement might be used as a novel HDL-related biomarker to better stratify risk in populations at high risk or in the setting of pharmacotherapy.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Master 5 13%
Student > Ph. D. Student 4 10%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 5 13%
Unknown 11 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 20%
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 6 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Environmental Science 1 3%
Other 3 8%
Unknown 14 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2016.
All research outputs
#14,858,374
of 22,883,326 outputs
Outputs from BMC Medicine
#3,003
of 3,438 outputs
Outputs of similar age
#208,771
of 342,845 outputs
Outputs of similar age from BMC Medicine
#41
of 47 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.