Research ArticleInflammationVascular biology Free access | 10.1172/jci.insight.122558
1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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1Division of Clinical Pharmacology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA.
2Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
3Department of Biomedical Engineering, Vanderbilt University (VU), Nashville, Tennessee, USA.
4Division of Cardiovascular Medicine,
5Division of Genetic Medicine, and
6Divison of Thoracic Surgery, VUMC, Nashville, Tennessee, USA.
7Department of Molecular Physiology and Biophysics, VU, Nashville, Tennessee, USA.
8Department of Biostatistics,
9Vanderbilt Center for Bone Biology, and
10Division of Vascular Surgery, VUMC, Nashville, Tennessee, USA.
11Vanderbilt Institute for Infection, Immunology and Inflammation, Nashville, Tennessee, USA.
12Department of Pharmacology and Toxicology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
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Published October 18, 2018 - More info
Aortic dissection (AD) is a life-threatening vascular disease with limited treatment strategies. Here, we show that loss of the GWAS-identified SH2B3 gene, encoding lymphocyte adaptor protein LNK, markedly increases susceptibility to acute AD and rupture in response to angiotensin (Ang) II infusion. As early as day 3 following Ang II infusion, prior to the development of AD, Lnk–/– aortas display altered mechanical properties, increased elastin breaks, collagen thinning, enhanced neutrophil accumulation, and increased MMP-9 activity compared with WT mice. Adoptive transfer of Lnk–/– leukocytes into Rag1–/– mice induces AD and rupture in response to Ang II, demonstrating that LNK deficiency in hematopoietic cells plays a key role in this disease. Interestingly, treatment with doxycycline prevents the early accumulation of aortic neutrophils and significantly reduces the incidence of AD and rupture. PrediXcan analysis in a biobank of more than 23,000 individuals reveals that decreased expression of SH2B3 is significantly associated with increased frequency of AD-related phenotypes (odds ratio 0.81). Thus, we identified a role for LNK in the pathology of AD in experimental animals and humans and describe a new model that can be used to inform both inherited and acquired forms of this disease.
Aortic dissection (AD) is an acute and often lethal disease characterized by disruption in the medial layer of the aortic wall resulting in formation of a false lumen and/or intramural hematoma. Subsequent compression of the true lumen may result in compromised end-organ perfusion, and loss of structural wall integrity can result in fatal aortic rupture. AD should be differentiated from aortic aneurysm, which is defined as a focal dilation of the vessel wall to more than 50% of the normal diameter (1). Optimal treatment strategies for AD are limited, likely due to poor insight into its pathogenesis and the paucity of suitable animal models to investigate early stages of disease and response to therapy.
Major risk factors for AD include inherited connective tissue diseases, male gender, hypertension, and autoimmune vascular diseases (1, 2). Importantly, growing evidence suggests that inflammation contributes to the development of AD. Inflammatory cells have been found in dissected aortic walls of humans and experimental animals. It has been hypothesized that these cells secrete MMPs and release reactive oxygen species that could induce medial degradation and predispose to dissection (3). Furthermore, inflammatory biomarkers are often elevated in the blood of patients with AD and correlate with disease activity (3). However, major unresolved questions include which immune cells and pathways are the key players and whether these cells are a cause or consequence of AD.
Multiple GWAS in humans reveal that a missense SNP in the SH2B3 gene, encoding the lymphocyte adaptor protein LNK, is associated with several autoimmune and cardiovascular disorders, including lupus and hypertension (4). LNK is expressed in all hematopoietic cells and endothelial cells and functions as a negative regulator of cytokine signaling and cell proliferation. We previously showed that LNK deficiency promotes hypertension and vascular inflammation (5).
Here, we report the finding that Lnk–/– mice are predisposed to the development of acute AD and rupture, independent of BP. As early as 3 days following angiotensin (Ang) II infusion (prior to the development of AD), Lnk–/– aortas exhibit altered mechanical properties, primarily in the suprarenal abdominal aorta (SAA), corresponding with adverse extracellular matrix remodeling, increased neutrophils, and enhanced MMP-9 activity. Furthermore, we found that neutrophils from Lnk–/– mice exhibit enhanced migration and increased MMP-9 production when stimulated ex vivo. Inhibition of MMPs and aortic neutrophil accumulation with doxycycline significantly reduced the incidence of AD in Lnk–/– mice. Interestingly, PrediXcan analysis in a biobank of more than 23,000 individuals reveals that decreased expression of SH2B3 is significantly associated with increased frequency of AD-related phenotypes. Taken together, our study highlights a key role for LNK in experimental and human AD and provides a potentially unique and novel model to investigate mechanisms of AD.
LNK deficiency increases susceptibility to AD and rupture in Ang II–infused mice. To determine the role of LNK in the development of AD, we infused male Lnk–/– and WT control mice with Ang II (1,200 ng/kg/min) for 14 days. Interestingly, 63% of male Lnk–/– mice developed AD or fatal aortic rupture, primarily in the SAA, compared with 18% of male WT mice (Figure 1, A and B). BP and plasma cholesterol were similar between Ang II–infused Lnk–/– and WT mice (Supplemental Figure 1, A and B; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.122558DS1). Dissected Lnk–/– aortas had a compressed true lumen as well as either an intramural hematoma or a large false lumen with thrombosed blood (Figure 1C). The primary immune cells at the site of dissection were neutrophils and macrophages (Figure 1D) with few T and B cells (Supplemental Figure 1C). Interestingly, histopathological examination of the abdominal aortas from mice that survived 14 days of Ang II infusion revealed differences in aortic remodeling between WT and Lnk–/– mice. WT abdominal aortas exhibited intense adventitial fibrosis and preservation of elastic fiber integrity, whereas Lnk–/– abdominal aortas displayed less fibrosis and signs of elastin disruption (Figure 1E). To track changes in luminal diameter and inflammatory cell infiltration in live animals, we performed microCT scanning using gold nanoparticles that target uptake by phagocytic cells. Luminal diameter showed no significant change during the course of Ang II infusion in a representative Lnk–/– mouse. Phagocytic inflammatory cells appeared as early as day 3 and were localized to the celiac and superior mesenteric artery branches (Supplemental Figure 1D). Consistent with male predominance of AD seen in humans (2), female Lnk–/– and WT mice were largely protected from AD, despite similar BPs, with only 7% of Lnk–/– females and no WT females developing the disease (Figure 1F and Supplemental Figure 2). Thus, LNK deficiency increases susceptibility to AD and rupture in a manner that phenocopies the human disease, including the feature of male predominance. Due to this gender difference, the remainder of the studies described here were conducted in male mice.
LNK deficiency predisposes to aortic dissection (AD) and rupture in angiotensin (Ang) II–infused mice. (A) Kaplan-Meier survival curves of male WT and Lnk–/– mice during 14 days of Ang II infusion (n = 22–32). (B) Representative gross images of Ang II–infused WT and Lnk–/– aortas showing rupture and hematoma in the abdominal aorta. (C) Representative transverse section of dissected abdominal aorta from Ang II–infused Lnk–/– mice stained with hematoxylin and eosin (H&E). TL, true lumen; H, hematoma. (D) Representative immunohistochemical staining for neutrophils (Ly-6G/-6C) and macrophages (F4/80) in the dissected abdominal aorta of Ang II–infused Lnk–/– mice. Scale bars: 100 μm (C and D). (E) Representative transverse sections of abdominal aorta from Ang II–infused WT and Lnk–/– mice stained with H&E, Masson’s trichrome blue, and Elastica van Gieson. Arrows depict site of elastin degradation. Scale bars: 100 μm. (F) Kaplan-Meier survival curves of female WT and Lnk–/– mice during 14 days of Ang II infusion (n = 7–15). **P < 0.01 by Mantel-Cox test.
LNK deficiency promotes early changes in mechanical and structural properties of the SAA. To determine if early differences in the mechanical properties of Lnk–/– aortas could predispose to AD, we performed biaxial mechanical tests on aortas from WT and Lnk–/– mice infused with vehicle (sham) or Ang II for 3 days. Mice that developed AD at the time of or prior to euthanasia were excluded from this analysis. When compared at group-specific BPs and in vivo axial stretches, there were no baseline differences in mechanical properties of the ascending thoracic aorta, descending thoracic aorta, SAA, or infrarenal abdominal aorta from WT and Lnk–/– mice. However, after 3 days of Ang II infusion, the greatest differences in mechanical properties between Lnk–/– and WT mice were found in the SAA (Figure 2, A–D, and Supplemental Tables 1–4). Ang II infusion resulted in a significant increase in outer diameter and stored energy of the SAA in WT mice, but these changes were attenuated in Lnk–/– mice (Figure 2, A and B). In the absence of any change in wall thickness between the groups (Supplemental Table 3), these data suggest decreased distensibility of the SAA in Lnk–/– mice. Ang II increased circumferential stress and stiffness in both groups of mice, though to a lesser extent in Lnk–/– compared with WT mice (Figure 2, C and D), despite similar BPs. Importantly, we also observed several instances of mechanical failure (i.e., intramural delamination) in the SAA from Lnk–/– Ang II–treated mice during the initial stages of the biaxial mechanical testing protocol at physiological loads compared with only 1 late transverse medial tear in WT Ang II–treated mice (Supplemental Figure 3A).
LNK deficiency promotes early changes in mechanical and structural properties of the suprarenal abdominal aorta. WT and Lnk–/– mice were infused with vehicle (sham) or Ang II for 3 days. (A) Outer diameter, (B) stored energy capacity, (C) circumferential stress, and (D) circumferential stiffness measured in vitro via biaxial tests in the indicated groups at group specific systolic pressures and in vivo axial stretches (n = 5–10). (E) Representative Elastica van Gieson staining of the abdominal aorta. Arrows indicate elastin breaks, which are quantified on the right (n = 6). (F) Representative Masson’s trichrome staining of the abdominal aorta with quantification of fibrosis shown on the right (n = 4–5). (G) Picrosirius red (PSR) staining of abdominal aortic sections visualized under polarized light. Red indicates thick collagen fibers, while orange/yellow/green indicate progressively thinner collagen fibers. Representative images are shown on the left. Quantification of percentage of each color is shown on the right as pie charts (n = 3–6). Data are expressed as box-and-whisker plots (A–F). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 by 2-way ANOVA (A–D, and F) or by 2-sided Student’s t test (E). For panel G, 2-way ANOVA was performed and P values for each color are shown for the indicated comparisons. NS, nonsignificant.
We then sought to determine if these mechanical alterations correlated with microstructural changes. After 3 days of Ang II infusion, there were 2-fold more elastin breaks in the abdominal aorta of Lnk–/– mice compared with WT mice, and the elastic fibers of Lnk–/– mice exhibited a loss of the spring-like elastic lamellae structures (Figure 2E). These changes are consistent with the observed reduction in energy storage capacity of Lnk–/– SAAs. Ang II infusion also increased fibrosis and collagen deposition in the abdominal aortas of WT mice, and these changes were significantly attenuated in Lnk–/– mice (Figure 2F and Supplemental Figure 3B). Picrosirius red staining revealed similar collagen fiber organization and thickness (reflected by similar percentages of red, orange, yellow, and green fibers) in the abdominal aortas of WT and Lnk–/– mice at baseline. Strikingly, after 3 days of Ang II infusion, these fibers appeared less densely packed with fewer thick fibers (red) and more thin fibers (orange, yellow, and green) in Lnk–/– compared with WT mice (Figure 2G). Of note, there was no change in the mRNA expression for the major procollagens, Col1a1 and Col3a1, supporting a role for collagen degradation rather than decreased production in Lnk–/– mice (Supplemental Figure 3C). These results demonstrate that prior to the development of AD, there are early microstructural and mechanical changes in the aortas of Lnk–/– mice that, in the absence of a protective fibrotic adventitia, likely resulted in increased vulnerability to rupture.
LNK deficiency induces early MMP-9 activity in the abdominal aorta prior to the development of AD. MMPs, particularly MMP-2 and MMP-9, have been widely implicated in aortic disease. By quantitative reverse transcription PCR (qRT-PCR) on aortas from Lnk–/– and WT mice infused with Ang II for 3 days, we detected increased expression of MMP-2 and MMP-9 in Lnk–/– mice, with no change in expression of the tissue inhibitors of metalloproteinases TIMP-1 and -2 (Figure 3A). Gelatin zymography revealed a slight increase in aortic MMP-2 activity in both WT and Lnk–/– mice in response to Ang II infusion, which reached significance only in WT mice (Figure 3B). In contrast, the aortas of Lnk–/– mice displayed a striking increase in MMP-9 activity with Ang II infusion that exceeded levels in Ang II–treated WT mice (Figure 3B). These results suggest that in the absence of LNK, increased MMP-9 activity leads to matrix degradation in the abdominal aorta that predisposes to the development of AD.
LNK deficiency induces early MMP-9 activity in the abdominal aorta prior to the development of AD. (A) Aortic mRNA expression of MMP-2, MMP-9, and tissue inhibitor of metalloproteinases 1 and 2 (TIMP-1 and -2) from WT and Lnk–/– mice infused for 3 days with Ang II. mRNA expression was normalized to GAPDH and is represented as fold change relative to WT Ang II group (n = 6–8). (B) Representative gelatin zymograms of MMP-2 and MMP-9 activity in abdominal aortic protein lysates. Quantification (expressed as fold increase relative to WT sham) is shown on the right (n = 4–7). Data are expressed as box-and-whisker plots. *P < 0.05, **P < 0.01 by 1-sided Student’s t test (A) or by 2-way ANOVA (B).
LNK deficiency in hematopoietic cells increases susceptibility to AD. To assess the role of hematopoietic cells in AD, we adoptively transferred CD45+ leukocytes from WT or Lnk–/– mice into Rag1–/– mice, which lack T and B cells. Interestingly, following Ang II infusion, 36% of Rag1–/– mice that received Lnk–/– CD45+ cells died from AD and rupture compared with 0% of Rag1–/– mice that received WT CD45+ cells (Figure 4). Further evidence that immunological alterations in Lnk–/– mice contribute to AD comes from RNA sequencing and KEGG pathway analysis of aortic tissue from WT and Lnk–/– mice following 3 days of Ang II infusion, which revealed differential expression of genes enriched in multiple immune-related pathways such as graft-versus-host disease and hematopoietic cell lineage (Supplemental Figure 4, A and B).
Loss of LNK in hematopoietic cells increases susceptibility to AD. Experimental design for adoptive transfer of CD45+ leukocytes from WT or Lnk–/– mice into Rag–/– mice followed by Ang II infusion. Kaplan-Meier survival curves of the indicated groups during 14 days of Ang II infusion is shown on the right (n = 10–14). *P < 0.05 by Mantel-Cox test.
LNK deficiency promotes early neutrophil recruitment in the aortic wall prior to the development of AD. Flow cytometry performed on aortic single-cell suspensions from Lnk–/– and WT mice after 3 days of vehicle (sham) or Ang II infusion revealed a trend for increased neutrophils in WT mice that did not reach significance. In contrast, Lnk–/– aortas displayed a marked increase in neutrophil accumulation that exceeded levels in Ang II–treated WT mice (Figure 5, A and B, and Supplemental Figure 5). Macrophage accumulation increased similarly with Ang II infusion in both groups (Figure 5B), and no differences were observed in the number of aortic M1-like or M2-like macrophage subsets between Ang II–infused WT and Lnk–/– mice (Supplemental Figure 6). By immunohistochemistry, neutrophils were scant in the abdominal aorta of Ang II–treated WT mice, but were prominent and present in all 3 layers (intima, media, and adventitia) of the aortic wall in Ang II–treated Lnk–/– mice (Figure 5C). The abdominal aortas of WT and Lnk–/– mice treated with Ang II exhibited similar accumulation of macrophages, which occurred primarily in the adventitia (Figure 5C). At this early time point, there was no difference in aortic T or B cells in any of the 4 groups (Supplemental Figure 7, A and B). Thus, early aortic neutrophil recruitment in Lnk–/– mice precedes the development of AD.
LNK deficiency promotes aortic neutrophil migration. (A) Representative flow cytometry dot plots of neutrophils in the aorta of WT and Lnk–/– mice infused with vehicle (sham) or Ang II for 3 days. Cells were gated from CD45+ cells. (B) Flow cytometric quantification of neutrophils (CD45+CD11b+Ly6G+) and macrophages (CD45+CD11b+F4/80+ cells) in the aorta of WT and Lnk–/– mice infused with vehicle (sham) or Ang II for 3 days (n = 5–13). (C) Representative immunohistochemical staining for neutrophils (Ly-6G/-6C) and macrophages (F4/80) in the abdominal aorta of WT and Lnk–/– mice infused with Ang II for 3 days. (D) Quantification of the number of bone marrow neutrophils from WT and Lnk–/– mice at baseline and after 3 days of Ang II infusion that migrated to the bottom chambers of a transwell assay (n = 4–10). (E) Representative gelatin zymogram of MMP-9 activity in the supernatant of cultured neutrophils isolated from the bone marrow of WT and Lnk–/– mice and activated ex vivo. Quantification is expressed as fold increase relative to WT (n = 4–5). Data are expressed as box-and-whisker plots (B and E) or mean ± SEM (D). *P < 0.05, **P < 0.01, ****P < 0.0001 by 2-way ANOVA (B and D) or 1-sided Student’s t test (E).
To determine whether enhanced aortic chemokine expression is involved in the increased neutrophil recruitment in Lnk–/– mice, we first performed qRT-PCR for the neutrophil-attracting chemokines CXCL1 and CXCL2 in WT and Lnk–/– aortas following 3 days of Ang II infusion and observed no difference (Supplemental Figure 8A). We also quantified additional chemokine protein levels using a chemokine array, which revealed no major differences in aortic chemokine expression between WT and Lnk–/– aortas following Ang II infusion (Supplemental Figure 8B).
We then investigated whether LNK-deficient neutrophils display an increased migratory capacity when exposed to CXCL2 in a transwell assay. Neutrophils were isolated from the bone marrow of WT and Lnk–/– mice at baseline and after 3 days of Ang II infusion. The number of migrated neutrophils was the same between WT and Lnk–/– mice at baseline (Figure 5D). Interestingly, neutrophils from Ang II–infused mice exhibited increased migration, and this increase was significantly greater in Lnk–/– mice compared with WT mice (Figure 5D). This enhanced migration was independent of the expression of the chemokine receptors CXCR1 and CXCR2, since qRT-PCR analysis demonstrated similar expression levels of these receptors in bone marrow–derived neutrophils from Ang II–infused WT and Lnk–/– mice (Supplemental Figure 9). Since MMP-9 activity plays a key role in neutrophil tissue migration, we then examined MMP-9 activity from bone marrow–derived neutrophils and found that Lnk–/– neutrophils indeed release more MMP-9 when activated ex vivo (Figure 5E). Lnk–/– mice have increased circulating numbers of most hematopoietic cells, including neutrophils (data not shown). Together, these data suggest that the combination of increased circulating neutrophil numbers, increased migratory capacity, and increased MMP-9 production results in the increased aortic neutrophil recruitment in Lnk–/– mice.
Inhibition of neutrophil infiltration and MMP activity by doxycycline markedly reduced susceptibility to AD and rupture in Lnk–/– mice. The tetracycline antibiotic doxycycline potently inhibits a broad range of MMPs by binding the zinc-containing active site (6) and inhibits neutrophil activity and migration (7, 8). To test the hypothesis that both neutrophils and MMP activity are important in the development of AD, we treated Lnk–/– mice with doxycycline at 100 mg/kg/day, a dose that achieves plasma levels in mice comparable to levels in humans treated with doxycycline (9), prior to and during Ang II infusion (Figure 6A). Following 3 days of Ang II infusion, doxycycline treatment modestly lowered the percentage of circulating neutrophils (Figure 6B) and markedly reduced the accumulation of aortic neutrophils (Figure 6C) in Lnk–/– mice. Strikingly, treatment of Lnk–/– mice with doxycycline significantly reduced the incidence AD or fatal aortic rupture from 63% to 31% (Figure 6D). Immunohistochemistry demonstrated reduced fibrosis and preserved elastin integrity in the abdominal aortas of Lnk–/– mice treated with doxycycline that survived to day 14 of Ang II infusion (Figure 6E).
Doxycycline prevents the early recruitment of neutrophils into the aorta and markedly reduces the development of AD and rupture in Lnk–/– mice. (A) Experimental design for Lnk–/– mice treated or not with doxycycline and infused with Ang II. (B) Flow cytometric quantification of the percentage of circulating neutrophils (CD45+CD11b+Ly6G+ cells), and (C) representative flow cytometry dot plots for aortic neutrophils with quantification shown on the right at day 3 of Ang II infusion (n = 4–5). (D) Kaplan-Meier survival curves during 14 days of Ang II infusion (n = 26–32). Results for the Lnk–/– Ang II group is the sum of all experiments (initially presented in Figure 1) and shown again here for comparison. (E) Representative transverse sections of abdominal aorta stained with H&E, Masson’s trichrome blue, and Elastica van Gieson after 14 days of Ang II infusion. Arrows depict site of elastin degradation. Data are expressed as box-and-whisker plots. *P < 0.05 by 2-sided Student’s t test (B and C) or by Mantel-Cox test (D).
Reduced SH2B3 expression is associated with increased risk of AD-related phenotypes in humans. To determine the relevance of LNK expression to human AD, we used PrediXcan. This is a recently developed method that uses gene expression prediction models built from genome-transcriptome data sets such as the Genotype-Tissue Expression (GTEx) Project to predict gene expression from genotype and then tests the predicted expression levels for association with a phenotype of interest (10, 11). The AD phenotype was defined as containing at least one of the following ICD9 codes: 441, 441.00, 441.01, 441.02, 441.03; and the controls were defined as not having any diseases of the arteries, arterioles, and capillaries (i.e., excluding phecodes 440–449.99; https://phewascatalog.org/phecodes). We found that in 23,249 individuals of European ancestry, a combination of 32 SNPs that predict SH2B3 expression (Supplemental Table 5) was associated with AD-related ICD9 codes (odds ratio [OR] = 0.81, P = 0.0041) (Figure 7). The OR less than 1 implies that reduced SH2B3 expression is associated with higher risk of AD.
PrediXcan reveals association between increased SH2B3 expression and reduced risk of AD phenotypes in humans. Genotype-Tissue Expression (GTEx) was used to identify a model of 32 SNPs that predicted increased SH2B3 expression. This model was applied to Vanderbilt’s BioVU cohort with the AD phenotype cases defined as containing at least one of the ICD9 codes listed on the left. The genetic model predicting increased SH2B3 expression was associated with decreased risk of the AD phenotype with the odds ratio (OR) and P value shown.
AD is a devastating and often fatal condition for which optimal medical therapies are lacking, and surgical interventions pose a high risk. Elucidating early mechanisms of this disease is thus critical to develop effective preventative and therapeutic strategies. In this study, we demonstrate what we believe is a novel role for LNK in the pathology of AD in both experimental animals and humans. Importantly, we show that loss of LNK leads to early structural and inflammatory changes in the aortic wall, prior to the development of dissection, including reduced energy storage potential, elastin fragmentation, collagen degradation, increased neutrophil accumulation, and enhanced MMP-9 activity.
Besides inherited connective tissue diseases and familial aortic syndromes, hypertension and atherosclerosis are major risk factors for AD. Interestingly, the gene SH2B3 that encodes LNK has been shown to be associated with hypertension and coronary artery disease in multiple GWAS (4). Moreover, we and others demonstrated that loss of LNK promotes hypertension and atherosclerosis in experimental animals (5, 12). Thus, it is interesting to speculate that genetic variation in SH2B3 may provide a common link between hypertension, atherosclerosis, and AD. We used PrediXcan to estimate the component of SH2B3 gene expression determined by an individual’s genetic profile and then correlated imputed gene expression with ICD9 codes containing dissection of aorta and/or dissecting aneurysm. In a cohort of more than 23,000 individuals of European descent, we found that increased expression of SH2B3 was associated with a significant reduction in AD-related phenotypes (Figure 7).
Inflammation is increasingly recognized as playing a critical role in the development of AD. For example, plasma levels of inflammatory markers such as C-reactive protein, brain natriuretic peptide, and D-dimer are increased in patients with AD and correlate with a poor prognosis (3). In addition, imaging with 18F-fluoro-deoxy-glucose (FDG) PET/CT, which detects vascular inflammation, showed that a greater uptake of 18F-FDG was associated with increased risk of progression of the disease (13). Furthermore, increased neutrophils, macrophages, and MMP-9 have been detected in aortic tissue or blood of patients with AD (14–17). MMP-9, which degrades elastin and collagens, can be produced by neutrophils, macrophages, or vascular smooth muscle cells (16, 18). Our studies using adoptive transfer of WT or LNK-deficient leukocytes into Rag1–/– mice demonstrate that loss of LNK in immune cells plays a key role in development of AD (Figure 4) and that Lnk–/– neutrophils secrete more MMP-9 when activated ex vivo and exhibit increased migratory capacity in the setting of Ang II infusion (Figure 5, D and E). RNA sequencing and pathway analysis further supports alterations in immune-related pathways in Lnk–/– aortas following Ang II infusion (Supplemental Figure 4). Nevertheless, we cannot rule out a concomitant role of vascular LNK in this disease. To attempt to address the role of vascular LNK, we performed bone marrow transplantation studies in which WT or Lnk–/– hematopoietic cells were transplanted into irradiated WT or Lnk–/– mice. Unfortunately, all groups, including Lnk–/– hematopoietic cells into Lnk–/– mice, resulted in protection from AD (data not shown), suggesting that the irradiation itself altered the aortic matrix and conferred protection from AD. Future studies utilizing cell-specific deletion of LNK will be helpful to determine the precise cell types in which LNK signaling contributes to AD and rupture.
LNK inhibits growth factor and cytokine receptor–mediated signaling in hematopoietic cells and endothelial cells through multiple mechanisms. LNK can directly interact with JAK2 to negatively regulate PI3K/Akt or ERK1/2 MAPK signaling pathways (4). Recently, it has been shown that PI3K is involved in MMP-9 activation and reactive oxygen species production in neutrophils (19). Thus, one mechanism by which loss of LNK may promote structural degradation is through increased PI3K activity and enhanced MMP-9 production by neutrophils.
Most of the current information about immunological changes in human AD is based on analyses of blood and aortic tissue after the dissection has occurred. Thus, an experimental model such as the Lnk–/– mouse provides an opportunity to investigate causal changes that precede dissection. Other models of primarily thoracic AD involve genetic or pharmacological inhibition of matrix/structural proteins or the transforming growth factor β pathway (20). In one such model, Ang II is infused following chronic administration of β-aminopropionitrile monofumarate (BAPN), a lysyl oxidase inhibitor that disrupts collagen and elastin crosslinking. A limitation of this model is that BAPN artificially disrupts aortic structural integrity. Thus, while this model may be useful to investigate mechanisms of AD propagation and rupture, it is insufficient to elucidate mechanisms that might initiate the matrix degradation. The most common animal model of abdominal AD involves Ang II infusion into hyperlipidemic ApoE–/– mice, in which dissection precedes aneurysm formation and atherosclerosis (21). Ang II infusion into Lnk–/– mice provides a novel, simple, and rapid model of AD and rupture, without the confounding effects of hyperlipidemia or artificial disruption of aortic structural integrity, that recapitulates many features of the human disease including male predominance. Thus, this model provides a valuable tool to investigate mechanisms of disease, including sex differences, identify potential biomarkers of disease activity, and test new therapeutic strategies.
We found that inhibition of neutrophil migration and MMP activity with doxycycline dramatically reduced the incidence and progression of disease (Figure 6). Of note, the incidence of AD did not return to WT levels, suggesting that either we did not achieve complete inhibition of neutrophil migration and MMP activity or that neutrophil- and MMP-independent mechanisms might also be involved. To our knowledge, doxycycline has not been studied in the context of AD, but rather in humans and animal models of aortic aneurysm with mixed results (22–25). Since circulating neutrophil-to-lymphocyte ratio and MMP-9 are elevated in patients with acute AD compared with patients with chronic aneurysm and healthy controls (16, 26), it is possible that doxycycline, or related drugs, may be more effective in the management of AD compared with aortic aneurysms. Future clinical trials in humans are needed to determine if doxycycline could represent a new therapy to prevent the development of AD in high-risk individuals or slow progression of disease.
In conclusion, our study highlights a key role for LNK in the pathology of AD in animals and humans. Furthermore, we describe an experimental model that can be used to investigate mechanisms of AD and test new therapeutic strategies, with the potential to inform both inherited and acquired forms of this disease.
Animals and BP measurement. C57BL/6J WT mice and Rag1–/– mice were purchased from Jackson Laboratories. Lnk–/– on a C57BL/6J background were generated as previously described (5, 27). Unless otherwise indicated, male mice were used for these studies. At approximately 8 to 12 weeks of age, osmotic mini-pumps (Alzet, DURECT Corporation, model 2002) were implanted subcutaneously for infusion of Ang II (1,200 ng/kg/min) or vehicle (sodium chloride/acetic acid solution) for 3 days or 14 days depending on the experiment. BP was measured noninvasively using tail cuff or invasively using carotid radiotelemetry as previously described (28). After telemetry placement, mice were allowed to recover for 10 days prior to osmotic mini-pump implantation. Mice were euthanized using CO2 inhalation at the end of the planned experiment or if hindlimb paralysis (sign of vascular insufficiency due to AD) was observed.
Mouse serum collection and cholesterol measurements. Mice were fasted overnight and euthanized before blood collection. Blood was collected from the left and right ventricles and centrifuged at 3,000 g for 15 minutes. Serum was collected from the centrifuged samples and total cholesterol was measured by the Translational Pathology Shared Resource core at Vanderbilt University Medical Center.
PrediXcan analysis. BioVU is a large biobank of Vanderbilt University Medical Center (VUMC) that houses deidentified DNA samples linked to phenotypic data derived from the electronic medical record (EMR) system (29). DNA samples were genotyped on the Multi-Ethnic Global Array, and the genotypes were imputed into the Haplotype Reference Consortium reference panel using the Michigan imputation server. Imputed data and the 1000 Genome Project data of CEU, YRI, and CHB+JPT descent were combined to carry out principal component analysis (PCA) and only samples of European descent were extracted for analysis based on the PCA plot. Expression of SH2B3 across multiple tissues was imputed for each person based on their genotypes using the expression predictors previously trained on the GTEx release of RNA sequencing data (10). Logistic regression was performed for a binary AD phenotype as the outcome and tissue-specific predicted gene expression as the risk factor while adjusting for covariates of age, gender, genotyping array type/batch, and 3 principle components of ancestry. The AD phenotype was defined as containing at least one of the following ICD9 codes: 441, 441.00, 441.01, 441.02, 441.03; and the controls were defined as not having any diseases of the arteries, arterioles, and capillaries (i.e., excluding phecodes 440–449.99; https://phewascatalog.org/phecodes). The combination of 32 SNPs that predict SH2B3 expression and associated with the AD phenotype are shown in Supplemental Table 1. This expression predictor explains 8% of the measured expression in the brain nucleus accumbens basal ganglia of GTEx.
Contrast-enhanced in vivo microCT imaging. Mice were injected intravenously every 2 days with 100 μl of 15-nm AuroVist gold nanoparticles (Nanoprobes). Under isoflurane anesthesia, microCT images of the abdominal cavity of WT and Lnk–/– mice were obtained prior to Ang II treatment and during Ang II infusion, as indicated in the figures using a vivaCT80 (Scanco Medical AG). Axial images were acquired with 62.4-μm3 isotropic voxels, in a 31.9-mm field of view, with acquisition settings of 2,000 projections/rotation, 200 msec integration, 45 kVp, and 177 μA. Total radiation exposure time was 6 minutes 40 seconds. The volume of interest was defined by loosely outlining the perimeter of the abdominal aorta from the superior to the inferior mesenteric arterial branches, then applying a 3D Gaussian noise filter and visually optimized attenuation threshold to create a 3D reconstruction of the contrast-enhanced blood pool. The mean thickness of the abdominal aorta reconstruction was determined using the 3D distance transformation method.
Immunohistochemistry. After euthanasia, mice were perfusion-fixed at physiological pressure with 10% neutral buffered formalin. Aortas were incubated 24 hours in Decalcifying Solution-Lite (Sigma-Aldrich), embedded in paraffin, and cut in cross sections of 5 μm. Slides were deparaffinized and heat- or enzyme-induced antigen retrieval was performed. Slides were incubated with anti-CD3 (ab16669, Abcam) for T cells, anti-neutrophil marker (ab2557, Abcam) for neutrophils, anti-CD45R (550286, BD Pharmingen) for B cells, and anti-F4/80 (NB600-404, Novus Biologicals) for macrophages. The Bond Polymer Refine detection system (DS9800, Leica) was used for visualization. Slides were then dehydrated, cleared, and coverslipped.
Histological staining. Sections of 10 μm were stained with hematoxylin and eosin, Masson’s trichrome, picrosirius red, or Elastica van Gieson to assess extracellular matrix remodeling. Sections were digitized with Leica SCN400 slide scanner. Stained areas were determined using color-based thresholding and quantified by Digital Image Hub software (4.0.6). To assess collagen fibers, picrosirius red–stained sections were studied under polarized light and collagen fibers were quantified using custom feature-based panoramic image stitching and color segmentation algorithms in MATLAB (2016a, MathWorks) as previously described (30).
Mechanical testing. Biaxial mechanical tests were performed on excised segments of the aorta using methods described previously (31). Four segments of the aorta — ascending, proximal descending thoracic, suprarenal abdominal, and infrarenal abdominal — from WT and Lnk–/– mice infused for 3 days with vehicle or Ang II were gently cleaned of excess perivascular tissue and all branches were ligated. Vessels were then cannulated with custom glass pipettes and mounted within a custom computer-controlled testing device (32). After an equilibration period of 15 minutes in heated Hanks balanced salt solution (37°C, GIBCO 14025134), the vessels were preconditioned via 4 cycles of pressurization (from 10 to 140 mmHg) at the in vivo axial length. The unloaded geometry (outer diameter, wall thickness, axial length) was recorded and the different segments were exposed to 3 cyclic pressure-diameter (P-d) protocols at 3 different fixed axial lengths and 4 cyclic axial force-length (f-l) tests at 4 different fixed intraluminal pressures. The biaxial data (outer diameter, luminal pressure, axial length, axial force) were collected online and used in a nonlinear regression analysis to identify best-fit values of the material parameters in a validated nonlinear constitutive relation using a previously described algorithm (MATLAB) (31). Biaxial wall stress, intrinsic material stiffness, and stored strain energy were calculated for in vivo loading conditions (e.g., group-specific in vivo axial stretch and systolic pressure). Note that the experimentally determined systolic pressures were 124 mmHg for sham and 151 mmHg for Ang II–infused mice.
qRT-PCR analysis. Aortas were homogenized in TRIzol using Lysing Matrix D tubes (MP Biomedicals) and a MiniBeadBeater homogenizer (BioSpec). Lysates were then subjected to phenol-chloroform extraction. RNA was subsequently isolated from the aqueous phase using an RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. cDNA was made using a High-Capacity cDNA Reverse Transcription kit (Applied Biosystems) according to the manufacturer’s instructions. A Taqman assay system and probes (Thermo Fisher Scientific) were used to detect Coll1a1, Coll3a1, MMP-2, MMP-9, TIMP-1, and TIMP-2. A Taqman assay system and probe for GAPDH (Thermo Fisher Scientific) was used as an endogenous control. Relative quantification was determined using the comparative CT method with data normalized to GAPDH and calibrated to the average of the control group.
RNA sequencing. Total RNA was extracted with the TRIzol reagent. RNA quality was assessed using the 2100 Bioanalyzer (Agilent). At least 200 ng of DNase-treated total RNA with a RNA integrity number greater than 6 was used to generate ribo-depleted libraries using TruSeq Stranded RNA sample kits with indexed adaptors (Illumina). Library quality was assessed using the 2100 Bioanalyzer and libraries were quantified using KAPA Library Quantification Kits (KAPA Biosystems). Pooled libraries were subjected to 75-bp paired-end sequencing according to the manufacturer’s protocol (Illumina HiSeq 3000). Bcl2fastq2 Conversion Software (Illumina) was used to generate demultiplexed Fastq files. For the analysis, after adapter trimming by cutadapt (33), RNA sequencing reads were aligned to the mouse reference genome mm10 using STAR (34) and quantified by featureCounts (35). Differential analyses were performed by DESeq2 (36). The significantly changed genes were assessed with adjusted P ≤ 0.05 and absolute fold change ≥ 1.5. To visualize the expression pattern of differential genes, cluster analysis and PCA were performed using R software (www.r-project.org/). To analyze function changes between 2 groups of mice, pathway analysis was performed with WebGestalt software (37) for genes with P value ≤ 0.05 and absolute fold change ≥ 1.5.
Zymography. The zymography protocol was performed as described previously (38). Aortic proteins were extracted in a cold lysis buffer (0.025 M Tris-HCl, 0.1 M NaCl, 1% v/v Nonidet P-40, protease inhibitor cocktail, pH 7.5). Samples were standardized for protein concentration and run in a 10% polyacrylamide gel containing 0.1% w/v gelatin. After electrophoresis, gels were renatured (2.5% Triton X-100) for 30 minutes at room temperature and incubated at 37°C overnight in developing buffer (0.05 M Tris-HCl, 0.2 M NaCl, 0.005 M CaCl2, 0.25% Triton X-100, pH 7.8). After staining the gels with 0.5% Coomassie brilliant blue R-250 for 1 hour, the gels were destained until areas of gelatinolytic activity appeared as clear sharp bands. The molecular sizes of gelatinolytic activities were determined with the use of protein standards (Precision Plus Protein, Bio-Rad Laboratories). Band intensity was quantified using Image Lab3 software. MMP activity was displayed as fold change compared with the WT sham group. For each experiment the average of the WT sham group was set at 1.
Flow cytometry. Single-cell suspensions of aorta were prepared as previously described (39). Briefly, aortas with surrounding perivascular fat were minced and digested with 1 mg/ml collagenase A, 1 mg/ml collagenase B, and 100 μg/ml DNAse I in RPMI 1640 medium supplemented with 5% FBS for 30 minutes at 37°C. Tissue homogenates were filtered through a 40-μm cell strainer. Antibodies used for flow cytometry were as follows: CD45-APC (clone 30-F11, BioLegend), CD11b-APCCy7 (clone M1/70, BioLegend), Ly6G-PE (clone 1A8, BioLegend), F4/80-FITC (clone BM8, BioLegend), CD3-PerCPCy5.5 (clone 17A2, BioLegend), CD19-FITC (clone 6D5, BioLegend), CD206-PE (clone C068C2, BioLegend), and CD80-PECy7 (clone 16-10A1, BioLegend). For live/dead staining, LIVE/DEAD Fixable Violet Dead Cell Stain (Life Technologies) was used. Aortic cell numbers were quantified using 123count eBeads (eBioscience). Flow cytometric multiparameter acquisition was performed on a BD FACSCanto II system and data were analyzed with BD FACSDiva software (BD Biosciences). Gates were set using fluorescence-minus-one controls.
Adoptive transfer. Spleens of WT or Lnk–/– mice were flushed with cold PBS and erythrocytes were eliminated using RBC lysis buffer. To fully reconstitute immune niches including peritoneal B1 cells, 2 × 107 splenic CD45+ leukocytes were mixed with 5 × 105 peritoneal B cells isolated using B cell isolation kit (Miltenyi Biotec) from either WT or Lnk–/– mice and injected intraperitoneally into recipient Rag1–/– mice. Two weeks after injection, recipient Rag1–/– mice were subjected to Ang II infusion for 2 weeks.
Doxycycline treatment. Lnk–/– mice were treated with doxycycline (0.44 mg/ml, Sigma-Aldrich) starting 1 week prior to Ang II infusion and continuing during the 2 weeks of Ang II infusion. Mice received a calculated dose of 100 mg/kg/day in the drinking water as previously described (40). Each bottle was protected from the light and fresh doxycycline solution was prepared every 2 days.
Neutrophil isolation from the bone marrow. Mouse bone marrow cells were harvested by flushing the marrow of the femurs with RPMI supplemented with 10% FBS. Neutrophils were isolated using Histopaque-based density gradient centrifugation as previously described (41).
Chemotaxis assay. This assay was performed using the HTS Transwell 24-well plates/3-μm pore (Corning). Neutrophils isolated from the bone marrow were resuspended with RPMI/1% FBS. Cells (1 × 105) were resuspended in 100 μl of RPMI/1% FBS and added into the upper wells. CXCL2 (100 ng/ml) was added into the lower wells. The plates were incubated at 37°C with 5% CO2 for 1 hour. The lower cell suspensions were analyzed by flow cytometry to quantify the number of migrated neutrophils.
Ex vivo neutrophil activation. Neutrophils isolated from the bone marrow of WT and Lnk–/– mice were resuspended in RPMI/0% FBS and placed in 96-well plates (50,000 neutrophils/100 μl) with PMA and ionomycin (cell activation cocktail, BioLegend). Cells were incubated at 37°C with 5% CO2 for 3 hours. The media were collected for gelatin zymography analysis.
Mouse chemokine array. The mouse chemokine array kit (Proteome Profiler Array, catalog ARY020, R&D Systems) was used for the parallel determination of relative levels of selected mouse chemokines in the aortas of WT and Lnk–/– mice infused with Ang II for 3 days. The array was performed according to the manufacturer’s instructions.
Statistics. Data were analyzed using Student’s t tests (for 2-group comparisons), 2-way ANOVA (for multiple group comparisons), or Mantel-Cox test (for survival analysis) and are presented as box-and-whisker plots or mean ± SEM as indicated. P < 0.05 was considered significant.
Study approval. All animal procedures were approved by the Vanderbilt IACUC.
FL, AK, MRB, DSP, JAC, JDH, and MSM designed the experiments. FL, AK, MRB, MRA, XZ, JPVB, YC, LX, MAS, WGM, KAG, BLD, SZ, YG, and DSP generated and analyzed data. YS, DSP, NJC, JAC, JDH, and MSM supervised the study and analyzed data. FL, AK, MRB, MRA, XZ, SZ, JAC, JDH, and MSM wrote the manuscript and revised it for intellectual content.
We acknowledge the Vanderbilt Translational Pathology Shared Resource (NCI/NIH Cancer Center 5P30 CA68485-19), Mouse Metabolic Phenotyping Center (DK59637), Technologies for Advanced Genomics Core (P30 CA68485), and the Institute of Imaging Science (NIH grant S10OD016204 to DSP). This work was supported by an American Heart Association postdoctoral fellowship award (16POST29950007) to FL, an NIH U01 award (HL116323) to JDH, and an NIH NHLBI K08 award (HL121671), a Gilead Cardiovascular Scholars Grant, and an NIH DP2 award (HL137166) to MSM.
Address correspondence to: Meena S. Madhur, Department of Medicine, Division of Clinical Pharmacology, 2215 Garland Avenue, P415D MRB IV, Vanderbilt University, Nashville, Tennessee 37232, USA. Phone: 615.875.3273; Email: meena.madhur@vanderbilt.edu.
MAS’s present address is: Department of Pharmacology and Toxicology, Mansoura University, Mansoura, Egypt.
YG’s present address is: Bioinformatics Shared Resource, University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico, USA.
Conflict of interest: MSM received a research grant from Gilead Sciences, Inc.
License: Copyright 2018, American Society for Clinical Investigation.
Reference information: JCI Insight. 2018;3(20):e122558. https://doi.org/10.1172/jci.insight.122558.