Abstract
Background
Recent studies have suggested that excessive formation of neutrophil extracellular traps (NETs) plays a critical role in the pathogenesis of sepsis. Although elevation of the plasma level of cell-free DNA (cf-DNA) has been reported in sepsis patients, there has been little direct measurement of circulating free NETs such as myeloperoxidase-conjugated DNA (MPO-DNA). The objectives of this study were to detect NETs in the bloodstream of patients with septic shock, and to assess the correlations of circulating NET levels with organ dysfunction, disease severity, and mortality.
Methods
Fifty-five patients with septic shock admitted to the intensive care units (ICUs) of 35 Japanese hospitals were studied. Septic shock was diagnosed according to the 1997 definition of the American College of Chest Physicians/Society of Critical Care Medicine. To detect circulating NETs, plasma levels of MPO-DNA and cf-DNA were measured by sandwich enzyme-linked immunosorbent assay and by fluorometric assay on days 1, 3, and 7 after the onset of septic shock. Physiological and mortality data were collected from the clinical database.
Results
On days 1, 3, and 7, the patients showed a marked increase in plasma MPO-DNA levels compared with healthy volunteers, whereas the plasma cf-DNA level was only increased significantly on day 1 and then decreased rapidly. A high MPO-DNA level on days 3 and 7 were associated with 28-day mortality.
On days 3 and 7, the MPO-DNA levels were inversely correlated with both the mean arterial pressure and the PaO2/FIO2 ratio, whereas the cf-DNA level was not correlated with either parameter. There was a positive correlation between the plasma MPO-DNA level and the sepsis-related organ failure assessment score on days 3 and 7. Neither cf-DNA nor MPO-DNA levels were correlated with the disseminated intravascular coagulation (DIC) score or the platelet count.
Conclusion
The increase in circulating MPO-DNA in patients with septic shock indicates acceleration of NET formation in the early stages of sepsis. High MPO-DNA levels are associated with the severity of organ dysfunction and 28-day mortality due to septic shock, but not with the DIC score. These results suggest that excessive NET formation contributes to the pathogenesis of septic shock.
Electronic supplementary material
The online version of this article (10.1186/s13054-018-2109-7) contains supplementary material, which is available to authorized users.
Keywords: Neutrophil extracellular traps, Septic shock, Cell-free DNA, Myeloperoxidase, Neutrophil elastase, SOFA score, DIC
Background
Sepsis is frequently encountered in the intensive care unit (ICU) and has a high mortality rate [1], and so the development of more efficient methods for diagnosis and treatment is required. Methods of assessing the severity of sepsis include the Acute Physiological and Chronic Health Evaluation (APACHE) II score [2] and the Sepsis-Related Organ Failure Assessment (SOFA) score [3]. In addition, numerous biomarkers [4] are frequently used to predict morbidity and mortality in patients with sepsis, including acute-phase proteins such as procalcitonin, C-reactive protein, inflammatory cytokines and chemokines, cell surface proteins of inflammatory cells, and coagulation markers. While these physiological scores and biomarkers are useful, novel biomarkers that can achieve more reliable early diagnosis and assist therapeutic decision making are urgently needed.
Neutrophil extracellular traps (NETs) are a potential biomarker for sepsis because neutrophils are the most abundant of the leukocytes and play a central role in the pathogenesis of sepsis. Neutrophils attack extracellular microbes by releasing toxic proteins and enzymes, including myeloperoxidase (MPO), neutrophil elastase (NE), and defensins, from their granules through the process of degranulation [5].
Recently, detection of DNA fragments circulating in the bloodstream known as cell-free DNA (cf-DNA) has received increasing attention as a prognostic marker. The plasma level of cf-DNA has been examined in various acute and chronic disorders, including trauma [6, 7], sepsis [8], cancer [9], stroke [10], and myocardial infarction [11]. However, plasma cf-DNA levels are not only increased as a result of release from NETs but are also elevated by cellular necrosis and apoptosis. Thus, only detecting an increase in cf-DNA is insufficient evidence to verify NET formation [12].
NET remnants are complexes formed between DNA and neutrophil-derived proteins, including MPO and NE. Myeloperoxidase-conjugated DNA (MPO-DNA) and neutrophil elastase-conjugated DNA (NE-DNA) can be detected in body fluids by enzyme-linked immunosorbent assay (ELISA) as an objective, quantitative, and specific marker of NET formation [13–15]. In this study, circulating levels of soluble NET remnants (MPO-DNA and cf-DNA) were investigated in patients with septic shock to evaluate the extent of NET formation during sepsis.
The aim of this study was to compare the plasma levels of MPO-DNA and cf-DNA between septic shock patients and healthy volunteers, as well as to investigate the relationship of circulating NET levels with 28-day mortality, organ dysfunction, and known parameters of the severity of sepsis.
Methods
Patients
The present study was a secondary analysis of a previous prospective observational multicenter cohort study that investigated the incidence and prognosis of septic shock in Japan (Japan Sepsis Study). That study was conducted from April 2008 to March 2010, enrolling patients admitted to the ICUs of 35 Japanese hospitals, among whom 31 patients were eligible for the present study. In addition, collection of medical data and blood samples was continued at the ICU of Aichi Medical University Hospital according to the same study design from April 2011 to July 2017, proving another 24 patients for this study (55 in total). The ethics committee at each hospital approved the protocol of this study, and informed consent was obtained from each patient or from a relative or legal representative if direct consent could not be obtained.
Fifty-five patients with septic shock aged between 36 and 91 years were enrolled who met both of the following criteria: 1) systemic inflammatory response syndrome (SIRS) caused by infection (according to the consensus definition of the American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference Committee [16]); and 2) hypotension (systolic blood pressure ≤ 90 mmHg or decrease in systolic blood pressure ≥ 40 mmHg from baseline) persisting for at least 1 h despite adequate fluid infusion and requiring pressor agents to maintain a systolic blood pressure around 90 mmHg or mean arterial pressure (MAP) < 65 mmHg, associated with hypoperfusion (including lactic acidosis, oliguria, and/or acute changes of mental state) [16]. SIRS was diagnosed if patients had at least two of the following clinical features: temperature < 36 °C or > 38 °C; heart rate > 90/min; respiration rate > 20/min or arterial PCO2 < 32 mmHg; and white blood cell count > 12,000/mm3 or < 4000/mm3, or left shift of the differential white blood cell count with band forms ≥ 10% [17]. The exclusion criteria were terminal cancer, terminal hematological illness, severe hepatic dysfunction (total bilirubin ≥ 10 mg/dl and hepaplastin test ≤ 40%), and refusal to provide written consent. Disseminated intravascular coagulation (DIC) was diagnosed based on the Japanese Association for Acute Medicine DIC diagnosis criteria [18]. All patients were managed according to the Surviving Sepsis Campaign protocol 2008 [19], including fluid resuscitation, use of vasopressors, transfusion, and timely initiation of antibiotic therapy. The following data were obtained from an established registry database: demographic information, site of infection, results of culture and laboratory tests, hemodynamic variables, and therapeutic interventions. All patients were followed up for 28 days after enrollment to assess the 28-day mortality rate. To evaluate organ dysfunction and the severity of sepsis, the SOFA score [3] and the APACHE II score [2] were determined. The control subjects were 13 healthy age-matched volunteers with no significant acute or chronic illnesses.
Collection of blood samples and testing
Patients provided consent for collection of serial blood samples on days 1, 3, and 7 after the onset of septic shock. The first blood sample was collected within 6 h of the patient meeting the diagnostic criteria for septic shock and was processed within 1 h of collection. Blood samples were also obtained from 13 healthy volunteers. Venous or arterial blood was collected aseptically into heparinized pyrogen-free tubes to determine the plasma levels of MPO-DNA and cf-DNA as well as various cytokines. Each blood sample was centrifuged at 1500 × g for 10 min at 4 °C and the plasma thus obtained was frozen at −80 °C for assay of cytokines. Plasma samples for measurement of MPO-DNA and cf-DNA were centrifuged further at 16,000 × g for 10 min to remove any residual cells [20].
Measurement of MPO-DNA
The plasma level of MPO-DNA was measured by ELISA as described previously [14]. In brief, quantitative detection of MPO-DNA was performed using a “sandwich” ELISA with anti-MPO monoclonal antibody (Merck Millipore Corp., catalog no. 07–496) and peroxidase-conjugated anti-DNA monoclonal antibody (Roche Diagnostics, Indianapolis, IN, USA; Cell Death Detection ELISA no. 1154467500: bottle 2). The wells of microtiter strips were coated with a monoclonal antibody specific for MPO to capture MPO-DNA derived from NETs. A peroxidase substrate (2,2’-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)) was added, which reacted with the bound peroxidase to yield a soluble green product detected at 405 nm. Absorbance readings were proportional to the amount of bound horseradish peroxidase-labeled anti-DNA monoclonal antibody. Results are expressed in arbitrary units. A standard curve for the MPO-DNA assay is shown in Additional file 1: (Figure S1). The optical density (OD) reached a plateau at a sample volume of approximately 50 μl (Additional file 1: Figure S1A, B). Plots of the OD at 405 nm versus sample volume displayed good linearity (R2 = 0.971) when OD was < 1.5 (Additional file 1: Figure S1B), and thus the MPO-DNA assay was performed within this range.
Measurement of cf-DNA
The plasma level of cf-DNA was quantified with the Quant-iT PicoGreen dsDNA assay (Life Technologies, CA) according to the manufacturer’s instructions [9]. Briefly, the calf thymus DNA standards (0 to 2 μg/ml) were diluted and incubated for 2 min with Quant-iT PicoGreen reagent at room temperature before measurement of fluorescence to create a standard curve. Samples were compared with the standard curve and results were expressed in ng/ml. Fluorescence intensity (reflecting the DNA content) was measured with a QUBIT® 2.0 Fluorometer (Life Technologies, CA) at 485 nm (excitation) and 538 nm (emission).
Measurement of interleukin (IL)-6 and IL-8
Plasma levels of IL-6 and IL-8 were measured with ELISA kits (Bio-source, Carlsbad, CA) according to the manufacturer’s instructions.
Statistical analysis
Data were collected in MS Windows Office Excel 2011. All statistical analyses were performed using SigmaPlot software, version 14 (Systat Software Inc., CA, USA). Categorical variables are reported as absolute values and percentages, while continuous variables are shown as the median with the interquartile range. Repeated measures analysis of variance was used to compare cf-DNA and MPO-DNA levels at three time points (days 1, 3, and 7). Comparisons between paired nonsurvivors and survivors were performed by the Wilcoxon rank sum test. Pearson product-moment correlation coefficient was measured to explore the relationships among the SOFA score, MAP, PaO2/FIO2 (P/F) ratio, DIC score, platelet count, and plasma levels of MPO-DNA and cf-DNA. To determine the discriminative power of MPO-DNA and cf-DNA for 28-day survival, we constructed receiver operating characteristic (ROC) curves and calculated the area under each curve together with its 95% confidence interval (CI).
Results
Patient characteristics
The demographic profile and the severity scores calculated in the ICU are summarized in Table 1. All 55 patients fulfilled the criteria for the diagnosis of septic shock, including 29 patients with DIC and 32 patients with adult respiratory distress syndrome (ARDS). Their median age was 68 years, with 71% being men and 29% being women. The 28-day mortality rate was 33%. Among the 55 patients, the source of sepsis was gastrointestinal tract infection in 31, urinary tract infection in 9, respiratory tract infection in 10, and soft tissue infection in 4 patients, while 1 patient had primary bacteremia. Twenty-six patients had undergone surgery before admission to ICU and 8 patients had community/hospital acquired infections. Gram-negative bacilli were isolated from 33 patients, gram-positive cocci were detected in 14 patients, and Candida albicans was found in 1 patient. In the remaining 7 patients, no isolates were identified.
Table 1.
Characteristic | Patients with septic shock (n = 55) |
Control subjects (n = 13) |
P value |
---|---|---|---|
Age (years) | 68 (55–79) | 60 (49–71) | 0.47 |
Male, n (%) | 39 (71) | 8 (62) | 0.96 |
ICU stay (days) | 10 (7–18) | n/a | |
Site of infection, n (%) | n/a | ||
Abdomen | 31 (56) | – | |
Respiratory tract | 10 (18) | – | |
Urinary tract | 9 (16) | – | |
Skin/Soft tissue | 4 (7) | – | |
Others | 1 (2) | – | |
Community/hospital infections, n (%) | 8 (15) | n/a | |
Pathogen, n (%) | n/a | ||
Gram-positive | 14 (27) | ||
Gram-negative | 33 (62) | ||
Both | 7 (13) | ||
Fungi | 1 (2) | ||
APACHE II score | 23 (20–27) | n/a | |
SOFA score | 12 (9–13) | n/a | |
Comorbidities | None | ||
0, n (%) | 32 (58) | – | |
> 1, n (%) | 23 (42) | ||
Surgery, n (%) | 26 (47) | n/a | |
DIC, n (%) | 29 (53) | n/a | |
Mechanical ventilation, n (%) | 47 (85) | n/a | |
28-day mortality, n (%) | 18 (33) | n/a | |
Plasma cytokine level (pg/ml) | |||
IL-6 | 850 (680–1080) | 28 (25–32) | < 0.001 |
IL-8 | 380 (308–490) | 51 (42–68) | < 0.001 |
Values are shown as median (interquartile range) unless otherwise stated
The APACHE II score ranges from 0 to 71, with low scores indicating better organ function
The SOFA score ranges from 0 to 24, with lower scores indicating better organ function
APACHE Acute Physiology and Chronic Health Evaluation, DIC disseminated intravascular coagulation, ICU intensive care unit, IL interleukin, n/a not applicable, SOFA Sepsis-Related Organ Failure Assessment
Plasma cytokine levels
The plasma level of IL-6 was significantly higher in the patients with septic shock than in the healthy controls (Table 1). The plasma IL-8 level was also significantly higher in the sepsis patients than in the controls (Table 1).
Time course of plasma MPO-DNA and cf-DNA
On days 1, 3, and 7 of septic shock, the plasma MPO-DNA level was significantly higher in the patients compared with the healthy volunteers (Fig. 1). Plasma MPO-DNA remained high until day 7 (Fig. 1). The plasma cf-DNA level on day 1 was significantly higher in the patients compared with the healthy volunteers, but cf-DNA decreased in the patients on day 7 and there was no significant difference from the controls (Fig. 1).
The MPO-DNA level was inversely correlated with both the MAP (Fig. 2a) and the P/F ratio (Fig. 2b) on days 3 and 7 in the patients with sepsis, whereas the cf-DNA level was not correlated with either parameter (Fig. 2a, 2a). In addition, a positive correlation was observed between SOFA score and the plasma MPO-DNA level on days 3 and 7 (Fig. 2c), whereas there was no significant correlation with cf-DNA (Fig. 2c). The cf-DNA and MPO-DNA levels on day 1 were not correlated with MAP, the P/F ratio, or the SOFA score (Additional file 2: Figure S2). In addition, cf-DNA and MPO-DNA levels on days 1, 3, and 7 were not correlated with either the DIC score or the platelet count (Fig. 3 and Additional file 3: Figure S3).
Prognostic value
A high MPO-DNA level on days 3 and 7 of sepsis was associated with 28-day mortality (Fig. 4). On the other hand, there was no correlation between 28-day mortality and the MPO-DNA level on day 1 or the cf-DNA level at any time (Fig. 4). ROC curves with 95% CIs were obtained for prediction of 28-day mortality using MPO-DNA and cf-DNA levels. Regarding the prediction of 28-day mortality, the area under the ROC curve for MPO-DNA on days 1, 3, and 7 of sepsis was 0.66 (p = 0.054, 95% CI 0.51–0.82), 0.74 (p = 0.005, 95% CI 0.33–0.77), and 0.83 (p = 0.0004, 95% CI 0.70–0.97), respectively (Fig. 5). In addition, the area under the ROC curve for cf-DNA on days 1, 3, and 7 of sepsis was 0.55 (p = 0.61, 95% CI 0.51–0.82), 0.44 (p = 0.56, 95% CI 0.22–0.65), and 0.45 (p = 0.59, 95% CI 0.20–0.69), respectively (Fig. 5).
Discussion
This study assessed the profile of plasma MPO-DNA and cf-DNA in patients with septic shock, resulting in three main findings. First, both plasma MPO-DNA and cf-DNA levels were significantly higher in septic shock patients on admission than in healthy volunteers. Second, the plasma MPO-DNA level was closely related to the severity of organ dysfunction, including parameters such as the P/F ratio, MAP, and SOFA score, whereas the MPO-DNA level was not related to the DIC score. Third, a high plasma MPO-DNA levels on days 3 and 7 of sepsis were associated with 28-day mortality.
Elevation of the plasma cf-DNA level in our septic shock patients on admission is consistent with previous reports of a several-fold to hundred-fold increase of cf-DNA in septic patients compared with healthy volunteers [8, 21–23]. Plasma cf-DNA has several potential sources in patients with septic shock, including release from NETs, cellular necrosis or apoptosis, and destruction of pathogens [24]. Thus, circulating cf-DNA in septic shock patients is derived from dead cells or from neutrophils that have undergone NETosis. On the other hand, circulating MPO-DNA is more specific for NETs than cf-DNA [25] because these web-like structures released by activated neutrophils are composed of DNA associated with neutrophil granule proteins such as NE, cathepsin G, and MPO [5]. Elevated plasma levels of MPO-DNA have been reported in patients with transfusion-related acute lung injury [26], ANCA-associated small vessel vasculitis [27], severe coronary atherosclerosis [28], and thrombotic microangiopathy [29], and excessive NET formation is related to the pathogenesis of these conditions. Our finding of an increase in MPO-DNA indicates that NET formation is accelerated in the early stage of septic shock. This is consistent with a recent report by Kaufman et al. who measured plasma NE-DNA complexes to assess circulating NETs and identified an increase in patients with sepsis or burns [30]. They concluded that NET formation is augmented in patients with SIRS regardless of whether the inflammatory insult is infectious or traumatic. The elevated plasma levels of IL-6 and IL-8 observed in patients with septic shock in this study may have facilitated NET formation since various cytokines (including tumor necrosis factor (TNF), IL-1, IL-8, and IL-6) are known to accelerate the production of NETs [31, 32].
While this study revealed a significant increase in both cf-DNA and MPO-DNA levels on day 1 of sepsis, the cf-DNA level declined rapidly and MPO-DNA decreased more slowly. The different changes in these two markers over time can be explained by differing levels of resistance to digestion by DNases [33], which selectively digest the DNA threads of NETs. While cf-DNA is rapidly digested by DNases, MPO-DNA appears to be far more stable and consequently persists for longer in the circulation [34]. However, further investigation will be needed to clarify the detailed mechanisms involved in clearance of circulating NET remnants.
There have been some previous reports that the highest plasma cf-DNA levels are observed in septic shock patients who eventually die, suggesting that cf-DNA could be a useful prognostic marker [8, 20–22, 35]. It has also been reported that elevated plasma levels of cf-DNA predict the development of multiple organ dysfunction in trauma patients [7] and septic patients [8]. However, we found no correlation between the plasma cf-DNA level and mortality, with MPO-DNA being superior to cf-DNA as a prognostic marker in patients with septic shock. The plasma MPO-DNA level was also closely related to several parameters of organ dysfunction, including the P/F ratio, MAP, and SOFA score. These differences in the relation with organ dysfunction or mortality between MPO-DNA and cf-DNA can be explained by the differing specificity of these two markers for NETs. Hamaguchi et al. studied a mouse model of sepsis due to cecal ligation and puncture (CLP), reporting that plasma cf-DNA is not derived from NETs released by activated neutrophils and is mainly from other host cells [36]. In addition, a study performed in sepsis patients showed that cf-DNA predominantly has a low molecular weight (150–250 bp) corresponding to the size of apoptotic nucleosomal DNA [23]. Thus, an increase in cf-DNA is probably related to cellular damage and apoptosis that may occur in various tissues by several mechanisms. Moreover, the influence of impaired renal and hepatic function on clearance of cf-DNA seems to be complex [35]. Taken together, further prospective studies are needed to clarify the origin of cf-DNA and its usefulness as an accurate and sensitive biomarker for sepsis.
At present, it is unclear whether NET formation has an essential role in host defenses against bacterial invasion [37]. In a mouse CLP model, Czaikoski et al. showed that degradation of circulating DNA (a major constituent of NETs) by systemic treatment with recombinant human DNase (rhDNAse) led to earlier death than in the control group, possibly due to an increase in the bacterial load [38]. They concluded that NETs have a beneficial role in killing pathogens and that depletion of NETs leads to aggravation of polymicrobial sepsis. On the other hand, it has been reported that NETs are not required to control bacterial proliferation because congenital absence of NETs in peptidylarginine deiminase 4 knockout mice or treatment with rhDNAse to prevent NET formation did not increase the bacterial load in animals with sepsis [39, 40]. Lefrançais et al. showed that an increase in NETs, as assessed from the plasma level of NE-DNA complexes, was associated with the severity of ARDS, while lower plasma DNase I levels were associated with development of sepsis-induced ARDS [15]. They concluded that strategies to reduce NET levels could have a favorable effect on lung function. The inverse correlation between the plasma NET level and the P/F ratio observed in the present study corresponds to the findings reported by Lefrançais. Although an essential role of NETs in killing pathogens has not been demonstrated at present, our results confirm that excessive NET formation contributes to the development of multiple organ dysfunction and mortality in patients with septic shock.
According to the immunothrombosis hypothesis, NET formation is linked to platelet aggregation and hypercoagulation associated with septic shock [41]. NETs can support immunothrombosis through binding to von Willebrand factor (vWF) [42] and by activation of the platelet Toll-like receptor (TLR)4-dependent interaction between platelets and neutrophils [43]. However, we found no correlation between the DIC score and the plasma MPO-DNA level in the present study. Consistent with our result, Kaufman et al. reported that neither platelet TLR4 nor plasma vWF levels were correlated with plasma NE-DNA in sepsis patients, suggesting that these two factors are not involved in the acceleration of NETosis in this condition [30]. Very recently, Delabranche et al. showed that circulating NET levels (assessed by measuring plasma MPO-DNA) are elevated in sepsis patients with DIC compared with sepsis patients without DIC [44], and they suggested that NETs may play a critical role in the onset of DIC accompanying sepsis. The discrepancies between these studies may be attributable to differences in the methods of measuring circulating NETs, as well as differences in the patients enrolled, statistical analysis, and treatment (including anticoagulant therapy for DIC). Anticoagulant therapy, including antithrombin, recombinant thrombomodulin (rTM), and protease inhibitor supplementation, is strongly recommended in the Japanese guidelines for management of DIC [45, 46], and these therapies may affect the formation of NETs. Recently, administration of antithrombin was reported to reduce NET formation in the lungs during lipopolysaccharide (LPS)-induced endotoxemia [47]. Serine protease inhibitors [48] and rTM [49] are also known to inhibit formation of NETs in vitro.
Some limitations of the present study should be considered. We only examined a limited number of patients, which means that our results require validation on a larger scale. Another limitation is that our age-matched control group consisted of healthy volunteers and not critically ill patients with or without sepsis. Therefore, our findings may have been due to acute illness or underlying comorbidities and not necessarily related to septic shock per se.
Conclusions
We demonstrate that the plasma MPO-DNA level is significantly increased in septic shock. The MPO-DNA level was closely related to 28-day mortality and to markers of the severity of organ dysfunction, including the P/F ratio, MAP, and SOFA score. These findings support the concept that NET formation is accelerated in sepsis and contributes to the pathogenesis of septic shock. Further investigation will be required to clarify the role of NETs in DIC. It is possible that development of therapeutic interventions targeting NETs may be worthwhile for preventing organ dysfunction and improving the outcomes of sepsis. Finally, MPO-DNA is a sensitive and accurate marker of septic shock that can be tested rapidly and noninvasively.
Additional files
Acknowledgements
The authors would like to thank Dr. Md. Monirul Islam for his valuable comments and advice.
Funding
The study was funded by JSPS KAKENHI Grant-in-Aid for Young Scientists B (17 K17073) and Grant-in-Aid for Scientific Research C (24592756).
Availability of data and materials
All data generated and/or analyzed during this study are included in this published article and its supplementary information files.
Abbreviations
- APACHE
Acute Physiological and Chronic Health Evaluation
- ARDS
Adult respiratory distress syndrome
- cf-DNA
Cell-free DNA
- CI
Confidence interval
- CLP
Cecal ligation and puncture
- DIC
Disseminated intravascular coagulation
- ELISA
Enzyme-linked immunosorbent assay
- ICU
Intensive care unit
- IL
Interleukin
- MAP
Mean arterial pressure
- MPO
Myeloperoxidase
- NE
Neutrophil elastase
- NET
Neutrophil extracellular trap
- OD
Optical density
- P/F
PaO2/FIO2
- rhDNase
Recombinant human DNase
- ROC
Receiver operating characteristic
- rTM
Recombinant thrombomodulin
- SIRS
Systemic inflammatory response syndrome
- SOFA
Sepsis-Related Organ Failure Assessment
- TLR
Toll-like receptor
- vWF
Von Willebrand factor
Authors’ contributions
Study conception and design: NT. Data collection: YM, NT, HM, NT, TG, and MT. Analysis and interpretation: YM, NT, and AMH. Writing the manuscript: YM and NT. Critical revision: NT and YM. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Written informed consent was obtained from each patient included in the study, and the study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki as reflected a priori by the individual institutions’ Medical Ethics Committees.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (10.1186/s13054-018-2109-7) contains supplementary material, which is available to authorized users.
Contributor Information
Yuki Maruchi, Email: maruchi.836@aichi-med-u.ac.jp.
Masanobu Tsuda, Email: tsudam@aichi-med-u.ac.jp.
Hisatake Mori, Email: hmori@aichi-med-u.ac.jp.
Nobuyoshi Takenaka, Email: kimitake81@aichi-med-u.ac.jp.
Takayoshi Gocho, Email: tgocho@aichi-med-u.ac.jp.
Muhammad A. Huq, Email: huq@aichi-med-u.ac.jp
Naoshi Takeyama, Email: takeyama@aichi-med-u.ac.jp.
References
- 1.Vincent JL, Opal SM, Marshall JC, Tracey KJ. Sepsis definitions: time for change. Lancet. 2013;381:774–775. doi: 10.1016/S0140-6736(12)61815-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–829. doi: 10.1097/00003246-198510000-00009. [DOI] [PubMed] [Google Scholar]
- 3.Vincent JL, Moreno R, Takala J, Willatts S, De Mendonça A, Bruining H, et al. The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure. On behalf of the working group on Sepsis-related problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22:707–710. doi: 10.1007/BF01709751. [DOI] [PubMed] [Google Scholar]
- 4.Prucha M, Bellingan G, Zazula R. Sepsis biomarkers. Clin Chim Acta. 2015;440:97–103. doi: 10.1016/j.cca.2014.11.012. [DOI] [PubMed] [Google Scholar]
- 5.Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303:1532–1535. doi: 10.1126/science.1092385. [DOI] [PubMed] [Google Scholar]
- 6.Macher H, Egea-Guerrero JJ, Revuelto-Rey J, Gordillo-Escobar E, Enamorado-Enamorado J, Boza A, et al. Role of early cell-free DNA levels decrease as a predictive marker of fatal outcome after severe traumatic brain injury. Clin Chim Acta. 2012;414:12–17. doi: 10.1016/j.cca.2012.08.001. [DOI] [PubMed] [Google Scholar]
- 7.Margraf S, Logters T, Reipen J, Altrichter J, Scholz M, Windolf J. Neutrophil-derived circulating free DNA (cf-DNA/NETs): a potential prognostic marker for posttraumatic development of inflammatory second hit and sepsis. Shock. 2008;30:352–358. doi: 10.1097/SHK.0b013e31816a6bb1. [DOI] [PubMed] [Google Scholar]
- 8.Rhodes A, Wort SJ, Thomas H, Collinson P, Bennett ED. Plasma DNA concentration as a predictor of mortality and sepsis in critically ill patients. Crit Care. 2006;10:R60. doi: 10.1186/cc4894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wu TL, Zhang D, Chia JH, Tsao KC, Sun CF, Wu JT. Cell-free DNA: measurement in various carcinomas and establishment of normal reference range. Clin Chim Acta. 2002;321:77–87. doi: 10.1016/S0009-8981(02)00091-8. [DOI] [PubMed] [Google Scholar]
- 10.Lam NY, Rainer TH, Wong LK, Lam W, Lo YM. Plasma DNA as a prognostic marker for stroke patients with negative neuroimaging within the first 24 h of symptom onset. Resuscitation. 2006;68:71–78. doi: 10.1016/j.resuscitation.2005.05.021. [DOI] [PubMed] [Google Scholar]
- 11.Shimony A, Zahger D, Gilutz H, Goldstein H, Orlov G, Merkin M, et al. Cell free DNA detected by a novel method in acute ST-elevation myocardial infarction patients. Acute Card Care. 2010;12:109–111. doi: 10.3109/17482941.2010.513732. [DOI] [PubMed] [Google Scholar]
- 12.Jiménez-Alcázar M, Kim N, Fuchs TA. Circulating extracellular DNA: cause or consequence of thrombosis? Semin Thromb Hemost. 2017;43:553–561. doi: 10.1055/s-0036-1597284. [DOI] [PubMed] [Google Scholar]
- 13.Kessenbrock K, Krumbholz M, Schonermarck U, Back W, Gross WL, et al. Netting neutrophils in autoimmune small-vessel vasculitis. Nat Med. 2009;15:623–625. doi: 10.1038/nm.1959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kano H, Huq MA, Tsuda M, Noguchi H, Takeyama N. Sandwich ELISA for circulating myeloperoxidase- and neutrophil elastase-DNA complexes released from neutrophil extracellular traps. Adv Tech Biol Med. 2016;5:1. [Google Scholar]
- 15.Lefrançais E, Mallavia B, Zhuo H, Calfee CS, et al. Maladaptive role of neutrophil extracellular traps in pathogen-induced lung injury. JCI Insight. 2018;3:e98178. doi: 10.1172/jci.insight.98178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS international sepsis definitions conference. Crit Care Med. 2003;31:1250–1256. doi: 10.1097/01.CCM.0000050454.01978.3B. [DOI] [PubMed] [Google Scholar]
- 17.Bone RC, Balk RA, Cerra FB, Dellinger RP, Fein AM, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM consensus committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest. 1982;101:1644–1655. doi: 10.1378/chest.101.6.1644. [DOI] [PubMed] [Google Scholar]
- 18.Gando S, Iba T, Eguchi Y, Ohtomo Y, Okamoto K, Koseki K, et al. A multicenter, prospective validation of disseminated intravascular coagulation diagnostic criteria for critically ill patients: comparing current criteria. Crit Care Med. 2006;34:625–631. doi: 10.1097/01.CCM.0000202209.42491.38. [DOI] [PubMed] [Google Scholar]
- 19.Dellinger RP, Levy MM, Carlet JM, Bion J, Parker MM, Jaeschke R, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008. Crit Care Med. 2008;36:296–327. doi: 10.1097/01.CCM.0000298158.12101.41. [DOI] [PubMed] [Google Scholar]
- 20.Chiu RW, Poon LL, Lau TK, Leung TN, Wong EM, et al. Effects of blood-processing protocols on fetal and total DNA quantification in maternal plasma. Clin Chem. 2001;47:1607–1613. [PubMed] [Google Scholar]
- 21.Kung CT, Hsiao SY, Tsai TC, Su CM, Chang WN, et al. Plasma nuclear and mitochondrial DNA levels as predictors of outcome in severe sepsis patients in the emergency room. J Transl Med. 2012;10:130. doi: 10.1186/1479-5876-10-130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Dwivedi DJ, Toltl LJ, Swystun LL, Pogue J, Liaw KL, et al. Prognostic utility and characterization of cell-free DNA in patients with severe sepsis. Crit Care. 2012;16:R151. doi: 10.1186/cc11466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Huttunen R, Kuparinen T, Jylhävä J, Aittoniemi J, Vuento R, et al. Fatal outcome in bacteremia is characterized by high plasma cell free DNA concentration and apoptotic DNA fragmentation: a prospective cohort study. PLoS One. 2011;6:e21700. doi: 10.1371/journal.pone.0021700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bronkhorst AJ, Aucamp J, Pretorius PJ. Cell-free DNA: preanalytical variables. Clin Chim Acta. 2015;450:243–253. doi: 10.1016/j.cca.2015.08.028. [DOI] [PubMed] [Google Scholar]
- 25.Nakazawa D, Shida H, Tomaru U, Yoshida M, Nishio S, et al. Enhanced formation and disordered regulation of NETs in myeloperoxidase-ANCA-associated microscopic polyangiitis. J Am Soc Nephrol. 2014;25:990–997. doi: 10.1681/ASN.2013060606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Caudrillier A, Kessenbrock K, Gilliss BM, Nguyen JX, Marques MB, et al. Platelets induce neutrophil extracellular traps in transfusion-related acute lung injury. J Clin Invest. 2012;122:2661–2671. doi: 10.1172/JCI61303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wang H, Sha LL, Ma TT, Zhang LX, Chen M, Zhao MH. Circulating level of neutrophil extracellular traps is not a useful biomarker for assessing disease activity in antineutrophil cytoplasmic antibody-associated vasculitis. PLoS One. 11:e0148197. 10.1371/journal.pone.0148197. [DOI] [PMC free article] [PubMed]
- 28.Borissoff JI, Joosen IA, Versteylen MO, Brill A, Fuchs TA, et al. Elevated levels of circulating DNA and chromatin are independently associated with severe coronary atherosclerosis and a prothrombotic state. Arterioscler Thromb Vasc Biol. 2013;33:2032–2040. doi: 10.1161/ATVBAHA.113.301627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Arai Y, Yamashita K, Mizugishi K, Watanabe T, Sakamoto S, et al. Serum neutrophil extracellular trap levels predict thrombotic microangiopathy after allogeneic stem cell transplantation. Biol Blood Marrow Transplant. 2013;19:1683–1689. doi: 10.1016/j.bbmt.2013.09.005. [DOI] [PubMed] [Google Scholar]
- 30.Kaufman T, Magosevich D, Moreno MC, Guzman MA, D'Atri LP, et al. Nucleosomes and neutrophil extracellular traps in septic and burn patients. Clin Immunol. 2017;183:254–262. doi: 10.1016/j.clim.2017.08.014. [DOI] [PubMed] [Google Scholar]
- 31.Keshari RS, Jyoti A, Dubey M, Kothari N, Kohli M, et al. Cytokines induced neutrophil extracellular traps formation: implication for the inflammatory disease condition. PLoS One. 2012;7:e48111. doi: 10.1371/journal.pone.0048111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Joshi MB, Lad A, Bharath Prasad AS, Balakrishnan A, Ramachandra L, et al. High glucose modulates IL-6 mediated immune homeostasis through impeding neutrophil extracellular trap formation. FEBS Lett. 2013;587:2241–2246. doi: 10.1016/j.febslet.2013.05.053. [DOI] [PubMed] [Google Scholar]
- 33.Wang H, Sha LL, Ma TT, Zhang LX, Chen M, et al. Circulating level of neutrophil extracellular traps is not a useful biomarker for assessing disease activity in antineutrophil cytoplasmic antibody-associated vasculitis. PLoS One. 2016;11:e0148197. doi: 10.1371/journal.pone.0148197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Tillack K, Naegele M, Haueis C, Schippling S, Wandinger KP, et al. Gender differences in circulating levels of neutrophil extracellular traps in serum of multiple sclerosis patients. J Neuroimmunol. 2013;261:108–119. doi: 10.1016/j.jneuroim.2013.05.004. [DOI] [PubMed] [Google Scholar]
- 35.Saukkonen K, Lakkisto P, Pettila V, Varpula M, Karlsson S, et al. Cell free plasma DNA as a predictor of outcome in severe sepsis and septic shock. Clin Chem. 2008;54:1000–1007. doi: 10.1373/clinchem.2007.101030. [DOI] [PubMed] [Google Scholar]
- 36.Hamaguchi S, Akeda Y, Yamamoto N, Seki M, Yamamoto K, et al. Origin of circulating free DNA in sepsis: analysis of the CLP mouse model. Mediat Inflamm. 2015:614518. 10.1155/2015/614518. [DOI] [PMC free article] [PubMed]
- 37.O'Brien XM, Biron BM, Reichner JS. Consequences of extracellular trap formation in sepsis. Curr Opin Hematol. 2017;24:66–71. doi: 10.1097/MOH.0000000000000303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Czaikoski PG, Mota JMSC, Nascimento DC, Sônego F, Castanheira FV, et al. Neutrophil extracellular traps induce organ damage during experimental and clinical sepsis. PLoS One. 2016;11:e0148142. doi: 10.1371/journal.pone.0148142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Martinod K, Fuchs TA, Zitomersky NL, Wong SL, Demers M, et al. PAD4-deficiency does not affect bacteremia in polymicrobial sepsis and ameliorates endotoxemic shock. Blood. 2015;125:1948–1956. doi: 10.1182/blood-2014-07-587709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Luo L, Zhang S, Wang Y, Rahman M, Syk I, et al. Proinflammatory role of neutrophil extracellular traps in abdominal sepsis. Am J Physiol Lung Cell Mol Physiol. 2014;307:L586–L596. doi: 10.1152/ajplung.00365.2013. [DOI] [PubMed] [Google Scholar]
- 41.Kambas K, Mitroulis I, Ritis K. The emerging role of neutrophils in thrombosis—the journey of TF through NETs. Front Immunol. 2012;3:385. doi: 10.3389/fimmu.2012.00385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Grässle S, Huck V, Pappelbaum KI, Gorzelanny C, Aponte-Santamaría C, et al. von Willebrand factor directly interacts with DNA from neutrophil extracellular traps. Arterioscler Thromb Vasc Biol. 2014;34:1382–1389. doi: 10.1161/ATVBAHA.113.303016. [DOI] [PubMed] [Google Scholar]
- 43.Clark SR, Ma AC, Tavener SA, McDonald B, Goodarzi Z, et al. Platelet TLR4 activates neutrophil extracellular traps to ensnare bacteria in septic blood. Nat Med. 2007;13:463–469. doi: 10.1038/nm1565. [DOI] [PubMed] [Google Scholar]
- 44.Delabranche X, Stiel L, Severac F, Galoisy AC, Mauvieux L, et al. Evidence of NETosis in septic shock-induced disseminated intravascular coagulation. Shock. 2017;47:313–317. doi: 10.1097/SHK.0000000000000719. [DOI] [PubMed] [Google Scholar]
- 45.Wada H, Asakura H, Okamoto K, Iba T, Uchiyama T, et al. Japanese Society of Thrombosis Hemostasis/DIC subcommittee: expert consensus for the treatment of disseminated intravascular coagulation in Japan. Thromb Res. 2010;125:6–11. doi: 10.1016/j.thromres.2009.08.017. [DOI] [PubMed] [Google Scholar]
- 46.Wada H, Japanese Society of Thrombosis Hemostasis/DIC subcommittee. Okamoto K, Iba T, Kushimoto S, Kawasugi K, Gando S, et al. Addition of recommendations for the use of recombinant human thrombomodulin to the “expert consensus for the treatment of disseminated intravascular coagulation in Japan”. Thromb Res. 2014;134:924–925. doi: 10.1016/j.thromres.2014.07.033. [DOI] [PubMed] [Google Scholar]
- 47.Ishikawa M, Yamashita H, Oka N, Ueda T, Kohama K, et al. Antithrombin III improved neutrophil extracellular traps in lung after the onset of endotoxemia. J Surg Res. 2017;208:140–150. doi: 10.1016/j.jss.2016.09.041. [DOI] [PubMed] [Google Scholar]
- 48.Majewski P, Majchrzak-Gorecka M, Grygier B, Skrzeczynska-Moncznik J, Osiecka O, Cichy J. Inhibitors of serine proteases in regulating the production and function of neutrophil extracellular traps. Front Immunol. 2016;7:261. doi: 10.3389/fimmu.2016.00261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Shimomura Y, Suga M, Kuriyama N, Nakamura T, Sakai T, et al. Recombinant human thrombomodulin inhibits neutrophil extracellular trap formation in vitro. J Intensive Care. 2016;4:48. doi: 10.1186/s40560-016-0177-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated and/or analyzed during this study are included in this published article and its supplementary information files.