Determining the genetic contribution in patients with non-syndromic ascending thoracic aortic aneurysms: Correlation with findings from computational pathology. (1st November 2022)
- Record Type:
- Journal Article
- Title:
- Determining the genetic contribution in patients with non-syndromic ascending thoracic aortic aneurysms: Correlation with findings from computational pathology. (1st November 2022)
- Main Title:
- Determining the genetic contribution in patients with non-syndromic ascending thoracic aortic aneurysms: Correlation with findings from computational pathology
- Authors:
- Salmasi, M. Yousuf
Morris-Rosendahl, Deborah
Jarral, Omar A.
Rosendahl, Ulrich
Asimakopoulos, George
Raja, Shahzad
Aragon-Martin, Jose Antonio
Child, Anne
Pepper, John
Oo, Aung
Athanasiou, Thanos - Abstract:
- Abstract: Objectives: This study aims to identify the clinical utility of targeted-genetic sequencing in a cohort of patients with TAA and establish a new method for regional histological characterisation of TAA disease. Methods: Fifty-four patients undergoing surgery for proximal TAA were recruited. Exclusions: connective tissue disease, bicuspid aortic valves, redo surgery. All patients underwent next generation sequencing (NGS) using a custom gene panel containing 63 genes previously associated with TAA on Illumina MiSeqor NextSeq550 platforms. Explanted TAA tissue was obtained en-bloc from 34/54 patients, and complete circumferential strips of TAA tissue processed into whole slides which were subsequently digitalised. Computational pathology methods were employed to quantify elastin, cellularity and collagen in six equally divided regions across the whole aneurysm circumference. Results: Of 54 patients, clearly pathogenic or potentially pathogenic variants were found in 7.4%: namely LOX, PRKG1, TGFBR1 and SMAD3 genes. 55% had at least one variant of unknown significance (VUS) and seven of the VUSs were in genes with a strong disease association (category A) genes, whilst 15 were from moderate risk (category B) genes. Elastin and collagen abundance displayed high regional variation throughout the aneurysm circumference. In patients with <60% total elastin, the loss of elastin was more significant on the outer curve (38.0% vs 47.4%, p = 0.0094). The presence of VUS,Abstract: Objectives: This study aims to identify the clinical utility of targeted-genetic sequencing in a cohort of patients with TAA and establish a new method for regional histological characterisation of TAA disease. Methods: Fifty-four patients undergoing surgery for proximal TAA were recruited. Exclusions: connective tissue disease, bicuspid aortic valves, redo surgery. All patients underwent next generation sequencing (NGS) using a custom gene panel containing 63 genes previously associated with TAA on Illumina MiSeqor NextSeq550 platforms. Explanted TAA tissue was obtained en-bloc from 34/54 patients, and complete circumferential strips of TAA tissue processed into whole slides which were subsequently digitalised. Computational pathology methods were employed to quantify elastin, cellularity and collagen in six equally divided regions across the whole aneurysm circumference. Results: Of 54 patients, clearly pathogenic or potentially pathogenic variants were found in 7.4%: namely LOX, PRKG1, TGFBR1 and SMAD3 genes. 55% had at least one variant of unknown significance (VUS) and seven of the VUSs were in genes with a strong disease association (category A) genes, whilst 15 were from moderate risk (category B) genes. Elastin and collagen abundance displayed high regional variation throughout the aneurysm circumference. In patients with <60% total elastin, the loss of elastin was more significant on the outer curve (38.0% vs 47.4%, p = 0.0094). The presence of VUS, higher pulse wave velocity and advancing age were predictors of elastin loss (regression analysis: p < 0.05). Conclusions: These findings demonstrate the heterogeneity of TAA disease microstructure and the potential link between histological appearance and clinical factors, including genetic variation. Graphical abstract: Unlabelled Image Highlights: Genetic profiling and computational pathology of proximal aortic aneurysms ( n = 54). incidence of clearly pathogenic or potentially pathogenic variants was 7.4%. Elastin/collagen abundance varied significantly throughout aneurysm circumference. Pulse wave velocity and age were predictors of elastin loss. Genetic profiling may play a role in sporadic aortopathy. Proximal aneurysms display heterogenous microstructural pathology. … (more)
- Is Part Of:
- International journal of cardiology. Volume 366(2022)
- Journal:
- International journal of cardiology
- Issue:
- Volume 366(2022)
- Issue Display:
- Volume 366, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 366
- Issue:
- 2022
- Issue Sort Value:
- 2022-0366-2022-0000
- Page Start:
- 1
- Page End:
- 9
- Publication Date:
- 2022-11-01
- Subjects:
- Thoracic aortic aneurysms -- Non-syndromic -- Targeted genetic sequencing -- Computational pathology
TAA thoracic aortic aneurysm -- NGS next generation sequencing -- TAAD type-A aortic dissection -- SMC smooth muscle cell
Cardiology -- Periodicals
Electronic journals
616.12 - Journal URLs:
- http://www.clinicalkey.com/dura/browse/journalIssue/01675273 ↗
http://www.sciencedirect.com/science/journal/01675273 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijcard.2022.07.010 ↗
- Languages:
- English
- ISSNs:
- 0167-5273
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.158000
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- 23297.xml