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Automated Evaluation of Microvascular Blood Flow and Oxygenation following Trauma and Hemorrhage in Rats
Author(s) -
Torres Filho Ivo P,
Barraza David,
Williams Charnae E,
Hildreth Kim,
Dubick Michael A
Publication year - 2019
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2019.33.1_supplement.525.1
Subject(s) - blood flow , biomedical engineering , oxygenation , medicine , cremaster muscle , anesthesia , microcirculation , nuclear medicine , cardiology
Studies evaluating blood flow and oxygen partial pressure (PO 2 ) may not directly measure both parameters and may depend on investigator's selection of measuring sites. In addition, relevant systemic parameters may not be simultaneously recorded. Therefore, we implemented a new automated system for blood flow and PO 2 acquisition in large tissue areas while collecting systemic information. In 10 animals anesthetized with isoflurane, cardio‐respiratory parameters were continuously recorded, in experiments lasting up to 4 h. Other data were collected at baseline, and after laparotomy and 30 min hemorrhage (40% of total blood volume). A cremaster muscle was spread over a thermostatically‐controlled pedestal fixed to a motorized stage. Sixteen noninvasive PO 2 measurements using oxygen‐dependent phosphorescence quenching and fiber‐optics were performed during a computer‐controlled tissue scan. In the same areas used for PO 2 measurements, microvascular blood flow was estimated employing laser speckle contrast imaging. Blood was sampled for extensive biochemistry and coagulation profiles. The system was used successfully by different operators. One set of flow and PO 2 measurements was completed in less than 90 s. Changes in muscle flow correlated with local PO 2 but several systemic parameters did not correlate with blood flow and PO 2 , emphasizing the importance of performing both local and systemic evaluations. System advantages include integration between local and multiple systemic parameters, unbiased data collection/analysis, easy implementation, improved performance, no need for customized programming, and simplified training compared to intravital microscopy. Support or Funding Information Supported by US Army Medical Research and Materiel Command. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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