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Erschienen in: BMC Cardiovascular Disorders 1/2019

Open Access 01.12.2019 | Research article

Glucose associated NETosis in patients with ST-elevation myocardial infarction: an observational study

verfasst von: Ragnhild Helseth, Eva Cecilie Knudsen, Jan Eritsland, Trine Baur Opstad, Harald Arnesen, Geir Øystein Andersen, Ingebjørg Seljeflot

Erschienen in: BMC Cardiovascular Disorders | Ausgabe 1/2019

Abstract

Background

Neutrophil extracellular traps (NETs) have recently been identified as mediators in atherothrombosis. Although NETosis in general has been suggested to be glucose dependent, the transferability to patients with acute ST-elevation myocardial infarction (STEMI) is unclear. We assessed whether the NETs markers double-stranded deoxyribonucleid acid (dsDNA) and myeloperoxidase-DNA (MPO-DNA) associated with plasma glucose and the glucometabolic status in the acute phase and 3 months after a STEMI. We also explored whether an acute glucose load resulted in upregulated NETosis by assessment of peptidylarginine deiminase 4 (PAD4) gene expression.

Methods

In total, 224 STEMI patients were prospectively enrolled and underwent blood sampling acutely (median 16.5 h after PCI) and after 3 months. Glucometabolic status was defined based on the results of an oral glucose tolerance test (OGTT) as normal glucose regulation (NGR), impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or type 2 diabetes (T2DM). dsDNA and MPO-DNA were measured in serum, while PAD4 mRNA was measured in circulating leukocytes by RT-PCR.

Results

dsDNA levels were significantly correlated to plasma glucose both acutely and after 3 months (r = 0.12 and r = 0.17, both p < 0.02), whereas MPO-DNA was not. No associations with the glucometabolic status were encountered for dsDNA and MPO-DNA acutely, but after 3 months dsDNA levels were elevated in patients with IFG and T2DM vs. NGR (428 vs. 371 ng/ml and 408 vs. 371 ng/ml, both p < 0.045). During the acute glucose load after 3 months, dsDNA and MPO-DNA remained unchanged while PAD4 mRNA increased significantly (RQ 0.836 vs. 0.920, p = 0.02).

Conclusions

In this cohort of STEMI patients, levels of dsDNA associated with plasma glucose both in the acute and stable condition. The glucometabolic status was not substantially related to the selected NETs markers, however, an acute glucose load by OGTT performed after 3 months resulted in increased PAD4 expression, suggestive of enhanced NETosis in the aftermath of STEMI.

Trial registration

www.clinicaltrials.gov, NCT00926133. Registered June 23, 2009.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12872-019-1205-1.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ACE
Angiotensin converting enzyme
AGR
Abnormal glucose regulation
ATII
Angiotensin II
BSA
Bovine serum albumine
CAD
Coronary artery disease
dsDNA
Double-stranded deoxyribonucleic acid
IFG
Impaired fasting glucose
IGT
Impaired glucose tolerance
LPS
Lipopolysaccharide
LVEF
Left ventricular ejection fraction
MPO-DNA
Myeloperoxidase-deoxyribonucleic acid
mRNA
Messenger ribonucleic acid
NADPH
Reduced form of nicotinamide adenine dinucleotide phosphate
NETs
Neutrophil extracellular traps
NGR
Normal glucose regulation
OD
Optical density units
OGTT
Oral glucose tolerance test
PAD4
Peptidylarginine deiminase 4
PCI
Percutaneous coronary intervention
REK
Regional ethics committee
ROS
Reactive oxygen species
RQ
Relative quantification values
RT PCR
Real time polymerase chain reaction
SPECT
Single photon emission computed tomography
STEMI
ST-elevation myocardial infarction
T2DM
Type 2 diabetes mellitus
β2M
Beta-2-microglobulin

Background

Neutrophil extracellular traps (NETs), comprising fragments of neutrophil chromatin covered with neutrophil granule proteins extruding into the extracellular space upon neutrophil activation [1], have lately been identified as novel players in coronary artery disease (CAD). In stable CAD, levels of circulating NETs markers have been associated with CAD severity and prognosis [2, 3], while in acute ST elevation myocardial infarction (STEMI), levels of circulating NETs markers and the amount of NETs in aspirated coronary thrombi have both been associated with myocardial infarct size [46]. NETs probably enhance endothelial dysfunction, activate plasmacytoid dendritic cells and stimulate proinflammatory cytokine secretion from macrophages, which all drive atherosclerosis progression [7]. Substantial data also indicate that NETs are involved in thrombosis per se by serving as a scaffold for platelet entrapment and activation, coagulation activation and inbihition of fibrinolysis [711]. During NETs formation, NETosis, the enzyme peptidylarginine deiminase 4 (PAD4) catalyzes conversion of arginine residues of histones to citrulline in the neutrophil chromatin. This citrullination process results in histone charge change and chromatin decondensation, preceding neutrophil cell membrane rupture and NETs release, and is regarded a prerequisite for NETosis [12].
Multiple inducers of NETosis have been suggested, including gram positive and negative bacteria, fungi, lipopolysaccharide (LPS), proinflammatory interleukins, calcium channel opening agents and glucose [13]. NETosis has been reported to be glucose dependent in general and circulating NETs markers are shown to be elevated in patients with type 1 and 2 diabetes mellitus [1419]. The metabolic requirements for NETosis in CAD have, however, not been addressed. In the present investigation we aimed to explore whether the circulating NETs markers double stranded deoksyribonucleic acid (dsNDA) and myeloperoxidase-DNA (MPO-DNA) are associated with plasma glucose and the glucometabolic status in a cohort of STEMI patients. We further explored whether an acute glucose load by oral glucose tolerance test (OGTT) 3 months after the STEMI had any impact on NETosis, assessed by PAD4 messenger ribonucleic acid (mRNA) levels in circulating leukocytes as well as serum levels of dsDNA and MPO-DNA. Our hypothesis was that hyperglycemia would act as a NETosis stimulating agent in STEMI patients, thus contributing to increased understanding of NETs in CAD. If NETs have a negative impact on myocardial infarct size, identification of NETosis stimulating agents may participate in paving the way for directed anti-NETs therapy.

Methods

Study population

This is a substudy of the” Abnormal Glucose Regulation in Patients with Acute Myocardial Infarction” trial, and details of the study cohort have previously been published [20]. In brief, 224 prospectively enrolled patients with STEMI treated with primary percutaneous coronary intervention (PCI) at Ullevål University Hospital, Oslo, Norway during 2005 – 2007 were investigated for the prevalence of abnormal glucose regulation (AGR) in the acute phase and the reliability of an OGTT performed early after the acute event to predict AGR 3 months later. Patients with clinical instability, known diabetes or persistent hyperglycemia (defined as combination of admission glucose > 11 mmol/L and fasting glucose level > 8 mmol/L), serum creatinine concentration ≥ 200 μmol/L or age > 85 years were excluded.

Laboratory analyses

Blood samples were drawn after an overnight fasting in the acute phase at a median of 16.5 h (h) after hospital admission and repeated after 3 months. Standardized OGTT (2 h) with 75 g glucose dissolved in 200 ml water [21] was performed at both time points (n = 224 in the acute phase, n = 201 after 3 months) in order to determine the glucometabolic status as defined by the World Health Organization (WHO) [22]. dsDNA levels (ng/ml) were quantified in serum by Quant-iT Picogreen dsDNA Assay # P11496 (Invitrogen, Carlsbad, CA, USA). MPO-DNA complexes were quantified in serum by an enzyme-linked immunosorbent assay (ELISA) technique originally described by Kessenbrock et al. [23]. Briefly, plates were coated with anti-MPO (AbD Serotec, Hercules, CA, USA) and incubated overnight at 4 °C. After blocking with bovine serum albumine (BSA), patient serum and a peroxidase-labeled anti-DNA antibody (Cell Death Detection kit, Roche Diagnostics GmbH, Mannheim, Germany) were added. After 2 hours of incubation, a peroxidase substrate was added and absorbance was measured after 40 min. Data are reported as optical density (OD) units. The inter assay CVs for dsNDA and MPO-DNA were 8.2 and 8.4%, respectively.
PAXGene Blood RNA tubes were collected for RNA extraction from circulating leukocytes in a randomly selected subset of 100 patients at 3 months. Total RNA was reversely transcribed into complementary DNA (cDNA) by use of qScript cDNA SuperMIx (Quanta Biosciences, Inc.,Gaithersburg, USA). Expression of the PAD4 gene was assessed by real time polymerase chain reaction (RT PCR) on the VIIa7 Instrument (Applied Biosystems, by Life Technologies, Foster City CA, USA), using TaqMan Universal PCR Master Mix, No AmpErase UNG and the PAD4 TaqMan assay (Hs01057483_m1), and measured as relative quantification (RQ) (2 –ΔΔCt method) [24], with beta-2-microglobulin (β2M) as house-keeping gene (Assay ID Hs99999907_m1) (all Applied Biosystems).

Definition of glucometabolic status

Glucometabolic status based on OGTT was defined according to the World Health Organization criteria [22] (Table 1). Due to limited number in each category, patients were also classified into normal vs. abnormal glucose regulation (NGR/AGR), the latter being the sum of impaired fasting glucose (IFG), impaired glucose tolerance (IGT) and type 2 diabetes (T2DM).
Table 1
Glucometabolic status
 
Glucose level
(0 min)
 
Glucose level
(2 h)
Acute phase
3 months
NGR
<  6.1
and
<  7.8
119/224 (53.1%)
151/201 (75.1%)
IFG
≥ 6.1 <  7.0
and
<  7.8
12/224 (5.4%)
12/200 (6.0%)
IGT
<  7.0
and
≥ 7.8 < 11.1
69/224 (30.8%)
29/200 (14.5%)
T2DM
≥ 7.0
and/or
≥ 11.1
24/224 (10.7%)
10/201 (5.0%)
AGR
IFG + IGT + T2DM
105/224 (46.9%)
50/201 (24.9%)
Glucose levels are given in mmol/L. Numbers (%) are given for the separate glucometabolic categories in the acute phase and after 3 months. AGR abnormal glucose regulation, NGR normal glucose regulation, IFG impaired fasting glucose, IGT impaired glucose tolerance, T2DM type 2 diabetes mellitus

Statistics

As the majority of relevant variables were skewed distributed, non-parametric statistics were used throughout. Descriptive data are given by medians (25, 75 percentiles) or numbers (%), as appropriate. Correlation analyses were performed by Spearman’s rho. Differences between groups were assessed by the Mann-Whitney U test, while time-dependent changes were analyzed by Friedman’s test followed by Wilcoxon Signed Rank test. A p value ≤0.05 was considered statistically significant. All statistical analyses were performed in IBM SPSS Statistics, version 25.

Results

General cohort characteristics

The included patients had a median age of 58 years and the majority was males (Table 2). Approximately 50% were current smokers, 25.9% had hypertension, 8.9% had hyperlipidemia and 7.1% had previously undergone a myocardial infarction (MI). Median leukocyte count at the time of hospital admission was 10.2 ×  109/L. Peak troponin T was 4.7 μg/L. As previously reported and outlined in Tables 1 and 2, the prevalence of AGR in the acute phase was 46.9% [20]. At 3 months, 201 of the patients repeated the OGTT with a prevalence of AGR of 24.9% [20]. Levels of dsDNA and MPO-DNA were both significantly higher in the acute phase than after 3 months (both p < 0.01) (Fig. 1a and b).
Table 2
Characteristics of the study population
Age (years)
58
(51,67)
Female gender
39
(17.4)
BMI (kg/m2)
26
(24.4,28.7)
Waist circumference (cm)
100
(94,107)
Current smoking
109
(48.7)
Previous medical history
 Hypertension
58
(25.9)
 Hyperlipidemia
20
(8.9)
 Myocardial infarction
16
(7.1)
Acute phase
 Leukocyte count (× 109/l)
10.2
(8.5,12.4)
 Ischemic time (min)a
219
(139,382)
 HbA1c (%)
5.5
(5.3,5.8)
 Plasma glucose, start of OGTT (mmol/L)
5.3
(4.9,5.9)
 Plasma glucose, end of OGTT (mmol/L)
7.3
(5.9,8.8)
 AGR
105
(46.9)
 Peak Troponin T (μg/L)
4.7
(2.4,9.0)
Medication at hospital discharge
 Acetylsalicylic acid
224
(100)
 Clopidogrel
222
(99.1)
 Statins
221
(98.7)
 Betablockers
181
(80.8)
 ACE-inhibitors
36
(16.1)
 ATII antagonists
18
(8.0)
After 3 months
 Plasma glucose, start of OGTT (mmol/L)
5.2
(4.8,5.6)
 Plasma glucose, end of OGTT (mmol/L)
5.4
(4.5,7.1)
 AGR
50
(24.9)
 Infarct size, %b
14
(0,29)
 LVEF, %b
64
(56,70)
Values are given as medians (25, 75 percentiles) or numbers (%) as appropriate. aDefined as time form symptom debut to PCI. bAssessed by Single photon emission computed tomography (SPECT). ACE angiotensin converting enzyme, AGR abnormal glucose regulation, ATII angiotensin II, LVEF left ventricular ejection fraction, OGTT oral glucose tolerance test

Correlations between NETs markers and leukocytes

dsDNA and MPO-DNA levels were significantly correlated to leukocyte count at admission (r = 0.186 and r = 0.245, p < 0.01 for both) and to each other in the acute (r = 0.269, p < 0.001), but not the stable phase after 3 months.

Associations to plasma glucose and glucometabolic status

dsDNA levels correlated weakly, but significantly to plasma glucose before OGTT both in the acute phase and at 3 months (Fig. 2). No significant correlations were encountered between plasma glucose and MPO-DNA and PAD4 mRNA levels (Additional file 1: Table S1). In the acute phase, levels of dsDNA and MPO-DNA did not differ significantly between patients with NGR vs. AGR, or between patients with NGR vs. IFG, NGR vs. IGT, or NGR vs. T2DM when these components of AGR were investigated separately (Table 3, Additional file 2: Table S2). After 3 months, dsDNA was borderline significantly higher in patients with AGR vs. NGR, whereas MPO-DNA and PAD4 mRNA levels did not differ (Table 3). When comparing the AGR components separately after 3 months, dsDNA levels were significantly higher in patients with IFG vs. NGR (p = 0.019) and in patients with T2DM vs. NGR (p = 0.045), whereas levels of MPO-DNA and PAD4 mRNA did not differ between the three AGR categories (Fig. 3).
Table 3
NETs markers related to NGR vs. AGR
 
NGR
AGR
p
Acute phase
 dsDNA (ng/ml)
425 (370,467)
429 (367,481)
0.491
 MPO-DNA (OD)
0.179 (0.153,0.248)
0.180 (0.155,0.236)
0.752
After 3 months
 dsDNA (ng/ml)
371 (325,418)
394 (343,434)
0.052
 MPO-DNA (OD)
0.158 (0.133,0.200)
0.156 (0.140,0.209)
0.545
 PAD4 mRNA (RQ)
0.822 (0.603,1.075)
0.872 (0.704,1.009)
0.693
p values are based on the Mann-Whitney U test. Values are given as medians (25, 75 percentiles). AGR abnormal glucose regulation, dsDNA double-stranded deoxyribonucleid acid, MPO-DNA myeloperoxidase deoxyribonucleid acid, NGR normal glucose regulation, OD optical density units, PAD4 mRNA peptidylarginine deiminase 4 messenger ribonucleid acid

NETs markers during OGTT

While neither dsDNA nor MPO-DNA levels changed significantly during the course of OGTT at 3 months (Fig. 1a and b), PAD4 mRNA levels in circulating leukocytes increased 1.1 fold during the acute glucose load (RQ 0.836 vs. 0.920, p = 0.02) (Fig. 1c).

Discussion

While the glucometabolic status overall only modestly influenced serum levels of NETs markers in this cohort of STEMI patients, plasma glucose per se was associated with levels of dsDNA both in the acute phase and in the stable condition after 3 months. An acute glucose load by OGTT performed 3 months after the STEMI resulted in increased gene expression of PAD4, suggestive of enhanced NETosis, although not accompanied by an increase in dsDNA or MPO-DNA levels. The latter might be caused by a delayed time course of NETs release.
The observed positive correlation between serum levels of dsDNA and plasma glucose is in line with existing literature suggesting that NETosis might be glucose dependent [14, 15, 17, 18]. Nevertheless, such association has not previously been specifically addressed in patients with acute MI, in which acute hyperglycemia has been associated with poorer outcome [25, 26]. It is interesting to note that the mechanisms linking acute hyperglycemia to poorer outcome in MI, eg. generation of reactive oxygen species (ROS), enhanced platelet and coagulation cascade activation, endothelial dysfunction and upregulated inflammation [26] overlap with suggested NETs mediated effects. Thus, the association between circulating dsDNA and plasma glucose in this cohort of patients with STEMI could shed light on how hyperglycemia is linked to adverse effects in acute MI. The absence of any association between the NETs markers and the glucometabolic status in the acute setting in our study is not easily discussed along with existing literature. However, higher levels of dsDNA were observed in patients with IFG and T2DM compared to patients with NGR after 3 months, which reflect a more stady state. The somewhat inconsistency could be due to the fact that patients with known diabetes and therefore more longlasting hyperglycemia were excluded from the study. Thus, the patients diagnosed with glucometabolic disturbances were probably in an “early” stage of their tendency towards hyperglycemia. It has, nevertheless, also been reported that neutrophils may become insensitive to NETs inducing stimuli during chronic hyperglycemia [27], which probably were the case for many of the patients with glucometabolic disturbances in this cohort. Based on our observations, however, NETs might be associated with the glucometabolic status in the more stable CAD setting. The complex pathophysiology during the acute course of a MI does not make it unlikely that the regulation of NETs and NETosis differ along the time axis from the acute event. Underpinning the latter, dsDNA and MPO-DNA levels were both significantly higher in the acute phase than after 3 months.
Gene expression levels of the NETosis related enzyme PAD4 increased significantly during the acute glucose load by OGTT after 3 months. The increase in PAD4 was not accompanied by increased levels of dsDNA or MPO-DNA. As the time course of NETs release upon different inducers of NETosis in CAD is unknown, this observation may imply that an acute glucose load in a stable state after STEMI is associated with NETosis. Although not reported in CAD, different metabolic intracellular signaling pathways have been suggested to be involved in the link between glucose and NETosis (Fig. 4). First, inhibition of glycolysis has been reported to inhibit NETosis [15]. Second, NETs formation depends on generation of reactive oxygen species (ROS) and intracellular hyperglycemia increases ROS production in neutrophils [2830]. Third, the pentose phosphate pathway generates NADPH that might be used as a cofactor in ROS production [31]. Fourth, inhibition of the polyl pathway has been reported to abbrogate NETs formation completely [17]. Exessive ROS per se have also been reported to increase transcription and activation of PAD4 directly by increasing intracellular Ca++ concentration [29]. It has moreover been reported that acute glucose fluctuations, like during OGTT, rather than chronic hyperglycemia trigger ROS production [32]. The latter could be discussed in line with our observation of modest association between the NETs markers and the glucometabolic status, representing a more chronic situation. Taken together, the observed upregulation of PAD4 as a marker of NETosis during an acute oral glucose load is well in line with current literature and indicate that NETosis in the stable setting after a STEMI might be upregulated by acute fluctuations in plasma glucose levels. Further work to verify our observations and to explore details of the intracellular pathways linking hyperglycemia to NETosis in patients with CAD and acute MI is warranted. It also remains to be determined whether the observed associations between plasma glucose and markers of NETosis potentially can be translated into meaningful clinical applications.

Limitations

The observational nature of the study impeedes clear-cut conclusions. The results are nevertheless hypothesis generating. The discrepancy between the observations for dsDNA and MPO-DNA is worth noticing as these markers currently both are regarded as relatively solid surrogate markers of NETs [33]. We recently reported on levels of dsDNA, but not MPO-DNA, to be associated with clinical outcome in patients with stable CAD, underpinning the mismatch between these assumed NETs markers [3]. Whether this issue reflects that dsDNA and MPO-DNA do not origin from the same cellular source, that NETs in patients with CAD cannot be compared to NETs in other disease entities as to the content, concentration and distribution of neutrophil proteins, or whether other physiological or methodological aspects could be relevant are unclear and in need of further exploration.
The spesificity of dsDNA as a marker of NETs can also be discussed, particularily in STEMI patients where myocardial cell death probably contributes to the amount of extracellular nuclear material. The PAD4 gene expression analyses were performed in leukocytes, and not specifically in neutrophils, which might have influenced the results. Finally, the fact that not all forms of NETosis are PAD4 dependent complicates interpretation of the current observations [34].

Conclusions

In this cohort of STEMI patients, plasma glucose correlated to the NETs marker dsDNA both in the acute phase and after 3 months. Although the glucometabolic status overall was only modestly associated with the selected NETs markers, an acute oral glucose load after 3 months resulted in upregulated PAD4 gene expression, suggestive of enhanced NETosis. Potential modulators of NETosis, like plasma glucose, might become clinically relevant in the quest to influence adverse effects of NETosis in CAD.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12872-019-1205-1.

Acknowledgements

The authors thank medical laboratory technologists Jeanette Steen, Gina Opstad Andersen and MScs Sissel Åkra and Vibeke Bratseth for professional sample handling and laboratory analyses.
The study was approved by the Norwegian Regional Committee for Medical Research Ethics, South-East Norway (number 298-05095). All patients provided written, informed consent for study participation.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303(5663):1532–5.CrossRef Brinkmann V, Reichard U, Goosmann C, Fauler B, Uhlemann Y, Weiss DS, et al. Neutrophil extracellular traps kill bacteria. Science. 2004;303(5663):1532–5.CrossRef
2.
Zurück zum Zitat Borissoff JI, Joosen IA, Versteylen MO, Brill A, Fuchs TA, Savchenko AS, 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(8):2032–40.CrossRef Borissoff JI, Joosen IA, Versteylen MO, Brill A, Fuchs TA, Savchenko AS, 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(8):2032–40.CrossRef
3.
Zurück zum Zitat Langseth MS, Opstad TB, Bratseth V, Solheim S, Arnesen H, Pettersen AA, et al. Markers of neutrophil extracellular traps are associated with adverse clinical outcome in stable coronary artery disease. Eur J Prev Cardiol. 2018;25(7):762–9.CrossRef Langseth MS, Opstad TB, Bratseth V, Solheim S, Arnesen H, Pettersen AA, et al. Markers of neutrophil extracellular traps are associated with adverse clinical outcome in stable coronary artery disease. Eur J Prev Cardiol. 2018;25(7):762–9.CrossRef
4.
Zurück zum Zitat Mangold A, Alias S, Scherz T, Hofbauer T, Jakowitsch J, Panzenbock A, et al. Coronary neutrophil extracellular trap burden and deoxyribonuclease activity in ST-elevation acute coronary syndrome are predictors of ST-segment resolution and infarct size. Circ Res. 2015;116(7):1182–92.CrossRef Mangold A, Alias S, Scherz T, Hofbauer T, Jakowitsch J, Panzenbock A, et al. Coronary neutrophil extracellular trap burden and deoxyribonuclease activity in ST-elevation acute coronary syndrome are predictors of ST-segment resolution and infarct size. Circ Res. 2015;116(7):1182–92.CrossRef
5.
Zurück zum Zitat Helseth R, Solheim S, Arnesen H, Seljeflot I, Opstad TB. The time course of markers of neutrophil extracellular traps in patients undergoing revascularisation for acute myocardial infarction or stable angina pectoris. Mediat Inflamm. 2016;2016:2182358.CrossRef Helseth R, Solheim S, Arnesen H, Seljeflot I, Opstad TB. The time course of markers of neutrophil extracellular traps in patients undergoing revascularisation for acute myocardial infarction or stable angina pectoris. Mediat Inflamm. 2016;2016:2182358.CrossRef
6.
Zurück zum Zitat Riegger J, Byrne RA, Joner M, Chandraratne S, Gershlick AH, Ten Berg JM, et al. Histopathological evaluation of thrombus in patients presenting with stent thrombosis. A multicenter European study: a report of the prevention of late stent thrombosis by an interdisciplinary global European effort consortium. Eur Heart J. 2016;37(19):1538–49.CrossRef Riegger J, Byrne RA, Joner M, Chandraratne S, Gershlick AH, Ten Berg JM, et al. Histopathological evaluation of thrombus in patients presenting with stent thrombosis. A multicenter European study: a report of the prevention of late stent thrombosis by an interdisciplinary global European effort consortium. Eur Heart J. 2016;37(19):1538–49.CrossRef
7.
Zurück zum Zitat Doring Y, Soehnlein O, Weber C. Neutrophil extracellular traps in atherosclerosis and Atherothrombosis. Circ Res. 2017;120(4):736–43.CrossRef Doring Y, Soehnlein O, Weber C. Neutrophil extracellular traps in atherosclerosis and Atherothrombosis. Circ Res. 2017;120(4):736–43.CrossRef
8.
Zurück zum Zitat Engelmann B, Massberg S. Thrombosis as an intravascular effector of innate immunity. Nat Rev Immunol. 2013;13(1):34–45.CrossRef Engelmann B, Massberg S. Thrombosis as an intravascular effector of innate immunity. Nat Rev Immunol. 2013;13(1):34–45.CrossRef
9.
Zurück zum Zitat Fuchs TA, Brill A, Duerschmied D, Schatzberg D, Monestier M, Myers DD Jr, et al. Extracellular DNA traps promote thrombosis. Proc Natl Acad Sci U S A. 2010;107(36):15880–5.CrossRef Fuchs TA, Brill A, Duerschmied D, Schatzberg D, Monestier M, Myers DD Jr, et al. Extracellular DNA traps promote thrombosis. Proc Natl Acad Sci U S A. 2010;107(36):15880–5.CrossRef
10.
Zurück zum Zitat Stakos DA, Kambas K, Konstantinidis T, Mitroulis I, Apostolidou E, Arelaki S, et al. Expression of functional tissue factor by neutrophil extracellular traps in culprit artery of acute myocardial infarction. Eur Heart J. 2015;36(22):1405–14.CrossRef Stakos DA, Kambas K, Konstantinidis T, Mitroulis I, Apostolidou E, Arelaki S, et al. Expression of functional tissue factor by neutrophil extracellular traps in culprit artery of acute myocardial infarction. Eur Heart J. 2015;36(22):1405–14.CrossRef
11.
Zurück zum Zitat Gould TJ, Vu TT, Stafford AR, Dwivedi DJ, Kim PY, Fox-Robichaud AE, et al. Cell-free DNA modulates clot structure and impairs fibrinolysis in sepsis. Arterioscler Thromb Vasc Biol. 2015;35(12):2544–53.CrossRef Gould TJ, Vu TT, Stafford AR, Dwivedi DJ, Kim PY, Fox-Robichaud AE, et al. Cell-free DNA modulates clot structure and impairs fibrinolysis in sepsis. Arterioscler Thromb Vasc Biol. 2015;35(12):2544–53.CrossRef
12.
Zurück zum Zitat Rohrbach AS, Slade DJ, Thompson PR, Mowen KA. Activation of PAD4 in NET formation. Front Immunol. 2012;3:360.CrossRef Rohrbach AS, Slade DJ, Thompson PR, Mowen KA. Activation of PAD4 in NET formation. Front Immunol. 2012;3:360.CrossRef
13.
Zurück zum Zitat Hoppenbrouwers T, Autar ASA, Sultan AR, Abraham TE, van Cappellen WA, Houtsmuller AB, et al. In vitro induction of NETosis: comprehensive live imaging comparison and systematic review. PLoS One. 2017;12(5):e0176472.CrossRef Hoppenbrouwers T, Autar ASA, Sultan AR, Abraham TE, van Cappellen WA, Houtsmuller AB, et al. In vitro induction of NETosis: comprehensive live imaging comparison and systematic review. PLoS One. 2017;12(5):e0176472.CrossRef
14.
Zurück zum Zitat Menegazzo L, Ciciliot S, Poncina N, Mazzucato M, Persano M, Bonora B, et al. NETosis is induced by high glucose and associated with type 2 diabetes. Acta Diabetol. 2015;52(3):497–503.CrossRef Menegazzo L, Ciciliot S, Poncina N, Mazzucato M, Persano M, Bonora B, et al. NETosis is induced by high glucose and associated with type 2 diabetes. Acta Diabetol. 2015;52(3):497–503.CrossRef
15.
Zurück zum Zitat Rodriguez-Espinosa O, Rojas-Espinosa O, Moreno-Altamirano MM, Lopez-Villegas EO, Sanchez-Garcia FJ. Metabolic requirements for neutrophil extracellular traps formation. Immunology. 2015;145(2):213–24.CrossRef Rodriguez-Espinosa O, Rojas-Espinosa O, Moreno-Altamirano MM, Lopez-Villegas EO, Sanchez-Garcia FJ. Metabolic requirements for neutrophil extracellular traps formation. Immunology. 2015;145(2):213–24.CrossRef
16.
Zurück zum Zitat Wong SL, Demers M, Martinod K, Gallant M, Wang Y, Goldfine AB, et al. Diabetes primes neutrophils to undergo NETosis, which impairs wound healing. Nat Med. 2015;21(7):815–9.CrossRef Wong SL, Demers M, Martinod K, Gallant M, Wang Y, Goldfine AB, et al. Diabetes primes neutrophils to undergo NETosis, which impairs wound healing. Nat Med. 2015;21(7):815–9.CrossRef
17.
Zurück zum Zitat Miyoshi A, Yamada M, Shida H, Nakazawa D, Kusunoki Y, Nakamura A, et al. Circulating neutrophil extracellular trap levels in well-controlled type 2 diabetes and pathway involved in their formation induced by high-dose glucose. Pathobiology. 2016;83(5):243–51.CrossRef Miyoshi A, Yamada M, Shida H, Nakazawa D, Kusunoki Y, Nakamura A, et al. Circulating neutrophil extracellular trap levels in well-controlled type 2 diabetes and pathway involved in their formation induced by high-dose glucose. Pathobiology. 2016;83(5):243–51.CrossRef
18.
Zurück zum Zitat Joshi MB, Baipadithaya G, Balakrishnan A, Hegde M, Vohra M, Ahamed R, et al. Elevated homocysteine levels in type 2 diabetes induce constitutive neutrophil extracellular traps. Sci Rep. 2016;6:36362.CrossRef Joshi MB, Baipadithaya G, Balakrishnan A, Hegde M, Vohra M, Ahamed R, et al. Elevated homocysteine levels in type 2 diabetes induce constitutive neutrophil extracellular traps. Sci Rep. 2016;6:36362.CrossRef
19.
Zurück zum Zitat Carestia A, Frechtel G, Cerrone G, Linari MA, Gonzalez CD, Casais P, et al. NETosis before and after hyperglycemic control in type 2 diabetes mellitus patients. PLoS One. 2016;11(12):e0168647.CrossRef Carestia A, Frechtel G, Cerrone G, Linari MA, Gonzalez CD, Casais P, et al. NETosis before and after hyperglycemic control in type 2 diabetes mellitus patients. PLoS One. 2016;11(12):e0168647.CrossRef
20.
Zurück zum Zitat Knudsen EC, Seljeflot I, Abdelnoor M, Eritsland J, Mangschau A, Arnesen H, et al. Abnormal glucose regulation in patients with acute ST- elevation myocardial infarction-a cohort study on 224 patients. Cardiovasc Diabetol. 2009;8:6.CrossRef Knudsen EC, Seljeflot I, Abdelnoor M, Eritsland J, Mangschau A, Arnesen H, et al. Abnormal glucose regulation in patients with acute ST- elevation myocardial infarction-a cohort study on 224 patients. Cardiovasc Diabetol. 2009;8:6.CrossRef
21.
Zurück zum Zitat World Health Organization Department of Noncommunicable Disease Surveillance G. Definition, Diagnosis and Classification of Diabetes Mellitus and its Complication. Report of a WHO Consultation. Part 1: Diagnosis and Classification of Diabetes Mellitus. 2008. World Health Organization Department of Noncommunicable Disease Surveillance G. Definition, Diagnosis and Classification of Diabetes Mellitus and its Complication. Report of a WHO Consultation. Part 1: Diagnosis and Classification of Diabetes Mellitus. 2008.
23.
Zurück zum Zitat Kessenbrock K, Krumbholz M, Schonermarck U, Back W, Gross WL, Werb Z, et al. Netting neutrophils in autoimmune small-vessel vasculitis. Nat Med. 2009;15(6):623–5.CrossRef Kessenbrock K, Krumbholz M, Schonermarck U, Back W, Gross WL, Werb Z, et al. Netting neutrophils in autoimmune small-vessel vasculitis. Nat Med. 2009;15(6):623–5.CrossRef
24.
Zurück zum Zitat Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.CrossRef Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 2001;25(4):402–8.CrossRef
25.
Zurück zum Zitat Capes SE, Hunt D, Malmberg K, Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. 2000;355(9206):773–8.CrossRef Capes SE, Hunt D, Malmberg K, Gerstein HC. Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. 2000;355(9206):773–8.CrossRef
26.
Zurück zum Zitat Ceriello A. Acute hyperglycaemia: a ‘new’ risk factor during myocardial infarction. Eur Heart J. 2005;26(4):328–31.CrossRef Ceriello A. Acute hyperglycaemia: a ‘new’ risk factor during myocardial infarction. Eur Heart J. 2005;26(4):328–31.CrossRef
27.
Zurück zum Zitat Joshi MB, Lad A, Bharath Prasad AS, Balakrishnan A, Ramachandra L, Satyamoorthy K. High glucose modulates IL-6 mediated immune homeostasis through impeding neutrophil extracellular trap formation. FEBS Lett. 2013;587(14):2241–6.CrossRef Joshi MB, Lad A, Bharath Prasad AS, Balakrishnan A, Ramachandra L, Satyamoorthy K. High glucose modulates IL-6 mediated immune homeostasis through impeding neutrophil extracellular trap formation. FEBS Lett. 2013;587(14):2241–6.CrossRef
28.
Zurück zum Zitat Kirchner T, Moller S, Klinger M, Solbach W, Laskay T, Behnen M. The impact of various reactive oxygen species on the formation of neutrophil extracellular traps. Mediat Inflamm. 2012;2012:849136.CrossRef Kirchner T, Moller S, Klinger M, Solbach W, Laskay T, Behnen M. The impact of various reactive oxygen species on the formation of neutrophil extracellular traps. Mediat Inflamm. 2012;2012:849136.CrossRef
29.
Zurück zum Zitat Shah MS, Brownlee M. Molecular and cellular mechanisms of cardiovascular disorders in diabetes. Circ Res. 2016;118(11):1808–29.CrossRef Shah MS, Brownlee M. Molecular and cellular mechanisms of cardiovascular disorders in diabetes. Circ Res. 2016;118(11):1808–29.CrossRef
30.
Zurück zum Zitat Mohanty P, Hamouda W, Garg R, Aljada A, Ghanim H, Dandona P. Glucose challenge stimulates reactive oxygen species (ROS) generation by leucocytes. J Clin Endocrinol Metab. 2000;85(8):2970–3.CrossRef Mohanty P, Hamouda W, Garg R, Aljada A, Ghanim H, Dandona P. Glucose challenge stimulates reactive oxygen species (ROS) generation by leucocytes. J Clin Endocrinol Metab. 2000;85(8):2970–3.CrossRef
31.
Zurück zum Zitat Azevedo EP, Rochael NC, Guimaraes-Costa AB, de Souza-Vieira TS, Ganilho J, Saraiva EM, et al. A metabolic shift toward pentose phosphate pathway is necessary for amyloid fibril- and Phorbol 12-Myristate 13-acetate-induced neutrophil extracellular trap (NET) formation. J Biol Chem. 2015;290(36):22174–83.CrossRef Azevedo EP, Rochael NC, Guimaraes-Costa AB, de Souza-Vieira TS, Ganilho J, Saraiva EM, et al. A metabolic shift toward pentose phosphate pathway is necessary for amyloid fibril- and Phorbol 12-Myristate 13-acetate-induced neutrophil extracellular trap (NET) formation. J Biol Chem. 2015;290(36):22174–83.CrossRef
32.
Zurück zum Zitat Monnier L, Mas E, Ginet C, Michel F, Villon L, Cristol JP, et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006;295(14):1681–7.CrossRef Monnier L, Mas E, Ginet C, Michel F, Villon L, Cristol JP, et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006;295(14):1681–7.CrossRef
33.
Zurück zum Zitat Masuda S, Nakazawa D, Shida H, Miyoshi A, Kusunoki Y, Tomaru U, et al. NETosis markers: quest for specific, objective, and quantitative markers. Clin Chim Acta. 2016;459:89–93.CrossRef Masuda S, Nakazawa D, Shida H, Miyoshi A, Kusunoki Y, Tomaru U, et al. NETosis markers: quest for specific, objective, and quantitative markers. Clin Chim Acta. 2016;459:89–93.CrossRef
34.
Zurück zum Zitat Guiducci E, Lemberg C, Kung N, Schraner E, Theocharides APA, LeibundGut-Landmann S. Candida albicans-induced NETosis is independent of Peptidylarginine deiminase 4. Front Immunol. 2018;9:1573.CrossRef Guiducci E, Lemberg C, Kung N, Schraner E, Theocharides APA, LeibundGut-Landmann S. Candida albicans-induced NETosis is independent of Peptidylarginine deiminase 4. Front Immunol. 2018;9:1573.CrossRef
Metadaten
Titel
Glucose associated NETosis in patients with ST-elevation myocardial infarction: an observational study
verfasst von
Ragnhild Helseth
Eva Cecilie Knudsen
Jan Eritsland
Trine Baur Opstad
Harald Arnesen
Geir Øystein Andersen
Ingebjørg Seljeflot
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Cardiovascular Disorders / Ausgabe 1/2019
Elektronische ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-019-1205-1

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