Computational simulation of the adaptive capacity of vein grafts in response to increased pressure

Vein maladaptation, leading to poor long-term patency, is a serious clinical problem in patients receiving coronary artery bypass grafts (CABGs) or undergoing related clinical procedures that subject veins to elevated blood flow and pressure. We propose a computational model of venous adaptation to...

Full description

Saved in:
Bibliographic Details
Published inJournal of biomechanical engineering Vol. 137; no. 3
Main Authors Ramachandra, Abhay B, Sankaran, Sethuraman, Humphrey, Jay D, Marsden, Alison L
Format Journal Article
LanguageEnglish
Published United States 01.03.2015
Subjects
Online AccessGet more information

Cover

Loading…
Abstract Vein maladaptation, leading to poor long-term patency, is a serious clinical problem in patients receiving coronary artery bypass grafts (CABGs) or undergoing related clinical procedures that subject veins to elevated blood flow and pressure. We propose a computational model of venous adaptation to altered pressure based on a constrained mixture theory of growth and remodeling (G&R). We identify constitutive parameters that optimally match biaxial data from a mouse vena cava, then numerically subject the vein to altered pressure conditions and quantify the extent of adaptation for a biologically reasonable set of bounds for G&R parameters. We identify conditions under which a vein graft can adapt optimally and explore physiological constraints that lead to maladaptation. Finally, we test the hypothesis that a gradual, rather than a step, change in pressure will reduce maladaptation. Optimization is used to accelerate parameter identification and numerically evaluate hypotheses of vein remodeling.
AbstractList Vein maladaptation, leading to poor long-term patency, is a serious clinical problem in patients receiving coronary artery bypass grafts (CABGs) or undergoing related clinical procedures that subject veins to elevated blood flow and pressure. We propose a computational model of venous adaptation to altered pressure based on a constrained mixture theory of growth and remodeling (G&R). We identify constitutive parameters that optimally match biaxial data from a mouse vena cava, then numerically subject the vein to altered pressure conditions and quantify the extent of adaptation for a biologically reasonable set of bounds for G&R parameters. We identify conditions under which a vein graft can adapt optimally and explore physiological constraints that lead to maladaptation. Finally, we test the hypothesis that a gradual, rather than a step, change in pressure will reduce maladaptation. Optimization is used to accelerate parameter identification and numerically evaluate hypotheses of vein remodeling.
Author Marsden, Alison L
Sankaran, Sethuraman
Humphrey, Jay D
Ramachandra, Abhay B
Author_xml – sequence: 1
  givenname: Abhay B
  surname: Ramachandra
  fullname: Ramachandra, Abhay B
– sequence: 2
  givenname: Sethuraman
  surname: Sankaran
  fullname: Sankaran, Sethuraman
– sequence: 3
  givenname: Jay D
  surname: Humphrey
  fullname: Humphrey, Jay D
– sequence: 4
  givenname: Alison L
  surname: Marsden
  fullname: Marsden, Alison L
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25376151$$D View this record in MEDLINE/PubMed
BookMark eNo1j1tLAzEUhIMo9qIP_gHJH9iak81JN49StAoFX_S55HJWV_YSNtlC_7319jTzzcDALNh5P_TE2A2IFQDgHayUkEZIOGNzQFkVlUGYsUVKn0IAVEpcspnEcq0BYc7cZujilG1uht62PDXd1P4AH2qeP4jbYGNuDsS9jdY3-fhdHKjp-fto65z4yY2U4tAn4nk4oR_JJgo8nuI0jXTFLmrbJrr-0yV7e3x43TwVu5ft8-Z-V1iU61ygQm2tNsE4hOCVJld61FrV3kuqwTkSSpeKyhqFQGOCNkgYjHHSaV_KJbv93Y2T6yjs49h0djzu_8_KL3n4VuE
CitedBy_id crossref_primary_10_1016_j_cma_2023_116059
crossref_primary_10_1007_s10439_016_1628_0
crossref_primary_10_1097_MOP_0000000000000269
crossref_primary_10_1007_s12265_016_9706_0
crossref_primary_10_20517_2574_1209_2023_97
crossref_primary_10_1161_ATVBAHA_123_318239
crossref_primary_10_1016_j_jbiomech_2022_111165
crossref_primary_10_3390_cells6030019
crossref_primary_10_1115_1_4034873
crossref_primary_10_1016_j_tibtech_2017_08_008
crossref_primary_10_1038_s42003_021_02065_6
crossref_primary_10_1126_scitranslmed_aax6919
crossref_primary_10_1038_s44303_024_00014_6
crossref_primary_10_1007_s10659_020_09809_1
crossref_primary_10_1021_acsabm_0c00804
crossref_primary_10_1016_j_cma_2024_117259
crossref_primary_10_1007_s10898_019_00854_2
crossref_primary_10_1002_cnm_3545
crossref_primary_10_20517_2574_1209_97
crossref_primary_10_1007_s10237_017_0993_4
crossref_primary_10_1016_j_jmbbm_2015_09_017
crossref_primary_10_1007_s10439_018_2086_7
crossref_primary_10_1016_j_actbio_2022_09_040
crossref_primary_10_1007_s11081_020_09483_1
crossref_primary_10_1098_rsif_2016_0995
crossref_primary_10_1016_j_actbio_2022_08_029
crossref_primary_10_1063_5_0109400
crossref_primary_10_1016_j_medengphy_2019_08_007
crossref_primary_10_1002_wsbm_1642
ContentType Journal Article
DBID CGR
CUY
CVF
ECM
EIF
NPM
DOI 10.1115/1.4029021
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
DatabaseTitleList MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod no_fulltext_linktorsrc
Discipline Medicine
Engineering
Forestry
EISSN 1528-8951
ExternalDocumentID 25376151
Genre Research Support, U.S. Gov't, Non-P.H.S
Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: PHS HHS
  grantid: R01-RHL123689A
– fundername: NHLBI NIH HHS
  grantid: R01 HL129727
– fundername: NHLBI NIH HHS
  grantid: R01 HL123689
GroupedDBID ---
-~X
.DC
.GJ
29J
4.4
53G
5AI
5GY
6TJ
AAYJJ
ABJNI
ACBEA
ACGFO
ACGFS
ACKMT
ACXMS
ADPDT
AGNGV
AI.
ALEEW
ALMA_UNASSIGNED_HOLDINGS
CGR
CS3
CUY
CVF
EBS
ECM
EIF
EJD
F5P
H~9
L7B
NPM
P2P
RAI
RNS
RXW
TAE
TN5
UKR
VH1
WHG
ZE2
ID FETCH-LOGICAL-a527t-5456aa69d9b51dc46eb3c5664fcc2ef1bbe04634e3f500599d695e5d99b2b6c32
IngestDate Mon Jul 21 05:28:20 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-a527t-5456aa69d9b51dc46eb3c5664fcc2ef1bbe04634e3f500599d695e5d99b2b6c32
OpenAccessLink http://doi.org/10.1115/1.4029021
PMID 25376151
ParticipantIDs pubmed_primary_25376151
PublicationCentury 2000
PublicationDate 2015-Mar
PublicationDateYYYYMMDD 2015-03-01
PublicationDate_xml – month: 03
  year: 2015
  text: 2015-Mar
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Journal of biomechanical engineering
PublicationTitleAlternate J Biomech Eng
PublicationYear 2015
SSID ssj0011840
Score 2.2801824
Snippet Vein maladaptation, leading to poor long-term patency, is a serious clinical problem in patients receiving coronary artery bypass grafts (CABGs) or undergoing...
SourceID pubmed
SourceType Index Database
SubjectTerms Adaptation, Physiological
Algorithms
Animals
Biomechanical Phenomena
Blood Pressure
Blood Vessel Prosthesis
Computer Simulation
Mice
Vascular Remodeling
Veins - pathology
Veins - physiology
Title Computational simulation of the adaptive capacity of vein grafts in response to increased pressure
URI https://www.ncbi.nlm.nih.gov/pubmed/25376151
Volume 137
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9tAEF6FVkLlgFra8mip9sCtcvA63k32iKpWqGq4ABI3tM8SlThR7CDBn-AvM_uKQwQS5WKtvHZk-fu8mZmd-Qahg9zkAqx8mfXNgGWlKmnGKbUZYZpyzXJJfUuW4Qk7Pi9_X9CLTud-KWtp3siuunuyruQ1qMI5wNVVyf4HsosfhRMwBnzhCAjD8UUYh5YMKZxXj8axF1fa-BdaTH1qkIK_RBWTL27MqPr-dyZsU4diFp8k6ztojCpnQ9bGSwfUdRQbecJ29UX7rmbYQ2xaTcN222gs3LyehbitvBK3bYPnU1H9E7MYejXN1XwGl1erDAtJvLdtTvIQnPC4TB5d-9aJf5aDFoS2WVtdExfaYpANeBSbTStx0H-JlOs9s8I7MQzSBb-X56G4egnp6dhDXTiRGkJfMLsitp2m1tAauB2uj6oL_sRNKecMR3EqeIrDxTM4Qel434pz4o2Us_doMyKEjwJVPqCOqbbQxpLm5BZad81YXYc_GA5jYsVHJB9RCbdUwhOLgUo4UQknKrkJRyUcqIRhlKiEmwleUAknKn1C579-nv04zmL7jUzQot9kzrYWgnHNJSValczIngLrv7RKFcYSKY2TmytNz1Iv86MZp4ZqzmUhmeoVn9GbalKZHYT7mmqiLaEaPAQNy0PODOnnpRrYEkxMuYu2w2u7nAaNlcv0QveenfmC3rXM-oreWviozT5YiI385nF7AFCqanQ
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Computational+simulation+of+the+adaptive+capacity+of+vein+grafts+in+response+to+increased+pressure&rft.jtitle=Journal+of+biomechanical+engineering&rft.au=Ramachandra%2C+Abhay+B&rft.au=Sankaran%2C+Sethuraman&rft.au=Humphrey%2C+Jay+D&rft.au=Marsden%2C+Alison+L&rft.date=2015-03-01&rft.eissn=1528-8951&rft.volume=137&rft.issue=3&rft_id=info:doi/10.1115%2F1.4029021&rft_id=info%3Apmid%2F25376151&rft_id=info%3Apmid%2F25376151&rft.externalDocID=25376151