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Yuan X, Kang H, Qin Y, Li H, Li L, Li Y, Wang M, Li N, Deng Y, Li X, Yu P, Wang Y, Liu Z. Biomarkers for congenital ventricular outflow tract malformations based on maternal serum lipid metabolomics analysis. BMC Pregnancy Childbirth 2024; 24:547. [PMID: 39164614 PMCID: PMC11334326 DOI: 10.1186/s12884-024-06738-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 08/05/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND The congenital ventricular outflow tract malformations (CVOTMs) is a major congenital heart diseases (CHDs) subtype, and its pathogenesis is complex and unclear. Lipid metabolic plays a crucial role in embryonic cardiovascular development. However, due to the limited types of detectable metabolites in previous studies, findings on lipid metabolic and CHDs are still inconsistent, and the possible mechanism of CHDs remains unclear. METHODS The nest case-control study obtained subjects from the multicenter China Teratology Birth Cohort (CTBC), and maternal serum from the pregnant women enrolled during the first trimester was utilized. The subjects were divided into a discovery set and a validation set. The metabolomics of CVOTMs and normal fetuses were analyzed by targeted lipid metabolomics. Differential comparison, random forest and lasso regression were used to screen metabolic biomarkers. RESULTS The lipid metabolites were distributed differentially between the cases and controls. Setting the selection criteria of P value < 0.05, and fold change (FC) > 1.2 or < 0.833, we screened 70 differential metabolites. Within the prediction model by random forest and lasso regression, DG (14:0_18:0), DG (20:0_18:0), Cer (d18:2/20:0), Cer (d18:1/20:0) and LPC (0:0/18:1) showed good prediction effects in discovery and validation sets. Differential metabolites were mainly concentrated in glycerolipid and glycerophospholipids metabolism, insulin resistance and lipid & atherosclerosis pathways, which may be related to the occurrence and development of CVOTMs. CONCLUSION Findings in this study provide a new metabolite data source for the research on CHDs. The differential metabolites and involved metabolic pathways may suggest new ideas for further mechanistic exploration of CHDs, and the selected biomarkers may provide some new clues for detection of COVTMs.
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Affiliation(s)
- Xuelian Yuan
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Hong Kang
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Yuqin Qin
- Department of Obstetrics and Gynecology, Maternal and Child Healthcare Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Haibo Li
- Department of Obstetrics and Gynecology, Fujian provincial Maternal and Child Healthcare Hospital, Fuzhou, Fujian, China
| | - Lu Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Yuting Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Meixian Wang
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Nana Li
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Ying Deng
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Xiaohong Li
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Ping Yu
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Yanping Wang
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
| | - Zhen Liu
- National Center for Birth Defects Monitoring of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
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Hu W, Wang W, Liao H, Bulloch G, Zhang X, Shang X, Huang Y, Hu Y, Yu H, Yang X, He M, Zhu Z. Metabolic profiling reveals circulating biomarkers associated with incident and prevalent Parkinson's disease. NPJ Parkinsons Dis 2024; 10:130. [PMID: 38982064 PMCID: PMC11233508 DOI: 10.1038/s41531-024-00713-2] [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: 09/22/2023] [Accepted: 04/19/2024] [Indexed: 07/11/2024] Open
Abstract
The metabolic profile predating the onset of Parkinson's disease (PD) remains unclear. We aim to investigate the metabolites associated with incident and prevalent PD and their predictive values in the UK Biobank participants with metabolomics and genetic data at the baseline. A panel of 249 metabolites was quantified using a nuclear magnetic resonance analytical platform. PD was ascertained by self-reported history, hospital admission records and death registers. Cox proportional hazard models and logistic regression models were used to investigate the associations between metabolites and incident and prevalent PD, respectively. Area under receiver operating characteristics curves (AUC) were used to estimate the predictive values of models for future PD. Among 109,790 participants without PD at the baseline, 639 (0.58%) individuals developed PD after one year from the baseline during a median follow-up period of 12.2 years. Sixty-eight metabolites were associated with incident PD at nominal significance (P < 0.05), spanning lipids, lipid constituent of lipoprotein subclasses and ratios of lipid constituents. After multiple testing corrections (P < 9 × 10-4), polyunsaturated fatty acids (PUFA) and omega-6 fatty acids remained significantly associated with incident PD, and PUFA was shared by incident and prevalent PD. Additionally, 14 metabolites were exclusively associated with prevalent PD, including amino acids, fatty acids, several lipoprotein subclasses and ratios of lipids. Adding these metabolites to the conventional risk factors yielded a comparable predictive performance to the risk-factor-based model (AUC = 0.766 vs AUC = 0.768, P = 0.145). Our findings suggested metabolic profiles provided additional knowledge to understand different pathways related to PD before and after its onset.
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Affiliation(s)
- Wenyi Hu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Huan Liao
- Neural Regeneration Group, Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany
| | - Gabriella Bulloch
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
| | - Xiayin Zhang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xianwen Shang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia
| | - Yu Huang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yijun Hu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Mingguang He
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia.
- School of Optometry, The Hong Kong Polytechnic University, Hong Kong SAR, China.
- Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
| | - Zhuoting Zhu
- Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Centre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia.
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia.
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Mutithu DW, Kirwan JA, Adeola HA, Aremu OO, Lumngwena EN, Wiesner L, Skatulla S, Naidoo R, Ntusi NAB. High-Throughput Metabolomics Applications in Pathogenesis and Diagnosis of Valvular Heart Disease. Rev Cardiovasc Med 2023; 24:169. [PMID: 39077521 PMCID: PMC11264134 DOI: 10.31083/j.rcm2406169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/09/2023] [Accepted: 05/18/2023] [Indexed: 07/31/2024] Open
Abstract
High-throughput metabolomics techniques are a useful tool to understand many disease conditions including cardiovascular disease such as valvular heart disease(s) (VHD). VHD involves damage to heart valves, mostly presenting as stenosis, regurgitation or prolapse and can be classified into degenerative, rheumatic, congenital, or prosthetic valve disease. Gaps remain in our understanding of the pathogenesis of the common VHD. It is now fitting to place into perspective the contribution of metabolomics in the mechanism of development, diagnosis, and prognosis of VHD. A structured search for metabolomics studies centred on human VHD was undertaken. Biomarkers associated with the pathogenesis of bicuspid aortic valve disease, mitral valve disease, rheumatic heart disease, and degenerative aortic valve stenosis are reviewed and discussed. In addition, metabolic biomarkers reported to prognosticate patient outcomes of post-valve repair or replacement are highlighted. Finally, we also review the pitfalls and limitations to consider when designing metabolomics studies, especially from a clinician's viewpoint. In the future, reliable and simple metabolic biomarker(s) may supplement the existing diagnostic tools in the early diagnosis of VHD.
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Affiliation(s)
- Daniel W. Mutithu
- Division of Cardiology, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa
- Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, 7501 Cape Town, South Africa
| | - Jennifer A. Kirwan
- Metabolomics Platform, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
- Max-Delbrück-Center (MDC) for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Henry A. Adeola
- Hair and Skin Research Laboratory, Division of Dermatology, Department of Medicine, University of Cape Town, 7925 Cape Town, South Africa
| | - Olukayode O. Aremu
- Division of Cardiology, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa
- Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, 7501 Cape Town, South Africa
| | - Evelyn N. Lumngwena
- Division of Cardiology, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa
- Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, 7501 Cape Town, South Africa
- Institute of Infectious Diseases and Molecular Medicine (IIDM), University of Cape Town, 7925 Cape Town, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, 7925 Cape Town, South Africa
| | - Sebastian Skatulla
- Computational Continuum Mechanics Research Group, Department of Civil Engineering, Faculty of Engineering and the Built Environment, University of Cape Town, 7925 Cape Town, South Africa
| | - Richard Naidoo
- Division of Anatomical Pathology, Department of Pathology, University of Cape Town, and National Health Laboratory Services, 7925 Cape Town, South Africa
| | - Ntobeko A. B. Ntusi
- Division of Cardiology, Department of Medicine, Faculty of Health Sciences, University of Cape Town and Groote Schuur Hospital, 7925 Cape Town, South Africa
- Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, 7501 Cape Town, South Africa
- Cape Universities Body Imaging Centre, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
- Wellcome Centre for Infectious Disease Research, Faculty of Health Sciences, University of Cape Town, 7925 Cape Town, South Africa
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Metabolomics: A New Tool in Our Understanding of Congenital Heart Disease. CHILDREN (BASEL, SWITZERLAND) 2022; 9:children9121803. [PMID: 36553246 PMCID: PMC9776621 DOI: 10.3390/children9121803] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/12/2022] [Accepted: 11/22/2022] [Indexed: 11/25/2022]
Abstract
Although the genetic origins underpinning congenital heart disease (CHD) have been extensively studied, genes, by themselves, do not entirely predict phenotypes, which result from the complex interplay between genes and the environment. Consequently, genes merely suggest the potential occurrence of a specific phenotype, but they cannot predict what will happen in reality. This task can be revealed by metabolomics, the most promising of the "omics sciences". Though metabolomics applied to CHD is still in its infant phase, it has already been applied to CHD prenatal diagnosis, as well as to predict outcomes after cardiac surgery. Particular metabolomic fingerprints have been identified for some of the specific CHD subtypes. The hallmarks of CHD-related pulmonary arterial hypertension have also been discovered. This review, which is presented in a narrative format, due to the heterogeneity of the selected papers, aims to provide the readers with a synopsis of the literature on metabolomics in the CHD setting.
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Yuan X, Li L, Kang H, Wang M, Zeng J, Lei Y, Li N, Yu P, Li X, Liu Z. Biomarkers for isolated congenital heart disease based on maternal amniotic fluid metabolomics analysis. BMC Cardiovasc Disord 2022; 22:495. [PMID: 36404327 PMCID: PMC9677635 DOI: 10.1186/s12872-022-02912-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 10/24/2022] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Congenital heart disease (CHD) is one of the most prevalent birth defects in the world. The pathogenesis of CHD is complex and unclear. With the development of metabolomics technology, variations in metabolites may provide new clues about the causes of CHD and may serve as a biomarker during pregnancy. METHODS Sixty-five amniotic fluid samples (28 cases and 37 controls) during the second and third trimesters were utilized in this study. The metabolomics of CHD and normal fetuses were analyzed by untargeted metabolomics technology. Differential comparison and randomForest were used to screen metabolic biomarkers. RESULTS A total of 2472 metabolites were detected, and they were distributed differentially between the cases and controls. Setting the selection criteria of fold change (FC) ≥ 2, P value < 0.01 and variable importance for the projection (VIP) ≥ 1.5, we screened 118 differential metabolites. Within the prediction model by random forest, PE(MonoMe(11,5)/MonoMe(13,5)), N-feruloylserotonin and 2,6-di-tert-butylbenzoquinone showed good prediction effects. Differential metabolites were mainly concentrated in aldosterone synthesis and secretion, drug metabolism, nicotinate and nicotinamide metabolism pathways, which may be related to the occurrence and development of CHD. CONCLUSION This study provides a new database of CHD metabolic biomarkers and mechanistic research. These results need to be further verified in larger samples.
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Affiliation(s)
- Xuelian Yuan
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Lu Li
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Hong Kang
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Meixian Wang
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Jing Zeng
- Department of Obstetrics & Gynecology, Longchang Maternal and Child Healthcare Hospital, Neijiang, Sichuan China
| | - Yanfang Lei
- Department of Obstetrics, Zhaotong Second People’s Hospital, Zhaotong, Yunnan China
| | - Nana Li
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Ping Yu
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Xiaohong Li
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
| | - Zhen Liu
- grid.461863.e0000 0004 1757 9397National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, Sichuan China ,Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sec.3 No.17, South RenMin Road, Chengdu, Sichuan China
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Chessa M, Panebianco M, Corbu S, Lussu M, Dessì A, Pintus R, Cesare Marincola F, Fanos V. Urinary Metabolomics Study of Patients with Bicuspid Aortic Valve Disease. Molecules 2021; 26:molecules26144220. [PMID: 34299495 PMCID: PMC8304733 DOI: 10.3390/molecules26144220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Bicuspid aortic valve (BAV) is the most common congenital heart defect responsible for valvular and aortic complications in affected patients. Causes and mechanisms of this pathology are still elusive and thus the lack of early detection biomarkers leads to challenges in its diagnosis and prevention of associated cardiovascular anomalies. The aim of this study was to explore the potential use of urine Nuclear Magnetic Resonance (NMR) metabolomics to evaluate a molecular fingerprint of BAV. Both multivariate and univariate statistical analyses were performed to compare the urinary metabolome of 20 patients with BAV with that of 24 matched controls. Orthogonal partial least squared discriminant analysis (OPLS-DA) showed statistically significant discrimination between cases and controls, suggesting seven metabolites (3-hydroxybutyrate, alanine, betaine, creatine, glycine, hippurate, and taurine) as potential biomarkers. Among these, glycine, hippurate and taurine individually displayed medium sensitivity and specificity by receiver operating characteristic (ROC) analysis. Pathway analysis indicated two metabolic pathways likely perturbed in BAV subjects. Possible contributions of gut microbiota activity and energy imbalance are also discussed. These results constitute encouraging preliminary findings in favor of the use of urine-based metabolomics for early diagnosis of BAV.
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Affiliation(s)
- Massimo Chessa
- Pediatric and Adult Congenital IRCCS, Policlinico San Donato, I-20097 San Donato Milanese, MI, Italy; (M.C.); (M.P.)
| | - Mario Panebianco
- Pediatric and Adult Congenital IRCCS, Policlinico San Donato, I-20097 San Donato Milanese, MI, Italy; (M.C.); (M.P.)
| | - Sara Corbu
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, University of Cagliari, S.P. n° 8, Km 0.700, I-09042 Monserrato, CA, Italy; (S.C.); (M.L.); (A.D.); (R.P.); (V.F.)
| | - Milena Lussu
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, University of Cagliari, S.P. n° 8, Km 0.700, I-09042 Monserrato, CA, Italy; (S.C.); (M.L.); (A.D.); (R.P.); (V.F.)
| | - Angelica Dessì
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, University of Cagliari, S.P. n° 8, Km 0.700, I-09042 Monserrato, CA, Italy; (S.C.); (M.L.); (A.D.); (R.P.); (V.F.)
| | - Roberta Pintus
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, University of Cagliari, S.P. n° 8, Km 0.700, I-09042 Monserrato, CA, Italy; (S.C.); (M.L.); (A.D.); (R.P.); (V.F.)
| | - Flaminia Cesare Marincola
- Department of Chemical and Geological Sciences, University of Cagliari, I-09042 Monserrato, CA, Italy
- Correspondence: ; Tel.: +39-070-675-4389
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Azienda Ospedaliera Universitaria, University of Cagliari, S.P. n° 8, Km 0.700, I-09042 Monserrato, CA, Italy; (S.C.); (M.L.); (A.D.); (R.P.); (V.F.)
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Abstract
Calcific aortic valve disease sits at the confluence of multiple world-wide epidemics of aging, obesity, diabetes, and renal dysfunction, and its prevalence is expected to nearly triple over the next 3 decades. This is of particularly dire clinical relevance, as calcific aortic valve disease can progress rapidly to aortic stenosis, heart failure, and eventually premature death. Unlike in atherosclerosis, and despite the heavy clinical toll, to date, no pharmacotherapy has proven effective to halt calcific aortic valve disease progression, with invasive and costly aortic valve replacement representing the only treatment option currently available. This substantial gap in care is largely because of our still-limited understanding of both normal aortic valve biology and the key regulatory mechanisms that drive disease initiation and progression. Drug discovery is further hampered by the inherent intricacy of the valvular microenvironment: a unique anatomic structure, a complex mixture of dynamic biomechanical forces, and diverse and multipotent cell populations collectively contributing to this currently intractable problem. One promising and rapidly evolving tactic is the application of multiomics approaches to fully define disease pathogenesis. Herein, we summarize the application of (epi)genomics, transcriptomics, proteomics, and metabolomics to the study of valvular heart disease. We also discuss recent forays toward the omics-based characterization of valvular (patho)biology at single-cell resolution; these efforts promise to shed new light on cellular heterogeneity in healthy and diseased valvular tissues and represent the potential to efficaciously target and treat key cell subpopulations. Last, we discuss systems biology- and network medicine-based strategies to extract meaning, mechanisms, and prioritized drug targets from multiomics datasets.
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Affiliation(s)
- Mark C. Blaser
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Simon Kraler
- Center for Molecular Cardiology, University of Zurich, Schlieren, CH
| | - Thomas F. Lüscher
- Center for Molecular Cardiology, University of Zurich, Schlieren, CH
- Heart Division, Royal Brompton & Harefield Hospitals, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Elena Aikawa
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Excellence in Vascular Biology, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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Martínez-Micaelo N, Ligero C, Antequera-González B, Junza A, Yanes O, Alegret JM. Plasma Metabolomic Profiling Associates Bicuspid Aortic Valve Disease and Ascending Aortic Dilation with a Decrease in Antioxidant Capacity. J Clin Med 2020; 9:jcm9072215. [PMID: 32668689 PMCID: PMC7408840 DOI: 10.3390/jcm9072215] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/17/2020] [Accepted: 07/02/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The bicuspid aortic valve (BAV) is the most common cardiac congenital disease and is associated with an increased risk of developing ascending aorta dilation; which can have fatal consequences. Currently; no established risk biomarkers exist to facilitate the diagnosis and prognosis of BAV. METHODS Using an untargeted metabolomic approach; we identified the levels of metabolites in plasma samples and compared them depending on the bicuspid or tricuspid morphology of the aortic valve. Including those patients with ascending aortic dilation and/or aortic stenosis (n = 212), we analyzed the role possibly played by alpha-Tocopherol in BAV disease; considering its association with the pathophysiological characteristics of BAV and biomarkers related to inflammation, oxidative stress and endothelial damage, as well as characteristics related to alpha-Tocopherol functionality and metabolism. RESULTS We found that BAV patients; especially those with ascending aortic dilation; presented lower antioxidant capacity; as determined by decreased plasma levels of alpha-Tocopherol; paraoxonase 1 and high-density lipoprotein (HDL), as well as increased levels of C-reactive protein (CRP; a biomarker of inflammation) and endothelial microparticles (EMPs; an endothelial damage biomarker). By applying random forest analyses; we evaluated the significant screening capacity of alpha-Tocopherol; CRP and EMPs to classify patients depending on the morphology of the aortic valve. DISCUSSION Our findings support the role of decreased antioxidant capacity; increased inflammation and endothelial damage in the pathogenesis of BAV and the progression of aortic dilation. Moreover; determining the plasma levels of alpha-Tocopherol; CRP and EMPs could improve BAV diagnosis in large populations.
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Affiliation(s)
- Neus Martínez-Micaelo
- Grup de Recerca Cardiovascular, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43201 Reus, Spain; (C.L.); (B.A.-G.)
- Correspondence: (N.M.-M.); (J.M.A.); Tel.: +34-977310300 (N.M.-M.); Fax: +34-977315144 (N.M.-M.)
| | - Carme Ligero
- Grup de Recerca Cardiovascular, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43201 Reus, Spain; (C.L.); (B.A.-G.)
- Servei de Cardiologia, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Borja Antequera-González
- Grup de Recerca Cardiovascular, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43201 Reus, Spain; (C.L.); (B.A.-G.)
| | - Alexandra Junza
- Metabolomics Platform, Institut d’Investigació Sanitària Pere Virgili (IISPV), Department of Electronic Engineering, Universitat Rovira i Virgili, 43007 Tarragona, Spain; (A.J.); (O.Y.)
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029 Madrid, Spain
| | - Oscar Yanes
- Metabolomics Platform, Institut d’Investigació Sanitària Pere Virgili (IISPV), Department of Electronic Engineering, Universitat Rovira i Virgili, 43007 Tarragona, Spain; (A.J.); (O.Y.)
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029 Madrid, Spain
| | - Josep M. Alegret
- Grup de Recerca Cardiovascular, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43201 Reus, Spain; (C.L.); (B.A.-G.)
- Servei de Cardiologia, Hospital Universitari de Sant Joan, Universitat Rovira i Virgili, 43201 Reus, Spain
- Correspondence: (N.M.-M.); (J.M.A.); Tel.: +34-977310300 (N.M.-M.); Fax: +34-977315144 (N.M.-M.)
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Jiang L, Wang J, Li R, Fang ZM, Zhu XH, Yi X, Lan H, Wei X, Jiang DS. Disturbed energy and amino acid metabolism with their diagnostic potential in mitral valve disease revealed by untargeted plasma metabolic profiling. Metabolomics 2019; 15:57. [PMID: 30937548 DOI: 10.1007/s11306-019-1518-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 03/25/2019] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Mitral valve disease (MVD), including mitral valve regurgitation (MR) and mitral valve stenosis (MS), is a chronic and progressive cardiac malady. However, the metabolic alterations in MVD is not well-understood till now. The current gold standard diagnostic test, transthoracic echocardiography, has limitations on high-throughput measurement and lacks molecular information for early diagnosis of the disease. OBJECTIVE The present study aimed to investigate the biochemical alterations and to explore their diagnostic potential for MVD. METHODS Plasma metabolic profile derangements and their diagnostic potential were non-invasively explored in 34 MR and 20 MS patients against their corresponding controls, using high-throughput NMR-based untargeted metabolomics. RESULTS Eighteen differential metabolites were identified for MR and MS patients respectively, on the basis of multivariate and univariate data analysis, which were mainly involved in energy metabolism, amino acid metabolism, calcium metabolism and inflammation. These differential metabolites, notably the significantly down-regulated formate and lactate, showed high diagnostic potential for MVD by using Spearman's rank-order correlation analysis and ROC analysis. CONCLUSIONS To the best of our knowledge, the present study is the first one that explores the metabolic derangements and their diagnostic values in MVD patients using metabolomics. The findings indicated that metabolic disturbance occurred in MVD patients, with plasma formate and lactate emerged as important candidate biomarkers for MVD.
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Affiliation(s)
- Limiao Jiang
- Department of Epidemiology and Biostatistics, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, China.
| | - Jing Wang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
| | - Rui Li
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
| | - Ze-Min Fang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
| | - Xue-Hai Zhu
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Wuhan, China
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Xin Yi
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
- Cardiovascular Research Institute, Wuhan University, Wuhan, 430060, China
- Hubei Key Laboratory of Cardiology, Wuhan, 430060, China
| | - Hongwen Lan
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
| | - Xiang Wei
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China
- NHC Key Laboratory of Organ Transplantation, Wuhan, China
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China
| | - Ding-Sheng Jiang
- Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China.
- Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China.
- NHC Key Laboratory of Organ Transplantation, Wuhan, China.
- Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China.
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