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Carmona-Maurici J, Rosa A, Azcona-Granada N, Peña E, Ricart-Jané D, Viñas A, López-Tejero MD, Domingo JC, Miñarro A, Baena-Fustegueras JA, Peinado-Onsurbe J, Pardina E. Irisin as a Novel Biomarker of Subclinical Atherosclerosis in Severe Obesity. Int J Mol Sci 2023; 24:ijms24098171. [PMID: 37175880 PMCID: PMC10179106 DOI: 10.3390/ijms24098171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/27/2023] [Accepted: 05/01/2023] [Indexed: 05/15/2023] Open
Abstract
Severe obesity (SO) can accelerate atherosclerosis and the onset of acute cardiovascular events. The diagnosis of atherosclerosis in the context of a high body mass index (BMI) can be challenging, making the identification of biomarkers clinically relevant. We aimed to assess the usefulness of irisin as a biomarker for subclinical atherosclerosis in participants with SO. This prospective observational study included 61 participants undergoing bariatric surgery for SO, defined as a BMI >40 kg/m2 or >35 kg/m2 with at least one comorbidity. Atherosclerotic plaques were detected by ultrasound. Plasma samples were obtained 1 month before and at 6 and 12 months after bariatric surgery to measure irisin by ELISA. Additionally, subcutaneous samples of adipose tissue were taken and genotyped to identify irisin polymorphism rs3480. Irisin levels were positively correlated with BMI (r = 0.23, p = 0.0064), negatively correlated with atheroma-related parameters (e.g., carotid intima-media thickness), and lower in subjects with atheroma (p < 0.0002). Irisin also showed good overall accuracy for discriminating plaque presence (AUC, 0.81; 95% CI, 0.6956-0.9156). However, the rs3480 polymorphism correlated with neither the irisin levels nor the presence of atheromas. Iirisin could identify subclinical atherosclerosis in SO and might facilitate clinical diagnosis.
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Affiliation(s)
- Júlia Carmona-Maurici
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Araceli Rosa
- Secció de Zoologia i Antropologia Biològica, Departament de Biologia Evolutiva Ecologia i Ciències Ambientals Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), 08028 Barcelona, Spain
- Centre for Biomedical Research Network on Mental Health (CIBERSAM), Instituto de Salud Carlos III, 28029 Barcelona, Spain
| | - Natalia Azcona-Granada
- Secció de Zoologia i Antropologia Biològica, Departament de Biologia Evolutiva Ecologia i Ciències Ambientals Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain
| | - Elionora Peña
- Secció de Zoologia i Antropologia Biològica, Departament de Biologia Evolutiva Ecologia i Ciències Ambientals Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain
| | - David Ricart-Jané
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Anna Viñas
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Maria Dolores López-Tejero
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Joan Carles Domingo
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Antonio Miñarro
- Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, 08028 Barcelona, Spain
| | - Juan Antonio Baena-Fustegueras
- Gastrointestinal Surgery Department, Arnau de Vilanova University Hospital, IRB Lleida, University of Lleida, 25198 Lleida, Spain
| | - Julia Peinado-Onsurbe
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
| | - Eva Pardina
- Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, Diagonal 643, 08028 Barcelona, Spain
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Wang Y, Zhang L, Wu L, Cao R, Peng X, Fu L. An Association Between FNDC5, PGC-1α Genetic Variants and Obesity in Chinese Children: A Case-Control Study. Diabetes Metab Syndr Obes 2023; 16:47-59. [PMID: 36760581 PMCID: PMC9843619 DOI: 10.2147/dmso.s391219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/15/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Fibronectin type III domain containing protein 5 (FNDC5) gene encodes irisin that regulates adipose tissue metabolism. Peroxide-proliferator-activated receptor γ coactivator 1α (PGC-1α) is a powerful promoter of mitochondrial biosynthesis and oxidative metabolism, which plays an important role in inducing heat production and energy consumption of brown fat. PGC1-α expression stimulated an increase in expression of FNDC5. PURPOSE The aims of this study were to analyze the association between FNDC5, PGC-1α genetic variants and overweight or obesity in Chinese children and adolescents. METHODS A total of 198 children and adolescents with overweight or obesity and 198 children and adolescents with normal weight were screened according to gender and age 1:1. The healthy eating behaviors, moderate-to-vigorous physical activity time were surveyed using food frequency questionnaire and CLASS questionnaire, respectively. Genotypes of FNDC5 and PGC-1α gene were detected using SNaPshot method. RESULTS GT genotype of FNDC5 (rs16835198) increased the risk of overweight or obesity in boys (OR (95% CI): 1.68 (1.00, 2.93)) based on overdominant model; GG genotype of FNDC5 (rs16835198) decreased the risk of overweight or obesity in girls and boys (OR (95% CI): 0.45 (0.21,0.97), 0.45 (0.24, 0.83), respectively) based on dominant model; TT genotype of FNDC5 (rs16835198) increased the risk of overweight or obesity in girls based on recessive model (OR (95% CI): 2.46 (1.19, 5.05)), and based on the additive model (OR (95% CI): 3.82 (1.49, 9.80)). There was significant interaction between FNDC5 (rs16835198) and PGC-1α (rs3755863, rs8192678), healthy eating behaviors, moderate-to-vigorous physical activity time, interaction between PGC-1α (rs8192678) and moderate-to-vigorous physical activity time in the occurrence of overweight or obesity in Chinese children and adolescents. CONCLUSION FNDC5 (rs16835198) played an independent or interactive role with PGC-1α (rs3755863, rs8192678), healthy eating behaviors, moderate-to-vigorous physical activity time in the occurrence of overweight or obesity in Chinese children and adolescents.
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Affiliation(s)
- Yuanyuan Wang
- Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China
| | - Li Zhang
- Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China
| | - Lu Wu
- Graduate School of Wannan Medical College, Wuhu, People’s Republic of China
| | - Ruiyao Cao
- Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China
| | - Xingwang Peng
- Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China
| | - Lianguo Fu
- Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, People’s Republic of China
- Correspondence: Lianguo Fu, Department of Children and Adolescent Health, School of Public Health, Bengbu Medical College, Bengbu, 233000, People’s Republic of China, Tel +8613195529639, Fax +86-5523175215, Email
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Peng F, Zheng T, Tang X, Liu Q, Sun Z, Feng Z, Zhao H, Gong L. Magnetic Resonance Texture Analysis in Myocardial Infarction. Front Cardiovasc Med 2021; 8:724271. [PMID: 34778395 PMCID: PMC8581163 DOI: 10.3389/fcvm.2021.724271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 09/27/2021] [Indexed: 11/13/2022] Open
Abstract
Texture analysis (TA) is a newly arisen field that can detect the invisible MRI signal changes among image pixels. Myocardial infarction (MI) is cardiomyocyte necrosis caused by myocardial ischemia and hypoxia, becoming the primary cause of death and disability worldwide. In recent years, various TA studies have been performed in patients with MI and show a good clinical application prospect. This review briefly presents the main pathogenesis and pathophysiology of MI, introduces the overview and workflow of TA, and summarizes multiple magnetic resonance TA (MRTA) clinical applications in MI. We also discuss the facing challenges currently for clinical utilization and propose the prospect.
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Affiliation(s)
- Fei Peng
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Tian Zheng
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaoping Tang
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qiao Liu
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zijing Sun
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhaofeng Feng
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Heng Zhao
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Lianggeng Gong
- Department of Medical Imaging Center, Second Affiliated Hospital of Nanchang University, Nanchang, China
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