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Bennett HC, Zhang Q, Wu YT, Manjila SB, Chon U, Shin D, Vanselow DJ, Pi HJ, Drew PJ, Kim Y. Aging drives cerebrovascular network remodeling and functional changes in the mouse brain. Nat Commun 2024; 15:6398. [PMID: 39080289 PMCID: PMC11289283 DOI: 10.1038/s41467-024-50559-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 07/15/2024] [Indexed: 08/02/2024] Open
Abstract
Aging is frequently associated with compromised cerebrovasculature and pericytes. However, we do not know how normal aging differentially impacts vascular structure and function in different brain areas. Here we utilize mesoscale microscopy methods and in vivo imaging to determine detailed changes in aged murine cerebrovascular networks. Whole-brain vascular tracing shows an overall ~10% decrease in vascular length and branching density with ~7% increase in vascular radii in aged brains. Light sheet imaging with 3D immunolabeling reveals increased arteriole tortuosity of aged brains. Notably, vasculature and pericyte densities show selective and significant reductions in the deep cortical layers, hippocampal network, and basal forebrain areas. We find increased blood extravasation, implying compromised blood-brain barrier function in aged brains. Moreover, in vivo imaging in awake mice demonstrates reduced baseline and on-demand blood oxygenation despite relatively intact neurovascular coupling. Collectively, we uncover regional vulnerabilities of cerebrovascular network and physiological changes that can mediate cognitive decline in normal aging.
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Affiliation(s)
- Hannah C Bennett
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Qingguang Zhang
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Physiology, Michigan State University, East Lansing, MI, 48824, USA
| | - Yuan-Ting Wu
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
- Department of Neurosurgery, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - Steffy B Manjila
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Uree Chon
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
- Neurosciences Graduate Program, Stanford University, Stanford, CA, 94305, USA
| | - Donghui Shin
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Daniel J Vanselow
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Hyun-Jae Pi
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Patrick J Drew
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Biomedical Engineering, Biology, and Neurosurgery, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Yongsoo Kim
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA.
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
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2
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Chowdhury SF, Prout N, Rivera-Núñez Z, Barrett E, Brunner J, Duberstein Z, Kannan K, Salafia CM, Shah R, Miller RK, O'Connor TG. PFAS alters placental arterial vasculature in term human placentae: A prospective pregnancy cohort study. Placenta 2024; 149:54-63. [PMID: 38518389 PMCID: PMC10997442 DOI: 10.1016/j.placenta.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 03/24/2024]
Abstract
INTRODUCTION Perfluoroalkyl substances (PFAS) are synthetic chemicals used in industrial and consumer goods that are widely detected in human populations and are associated with adverse health outcomes, including perinatal health risks and child health. One mechanism of influence may be the impact of PFAS exposure on placental structure and function. OBJECTIVES The objective of this study is to investigate the relationship between maternal prenatal exposure to PFAS and measures of placental vascularization, and to assess whether changes in vascularization play a role in mediating the impact of PFAS on birth outcomes. METHODS Using data from a prospective cohort study, we examined associations between second trimester PFAS (individually and as mixtures using Bayesian kernel machine regression) and placental arterial vasculature in term placentae (N = 158); secondarily we evaluated the degree to which alterations in placental arterial vasculature explained associations between PFAS exposure and birth outcomes. Placental arterial vasculature features were collected from arterial tracings of each placental image. RESULTS In both linear regression and mixture models, natural log-transformed perfluorooctanoic acid concentrations were negatively associated with surface vasculature, indexed by the mean distance from arterial end point to perimeter (β = -0.23, 95% CI: -0.41, -0.041); additionally, maximum arterial tortuosity was negatively associated with placental weight (β = -0.19, 95% CI: -0.34, -0.051). There were no reliable differences in effect by fetal sex. DISCUSSION The findings provide some of the first evidence of PFAS exposure shaping a key measure of placental vascular function, which may underlie the impact of PFAS on perinatal and child health risks.
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Affiliation(s)
- Sadia Firoza Chowdhury
- Wynne Center for Family Research, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA; Translational Biomedical Sciences Program, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA.
| | - Nashae Prout
- Wynne Center for Family Research, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA; Toxicology Graduate Program, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA.
| | - Zorimar Rivera-Núñez
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ, 08854, USA; Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ, 08854, USA.
| | - Emily Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ, 08854, USA; Environmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ, 08854, USA; Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, USA.
| | - Jessica Brunner
- Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, USA.
| | - Zoe Duberstein
- Wynne Center for Family Research, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA; Psychology, University of Rochester, Meliora Hall, P.O. Box 270266, Rochester, NY, 14627, USA.
| | - Kurunthachalam Kannan
- Department of Pediatrics and Department of Environmental Medicine, New York University Grossman School of Medicine, 550 1st Ave., New York, NY, 10016, USA.
| | - Carolyn M Salafia
- Placental Analytics LLC, 187 Overlook Circle, New Rochelle, NY, 10804, USA; Institute for Basic Research, 1550 Forest Hill Road, Staten Island, NY 10314, USA; New York Presbyterian- Brooklyn Methodist Hospital, 550 6th Street, Brooklyn, NY, 11215, USA; Queens Hospital Center, 82-68 164th Street, Queens, New York, 11432, USA.
| | - Ruchit Shah
- Placental Analytics LLC, 187 Overlook Circle, New Rochelle, NY, 10804, USA.
| | - Richard K Miller
- Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, USA.
| | - Thomas G O'Connor
- Wynne Center for Family Research, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA; Department of Obstetrics and Gynecology, University of Rochester School of Medicine and Dentistry, USA; Psychology, University of Rochester, Meliora Hall, P.O. Box 270266, Rochester, NY, 14627, USA; Department of Psychiatry, University of Rochester, 300 Crittenden Blvd., Rochester, NY, 14642, USA; Department of Neuroscience, University of Rochester, 601 Elmwood Avenue., Rochester, NY, 14642, USA.
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3
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Kobeissi H, Jilberto J, Karakan MÇ, Gao X, DePalma SJ, Das SL, Quach L, Urquia J, Baker BM, Chen CS, Nordsletten D, Lejeune E. MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles. PLoS One 2024; 19:e0298863. [PMID: 38530829 DOI: 10.1371/journal.pone.0298863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 02/01/2024] [Indexed: 03/28/2024] Open
Abstract
Advancing human induced pluripotent stem cell derived cardiomyocyte (hiPSC-CM) technology will lead to significant progress ranging from disease modeling, to drug discovery, to regenerative tissue engineering. Yet, alongside these potential opportunities comes a critical challenge: attaining mature hiPSC-CM tissues. At present, there are multiple techniques to promote maturity of hiPSC-CMs including physical platforms and cell culture protocols. However, when it comes to making quantitative comparisons of functional behavior, there are limited options for reliably and reproducibly computing functional metrics that are suitable for direct cross-system comparison. In addition, the current standard functional metrics obtained from time-lapse images of cardiac microbundle contraction reported in the field (i.e., post forces, average tissue stress) do not take full advantage of the available information present in these data (i.e., full-field tissue displacements and strains). Thus, we present "MicroBundleCompute," a computational framework for automatic quantification of morphology-based mechanical metrics from movies of cardiac microbundles. Briefly, this computational framework offers tools for automatic tissue segmentation, tracking, and analysis of brightfield and phase contrast movies of beating cardiac microbundles. It is straightforward to implement, runs without user intervention, requires minimal input parameter setting selection, and is computationally inexpensive. In this paper, we describe the methods underlying this computational framework, show the results of our extensive validation studies, and demonstrate the utility of exploring heterogeneous tissue deformations and strains as functional metrics. With this manuscript, we disseminate "MicroBundleCompute" as an open-source computational tool with the aim of making automated quantitative analysis of beating cardiac microbundles more accessible to the community.
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Affiliation(s)
- Hiba Kobeissi
- Department of Mechanical Engineering, Boston University, Boston, MA, United States of America
- Center for Multiscale and Translational Mechanobiology, Boston University, Boston, MA, United States of America
| | - Javiera Jilberto
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America
| | - M Çağatay Karakan
- Department of Mechanical Engineering, Boston University, Boston, MA, United States of America
- Photonics Center, Boston University, Boston, MA, United States of America
- Department of Biomedical Engineering, Boston University, Boston, MA, United States of America
| | - Xining Gao
- Department of Biomedical Engineering, Boston University, Boston, MA, United States of America
- Harvard-MIT Program in Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United States of America
| | - Samuel J DePalma
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America
| | - Shoshana L Das
- Department of Biomedical Engineering, Boston University, Boston, MA, United States of America
- Harvard-MIT Program in Health Sciences and Technology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States of America
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United States of America
| | - Lani Quach
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America
| | - Jonathan Urquia
- Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, United States of America
| | - Brendon M Baker
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America
| | - Christopher S Chen
- Department of Biomedical Engineering, Boston University, Boston, MA, United States of America
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United States of America
| | - David Nordsletten
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States of America
- Department of Biomedical Engineering, School of Imaging Sciences and Biomedical Engineering, King's Health Partners, King's College London, King's Health Partners, London, United Kingdom
| | - Emma Lejeune
- Department of Mechanical Engineering, Boston University, Boston, MA, United States of America
- Center for Multiscale and Translational Mechanobiology, Boston University, Boston, MA, United States of America
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Ibrahim NM, Jagota P, Pal PK, Bhidayasiri R, Lim SY, Ugawa Y, Aldaajani Z, Jeon B, Fujioka S, Lee JY, Kukkle PL, Shang H, Phokaewvarangkul O, Diesta C, Shambetova C, Lin CH. Historical and More Common Nongenetic Movement Disorders From Asia. J Mov Disord 2023; 16:248-260. [PMID: 37291830 PMCID: PMC10548075 DOI: 10.14802/jmd.22224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/28/2023] [Accepted: 05/02/2023] [Indexed: 06/10/2023] Open
Abstract
Nongenetic movement disorders are common throughout the world. The movement disorders encountered may vary depending on the prevalence of certain disorders across various geographical regions. In this paper, we review historical and more common nongenetic movement disorders in Asia. The underlying causes of these movement disorders are diverse and include, among others, nutritional deficiencies, toxic and metabolic causes, and cultural Latah syndrome, contributed by geographical, economic, and cultural differences across Asia. The industrial revolution in Japan and Korea has led to diseases related to environmental toxin poisoning, such as Minamata disease and β-fluoroethyl acetate-associated cerebellar degeneration, respectively, while religious dietary restriction in the Indian subcontinent has led to infantile tremor syndrome related to vitamin B12 deficiency. In this review, we identify the salient features and key contributing factors in the development of these disorders.
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Affiliation(s)
- Norlinah Mohamed Ibrahim
- Neurology Unit, Department of Medicine, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia
| | - Priya Jagota
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Shen-Yang Lim
- The Mah Pooi Soo & Tan Chin Nam Centre for Parkinson’s & Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Yoshikazu Ugawa
- Department of Human Neurophysiology, Faculty of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Zakiyah Aldaajani
- Neurology Unit, King Fahad Military Medical Complex, Dhahran, Saudi Arabia
| | - Beomseok Jeon
- Department of Neurology, Seoul National University, Seoul, Korea
- Movement Disorder Center, Seoul National University Hospital, Seoul, Korea
| | - Shinsuke Fujioka
- Department of Neurology, Fukuoka University, Faculty of Medicine, Fukuoka, Japan
| | - Jee-Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University Medical College, Seoul, Korea
| | - Prashanth Lingappa Kukkle
- Center for Parkinson’s Disease and Movement Disorders, Manipal Hospital, Bangalore, India
- Parkinson’s Disease and Movement Disorders Clinic, Bangalore, India
| | - Huifang Shang
- Department of Neurology, Laboratory of Neurodegenerative Disorders, Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Onanong Phokaewvarangkul
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Cid Diesta
- Section of Neurology, Department of Neuroscience, Makati Medical Center, NCR, Makati, Metro Manila, Philippines
| | | | - Chin-Hsien Lin
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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5
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Weiss D, Rego BV, Cavinato C, Li DS, Kawamura Y, Emuna N, Humphrey JD. Effects of Age, Sex, and Extracellular Matrix Integrity on Aortic Dilatation and Rupture in a Mouse Model of Marfan Syndrome. Arterioscler Thromb Vasc Biol 2023; 43:e358-e372. [PMID: 37470181 PMCID: PMC10528515 DOI: 10.1161/atvbaha.123.319122] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/11/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Transmural failure of the aorta is responsible for substantial morbidity and mortality; it occurs when mechanical stress exceeds strength. The aortic root and ascending aorta are susceptible to dissection and rupture in Marfan syndrome, a connective tissue disorder characterized by a progressive reduction in elastic fiber integrity. Whereas competent elastic fibers endow the aorta with compliance and resilience, cross-linked collagen fibers confer stiffness and strength. We hypothesized that postnatal reductions in matrix cross-linking increase aortopathy when turnover rates are high. METHODS We combined ex vivo biaxial mechanical testing with multimodality histological examinations to quantify expected age- and sex-dependent structural vulnerability of the ascending aorta in Fbn1C1041G/+ Marfan versus wild-type mice without and with 4-week exposures to β-aminopropionitrile, an inhibitor of lysyl oxidase-mediated cross-linking of newly synthesized elastic and collagen fibers. RESULTS We found a strong β-aminopropionitrile-associated sexual dimorphism in aortic dilatation in Marfan mice and aortic rupture in wild-type mice, with dilatation correlating with compromised elastic fiber integrity and rupture correlating with compromised collagen fibril organization. A lower incidence of rupture of β-aminopropionitrile-exposed Marfan aortas associated with increased lysyl oxidase, suggesting a compensatory remodeling of collagen that slows disease progression in the otherwise compromised Fbn1C1041G/+ aorta. CONCLUSIONS Collagen fiber structure and function in the Marfan aorta are augmented, in part, by increased lysyl oxidase in female and especially male mice, which improves structural integrity, particularly via fibrils in the adventitia. Preserving or promoting collagen cross-linking may represent a therapeutic target for an otherwise vulnerable aorta.
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Affiliation(s)
- Dar Weiss
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - Bruno V Rego
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - Cristina Cavinato
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - David S Li
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - Yuki Kawamura
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - Nir Emuna
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
| | - Jay D Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT (D.W., B.V.R., C.C., D.S.L., Y.K., N.E., J.D.H.)
- Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT (J.D.H.)
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6
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Han HC, Sultan S, Xiang M. The effects of axial twisting and material non-symmetry on arterial bent buckling. J Biomech 2023; 157:111735. [PMID: 37499429 DOI: 10.1016/j.jbiomech.2023.111735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/25/2023] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
Artery buckling occurs due to hypertensive lumen pressure or reduced axial tension and other pathological conditions. Since arteries in vivo often experience axial twisting and the collagen fiber alignment in the arterial wall may become nonsymmetric, it is imperative to know how axial twisting and nonsymmetric collagen alignment would affect the buckling behavior of arteries. To this end, the objective of this study was to determine the effect of axial twisting and nonsymmetric collagen fiber distribution on the critical pressure of arterial bent buckling. The buckling model analysis was generalized to incorporate an axial twist angle and nonsymmetric fiber alignment. The effect of axial twisting on the critical pressure was simulated and experimentally tested in a group of porcine carotid arteries. Our results showed that axial twisting tends to reduce the critical pressure depending on the axial stretch ratio and twist angle. In addition, nonsymmetric fiber alignment reduces the critical pressure. Experimental results confirmed that a twist angle of 90° reduces the critical pressure significantly (p < 0.05). It was concluded that axial twisting and non-axisymmetric collagen fibers distribution could make arteries prone to bent buckling. These results enrich our understanding of artery buckling and vessel tortuosity. The model analysis and results could also be applicable to other fiber reinforced tubes under lumen pressure and axial twisting.
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Affiliation(s)
- Hai-Chao Han
- Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, United States.
| | - Sarah Sultan
- Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, United States
| | - Michael Xiang
- Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, United States
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7
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Bennett HC, Zhang Q, Wu YT, Chon U, Pi HJ, Drew PJ, Kim Y. Aging drives cerebrovascular network remodeling and functional changes in the mouse brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.23.541998. [PMID: 37305850 PMCID: PMC10257218 DOI: 10.1101/2023.05.23.541998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Aging is the largest risk factor for neurodegenerative disorders, and commonly associated with compromised cerebrovasculature and pericytes. However, we do not know how normal aging differentially impacts the vascular structure and function in different brain areas. Here we utilize mesoscale microscopy methods (serial two-photon tomography and light sheet microscopy) and in vivo imaging (wide field optical spectroscopy and two-photon imaging) to determine detailed changes in aged cerebrovascular networks. Whole-brain vascular tracing showed an overall ~10% decrease in vascular length and branching density, and light sheet imaging with 3D immunolabeling revealed increased arteriole tortuosity in aged brains. Vasculature and pericyte densities showed significant reductions in the deep cortical layers, hippocampal network, and basal forebrain areas. Moreover, in vivo imaging in awake mice identified delays in neurovascular coupling and disrupted blood oxygenation. Collectively, we uncover regional vulnerabilities of cerebrovascular network and physiological changes that can mediate cognitive decline in normal aging.
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Affiliation(s)
- Hannah C Bennett
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
- Equal contribution
| | - Qingguang Zhang
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Equal contribution
| | - Yuan-Ting Wu
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Uree Chon
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Hyun-Jae Pi
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
| | - Patrick J Drew
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Biomedical Engineering, Biology, and Neurosurgery, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Yongsoo Kim
- Department of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, 17033, USA
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA
- Lead contact
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8
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Leyssens L, Balcaen T, Pétréa M, Ayllón NB, Aazmani WE, de Pierpont A, Pyka G, Lacroix V, Kerckhofs G. Non-destructive 3D characterization of the blood vessel wall microstructure in different species and blood vessel types using contrast-enhanced microCT and comparison with synthetic vascular grafts. Acta Biomater 2023; 164:303-316. [PMID: 37072066 DOI: 10.1016/j.actbio.2023.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/14/2023] [Accepted: 04/07/2023] [Indexed: 04/20/2023]
Abstract
To improve the current treatment for vascular diseases, such as vascular grafts, intravascular stents, and balloon angioplasty intervention, the evaluation of the native blood vessel microstructure in full 3D could be beneficial. For this purpose, we used contrast-enhanced X-ray microfocus computed tomography (CECT): a combination of X-ray microfocus computed tomography (microCT) and contrast-enhancing staining agents (CESAs) containing high atomic number elements. In this work, we performed a comparative study based on staining time and contrast-enhancement of 2 CESAs: Monolacunary and 1:2 Hafnium-substituted Wells-Dawson polyoxometalate (Mono-WD POM and Hf-WD POM, respectively) for imaging of the porcine aorta. After showing the advantages of Hf-WD POM in terms of contrast enhancement, we expanded our imaging to other species (rat, porcine, and human) and other types of blood vessels (porcine aorta, femoral artery, and vena cava), clearly indicating microstructural differences between different types of blood vessels and different species. We then showed the possibility to extract useful 3D quantitative information from the rat and porcine aortic wall, potentially to be used for computational modeling or for future design optimization of graft materials. Finally, a structural comparison with existing synthetic vascular grafts was made. This information will allow to better understand the in vivo functioning of native blood vessels and to improve the current disease treatments. STATEMENT OF SIGNIFICANCE: Synthetic vascular grafts, used as treatment for some cardiovascular diseases, still often fail clinically, potentially because of a mismatch in mechanical behaviour between the native blood vessel and the graft. To better understand the causes of this mismatch, we studied the full 3D microstructure of blood vessels. For this, we identified Hafnium-substituted Wells-Dawson polyoxometalate as contrast-enhancing staining agent to perform contrast-enhanced X-ray microfocus computed tomography. This technique allowed to show important differences in the microstructure of different types of blood vessels and in different species, as well as with that of synthetic grafts. This information can lead to a better understanding of the functioning of blood vessels and will allow to improve current disease treatments, such as vascular grafts.
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Affiliation(s)
- Lisa Leyssens
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium; Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium
| | - Tim Balcaen
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium; Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium; MolDesignS, Sustainable Chemistry for Metals and Molecules, Department of Chemistry, KU Leuven, 3001 Leuven, Belgium
| | - Maïté Pétréa
- Department BioMechanics, KU Leuven, 3001 Leuven, Belgium
| | - Natalia Béjar Ayllón
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium
| | - Walid El Aazmani
- Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium
| | - Alix de Pierpont
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium
| | - Grzegorz Pyka
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium; Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium
| | - Valérie Lacroix
- Pole of Cardiovascular Research, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium; Cliniques Universitaires Saint-Luc, Service de chirurgie cardiovasculaire et thoracique, 1200 Woluwe-Saint-Lambert, Belgium
| | - Greet Kerckhofs
- Mechatronic, Electrical Energy and Dynamic Systems, Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, 1348 Louvain-la-Neuve, Belgium; Pole of Morphology, Institute of Experimental and Clinical Research, UCLouvain, 1200 Woluwe-Saint-Lambert, Belgium; Department of Materials Engineering, KU Leuven, 3001 Leuven, Belgium; Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, 3000 Leuven, Belgium.
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9
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Association between the Angle of the Left Subclavian Artery and Procedural Time for Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome. J Interv Cardiol 2022; 2022:3249745. [PMID: 36474644 PMCID: PMC9691329 DOI: 10.1155/2022/3249745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 10/12/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022] Open
Abstract
Background The effect of left subclavian artery tortuosity during percutaneous coronary intervention (PCI) in patients with acute coronary syndrome (ACS) remains unclear. Methods Of 245 ACS patients (from November 2019 and May 2021), 79 who underwent PCI via a left radial approach (LRA) were included. We measured the angle of the left subclavian artery in the coronal view on CT imaging as an indicator of the tortuosity and investigated the association between that angle and the clinical variables and procedural time. Results Patients with a left subclavian artery angle of a median of <70 degrees (severe tortuosity) were older (75.4 ± 11.7 vs. 62.9 ± 12.3 years, P < 0.001) and had a higher prevalence of female sex (42.1% vs. 14.6%, P=0.007), hypertension (94.7% vs. 75.6%, P=0.02), and subclavian artery calcification (73.7% vs. 34.2%, P < 0.001) than those with that ≥70 degrees. The left subclavian artery angle correlated negatively with the sheath cannulation to the first balloon time (ρ = -0.51, P < 0.001) and total procedural time (ρ = -0.32, P=0.004). A multiple linear regression analysis revealed that the natural log transformation of the sheath insertion to first balloon time was associated with a subclavian artery angle of <70 degrees (β = 0.45, P < 0.001). Conclusion Our study showed that lower left subclavian artery angles as a marker of the tortuosity via the LRA were strongly associated with a longer sheath insertion to balloon time and subsequent entire procedure time during the PCI.
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10
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Markiewicz T, Dziekiewicz M. Quantification of the ilio-femoral arteries tortuosity and data cluster modelling for preoperative examination. Biocybern Biomed Eng 2022. [DOI: 10.1016/j.bbe.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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11
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Weiss D, Long AS, Tellides G, Avril S, Humphrey JD, Bersi MR. Evolving Mural Defects, Dilatation, and Biomechanical Dysfunction in Angiotensin II-Induced Thoracic Aortopathies. Arterioscler Thromb Vasc Biol 2022; 42:973-986. [PMID: 35770665 PMCID: PMC9339505 DOI: 10.1161/atvbaha.122.317394] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Thoracic aortopathy associates with extracellular matrix remodeling and altered biomechanical properties. We sought to quantify the natural history of thoracic aortopathy in a common mouse model and to correlate measures of wall remodeling such as aortic dilatation or localized mural defects with evolving microstructural composition and biomechanical properties of the wall. METHODS We combined a high-resolution multimodality imaging approach (panoramic digital image correlation and optical coherence tomography) with histopathologic examinations and biaxial mechanical testing to correlate spatially, for the first time, macroscopic mural defects and medial degeneration within the ascending aorta with local changes in aortic wall composition and mechanical properties. RESULTS Findings revealed strong correlations between local decreases in elastic energy storage and increases in circumferential material stiffness with increasing proximal aortic diameter and especially mural defect size. Mural defects tended to exhibit a pronounced biomechanical dysfunction that is driven by an altered organization of collagen and elastic fibers. CONCLUSIONS While aneurysmal dilatation is often observed within particular segments of the aorta, dissection and rupture initiate as highly localized mechanical failures. We show that wall composition and material properties are compromised in regions of local mural defects, which further increases the dilatation and overall structural vulnerability of the wall. Identification of therapies focused on promoting robust collagen accumulation may protect the wall from these vulnerabilities and limit the incidence of dissection and rupture.
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Affiliation(s)
- Dar Weiss
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Aaron S. Long
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - George Tellides
- Department of Surgery, Yale School of Medicine, New Haven, CT, USA
- Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA
| | - Stéphane Avril
- Mines Saint-Etienne, University of Lyon, University Jean Monnet, INSERM, Saint-Etienne, France
| | - Jay D. Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA
| | - Matthew R. Bersi
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, USA
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12
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Bazzi MS, Balouchzadeh R, Pavey SN, Quirk JD, Yanagisawa H, Vedula V, Wagenseil JE, Barocas VH. Experimental and Mouse-Specific Computational Models of the Fbln4 SMKO Mouse to Identify Potential Biomarkers for Ascending Thoracic Aortic Aneurysm. Cardiovasc Eng Technol 2022; 13:558-572. [PMID: 35064559 PMCID: PMC9304450 DOI: 10.1007/s13239-021-00600-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/28/2021] [Indexed: 11/02/2022]
Abstract
PURPOSE To use computational methods to explore geometric, mechanical, and fluidic biomarkers that could correlate with mouse lifespan in the Fbln4SMKO mouse. Mouse lifespan was used as a surrogate for risk of a severe cardiovascular event in cases of ascending thoracic aortic aneurysm. METHODS Image-based, mouse-specific fluid-structure-interaction models were developed for Fbln4SMKO mice (n = 10) at ages two and six months. The results of the simulations were used to quantify potential biofluidic biomarkers, complementing the geometrical biomarkers obtained directly from the images. RESULTS Comparing the different geometrical and biofluidic biomarkers to the mouse lifespan, it was found that mean oscillatory shear index (OSImin) and minimum time-averaged wall shear stress (TAWSSmin) at six months showed the largest correlation with lifespan (r2 = 0.70, 0.56), with both correlations being positive (i.e., mice with high OSImean and high TAWSSmin tended to live longer). When change between two and six months was considered, the change in TAWSSmin showed a much stronger correlation than OSImean (r2 = 0.75 vs. 0.24), and the correlation was negative (i.e., mice with increasing TAWSSmin over this period tended to live less long). CONCLUSION The results highlight potential biomarkers of ATAA outcomes that can be obtained through noninvasive imaging and computational simulations, and they illustrate the potential synergy between small-animal and computational models.
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Affiliation(s)
- Marisa S Bazzi
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Ramin Balouchzadeh
- Department of Mechanical Engineering & Materials Science, Washington University, St. Louis, MO, 63110, USA
| | - Shawn N Pavey
- Department of Mechanical Engineering & Materials Science, Washington University, St. Louis, MO, 63110, USA
| | - James D Quirk
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Hiromi Yanagisawa
- Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Japan
| | - Vijay Vedula
- Department of Mechanical Engineering, Columbia University, New York, NY, 10027, USA
| | - Jessica E Wagenseil
- Department of Mechanical Engineering & Materials Science, Washington University, St. Louis, MO, 63110, USA
| | - Victor H Barocas
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
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13
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Wu X, Ya J, Zhou D, Ding Y, Ji X, Meng R. Pathogeneses and Imaging Features of Cerebral White Matter Lesions of Vascular Origins. Aging Dis 2021; 12:2031-2051. [PMID: 34881084 PMCID: PMC8612616 DOI: 10.14336/ad.2021.0414] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/14/2021] [Indexed: 01/10/2023] Open
Abstract
White matter lesion (WML), also known as white matter hyperintensities or leukoaraiosis, was first termed in 1986 to describe the hyperintense signals on T2-weighted imaging (T2WI) and fluid-attenuated inversion recovery (FLAIR) maps. Over the past decades, a growing body of pathophysiological findings regarding WMLs have been discovered and discussed. Currently, the generally accepted WML pathogeneses mainly include hypoxia-ischemia, endothelial dysfunction, blood-brain barrier disruption, and infiltration of inflammatory mediators or cytokines. However, none of them can explain the whole dynamics of WML formation. Herein, we primarily focus on the pathogeneses and neuroimaging features of vascular WMLs. To achieve this goal, we searched papers with any type published in PubMed from 1950 to 2020 and cross-referenced the keywords including “leukoencephalopathy”, “leukoaraiosis”, “white matter hyperintensity”, “white matter lesion”, “pathogenesis”, “pathology”, “pathophysiology”, and “neuroimaging”. Moreover, references of the selected articles were browsed and searched for additional pertinent articles. We believe this work will supply the robust references for clinicians to further understand the different WML patterns of varying vascular etiologies and thus make customized treatment.
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Affiliation(s)
- Xiaoqin Wu
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jingyuan Ya
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,4Division of Clinical Neuroscience, Queen's Medical Center School of Medicine, the University of Nottingham, Nottingham NG7 2UH, UK
| | - Da Zhou
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuchuan Ding
- 3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,5Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Xunming Ji
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ran Meng
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
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14
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Rego BV, Weiss D, Bersi MR, Humphrey JD. Uncertainty quantification in subject-specific estimation of local vessel mechanical properties. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2021; 37:e3535. [PMID: 34605615 PMCID: PMC9019846 DOI: 10.1002/cnm.3535] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 09/26/2021] [Indexed: 05/08/2023]
Abstract
Quantitative estimation of local mechanical properties remains critically important in the ongoing effort to elucidate how blood vessels establish, maintain, or lose mechanical homeostasis. Recent advances based on panoramic digital image correlation (pDIC) have made high-fidelity 3D reconstructions of small-animal (e.g., murine) vessels possible when imaged in a variety of quasi-statically loaded configurations. While we have previously developed and validated inverse modeling approaches to translate pDIC-measured surface deformations into biomechanical metrics of interest, our workflow did not heretofore include a methodology to quantify uncertainties associated with local point estimates of mechanical properties. This limitation has compromised our ability to infer biomechanical properties on a subject-specific basis, such as whether stiffness differs significantly between multiple material locations on the same vessel or whether stiffness differs significantly between multiple vessels at a corresponding material location. In the present study, we have integrated a novel uncertainty quantification and propagation pipeline within our inverse modeling approach, relying on empirical and analytic Bayesian techniques. To demonstrate the approach, we present illustrative results for the ascending thoracic aorta from three mouse models, quantifying uncertainties in constitutive model parameters as well as circumferential and axial tangent stiffness. Our extended workflow not only allows parameter uncertainties to be systematically reported, but also facilitates both subject-specific and group-level statistical analyses of the mechanics of the vessel wall.
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Affiliation(s)
- Bruno V. Rego
- Department of Biomedical Engineering, School of Engineering & Applied Science, Yale University, New Haven, CT, USA
| | - Dar Weiss
- Department of Biomedical Engineering, School of Engineering & Applied Science, Yale University, New Haven, CT, USA
| | - Matthew R. Bersi
- Department of Mechanical Engineering & Materials Science, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Jay D. Humphrey
- Department of Biomedical Engineering, School of Engineering & Applied Science, Yale University, New Haven, CT, USA
- Correspondence Jay D. Humphrey, Department of Biomedical Engineering, Malone Engineering Center, Yale University, New Haven, CT, USA.
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15
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Hopper SE, Cuomo F, Ferruzzi J, Burris NS, Roccabianca S, Humphrey JD, Figueroa CA. Comparative Study of Human and Murine Aortic Biomechanics and Hemodynamics in Vascular Aging. Front Physiol 2021; 12:746796. [PMID: 34759837 PMCID: PMC8573132 DOI: 10.3389/fphys.2021.746796] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 10/05/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Aging has many effects on the cardiovascular system, including changes in structure (aortic composition, and thus stiffening) and function (increased proximal blood pressure, and thus cardiac afterload). Mouse models are often used to gain insight into vascular aging and mechanisms of disease as they allow invasive assessments that are impractical in humans. Translation of results from murine models to humans can be limited, however, due to species-specific anatomical, biomechanical, and hemodynamic differences. In this study, we built fluid-solid-interaction (FSI) models of the aorta, informed by biomechanical and imaging data, to compare wall mechanics and hemodynamics in humans and mice at two equivalent ages: young and older adults. Methods: For the humans, 3-D computational models were created using wall property data from the literature as well as patient-specific magnetic resonance imaging (MRI) and non-invasive hemodynamic data; for the mice, comparable models were created using population-based properties and hemodynamics as well as subject-specific anatomies. Global aortic hemodynamics and wall stiffness were compared between humans and mice across age groups. Results: For young adult subjects, we found differences between species in pulse pressure amplification, compliance and resistance distribution, and aortic stiffness gradient. We also found differences in response to aging between species. Generally, the human spatial gradients of stiffness and pulse pressure across the aorta diminished with age, while they increased for the mice. Conclusion: These results highlight key differences in vascular aging between human and mice, and it is important to acknowledge these when using mouse models for cardiovascular research.
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Affiliation(s)
- Sara E. Hopper
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Federica Cuomo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Jacopo Ferruzzi
- Department of Bioengineering, The University of Texas at Dallas, Richardson, TX, United States
| | - Nicholas S. Burris
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Sara Roccabianca
- Department of Mechanical Engineering, Michigan State University, East Lansing, MI, United States
| | - Jay D. Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT, United States
- Vascular Biology and Therapeutics Program, Yale University, New Haven, CT, United States
| | - C. Alberto Figueroa
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
- Department of Surgery, University of Michigan, Ann Arbor, MI, United States
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16
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Weiss D, Latorre M, Rego BV, Cavinato C, Tanski BJ, Berman AG, Goergen CJ, Humphrey JD. Biomechanical consequences of compromised elastic fiber integrity and matrix cross-linking on abdominal aortic aneurysmal enlargement. Acta Biomater 2021; 134:422-434. [PMID: 34332103 DOI: 10.1016/j.actbio.2021.07.059] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/07/2021] [Accepted: 07/23/2021] [Indexed: 12/25/2022]
Abstract
Abdominal aortic aneurysms (AAAs) are characterized histopathologically by compromised elastic fiber integrity, lost smooth muscle cells or their function, and remodeled collagen. We used a recently introduced mouse model of AAAs that combines enzymatic degradation of elastic fibers and blocking of lysyl oxidase, and thus matrix cross-linking, to study progressive dilatation of the infrarenal abdominal aorta, including development of intraluminal thrombus. We quantified changes in biomaterial properties and biomechanical functionality within the aneurysmal segment as a function of time of enlargement and degree of thrombosis. Towards this end, we combined multi-modality imaging with state-of-the art biomechanical testing and histology to quantify regional heterogeneities for the first time and we used a computational model of arterial growth and remodeling to test multiple hypotheses, suggested by the data, regarding the degree of lost elastin, accumulation of glycosaminoglycans, and rates of collagen turnover. We found that standard histopathological findings can be misleading, while combining advanced experimental and computational methods revealed that glycosaminoglycan accumulation is pathologic, not adaptive, and that heightened collagen deposition is ineffective if not cross-linked. In conclusion, loss of elastic fiber integrity can be a strong initiator of aortic aneurysms, but it is the rate and effectiveness of fibrillar collagen remodeling that dictates enlargement. STATEMENT OF SIGNIFICANCE: Precise mechanisms by which abdominal aortic aneurysms enlarge remain unclear, but a recent elastase plus β-aminopropionitrile mouse model provides new insight into disease progression. As in the human condition, the aortic degeneration and adverse remodeling are highly heterogeneous in this model. Our multi-modality experiments quantify and contrast the heterogeneities in geometry and biomaterial properties, and our computational modeling shows that standard histopathology can be misleading. Neither accumulating glycosaminoglycans nor frustrated collagen synthesis slow disease progression, thus highlighting the importance of stimulating adaptive collagen remodeling to limit lesion enlargement.
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Affiliation(s)
- D Weiss
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - M Latorre
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - B V Rego
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - C Cavinato
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - B J Tanski
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - A G Berman
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - C J Goergen
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - J D Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA.
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17
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Seddighi Y, Han HC. Buckling of Arteries With Noncircular Cross Sections: Theory and Finite Element Simulations. Front Physiol 2021; 12:712636. [PMID: 34483964 PMCID: PMC8414815 DOI: 10.3389/fphys.2021.712636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/01/2021] [Indexed: 11/17/2022] Open
Abstract
The stability of blood vessels is essential for maintaining the normal arterial function, and loss of stability may result in blood vessel tortuosity. The previous theoretical models of artery buckling were developed for circular vessel models, but arteries often demonstrate geometric variations such as elliptic and eccentric cross-sections. The objective of this study was to establish the theoretical foundation for noncircular blood vessel bent (i.e., lateral) buckling and simulate the buckling behavior of arteries with elliptic and eccentric cross-sections using finite element analysis. A generalized buckling equation for noncircular vessels was derived and finite element analysis was conducted to simulate the artery buckling behavior under lumen pressure and axial tension. The arterial wall was modeled as a thick-walled cylinder with hyper-elastic anisotropic and homogeneous material. The results demonstrated that oval or eccentric cross-section increases the critical buckling pressure of arteries and having both ovalness and eccentricity would further enhance the effect. We conclude that variations of the cross-sectional shape affect the critical pressure of arteries. These results improve the understanding of the mechanical stability of arteries.
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Affiliation(s)
- Yasamin Seddighi
- Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX, United States
| | - Hai-Chao Han
- Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX, United States
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18
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Humphrey JD. Constrained Mixture Models of Soft Tissue Growth and Remodeling - Twenty Years After. JOURNAL OF ELASTICITY 2021; 145:49-75. [PMID: 34483462 PMCID: PMC8415366 DOI: 10.1007/s10659-020-09809-1] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/29/2020] [Indexed: 05/06/2023]
Abstract
Soft biological tissues compromise diverse cell types and extracellular matrix constituents, each of which can possess individual natural configurations, material properties, and rates of turnover. For this reason, mixture-based models of growth (changes in mass) and remodeling (change in microstructure) are well-suited for studying tissue adaptations, disease progression, and responses to injury or clinical intervention. Such approaches also can be used to design improved tissue engineered constructs to repair, replace, or regenerate tissues. Focusing on blood vessels as archetypes of soft tissues, this paper reviews a constrained mixture theory introduced twenty years ago and explores its usage since by contrasting simulations of diverse vascular conditions. The discussion is framed within the concept of mechanical homeostasis, with consideration of solid-fluid interactions, inflammation, and cell signaling highlighting both past accomplishments and future opportunities as we seek to understand better the evolving composition, geometry, and material behaviors of soft tissues under complex conditions.
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Affiliation(s)
- J D Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520 USA
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19
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Ban E, Cavinato C, Humphrey JD. Differential propensity of dissection along the aorta. Biomech Model Mechanobiol 2021; 20:895-907. [PMID: 33464476 PMCID: PMC8159901 DOI: 10.1007/s10237-021-01418-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 01/04/2021] [Indexed: 12/13/2022]
Abstract
Aortic dissections progress, in part, by delamination of the wall. Previous experiments on cut-open segments of aorta demonstrated that fluid injected within the wall delaminates the aorta in two distinct modes: stepwise progressive tearing in the abdominal aorta and a more prevalent sudden mode of tearing in the thoracic aorta that can also manifest in other regions. A microstructural understanding that delineates these two modes of tearing has remained wanting. We implemented a phase-field finite-element model of the aortic wall, motivated in part by two-photon imaging, and found correlative relations for the maximum pressure prior to tearing as a function of local geometry and material properties. Specifically, the square of the pressure of tearing relates directly to both tissue stiffness and the critical energy of tearing and inversely to the square root of the torn area; this correlation explains the sudden mode of tearing and, with the microscopy, suggests a mechanism for progressive tearing. Microscopy also confirmed that thick interlamellar radial struts are more abundant in the abdominal region of the aorta, where progressive tearing was observed previously. The computational results suggest that structurally significant radial struts increase tearing pressure by two mechanisms: confining the fluid by acting as barriers to flow and increasing tissue stiffness by holding the adjacent lamellae together. Collectively, these two phase-field models provide new insights into the mechanical factors that can influence intramural delaminations that promote aortic dissection.
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Affiliation(s)
- Ehsan Ban
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
| | - Cristina Cavinato
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Jay D Humphrey
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
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20
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Humphrey JD. Mechanisms of Vascular Remodeling in Hypertension. Am J Hypertens 2020; 34:432-441. [PMID: 33245319 PMCID: PMC8140657 DOI: 10.1093/ajh/hpaa195] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/09/2020] [Accepted: 11/19/2020] [Indexed: 12/19/2022] Open
Abstract
Hypertension is both a cause and a consequence of central artery stiffening, which in turn is an initiator and indicator of myriad disease conditions and thus all-cause mortality. Such stiffening results from a remodeling of the arterial wall that is driven by mechanical stimuli and mediated by inflammatory signals, which together lead to differential gene expression and concomitant changes in extracellular matrix composition and organization. This review focuses on biomechanical mechanisms by which central arteries remodel in hypertension within the context of homeostasis-what promotes it, what prevents it. It is suggested that the vasoactive capacity of the wall and inflammatory burden strongly influence the ability of homeostatic mechanisms to adapt the arterial wall to high blood pressure or not. Maladaptation, often reflected by inflammation-driven adventitial fibrosis, not just excessive intimal-medial thickening, significantly diminishes central artery function and disturbs hemodynamics, ultimately compromising end organ perfusion and thus driving the associated morbidity and mortality. It is thus suggested that there is a need for increased attention to controlling both smooth muscle phenotype and inflammation in hypertensive remodeling of central arteries, with future studies of the often adaptive response of medium-sized muscular arteries promising to provide additional guidance.
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Affiliation(s)
- Jay D Humphrey
- Department of Biomedical Engineering, Vascular Biology and Therapeutics Program, Yale University, New Haven, Connecticut, USA,Correspondence: Jay D. Humphrey ()
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