1
|
Li M, Parker BL, Pearson E, Hunter B, Cao J, Koay YC, Guneratne O, James DE, Yang J, Lal S, O'Sullivan JF. Core functional nodes and sex-specific pathways in human ischaemic and dilated cardiomyopathy. Nat Commun 2020; 11:2843. [PMID: 32487995 PMCID: PMC7266817 DOI: 10.1038/s41467-020-16584-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 05/06/2020] [Indexed: 12/11/2022] Open
Abstract
Poor access to human left ventricular myocardium is a significant limitation in the study of heart failure (HF). Here, we utilise a carefully procured large human heart biobank of cryopreserved left ventricular myocardium to obtain direct molecular insights into ischaemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM), the most common causes of HF worldwide. We perform unbiased, deep proteomic and metabolomic analyses of 51 left ventricular (LV) samples from 44 cryopreserved human ICM and DCM hearts, compared to age-, gender-, and BMI-matched, histopathologically normal, donor controls. We report a dramatic reduction in serum amyloid A1 protein in ICM hearts, perturbed thyroid hormone signalling pathways and significant reductions in oxidoreductase co-factor riboflavin-5-monophosphate and glycolytic intermediate fructose-6-phosphate in both; unveil gender-specific changes in HF, including nitric oxide-related arginine metabolism, mitochondrial substrates, and X chromosome-linked protein and metabolite changes; and provide an interactive online application as a publicly-available resource.
Collapse
Affiliation(s)
- Mengbo Li
- School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Benjamin L Parker
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.,Department of Physiology, School of Biomedical Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Evangeline Pearson
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Benjamin Hunter
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Discipline of Anatomy and Histology, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Jacob Cao
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Discipline of Anatomy and Histology, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Yen Chin Koay
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.,Heart Research Institute, The University of Sydney, Sydney, NSW, Australia
| | - Oneka Guneratne
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia.,Discipline of Anatomy and Histology, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - David E James
- Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, Faculty of Medicine, The University of Sydney, Sydney, NSW, Australia
| | - Jean Yang
- School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Sean Lal
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia. .,Discipline of Anatomy and Histology, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia. .,Central Clinical School, Sydney Medical School, Faculty of Medicine, The University of Sydney, Sydney, NSW, Australia. .,Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
| | - John F O'Sullivan
- Precision Cardiovascular Laboratory, The University of Sydney, Sydney, NSW, Australia. .,Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, Australia. .,Heart Research Institute, The University of Sydney, Sydney, NSW, Australia. .,Central Clinical School, Sydney Medical School, Faculty of Medicine, The University of Sydney, Sydney, NSW, Australia. .,Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
| |
Collapse
|
2
|
Beuchel C, Becker S, Dittrich J, Kirsten H, Toenjes A, Stumvoll M, Loeffler M, Thiele H, Beutner F, Thiery J, Ceglarek U, Scholz M. Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts. Mol Metab 2019; 29:76-85. [PMID: 31668394 PMCID: PMC6734104 DOI: 10.1016/j.molmet.2019.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/13/2019] [Accepted: 08/13/2019] [Indexed: 12/31/2022] Open
Abstract
Objective Human blood metabolites are influenced by a number of lifestyle and environmental factors. Identification of these factors and the proper quantification of their relevance provides insights into human biological and metabolic disease processes, is key for standardized translation of metabolite biomarkers into clinical applications, and is a prerequisite for comparability of data between studies. However, so far only limited data exist from large and well-phenotyped human cohorts and current methods for analysis do not fully account for the characteristics of these data. The primary aim of this study was to identify, quantify and compare the impact of a comprehensive set of clinical and lifestyle related factors on metabolite levels in three large human cohorts. To achieve this goal, we improve current methodology by developing a principled analysis approach, which could be translated to other cohorts and metabolite panels. Methods 63 Metabolites (amino acids, acylcarnitines) were quantified by liquid chromatography tandem mass spectrometry in three cohorts (total N = 16,222). Supported by a simulation study evaluating various analytical approaches, we developed an analysis pipeline including preprocessing, identification, and quantification of factors affecting metabolite levels. We comprehensively identified uni- and multivariable metabolite associations considering 29 environmental and clinical factors and performed metabolic pathway enrichment and network analyses. Results Inverse normal transformation of batch corrected and outlier removed metabolite levels accompanied by linear regression analysis proved to be the best suited method to deal with the metabolite data. Association analyses revealed numerous uni- and multivariable significant associations. 15 of the analyzed 29 factors explained >1% of variance for at least one of the metabolites. Strongest factors are application of steroid hormones, reticulocytes, waist-to-hip ratio, sex, haematocrit, and age. Effect sizes of factors are comparable across studies. Conclusions We introduced a principled approach for the analysis of MS data allowing identification, and quantification of effects of clinical and lifestyle factors with metabolite levels. We detected a number of known and novel associations broadening our understanding of the regulation of the human metabolome. The large heterogeneity observed between cohorts could almost completely be explained by differences in the distribution of influencing factors emphasizing the necessity of a proper confounder analysis when interpreting metabolite associations. Amino-acids and acylcarnitines analyzed in three studies with >16,000 individuals. Develop a generic and adaptable bioinformatics workflow. Analysis of the impact of 29 clinical and life-style factors on blood metabolites. Analysis of network between factors and metabolites. Comparison of results between studies.
Collapse
Affiliation(s)
- Carl Beuchel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
| | - Susen Becker
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany; Department of Pediatric Surgery, University of Leipzig, Leipzig, Germany
| | - Julia Dittrich
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany
| | - Holger Kirsten
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany
| | - Anke Toenjes
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University Hospital Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University Hospital Leipzig, Leipzig, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany
| | | | | | - Joachim Thiery
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany
| | - Uta Ceglarek
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Leipzig, Germany; IFB Adiposity Diseases, University Hospital Leipzig, Leipzig, Germany.
| |
Collapse
|
3
|
McIntosh VJ, Chandrasekera PC, Lasley RD. Sex differences and the effects of ovariectomy on the β-adrenergic contractile response. Am J Physiol Heart Circ Physiol 2011; 301:H1127-34. [PMID: 21685268 DOI: 10.1152/ajpheart.00711.2010] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The presence of sex differences in myocardial β-adrenergic responsiveness is controversial, and limited studies have addressed the mechanism underlying these differences. Studies were performed using isolated perfused hearts from male, intact female and ovariectomized female mice to investigate sex differences and the effects of ovarian hormone withdrawal on β-adrenergic receptor function. Female hearts exhibited blunted contractile responses to the β-adrenergic receptor agonist isoproterenol (ISO) compared with males but not ovariectomized females. There were no sex differences in β(1)-adrenergic receptor gene or protein expression. To investigate the role of adenylyl cyclase, phosphodiesterase, and the cAMP-signaling cascade in generating sex differences in the β-adrenergic contractile response, dose-response studies were performed in isolated perfused male and female hearts using forskolin, 3-isobutyl-1-methylxanthine (IBMX), and 8-(4-chlorophenylthio)adenosine 3',5'-cyclic monophosphate (CPT-cAMP). Males showed a modestly enhanced contractile response to forskolin at 300 nM and 5 μM compared with females, but there were no sex differences in the response to IBMX or CPT-cAMP. The role of the A(1) adenosine receptor (A(1)AR) in antagonizing the β-adrenergic contractile response was investigated using both the A(1)AR agonist 2-chloro-N(6)-cyclopentyl-adenosine and A(1)AR knockout (KO) mice. Intact females showed an enhanced A(1)AR anti-adrenergic effect compared with males and ovariectomized females. The β-adrenergic contractile response was potentiated in both male and female A(1)ARKO hearts, with sex differences no longer present above 1 nM ISO. The β-adrenergic contractile response is greater in male hearts than females, and minor differences in the action of adenylyl cyclase or the A(1)AR may contribute to these sex differences.
Collapse
Affiliation(s)
- Victoria J McIntosh
- Department of Physiology and the Cardiovascular Research Institute, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | | |
Collapse
|