| Literature DB >> 35887055 |
Susanna T E Cooper1, Joseph D Westaby1,2, Zoe H R Haines1, Giles O Malone1, Mary N Sheppard1,2, Daniel N Meijles1.
Abstract
Hypertension is a major public health concern and poses a significant risk for sudden cardiac death (SCD). However, the characterisation of human tissues tends to be macroscopic, with little appreciation for the quantification of the pathological remodelling responsible for the advancement of the disease. While the components of hypertensive remodelling are well established, the timeline and comparative quantification of pathological changes in hypertension have not been shown before. Here, we sought to identify the phasing of cardiac remodelling with hypertension using post-mortem tissue from SCD patients with early and advanced hypertensive heart disease (HHD). In order to study and quantify the progression of phenotypic changes, human specimens were contrasted to a well-described angiotensin-II-mediated hypertensive mouse model. While cardiomyocyte hypertrophy is an early adaptive response in the mouse that stabilises in established hypertension and declines as the disease progresses, this finding did not translate to the human setting. In contrast, optimising fibrosis quantification methods and applying them to each setting identified perivascular fibrosis as the prevailing possible cause for overall disease progression. Indeed, assessing myocardial inflammation highlights CD45+ inflammatory cell infiltration that precedes fibrosis and is an early-phase event in response to elevated arterial pressures that may underscore perivascular remodelling. Along with aetiology insight, we highlight cross-species comparison for quantification of cardiac remodelling in human hypertension. As such, this platform could assist with the development of therapies specific to the disease phase rather than targeting global components of hypertension, such as blood pressure lowering.Entities:
Keywords: cardiac remodeling; hypertension; quantification
Mesh:
Substances:
Year: 2022 PMID: 35887055 PMCID: PMC9323458 DOI: 10.3390/ijms23147709
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Cardiomyocyte hypertrophy is an acute phase in hypertension. (A) Schematic of hypertensive murine model. C57Bl/6J wild-type mice treated with either vehicle (Acidified PBS; n = 10) or Angiotensin II (AngII; 0.8 mg/kg/day) for 1 d, 7 d or 14 d (n = 4–5/group). (B) Representative images of murine heart sections stained with haematoxylin and eosin (H&E). Line represents 25 µm. (C) Quantification of murine cardiomyocyte cross-sectional area. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (D) Mouse cardiac RNA was isolated and mRNA expression of hypertrophy-associated genes determined by quantitative polymerase chain reaction. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (E) Schematic indicating regions of the human heart from which sections were taken for analysis. (F) Representative images of human left ventricular anterior wall stained with H&E. Line represents 50 µm. (G) Quantification of cross-sectional area of cardiomyocytes (control, n = 10; hypertension, n = 9; hypertensive heart disease, n = 10) across the whole human heart. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. RV—right ventricle; IVS—interventricular septum; LV—left ventricle; AW—anterior wall; PW—posterior wall.
Figure 2Perivascular fibrosis predominates in human and murine hypertensive heart disease. (A) C57Bl/6J wild-type mice treated with Angiotensin II (AngII; 0.8 mg/kg/day) for up to 14 days. Representative images of heart sections stained with picrosirius red (PSR). Line represents 100 µm. (B) Quantification of perivascular fibrosis as a percentage of total tissue area in the murine left ventricle. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (C) Ventricular RNA was isolated and mRNA expression of fibrillar pathological collagens determined by quantitative polymerase chain reaction. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (D) Representative images of human left ventricular anterior wall stained with PSR for interstitial fibrosis (top) and perivascular fibrosis (bottom). Line represents 250 µm. (E) Quantification of perivascular fibrosis as a percentage of total tissue area across the whole human heart. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. RV—right ventricle; IVS—interventricular septum; LV—left ventricle; AW—anterior wall; PW—posterior wall.
Figure 3Cardiomyocyte size and perivascular fibrosis correlation with disease progression. (A) C57Bl/6J wild-type mice treated with Angiotensin II (AngII; 0.8 mg/kg/d) for up to 14 d. Correlation of cardiomyocyte cross-sectional area with perivascular fibrosis (as a percentage of total area). (B) Human post-mortem cardiac tissue with hypertension and hypertensive heart disease. Correlation of cardiomyocyte cross-sectional area with perivascular fibrosis (as a percentage of total area). Stats: Pearson correlation, with 2-tailed test reporting p-values.
Figure 4Inflammation initiates hypertensive cardiac remodelling. C57Bl/6J wild-type mice treated with Angiotensin II (AngII; 0.8 mg/kg/day) for up to 14 day. Cardiac RNA was isolated, and mRNA expression of pro-inflammatory cytokines (A) and general inflammatory cell markers (B) were determined by quantitative polymerase chain reaction. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (C) Representative images of murine left ventricle immunostained for CD45. Line represents 50 µm. Inset: IgG-negative controls. (D) Quantification of CD45+ cells in murine left ventricle. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test. (E) Representative images of human left ventricular anterior wall immunostained for CD45. Line represents 100 µm. Inset: IgG-negative controls. (F) Quantification of CD45+ cells in human left ventricular anterior wall. Data are individual points with means ± SD. Stats: 1-way ANOVA with Holm–Sidak post-test.
Figure 5Schematic of cardiac remodelling involved in hypertensive heart disease progression. Hypertension causes cardiac remodelling with hypertensive heart disease marked by global cardiac hypertrophy and notable fibrosis. Our data indicate that remodelling is primed by increased pro-inflammatory signalling and inflammatory cell infiltration. Subsequently, inflammation encourages further hypertrophy of the cardiomyocytes contributing to the early remodelling phase. Over time, this promotes the progression of hypertensive heart disease towards failure resulting from increasing perivascular fibrosis.
Human patient demographics and clinical data.
| Human Cohort | Sex (M:F) | Age at Death (Mean, S.D) | On B.P Medication | Identified Medications |
|---|---|---|---|---|
| Control | 1:1.5 | 55.1 ± 20.8 | N/A * | N/A * |
| Clinical | 1:1.3 | 50.3 ± 12.5 | 44% | ACE inhibitors (Ramipril, Perindopril), beta-blocker (Bisoprolol) and calcium channel blockers (Felodipine, Amlodipine) |
| Hypertensive heart disease | 1:1.5 | 55.0 ± 20.0 | 80% | ACE inhibitors (Ramipril, Perindopril, Lisinopril), beta-blocker (Bisoprolol), calcium channel blocker (Amlodipine) and diuretics (Bumetanide, Furosemide) |
* Not applicable given control samples were normotensive.
Mouse primer sequences.
| Gene | Forward (Sense Primer) | Reverse (Antisense Primer) |
|---|---|---|
|
| TCACCACCATGGAGAAGGC | GCTAAGCAGTTGGTGGTGCA |
|
| GATGGATTTCAAGAACCTGCTAGA | CTTCCTCAGTCTGCTCACTCA |
|
| TCCAGCAGAGACCTCAAAATTC | CAGTGCGTTACAGCCCAAA |
|
| GAGATCGAGGACCTGATGG | TCATACTTCTGCTTCCACTCA |
|
| TCGTGGCTTCTCTGGTCTC | CCGTTGAGTCCGTCTTTGC |
|
| GGAACCTGGTTTCTTCTCACC | TAGGACTGACCAAGGTGGCT |
|
| ATGGTCCTCTGAATAAAGCCCA | TCAGCACTATTGGTAGGCTCC |
|
| GGCGCTCCGAGTTGTGACT | TACCTGCTTCAGCCCAGTGA |
|
| AAGGGCTGCTTCCAAACCTTTGAC | ATACTGCCTGCCTGAAGCTCTTGT |
|
| ATCCAGTTGCCTTCTTGGGACTGA | TAAGCCTCCGACTTGTGAAGTGGT |
|
| AATTCCCAGCTGACGGAGATCACA | TCTACTCGAAGCCTTGTCAGCACA |
|
| TCTCATGCACCACCATCAAGGACT | ACCACTCTCCCTTTGCAGAACTCA |