Evidence map›Paper›PMID 40196505›Full record

ArticlebioRxiv : the preprint server for biology2025

Temporal evolution of hemodynamics in murine arteriovenous fistula: a micro-CT based computational fluid dynamics study.

Lianxia Li, Unimunkh Uriyanghai, Christine Wai, Hong Yuan, Eric W Livingston, Edward M Bahnson, Vinay Sudarsanam, Samuel Haddad, Prabir Roy-Chaudhury, Boyce E Griffith and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Lianxia LiUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-3498-9438
Unimunkh UriyanghaiUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Christine WaiUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Hong YuanDepartment of Radiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Eric W LivingstonBiomedical Research Imaging Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Edward M BahnsonUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-8578-0517
Vinay SudarsanamUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Samuel HaddadUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Prabir Roy-ChaudhuryUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Boyce E GriffithCarolina Center for Interdisciplinary Applied Mathematics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Gang XiUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.

Funding

Multiscale Modeling of Clotting Risk in Atrial FibrillationU01HL143336 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRIFFITH, BOYCE EUGENE · 2018 to 2022
$2.8M
Modulation of VSMC phenotype through the Insulin Receptor Substrate-1/Kruppel-like factor-4 signal transduction pathway: a Novel Target for AVF DysfunctionR01DK132328 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PRABIR ROY-CHAUDHURY, Gang Xi · 2022 to 2026
$2.7M
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic ValvesR01HL157631 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FOGELSON, AARON L, GRIFFITH, BOYCE EUGENE · 2022 to 2025
$2.7M
Differential redox regulation of vein and arterial smooth muscle cells in AVF stenosisR56DK140967 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAHNSON, EDWARD M · 2024 to 2024
$200k
NHLBI NIH HHS R01 HL157631NHLBI NIH HHS U01 HL143336NIDDK NIH HHS R01 DK132328NIDDK NIH HHS R56 DK140967
6 · The paper itself

Abstract

In this study, we investigated the hemodynamic characteristics of arteriovenous fistulae (AVF) in murine models using micro-CT based computational fluid dynamics (CFD). By combining high-resolution micro-CT imaging with ultrasound flow measurements, our methodology offers a cost-effective and efficient alternative to traditional MRI-based approaches. CFD simulations performed at 7 and 21 days post-surgery revealed significant temporal changes in both geometry and hemodynamics. Geometric analysis showed that: the proximal artery diameter increased from 0.29 mm to 0.38 mm, while the initial 2 mm fistula segment showed a 21.6% decrease (0.74 mm to 0.58 mm). Blood flow through the AVF nearly doubled from 1.33 mL/min to 2.57 mL/min. Time-averaged wall shear stress (TAWSS) peak values increased from 142 Pa (day 7) within the proximal artery to 200 Pa (day 21), in the stenotic region. The oscillatory shear index (OSI) showed marked elevation at the anastomosis (increasing from 0.22 to 0.48), indicating disturbed flow development. An inverse relationship between TAWSS and OSI was identified consistent with previous studies. Our methodology demonstrates the capability to analyze relationships between early hemodynamics and subsequent geometric changes. This approach could enable identification of regions susceptible to stenosis development and monitoring of AVF maturation, which could ultimately lead to quantitative metrics to evaluate surgical outcomes and early therapeutic interventions.

Indexed as

Arteriovenous fistulaCross-temporal correlationHemodynamicsMicro-CT based CFDMurine modelOscillatory shear indexWall shear stress

Identifiers

PMID40196505
PMCPMC11974765

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.