1
|
Mansell DS, Bruno VD, Sammut E, Chiribiri A, Johnson T, Khaliulin I, Lopez DB, Gill HS, Fraser KH, Murphy M, Krieg T, Suleiman MS, George S, Ascione R, Cookson AN. Acute regional changes in myocardial strain may predict ventricular remodelling after myocardial infarction in a large animal model. Sci Rep 2021; 11:18322. [PMID: 34526592 PMCID: PMC8443552 DOI: 10.1038/s41598-021-97834-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/23/2021] [Indexed: 11/16/2022] Open
Abstract
To identify predictors of left ventricular remodelling (LVR) post-myocardial infarction (MI) and related molecular signatures, a porcine model of closed-chest balloon MI was used along with serial cardiac magnetic resonance imaging (CMRI) up to 5-6 weeks post-MI. Changes in myocardial strain and strain rates were derived from CMRI data. Tissue proteomics was compared between infarcted and non-infarcted territories. Peak values of left ventricular (LV) apical circumferential strain (ACS) changed over time together with peak global circumferential strain (GCS) while peak GLS epicardial strains or strain rates did not change over time. Early LVR post-MI enhanced abundance of 39 proteins in infarcted LV territories, 21 of which correlated with LV equatorial circumferential strain rate. The strongest associations were observed for D-3-phosphoglycerate dehydrogenase (D-3PGDH), cysteine and glycine-rich protein-2, and secreted frizzled-related protein 1 (sFRP1). This study shows that early changes in regional peak ACS persist at 5-6 weeks post-MI, when early LVR is observed along with increased tissue levels of D-3PGDH and sFRP1. More studies are needed to ascertain if the observed increase in tissue levels of D-3PGDH and sFRP1 might be casually involved in the pathogenesis of adverse LV remodelling.
Collapse
Affiliation(s)
- D S Mansell
- Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK
| | - V D Bruno
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - E Sammut
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - A Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, Westminster Bridge Road, London, SE1 7EH, UK
| | - T Johnson
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - I Khaliulin
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - D Baz Lopez
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - H S Gill
- Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK
| | - K H Fraser
- Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK
| | - M Murphy
- MRC Mitochondrial Biology Unit, The Keith Peters Building, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0XY, UK
| | - T Krieg
- Department of Medicine, University of Cambridge, Addenbrookes Hospital, Hills Rd, Box 157, Cambridge, CB2 0QQ, UK
| | - M S Suleiman
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - S George
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK
| | - R Ascione
- Department of Translational Science, Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, Bristol Royal Infirmary, Level 7, University of Bristol, Bristol, BS2 8HW, UK.
| | - A N Cookson
- Department of Mechanical Engineering, University of Bath, Bath, BA2 7AY, UK
| |
Collapse
|
2
|
Bauer A, Hammerton G, Fraser A, Fairchild G, Halligan SL. Associations between developmental timing of child abuse and conduct problem trajectories in a UK birth cohort. BMC Psychiatry 2021; 21:89. [PMID: 33722209 PMCID: PMC7962332 DOI: 10.1186/s12888-021-03083-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/31/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although there is strong evidence for a relationship between child abuse and neglect and conduct problems, associations between child abuse experienced at different developmental stages and developmental trajectories of conduct problems have not been examined. We sought to investigate effects of timing of child abuse on conduct problem trajectories in a large UK birth cohort study. METHODS We applied latent class growth analysis to identify conduct problem trajectories in the Avon Longitudinal Study of Parents and Children, using parent-rated conduct problems from ages 4-17 years (N = 10,648). Childhood-only and adolescence-only abuse, in addition to abuse in both developmental periods ('persistent' abuse), were assessed by retrospective self-report at age 22 years (N = 3172). RESULTS We identified four developmental trajectories: early-onset persistent (4.8%), adolescence-onset (4.5%), childhood-limited (15.4%), and low (75.3%) conduct problems. Childhood-only abuse and 'persistent' abuse were associated with increased odds of being on the early-onset persistent and adolescence-onset conduct problem trajectories compared to the low conduct problems trajectory. Adolescence-only abuse was not predictive of trajectory membership. There were no associations between abuse and childhood-limited trajectory membership. CONCLUSIONS Early-onset persistent and adolescence-onset conduct problems showed similar patterns of association with abuse exposure, challenging developmental theories that propose qualitative, as opposed to quantitative, differences in environmental risk factors between these trajectories. The results also highlight that childhood-only and 'persistent' abuse were more strongly linked to elevated conduct problem trajectories than adolescence-only abuse, and that 'persistent' abuse is particularly detrimental.
Collapse
Affiliation(s)
- Andreas Bauer
- Department of Psychology, 10 West, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
| | - Gemma Hammerton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Abigail Fraser
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Graeme Fairchild
- Department of Psychology, 10 West, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Sarah L Halligan
- Department of Psychology, 10 West, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| |
Collapse
|
3
|
Mansell DS, Frank EG, Kelly NS, Agostinho-Hernandez B, Fletcher J, Bruno VD, Sammut E, Chiribiri A, Johnson T, Ascione R, Bartlett JW, Gill HS, Fraser KH, Cookson AN. Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging. PLoS One 2020; 15:e0242908. [PMID: 33320865 PMCID: PMC7737975 DOI: 10.1371/journal.pone.0242908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/12/2020] [Indexed: 01/02/2023] Open
Abstract
PURPOSE Volume indices and left ventricular ejection fraction (LVEF) are routinely used to assess cardiac function. Ventricular strain values may provide additional diagnostic information, but their reproducibility is unclear. This study therefore compares the repeatability and reproducibility of volumes, volume fraction, and regional ventricular strains, derived from cardiovascular magnetic resonance (CMR) imaging, across three software packages and between readers. METHODS Seven readers analysed 16 short-axis CMR stacks of a porcine heart. Endocardial contours were manually drawn using OsiriX and Simpleware ScanIP and repeated in both softwares. The images were also contoured automatically in Circle CVI42. Endocardial global, apical, mid-ventricular, and basal circumferential strains, as well as end-diastolic and end-systolic volume and LVEF were compared. RESULTS Bland-Altman analysis found systematic biases in contour length between software packages. Compared to OsiriX, contour lengths were shorter in both ScanIP (-1.9 cm) and CVI42 (-0.6 cm), causing statistically significant differences in end-diastolic and end-systolic volumes, and apical circumferential strain (all p<0.006). No differences were found for mid-ventricular, basal or global strains, or left ventricular ejection fraction (all p<0.007). All CVI42 results lay within the ranges of the OsiriX results. Intra-software differences were found to be lower than inter-software differences. CONCLUSION OsiriX and CVI42 gave consistent results for all strain and volume metrics, with no statistical differences found between OsiriX and ScanIP for mid-ventricular, global or basal strains, or left ventricular ejection fraction. However, volumes were influenced by the choice of contouring software, suggesting care should be taken when comparing volumes across different software.
Collapse
Affiliation(s)
- Doyin S. Mansell
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| | - Evelyn G. Frank
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| | - Nathaniel S. Kelly
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| | | | - James Fletcher
- Department for Health, University of Bath, Bath, United Kingdom
| | - Vito D. Bruno
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Eva Sammut
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Thomas Johnson
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | - Raimondo Ascione
- Bristol Heart Institute and Translational Biomedical Research Centre, Faculty of Health Science, University of Bristol, Bristol, United Kingdom
| | | | - Harinderjit S. Gill
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| | - Katharine H. Fraser
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| | - Andrew N. Cookson
- Department of Mechanical Engineering, University of Bath, Bath, United Kingdom
| |
Collapse
|