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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJMM</journal-id>
<journal-title-group>
<journal-title>International Journal of Molecular Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1107-3756</issn>
<issn pub-type="epub">1791-244X</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijmm.2015.2426</article-id>
<article-id pub-id-type="publisher-id">ijmm-37-02-0299</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title><italic>In vivo</italic> high-resolution magic angle spinning magnetic and electron paramagnetic resonance spectroscopic analysis of mitochondria-targeted peptide in <italic>Drosophila melanogaster</italic> with trauma-induced thoracic injury</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>CONSTANTINOU</surname><given-names>CATERINA</given-names></name><xref rid="af1-ijmm-37-02-0299" ref-type="aff">1</xref><xref rid="af2-ijmm-37-02-0299" ref-type="aff">2</xref><xref rid="fn1-ijmm-37-02-0299" ref-type="author-notes">8</xref></contrib>
<contrib contrib-type="author">
<name><surname>APIDIANAKIS</surname><given-names>YIORGOS</given-names></name><xref rid="af2-ijmm-37-02-0299" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>PSYCHOGIOS</surname><given-names>NIKOLAOS</given-names></name><xref rid="af1-ijmm-37-02-0299" ref-type="aff">1</xref><xref rid="af3-ijmm-37-02-0299" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>RIGHI</surname><given-names>VALERIA</given-names></name><xref rid="af1-ijmm-37-02-0299" ref-type="aff">1</xref><xref rid="af3-ijmm-37-02-0299" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>MINDRINOS</surname><given-names>MICHAEL N.</given-names></name><xref rid="af4-ijmm-37-02-0299" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>KHAN</surname><given-names>NADEEM</given-names></name><xref rid="af5-ijmm-37-02-0299" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>SWARTZ</surname><given-names>HAROLD M.</given-names></name><xref rid="af5-ijmm-37-02-0299" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>SZETO</surname><given-names>HAZEL H.</given-names></name><xref rid="af6-ijmm-37-02-0299" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author">
<name><surname>TOMPKINS</surname><given-names>RONALD G.</given-names></name><xref rid="af7-ijmm-37-02-0299" ref-type="aff">7</xref></contrib>
<contrib contrib-type="author">
<name><surname>RAHME</surname><given-names>LAURENCE G.</given-names></name><xref rid="af2-ijmm-37-02-0299" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>TZIKA</surname><given-names>A. ARIA</given-names></name><xref rid="af1-ijmm-37-02-0299" ref-type="aff">1</xref><xref rid="af3-ijmm-37-02-0299" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijmm-37-02-0299"/></contrib></contrib-group>
<aff id="af1-ijmm-37-02-0299">
<label>1</label>NMR Surgical Laboratory, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA</aff>
<aff id="af2-ijmm-37-02-0299">
<label>2</label>Molecular Surgery Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA</aff>
<aff id="af3-ijmm-37-02-0299">
<label>3</label>Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA</aff>
<aff id="af4-ijmm-37-02-0299">
<label>4</label>Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA</aff>
<aff id="af5-ijmm-37-02-0299">
<label>5</label>EPR Center for Viable Systems, Department of Diagnostic Radiology, The Geisel School of Medicine, Lebanon, NH, USA</aff>
<aff id="af6-ijmm-37-02-0299">
<label>6</label>Department of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, NY, USA</aff>
<aff id="af7-ijmm-37-02-0299">
<label>7</label>Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA</aff>
<author-notes>
<corresp id="c1-ijmm-37-02-0299">Correspondence to: Dr A. Aria Tzika, NMR Surgical Laboratory, Department of Surgery, Massachusetts General and Shriners Burns Institute, Harvard Medical School, 51 Blossom Street, Room 261, Boston, MA 02114, USA, E-mail: <email>atzika@hms.harvard.edu</email></corresp><fn id="fn1-ijmm-37-02-0299">
<label>8</label>
<p><italic>Present address:</italic> Pharmacology Unit, Department of Medicine, University of Patras, Rio Achaias 26500, Greece</p></fn></author-notes>
<pub-date pub-type="ppub">
<month>02</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>08</day>
<month>12</month>
<year>2015</year></pub-date>
<volume>37</volume>
<issue>2</issue>
<fpage>299</fpage>
<lpage>308</lpage>
<history>
<date date-type="received">
<day>09</day>
<month>07</month>
<year>2015</year></date>
<date date-type="accepted">
<day>29</day>
<month>10</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; Constantinou et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license></permissions>
<abstract>
<p>Trauma is the most common cause of mortality among individuals aged between 1 and 44 years and the third leading cause of mortality overall in the US. In this study, we examined the effects of trauma on the expression of genes in <italic>Drosophila melanogaster</italic>, a useful model for investigating genetics and physiology. After trauma was induced by a non-lethal needle puncture of the thorax, we observed the differential expression of genes encoding for mitochondrial uncoupling proteins, as well as those encoding for apoptosis-related and insulin signaling-related proteins, thus indicating muscle functional dysregulation. These results prompted us to examine the link between insulin signaling and mitochondrial dysfunction using <italic>in vivo</italic> nuclear magnetic resonance (NMR) with complementary electron paramagnetic resonance (EPR) spectroscopy. Trauma significantly increased insulin resistance biomarkers, and the NMR spectral profile of the aged flies with trauma-induced thoracic injury resembled that of insulin-resistant <italic>chico</italic> mutant flies. In addition, the mitochondrial redox status, as measured by EPR, was significantly altered following trauma, indicating mitochondrial uncoupling. A mitochondria-targeted compound, Szeto-Schiller (SS)-31 that promotes adenosine triphosphate (ATP) synthesis normalized the NMR spectral profile, as well as the mitochondrial redox status of the flies with trauma-induced thoracic injury, as assessed by EPR. Based on these findings, we propose a molecular mechanism responsible for trauma-related mortality and also propose that trauma sequelae in aging are linked to insulin signaling and mitochondrial dysfunction. Our findings further suggest that SS-31 attenuates trauma-associated pathological changes.</p></abstract>
<kwd-group>
<kwd>nuclear magnetic resonance</kwd>
<kwd>electron paramagnetic resonance</kwd>
<kwd>high-resolution magic angle spinning</kwd>
<kwd>mitochondria</kwd>
<kwd><italic>Drosophila melanogaster</italic></kwd>
<kwd>biomarkers</kwd>
<kwd>insulin signaling</kwd>
<kwd>aging</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>The annual mortality rate due to traumatic injury in the US is approximately 192,000 individuals annually, while unintentional injuries are ranked among the top 10 causes of mortality in adults 65 years of age and older, of both genders (<ext-link xlink:href="http://www.nationaltraumainstitute.org/home/trauma_statistics.html" ext-link-type="uri">http://www.nationaltraumainstitute.org/home/trauma_statistics.html</ext-link>). The leading complication associated with trauma is the onset of several pathological pathways which leads to multiple-organ failure several days post-injury (<xref rid="b1-ijmm-37-02-0299" ref-type="bibr">1</xref>).</p>
<p>Since aging is characterized by increased oxidative stress, a heightened inflammatory response, accelerated cellular senescence and progressive organ dysfunction, it has been proposed that the homeostatic imbalance with aging significantly alters cellular responses to injury (<xref rid="b2-ijmm-37-02-0299" ref-type="bibr">2</xref>). In particular, previous research on aging has shown alterations in the levels or activity of factors involved in key regulatory processes in the maintenance of mitochondrial structural integrity, biogenesis and function, thus leading to the hypothesis that the cellular energetic imbalance may be important for the restoration of organ function following severe injury in aged individuals (<xref rid="b3-ijmm-37-02-0299" ref-type="bibr">3</xref>). That is, with severe insults, the mitochondrion, which plays a pivotal role in healthy aging (<xref rid="b2-ijmm-37-02-0299" ref-type="bibr">2</xref>) and, consequently, in the physiological response to trauma and shock (<xref rid="b4-ijmm-37-02-0299" ref-type="bibr">4</xref>), becomes stressed and eventually, dysfunctional. The most serious consequences of mitochondrial dysfunction are realized when ATP production falters. The inhibition of mitochondrial respiration leads to compromised ATP production and increased levels of reactive oxygen species (ROS) due to electron leakage. Mitochondrial oxidative stress damages cellular and mitochondrial protein machinery and genomic DNA, thereby compromising the repair and recovery capacities of the body. Furthermore, Jacob <italic>et al</italic>, using proton nuclear magnetic resonance (<sup>1</sup>H-NMR) spectroscopy, demonstrated that a high intramyocellular lipid (IMCL) content is exhibited early in the pathogenesis of insulin resistance, highlighting the importance of the IMCL content as a biomarker of insulin resistance in patients with type 2 diabetes and their offspring (<xref rid="b5-ijmm-37-02-0299" ref-type="bibr">5</xref>). Indeed, the IMCL content in the soleus muscle has been found to be increased in insulin-resistant elderly patients, thus providing support for the hypothesis that an age-associated decline in mitochondrial function contributes to insulin resistance (<xref rid="b6-ijmm-37-02-0299" ref-type="bibr">6</xref>).</p>
<p>High-resolution magic angle spinning (HRMAS) <sup>1</sup>H-NMR spectroscopy is a novel non-invasive technique that yields substantially improved spectral line-widths compared to conventional NMR, and therefore facilitates the acquisition of high-resolution spectra from intact cells (<xref rid="b7-ijmm-37-02-0299" ref-type="bibr">7</xref>,<xref rid="b8-ijmm-37-02-0299" ref-type="bibr">8</xref>) and unprocessed tissue (<xref rid="b9-ijmm-37-02-0299" ref-type="bibr">9</xref>&#x02013;<xref rid="b12-ijmm-37-02-0299" ref-type="bibr">12</xref>). Although HRMAS <sup>1</sup>H-NMR allows the associations between metabolites, such as IMCLs, and cellular processes to be investigated more closely than previously possible, it is generally performed <italic>ex vivo</italic> (<xref rid="b13-ijmm-37-02-0299" ref-type="bibr">13</xref>). Szczepaniak <italic>et al</italic> recently demonstrated that the IMCL content can be quantified accurately in a clinical setting with <italic>in vivo</italic> <sup>1</sup>H-NMR spectroscopy (<xref rid="b14-ijmm-37-02-0299" ref-type="bibr">14</xref>). In the present study, for the first time and to the best of our knowledge, we applied the emergent <italic>in vivo</italic> HRMAS proton magnetic resonance spectroscopy (<sup>1</sup>H-MRS) methodology to <italic>Drosophila</italic> in order to examine the effects of trauma-induced injury. We anticipated that <italic>in vivo</italic> HRMAS <sup>1</sup>H-NMR would be a useful tool in <italic>Drosophila</italic> since <italic>in vitro</italic> NMR can be used to demonstrate the metabolic effects of hypoxia (<xref rid="b15-ijmm-37-02-0299" ref-type="bibr">15</xref>) and temperature stress (<xref rid="b16-ijmm-37-02-0299" ref-type="bibr">16</xref>) in flies. <italic>Drosophila melanogaster</italic> (<italic>D. melanogaster</italic>), a small, short-lived and genetically amenable model organism with mutants for several genes of interest, already available, provides a useful model tool for assessing the biomarkers of trauma pathophysiology and for providing critical information on the development of novel therapies for trauma in a systemic and systematic manner. In addition, a range of antioxidant defenses has evolved in <italic>Drosophila</italic>, protecting the flies against impending oxidative damage, including antioxidant enzymes (e.g., superoxide dismutase, catalase and glutathione reductase) that suppress ROS activity before ROS can damage the vital cellular components (<xref rid="b16-ijmm-37-02-0299" ref-type="bibr">16</xref>,<xref rid="b17-ijmm-37-02-0299" ref-type="bibr">17</xref>). Although there is a lack of strong links between antioxidant enzymes and normal aging, antioxidant enzymes play an important role in extending the longevity of <italic>Drosophila</italic> under stressful conditions (<xref rid="b17-ijmm-37-02-0299" ref-type="bibr">17</xref>). Therefore, assessing the redox status of the mitochondria in injured flies is a rational means of evaluating the antioxidant defense capabilities of the flies.</p>
<p>The present study was designed to examine the hypothesis that trauma leads to reduced insulin signaling, a phylogenetically conserved pathway for the regulation of glucose and lipid metabolism (<xref rid="b18-ijmm-37-02-0299" ref-type="bibr">18</xref>,<xref rid="b19-ijmm-37-02-0299" ref-type="bibr">19</xref>), and mitochondrial dysfunction. Insulin signaling was assessed by cDNA microarrays, insulin resistance was evaluated by the <italic>in vivo</italic> assessment of the IMCL content, and mitochondrial dysfunction was evaluated by estimating <italic>in vivo</italic> ROS production. Finally, we examined whether the Szeto-Schiller (SS)-31 peptide, which is known to interact specifically with cardiolipin, and prevents the conversion of cytochrome <italic>c</italic> into a peroxidase while promoting oxidative phosphorylation (<xref rid="b20-ijmm-37-02-0299" ref-type="bibr">20</xref>), can reverse these effects. This hypothesis was examined in aged flies with trauma-induced injury which were injected with saline or SS-31. <italic>In vivo</italic> HRMAS <sup>1</sup>H-NMR and electron paramagnetic resonance (EPR) spectroscopy were applied to eliminate the <italic>in vitro</italic> artifacts.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Flies</title>
<p>Aged male <italic>D. melanogaster</italic> flies (age range, 30&#x02013;33 days) weighing 0.7&#x02013;1.0 mg were used in all the experiments. Oregon-R flies (wild type) were obtained from the Bloomington Drosophila Stock Center, Department of Biology, Indiana University, IN, USA. For the microarray genome analysis, wild-type (wt) flies were used, and the gene expression in flies injured with a thoracic non-lethal, needle puncture, as previously described (<xref rid="b21-ijmm-37-02-0299" ref-type="bibr">21</xref>,<xref rid="b22-ijmm-37-02-0299" ref-type="bibr">22</xref>), was compared to that in uninjured control flies. <italic>In vivo</italic> HRMAS <sup>1</sup>H-NMR spectroscopy was conducted on 3 groups of flies (n=6 per group). The 3 groups of flies were as follows: a) uninjured wt flies; b) wt flies injured 24 h prior to examination; and c) injured wt flies injected with SS-31 12 h post-injury. SS-31 (3 mg/kg) was injected into the thorax, using a Nanojet II injector (Drummond Scientific, Broomall, PA, USA) at 0, 3, 6, 24 and 48 h after needle puncture injury, as described in the study by Apidianakis and Rahme (<xref rid="b22-ijmm-37-02-0299" ref-type="bibr">22</xref>). The flies in groups 'a' and 'b' received injections of saline only following the same schedule, and a group of uninjured control flies was injected with SS-31 in order to determine the effects of the agent alone in the absence of trauma. To demonstrate that the HRMAS <sup>1</sup>H-NMR spectra obtained from whole flies are similar to those of muscle-enriched fly thoraces, we also analyzed dissected thoraces from 6 flies. Fly heads, abdomens and legs were removed from the flies and the thoraces were preserved on ice for 2-6 h prior to their analysis. In our other experiments, only whole flies were used.</p>
<p>EPR spectroscopy to investigate the redox status was also conducted on the same groups of flies as used in the HRMAS <sup>1</sup>H-NMR spectroscopy experiments. For the <italic>in vivo</italic> HRMAS <sup>1</sup>H-NMR and EPR spectroscopy experiments, we also assessed <italic>chico<sup>1/2</sup></italic> flies (kindly donated by Dr Robert Perrimon, Department of Genetics, Harvard Medical School, Boston, MA, USA), bearing 2 mutated alleles of the <italic>chico</italic> gene, a <italic>Drosophila</italic> homolog of vertebrate insulin receptor substrate 1-4 (IRS1-4), and their genetic control, <italic>chico<sup>1/+</sup></italic> flies, were also used, as previously described (<xref rid="b23-ijmm-37-02-0299" ref-type="bibr">23</xref>). Na&#x000EF;ve <italic>chico<sup>1/2</sup></italic> mutant flies were used as the controls for the injured flies.</p></sec>
<sec>
<title>Microarray hybridization and genomic data analysis</title>
<p>Biotinylated cRNA was generated with 10 <italic>&#x000B5;</italic>g of total cellular RNA from the wt flies according to the protocol outlined by Affymetrix, Inc. (Santa Clara, CA, USA). cRNA was hybridized onto an Affymetrix GeneChip<sup>&#x000AE;</sup> <italic>Drosophila</italic> Genome oligonucleotide array (Affymetrix, Inc.), labeled with strep-tavidin-phycoerythrin, washed and scanned according to the manufacturer's instructions.</p>
<p>Data files of the scanned images of the arrays hybridized with probes from the RNA extracted from <italic>Drosophila</italic> muscle isolated at the specified time points from the flies with trauma-induced thoracic injury and the control flies (n=3/group per time point) were converted to cell intensity files (.CEL files) in the Microarray Suite 5.0 program (MAS; Affymetrix). The data were scaled to a target intensity of 500, and all possible pairwise array comparisons of the replicates (injured vs. uninjured control flies) were performed for each time point using a MAS 5.0 change call algorithm. Probe sets that had a signal value difference &gt;100, and for which one of the two samples being compared was not assessed as 'absent', were scored as differentially modulated when the following two conditions were met: i) the number of changes registered in the same direction were at least 3, 4 and 6, when the number of comparisons were 4, 6 and 9, respectively; and ii) the other comparisons were unaltered. This scoring method compensates partially for biological stochasticity and technical variation. Based on the ratios of 100 genes determined to be invariant in the majority of conditions tested (Affymetrix), an additional constraint of a minimum ratio of 1.65 was applied in order to control for known false-positives at a level of 5%.</p>
<p>To identify functionally related sets of genes and processes significantly associated with trauma (at p&#x02264;0.05), we used the GeneSpring tool to characterize the genes found to be differentially expressed in the flies with trauma-induced thoracic injury compared to the control flies and compared to the Gene Ontology Consortium database. The microarray data are available online at MIAMExpress (accession no. E-MEXP-1287). The expression levels of all presented genes were verified by reverse transcription-quantitative polymerase chain reaction experiments (data not shown).</p></sec>
<sec>
<title>In vivo HRMAS <sup>1</sup>H-NMR spectroscopy</title>
<p>All HRMAS <sup>1</sup>H-NMR spectroscopy experiments were performed on a wide-bore Bruker Bio-Spin Avance NMR spectrometer (600.13 MHz) using a 4-mm triple resonance (<sup>1</sup>H, <sup>13</sup>C and <sup>2</sup>H) HRMAS probe (both from Bruker Corp., Billerica, MA, USA). Prior to being placed in the spectrometer, each fly was anesthetized by being set on ice for &lt;1 min. The flies were kept at 4&#x000B0;C while in the spectrometer. Special care was taken to avoid inflicting further injury on the already injured flies as they were moved in and out of the rotor. All flies survived the HRMAS <sup>1</sup>H-NMR spectroscopy experiment, which lasted ~45 min for each fly.</p>
<p>The flies were placed individually into a zirconium oxide (ZrO<sub>2</sub>) rotor tube (Bruker BioSpin Corp., Bruker BioSpin AG, Billerica, MA, USA; 4 mm in diameter, 50 <italic>&#x000B5;</italic>l), and 8 <italic>&#x000B5;</italic>l of external standard 3-(trimethylsilyl) propionic-2,2,3,3-d4 acid (TSP), (molecular weight, 172, &#x003B4;=0.00 ppm, 50 mM in D<sub>2</sub>O) that functioned as a reference for both resonance chemical shift and quantification, was then pipetted into each tube. Each fly was placed in the rotor using the insert, and the insert was then closed with a screw and covered with parafilm to prevent contact between the fly and the TSP/D<sub>2</sub>O. The samples were secured and tightened in the rotors with a top cap (Bruker Corp.). HRMAS <sup>1</sup>H-NMR spectroscopy was performed at 4&#x000B0;C with a spinning frequency of 2 kHz.</p>
<p>One dimensional (1D) water-suppressed spin-echo Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence &#x0005B;90&#x000B0;&#x02212;(&#x003C4;&#x02212;180&#x000B0;&#x02212;&#x003C4;)<sub>n</sub>-acquisition&#x0005D; (<xref rid="b24-ijmm-37-02-0299" ref-type="bibr">24</xref>) was performed on single flies. CPMG is a methodological improvement which is of particular relevance when developing HRMAS for intact tissue samples <italic>ex vivo</italic> in 1D acquisition, since it suppresses broad signals that destroy the linear baseline in typical free induction decay (FID) spectra. As a result, CPMG proton NMR spectra are free from the broad 'rolling' component that contributes to the baseline of simple FID spectra. The CPMG sequence has also been applied to 2 dimensional (2D) sequences for the same reason. Additional parameters for the CPMG sequence included an inter-pulse delay of &#x003C4; = 2&#x003C0;/&#x003C9;<sub>r</sub> = 250 <italic>&#x000B5;</italic>sec, two 180&#x000B0; cycles in total, 256 transients, a spectral width of 7.2 kHz, 32,768 (32 k) data points, and a 3-sec repetition time. We selected a spin-echo delay of 30 msec as we observed that it enabled us to avoid line broadening without the loss of signals from triglycerides (TG). A longer spin-echo delay improved all lipid signals, but was not favorable to other metabolite signals.</p></sec>
<sec>
<title><sup>1</sup>H HRMAS NMR spectroscopy data processing</title>
<p>NMR spectra were analyzed with MestReC software (Mestrelab Research, <ext-link xlink:href="http://www.mestrec.com" ext-link-type="uri">www.mestrec.com</ext-link>). A 0.5-Hz line-broadening apodization function was applied to CPMG HRMAS <sup>1</sup>H FIDs prior to Fourier transformation. The spectra were referenced relative to TSP at &#x003B4;=0.0 ppm (external standard), manually phased, and a Whittaker baseline estimator was applied to subtract the broad components of the baseline.</p></sec>
<sec>
<title>Quantification of metabolites from 1D CPMG spectra</title>
<p>For metabolite quantification, we used the highly accurate 'external standard' technique. Metabolite concentrations were calculated using MestReC software. An automated fitting routine based on the Levenberg-Marquardt algorithm (<xref rid="b25-ijmm-37-02-0299" ref-type="bibr">25</xref>,<xref rid="b26-ijmm-37-02-0299" ref-type="bibr">26</xref>) was applied following manual peak selection; peak positions, intensities, line widths and Lorentzian/Gaussian ratios were adjusted until the residual spectrum was minimized. The metabolite concentration (mol/kg) was calculated using the following equation, as previously described (<xref rid="b27-ijmm-37-02-0299" ref-type="bibr">27</xref>): mass<sub>TSP</sub>/PM<sub>TSP</sub>&#x0002A; Met<sub>(area)</sub>/TSP<sub>(area)</sub>&#x0002A; N<sub>TSP</sub>/N<sub>Met</sub>&#x0002A; 1/wt (sample), where mass<sub>TSP</sub> was constant (0.069 mg), PM<sub>TSP</sub> was the molecular weight of TSP (172.23 g/mol), Met signified metabolites, NTSP denoted the TSP proton number (9 <sup>1</sup>H), N<sub>Met</sub> denoted the metabolite proton number, and wt signified the sample weight in mg (<xref rid="b27-ijmm-37-02-0299" ref-type="bibr">27</xref>).</p></sec>
<sec>
<title>EPR spectroscopy for post-trauma redox assessment</title>
<p>X-band EPR with nitroxide was implemented as a complementary approach to NMR since NMR cannot measure the redox status (<xref rid="b28-ijmm-37-02-0299" ref-type="bibr">28</xref>,<xref rid="b29-ijmm-37-02-0299" ref-type="bibr">29</xref>). For redox assessment, each fly was anesthetized by cooling on ice (4&#x000B0;C) for 1 min and 9.2 nl of 15 mg/kg 2,2,6,6-tetramethylpiperidine 1-oxyl (TEMPO; Sigma-Aldrich, St. Louis, MO, USA) was then injected into the abdomen via an automated microsyringe, as previously described (<xref rid="b22-ijmm-37-02-0299" ref-type="bibr">22</xref>). Due to the very small size of <italic>Drosophila</italic> and in order to minimize repetitive injury, TEMPO was injected into each fly only once. Therefore, we used different flies for redox measurements at each time point. The anesthetized flies were quickly transferred to the EPR sample tube (1/tube) and restrained gently between cotton plugs to minimize any motion during the measurements. The EPR sample tube was then placed in the cavity of the Bruker X-band 9.2-GHz EPR spectrometer to follow the decay of the nitroxide (TEMPO) for 10-15 min. This method allowed us to assess the redox status of the flies directly, using an X-band EPR spectrometer as previously described (<xref rid="b28-ijmm-37-02-0299" ref-type="bibr">28</xref>&#x02013;<xref rid="b30-ijmm-37-02-0299" ref-type="bibr">30</xref>).</p>
<p>Typical spectrometer parameters were as follows: incident microwave power, 0.5 mW; magnetic field center, 348.7 mT; modulation frequency, 100 kHz; modulation amplitude, 40 <italic>&#x000B5;</italic>T; scan width, 1.5 mT and a scan time of 10 sec/scan. The low-field component of the EPR spectra (i.e., the first EPR line) was averaged over 1 min, and changes in signal intensity were followed over time. The rate at which the nitroxide was reduced over time was taken as an index of the redox status of the flies. In a previous study, we used a similar procedure to examine the redox status of muscle in mice following burn injury (<xref rid="b30-ijmm-37-02-0299" ref-type="bibr">30</xref>). After the redox measurement, the flies were gently removed from the tubes and transferred to Eppendorf tubes to follow their survival.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical comparisons were carried out using analyses of variance (ANOVA) with the Bonferroni correction to account for multiple of comparisons. A p-value &lt;0.05 (corrected) was considered to indicate a statistically significant difference; p-values are reported to two significant digits. Calculations were performed using SPSS version 12 software (SPSS Inc., Chicago, IL, USA).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Gene expression</title>
<p>The analysis of Affymetrix microarrays identified 245, 187 and 191 genes as differentially expressed in whole flies at 1, 6 and 12 h post-trauma. Our comparison of these sets of differentially expressed genes to the Gene Ontology Consortium database pointed to electron transport being the predominant function affected by trauma; the number of electron transport-related genes whose expression was abnormal at each time point is shown in <xref rid="f1-ijmm-37-02-0299" ref-type="fig">Fig. 1</xref>.</p>
<p>As shown in <xref rid="f2-ijmm-37-02-0299" ref-type="fig">Fig. 2</xref>, trauma affected the expression of several genes related to mitochondrial function across multiple time points. As expected, the expression of genes encoding for mitochondrial uncoupling protein UCP4 (<italic>ucp</italic>) was highly upregulated. Additionally, we observed an upregulation in the expression of genes encoding for apoptosis-inducing factor (<italic>aif</italic>) and <italic>Drosophila</italic> Forkhead box O (<italic>dfoxo</italic>). We also observed the altered expression of genes encoding for <italic>Drosophila</italic> insulin receptor (<italic>inr</italic>), <italic>Drosophila</italic> AKT (<italic>dakt</italic>), and <italic>Drosophila</italic> phosphatase and tensin homolog (<italic>dpten</italic>), which indicates trauma-induced insulin signaling dysregulation; this insulin signaling dysregulation may be linked to the downregulation of <italic>Drosophila</italic> Ets-like gene (<italic>delg</italic>) that was also observed. These findings prompted us to examine the link between mitochondrial dysfunction and insulin signaling in an <italic>in vivo</italic> model using <italic>in vivo</italic> NMR and EPR.</p></sec>
<sec>
<title>In vivo 1D <sup>1</sup>H HRMAS</title>
<p>Representative <italic>in vivo</italic> 1D <sup>1</sup>H HRMAS CPMG spectra from uninjured aged wt flies, injured aged wt flies and <italic>chico<sup>1/2</sup></italic> mutants are illustrated in <xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref> together with a 1D <sup>1</sup>H HRMAS CPMG summed spectrum from the thorax of dissected wt flies (inset), which represents primarily skeletal muscle, as the fly thorax is highly enriched in skeletal muscle, demonstrating that the spectra from whole flies are similar to those from the muscle-enriched thorax. Principal lipid components &#x0005B;CH<sub>3</sub> (0.89 ppm), (CH<sub>2</sub>)n (1.33 ppm), CH<sub>2</sub>C-CO (1.58 ppm), CH<sub>2</sub>C=C (2.02 ppm), CH<sub>2</sub>C=O (2.24 ppm), CH=CH (5.33 ppm)&#x0005D;, glycerol (4.10, 4.30 and 5.24 ppm), acetate (Ac, 1.92 ppm), &#x003B2;-alanine (&#x003B2;-Ala, 2.55 ppm), phosphocholine (PC, 3.22 ppm) and phosphoethanolamine (PE, 3.22 ppm)&#x0005D; were detected. Signals at 2.02 ppm were assigned to methylene protons of the CH<sub>2</sub>-CH=CH moiety of monounsaturated fatty acids (i.e., palmitoleic acid). Of note, we detected increased levels of polyunsaturated fatty acids (PUFAs, CH<sub>2</sub>C=O at 2.24 ppm). The unsaturated acids were identified by a signal at 5.33 ppm produced by protons of the -CH=CH- moiety.</p>
<p>The metabolic HRMAS NMR profiles of the injured aged wt flies were similar to those of the <italic>chico<sup>1/2</sup></italic> mutants (<xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref>). The SS-31 injection normalized the NMR profiles of the injured aged wt flies (<xref rid="f4-ijmm-37-02-0299" ref-type="fig">Fig. 4</xref><bold>).</bold> Quantitative analysis revealed significant increases in (CH<sub>2</sub>)n lipids at 1.33 ppm (an insulin resistance biomarker) and CH=CH lipids at 5.33 ppm (an apoptosis biomarker) in the injured aged wt flies compared to the uninjured aged wt flies (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>). The majority of the other lipid resonances were significantly elevated in the injured flies compared to the uninjured flies. The levels of the (CH<sub>2</sub>)n and CH=CH lipids were normalized in the injured flies injected with SS-31 (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>).</p>
<p>Analysis of the transverse relaxation time, T<sub>2</sub>, of the metabolites and the TSP standard in the 1D <sup>1</sup>H CPMG spectra across echo times (TE at 30, 60, 100, 300, 450 and 600 msec) revealed that the T<sub>2</sub> decay rate for the -CH<sub>3</sub> groups at 0.89 ppm (1,156&#x000B1;72 msec) was very close to that of TSP (1,125&#x000B1;103 msec). The T<sub>2</sub> values for (CH<sub>2</sub>)n at 1.33 ppm (516&#x000B1;14 msec), CH<sub>2</sub>C=C at 2.02 ppm (537&#x000B1;35 msec) and CH=CH at 5.33 ppm (469&#x000B1;27 msec) were almost identical to each other, equating to approximately half the T<sub>2</sub> values for CH<sub>2</sub>CCO at 1.58 ppm (292&#x000B1;5.0 msec) and CH<sub>2</sub>CO at 2.24 ppm (265&#x000B1;16 msec). Even at TE=600 ms, these peaks were not completely decayed, indicating that the lipid relaxation kinetics resembled those of TSP.</p></sec>
<sec>
<title>EPR spectroscopy</title>
<p>The typical <italic>in vivo</italic> X-band EPR spectra acquired from the flies is illustrated in <xref rid="f5-ijmm-37-02-0299" ref-type="fig">Fig. 5A</xref>. Our minute-by-minute analysis of the changes in the low field component of the TEMPO nitroxide (<xref rid="f5-ijmm-37-02-0299" ref-type="fig">Fig. 5B</xref>) indicated that the redox status was compromised in the flies at 1 and 6 h post-injury. The redox status (Kr) in the injured flies at 1 and 6 h post-injury was 0.0187&#x000B1;0.0040/sec and 0.0187&#x000B1;0.0043/sec, respectively, and did not differ significantly between these two time points. However, these redox measures were significantly higher than those observed in the uninjured flies in the control group (0.0131&#x000B1;0.0027/sec; p=0.018 vs. 1 h post-injury and p=0.024 vs. 6 h post-injury). Treatment with SS-31 significantly decreased the nitroxide decay rate at 6 h post-injury to 0.0130&#x000B1;0.0036/sec (p=0.040) vs. injured flies not treated with SS-31 at 6 h post-injury), a level similar to that of the uninjured control group (p=0.933).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In the present study, we examined the link between insulin signaling and mitochondrial dysfunction following trauma by combining genomic analysis with <italic>in vivo</italic> 1D <sup>1</sup>H HRMAS and EPR spectroscopy in <italic>Drosophila</italic>. The expression of electron transport protein genes, in particular, was substantially altered in the flies with trauma-induced injury. This pattern of change is indicative of mitochondrial dysfunction following trauma and is in agreement with the findings of a previous study of ours on burn-associated trauma (<xref rid="b31-ijmm-37-02-0299" ref-type="bibr">31</xref>). Also consistent with our prior findings in relation to burn trauma (<xref rid="b32-ijmm-37-02-0299" ref-type="bibr">32</xref>), we observed the upregulation of <italic>aif</italic>, <italic>dfoxo</italic>, as well as genes related to mitochondrial uncoupling. Furthermore, we were intrigued to find the altered expression of the insulin signaling-related genes, <italic>inr</italic>, <italic>dakt</italic>, and <italic>dpten</italic>, which is also consistent with our murine burn trauma model (<xref rid="b33-ijmm-37-02-0299" ref-type="bibr">33</xref>), as well as the downregulation of <italic>delg</italic>, which could be a downstream effect of insulin signaling dysregulation.</p>
<p>The results of our subsequent <italic>in vivo</italic> HRMAS <sup>1</sup>H-NMR and EPR experiments support the hypothesis that trauma can reduce insulin signaling through a mechanism that involves a phylogenetically conserved pathway for the regulation of glucose and lipid metabolism (<xref rid="b18-ijmm-37-02-0299" ref-type="bibr">18</xref>,<xref rid="b19-ijmm-37-02-0299" ref-type="bibr">19</xref>), and that SS-31 can promote the recovery of mitochondrial function and alleviate this condition. Our findings broaden those of prior reports using HRMAS <sup>1</sup>H-MRS in <italic>Drosophila</italic> (<xref rid="b34-ijmm-37-02-0299" ref-type="bibr">34</xref>), and provide evidence for the hypothesis that trauma in aging is linked to dysregulated insulin signaling. This link may explain the mitochondrial dysfunction that accompanies insulin resistance in trauma and aging in mammals.</p>
<p>Specifically, using <italic>in vivo</italic> HRMAS <sup>1</sup>H-NMR (14.1 T), we detected lipids and small metabolites in live <italic>Drosophila</italic>. At 14.1-T, we were able to achieve a sufficiently brief acquisition time (~45 min) to attain zero mortality. In accordance with other previously published <italic>in vivo</italic> skeletal muscle spectra (<xref rid="b35-ijmm-37-02-0299" ref-type="bibr">35</xref>&#x02013;<xref rid="b37-ijmm-37-02-0299" ref-type="bibr">37</xref>), our <italic>in vivo</italic> fly spectra exhibited high amounts of lipids (particularly TG), but fewer metabolites than described in certain other studies (<xref rid="b38-ijmm-37-02-0299" ref-type="bibr">38</xref>,<xref rid="b39-ijmm-37-02-0299" ref-type="bibr">39</xref>). Relative to these previous studies, we were working with a smaller sample size and using a lower spin rate, which may have affected spectral resolution. Given the low body weight of the fruit fly, NMR-visible non-lipid components are expected to contribute only a small percentage of the total signal, with a concomitantly weaker sensitivity of detection. Indeed, even spectra from the muscle-dense thorax of dissected flies were similar to the spectra from whole flies (inset of <xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref>).</p>
<p>The current thinking is that, following trauma, the disruption of oxidative homeostasis, the overproduction of ROS and the opening of the mitochondrial permeability transition pore promote mitochondrial dysfunction, leading to the activation of necrotic and/or apoptotic cell death pathways (<xref rid="b4-ijmm-37-02-0299" ref-type="bibr">4</xref>). Based on our present findings, we propose that trauma affects mitochondrial function through the disruption of insulin signaling, which is related to the altered expression of <italic>delg</italic> &#x0005B;the <italic>Drosophila</italic> homologue of the &#x003B1; subunit of nuclear factor (erythroid-derived 2)-related factor-2 (NRF-2&#x003B1;)&#x0005D; and <italic>spargel</italic> (the <italic>Drosophila</italic> homologue of peroxisome proliferator-activated receptor-&#x003B3; coactivator 1).</p>
<p>In light of our present findings (summarized in <xref rid="f6-ijmm-37-02-0299" ref-type="fig">Fig. 6</xref>) and other evidence in the literature (<xref rid="b40-ijmm-37-02-0299" ref-type="bibr">40</xref>), suggesting that Spargel mediates transcription in response to insulin signaling in parallel with Dfoxo, it is important to determine whether Spargel mediates a negative feedback loop in insulin signaling that enables it to set a threshold for insulin signaling in the control of metabolism. Whilst Spargel is not necessary for the maintenance of basal mitochondrial mass under normal physiological conditions, it becomes necessary in the absence of Delg, the fly homologue of NRF-2a (<xref rid="b40-ijmm-37-02-0299" ref-type="bibr">40</xref>). The loss of function of both Spargel and Delg leads to a greater loss of mitochondrial mass than the loss of Delg alone (<xref rid="b40-ijmm-37-02-0299" ref-type="bibr">40</xref>,<xref rid="b41-ijmm-37-02-0299" ref-type="bibr">41</xref>), suggesting that the two factors may act in parallel. Additionally, our previously published studies (<xref rid="b30-ijmm-37-02-0299" ref-type="bibr">30</xref>&#x02013;<xref rid="b35-ijmm-37-02-0299" ref-type="bibr">35</xref>,<xref rid="b42-ijmm-37-02-0299" ref-type="bibr">42</xref>&#x02013;<xref rid="b45-ijmm-37-02-0299" ref-type="bibr">45</xref>), and the current findings, are consistent with the possibility that Spargel promotes mitochondrial dysfunction via uncoupling proteins; experiments testing this possibility are currently in progress.</p>
<p>From a biomedical perspective, a principal finding of our study is that mobile lipids accumulate in muscle tissue in response to injury (<xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref> and <xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>). These findings support the hypothesis that trauma leads to insulin resistance. Indeed, insulin resistance has been suggested to develop following critical illness and severe injury (<xref rid="b46-ijmm-37-02-0299" ref-type="bibr">46</xref>). Elevated IMCL levels have been associated with insulin resistance, a major metabolic dysfunction of diabetes (<xref rid="b47-ijmm-37-02-0299" ref-type="bibr">47</xref>,<xref rid="b48-ijmm-37-02-0299" ref-type="bibr">48</xref>), aging (<xref rid="b6-ijmm-37-02-0299" ref-type="bibr">6</xref>,<xref rid="b48-ijmm-37-02-0299" ref-type="bibr">48</xref>&#x02013;<xref rid="b50-ijmm-37-02-0299" ref-type="bibr">50</xref>), burn trauma (<xref rid="b32-ijmm-37-02-0299" ref-type="bibr">32</xref>&#x02013;<xref rid="b36-ijmm-37-02-0299" ref-type="bibr">36</xref>) and obesity (<xref rid="b51-ijmm-37-02-0299" ref-type="bibr">51</xref>&#x02013;<xref rid="b54-ijmm-37-02-0299" ref-type="bibr">54</xref>). Previous genomic (<xref rid="b55-ijmm-37-02-0299" ref-type="bibr">55</xref>) and gene expression data in studies of human diabetics (<xref rid="b56-ijmm-37-02-0299" ref-type="bibr">56</xref>) suggest that elevated IMCL levels are the result of a deficiency in mitochondrial oxidative capacity (<xref rid="b56-ijmm-37-02-0299" ref-type="bibr">56</xref>,<xref rid="b57-ijmm-37-02-0299" ref-type="bibr">57</xref>), suggesting that an elevated IMCL content is indicative of reduced mitochondrial oxidation and phosphorylation.</p>
<p>Another principal finding of the present study was that ceramide had accumulated in aged injured flies (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref> and <xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref>), to a greater extent than in young injured flies, as we have previously shown (<xref rid="b34-ijmm-37-02-0299" ref-type="bibr">34</xref>). Ceramide accumulation decreases insulin- stimulated glucose transporter type 4 (GLUT4) trans-location to the plasma membrane, which results in decreased glucose transport and, consequently, in the development of insulin resistance. Paumen <italic>et al</italic> demonstrated that saturated fatty acids (e.g., palmitoleic acid, signal at 2.02 ppm in our study) induced the <italic>de novo</italic> synthesis of ceramide and programmed cell death (<xref rid="b58-ijmm-37-02-0299" ref-type="bibr">58</xref>); they suggested that the inhibition of carnitine palmitoyl transferase I activity induced both sphingolipid synthesis and palmitate-induced cell death. Moreover, Ruddock <italic>et al</italic> (<xref rid="b59-ijmm-37-02-0299" ref-type="bibr">59</xref>) suggested that long-chain saturated fatty acids (e.g., palmitoleic acid C16:0) inhibited insulin activity and attenuated insulin signal transduction in hepatoma cells, and concluded that an increase in palmitoleic acid is a harbinger of insulin resistance. If so, the signal at 2.02 ppm, which was high in the aged flies in our study, could be a biomarker of insulin resistance. Our NMR data further suggest that trauma induces the activation of the sphingolipid pathway, including ceramide, which functions as an intracellular apoptosis signal. Indeed, our data demonstrated vinyl proton accumulation at 5.33 ppm (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>), including protons from ceramide and possibly other sphingolipids, such as sphingosine and other monounsaturated fatty acids. These enhanced signals are in accordance with the hypothesis that the sphingolipid pathway may contribute to trauma-mediated apoptosis (<xref rid="b60-ijmm-37-02-0299" ref-type="bibr">60</xref>,<xref rid="b61-ijmm-37-02-0299" ref-type="bibr">61</xref>).</p>
<p>Of note, SS-31-treated flies exhibited a significantly reduced 5.33-ppm resonance in our study (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>, <xref rid="f3-ijmm-37-02-0299" ref-type="fig">Fig. 3</xref>), which supports our prior finding that SS-31 promotes mitochondrial respiration and inhibits ROS production (<xref rid="b62-ijmm-37-02-0299" ref-type="bibr">62</xref>). SS-31 inhibits cardiolipin peroxidation and mitochondrial permeability transition, thus preventing the release of cytochrome <italic>c</italic> and consequent apoptosis (<xref rid="b62-ijmm-37-02-0299" ref-type="bibr">62</xref>,<xref rid="b63-ijmm-37-02-0299" ref-type="bibr">63</xref>), and SS-31 has been shown to promote mitochondrial bioenergetics in skeletal muscle and prevent insulin resistance (<xref rid="b64-ijmm-37-02-0299" ref-type="bibr">64</xref>&#x02013;<xref rid="b67-ijmm-37-02-0299" ref-type="bibr">67</xref>).</p>
<p>SS-31 has been reported to improve mitochondrial respiration in skeletal muscle, reduce ROS production following immobilization, and prevent the development of insulin resistance (<xref rid="b64-ijmm-37-02-0299" ref-type="bibr">64</xref>,<xref rid="b65-ijmm-37-02-0299" ref-type="bibr">65</xref>,<xref rid="b68-ijmm-37-02-0299" ref-type="bibr">68</xref>). Consistent with our prior findings on mouse burn trauma (<xref rid="b8-ijmm-37-02-0299" ref-type="bibr">8</xref>), our complementary EPR results confirm that trauma-induced changes occurred in the redox status, and that SS-31 facilitated the normalization of the mitochondrial redox status in injured flies (<xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>, <xref rid="f5-ijmm-37-02-0299" ref-type="fig">Fig. 5</xref>). SS-31 targets and concentrates in the inner mitochondrial membrane, where it reduces mitochondrial oxidative stress via several mechanisms: it can scavenge electrons directly via its dimethyltyrosine residue (<xref rid="b69-ijmm-37-02-0299" ref-type="bibr">69</xref>), reduce mitochondrial ROS activity (<xref rid="b64-ijmm-37-02-0299" ref-type="bibr">64</xref>,<xref rid="b68-ijmm-37-02-0299" ref-type="bibr">68</xref>) and prevent cardiolipin peroxidation elicited by the cardiolipin/cytochrome <italic>c</italic> complex (<xref rid="b62-ijmm-37-02-0299" ref-type="bibr">62</xref>). Cardiolipin peroxidation triggers mitochondrial permeability transition, and SS-31 has been reported to inhibit mitochondrial permeability transition and swelling and apoptosis (<xref rid="b69-ijmm-37-02-0299" ref-type="bibr">69</xref>). The ability of SS-31 to inhibit insulin resistance induced by a high fat diet (<xref rid="b65-ijmm-37-02-0299" ref-type="bibr">65</xref>) and burn trauma (<xref rid="b66-ijmm-37-02-0299" ref-type="bibr">66</xref>) may be a result of its protective effect on mitochondrial function.</p>
<p>Trauma can induce lipid peroxidation, a biomarker of lipid damage from oxidative stress (<xref rid="b70-ijmm-37-02-0299" ref-type="bibr">70</xref>). Indeed, trauma-induced free radicals can attack intra-membrane PUFAs, which our NMR data revealed to be elevated in injured flies (see CH<sub>2</sub>CO resonance at 0.24 ppm in <xref rid="tI-ijmm-37-02-0299" ref-type="table">Table I</xref>) to form lipid peroxides which can disrupt membrane permeability, integrity and function, compromise cellular components, and lead to further injury (<xref rid="b71-ijmm-37-02-0299" ref-type="bibr">71</xref>,<xref rid="b72-ijmm-37-02-0299" ref-type="bibr">72</xref>). Our use of EPR spectroscopy to analyze trauma-related oxidative damage and lipid peroxidation in <italic>Drosophila</italic>, allowed us to corroborate previously described protective effects of SS-31 against lipid peroxidation (<xref rid="b63-ijmm-37-02-0299" ref-type="bibr">63</xref>,<xref rid="b73-ijmm-37-02-0299" ref-type="bibr">73</xref>,<xref rid="b74-ijmm-37-02-0299" ref-type="bibr">74</xref>).</p>
<p>In the present study, we demonstrated that the innovative approach of employing <italic>in vivo</italic> HRMAS NMR complemented by EPR spectroscopy is a sensitive method for characterizing metabolic and mitochondrial perturbations in injured <italic>Drosophila</italic> at the molecular level. Furthermore, we demonstrated that SS-31 can reverse injury-induced mitochondrial dysfunction and associated insulin resistance (<xref rid="b75-ijmm-37-02-0299" ref-type="bibr">75</xref>), as evidenced by NMR, while also attenuating injury-induced oxidative stress effects, as evidenced by EPR. The relative timing and interactions of SS-31 warrant further investigations in which the constituent events are isolated.</p>
<p>As corollary benefits, our approach advances the development of non-invasive <italic>in vivo</italic> research approaches in <italic>Drosophila</italic>, offers biomarkers which may be used to investigate biomedical paradigms, and thus may direct novel mitochondrial therapeutic development. Our demonstration of the utility of this approach in the extraordinarily well characterized and practicable model organism <italic>D. melanogaster</italic> can pave the way for a shift in the current research paradigm in trauma. Given that our findings are relevant for the treatment of mitochondrial dysfunction that occurs in as many chronic and terminal diseases as in trauma, this study is of great relevance to public health.</p></sec></body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">Ac</term>
<def>
<p>acetate</p></def></def-item>
<def-item>
<term id="G2">Ala</term>
<def>
<p>alanine</p></def></def-item>
<def-item>
<term id="G3">&#x003B2;-Ala</term>
<def>
<p>&#x003B2;-alanine</p></def></def-item>
<def-item>
<term id="G4">Arg</term>
<def>
<p>arginine</p></def></def-item>
<def-item>
<term id="G5">CPMG</term>
<def>
<p>Carr-Purcell-Meiboom-Gill</p></def></def-item>
<def-item>
<term id="G6">EMCLs</term>
<def>
<p>extramyo-cellular lipids</p></def></def-item>
<def-item>
<term id="G7">FID</term>
<def>
<p>free induction decay</p></def></def-item>
<def-item>
<term id="G8"><sup>1</sup>H-NMR</term>
<def>
<p>proton nuclear magnetic resonance</p></def></def-item>
<def-item>
<term id="G9">HRMAS</term>
<def>
<p>high-resolution magic angle spinning</p></def></def-item>
<def-item>
<term id="G10">EPR</term>
<def>
<p>electron paramagnetic resonance</p></def></def-item>
<def-item>
<term id="G11">IMCLs</term>
<def>
<p>intra myocellular lipids</p></def></def-item>
<def-item>
<term id="G12">NMR</term>
<def>
<p>nuclear magnetic resonance</p></def></def-item>
<def-item>
<term id="G13">PE</term>
<def>
<p>phosphoethanolamine</p></def></def-item>
<def-item>
<term id="G14">PC</term>
<def>
<p>phosphocholine</p></def></def-item>
<def-item>
<term id="G15">PUFA</term>
<def>
<p>polyunsaturated fatty acid</p></def></def-item>
<def-item>
<term id="G16">ROS</term>
<def>
<p>reactive oxygen species</p></def></def-item>
<def-item>
<term id="G17">SS-31</term>
<def>
<p>Szeto-Schiller-31</p></def></def-item>
<def-item>
<term id="G18">Tau</term>
<def>
<p>taurine</p></def></def-item>
<def-item>
<term id="G19">TG</term>
<def>
<p>triglycerides</p></def></def-item>
<def-item>
<term id="G20">wt</term>
<def>
<p>wild-type</p></def></def-item></def-list></glossary>
<ack>
<title>Acknowledgments</title>
<p>The present study was supported in part by a grant from DM103014 of the Defense Medical Research and Development Program (DMRDP) to Laurence G. Rahme (Aria A. Tzika, co-investigator), and Shriner's Hospital for Children research grants to Aria A. Tzika (no. 8893) and Laurence G. Rahme (no. 8892). The authors also thank Dr Ann Power Smith (Write Science Right, Las Vegas, NV, USA) for providing editorial assistance. The SS peptide technology has been licensed for commercial development to Stealth Peptides Inc. by the Cornell Research Foundation (CRF), and both CRF and Hazel H. Szeto have financial interests. We would also like to thank Dr Robert Perrimon for providing the <italic>chico</italic> flies.</p></ack>
<ref-list>
<title>References</title>
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<floats-group>
<fig id="f1-ijmm-37-02-0299" position="float">
<label>Figure 1</label>
<caption>
<p>Differentially expressed genes with electron transport-related functionality in injured flies, as identified using Gene Ontology at p&#x02264;0.05. At each time point, the gray and black bars indicate the numbers of upregulated and downregulated genes, respectively. The negative log<sub>10</sub>-transformed p-values (right y-axis) are represented by triangles.</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g00.tif"/></fig>
<fig id="f2-ijmm-37-02-0299" position="float">
<label>Figure 2</label>
<caption>
<p>Changes in mitochondrial function-related gene mRNA expression in flies at 1, 6 and 12 h post-trauma. Expression levels are reported in arbitrary units (a.u.). delg, <italic>Drosophila</italic> NRF-2; inr, <italic>Drosophila</italic> insulin receptor; dakt, <italic>Drosophila</italic> AKT; dpten, <italic>Drosophila</italic> phosphatase and tensin homolog; dfoxo, <italic>Drosophila</italic> Forkhead box O; ucp4A, uncoupling protein4A; ucp4b, uncoupling protein4b; bmcp, drosophila ucp5; aif, apoptosis-inducing factor.</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g01.tif"/></fig>
<fig id="f3-ijmm-37-02-0299" position="float">
<label>Figure 3</label>
<caption>
<p>Representative <italic>in vivo</italic> 1D HRMAS <sup>1</sup>H CPMG spectra of (A) uninjured aged wild-type (wt) flies, (B) injured old wt flies and (C) chico<sup>1/2</sup> mutants. Lipid components: CH<sub>3</sub> (0.89 ppm), (CH<sub>2</sub>)n (1.33 ppm), CH<sub>2</sub>C-CO (1.58 ppm), acetate (Ac, 1.92 ppm), CH<sub>2</sub>C=C (2.02 ppm), CH<sub>2</sub>C=O (2.24 ppm), &#x003B2;-alanine (&#x003B2;-Ala, 2.55 ppm), phosphocholine (PC, 3.22 ppm), and phosphoethanolamine (PE, 3.22 ppm), glycerol (4.10, 4.30 ppm 1,3-CH; 5.22 ppm 2-CH<sub>2</sub>), CH=CH (5.33 ppm). Note that spectra from <italic>chico<sup>1/2</sup></italic> mutants with insulin resistance have increased insulin biomarker (CH<sub>2</sub>)n, and that the spectra from injured wt flies have a similar profile. The spectra in the insert are from the thorax of dissected flies and thus represent primarily skeletal muscle; note their similarity to spectra for whole flies.</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g02.tif"/></fig>
<fig id="f4-ijmm-37-02-0299" position="float">
<label>Figure 4</label>
<caption>
<p>Representative summed <italic>in vivo</italic> 1D HRMAS <sup>1</sup>H CPMG spectra of (A) uninjured aged wild-type (wt) flies and (B) injured aged wt flies, (C) injured aged wt flies treated with Szeto-Schiller (SS)-31. Lipid components: CH<sub>3</sub> (0.89 ppm), (CH<sub>2</sub>)n (1.33 ppm), CH<sub>2</sub>C-CO (1.58 ppm), acetate (Ac, 1.92 ppm), CH<sub>2</sub>C=C (2.02 ppm), CH<sub>2</sub>C=O (2.24 ppm), &#x003B2;-alanine (&#x003B2;-Ala, 2.55 ppm), phosphocholine (PC, 3.22 ppm), phosphoethanolamine (PE, 3.22 ppm), glycerol (4.10, 4.30 ppm 1,3-CH; 5.22 ppm 2-CH<sub>2</sub>), and CH=CH (5.33 ppm). Note that injured flies injected with SS-31 (C) have a profile that is similar to that of the uninjured old wt flies (A).</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g03.tif"/></fig>
<fig id="f5-ijmm-37-02-0299" position="float">
<label>Figure 5</label>
<caption>
<p>(A) Typical <italic>in vivo</italic> electron paramagnetic resonance (EPR) spectra of TEMPO-injected in the control flies. (B) The first component of the EPR spectrum was used to follow nitroxide reduction over time for evaluating redox status. Values are represented as the means &#x000B1; SD; n=6/group.</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g04.jpg"/></fig>
<fig id="f6-ijmm-37-02-0299" position="float">
<label>Figure 6</label>
<caption>
<p>Proposed molecular mechanism of trauma-induced skeletal muscle dysfunction. Red lines/arrows, aspects of trauma-induced mitochondrial dysfunction suggested by our data. Green lines, proposed negative feedback mechanism of <italic>spargel</italic> in the insulin pathway. Blue arrows, aspects of trauma-induced mitochondrial dysfunction established previously in the literature (<xref rid="b18-ijmm-37-02-0299" ref-type="bibr">18</xref>&#x02013;<xref rid="b19-ijmm-37-02-0299" ref-type="bibr">19</xref>,<xref rid="b40-ijmm-37-02-0299" ref-type="bibr">40</xref>&#x02013;<xref rid="b46-ijmm-37-02-0299" ref-type="bibr">46</xref>). ct, stable; <italic>spargel</italic>, PGC-1 analogue in flies; delg, NRF-2 analogue in flies; ucp, uncoupling proteins; dfoxo, Forkhead box O anologue in flies; basket, JNK analogue in flies; dilp 1&#x02013;7, analogues of insulin, IGF-1 and IGF-2 in flies; inr, <italic>Drosophila</italic> insulin receptor; chico, IRS 1&#x02013;4 analogue in flies; dp110, PI3K analogue in flies; dakt, <italic>Drosophila</italic> AKT analogue in flies; shaggy, GSK-3 (glycogen synthase kinase-3) analogue in flies; ROS, reactive oxygen species; Cyto-<italic>c</italic>, cytochrome <italic>c</italic>; ATP, adenosine triphosphate; TNF-&#x003B1;, tumor necrosis factor-&#x003B1;.</p></caption>
<graphic xlink:href="IJMM-37-02-0299-g05.tif"/></fig>
<table-wrap id="tI-ijmm-37-02-0299" position="float">
<label>Table I</label>
<caption>
<p>Mean quantity (in <italic>&#x000B5;</italic>mol/g &#x000B1; standard errors) of selected lipid components in live wt flies determined by <sup>1</sup>H HRMAS NMR.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" valign="top" align="left">Time</th>
<th valign="top" align="left">Lipid components</th>
<th valign="top" align="center">CH<sub>3</sub></th>
<th valign="top" align="center">(CH<sub>2</sub>)n</th>
<th valign="top" align="center">CH<sub>2</sub>CCO</th>
<th valign="top" align="center">CH<sub>2</sub>C=</th>
<th valign="top" align="center">CH<sub>2</sub>CO</th>
<th valign="top" align="center">CH=CH</th></tr>
<tr>
<th valign="top" align="left">Chemical shift (&#x003B4;, ppm)</th>
<th valign="top" align="center">0.89</th>
<th valign="top" align="center">1.33</th>
<th valign="top" align="center">1.58</th>
<th valign="top" align="center">2.02</th>
<th valign="top" align="center">2.24</th>
<th valign="top" align="center">5.33</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">6 h</td>
<td valign="top" align="left">Uninjured</td>
<td valign="top" align="center">0.18&#x000B1;0.01</td>
<td valign="top" align="center">1.41&#x000B1;0.08</td>
<td valign="top" align="center">0.06&#x000B1;0.003</td>
<td valign="top" align="center">0.13&#x000B1;0.01</td>
<td valign="top" align="center">0.07&#x000B1;0.01</td>
<td valign="top" align="center">0.08&#x000B1;0.01</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Injured</td>
<td valign="top" align="center">0.27&#x000B1;0.03</td>
<td valign="top" align="center">2.10&#x000B1;0.25</td>
<td valign="top" align="center">0.16&#x000B1;0.08</td>
<td valign="top" align="center">0.24&#x000B1;0.06</td>
<td valign="top" align="center">0.13&#x000B1;0.03</td>
<td valign="top" align="center">0.13&#x000B1;0.02</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">% change</td>
<td valign="top" align="center">50.0</td>
<td valign="top" align="center">48.94</td>
<td valign="top" align="center">166.67</td>
<td valign="top" align="center">84.62</td>
<td valign="top" align="center">85.71</td>
<td valign="top" align="center">62.50</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">p-value</td>
<td valign="top" align="center"><bold>0.022</bold></td>
<td valign="top" align="center"><bold>0.024</bold></td>
<td valign="top" align="center">0.260</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">0.071</td>
<td valign="top" align="center"><bold>0.015</bold></td></tr>
<tr>
<td valign="top" align="left">12 h</td>
<td valign="top" align="left">Injured + saline</td>
<td valign="top" align="center">0.26&#x000B1;0.003</td>
<td valign="top" align="center">1.94&#x000B1;0.05</td>
<td valign="top" align="center">0.13&#x000B1;0.01</td>
<td valign="top" align="center">0.22&#x000B1;0.004</td>
<td valign="top" align="center">0.10&#x000B1;0.01</td>
<td valign="top" align="center">0.13&#x000B1;0.004</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Injured + SS31</td>
<td valign="top" align="center">0.17&#x000B1;0.002</td>
<td valign="top" align="center">1.29&#x000B1;0.02</td>
<td valign="top" align="center">0.06&#x000B1;0.002</td>
<td valign="top" align="center">0.12&#x000B1;0.002</td>
<td valign="top" align="center">0.06&#x000B1;0.001</td>
<td valign="top" align="center">0.08&#x000B1;0.002</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">% change</td>
<td valign="top" align="center">&#x02212;33.38</td>
<td valign="top" align="center">&#x02212;33.43</td>
<td valign="top" align="center">&#x02212;54.95</td>
<td valign="top" align="center">&#x02212;44.09</td>
<td valign="top" align="center">&#x02212;45.05</td>
<td valign="top" align="center">&#x02212;39.90</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">p-value</td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
<td valign="top" align="center"><bold>&lt;0.001</bold></td>
<td valign="top" align="center"><bold>0.0013</bold></td>
<td valign="top" align="center"><bold>&lt; 0.001</bold></td>
<td valign="top" align="center"><bold>&lt; 0.001</bold></td>
<td valign="top" align="center"><bold>&lt; 0.001</bold></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijmm-37-02-0299">
<p>The p-values were calculated using ANOVA with Bonferroni correction to account for multiple comparisons. Significant p-values are shown in bold. HRMAS, high-resolution magic angle spinning; wt, wild-type; NMR, nuclear magnetic resonance.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
