| Title |
A preliminary candidate approach identifies the combination of chemerin, fetuin-A, and fibroblast growth factors 19 and 21 as a potential biomarker panel of successful aging
|
|---|---|
| Published in |
GeroScience, April 2015
|
| DOI | 10.1007/s11357-015-9776-y |
| Pubmed ID | |
| Authors |
Fabian Sanchis-Gomar, Helios Pareja-Galeano, Alejandro Santos-Lozano, Nuria Garatachea, Carmen Fiuza-Luces, Letizia Venturini, Giovanni Ricevuti, Alejandro Lucia, Enzo Emanuele |
| Abstract |
Although the number of centenarians is growing worldwide, the potential factors influencing the aging process remain only partially elucidated. Researchers are increasingly focusing toward biomarkers as tools to shed more light on the pathophysiology of complex phenotypes, including the ability to reach successful aging, i.e., free of major chronic diseases. We therefore conducted a case-control study examining the potential associations of multiple candidate biomarkers in healthy centenarians and sex-matched healthy elderly controls. Using a case-control study of 81 centenarians (aged ≥ 100 years) selected based on the fact that they were disease-free and 46 healthy elderly controls (aged 70-80 years), serum levels of 15 different candidate biomarkers involved in the regulation of metabolism, angiogenesis, inflammation, and bone formation were measured. Of the 15 biomarkers tested, four molecules (chemerin, fetuin-A, and fibroblast growth factors [FGF] 19 and 21) were found to be independently associated with successful aging regardless of sex. Logistic regression analysis confirmed that chemerin, fetuin-A, FGF19, and FGF21 were independently associated with successful aging [predicted probability (PP) = 1 / [1 + 1 / exp (11.832 - 0.027 × (chemerin) - 0.009 × (fetuin-A) + 0.014 × (FGF19) - 0.007 × (FGF21)]. The area under the curve (AUC) of predicted probability values for the four-biomarker panel revealed that it can discriminate between centenarians and elderly controls with excellent accuracy (AUC > 0.94, P < 0.001). Although preliminary in essence and limited by the low sample size and lack of replication in other independent cohorts, our data suggest an independent association between successful aging and serum chemerin, fetuin-A, FGF19, and FGF21, which may provide novel information on the mechanisms behind the human aging process. Whether the four-biomarker panel may predict successful aging deserves further scrutiny. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| France | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 3 | 6% |
| Other | 3 | 6% |
| Other | 14 | 29% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 25% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Agricultural and Biological Sciences | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 December 2018.
All research outputs
#4,189,584
of 25,373,627 outputs
Outputs from GeroScience
#541
of 1,594 outputs
Outputs of similar age
#50,429
of 279,812 outputs
Outputs of similar age from GeroScience
#13
of 30 outputs
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