Evaluating <i>in vivo</i> tissue stiffness of capillaries using Microbubbles Under an Ultrasound Field

Introduction: We developed a new technique to study in vivo biomechanical properties of capillaries using microbubbles (MBs), ultrasound, and high-speed microscopic imaging. We hypothesized that diabetes stiffens capillaries and that MB acoustic behaviors within capillaries will change as wall stiffness changes. Methods: Type 1 diabetes was induced in rats using streptozotocin. Cremaster muscle was externalized in anesthetized rats. Definity® was intra-arterially injected (40–60 μl boluses). Capillaries were imaged microscopically at 8–12 Mfps, during delivery of one 6–15 cycle ultrasound pulse [f = 1 MHz, PNP = 0.5–2.0 MPa]. Capillary and MB diameters were obtained from image analysis and power spectra were derived. Stress–strain curves were generated using normal stress exerted by MB (derived from the linearized Euler’s equation) and circumferential vessel Green strain. Results: MBs in diabetic capillaries (n = 3) displayed greater subharmonic/fundamental power ratio (p = 0.03) and ultraharmonic/fundamental power ratio (p = 0.01) compared with MBs in healthy capillaries (n = 28). Preliminary elastic modulus analysis (n = 9 control and n = 2 diabetic) showed estimated elastic moduli of 1.7 MPa for healthy and 2.2 MPa for diabetic capillaries. Conclusions: Our preliminary data suggest that the MB frequency spectrum under the US may differ in diabetic capillaries, which may provide a basis for a novel approach to diagnose microvascular disease.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0038151
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating in vivo tissue stiffness of capillaries using Microbubbles Under an Ultrasound Field

Spandan Maiti, Brandon Helfield, Sae Jang, Xucai Chen et al.
The Journal of the Acoustical Society of America
Ultrasound and Hyperthermia Applications
article

Evaluating in vivo tissue stiffness of capillaries using Microbubbles Under an Ultrasound Field

Spandan Maiti, Brandon Helfield, Sae Jang, Xucai Chen, Flordeliza S. Villanueva, Cheng Chen
article en

Abstract

Introduction: We developed a new technique to study in vivo biomechanical properties of capillaries using microbubbles (MBs), ultrasound, and high-speed microscopic imaging. We hypothesized that diabetes stiffens capillaries and that MB acoustic behaviors within capillaries will change as wall stiffness changes. Methods: Type 1 diabetes was induced in rats using streptozotocin. Cremaster muscle was externalized in anesthetized rats. Definity® was intra-arterially injected (40–60 μl boluses). Capillaries were imaged microscopically at 8–12 Mfps, during delivery of one 6–15 cycle ultrasound pulse [f = 1 MHz, PNP = 0.5–2.0 MPa]. Capillary and MB diameters were obtained from image analysis and power spectra were derived. Stress–strain curves were generated using normal stress exerted by MB (derived from the linearized Euler’s equation) and circumferential vessel Green strain. Results: MBs in diabetic capillaries (n = 3) displayed greater subharmonic/fundamental power ratio (p = 0.03) and ultraharmonic/fundamental power ratio (p = 0.01) compared with MBs in healthy capillaries (n = 28). Preliminary elastic modulus analysis (n = 9 control and n = 2 diabetic) showed estimated elastic moduli of 1.7 MPa for healthy and 2.2 MPa for diabetic capillaries. Conclusions: Our preliminary data suggest that the MB frequency spectrum under the US may differ in diabetic capillaries, which may provide a basis for a novel approach to diagnose microvascular disease.

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
University of Pittsburgh (US), UPMC Presbyterian (US), University of Pittsburgh Medical Center (US), Concordia University (CA)
Openalex Percentile: Top 82%
Ultrasound and Hyperthermia Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.