Murine echocardiography of left atrium, aorta, and pulmonary artery

Alejandro Granillo, Celia A. Pena, Thuy Pham, Lavannya M. Pandit, George Taffet

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

The present methodology teaches the investigator how to measure and use the LAV as a surrogate of chronic elevations in Left Ventricular diastolic pressure through echocardiography, as well as to obtain measurements of the Aorta and PA diameter in mice. Mice older than 10 d of age can be analyzed using the present technique. The technique is composed of 3 main steps: set-up, image acquisition, and image analysis. The set-up step consists of getting the mouse anesthetized with 1% isoflurane, shaving it, and taping it in a supine position to a heated EKG board where the image acquisition will take place. The image acquisition step consists of learning to identify the cardiac structures and obtaining all the required images with its correspondent probe and axis in order to be able to calculate volumes and diameters. The image analysis step consists of measuring the previously acquired images with the aid of computer software. Advantages of the proposed technique include a fast (15 min) procedure that would allow the researcher to evaluate interventions in a noninvasive, non-terminal approach and therefore follow the same mouse over time; each mouse can be used as its own control. This fact plus having the same operator perform all the acquisition and analysis for the entire experiment minimizes the limitation of operator-dependency. The present methodology is useful for mouse researchers in cardiovascular and pulmonary medicine.

Original languageEnglish (US)
Article numbere55214
JournalJournal of Visualized Experiments
Volume2017
Issue number120
DOIs
StatePublished - Feb 20 2017

Keywords

  • Aging
  • Diastolic dysfunction
  • Echocardiography
  • Heart failure
  • Issue 120
  • Left atrium
  • Medicine
  • Murine
  • Non-invasive
  • Pulmonary artery
  • Pulmonary hypertension

ASJC Scopus subject areas

  • Neuroscience(all)
  • Chemical Engineering(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

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