OBJECTIVE: Mitral annular calcification (MAC) is characterized by degenerative calcification of the mitral valve annulus. Atherosclerosis plays role in progression of MAC. Fetuin A is the inhibitor of pathological calcification. In the present study, we investigated the relationship between MAC and fetuin A with carotid intima media thickness (CIMT) and endothelial dysfunction. METHODS: In this observational cross-sectional study, 40 patients with documented MAC on transthoracic echocardiography and 40 without MAC were included. All patients had coronary artery disease (CAD). Endothelial functions were assessed by brachial artery Doppler ultrasound (USG) and carotid artery Doppler USG. Serum fetuin-A level was also measured. Linear regression analysis and receiver operator curve analysis were performed. RESULTS: Endothelial derived vasodilatory response (EDVR) was significantly decreased and CIMT value was increased in MAC group. There was a strong positive correlation between EDVR and serum fetuin-A value. There was a strong negative correlation between CIMT and EDVR, moderately negative correlation between CIMT and serum fetuin-A level. Simple linear regression analysis revealed that CIMT (β=0.367, p=0.001) and serum fetuin-A level (β=-0.291, p=0.009) were independent factors associated with MAC. The area under the curve (AUC) for serum fetuin-A level was 0.731 (95% 0.620-0.824) and AUC for CIMT was 0.724 (95% CI 0.613-0.818). CONCLUSION: We observed that MAC is closely related with CIMT and serum fetuin-A level. Serum fetuin-A and CIMT can be used as independent markers in the diagnosis of MAC. We suggest that MAC can be used as an early determinant of CAD.
OBJECTIVE:Mitral annular calcification (MAC) is characterized by degenerative calcification of the mitral valve annulus. Atherosclerosis plays role in progression of MAC. Fetuin A is the inhibitor of pathological calcification. In the present study, we investigated the relationship between MAC and fetuin A with carotid intima media thickness (CIMT) and endothelial dysfunction. METHODS: In this observational cross-sectional study, 40 patients with documented MAC on transthoracic echocardiography and 40 without MAC were included. All patients had coronary artery disease (CAD). Endothelial functions were assessed by brachial artery Doppler ultrasound (USG) and carotid artery Doppler USG. Serum fetuin-A level was also measured. Linear regression analysis and receiver operator curve analysis were performed. RESULTS: Endothelial derived vasodilatory response (EDVR) was significantly decreased and CIMT value was increased in MAC group. There was a strong positive correlation between EDVR and serum fetuin-A value. There was a strong negative correlation between CIMT and EDVR, moderately negative correlation between CIMT and serum fetuin-A level. Simple linear regression analysis revealed that CIMT (β=0.367, p=0.001) and serum fetuin-A level (β=-0.291, p=0.009) were independent factors associated with MAC. The area under the curve (AUC) for serum fetuin-A level was 0.731 (95% 0.620-0.824) and AUC for CIMT was 0.724 (95% CI 0.613-0.818). CONCLUSION: We observed that MAC is closely related with CIMT and serum fetuin-A level. Serum fetuin-A and CIMT can be used as independent markers in the diagnosis of MAC. We suggest that MAC can be used as an early determinant of CAD.
Authors: Elżbieta Reichert; Jerzy Mosiewicz; Wojciech Myśliński; Andrzej Jaroszyński; Agata Stanek; Klaudia Brożyna-Tkaczyk; Barbara Madejska-Mosiewicz Journal: Int J Environ Res Public Health Date: 2022-05-25 Impact factor: 4.614
Authors: P Borsky; Z Fiala; C Andrys; M Beranek; K Hamakova; J Kremlacek; A Malkova; T Svadlakova; J Krejsek; V Palicka; V Rehacek; L Kotingova; L Borska Journal: Physiol Res Date: 2021-05-12 Impact factor: 1.881
Authors: Murat Aydin; Ahsen Yilmaz; Mustafa Metin Donma; Feti Tulubas; Muhammed Demirkol; Murat Erdogan; Ahmet Gurel Journal: North Clin Istanb Date: 2015-09-25
Authors: Anton G Kutikhin; Elena A Velikanova; Rinat A Mukhamadiyarov; Tatiana V Glushkova; Vadim V Borisov; Vera G Matveeva; Larisa V Antonova; Dmitriy E Filip'ev; Alexey S Golovkin; Daria K Shishkova; Andrey Yu Burago; Alexey V Frolov; Viktor Yu Dolgov; Olga S Efimova; Anna N Popova; Valentina Yu Malysheva; Alexandr A Vladimirov; Sergey A Sozinov; Zinfer R Ismagilov; Dmitriy M Russakov; Alexander A Lomzov; Dmitriy V Pyshnyi; Anton K Gutakovsky; Yuriy A Zhivodkov; Evgeniy A Demidov; Sergey E Peltek; Viatcheslav F Dolganyuk; Olga O Babich; Evgeniy V Grigoriev; Elena B Brusina; Olga L Barbarash; Arseniy E Yuzhalin Journal: Sci Rep Date: 2016-06-02 Impact factor: 4.379