Circulatory shock is the leading cause of mortality in the intensive care unit (1), and despite decades of basic and clinical research, morbidity and mortality rates remain high. An incomplete understanding of the pathological mechanisms involved in tissue damage, organ dysfunction, and failure limits available treatments for shock to source control (e.g., antibiotic therapy) and supportive therapy such as fluids and pressor agents.
The pathways activated in response to an initial insult, for example global ischemia in hemorrhagic shock (HS), suggest that shock involves several common pathologic mechanisms. One specific organ, long suspected as fundamental to the pathogenesis of shock, is the intestine, whose failure triggers a widespread inflammatory state, which can ultimately lead to multiple organ failure (MOF) and death. One of the hypotheses that implicate the intestine in the progression of shock is centered around the role of the enteral digestive enzymes (2). The intestinal mucosal barrier may become severely damaged due to hypoperfusion in hemorrhage and sepsis. As a consequence, its function as a barrier between the intestinal lumen and the interstitial tissue and vasculature may become compromised, and digestive enzymes, such as proteases and lipases, may exit the intestinal lumen and reach the systemic circulation, resulting in global cellular and organ dysfunction (2–5). Digestive proteases contribute to malfunction of important transmembrane receptors, such as the insulin receptor, possibly through cleavage (4), but they are also known to activate matrix metalloproteinases (MMPs) in vivo, and could therefore act as mediators of secondary cell and tissue injury. Both serine proteases and MMPs have the potential to cause uncontrolled pathological proteolysis, and this phenomenon may play an important role in the evolution of shock-induced organ failure.
We test here the hypothesis that hemorrhagic shock causes an increase in systemic proteolysis of proteins in the presence of increased enzymatic activity levels. We used high-throughput quantitative mass spectroscopy-based proteomic techniques to analyze the peptidome, in order to precisely identify and quantify the peptides in plasma.
Proteomic approaches have been introduced recently in shock research (6), but interpretation of the data is still limited by the lack of a comprehensive model of the disease. Here, we report the results of the analysis of the peptidome of rat plasma collected after hemorrhagic shock (HS) to quantify the relative changes in the concentration of circulating peptides relative to their physiologic concentration in the plasma of healthy control rats. A systematic analysis of the circulating peptides, in terms of both their origin and possible generation by proteolytic cleavage, was carried out to obtain information on the proteolytic activity of several serine proteases and MMPs present in the bloodstream. The objective of the study was to garner direct evidence in support of one of the possible mechanistic processes underlying shock-induced organ failure and death, i.e., diffuse proteolysis. These results may open future directions to identify possible biomarkers in circulatory shock, by analysis of peptides and proteins that appear in the plasma starting from the experimental protocol setup in the present report.
MATERIALS AND METHODS
The animal protocol was reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) at the University of California, San Diego, and conforms to the Guide for the Care and Use of Laboratory Animals, 8th edition, by the National Institutes of Health (2011).
Six male Wistar rats (300–450 g, Harlan Laboratories, Inc, Indianapolis, IN) were randomly assigned to either a control (CTRL, n = 3) or a hemorrhagic shock (HS, n = 3) group. The animals were housed in the vivarium of the Department of Bioengineering at the University of California San Diego and experiments took place during the morning. The temperature (∼20–22°C) and humidity (∼70%–75%) in the vivarium are controlled and monitored regularly, and the light/dark cycles (6 h light/6 h dark) are standardized according to the facility procedures. Each cage houses at most two rats. Food and water are given at libitum and the health of animals is confirmed by regular veterinary inspection. The well-being of the animals is ensured according to Federal, State, and University regulation.
After general anesthesia (ketamine 75 mg/kg + xylazine, 4 mg/kg; i.m.) the right femoral vein was cannulated for blood withdrawal and intravenous supplemental anesthesia (xylazine, 4 mg/kg; ketamine 7.5 mg/kg i.v.) and the right femoral artery for continuous monitoring of arterial blood pressure. Body temperature was measured continuously rectally, and the animals were placed on a heated stage (at 37°C) and covered with a heat-retaining blanket to limit the temperature drop occurring during the hypovolemic phase of the experiment. Both HS and CTRL animals were heparinized (porcine heparin from Sagent Pharmaceuticals, Schamburg, IL) following an initial stabilization after the induction of anesthesia (1 unit heparin/cc total blood volume, estimated at 6% of the body weight). Hemorrhage was induced by blood withdrawal from the femoral vein (0.5 cc/min) to a target mean arterial pressure (MAP) of 35 mmHg. Hypovolemia was maintained for 2 h, at which point the shed blood was reinfused (0.5 cc/min). The shed blood was maintained at room temperature (∼22°C) and gently warmed to 37°C before reinfusion to minimize the temperature gradient.
The animals were monitored for an additional 2 h, and euthanized at the end of the observation period, with Beuthanasia-D (120 mg/kg, Merck Animal Health). CTRL animals were monitored under anesthesia and without any further intervention for the same duration of the shock experiment until euthanasia. Death was confirmed by verification of cardiac arrest after thoracotomy to expose the chest cavity.
Just before euthanasia 1 mL of venous blood was collected in a BD Vacutainer Plus Plastic K2EDTA (Becton, Dickinson and Company, Franklin Lakes, NJ) vial after the addition of a protease inhibitor solution (a tablet of cOmplete Protease Inhibitor Cocktail, Roche, diluted in water to obtain a ×10 solution with the plasma sample), and centrifugation at 1300 rpm for 10 min to separate plasma. The supernatant was collected, stored at +4°C, and shipped for analysis by mass spectroscopy.
Shotgun analysis and label-free quantitation
500 μL of each plasma sample was diluted with an equal volume of 32% (v/v) acetic acid, transferred to an Amicon Ultra-0.5 mL centrifugal filter (MWCO 10K), and centrifuged at 5,000 × g at 4°C for 2 h to deplete the high molecular weight proteins (7). After the first centrifugation, 500 μL of 32% (v/v) acetic acid was added to the Amicon Ultra filter device and centrifuged at 5,000 × g for 2 h. The filtrate was precipitated with two volumes of cold acetonitrile (ACN) containing 0.1% of trifluoroacetic acid (TFA) (stored at 4°C for at least 1 h) and centrifuged at 13,200 rpm for 30 min (8) to remove residual proteins. The supernatant containing peptides and low molecular weight proteins was collected, dried (Speed Vacuum), dissolved in 1% (v/v) formic acid, and desalted (Zip-Tip C18, Millipore) before mass spectrometric (MS) analysis.
Liquid chromatography electrospray–tandem MS/MS analysis
LC-ESI-MS/MS analysis was performed on a Dionex UltiMate 3000 HPLC System with a PicoFrit ProteoPrep C18 column (200 mm, internal diameter of 75 μm) (New Objective, Woburn, MA). Gradient: 1% ACN in 0.1% formic acid for 10 min, 1% to 4% ACN in 0.1% formic acid for 6 min, 4% to 30% ACN in 0.1% formic acid for 147 min, and 30% to 50% ACN in 0.1% formic for 3 min at a flow rate of 0.3 μL/min. The eluate was electrosprayed into an LTQ Orbitrap Velos (Thermo Fisher Scientific, Bremen, Germany) through a Proxeon nanoelectrospray ion source (Thermo Fisher Scientific). The LTQ-Orbitrap was operated in positive mode in data-dependent acquisition mode to automatically alternate between a full scan (m/z 350–2000) in the Orbitrap (at resolution 60,000, AGC target 1000000) and subsequent collision-induced dissociation (CID) MS/MS in the linear ion trap of the 20 most intense peaks from full scan (normalized collision energy of 35%, 10-ms activation). Isolation window: 3 Da, unassigned charge states: rejected, charge state 1: rejected, charge states 2+, 3+, 4+: not rejected; dynamic exclusion enabled (60 s, exclusion list size: 200). Three technical replicate analyses of each sample were performed. Data acquisition was controlled by Xcalibur 2.0 and Tune 2.4 software (Thermo Fisher Scientific).
Data processing and statistical analysis
Mass spectra were analyzed using MaxQuant software (version 126.96.36.199). The initial maximum allowed mass deviation was set to 15 ppm for monoisotopic precursor ions and 0.5 Da for MS/MS peaks. Enzyme specificity was set as unspecific. N-terminal acetylation, methionine oxidation, and asparagine/glutamine deamidation were set as variable modifications. The spectra were searched by the Andromeda search engine against the rat Uniprot sequence database (release 03.12.2014). Quantification in MaxQuant was performed using the built in XIC-based label-free quantification (LFQ) algorithm (9) using fast LFQ. The required false positive rate was set to 5% at the peptide and to 5% at the protein level, and the minimum required peptide length was set to six amino acids. Statistical analyses were performed using the Perseus software (version 188.8.131.52, http://www.biochem.mpg.de/mann/tools/).
Three biological replicates (three healthy vs. three hemorrhagic shock animals) were analyzed. Three technical replicates were carried out for each biological sample. Only peptides present in at least two out of three technical replicates were considered positively identified and quantified in each biological replicate. Then, biological replicates were compared, leading to three groups of peptides: only-HS peptides (199 peptides), i.e., peptides that were found in HS samples in at least two out of three biological replicates; only-CTRL peptides (30 peptides), i.e., peptides that were found in CTRL samples in at least two out of three biological replicates; and peptides present in both HS and CTRL (96 peptides),, i.e., identified and quantified in at least two out of three biological replicates both in HS and CTRL samples).
Peptides were considered increased or decreased if they were present only in either the healthy (CTRL) or hemorrhagic (HS) group or, in the case of the 96 peptides found in both groups, if they showed 50% fold change differences (>1.5-fold increase or <0.67-fold decrease) in HS compared with CTRL, as calculated from the ratio of mean XIC-based label-free quantification of the respective biological replicates (11).
Proteins were classified as secreted or non-secreted, and the presence of transmembrane topology was searched by combining the results of five different computer programs: Perseus Annotation, SecretomeP (12), SignalP (13), Phobius (14), TMHMM (15).
Plasma protease activity
The role played in the proteolysis observed following shock by some of the most important digestive enzymes (i.e., trypsin, chymotrypsin, elastase), and by several MMPs known for their proteolytic function in pathologic conditions (16, 17) (i.e., MMP-1, MMP-2, MMP-3, MMP-7, MMP-9, and MMP-14) was determined by matching the C-terminus of the sequences of the peptides identified in the MS-based analysis with the cleavage site specificities of the proteases.
The relative contribution of a specific protease to the overall proteolytic activity was estimated: in the case of HS, as the ratio between the number of peptides generated by the protease and found to be present only in HS or in a higher concentration versus CTRL, and the total number of peptides present in the HS sample; in the case of CTRL, as the ratio between the number of peptides generated by the protease and found to be present only in CTRL or in a higher concentration versus HS, and the total number of peptides present in the CTRL sample. The data were also analyzed by a Fisher's exact test to detect statistically significant enrichment (increase and/or decrease) in the fraction of peptides potentially generated by a specific protease in HS or CTRL as compared with all peptides detected and quantified.
To cross-validate the estimates of protease activity derived from the peptidomics-based approach described above, serine protease activity in the plasma was determined by gelatin zymography, as performed by SDS-PAGE gels containing 80 μg/mL gelatin. Gels were renatured by four 15-min washes with 2.5% Triton X-100 and incubated overnight at 37°C in developing buffer (0.05 M Tris base, 0.2 M NaCl, 4 μM ZnCl2, 5 mM CaCl2·2H2O). Gels were subsequently stained (50% methanol, 10% acetic acid, 40% water, and 0.25% Coomassie blue solution) for 1 h before destaining in buffer (10% methanol, 10% acetic acid, 80% water). A standard protein ladder (Invitrogen, Waltham, Mass) was used to estimate the molecular weights of the proteases. Gels were digitized and bands were analyzed in ImageJ (http://imagej.nih.gov/ij/).
Peptidomics of plasma in shock
Shotgun label-free quantitative proteomic analysis is widely used to examine differences in global protein/peptide expression. This approach was utilized to compare the peptidome of plasma samples from healthy and hemorrhagic shock rats with the aim of identifying and quantifying the peptides present in plasma. These data serve to elucidate the possible role of uncontrolled proteolytic activity in shock. Figure 1 provides an overview of the workflow.
Due to the high complexity and wide dynamic range of plasma proteins, we applied a new two-step enrichment method to selectively extract peptides and low molecular weight (LMW) components, which are low abundant in plasma. The process consists of an ultrafiltration step with a 10-kDa cut-off filter followed by a precipitation step conducted with a dissociating solution to increase the recovery of LMW molecules. To optimize reproducibility and quantification, each sample was then analyzed directly by LC-ESI MS/MS without any further separation step of the peptides mixture using the so-called shotgun approach. Analyses were performed on three biological replicates (three CTRL vs. three HS rats), each one analyzed three times (three technical replicates).
One hundred twenty-six and 295 peptides were identified in the CTRL and HS groups, respectively (Fig. 2A); among the 96 peptides present in both CTRL and HS, 57 increased (>1.5 fold-change) and 30 decreased (<0.67 fold change) in concentration in HS. Overall, the analysis identified 256 peptides, which were increased or present only in HS while 60 peptides were decreased or present only in the healthy group (CTRL). These peptides are listed in Tables 1 and 2 respectively, clearly showing a significantly increased number of peptides derived from an intrinsic proteolytic activity in HS samples in comparison with CTRL.
Computational identification of secreted and transmembrane proteins by means of prediction tools including Secreome P, SignalP, Phobius in combination with TMHMM allowed determination of the proteins from which the peptides originated (Fig. 2B and Tables 3 and 4). The tables report also the analysis carried out using the reference Plasma Proteome Database (http://www.plasmaproteomedatabase.org/), which contains a list of the plasma and serum proteins from healthy individuals. Among the peptides that increased or were present only in HS samples, 73% originated from proteins described as secreted or transmembrane while 23% (60 peptides out of 256) originated from 51 proteins out of 124 (41%) that are classified as nonsecreted. Moreover, 72% of the proteins have been previously reported in plasma according to the Plasma Proteome Database.
A higher protease activity was found in plasma samples following hemorrhagic shock. In particular, the analyses took into account, as possible effector enzymes for the previously described proteolysis, the main intestinal serine proteases (trypsin-like, chymotrypsin-like, and elastase-like enzymes) and the most common MMPS (i.e., MMP-1, MMP-2, MMP-3, MMP-7, MMP-9, and MMP-14). Both those peptides, which were increased or present only in the HS group, and peptides which were increased or present only in the CTRL group were examined, taking into account the C-terminus of each peptide and the cleavage site specificities of the proteases. In this way, it was possible to elaborate on the possible families of enzymes responsible for the cleavage of the proteins listed in the tables and the subsequent generation of the related peptides. This analysis showed a huge increase in peptides generated by all proteolytic enzymes examined, in particular a significant increase of peptides possibly generated by chymotryptic-like enzymes: 53% in post-shock plasma compared with 22% in control, (Fisher's exact test P value of 8.06E-06) (Fig. 3 and Table 5).
Consistent with the results from the peptidomic analysis, zymography demonstrated a significant increase in serine-protease activity in HS compared with CTRL plasma, with increased activity at a molecular weight compatible with that expected for chymotrypsin (Fig. 4).
The main finding of this work is that plasma displays an increase in peptides possibly generated by serine proteases after hemorrhagic shock, linking proteases to the larger presence of circulating peptides. Our data support and quantitatively confirm for the first time the hypothesis of extensive, system-wide proteolytic cleavage as part of the pathologic phenomena occurring in shock.
The importance of proteomics as a tool to shed light on the mechanisms underlying cardiovascular disease, and to propose biomarkers for early diagnosis and monitoring of the responsiveness to therapy has already been recognized (6, 18, 19) but, to our knowledge, no systematic study has utilized a peptidomic approach to investigate systemic proteolysis in the general and highly complex context of the possible pathological mechanisms taking place in shock. Therefore, a high-throughput mass spectroscopy-based approach as the peptidomic one described in this work appeared ideal to quantitatively investigate the problem of enzymatic proteolysis in hemorrhagic shock.
Several studies have examined lymph proteins in hemorrhagic shock (20–23). The assumption in these studies is that the mesenteric lymph is a vehicle for injurious factors produced or released in the intestine, which are mediators of severe injury to organs distal other than the intestine. However, analysis of the lymph, despite its importance for understanding the generation and early transport of cytotoxic mediators, has the disadvantage of a more limited translational potential, due to the difficulty of collecting gut lymph samples from shock patients. In contrast, further investigations, initially conducted using this mass spectrometry-based approach with plasma (a very easily available and abundant source) and involving a suitable larger number of animals and conditions, may lead to the detection of potential biomarkers which could then be routinely quantified using widespread and much less demanding detection techniques, such as antibody-based methods.
A common finding in previous reports is that several proteins are upregulated in shock lymph, especially proteins with inflammatory and procoagulation properties. D’Alessandro et al. (23) reported that the upregulation of such proteins is accompanied by an impaired homeostasis of the balance between proteases and anti-proteases, especially serine proteases and MMPs, and that this could entail an activation of neutrophils following extracellular matrix metalloproteinase involvement. These observations are consistent with the evidence that digestive enzymes can promote “autodigestion” (2–5). Hence, we took the next step in this investigation, the analysis of peptides in plasma, with the goal of looking for evidence of proteolytic processes in shock, which could prove impactful in future clinical studies.
Several categories of proteins were affected by the proteolysis detected in our study:
- heat shock proteins related to mitochondrial function, which are known to be impaired in shock (24, 25);
- serine protease inhibitors (inter alpha-trypsin inhibitors, serine protease inhibitor A3N and A3K, plasma protease C1 inhibitor, alpha macroglobulins, etc.), indicating a possible response of the antiproteases to the increased concentrations of circulating serine proteases in shock, and possibly suggesting that the increased protease activity produces extensive proteolysis because of a failure of the physiologic self-defense against proteases;
- several cytoplasmic (e.g., aspartate aminotransferase) and membrane proteins (e.g., β2 microglobulin), suggesting that the degradation process also occurs inside cells or that cell contents leak into the bloodstream and become substrates for circulating proteases;
- proteins involved in the coagulation cascade, typically involved in the response to hemorrhage, such as fibrinogen, coagulation factor XII, etc.;
- proteins involved in the inflammatory response initiated by hemorrhage, and specifically in the innate immune response, such as C-reactive protein, complement proteins, macrophage migration inhibitory factors, thymosin β4, etc.
Many of the proteins from which the newly found fragments in shock are derived, besides being involved in a system-wide inflammatory and procoagulant response, are also typically associated with organ dysfunction, especially in the liver and the heart, and their presence in the plasma of HS patients, if verified, could serve as markers of organ failure and shock progression. The possible relationship between proteolysis and organ failure should be further investigated also on the basis of the result showing that the large majority of the cleaved proteins, from which the peptides increased in HS were generated, are cytoplasmic and membrane proteins. This could indicate cellular damage, which may play a role in organ dysfunction.
The enhanced activity of chymotrypsin-like proteases, estimated from the number of peptides generated by these enzymes with respect to the total number of peptides generated by proteolysis in shock, represents an important finding, which integrates previous data on protease activity in plasma and vital organs (2–5). Low-throughput, semiquantitative techniques such as gel or in situ zymography are unable to discriminate among serine proteases. This intrinsic limitation of these approaches was overcome by the quantitative nature of mass spectroscopy.
It is important to observe that, despite the fact that chymotrypsin-like enzymes appear to be responsible for much of the proteolytic generation of peptides in shock, all the proteolytic enzymes analyzed and reported in Table 5, including elastase-like and MMPs, generate a larger number of peptides in shock than in control animals. However, the overwhelming contribution of chymotrypsin-like enzymes (more than 50% of peptides generated in shock) leads to an apparently limited contribution (i.e., percentage value of peptide generation, Table 5) of other proteases.
An important implication of our findings is that they fit and validate previous reports on the possible effects of digestive enzymes which escape the intestinal lumen because of the damage that gut ischemia induces in the mucosal barrier (2–5) and cause damage in distal organs (“Autodigestion Hypothesis”). The proteolytic activity was not only reported to be increased in plasma, but also in distal organs, and the framework of the Autodigestion Hypothesis first provided a possible explanation for the role of digestive proteases in the organ damage which characterizes circulatory shock. In particular, it was reported that the proteolytic function of these enzymes affects transmembrane receptor integrity, e.g., shock was shown to reduce the density of the extracellular domain of the insulin receptor (26). The results presented in this manuscript do not include the presence of fragments of the extracellular domain of transmembrane receptors such as the insulin receptor, possibly because of the relative low abundance in comparison to other more abundant plasma proteins. Still, the hypothesis that proteolytic activity takes place and coincides with increased activity of digestive enzymes, such as the chymotrypsin-like enzymes, was quantitatively validated by the findings obtained through the proposed peptidomic approach.
The choice of the experimental hemorrhagic shock model, and the related advantages and possible pitfalls of this model deserve to be discussed as well. This study used the Fixed-Pressure Hemorrhage (Wiggers) model, which is one of the standard models for experimental hypovolemic shock. The predicted mortality rate for this type of model exceeds 75% (4), and animals that do not survive consistently demonstrate multiorgan failure as measured by gross tissue examination, histology, and certain cellular and tissue markers (e.g., Troponin I, lung wet/dry ratios).
As detailed by Fülöp et al. (27), this model has the advantage of being highly standardized, controlled, and reproducible, and as such is optimal for the study of the pathophysiology and proteomics/peptidomics of shock. In particular: the controlled procedure for blood withdrawal and return (executed at the same rate of 0.5 cc/min, as explained in the Materials and Methods section) is completely reproducible; the objective control of the hemodynamic state of the animal during hypovolemia is ensured by the maintenance of blood pressure around the target value of 35 mmHg; the monitoring of conditions such as body temperature (decreased following bleeding, constant throughout the hypovolemic phase, and increased again to physiologic levels upon reperfusion) is conveniently repeatable. All these elements are consistently observed in our experience with this HS model (3–5, 26). Of particular benefit for proteomics/peptidomics studies is this particular model minimizes trauma to the animals (e.g., a laparotomy was not done), mitigating the potential for confounders to the analysis of hemorrhage per se.
One of the main technical requirements of the Fixed-Pressure Hemorrhage model (and of every experiment where the animal is cannulated) is the use of anticoagulation to prevent the clotting of catheters and ensure the ability to withdraw, add, and store whole blood during the ischemic period. We used systemic heparinization in both the shock and control groups, which prevented any bias between the shock and the control groups. However, there could be a potential limitation of our results in that heparin may have potentially interfered with proteolytic mechanisms, specifically the clotting cascade. Heparin increases (up to 600-fold (28, 29)) the inhibitory activity of antithrombin, a serpin (serine protease inhibitor) that binds, upon activation by heparin (10, 28–30), to thrombin, trypsin, and other coagulation factors. Further, proteases other than circulating serine proteases have been shown to be inhibited more effectively in the presence of heparin (10). This may have led to an underestimate of the amount of proteolytic activity and subsequent peptide generation occurring in shocked animals compared with controls; thus our observations are most likely conservative in nature.
A second limitation of the experimental model is the necessity for storage of the drawn blood during hypovolemia. In order to maintain mean arterial pressure around the target level (i.e., ∼35 mmHg in this experiment), it may be necessary to draw and/or reinfuse small aliquots of blood during the 2-h hypovolemic phase, and this requires that the shed blood is readily available at body temperature. Previous reports from our laboratory obtained in both hemorrhagic and non-hemorrhagic shock models, which do not entail ex vivo storage of blood for a predefined amount of time (e.g., splanchnic arterial occlusion shock or septic (peritonitis) shock or by endotoxin administration), have consistently shown that protease levels and activity are increased in shock independent of the model studied (4, 31–33). Still, the possible effect of the storage of the shed (heparinized) blood at room temperature on excess proteolytic activity should be limited. Zimmerman et al. demonstrated that the temperature (including the range of room temperatures) and time of storage do not affect significantly blood proteins, which are broadly stable at the peptide level (34). Additionally, heparin also has a protective effect on the stability of whole blood proteins at room temperatures, as reported by Henriksen et al. (35).
Conclusions and perspectives
In summary, the main conclusions of this study are
- a quantitative confirmation that massive proteolysis occurs on the organism scale as a fundamental degrading phenomenon induced by shock;
- serine proteases, whose plasma activity is increased in shock, are largely responsible for the observed proteolysis;
- the experimental conditions of sample treatment and analysis suitable for the future identification of novel biomarkers of hemorrhagic shock in plasma have been set up.
One of the limitations of our study is the presentation of a “static” picture of the effect of shock at the end of the hypovolemia and reperfusion experiment. However, the possibility of collecting multiple blood samples in the rat is strongly limited by the sensitivity of the animal to blood withdrawal, especially during the hypovolemic phase, and a dynamic description of the phenomena reported in this manuscript during a similar hemorrhagic shock protocol requires the use of larger animals. Another possible limitation concerns the low number of animals included in the study. However, the use of technical replicates, which ensures robustness to the results obtained from each biological replicate, and the detection of a large increase in proteolytically produced peptides in all HS samples compared with CTRL, allows us to conclude that the present data fully support the direct experimental evidence of a general proteolytic activity in shock.
The role of the peptides, which are generated in shock, should be the subject of future analyses, given their potential role in shock. For example, vasoactive intestinal peptides, which are generated in the gut and promote cardiovascular responses (e.g., vasodilation and blood pressure reduction), are an example of peptides with patho-physiological relevance, to be further investigated, particularly in circulatory shock. If peptides present only in plasma from hemorrhagic shock animals, but not in control plasma, have possible vasoactive effects, they could become important pathogenic factors to study in the context of organ dysfunction induced by shock as well as new therapeutic targets.
The results presented in this manuscript serve as a starting point toward validation in large animals and clinical studies, in which an appropriate design should also include the assessment of the “dynamic” effects of shock on the peptidome and proteome (i.e., several blood samples over time from the same subject). Such studies should also propose the test of protease blockade as a cornerstone of an innovative therapeutic approach to protein degradation and peptide formation in circulatory shock.
1. Vincent JL, De Backer D. Circulatory shock. N Engl J Med
2013; 369 18:1726–1734.
2. Schmid-Schönbein GW, Chang M. The autodigestion hypothesis for shock and multi-organ failure. Ann Biomed Eng
2014; 42 2:405–414.
3. Altshuler AE, Penn AH, Yang JA, Kim GR, Schmid-Schönbein GW. Protease activity increases in plasma, peritoneal fluid, and vital organs after hemorrhagic shock
in rats. PLoS One
2012; 7 3:e32672.
4. DeLano FA, Hoyt DB, Schmid-Schönbein GW. Pancreatic digestive enzyme blockade in the intestine increases survival after experimental shock. Sci Transl Med
2013; 5 169:169ra11.
5. Altshuler AE, Richter MD, Modestino AE, Penn AH, Heller MJ, Schmid-Schönbein GW. Removal of luminal content protects the small intestine during hemorrhagic shock
but is not sufficient to prevent lung injury. Physiol Rep
2013; 1 15:e00109.
6. Langley RJ, Tsalik EL, van Velkinburgh JC, Glickman SW, Rice BJ, Wang C, Chen B, Carin L, Suarez A, Mohney RP, et al. An integrated clinico-metabolomic model improves prediction of death in sepsis. Sci Transl Med
2013; 5 195:195ra95.
7. Lai X, Witzmann FA, Liangpunsakul S. Characterization of peptides and low molecular weight proteins in plasma from subjects with hepatocellular carcinoma. A Proteomics
2014; 1 1:6.
8. Chertov O, Biragyn A, Kwak LW, Simpson JT, Boronina T, Hoang VM, Prieto DA, Conrads TP, Veenstra TD, Fisher RJ. Organic solvent extraction of proteins and peptides from serum as an effective sample preparation for detection and identification of biomarkers by mass spectrometry
2004; 4 4:1195–1203.
9. Cox J, Mann M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol
2008; 26 12:1367–1372.
10. Higgins WJ, Fox DM, Kowalski PS, Nielsen JE, Worrall DM. Heparin enhances serpin inhibition of the cysteine protease cathepsin L. J Biol Chem
2010; 285 6:3722–3729.
11. Luerman GC, Nguyen C, Samaroo H, Loos P, Xi H, Hurtado-Lorenzo A, Needle E, Stephen Noell G, Galatsis P, Dunlop J, et al. Phosphoproteomic evaluation of pharmacological inhibition of leucine-rich repeat kinase 2 reveals significant off-target effects of LRRK-2-IN-1. J Neurochem
12. Dyrløv Bendtsen J, Juhl Jensen L, Blom N, von Heijne G, Brunak S. Feature based prediction of non-classical and leaderless protein secretion. Protein Eng Des Sel
2004; 17 4:349–356.
13. Petersen T, Brunak S, von Heijne G, Henrik Nielsen H. Signal P 4.0: discriminating signal peptides from transmembrane regions. Nat Methods
14. Käll L, Krogh A, Sonnhammer ELL. A combined transmembrane topology and signal peptide prediction method. J Mol Biol
2004; 338 5:1027–1036.
15. Krogh A, Larsson B, von Heijne G, Sonnhammer E. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol
2001; 305 3:567–580.
16. Turk Be, Huang LL, Piro ET, Cantley LC. Determination of protease cleavage site motifs using mixture-based oriented peptide libraries. Nat Biotecnol
17. Thrailkill K, Cockrell G, Simpson P, Moreau C, Fowlkes J, Bunn RC. Physiological matrix metalloproteinase (MMP) concentrations: comparison of serum and plasma specimens. Clin Chem Lab Med
2006; 44 4:503–504.
18. Edwards AV, White MY, Cordwell SJ. The role of proteomics in clinical cardiovascular biomarker discovery. Mol Cell Proteomics
2008; 7 10:1824–1837.
19. Shen X, Young R, Canty JM, Qu J. Quantitative proteomics in cardiovascular research: global and targeted strategies. Proteomics Clin Appl
2014; 8 (7–8):488–505.
20. Peltz ED, Moore EE, Zurawel AA, Jordan JR, Damle SS, Redzic JS, Masuno T, Eun J, Hansen KC, Banerjee A. Proteome and system ontology of hemorrhagic shock
: exploring early constitutive changes in postshock mesenteric lymph. Surgery
2009; 146 2:347–357.
21. Fang JF, Shih LY, Yuan KC, Fang KY, Hwang TL, Hsieh SY. Proteomic analysis of post-hemorrhagic shock
mesenteric lymph. Shock
2010; 34 3:291–298.
22. Mittal A, Middleditch M, Ruggiero K, Loveday B, Delahunt B, Jüllig M, Cooper GJ, Windsor JA, Phillips AR. Changes in the mesenteric lymph proteome induced by hemorrhagic shock
2010; 34 2:140–149.
23. D’Alessandro A, Dzieciatkowska M, Peltz ED, Moore EE, Jordan JR, Silliman CC, Banerjee A, Hansen KC. Dynamic changes in rat mesenteric lymph proteins following trauma using label-free mass spectrometry
2014; 42 6:509–517.
24. Jeger V, Djafarzadeh S, Jakob SM, Takala J. Mitochondrial function in sepsis. Eur J clin Invest
2013; 43 5:532–542.
25. Villarroel JP, Guan Y, Werlin E, Selak MA, Becker LB, Sims CA. Hemorrhagic shock
and resuscitation are associated with peripheral blood mononuclear cell mitochondrial dysfunction and immunosuppression. J Trauma Acute Care Surg
2013; 75 1:24–31.
26. DeLano FA, Schmid-Schönbein GW. Pancreatic digestive enzyme blockade in the small intestine prevents insulin resistance in hemorrhagic shock
2014; 41 1:55–61.
27. Fülöp A, Turóczi Z, Garbaisz D, Harsányi L, Szijártó A. Experimental models of hemorrhagic shock
: a review. Eur Surg Res
2013; 50 2:57–70.
28. Jin L, Abrahams JP, Skinner R, Petitou M, Pike RN, Carrell RW. The anticoagulant activation of antithrombin by heparin. Proc Natl Acad Sci U S A
1997; 94 26:14683–14688.
29. Yang L, Manithody C, Rezaie AR. Heparin-activated antithrombin interacts with the autolysis loop of target coagulation proteases. Blood
2004; 104 6:1753–1759.
30. Whisstock JC, Pike RN, Jin L, Skinner R, Pei XY, Carrell RW, Lesk AM. Conformational changes in serpins: II. The mechanism of activation of antithrombin by heparin. J Mol Biol
2000; 301 5:1287–1305.
31. Altshuler AE, Lamadrid I, Li D, Ma SR, Kurre L, Schmid-Schönbein GW, Penn AH. Transmural intestinal wall permeability in severe ischemia after enteral protease inhibition. PLoS One
2014; 9 5:e96655.
32. Chang M, Alsaigh T, Kistler EB, Schmid-Schönbein GW. Breakdown of mucin as barrier to digestive enzymes in the ischemic rat small intestine. PLoS One
2012; 7 6:e40087.
33. Penn AH, Schmid-Schönbein GW. Severe intestinal ischemia can trigger cardiovascular collapse and sudden death via a parasympathetic mechanism. Shock
2011; 36 3:251–262.
34. Zimmerman LJ, Li M, Yarbrough WG, Slebos RJ, Liebler DC. Global stability of plasma proteomes for mass spectrometry
-based analyses. Mol Cell Proteomics
2012; 11 6: M111014340.
35. Henriksen LO, Faber NR, Moller MF, Nexo E, Hansen AB. Stability of 35 biochemical and immunological routine tests after 10 hours storage and transport of human whole blood at 21 °C. Scand J Clin Lab Invest
2014; 74 7:603–610.
Keywords:© 2016 by the Shock Society
Hemorrhagic shock; mass spectrometry; matrix metalloproteases; peptidomics; proteolysis; serine-proteases