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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2020.615507</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Experimental Myocardial Infarction Elicits Time-Dependent Patterns of Vascular Hypoxia in Peripheral Organs and in the Brain</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>David</surname> <given-names>H&#x000E9;l&#x000E8;ne</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1150176/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ughetto</surname> <given-names>Aurore</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gaudard</surname> <given-names>Philippe</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1173224/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Plawecki</surname> <given-names>Ma&#x000EB;lle</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1173158/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Paiyabhroma</surname> <given-names>Nitchawat</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1138014/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zub</surname> <given-names>Emma</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1143591/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Colson</surname> <given-names>Pascal</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1163520/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Richard</surname> <given-names>Sylvain</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/12171/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Marchi</surname> <given-names>Nicola</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/263442/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sicard</surname> <given-names>Pierre</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1109298/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>INSERM, CNRS, Universit&#x000E9; de Montpellier, PHYMEDEXP</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Anesthesiology and Critical Care Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<aff id="aff3"><sup>3</sup><institution>CHU Lapeyronie, D&#x000E9;partement de Biochimie</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<aff id="aff4"><sup>4</sup><institution>Cerebrovascular and Glia Research, Department of Neuroscience, Institute of Functional Genomics (UMR 5203 CNRS &#x02013; U 1191 INSERM, University of Montpellier)</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<aff id="aff5"><sup>5</sup><institution>Montpellier University, INSERM, CNRS, Institut de G&#x000E9;nomique Fonctionnelle</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<aff id="aff6"><sup>6</sup><institution>IPAM, BioCampus Montpellier, CNRS, INSERM, Universit&#x000E9; de Montpellier</institution>, <addr-line>Montpellier</addr-line>, <country>France</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Matteo Cameli, University of Siena, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: PierGiorgio Masci, King&#x00027;s College London, United Kingdom; Maria Concetta Pastore, Universit&#x000E0; del Piemonte Orientale, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Pierre Sicard <email>pierre.sicard&#x00040;inserm.fr</email>; <email>sicard123&#x00040;yahoo.fr</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Cardiovascular Imaging, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>01</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>7</volume>
<elocation-id>615507</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>10</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>12</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 David, Ughetto, Gaudard, Plawecki, Paiyabhroma, Zub, Colson, Richard, Marchi and Sicard.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>David, Ughetto, Gaudard, Plawecki, Paiyabhroma, Zub, Colson, Richard, Marchi and Sicard</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Aims:</bold> Microvascular alterations occurring after myocardial infarction (MI) may represent a risk factor for multi-organ failure. Here we used <italic>in vivo</italic> photoacoustic (PA) imaging to track and define the changes in vascular oxygen saturation (sO<sub>2</sub>) occurring over time after experimental MI in multiple peripheral organs and in the brain.</p>
<p><bold>Methods and Results:</bold> Experimental MI was obtained in BALB/c mice by permanent ligation of the left anterior descending artery. PA imaging (Vevo LAZR-X) allowed tracking mouse-specific sO<sub>2</sub> kinetics in the cardiac left ventricular (LV) anterior wall, brain, kidney, and liver at 4 h, 1 day, and 7 days post-MI. Here we reported a correlation between LV sO<sub>2</sub> and longitudinal anterior myocardial strain after MI (<italic>r</italic> = &#x02212;0.44, <italic>p</italic> &#x0003C; 0.0001, <italic>n</italic> = 96). Acute LV dysfunction was associated with global hypoxia, specifically a decrease in sO<sub>2</sub> level in the brain (&#x02212;5.9%), kidney (&#x02212;6.4%), and liver (&#x02212;7.3%) at 4 and 24 h post-MI. Concomitantly, a preliminary examination of capillary NG2DsRed pericytes indicated cell rarefication in the heart and kidney. While the cardiac tissue was persistently impacted, sO<sub>2</sub> levels returned to pre-MI levels in the brain and in peripheral organs 7 days after MI.</p>
<p><bold>Conclusions:</bold> Collectively, our data indicate that experimental MI elicits precise trajectories of vascular hypoxia in peripheral organs and in the brain. PA imaging enabled the synchronous tracking of oxygenation in multiple organs and occurring post-MI, potentially enabling a translational diagnostic modality for the identification of vascular modifications in this disease setting.</p></abstract>
<kwd-group>
<kwd>myocardial infarction</kwd>
<kwd>cardiogenic shock</kwd>
<kwd>hypoxia</kwd>
<kwd>cerebrovasculature</kwd>
<kwd>photoacoustic imaging</kwd>
<kwd>microcirculation</kwd>
<kwd>pericytes</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="12"/>
<word-count count="6469"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Tissular hypoxia following end-organ hypoperfusion after myocardial infarction (MI) is associated with cardiogenic shock incidence and elevated mortality (<xref ref-type="bibr" rid="B1">1</xref>). Despite the use of early coronary revascularization and the advances in cardiogenic shock treatment, the inability to rapidly restore regional tissular normoxia represents a critical factor impacting MI prognosis (<xref ref-type="bibr" rid="B2">2</xref>). Monitoring, as early as possible, organ-specific dynamics of hypoxia represents a candidate strategy to guide treatments and to timely identify high-risk patients (<xref ref-type="bibr" rid="B3">3</xref>). Currently, serum biomarkers like lactate are used to gauge global tissue perfusion. However, lactate is not specific to an organ, whereas microvascular perfusion is naturally heterogeneous (<xref ref-type="bibr" rid="B4">4</xref>). Recently, novel technologies are emerging to assess microcirculation at the patient&#x00027;s bedside (<xref ref-type="bibr" rid="B5">5</xref>). Continuous real-time monitoring of specific organ oxygenation is clinically relevant, and using near infrared spectroscopy (NIRS) was proposed to monitor hypoxia and to enable a guided therapy in shock patients (<xref ref-type="bibr" rid="B6">6</xref>). However, the spatio-temporal resolution of NIRS is proven to be insufficient (<xref ref-type="bibr" rid="B7">7</xref>). As a result, our understanding of the patterns of multi-organ hypoxia elicited in response to MI remains incomplete.</p>
<p>Overcoming current technological and knowledge stumbling blocks, we here used photoacoustic imaging (PAI), a hybrid technology based on the optical excitation of endogenous molecules by laser pulses, resulting in thermoelastic waves detected by high-resolution ultrasound (US) receivers (<xref ref-type="bibr" rid="B8">8</xref>). We tested the hypothesis that high-resolution PAI could detect time-dependent and synchronous organ-specific patterns of hypoxia elicited by experimental MI. We successfully generated a fusion of anatomical and molecular imaging data specifically exploiting hemoglobin to create a real-time vascular oxygen saturation (sO<sub>2</sub>) mapping of multiple organs. We report the varying hypoxia trajectories simultaneously unfolding in the heart, brain, kidney, and liver hours to days after MI. Finally, we performed an exploratory, qualitative examination of vascular cell modifications associated to post-MI hypoxia, focusing on NG2DsRed pericytes.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Experimental Model</title>
<p>Seventy male BALB/c mice of 8 weeks, weighing 25&#x02013;30 g, were randomly assigned to either sham surgery (sham <italic>n</italic> = 25) or MI group (<italic>n</italic> = 45) defined by left anterior descending coronary artery (LAD) ligation performed as described (<xref ref-type="bibr" rid="B9">9</xref>). Eight mice died in the MI group (18%) during the 7-day follow-up period (<xref ref-type="fig" rid="F1">Figure 1</xref>). No mice died in the sham group. All experimental procedures were conducted in accordance with the European Union Laboratory Animal Care Rules (2010/63/EU Directive) and were approved by the Animal Care and Use Committee of the University of Montpellier (no. 13129-2018011910135259). Based on previous statistical analysis, we used a minimum of animals in order to comply with the 3Rs principles. The mice were housed in a pathogen-free facility and handled in accordance with the principles and procedures outlined in the ARRIVE guidelines (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart showing the timeline and number of mice used in each group in the applied study design. Echocardiography and photoacoustic imaging were performed at 4 h, 1 day, and 7 days after surgery (<italic>n</italic> = 7&#x02013;28 per group). Mice were euthanized at three time points (4 h, day 1, and day 7) for blood collection (<italic>n</italic> = 5&#x02013;9 per group). For the NG2DsRed pericyte immunofluorescence experiment, mice were sacrificed 24 h after surgery (<italic>n</italic> = 3 per group).</p></caption>
<graphic xlink:href="fcvm-07-615507-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Echocardiography and Speckle Tracking Analysis</title>
<p>High-resolution echocardiography (Vevo-3100, VisualSonics/Fujifilm, with a 40-MHz MX550D ultrasound probe) was performed to assess left ventricular (LV) function (ejection fraction and longitudinal strain) at 4 h, 1 day, and 7 days after surgery according to the guidelines of the American Physiological Society as applied to mice after MI and by the European Society of Cardiology Working Group on Myocardial Function (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Echocardiography was performed under general anesthesia by 2% isoflurane inhalation, and the body temperature was 37&#x000B0;C. The ECG and respiratory rate were monitored. B-mode parasternal short-axis multiple views from apex to base were recorded to measure the LV ejection fraction (LVEF). After tracing endocardial end-diastolic and end-systolic areas, LV volumes were calculated by Simpson&#x00027;s method of disks, and LVEF was determined from the following formula: (end-diastolic LV volume - end-systolic LV volume)/(end-diastolic LV volume). Global and regional longitudinal strain analysis was performed under the parasternal long-axis view. Offline image analysis was performed using dedicated VisualSonics Vevolab 3.1.0 and Vevostrain software.</p>
</sec>
<sec>
<title>Photoacoustic Imaging</title>
<p>The Vevo LAZR-X (VisualSonics/Fujifilm) system was used in this study to generate the photoacoustic (PA) images in association with Vevo3100. PA images were obtained at 750- and 850-nm excitation wavelengths, with the array transducer of 20 MHz central frequency (MX250), due to maximal absorption of oxy- and deoxyhemoglobin at these wavelengths using the oxy-hemo mode to determine sO<sub>2</sub>. For the PA signal acquisition, the gain was set to 34 dB with 2D gain of 22 dB. A B-mode was also performed for colocalization of photoacoustic signals. Measurements were realized at 4 h, 1 day, and 7 days after surgery. In order to increase temporal and spatial resolution for myocardial anterior wall sO<sub>2</sub> measurement, we combined PA imaging with ECG-gated kilohertz visualization. Calculation of sO<sub>2</sub> was achieved offline with the VevoLAB software by selecting areas of interest (myocardial anterior wall, brain, liver, and kidney) in B-mode.</p>
</sec>
<sec>
<title>Blood Sample and Plasma Biomarker Dosage</title>
<p>After sacrificing the mice by dislocation, direct intracardiac puncture by thoracotomy was performed using 21 G (0.8 &#x000D7; 16 mm) needle (BD Microlance&#x000AE;) to obtain a maximum volume of blood as possible. Blood was collected in 2-ml heparinized tubes and centrifuged at 8,000 rpm at 5&#x000B0;C for 8 min. The supernatants were decanted, frozen in liquid nitrogen, and preserved at &#x02212;80&#x000B0;C until the time of assay. The plasma concentrations of lactate, creatinine, alanine amino transferase (ALAT), and aspartate amino transferase (ASAT) were determined using a Cobas 8000 analyzer (Roche Diagnostics, Meylan, France). The creatinine levels were measured with an IDMS traceable enzymatic method. ALAT and ASAT concentrations were performed according to the International Federation of Clinical Chemistry, without pyridoxal phosphate activation.</p>
</sec>
<sec>
<title>NG2DsRed Pericyte Immunofluorescence and Quantification</title>
<p>We used an additional set of C57BL/6j (<xref ref-type="bibr" rid="B13">13</xref>) to visualize and quantify NG2DsRed pericytes in the heart, brain, kidney, and liver. Tissue sections (30 &#x003BC;m) were obtained using a vibratome and rinsed with phosphate-buffered saline (PBS). Blood&#x02013;brain barrier damage was assessed as described previously (<xref ref-type="bibr" rid="B14">14</xref>). Briefly, a solution containing sodium fluorescein (F6377, Sigma) was prepared immediately before the experiments (50 mg/ml in PBS). Each mouse was injected (i.v., 50 &#x003BC;l for a 25-g mouse) and sacrificed 2 h later. The mice were perfused intracardially using cold PBS, and the brains were post-fixed in 4% paraformaldehyde for 2 days.</p>
<p>Fluorescent images (DAPI, fluorescein, and NG2DsRed) were obtained as mosaic maps (&#x000D7;10) of whole tissue sections of the heart, brain, kidney, and liver. The images were acquired using a Zeiss epifluorescence microscope. The images were modulated in red, green, and blue RGB color/RGB Zstack format type. Fluorescence signal area was calculated for each image, expressed as a percentage of total area, and quantified using Fiji/ImageJ 1.52p software.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Results are expressed as mean &#x000B1; SEM. Single comparisons between two independent means were made using Student&#x00027;s <italic>t</italic> test or Mann&#x02013;Whitney test as appropriate. The correlations between echocardiography parameters, plasma biomarkers, and PAI were statistically evaluated using Pearson&#x00027;s correlation tests. Statistical significance was considered at <italic>p</italic> &#x0003C; 0.05; the <italic>p</italic> values were two-tailed. Analyses were performed using GraphPad Prism 6 software.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Left Ventricular Dysfunction Correlated With Myocardial sO<sub>2</sub> Level</title>
<p>LV function, assessed by global longitudinal strain analysis (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>), was reduced 4 h post-MI (<italic>p</italic> &#x0003C; 0.001). These alterations persisted at 1 day (<italic>p</italic> &#x0003C; 0.001) and 7 days (<italic>p</italic> = 0.01) post-MI. The LVEF followed similar kinetics (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1A</xref>), while the heart rate (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1B</xref>) was comparable between groups over time.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Cardiac function and myocardial oxygen saturation (sO<sub>2</sub>) after acute myocardial infarction. <bold>(A)</bold> Global longitudinal strain analysis at 4 h, day 1, and day 7 after surgery in the sham and myocardial infarction (MI) groups. <bold>(B)</bold> Representative 3D myocardial strain in sham and MI animals. Scale vertical bar: 10%. <bold>(C)</bold> Variation of myocardial anterior wall sO<sub>2</sub> in the sham and MI groups at 4 h (<italic>n</italic> = 14 and 28 mice, respectively), day 1 (<italic>n</italic> = 15 and 26 mice, respectively), and day 7 (<italic>n</italic> = 10 and 16 mice, respectively) after surgery. <bold>(D)</bold> Representative B mode echocardiography parasternal long-axis view to define the left ventricular anterior wall (yellow area) and photoacoustic mode with color scaling to show areas of high oxygen saturation in red and low saturation in blue in sham and MI mice. The red arrows shows unspecific PA reverberation artifacts. <bold>(E)</bold> Pearson correlation between anterior wall myocardial sO<sub>2</sub> and left ventricular anterior wall longitudinal strain (<italic>n</italic> = 96). <bold>(F)</bold> Pearson correlation between anterior wall myocardial sO<sub>2</sub> and left ventricular ejection fraction (<italic>n</italic> = 107). Results are expressed as mean &#x000B1; SEM. Experimental groups were compared using Student&#x00027;s <italic>t</italic> test or Mann&#x02013;Whitney test as appropriate. &#x0002A;<italic>p</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01; &#x0002A;&#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.001 sham vs. MI.</p></caption>
<graphic xlink:href="fcvm-07-615507-g0002.tif"/>
</fig>
<p>Next, we tested the ability of PAI to detect sO<sub>2</sub> changes in the anterior wall after LAD occlusion (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>). A decrease in sO<sub>2</sub> level occurred in the LV anterior wall t 4 h (sham 61.8 &#x000B1; 2.1%, <italic>n</italic> = 14; MI: 44.3 &#x000B1; 2.2% <italic>n</italic> = 28; <italic>p</italic> &#x0003C; 0.001), 1 day (sham: 57.3 &#x000B1; 2.6%, <italic>n</italic> = 15; MI: 48.9 &#x000B1; 2.8%, <italic>n</italic> = 26; <italic>p</italic> &#x0003C; 0.01), and 7 days (sham: 69.0 &#x000B1; 3.5%, <italic>n</italic> = 10; MI: 57.6 &#x000B1; 4.0%, <italic>n</italic> = 16; <italic>p</italic> &#x0003C; 0.05) after LAD ligation (<xref ref-type="fig" rid="F2">Figure 2C</xref>). A correlation between LV sO<sub>2</sub> and LV anterior wall longitudinal strain was found at 4 h (<italic>r</italic> = &#x02212;0.43, <italic>p</italic> &#x0003C; 0.01; <italic>n</italic> = 38) (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2A</xref>), at day 1 (<italic>r</italic> = &#x02212;0.41, <italic>p</italic> &#x0003C; 0.01; <italic>n</italic> = 36) (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2B</xref>), and at day 7 (<italic>r</italic> = &#x02212;0.48, <italic>p</italic> = 0.02; <italic>n</italic> = 22) (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2C</xref>). This was also verified when we pooled all data together (<xref ref-type="fig" rid="F2">Figure 2E</xref>). In addition, a correlation between LV sO<sub>2</sub> and EF existed in the pooled data (<xref ref-type="fig" rid="F2">Figure 2F</xref>) at 4 h (<italic>r</italic> = &#x02212;0.50, <italic>p</italic> &#x0003C; 0.001; <italic>n</italic> = 42) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3A</xref>) and at day 1 (<italic>r</italic> = &#x02212;0.51, <italic>p</italic> &#x0003C; 0.001, <italic>n</italic> = 41) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3B</xref>), but not at day 7 (<italic>r</italic> = 0.27, <italic>p</italic> = 0.19; <italic>n</italic> = 24) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Figure 3C</xref>). Taken together, these results indicate that PAI is able to detect and track hypoxia in the LV anterior wall after MI.</p>
</sec>
<sec>
<title>Vascular Hypoxia in Peripheral Organs and the Brain After Acute MI</title>
<p>Subsequentially, we tested the hypothesis that acute cardiac dysfunction after MI would induce multi-organ vascular hypoxia. We combined high-resolution ultrasound and PAI to localize and quantify sO<sub>2</sub> in the brain, kidney, and liver in sham and MI animals. Examples of high-resolution US/PAI images are provided in <xref ref-type="fig" rid="F3">Figures 3B,D,F</xref>. Photoacoustic mapping outlined an early decrease in sO<sub>2</sub> level after MI, compared to sham, by &#x02212;5.9% in the whole brain (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>), &#x02212;6.4% in the kidney (<xref ref-type="fig" rid="F3">Figures 3C,D</xref>), and &#x02212;7.3% in the liver (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>) at 4 h post-MI. Next, we tested the hypothesis that the level of cardiac dysfunction after MI, measured either by LVEF or global longitudinal strain, would correlate with vascular oxygen desaturation of specific organs. A significant correlation existed between brain sO<sub>2</sub> level and LVEF (<xref ref-type="fig" rid="F4">Figure 4A</xref>) and global longitudinal strain (<xref ref-type="fig" rid="F4">Figure 4B</xref>). LVEF and global longitudinal strain were significantly correlated with renal sO<sub>2</sub> level (<xref ref-type="fig" rid="F4">Figures 4C,D</xref>). In addition, we observed a positive correlation between cardiac dysfunction and liver sO<sub>2</sub> level (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>). Collectively, these results outline the global and varying oxygen dynamics occurring in response to MI, correlating to cardiac dysfunction.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Cerebral and peripheral organ oxygen saturation (sO<sub>2</sub>) level assessed by photoacoustic secondary to myocardial infarction (MI). <bold>(A)</bold> Variation of cerebral sO<sub>2</sub> in the sham and MI groups at 4 h (<italic>n</italic> = 12 and 20 mice, respectively), day 1 (<italic>n</italic> = 12 and 20 mice, respectively), and day 7 (<italic>n</italic> = 6 and 9 mice, respectively) after surgery. <bold>(B)</bold> Representative 3D cerebral photoacoustic images with color scaling to show areas of high oxygen saturation in red and low saturation in blue in sham and MI mice. <bold>(C)</bold> Variation of renal sO<sub>2</sub> in the sham and MI groups at 4 h (<italic>n</italic> = 14 and 20 mice, respectively), day 1 (<italic>n</italic> = 12 and 20 mice, respectively), and day 7 (<italic>n</italic> = 7 and 9 mice, respectively) after surgery. <bold>(D)</bold> Representative B mode abdominal ultrasound to define the kidney (yellow area) and photoacoustic mode with color scaling to show areas of high oxygen saturation in red and low saturation in blue in sham and MI mice. <bold>(E)</bold> Variation of hepatic sO<sub>2</sub> in the sham and MI groups at 4 h (<italic>n</italic> = 14 and 20 mice, respectively), day 1 (<italic>n</italic> = 12 and 20 mice, respectively), and day 7 (<italic>n</italic> = 7 and 9 mice, respectively) after surgery. <bold>(F)</bold> Representative B mode abdominal ultrasound to define the liver (yellow area) and photoacoustic mode with color scaling to show areas of high oxygen saturation in red and low saturation in blue in sham and MI mice. Results are expressed as mean &#x000B1; SEM. Experimental groups were compared using Student&#x00027;s <italic>t</italic> test or Mann&#x02013;Whitney test as appropriate. &#x0002A;<italic>p</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01; sham vs. MI.</p></caption>
<graphic xlink:href="fcvm-07-615507-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Pearson correlation between left ventricular ejection fraction (LVEF) or global longitudinal strain and sO<sub>2</sub> organ mapping. <bold>(A)</bold> Pearson correlation between LVEF and cerebral sO<sub>2</sub> (<italic>n</italic> = 80). <bold>(B)</bold> Pearson correlation between global longitudinal strain and cerebral sO<sub>2</sub> (<italic>n</italic> = 69). <bold>(C)</bold> Pearson correlation between LVEF and renal sO<sub>2</sub> (<italic>n</italic> = 81). <bold>(D)</bold> Pearson correlation between global longitudinal strain and renal sO<sub>2</sub> (<italic>n</italic> = 69). <bold>(E)</bold> Pearson correlation between LVEF and hepatic sO<sub>2</sub> (<italic>n</italic> = 81). <bold>(F)</bold> Pearson correlation between global longitudinal strain and hepatic sO<sub>2</sub> (<italic>n</italic> = 69).</p></caption>
<graphic xlink:href="fcvm-07-615507-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Hypoxic Tissue Mapping Positively Correlated With Blood Biomarkers of Organ Dysfunction</title>
<p>The circulatory levels of clinically relevant organ dysfunction biomarkers (lactate, creatinine, ASAT, and ALAT) were measured at each time point (<xref ref-type="fig" rid="F5">Figure 5</xref>). The kinetic of lactate showed a significant increase at 7 days post-MI (<xref ref-type="fig" rid="F5">Figure 5A</xref>). Renal function was assessed by measuring the creatinine level. Creatinemia was increased at 4 h post-MI compared to sham animal and did not return to normal level at 7 days post-MI (<xref ref-type="fig" rid="F5">Figure 5B</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Plasmatic biomarker kinetics after acute myocardial infarction (MI) in mice. <bold>(A)</bold> Variation of lactate in the sham and MI groups (<italic>n</italic> = 6 and 9 mice, respectively) at 4 h, day 1, and day 7 after surgery. <bold>(B)</bold> Variation of creatinemia in the sham and MI groups (<italic>n</italic> = 6 and 9 mice, respectively) at 4 h, day 1, and day 7 after surgery. <bold>(C)</bold> Variation of ASAT in the sham and MI groups (<italic>n</italic> = 6 and 9 mice, respectively) at 4 h, day 1, and day 7 after surgery. <bold>(D)</bold> Variation of alanine amino transferase in the sham and MI groups (<italic>n</italic> = 6 and 9 mice, respectively) at 4 h, day 1, and day 7 after surgery. Results are expressed as mean &#x000B1; SEM. Experimental groups were compared using Mann&#x02013;Whitney test. &#x0002A;<italic>p</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01; sham vs. MI.</p></caption>
<graphic xlink:href="fcvm-07-615507-g0005.tif"/>
</fig>
<p>The blood levels of hepatic cytotoxic biomarkers ASAT and ALAT were elevated 4 h post-MI as compared to sham and then decreased at day 1, returning to baseline levels at 7 days (<xref ref-type="fig" rid="F5">Figures 5C,D</xref>). The kinetic of creatinine (<xref ref-type="fig" rid="F6">Figure 6A</xref>), ASAT (<xref ref-type="fig" rid="F6">Figure 6B</xref>) and ALAT (<xref ref-type="fig" rid="F6">Figure 6C</xref>) correlated to kidney and liver modifications of sO<sub>2</sub> at 4 h. However, no correlation existed between the organs&#x00027; sO<sub>2</sub> and lactate (<xref ref-type="supplementary-material" rid="SM6">Supplementary Figure 6</xref>). In general, LV dysfunction post-MI is associated with an increase in biomarkers of organ dysfunction.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Correlations between plasmatic biomarkers and organ sO<sub>2</sub> mapping at 4 h after surgery in mice. <bold>(A)</bold> Pearson correlation between renal sO<sub>2</sub> and creatininemia (<italic>n</italic> = 9). <bold>(B)</bold> Pearson correlation between hepatic sO<sub>2</sub> and aspartate amino transferase (<italic>n</italic> = 9). <bold>(C)</bold> Pearson correlation between hepatic sO<sub>2</sub> and alanine amino transferase (<italic>n</italic> = 9). sO<sub>2</sub>, oxygen saturation assessed by photoacoustic imaging.</p></caption>
<graphic xlink:href="fcvm-07-615507-g0006.tif"/>
</fig>
</sec>
<sec>
<title>Histological Signs of Vascular Dysfunction: A Preliminary Focus on Capillary Pericytes</title>
<p>Pericytes are a type of mural cell partaking to structural and functional vascular properties. Pericytes are extremely sensitive to hypoxia as it elicits during peripheral and brain pathologies (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Here we specifically used C57BL/6j NG2DsRed mice to histologically assess pericyte modifications elicited after acute MI in cardiac, cerebral, renal, and hepatic tissues (<xref ref-type="fig" rid="F7">Figure 7</xref>). Our initial explorations unveiled a decrease in cardiac and renal NG2DsRed pericytes 24 h post-MI as compared to sham (<xref ref-type="fig" rid="F7">Figures 7A&#x02013;C,G&#x02013;I</xref>). Under these experimental conditions, we did not observe global cell modifications in the brain and the liver (<xref ref-type="fig" rid="F7">Figures 7D&#x02013;F,J&#x02013;L</xref>). Our results indicate that LAD ligation induces global, but transient, hypoxia that is sufficient to promote pericyte modifications in the heart and kidney.</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>NG2DsRed pericyte fluorescence and comparison between sham and myocardial infarction (MI). <bold>(A)</bold> Representative myocardial fluorescence images of nuclei (DAPI), NG2DdRed pericytes in sham and MI 24 h after surgery. <bold>(B)</bold> Myocardial fluorescence intensity quantification of NG2DdRed pericytes in sham and MI. <bold>(C)</bold> Myocardial area measurement in each group. <bold>(D)</bold> Representative brain fluorescence images of nuclei (DAPI), NG2DdRed pericytes in sham, and MI 24 h after surgery. <bold>(E)</bold> Brain fluorescence intensity quantification of NG2DdRed pericytes in sham and MI. <bold>(F)</bold> Brain area measurement in each group. <bold>(G)</bold> Representative renal fluorescence images of nuclei (DAPI), NG2DdRed pericytes in sham, and MI 24 h after surgery. <bold>(H)</bold> Renal fluorescence intensity quantification of NG2DdRed pericytes in sham and MI. <bold>(I)</bold> Renal area measurement in each group. <bold>(J)</bold> Representative hepatic fluorescence images of nuclei (DAPI), NG2DdRed pericytes in sham, and MI 24 h after surgery. <bold>(K)</bold> Hepatic fluorescence intensity of NG2DdRed pericytes in sham and MI. <bold>(L)</bold> Hepatic area measurement in each group. Sham: <italic>n</italic> = 3 and myocardial infarction MI: <italic>n</italic> = 3. Results are expressed as mean &#x000B1; SEM. Experimental groups were compared using Student&#x00027;s <italic>t</italic> test. &#x0002A;<italic>p</italic> &#x0003C; 0.05 sham vs. MI. Scale: 100 &#x003BC;m.</p></caption>
<graphic xlink:href="fcvm-07-615507-g0007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our pre-clinical study discloses the multi-organ and brain trajectories of vascular oxygenation unfolding <italic>in vivo</italic> consequent to experimental MI. We report here that: (i) LAD ligation in mice induced an early and transient decrease of sO<sub>2</sub> in the brain, kidney, and liver, (ii) oxygenation was significantly correlated with LV dysfunction as assessed by regional strain analysis and LVEF after acute MI, (iii) sO<sub>2</sub> level was correlated with blood biomarkers (creatinine, ASAT, and ALAT), and (iv) pericytes could represent one possible entry point for further studying the multi-organ vascular dysfunctions elicited in this disease settings. In summary, the use of non-invasive PAI enabled a robust and time-dependent sO<sub>2</sub> mapping in peripheral organs and the brain after MI.</p>
<sec>
<title>Multiple Organ Dysfunction Post-MI: Experimental and Clinical Values</title>
<p>The pathophysiology behind multiple-organ injury during acute MI is poorly understood as innovative imaging modalities for vascular read-outs lagged behind. Primarily, we successfully validated PAI by detecting oxygenation decrease in the anterior wall following myocardial ischemia. Importantly, the anterior wall remodeling process after MI is dynamic. After cardiomyocyte necrosis, fibroblasts and immune cells are infiltrated into the infarction and border area within the first 7 days after MI. Extensive endothelial cell plasticity was recently described as a novel circulatory system in which new vessels develop from the endocardium of the left ventricle to perfuse the hypoxic area and recover damaged cardiomyocytes after MI (<xref ref-type="bibr" rid="B17">17</xref>). We assume that the increased oxygen saturation of the anterior wall is due to this mechanism.</p>
<p>To our knowledge, this is the first preclinical study showing a correlation between non-cardiac oxygenation level and LV dysfunction after acute MI. Our results are coherent with the notion of pericyte loss in response to hypoxia, mechanical stress (<xref ref-type="bibr" rid="B18">18</xref>), or increased oxidative stress (<xref ref-type="bibr" rid="B19">19</xref>), all occurring during and after MI (<xref ref-type="bibr" rid="B20">20</xref>). Hypoxic signaling pathways lead to contraction of the pericytes, causing constriction of the capillaries (<xref ref-type="bibr" rid="B21">21</xref>&#x02013;<xref ref-type="bibr" rid="B23">23</xref>), followed by death of pericytes in rigor which prevents subsequent capillary dilation (<xref ref-type="bibr" rid="B24">24</xref>). These mechanisms can induce vessel permeability, a remodeling process, and a rapid decay in capillary density (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Here we report brain desaturation occurring as early as at 4 h post-MI and persisting at 1 day, before returning to control levels at 7 days. The transient oxygen desaturation occurring in these experimental conditions did not impact the gross morphology of mural cells. As a corollary, cerebrovascular permeability was preserved at day 1 after MI as indicated by the lack of intravenously injected fluorescein into the brain parenchyma (data not shown). However, these explorations were very limited, and they should be integrated with more in-depth analyses. Interestingly, recent data indicated that mild and transitory cerebrovascular hypoxia, detected by PAI, may contribute to long-term and negative neurological sequelae (<xref ref-type="bibr" rid="B14">14</xref>). A recent translational study demonstrated, using non-invasive positron emission tomography, that MI leads to a late neuro-inflammatory response (<xref ref-type="bibr" rid="B26">26</xref>). Thus, cerebral hypoxia after MI could trigger neuroinflammation and possibly neurological dysfunction in the long term.</p>
</sec>
<sec>
<title>PA Technology as a New Modality to Define Hypoxia Trajectories</title>
<p>Alterations in the microcirculation are a pathophysiological hallmark in cardiac failure, especially in cardiogenic shock, and a central feature of organ failure. The coexistence of cardiac dysfunction and multi-organ failure are recognized as a marker of poor prognosis in cardiogenic shock patients (<xref ref-type="bibr" rid="B1">1</xref>). Assessment of the peripheral microcirculation and hypoxic status in acute heart failure patients is recommended in the current guidelines (<xref ref-type="bibr" rid="B27">27</xref>). Here we integrated and cross-compared our PAI results with biomarkers of renal dysfunction and liver cytolysis. A correlation between biomarker levels and sO<sub>2</sub> was established for creatinine, ASAT, and ALAT. However, lactate elevation in this mouse model of MI failed to correlate with the measurement of PAI oxygenation. This discrepancy could be explained by the fact that, in our mouse MI model, the oxygenation levels of the major organ levels were only 7% lower than sham. Notwithstanding, the currently used blood biomarkers are not organ specific, and hypoperfusion is not the only underlying cause for the elevation in lactate, but reveals a much more holistic picture for patients (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>In our study, the fusion of anatomical and molecular imaging reveals mild and early hypoxic status in individual organs with great precision. An array of techniques can be used to evaluate microcirculatory modifications in disease settings. Direct methods include capillaroscopy (nail-fold), laser Doppler, and intravital microscopy (<xref ref-type="bibr" rid="B7">7</xref>). Indirect indicators are blood pressure, central venous pressure, capillary refill, mottling score, mixed-venous and central venous oxygen saturation (SvO<sub>2</sub>/ScvO<sub>2</sub>), contrast ultrasound and echocardiography, measurement for O<sub>2</sub> saturation with NIRS, gas tomography, veno-arterial CO<sub>2</sub> gradient, and vascular occlusion test with NIRS or Doppler laser (<xref ref-type="bibr" rid="B7">7</xref>). Except for SvO<sub>2</sub>/ScvO<sub>2</sub> and lactate, none of these techniques are routinely used in clinical practice. They are not sufficient to guide therapy in critically ill patients because of the lack of organ specificity, the limited availability in clinical practice, offline analysis, and the lack of automated analysis system without any specific scoring systems (<xref ref-type="bibr" rid="B29">29</xref>). The combination of high-resolution US and PA systems allowed a clear identification of anatomical structures and molecular imaging and provided valuable functional information about the degree of tissue oxygenation. Gerling et al. (<xref ref-type="bibr" rid="B30">30</xref>) assessed hypoxia and tumor blood flow in murine models of pancreatic and colon cancer and reported a positive correlation of PAI data with immuno-histochemical signs of hypoxia.</p>
<p>PA imaging technology has demonstrated great potential for clinical translation. Recently, PA was used on pretransplant human kidney to assess collagen and fibrosis content in order to determine organ quality before transplantation (<xref ref-type="bibr" rid="B31">31</xref>). In addition, early diagnosis of breast and prostate cancer (<xref ref-type="bibr" rid="B32">32</xref>&#x02013;<xref ref-type="bibr" rid="B34">34</xref>) and melanoma (<xref ref-type="bibr" rid="B35">35</xref>) and detection of tumor metastases (<xref ref-type="bibr" rid="B36">36</xref>) were obtained using PA imaging directly in patients. Despite the major advantages to use this non-ionizing and non-invasive technique to detect molecular and anatomical defects in patients, some technical limitation remains a brake for its routine clinical use. PA imaging performance is limited by several technical and anatomical issues. One limitation of current PAI systems is the limited penetration depth. In our study, we combined nanosecond laser with a high-frequency ultrasound probe (20 MHz), resulting in 2-cm-depth PAI images. The use of a lower-frequency US probe and higher laser energy is a realistic option to improve applicability. We believe that with continued technological development and higher laser energy, the system holds considerable promise for use in clinical cases. Other possibilities to extend this technique to clinical use are the miniaturization of the probes for intracavitary imaging with a mini-invasive approach and developing peroperative exploitation (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>In conclusion, post-MI heart failure generates distinct and time-dependent trajectories of hypoxia in multiple organs and in the brain, detectable <italic>in vivo</italic> by using non-invasive and non-ionizing PAI technology. If further perfected, this emerging imaging modality could be applied to an array of clinical settings, and it could be used to evaluate early microvascular therapeutics.</p>
</sec>
</sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Animal Care and Use Committee of the University of Montpellier (No. 13129-2018011910135259).</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>HD and PS planned the experiments and prepared the manuscript, performed statistical analysis and created manuscript figures. HD, AU, and PS performed the experiments and processed the data, processed and analyzed the imaging data. MP, NP, and EZ contributed to the experiments. HD, PG, PC, SR, NM, and PS edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack><p>We gratefully thank the staff for animal housing (PhyMedExp) and Imagerie du Petit Animal de Montpellier (IPAM) for access to high-resolution ultrasound and photoacoustic imaging.</p>
</ack>
<sec sec-type="supplementary-material" id="s8">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2020.615507/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2020.615507/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 1</label>
<caption><p>Evaluation of left ventricular ejection fraction <bold>(A)</bold> and heart rate <bold>(B)</bold> by high-resolution ultrasound in the sham and myocardial infarction (MI) groups at 4 h (<italic>n</italic> = 16 and 32 mice, respectively), day 1 (<italic>n</italic> = 15 and 27 mice, respectively), and day 7 (<italic>n</italic> = 8 and 16 mice, respectively) after surgery. <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.01; <sup>&#x0002A;&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001; sham vs. MI.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image_2.TIF" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 2</label>
<caption><p>Pearson correlation between anterior wall myocardial sO<sub>2</sub> and anterior longitudinal strain <bold>(A)</bold> at 4 h (<italic>n</italic> = 38), <bold>(B)</bold> at day 1 (<italic>n</italic> = 36), and <bold>(C)</bold> at day 7 after surgery in the sham and myocardial infarction groups.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image_3.TIF" id="SM3" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 3</label>
<caption><p>Pearson correlation between anterior wall myocardial sO<sub>2</sub> and left ventricular ejection fraction <bold>(A)</bold> at 4 h (<italic>n</italic> = 42), <bold>(B)</bold> at day 1 (<italic>n</italic> = 41), and <bold>(C)</bold> at day 7 (<italic>n</italic> = 24) after surgery in the sham and myocardial infarction groups.</p></caption></supplementary-material>
<supplementary-material xlink:href="Image_4.TIF" id="SM4" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 4</label>
<caption><p>Pearson correlation between left ventricular ejection fraction and sO<sub>2</sub> organs mapping <bold>(A&#x02013;C)</bold> in the brain at 4 h <bold>(A)</bold> (<italic>n</italic> = 35), day 1 <bold>(B)</bold> (<italic>n</italic> = 32), and day 7 <bold>(C)</bold> (<italic>n</italic> = 13); <bold>(D,E)</bold> in the kidney at 4 h <bold>(D)</bold> (<italic>n</italic> = 35), day 1 <bold>(E)</bold> (<italic>n</italic> = 32), and day 7 <bold>(F)</bold> (<italic>n</italic> = 14), and <bold>(G,H)</bold> in the liver at 4 h <bold>(G)</bold> (<italic>n</italic> = 35), day 1 <bold>(H)</bold> (<italic>n</italic> = 32), and day 7 <bold>(I)</bold> (<italic>n</italic> = 14).</p></caption></supplementary-material>
<supplementary-material xlink:href="Image_5.TIF" id="SM5" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 5</label>
<caption><p>Pearson correlation between global longitudinal strain and sO<sub>2</sub> organ mapping <bold>(A&#x02013;C)</bold> in the brain at 4 h <bold>(A)</bold> (<italic>n</italic> = 31), day 1 <bold>(B)</bold> (<italic>n</italic> = 26), and day 7 <bold>(C)</bold> (<italic>n</italic> = 12); <bold>(D&#x02013;F)</bold> in the kidney at 4 h <bold>(D)</bold> (<italic>n</italic> = 31), day 1 <bold>(E)</bold> (<italic>n</italic> = 26), and day 7 <bold>(F)</bold> (<italic>n</italic> = 12) and <bold>(G&#x02013;I)</bold> in the liver at 4 h <bold>(G)</bold> (<italic>n</italic> = 31), day 1 <bold>(H)</bold> (<italic>n</italic> = 26), and day 7 <bold>(I)</bold> (<italic>n</italic> = 12).</p></caption></supplementary-material>
<supplementary-material xlink:href="Image_6.TIF" id="SM6" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Supplementary Figure 6</label>
<caption><p>Pearson correlation between lactate and sO<sub>2</sub> organ mapping at 4 h post-myocardial infarction. <bold>(A)</bold> in the myocardial anterior wall, <bold>(B)</bold> in the brain, <bold>(C)</bold> in the kidney and <bold>(D)</bold> in the liver (<italic>n</italic> = 15).</p></caption></supplementary-material>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vallabhajosyula</surname> <given-names>S</given-names></name> <name><surname>Dunlay</surname> <given-names>SM</given-names></name> <name><surname>Prasad</surname> <given-names>A</given-names></name> <name><surname>Kashani</surname> <given-names>K</given-names></name> <name><surname>Sakhuja</surname> <given-names>A</given-names></name> <name><surname>Gersh</surname> <given-names>BJ</given-names></name> <etal/></person-group>. <article-title>Acute noncardiac organ failure in acute myocardial infarction with cardiogenic shock</article-title>. <source>J Am Coll Cardiol.</source> (<year>2019</year>) <volume>73</volume>:<fpage>1781</fpage>&#x02013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2019.01.053</pub-id></citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chommeloux</surname> <given-names>J</given-names></name> <name><surname>Montero</surname> <given-names>S</given-names></name> <name><surname>Franchineau</surname> <given-names>G</given-names></name> <name><surname>Br&#x000E9;chot</surname> <given-names>N</given-names></name> <name><surname>H&#x000E9;kimian</surname> <given-names>G</given-names></name> <name><surname>Lebreton</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Microcirculation evolution in patients on venoarterial extracorporeal membrane oxygenation for refractory cardiogenic shock</article-title>. <source>Crit Care Med.</source> (<year>2020</year>) <volume>48</volume>:<fpage>e9</fpage>&#x02013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1097/CCM.0000000000004072</pub-id><pub-id pub-id-type="pmid">31634235</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chioncel</surname> <given-names>O</given-names></name> <name><surname>Collins</surname> <given-names>SP</given-names></name> <name><surname>Ambrosy</surname> <given-names>AP</given-names></name> <name><surname>Pang</surname> <given-names>PS</given-names></name> <name><surname>Radu</surname> <given-names>RI</given-names></name> <name><surname>Antohi</surname> <given-names>E-L</given-names></name> <etal/></person-group>. <article-title>Therapeutic advances in the management of cardiogenic shock</article-title>. <source>Am J Ther.</source> (<year>2019</year>) <volume>26</volume>:<fpage>e234</fpage>&#x02013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.1097/MJT.0000000000000920</pub-id><pub-id pub-id-type="pmid">30839372</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hernandez</surname> <given-names>G</given-names></name> <name><surname>Boerma</surname> <given-names>EC</given-names></name> <name><surname>Dubin</surname> <given-names>A</given-names></name> <name><surname>Bruhn</surname> <given-names>A</given-names></name> <name><surname>Koopmans</surname> <given-names>M</given-names></name> <name><surname>Edul</surname> <given-names>VK</given-names></name> <etal/></person-group>. <article-title>Severe abnormalities in microvascular perfused vessel density are associated to organ dysfunctions and mortality and can be predicted by hyperlactatemia and norepinephrine requirements in septic shock patients</article-title>. <source>J Crit Care.</source> (<year>2013</year>) <volume>28</volume>:<fpage>538.e9</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcrc.2012.11.022</pub-id><pub-id pub-id-type="pmid">23566729</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bruno</surname> <given-names>RR</given-names></name> <name><surname>Reed</surname> <given-names>M</given-names></name> <name><surname>Bimpong-Buta</surname> <given-names>N-Y</given-names></name> <name><surname>Muessig</surname> <given-names>JM</given-names></name> <name><surname>Masyuk</surname> <given-names>M</given-names></name> <name><surname>Binneboessel</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Sublingual microcirculation in prehospital critical care medicine: a proof-of-concept study</article-title>. <source>Microcirculation.</source> (<year>2020</year>) <volume>27</volume>:<fpage>e12614</fpage>. <pub-id pub-id-type="doi">10.1111/micc.12614</pub-id><pub-id pub-id-type="pmid">32065682</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Filho</surname> <given-names>RR</given-names></name> <name><surname>de Freitas Chaves</surname> <given-names>RC</given-names></name> <name><surname>Assun&#x000E7;&#x000E3;o</surname> <given-names>MSC</given-names></name> <name><surname>Neto</surname> <given-names>AS</given-names></name> <name><surname>De Freitas</surname> <given-names>FM</given-names></name> <name><surname>Romagnoli</surname> <given-names>ML</given-names></name> <etal/></person-group>. <article-title>Assessment of the peripheral microcirculation in patients with and without shock: a pilot study on different methods</article-title>. <source>J Clin Monit Comput</source>. (<year>2020</year>) <volume>34</volume>:<fpage>1167</fpage>&#x02013;<lpage>76</lpage>. <pub-id pub-id-type="doi">10.1007/s10877-019-00423-8</pub-id><pub-id pub-id-type="pmid">31754965</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jung</surname> <given-names>C</given-names></name></person-group>. <article-title>Assessment of microcirculation in cardiogenic shock</article-title>. <source>Curr Opin Crit Care.</source> (<year>2019</year>) <volume>25</volume>:<fpage>410</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1097/MCC.0000000000000630</pub-id><pub-id pub-id-type="pmid">31135392</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>LV</given-names></name> <name><surname>Hu</surname> <given-names>S</given-names></name></person-group>. <article-title>Photoacoustic tomography: in vivo imaging from organelles to organs</article-title>. <source>Science.</source> (<year>2012</year>) <volume>335</volume>:<fpage>1458</fpage>&#x02013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1126/science.1216210</pub-id><pub-id pub-id-type="pmid">22442475</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lucas</surname> <given-names>A</given-names></name> <name><surname>Mialet-Perez</surname> <given-names>J</given-names></name> <name><surname>Daviaud</surname> <given-names>D</given-names></name> <name><surname>Parini</surname> <given-names>A</given-names></name> <name><surname>Marber</surname> <given-names>MS</given-names></name> <name><surname>Sicard</surname> <given-names>P</given-names></name></person-group>. <article-title>Gadd45&#x003B3; regulates cardiomyocyte death and post-myocardial infarction left ventricular remodelling</article-title>. <source>Cardiovasc Res.</source> (<year>2015</year>) <volume>108</volume>:<fpage>254</fpage>&#x02013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1093/cvr/cvv219</pub-id><pub-id pub-id-type="pmid">26370247</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kilkenny</surname> <given-names>C</given-names></name> <name><surname>Browne</surname> <given-names>WJ</given-names></name> <name><surname>Cuthill</surname> <given-names>IC</given-names></name> <name><surname>Emerson</surname> <given-names>M</given-names></name> <name><surname>Altman</surname> <given-names>DG</given-names></name></person-group>. <article-title>Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research</article-title>. <source>PLoS Biol.</source> (<year>2010</year>) <volume>8</volume>:<fpage>e1000412</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pbio.1000412</pub-id><pub-id pub-id-type="pmid">20613859</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lindsey</surname> <given-names>ML</given-names></name> <name><surname>Kassiri</surname> <given-names>Z</given-names></name> <name><surname>Virag</surname> <given-names>JAI</given-names></name> <name><surname>de Castro Br&#x000E1;s</surname> <given-names>LE</given-names></name> <name><surname>Scherrer-Crosbie</surname> <given-names>M</given-names></name></person-group>. <article-title>Guidelines for measuring cardiac physiology in mice</article-title>. <source>Am J Physiol Heart Circ Physiol.</source> (<year>2018</year>) <volume>314</volume>:<fpage>H733</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1152/ajpheart.00339.2017</pub-id><pub-id pub-id-type="pmid">29351456</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zacchigna</surname> <given-names>S</given-names></name> <name><surname>Paldino</surname> <given-names>A</given-names></name> <name><surname>Falc&#x000E3;o-Pires</surname> <given-names>I</given-names></name> <name><surname>Daskalopoulos</surname> <given-names>EP</given-names></name> <name><surname>Dal Ferro</surname> <given-names>M</given-names></name> <name><surname>Vodret</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Towards standardization of echocardiography for the evaluation of left ventricular function in adult rodents: a position paper of the ESC Working Group on Myocardial Function</article-title>. <source>Cardiovasc Res</source>. (<year>2021</year>) <volume>117</volume>:<fpage>43</fpage>&#x02013;<lpage>59</lpage>. <pub-id pub-id-type="doi">10.1093/cvr/cvaa110</pub-id><pub-id pub-id-type="pmid">32365197</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Klement</surname> <given-names>W</given-names></name> <name><surname>Garbelli</surname> <given-names>R</given-names></name> <name><surname>Zub</surname> <given-names>E</given-names></name> <name><surname>Rossini</surname> <given-names>L</given-names></name> <name><surname>Tassi</surname> <given-names>L</given-names></name> <name><surname>Girard</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Seizure progression and inflammatory mediators promote pericytosis and pericyte-microglia clustering at the cerebrovasculature</article-title>. <source>Neurobiol Dis.</source> (<year>2018</year>) <volume>113</volume>:<fpage>70</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1016/j.nbd.2018.02.002</pub-id></citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ichkova</surname> <given-names>A</given-names></name> <name><surname>Rodriguez-Grande</surname> <given-names>B</given-names></name> <name><surname>Zub</surname> <given-names>E</given-names></name> <name><surname>Saudi</surname> <given-names>A</given-names></name> <name><surname>Fournier</surname> <given-names>M-L</given-names></name> <name><surname>Aussudre</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Early cerebrovascular and long-term neurological modifications ensue following juvenile mild traumatic brain injury in male mice</article-title>. <source>Neurobiol Dis.</source> (<year>2020</year>) <volume>141</volume>:<fpage>104952</fpage>. <pub-id pub-id-type="doi">10.1016/j.nbd.2020.104952</pub-id></citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sweeney</surname> <given-names>MD</given-names></name> <name><surname>Ayyadurai</surname> <given-names>S</given-names></name> <name><surname>Zlokovic</surname> <given-names>BV</given-names></name></person-group>. <article-title>Pericytes of the neurovascular unit: key functions and signaling pathways</article-title>. <source>Nat Neurosci.</source> (<year>2016</year>) <volume>19</volume>:<fpage>771</fpage>&#x02013;<lpage>83</lpage>. <pub-id pub-id-type="doi">10.1038/nn.4288</pub-id><pub-id pub-id-type="pmid">27227366</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giannoni</surname> <given-names>P</given-names></name> <name><surname>Badaut</surname> <given-names>J</given-names></name> <name><surname>Dargazanli</surname> <given-names>C</given-names></name> <name><surname>De Maudave</surname> <given-names>AF</given-names></name> <name><surname>Klement</surname> <given-names>W</given-names></name> <name><surname>Costalat</surname> <given-names>V</given-names></name> <etal/></person-group>. <article-title>The pericyte-glia interface at the blood-brain barrier</article-title>. <source>Clin Sci.</source> (<year>2018</year>) <volume>132</volume>:<fpage>361</fpage>&#x02013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1042/CS20171634</pub-id><pub-id pub-id-type="pmid">29439117</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miquerol</surname> <given-names>L</given-names></name> <name><surname>Thireau</surname> <given-names>J</given-names></name> <name><surname>Bideaux</surname> <given-names>P</given-names></name> <name><surname>Sturny</surname> <given-names>R</given-names></name> <name><surname>Richard</surname> <given-names>S</given-names></name> <name><surname>Kelly</surname> <given-names>RG</given-names></name></person-group>. <article-title>Endothelial plasticity drives arterial remodeling within the endocardium after myocardial infarction</article-title>. <source>Circ Res.</source> (<year>2015</year>) <volume>116</volume>:<fpage>1765</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCRESAHA.116.306476</pub-id><pub-id pub-id-type="pmid">25834185</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beltramo</surname> <given-names>E</given-names></name> <name><surname>Berrone</surname> <given-names>E</given-names></name> <name><surname>Giunti</surname> <given-names>S</given-names></name> <name><surname>Gruden</surname> <given-names>G</given-names></name> <name><surname>Perin</surname> <given-names>PC</given-names></name> <name><surname>Porta</surname> <given-names>M</given-names></name></person-group>. <article-title>Effects of mechanical stress and high glucose on pericyte proliferation, apoptosis and contractile phenotype</article-title>. <source>Exp Eye Res.</source> (<year>2006</year>) <volume>83</volume>:<fpage>989</fpage>&#x02013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1016/j.exer.2006.05.008</pub-id><pub-id pub-id-type="pmid">16822508</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garc&#x000ED;a-Quintans</surname> <given-names>N</given-names></name> <name><surname>S&#x000E1;nchez-Ramos</surname> <given-names>C</given-names></name> <name><surname>Prieto</surname> <given-names>I</given-names></name> <name><surname>Tierrez</surname> <given-names>A</given-names></name> <name><surname>Arza</surname> <given-names>E</given-names></name> <name><surname>Alfranca</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Oxidative stress induces loss of pericyte coverage and vascular instability in PGC-1&#x003B1;-deficient mice</article-title>. <source>Angiogenesis.</source> (<year>2016</year>) <volume>19</volume>:<fpage>217</fpage>&#x02013;<lpage>28</lpage>. <pub-id pub-id-type="doi">10.1007/s10456-016-9502-0</pub-id><pub-id pub-id-type="pmid">26951478</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Santin</surname> <given-names>Y</given-names></name> <name><surname>Fazal</surname> <given-names>L</given-names></name> <name><surname>Sainte-Marie</surname> <given-names>Y</given-names></name> <name><surname>Sicard</surname> <given-names>P</given-names></name> <name><surname>Maggiorani</surname> <given-names>D</given-names></name> <name><surname>Tortosa</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Mitochondrial 4-HNE derived from MAO-A promotes mitoCa2&#x0002B; overload in chronic postischemic cardiac remodeling</article-title>. <source>Cell Death Differ.</source> (<year>2020</year>) <volume>27</volume>:<fpage>1907</fpage>&#x02013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1038/s41418-019-0470-y</pub-id><pub-id pub-id-type="pmid">31819159</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>O&#x00027;Farrell</surname> <given-names>FM</given-names></name> <name><surname>Mastitskaya</surname> <given-names>S</given-names></name> <name><surname>Hammond-Haley</surname> <given-names>M</given-names></name> <name><surname>Freitas</surname> <given-names>F</given-names></name> <name><surname>Wah</surname> <given-names>WR</given-names></name> <name><surname>Attwell</surname> <given-names>D</given-names></name></person-group>. <article-title>Capillary pericytes mediate coronary no-reflow after myocardial ischaemia</article-title>. <source>Elife.</source> (<year>2017</year>) <volume>6</volume>:<fpage>e29280</fpage>. <pub-id pub-id-type="doi">10.7554/eLife.29280</pub-id><pub-id pub-id-type="pmid">29120327</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hauck</surname> <given-names>EF</given-names></name> <name><surname>Apostel</surname> <given-names>S</given-names></name> <name><surname>Hoffmann</surname> <given-names>JF</given-names></name> <name><surname>Heimann</surname> <given-names>A</given-names></name> <name><surname>Kempski</surname> <given-names>O</given-names></name></person-group>. <article-title>Capillary flow and diameter changes during reperfusion after global cerebral ischemia studied by intravital video microscopy</article-title>. <source>J Cereb Blood Flow Metab.</source> (<year>2004</year>) <volume>24</volume>:<fpage>383</fpage>&#x02013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.1097/00004647-200404000-00003</pub-id><pub-id pub-id-type="pmid">15087707</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yemisci</surname> <given-names>M</given-names></name> <name><surname>Gursoy-Ozdemir</surname> <given-names>Y</given-names></name> <name><surname>Vural</surname> <given-names>A</given-names></name> <name><surname>Can</surname> <given-names>A</given-names></name> <name><surname>Topalkara</surname> <given-names>K</given-names></name> <name><surname>Dalkara</surname> <given-names>T</given-names></name></person-group>. <article-title>Pericyte contraction induced by oxidative-nitrative stress impairs capillary reflow despite successful opening of an occluded cerebral artery</article-title>. <source>Nat Med.</source> (<year>2009</year>) <volume>15</volume>:<fpage>1031</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1038/nm.2022</pub-id><pub-id pub-id-type="pmid">19718040</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hall</surname> <given-names>CN</given-names></name> <name><surname>Reynell</surname> <given-names>C</given-names></name> <name><surname>Gesslein</surname> <given-names>B</given-names></name> <name><surname>Hamilton</surname> <given-names>NB</given-names></name> <name><surname>Mishra</surname> <given-names>A</given-names></name> <name><surname>Sutherland</surname> <given-names>BA</given-names></name> <etal/></person-group>. <article-title>Capillary pericytes regulate cerebral blood flow in health and disease</article-title>. <source>Nature.</source> (<year>2014</year>) <volume>508</volume>:<fpage>55</fpage>&#x02013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1038/nature13165</pub-id><pub-id pub-id-type="pmid">24670647</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marsboom</surname> <given-names>G</given-names></name> <name><surname>Rehman</surname> <given-names>J</given-names></name></person-group>. <article-title>Hypoxia signaling in vascular homeostasis</article-title>. <source>Physiology.</source> (<year>2018</year>) <volume>33</volume>:<fpage>328</fpage>&#x02013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1152/physiol.00018.2018</pub-id><pub-id pub-id-type="pmid">30109825</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thackeray</surname> <given-names>JT</given-names></name> <name><surname>Hupe</surname> <given-names>HC</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Bankstahl</surname> <given-names>JP</given-names></name> <name><surname>Berding</surname> <given-names>G</given-names></name> <name><surname>Ross</surname> <given-names>TL</given-names></name> <etal/></person-group>. <article-title>Myocardial inflammation predicts remodeling and neuroinflammation after myocardial infarction</article-title>. <source>J Am Coll Cardiol.</source> (<year>2018</year>) <volume>71</volume>:<fpage>263</fpage>&#x02013;<lpage>75</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2017.11.024</pub-id><pub-id pub-id-type="pmid">29348018</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ponikowski</surname> <given-names>P</given-names></name> <name><surname>Voors</surname> <given-names>AA</given-names></name> <name><surname>Anker</surname> <given-names>SD</given-names></name> <name><surname>Bueno</surname> <given-names>H</given-names></name> <name><surname>Cleland</surname> <given-names>JGF</given-names></name> <name><surname>Coats</surname> <given-names>AJS</given-names></name> <etal/></person-group>. <article-title>2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC</article-title>. <source>Eur Heart J.</source> (<year>2016</year>) <volume>37</volume>:<fpage>2129</fpage>&#x02013;<lpage>200</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehw128</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huber</surname> <given-names>W</given-names></name> <name><surname>Zanner</surname> <given-names>R</given-names></name> <name><surname>Schneider</surname> <given-names>G</given-names></name> <name><surname>Schmid</surname> <given-names>R</given-names></name> <name><surname>Lahmer</surname> <given-names>T</given-names></name></person-group>. <article-title>Assessment of regional perfusion and organ function: less and non-invasive techniques</article-title>. <source>Front Med.</source> (<year>2019</year>) <volume>6</volume>:<fpage>50</fpage>. <pub-id pub-id-type="doi">10.3389/fmed.2019.00050</pub-id><pub-id pub-id-type="pmid">30968023</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bol</surname> <given-names>ME</given-names></name> <name><surname>Beurskens</surname> <given-names>DMH</given-names></name> <name><surname>Delnoij</surname> <given-names>TSR</given-names></name> <name><surname>Roekaerts</surname> <given-names>PMHJ</given-names></name> <name><surname>Reutelingsperger</surname> <given-names>CPM</given-names></name> <name><surname>Delhaas</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Variability of microcirculatory measurements in critically ill patients</article-title>. <source>Shock.</source> (<year>2020</year>) <volume>54</volume>:<fpage>9</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1097/SHK.0000000000001470</pub-id><pub-id pub-id-type="pmid">31743299</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gerling</surname> <given-names>M</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name> <name><surname>Nania</surname> <given-names>S</given-names></name> <name><surname>Norberg</surname> <given-names>KJ</given-names></name> <name><surname>Verbeke</surname> <given-names>CS</given-names></name> <name><surname>Englert</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Real-time assessment of tissue hypoxia in vivo with combined photoacoustics and high-frequency ultrasound</article-title>. <source>Theranostics.</source> (<year>2014</year>) <volume>4</volume>:<fpage>604</fpage>&#x02013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.7150/thno.7996</pub-id><pub-id pub-id-type="pmid">24723982</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hysi</surname> <given-names>E</given-names></name> <name><surname>He</surname> <given-names>X</given-names></name> <name><surname>Fadhel</surname> <given-names>MN</given-names></name> <name><surname>Zhang</surname> <given-names>T</given-names></name> <name><surname>Krizova</surname> <given-names>A</given-names></name> <name><surname>Ordon</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality</article-title>. <source>JCI Insight.</source> (<year>2020</year>) <volume>5</volume>:<fpage>e136995</fpage>. <pub-id pub-id-type="doi">10.1172/jci.insight.136995</pub-id><pub-id pub-id-type="pmid">32298239</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garcia-Uribe</surname> <given-names>A</given-names></name> <name><surname>Erpelding</surname> <given-names>TN</given-names></name> <name><surname>Krumholz</surname> <given-names>A</given-names></name> <name><surname>Ke</surname> <given-names>H</given-names></name> <name><surname>Maslov</surname> <given-names>K</given-names></name> <name><surname>Appleton</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Dual-modality photoacoustic and ultrasound imaging system for noninvasive sentinel lymph node detection in patients with breast cancer</article-title>. <source>Sci Rep.</source> (<year>2015</year>) <volume>5</volume>:<fpage>15748</fpage>. <pub-id pub-id-type="doi">10.1038/srep15748</pub-id><pub-id pub-id-type="pmid">26510774</pub-id></citation></ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heijblom</surname> <given-names>M</given-names></name> <name><surname>Piras</surname> <given-names>D</given-names></name> <name><surname>van den Engh</surname> <given-names>FM</given-names></name> <name><surname>van der Schaaf</surname> <given-names>M</given-names></name> <name><surname>Klaase</surname> <given-names>JM</given-names></name> <name><surname>Steenbergen</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>The state of the art in breast imaging using the twente photoacoustic mammoscope: results from 31 measurements on malignancies</article-title>. <source>Eur Radiol.</source> (<year>2016</year>) <volume>26</volume>:<fpage>3874</fpage>&#x02013;<lpage>87</lpage>. <pub-id pub-id-type="doi">10.1007/s00330-016-4240-7</pub-id><pub-id pub-id-type="pmid">26945762</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Horiguchi</surname> <given-names>A</given-names></name> <name><surname>Tsujita</surname> <given-names>K</given-names></name> <name><surname>Irisawa</surname> <given-names>K</given-names></name> <name><surname>Kasamatsu</surname> <given-names>T</given-names></name> <name><surname>Hirota</surname> <given-names>K</given-names></name> <name><surname>Kawaguchi</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>A pilot study of photoacoustic imaging system for improved real-time visualization of neurovascular bundle during radical prostatectomy</article-title>. <source>Prostate.</source> (<year>2016</year>) <volume>76</volume>:<fpage>307</fpage>&#x02013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1002/pros.23122</pub-id><pub-id pub-id-type="pmid">26493623</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Wang</surname> <given-names>D</given-names></name> <name><surname>Ran</surname> <given-names>H</given-names></name> <name><surname>Hao</surname> <given-names>L</given-names></name> <name><surname>Cao</surname> <given-names>Y</given-names></name> <name><surname>Ao</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>A preliminary study of photoacoustic/ultrasound dual-mode imaging in melanoma using MAGE-targeted gold nanoparticles</article-title>. <source>Biochem Biophys Res Commun.</source> (<year>2018</year>) <volume>502</volume>:<fpage>255</fpage>&#x02013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbrc.2018.05.155</pub-id><pub-id pub-id-type="pmid">29802849</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stoffels</surname> <given-names>I</given-names></name> <name><surname>Morscher</surname> <given-names>S</given-names></name> <name><surname>Helfrich</surname> <given-names>I</given-names></name> <name><surname>Hillen</surname> <given-names>U</given-names></name> <name><surname>Leyh</surname> <given-names>J</given-names></name> <name><surname>Burton</surname> <given-names>NC</given-names></name> <etal/></person-group>. <article-title>Metastatic status of sentinel lymph nodes in melanoma determined noninvasively with multispectral optoacoustic imaging</article-title>. <source>Sci Transl Med.</source> (<year>2015</year>) <volume>7</volume>:<fpage>317ra199</fpage>. <pub-id pub-id-type="doi">10.1126/scitranslmed.aad1278</pub-id><pub-id pub-id-type="pmid">26659573</pub-id></citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>T</given-names></name> <name><surname>Desjardins</surname> <given-names>AE</given-names></name> <name><surname>Ourselin</surname> <given-names>S</given-names></name> <name><surname>Vercauteren</surname> <given-names>T</given-names></name> <name><surname>Xia</surname> <given-names>W</given-names></name></person-group>. <article-title>Minimally invasive photoacoustic imaging: current status and future perspectives</article-title>. <source>Photoacoustics.</source> (<year>2019</year>) <volume>16</volume>:<fpage>100146</fpage>. <pub-id pub-id-type="doi">10.1016/j.pacs.2019.100146</pub-id><pub-id pub-id-type="pmid">31871889</pub-id></citation></ref>
</ref-list>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This work was supported by grants from INSERM (SR), Universit&#x000E9; de Montpellier/Muse (PS), Franco-Thai Scholarship (NP), and ANR-Epicyte and ANR/EraNet Neu-Vasc (NM) and by a grant from the Fondation Leducq (RETP).</p>
</fn>
</fn-group>
</back>
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