Literature DB >> 26888181

Circulating fibroblast growth factor-23 plasma levels predict adverse cardiovascular outcomes in patients with diabetes mellitus with coronary artery disease.

José Tuñón1,2, Beatriz Fernández-Fernández3, Rocío Carda3, Ana M Pello3, Carmen Cristóbal4,5, Nieves Tarín6, Álvaro Aceña3, María Luisa González-Casaus7, Ana Huelmos8, Joaquín Alonso5,9, Óscar Lorenzo3,10, Emilio González-Parra3,10, Ignacio Hernández-González3, Ignacio Mahíllo-Fernández3, Lorenzo López-Bescós5, Jesús Egido3,10,11.   

Abstract

BACKGROUND: Abnormalities of fibroblast growth factor-23 (FGF-23) plasma levels predict adverse outcomes in patients with coronary artery disease. However, FGF-23 has a different behaviour in the presence of type 2 diabetes mellitus (T2D). We explored whether the presence of T2D affects the predictive power of FGF-23.
METHODS: In 704 patients with stable coronary artery disease, FGF-23, calcidiol, parathormone (PTH) and phosphate plasma levels were prospectively assessed. The primary outcome was the development of acute ischemic events (acute coronary syndrome, stroke or transient ischemic attack), heart failure or death.
RESULTS: One hundred seventy-three (24.6%) patients had T2D, without differences in age, sex or estimated glomerular filtration rate as compared with non-diabetic patients. Serum PTH was lower and phosphate higher in T2D than in non-diabetic patients, without differences in FGF-23 or calcidiol levels. During follow-up (2.15 ± 0.99 years), 26 (15.2%) T2D and 51 (9.6%) non-diabetic patients developed the outcome (p = 0.048). T2D patients who developed the outcome had higher FGF-23 [112.0 (59.9, 167.6) vs 68.9 (54.2, 93.0) RU/mL; p = 0.002], PTH [71.3 (47.3, 106.6) vs 51.9 (40.8, 66.2) pg/mL; p = 0.004) and phosphate (3.53 ± 0.71 vs 3.25 ± 0.50 mg/dL; p = 0.017) levels than T2D subjects who remained stable. These differences were not significant in non-diabetic patients. By multivariable Cox proportional hazard model, FGF-23 predicted independently the outcome in T2D patients [hazard ratio = 1.277; 95% CI (1.132, 1.442)] but not in those without T2D.
CONCLUSIONS: FGF-23 plasma levels predict adverse cardiovascular outcomes in coronary artery disease patients who have T2D but not in those without T2D. This finding should be confirmed in larger studies.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  coronary artery disease; diabetes mellitus; fibroblast growth factor-23; mineral metabolism; vitamin D

Mesh:

Substances:

Year:  2016        PMID: 26888181     DOI: 10.1002/dmrr.2787

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  16 in total

Review 1.  Lifestyle Management of Diabetes: Implications for the Bone-Vascular Axis.

Authors:  Silvia Pieralice; Francesca Vigevano; Rossella Del Toro; Nicola Napoli; Ernesto Maddaloni
Journal:  Curr Diab Rep       Date:  2018-08-18       Impact factor: 4.810

2.  Fibroblast Growth Factor 23 and Cardiovascular Risk in Diabetes Patients-Cardiologists Be Aware.

Authors:  Anna Kurpas; Karolina Supel; Paulina Wieczorkiewicz; Joanna Bodalska Duleba; Marzenna Zielinska
Journal:  Metabolites       Date:  2022-05-30

Review 3.  FGF-23 and cardiovascular disease: review of literature.

Authors:  Jasveen Batra; Rupinder Singh Buttar; Pardeep Kaur; Jacqueline Kreimerman; Michal L Melamed
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2016-12       Impact factor: 3.243

4.  Association of Fibroblast Growth Factor 23 With Recurrent Cardiovascular Events in Patients After an Acute Coronary Syndrome: A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Brian A Bergmark; Jacob A Udell; David A Morrow; Christopher P Cannon; Dylan L Steen; Petr Jarolim; Andrzej Budaj; Christian Hamm; Jianping Guo; KyungAh Im; Julia F Kuder; Eugene Braunwald; Marc S Sabatine; Michelle L O'Donoghue
Journal:  JAMA Cardiol       Date:  2018-06-01       Impact factor: 14.676

Review 5.  Roles of FGF Signals in Heart Development, Health, and Disease.

Authors:  Nobuyuki Itoh; Hiroya Ohta; Yoshiaki Nakayama; Morichika Konishi
Journal:  Front Cell Dev Biol       Date:  2016-10-18

Review 6.  Nutrients Turned into Toxins: Microbiota Modulation of Nutrient Properties in Chronic Kidney Disease.

Authors:  Raul Fernandez-Prado; Raquel Esteras; Maria Vanessa Perez-Gomez; Carolina Gracia-Iguacel; Emilio Gonzalez-Parra; Ana B Sanz; Alberto Ortiz; Maria Dolores Sanchez-Niño
Journal:  Nutrients       Date:  2017-05-12       Impact factor: 5.717

7.  Multiplex proteomics for prediction of major cardiovascular events in type 2 diabetes.

Authors:  Christoph Nowak; Axel C Carlsson; Carl Johan Östgren; Fredrik H Nyström; Moudud Alam; Tobias Feldreich; Johan Sundström; Juan-Jesus Carrero; Jerzy Leppert; Pär Hedberg; Egil Henriksen; Antonio C Cordeiro; Vilmantas Giedraitis; Lars Lind; Erik Ingelsson; Tove Fall; Johan Ärnlöv
Journal:  Diabetologia       Date:  2018-05-24       Impact factor: 10.122

8.  FGF23 Concentration and APOL1 Genotype Are Novel Predictors of Mortality in African Americans With Type 2 Diabetes.

Authors:  Gary C Chan; Jasmin Divers; Gregory B Russell; Carl D Langefeld; Lynne E Wagenknecht; Fang-Chi Hsu; Jianzhao Xu; S Carrie Smith; Nicholette D Palmer; Pamela J Hicks; Donald W Bowden; Thomas C Register; Lijun Ma; J Jeffrey Carr; Barry I Freedman
Journal:  Diabetes Care       Date:  2017-11-07       Impact factor: 19.112

9.  Growth differentiation factor-15 and fibroblast growth factor-23 are associated with mortality in type 2 diabetes - An observational follow-up study.

Authors:  Marie Frimodt-Møller; Bernt Johan von Scholten; Henrik Reinhard; Peter Karl Jacobsen; Tine Willum Hansen; Frederik Ivar Persson; Hans-Henrik Parving; Peter Rossing
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

10.  Galectin-3 Is Associated with Cardiovascular Events in Post-Acute Coronary Syndrome Patients with Type-2 Diabetes.

Authors:  A Lorenzo-Almorós; A Pello; Á Aceña; J Martínez-Milla; Ó González-Lorenzo; N Tarín; C Cristóbal; L M Blanco-Colio; J L Martín-Ventura; A Huelmos; C Gutiérrez-Landaluce; M López-Castillo; A Kallmeyer; E Cánovas; J Alonso; L López Bescós; J Egido; Ó Lorenzo; J Tuñón
Journal:  J Clin Med       Date:  2020-04-13       Impact factor: 4.241

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