DYNAMICS OF OXIDATIVE STRESS AND APOPTOSIS INDICATORS IN PATIENTS WITH SEVERE CONCOMITANT INJURY
Shabanov A. K., Evseev A. K., Goroncharovskaya I. V., Badygov S. A., Cherpakov R. A., Kulabukhov V. V., Klychnikova E. V., Borovkova N. V., Grebenchikov O. A., Petrikov S. S.
N.V. Sklifosovsky Research institute for Emergency Medicine, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitation, Moscow, Russia
Among causes of death, trauma occupies the third
place after cardiovascular diseases and oncology, which makes it an equally
significant socio-economic problem [1, 2]. Trauma is the leading cause of loss
of working capacity among people of the most able-bodied age (up to 45 years)
[2]. The greatest participation in the treatment of this category of patients,
in addition to surgical specialists, is taken by
anesthesiologists-resuscitators [3].
Unlike a number of diseases, which today are of more
historical interest due to the development of scientific and technological
progress, the frequency of occurrence of concomitant injury is steadily
increasing against the background of the escalation of armed conflicts,
man-made disasters and the general technical vector of the development of
civilization [4].
In response to a severe injury and its consequences,
the body of the affected person urgently implements a genetically formed
protective program aimed at maintaining the functional activity of vital organs
[3]. Clinically, this manifests itself in the form of shock and is accompanied
by centralization of blood circulation.
The severity of the patient's condition is mainly
determined by trauma-associated afferent impulsation, and in particular its
intensity, which is directly related to the severity of the injury. Against the
background of the development and progression of this process, a number of
factors are triggered that determine the severity and intensity of the emerging
inflammatory response. These include an increase in mast cell secretion
products as a result of their activation, namely histamine and potassium and
hydrogen ions, an increase in the level of serotonin and adenosine diphosphate
(ADP) as a result of platelet involvement in the process, an escalation of
interleukins produced by macrophages, as well as TNF-α, interferon-γ and
serotonin. The specific event of
involvement of the vascular endothelium is a change in the level of tumor
necrosis factor (TNF). However, there is also a change in the plasma
concentration of specific interleukins, endothelins and prostaglandins. The
greatest influence on such an important parameter of the homeostasis system as
vascular tone is exerted by the level of catecholamines and glucocorticoids,
which level also directly depends on the severity of the injury. In concomitant
injury, many of these substances are considered as deregulating and pathogenic.
However, their true role remains unclear. Moreover, in the absence of a
critical state, it fits within the framework of physiological regulatory
manifestations [5].
In order to expand the understanding of the
functioning of certain body systems in a critical state, a constant search for
new markers is underway. In the early post-traumatic period, the deficiency of
the enzymatic and non-enzymatic antioxidant systems of the body against the
background of an increase in the production of active radicals (oxygen,
nitrogen, chlorine, etc.) leads to the development of oxidative stress [6],
which, along with hypoxia, triggers apoptosis [7-9]. An imbalance in the
oxidant-antioxidant system of the body, impaired functioning of the immune
system, damage to cells of various organs under the influence of endogenous and
exogenous factors, and other processes lead to such severe consequences as
acute respiratory distress syndrome, multiple organ failure, sepsis, and death.
The interest in the study of oxidative stress and
apoptosis in trauma patients is indicated by the almost threefold increase in
publications in this area over the past decade, according to PubMed. In this
regard, it seems relevant to study the markers of oxidative stress and
apoptosis in the early post-traumatic period in patients who have undergone severe
concomitant injury.
The objective of the study - to research the markers of oxidative stress and apoptosis depending on the outcome in patients who have undergone a severe concomitant injury in the early post-traumatic period.
MATERIALS AND METHODS
The study included 66 patients (44 men, 22 women,
median age 39.5 (28.25; 46) years) with severe concomitant injury (SCI), who
were treated in the intensive care unit of Sklifosovsky Research institute for Emergency Medicine in 2018-2021. Based on the outcome, two
groups were formed: with a favorable outcome (49 patients) and a fatal outcome
(17 patients).
To determine the severity of the condition, the
following scales were used: ISS, APACHE-II, SOFA. The mean injury severity
score was 30.0 ± 8.0 for ISS, 17.9 ± 8.4 for APACHE II, and 4.1 ± 2.8 for SOFA.
The inclusion criteria were: 1) age from 18 to 75
years; 2) the severity of damage on the ISS from 18 to 50 points. The exclusion
criteria were: 1) victims transferred from other hospitals 24 or more hours
after the concomitant injury; 2) morbid obesity with a body mass index of more
than 35 kg/m2; 3) a history of renal failure; 4) aggravated allergic
history; 5) oncological process.
The analysis of markers of oxidative stress and
apoptosis was carried out in three time periods: 1-3, 4-7, and 8-14 days after
injury.
Whole blood was obtained using the vacuum blood
collection system. For further analysis, Vacutainer® SSTTM II Advance and
Vacutainer® EDTA tubes (BD, UK) were used. Plasma and serum were obtained by
centrifugation of whole blood at 1,500g for 15 minutes.
When determining the severity of oxidative stress in
patients with severe concomitant injury, we assessed the level of
malondialdehyde (MDA), the status of the body's antioxidant system, and the
level of the platinum electrode potential at an open circuit (OCP).
Determination of the level of malonic dialdehyde in
the serum of patients was performed using thiobarbituric acid. The state of the
antioxidant system was assessed by the total antioxidant activity (TAA) of the
blood serum, which was measured by spectrophotometry on an Olympus AU2700
biochemical analyzer (BeckmanCoulter, USA) using a TAS kit (Randox, UK), as
well as by the total amount of electricity (Q) spent on the oxidation of all
low molecular weight antioxidants [10]. Platinum electrode OCR was measured in
blood plasma using the IPC Compact potentiostat (NTF Volta, Russia). Endogenous
vascular regulation disorders were assessed by the content of stable nitric
oxide metabolites nitrite/nitrate (NOx) in serum. Angiotensin-converting enzyme
(ACE) concentration was assessed with photometric method on Olympus AU 2700
biochemical analyzer (Beckman Coulter, USA) using ACE test kit (Audit
Diagnostics, Ireland).
The study of apoptosis and counting of dead blood
leukocytes was performed using flow cytometry on CYTOMIC FC500 device (Beckman
Coulter, USA). With the hematological analyzer Ac∙T diff2 (Beckman Coulter,
USA), the total number of leukocytes in the blood (109/l) was
calculated. The number of lymphocytes ready to enter into apoptosis was
determined by Fas receptor expression using CD95+ monoclonal antibodies and was
presented as a percentage of the total lymphocyte population. The eBioscience
Hu AnnexinV-FITC Recomb Protein kit (Thermo Fisher Scientific, Invitrogen) was
used to determine the relative number of lymphocytes in venous blood at
different stages of apoptosis. At the early stage of apoptosis, the integrity of the cell membrane is
preserved, but its phospholipid components are rearranged, and
phosphatidylserine appears on the cell surface. Annexin V is able to bind to
phosphatidylserine in the presence of calcium. Simultaneous staining of cells
with the vital DNA-specific dye 7 amino-actinomycin D (7AAD) made it possible
to differentiate cells at the early stages of apoptosis (Annexin V+/7AAD–, early
apoptosis) from cells that had already died as a result of apoptosis (Annexin
V+/7AAD+, late apoptosis) . The number of lymphocytes at different stages of
apoptosis was presented as a percentage relative to the total population of
lymphocytes. The number of antigen-presenting monocytes with the CD14+HLA-DR+
phenotype was assessed.
The reference values of the studied parameters were
calculated on the basis of data from practically healthy people (n = 50).
Statistical data analysis was performed using the
Statistica 10 software package (StatSoft, Inc., USA). Descriptive statistics of
quantitative traits were presented as Me (Q25; Q75), where Me is the median,
(Q25; Q75) are the lower (25 %) and upper (75 %) quartiles. The hypothesis
about the correspondence of the distribution of quantitative traits to the
normal distribution was evaluated using the Shapiro-Wilk test. Due to the rejection of this
hypothesis for the studied parameters, the groups were compared using the
non-parametric test of the Mann-Whitney U-test. Intragroup comparison was
performed using the Wilcoxon test. Differences were considered statistically
significant at p < 0.05. In the case of multiple comparisons, taking into
account the Bonferroni correction, differences were considered statistically
significant at p < 0.025.
The study complies with WMA Declaration of Helsinki
- Ethical Principles for Medical Research Involving Human (2013), and the Rules
of clinical practice in the Russian Federation (June 19, 2003, No. 266). The
study was approved by ethical committee of Sklifosovsky Research institute for Emergency
Medicine.
RESULTS
The distribution according to the mechanism of injury and anatomical regions in patients is presented in Table 1. In the general structure of injury mechanisms, falls from a height prevail (41.0 %), followed by traffic accidents (38.0 %) (Table 1). At the same time, the combination of head and chest injuries (70.0 %) is most common in the structure of injury distribution by anatomical regions (Table 1). 57.5 % of the victims had limb injuries. Less than 30 % of patients had a combination of injuries to the head and abdomen (28.8 %), pelvis (22.4 %), and spine (18.8 %). It should be noted that 21 patients had an injury in 3 anatomical regions (33.4 %), and 17 ones had an injury in 4 regions (25.75 %).
Table 1. Distribution according to the mechanism of injury and anatomical regions in patients
Mechanism of injury |
Number of patients (%) |
Falling from height |
41.0 |
Traffic accident |
38.0 |
Work injury |
6.0 |
Other |
15.0 |
Injuries to anatomic regions |
|
Limbs |
57.5 |
Pelvis |
22.4 |
Spine |
18.8 |
Head + chest |
70.0 |
Head + abdomen |
28.8 |
The main causes and timing of deaths in patients
with severe concomitant injury are presented in Table 2. The most common causes
of deaths in patients with severe concomitant injury were shock and massive
blood loss on days 1-3 (37.5 %) and purulent-septic complications on days 8-14
(37.5 %) from the moment of injury (Table 2). In addition, deaths were
associated with edema and dislocation of the brain in 11.8 % of patients.
Table 2. The main causes and timing of deaths in patients with severe concomitant injury
Causes of death |
Timing of the development of a lethal outcome from moment of injury |
Total |
||
days 1-3 |
days 4-7 |
days 8-14 |
||
Massive blood loss and shock |
n = 6 |
n = 0 |
n = 1 |
7 |
Brain edema and dislocation |
n = 1 |
n = 1 |
n = 0 |
2 |
Purulent-septic complications |
n = 0 |
n = 1 |
n = 6 |
7 |
Other |
n = 0 |
n = 0 |
n = 1 |
1 |
Note: n – the number of victims, abs.
The results of the study of the dynamics of markers of oxidative stress and apoptosis are presented in tables 3, 4.
Table 3. Dynamics of oxidative stress markers in patients with severe concomitant trauma
Index |
Reference |
Favorable outcome |
Lethal outcome |
||||
days 1-3 |
days 4-7 |
days 8-14 |
days 1-3 |
days 4-7 |
days 8-14 |
||
MDA, µmol/l |
2.27 (2.11; 2.47) |
4.12 (3.46; 4.69) |
4.90 (4.42; 5.65) |
5.14 (4.67; 5.98) |
3.61 (3.20; 4.85) |
4.57 (4.02; 5.10) |
4.44 (4.21; 7.69) |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
p1 = 0.000001* |
p1 = 0.000001* |
p1 < 0.000000* |
||
p3 = 0.000164* |
p4 = 0.015208* |
p2 = 0.511781 |
p2 = 0.480882 |
p2 = 0.361358 |
|||
p3 = 0.020796* |
p4 = 0.040861 |
||||||
OAA, mmol/l |
1.61 (1.56; 1.68) |
1.33 (1.20; 1.54) |
1.20 (1.13; 1.34) |
1.23 (1.09; 1.34) |
1.47 (1.34; 1.78) |
1.54 (1.35; 1.76) |
1.27 (1.23; 1.45) |
p1 = 0.000022* |
p1 < 0.000000* |
p1 = 0.000003* |
p1 = 0.176269 |
p1 = 0.266482 |
p1 = 0.000914* |
||
p3 = 0.010944* |
p4 = 0.622424 |
p2 = 0.069498 |
p2 = 0.007765* |
p2 = 0.289624 |
|||
p3 = 0.858955 |
p4 = 0.213525 |
||||||
NOx, µmol/l |
18.61 (17.70; 23.62) |
17.32 (13.68; 21.96) |
15.33 (11.85; 20.85) |
14.12 (11.15; 17.02) |
26.50 (18.20; 36.85) |
25.24 (20.71; 35.33) |
15.19 (12.06; 50.50) |
p1 = 0.027314* |
p1 = 0.002808* |
p1 = 0.000037* |
p1 = 0.126792 |
p1 = 0.062111 |
p1 = 0.427279 |
||
p3 = 0.241491 |
p4 = 0.204399 |
p2 = 0.019319* |
p2 = 0.013516* |
p2 = 0.188899 |
|||
p3 = 0.929153 |
p4 = 0.040861 |
||||||
ACE, mmol/l |
45.00 (36.45; 55.15) |
27.10 (20.97; 34.3) |
30.10 (22.05; 36.81) |
35.37 (26.20; 46.03) |
26.65 (24.79; 32.63) |
28.72 (23.55; 30.63) |
41.09 (33.87; 47.75) |
p1 = 0.000001* |
p1 = 0.000002* |
p1 = 0.00279* |
p1 = 0.00052* |
p1 = 0.00011* |
p1 = 0.297383 |
||
p3 = 0.842078 |
p4 = 0.067347 |
p2 = 0.64359 |
p2 = 0.531857 |
p2 = 0.149126 |
|||
p3 = 0.33288 |
p4 = 0.016605* |
||||||
PCR, mV |
-39.26 (-18.97; -49.04) |
14.18 (-6.68; 28.67) |
30.89 (10.32; 43.05) |
35.90 (17.51; 52.91) |
15.63 (-5.60; 33.15) |
34.22 (24.97; 43.92) |
44.12 (33.20; 54.07) |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
||
p3 = 0.000030* |
p4 = 0.007790* |
p2 = 0.818553 |
p2 = 0.317774 |
p2 = 0.039869* |
|||
p3 = 0.002401* |
p4 = 0.026156 |
||||||
Q, µC |
21.76 (18.97; 24.92) |
14.43 (10.07; 19.27) |
11.48 (8.81; 13.04) |
11.13 (9.68; 13.49) |
18.76 (13.35; 24.91) |
13.00 (9.61; 15.12) |
10.25 (8.02; 15.81) |
p1 < 0.000000* |
p1 < 0.000000* |
p1 < 0.000000* |
p1 = 0.108071 |
p1 < 0.000000* |
p1 < 0.000000* |
||
p3 = 0.000066* |
p4 = 0.155472 |
p2 = 0.017968* |
p2 = 0.146624 |
p2 = 0.400793 |
|||
p3 = 0.008147* |
p4 = 0.637818 |
Note: the level of significance of differences (p): 1 - between control values and values in patients (Mann-Whitney U test, p < 0.05), 2 - between values in patients with favorable and fatal outcome (Mann-Whitney U test, p < 0.05), 3 -between values on days 1-3 and 4-7 (Wilcoxon test, p < 0.025, adjusted for multiple comparisons), 4 - between values on days 4-7 and 8-14 (Wilcoxon test, p < 0.025, adjusted for multiple comparisons), * – differences are statistically significant.
Table 4. Dynamics of markers of blood apoptosis in patients with severe concomitant trauma
Index |
Reference |
Favorable outcome |
Lethal outcome |
||||
days 1-3 |
days 4-7 |
days 8-14 |
days 1-3 |
days 4-7 |
days 8-14 |
||
Leukocytes, ×109 cells/l |
6.3 (5.1; 5.9) |
6.8 (5.6; 13.3) |
9.2 (6.7; 15.5) |
9.4 (5.6; 13.9) |
8.2 (7.0; 15.8) |
17.2 (13.9; 18.5) |
11.0 (9.3; 13.3) |
p1 = 0.018534* |
p1 = 0.000055* |
p1 = 0.000023* |
p1 = 0.002642* |
p1 = 0.000501* |
p1 = 0.000013* |
||
p3 = 0.247777 |
p4 = 0.55312 |
p2 = 0.334161 |
p2 = 0.026457* |
p2 = 0.627569 |
|||
p3 = 0.500185 |
p4 = 0.079617 |
||||||
Dead cells (DC), % |
0.75 (0.56; 1.14) |
0.80 (0.70; 1.12) |
1.10 (0.90; 1.32) |
1.30 (1.08; 1.46) |
1.05 (0.80; 1.27) |
1.44 (1.15; 1.74) |
1.44 (1.08; 1.65) |
p1 = 0.343534 |
p1 = 0.22704 |
p1 = 0.024002* |
p1 = 0.049459* |
p1 = 0.014671* |
p1 = 0.003016* |
||
p3 = 0.57482 |
p4 = 0.186377 |
p2 = 0.09527 |
p2 = 0.035431* |
p2 = 0.203419 |
|||
p3 = 0.172956 |
p4 = 0.224917 |
||||||
Dead cells (DC), ×106 cells/l |
45.4 (28.5; 72.0) |
68.0 (35.8; 123.0) |
138.0 (83.6; 174.4) |
101.8 (72.3; 183.0) |
84.2 (61.3; 147.0) |
203.5 (197.6; 222.4) |
136.2 (115.2; 171.7) |
p1 = 0.046038* |
p1 = 0.003554* |
p1 = 0.000039* |
p1 = 0.000993* |
p1 = 0.000583* |
p1 = 0.000043* |
||
p3 = 0.235551 |
p4 = 0.411531 |
p2 = 0.147502 |
p2 = 0.013918* |
p2 = 0.363082 |
|||
p3 = 0.685831 |
p4 = 0.043115 |
||||||
Early apoptosis, % |
2.50 (1.60; 3.73) |
5.83 (3.40; 7.34) |
4.77 (2.78; 6.76) |
5.70 (4.90; 6.70) |
4.13 (2.85; 8.08) |
1.99 (1.77; 3.58) |
1.65 (1.37; 3.90) |
p1 = 0.000092* |
p1 = 0.006677* |
p1 < 0.000000* |
p1 = 0.008265* |
p1 = 0.788808 |
p1 = 0.529078 |
||
p3 = 0.076813 |
p4 = 0.052957 |
p2 = 0.72343 |
p2 = 0.03551* |
p2 = 0.001631* |
|||
p3 = 0.248865 |
p4 = 0.753153 |
||||||
Late apoptosis, % |
0.05 (0.04; 0.12) |
0.08 (0.03; 0.14) |
0.10 (0.06; 0.12) |
0.06 (0.03; 0.10) |
0.08 (0.04; 0.10) |
0.05 (0.02; 0.24) |
0.03 (0.01; 0.07) |
p1 = 0.887086 |
p1 = 0.994745 |
p1 = 0.699641 |
p1 = 0.845586 |
p1 = 0.901196 |
p1 = 0.123035 |
||
p3 = 0.648657 |
p4 = 0.569163 |
p2 = 0.955291 |
p2 = 0.8195 |
p2 = 0.093868 |
|||
p3 = 0.892738 |
p4 = 1.000000 |
||||||
CD95+, % |
41.6 (39.05; 50.45) |
51.13 (37.83; 59.40) |
49.00 (45.80; 66.43) |
65.63 (53.87; 71.03) |
43.60 (28.15; 66.87) |
33.70 (32.54; 34.42) |
30.68 (27.39; 39.07) |
p1 = 0.896026 |
p1 = 0.02048* |
p1 = 0.056934 |
p1 = 0.891086 |
p1 = 0.006323* |
p1 = 0.001288* |
||
p3 = 0.120446 |
p4 = 0.340883 |
p2 = 0.735581 |
p2 = 0.001165* |
p2 = 0.00189* |
|||
p3 = 0.027709 |
p4 = 0.753153 |
||||||
CD14+HLA-DR+, % |
84.7 (73.15; 87.45) |
53.50 (44.59; 65.45) |
40.40 (36.67; 57.20) |
83.44 (59.18; 90.35) |
35.57 (23.13; 43.20) |
22.91 (15.81; 32.39) |
28.32 (19.29; 45.54) |
p1 < 0.000000* |
p1 < 0.000000* |
p1 = 0.107695 |
p1 = 0.000105* |
p1 = 0.000324* |
p1 = 0.000015* |
||
p3 = 0.289959 |
p4 = 0.052024 |
p2 = 0.015377* |
p2 = 0.00614* |
p2 = 0.002362* |
|||
p3 = 0.463072 |
p4 = 0.345448 |
Note: the level of significance of differences (p): 1 – between control values and values in patients (Mann-Whitney U test, p < 0.05), 2 – between values in patients with favorable and fatal outcome (Mann-Whitney U test, p < 0.05), 3 – between values on days 1-3 and 4-7 (Wilcoxon test, p < 0.025, adjusted for multiple comparisons), 4 – between values on days 4-7 and 8-14 (Wilcoxon test, p < 0.025, adjusted for multiple comparisons), * – differences are statistically significant.
DISCUSSION
Our data are generally consistent with other studies
of the main causes of death in patients with severe concomitant injury [11], in
which three main causes of mortality can be distinguished: massive blood loss
and resulting shock, edema and dislocation of the brain, as well as development
infectious complications. Massive blood loss and shock were the main causes of
mortality on the first day after injury. The same was true of cerebral edema
with its subsequent dislocation. At later stages, purulent-septic complications
were the predominant cause of mortality. It should be noted that, despite all
anti-epidemic measures and strict infection control, when patients are
artificially ventilated for more than 3 days, at least 70 % of the victims
develop ventilator-associated pneumonia [12].
In response to a traumatic impact, the body launches
a number of systemic reactions aimed at preserving its vital activity. Often,
the post-traumatic period is accompanied by the development of hypoxia and
shock, leading to impaired microcirculation and reduced perfusion of organs and
tissues.
Epinephrine-induced vasoconstriction maintains local
hypoxia and limits tissue turnover during shock. Lack of oxygen is one of the
factors in the development of systemic inflammatory response syndrome (SIRS)
and multiple organ dysfunction syndrome (MODS). The pathogenesis of this
condition is based on the predominance of anaerobic glycolysis, which results
in the accumulation of lactate and hydrogen ions in the cell, which, in turn,
is an inducer of mitochondrial pore closure (mPTP). This process mediates the
accumulation of Na+ and Ca2+ ions inside the mitochondria, which
contributes to increased production of free radicals through hypoxia-induced
factor 1-alpha (HIF-1α).
This
process, under conditions of disruption of the intake of components of the
antioxidant defense system into mitochondria, causes the accumulation of active
radicals, intensification of lipid peroxidation processes, and damage to
functional structures in mitochondria [13]. At the same time, coagulopathy,
inflammation, anaerobic metabolism and oxidation contribute to the development
of endotheliopathy [14]. In this case, relaxation dysfunction develops in the
endothelium of arterioles, which is associated with local hyperproduction of
reactive oxygen species (ROS) by CD11/CD18+ cells. In capillaries, activated
leukocytes adhere to damaged endothelial cells.
The endothelium of postcapillary venules plays a key
role in the occurrence of secondary complications in severe concomitant injury.
Firstly, ROS cause complement (C5) activation and the production of a number of
factors, such as B4 leukotriene, which is able to induce adhesion and
activation of leukocytes on the endothelium. ROS also induce the release of
Weibel-Palade bodies, which are large endothelial vesicles containing von
Willebrand factor (vWF) and P-selectin. These compounds provide adhesion and
penetration of CD11/CD18+ activated cells such as neutrophils and platelets.
The inflammatory response is enhanced by mast cells and macrophages, which
release inflammatory mediators such as TNF-α, nitric oxide (NO) and histamine. In addition, ischemia and
inflammation often lead to disruption of endothelial tight junctions,
adhesions, and glycocalyx components. Activated neutrophils cause breakdown of
the glycocalyx during injury as they release proteolytic enzymes such as
neutrophil elastase, which promotes the synthesis of local inducible nitric
oxide synthase (iNOS) and ROS. All this contributes to the violation of the
integrity of the connection of endothelial cells and the permeability of the
endothelial barrier, which leads to a change in the vasotonic and hemostatic
function of the endothelium [15].
However, the reperfusion stage, which occurs in
conditions of intensive care, is more dangerous. When switching from anaerobic
glycolysis back to oxidative phosphorylation, the synthesis of adenosine
triphosphate (ATP) by mitochondria is triggered, but at the same time, an even
greater production of active radicals occurs as a result of damage to
mitochondrial structures. This process causes irreversible damage, including
such important structures as mitochondrial DNA (mtDNA) while slowing down ATP
synthesis. Restoration of intracellular pH to a physiological level activates
the opening of the mitochondrial pore, leading to oversaturation of the
mitochondria with Ca2+ and activation of calpain. On the other hand, there is a
release of active radicals, as well as other compounds, including cytochrome C
(cyt C), which cause the activation of caspases [13].
It is this cascade, i.e. the activation of
leukocytes and neutrophils, as well as the expression of cytokines and adhesion
molecules, leads to cell death due to apoptosis. In addition, there is a high
probability of developing thrombosis with further damage to the
microvasculature as a result of activation of the complement system and the
coagulation cascade.
In understanding the fundamental molecular mechanisms
of many physiological and pathophysiological processes, an important role is
assigned to the main factor of vasodilation, and NO, which can have a
multidirectional effect under certain conditions. In essential hypertension, it
has a normalizing effect on hemodynamics, but in hemorrhagic or traumatic
shock, on the contrary, it destabilizes it, lowering blood pressure due to
hyperactivation of inducible nitric oxide synthase. Since NO is an active form
of oxygen that easily interacts with the superoxide anion radical (O2–)
to form peroxynitrite (ONOO–) under conditions of suppression of superoxide
dismutase activity, the study of NO generation during oxidative stress, which
is characteristic of combined injury, seems to be very important [5].
The described mechanisms of development of oxidative
stress and apoptosis generally correspond to our data. On the first day,
against the background of the consequences of ischemia-reperfusion syndrome,
there is a shift in almost all analyzed parameters from their normal values.
Among markers of oxidative stress, a particularly noticeable difference with
control values is observed for MDA, ACE, ORC (p < 0.0001) (Table 2). The
state of the body's antioxidant defense system deserves special attention in this
period. In contrast to patients with favorable outcomes, when a quite natural
noticeable decrease in the activity of the antioxidant system was noted on the
first day [16], in patients with lethal outcomes, the decrease in the activity
of this system was not so pronounced. This circumstance may be associated both
with an increase in the production of antioxidants in response to increasing
oxidative stress [17] and with the inhibition of free radical processes against
the background of hypoxia [18] on the first day after injury.
This
pattern of changes in indicators persists for about 7 days and can characterize
the stage of acute oxidative stress [19]. The totality of the processes
occurring in this period determines the further dynamics of the patient's
condition, since significant differences are observed in the future. In
patients with a favorable outcome, after 7 days, a sharper decrease in the
intensity of changes in oxidative stress indicators (OAA, OCR, Q) is noted,
which may indicate the achievement of the so-called “quasi-stationary” level of
active radicals [19], which characterizes the state of chronic oxidative stress.
At the same time, in patients with a fatal outcome in this period, a further
decrease in the activity of the antioxidant system is observed against the
background of an increase in oxidative processes, i.e., the transition of
oxidative stress to an uncontrolled stage.
The
level of stable metabolites of nitric oxide was statistically significantly
reduced relative to normal values up to the 14th day of observation in the
group with a favorable outcome (Table 2). In the group with a lethal outcome,
the NOx indicator did not statistically significantly differ from the normal
values at all periods of the study and was statistically significantly higher
on the 7th day compared to the group with a favorable outcome (p = 0.014)
(Table 2). However, it should be noted that in the group with a fatal outcome,
especially on the 14th day, a number of patients had a very high level of NOx.
The increase in the level of NOx, apparently, is due to the septic status,
since in the group with a lethal outcome, the level of leukocytes at these
times was also statistically significantly different from the group with a
favorable outcome. It is known that the level of NO increases in sepsis
and septic shock, since iNOS is activated during infection, which generates
hyperproduction of NO. The interaction of NO and ACE provides multidirectional
regulation of blood pressure levels under both physiological and
pathophysiological conditions. ACE has a vasopressor effect, converting
angiotensin I to angiotensin II, the most powerful vasopressor, the effect of
which is 50 times higher than that of adrenaline. The ACE level statistically
significantly decreases in the group with a favorable outcome relative to the
norm at all follow-up periods (p < 0.005) (Table 2), which indicates
conjugation in vascular regulation by the endothelium. While this balance was
not observed in the group with a lethal outcome, the ACE level was
statistically significantly below the norm against the background of normal NOx
values, and by the 14th day did not differ from the norm against the background
of a decrease in NOx (Table 2).
The content of leukocytes in the venous blood of the victims increased already from the first day after the injury and reached its maximum values by the 4-7th day both in the survivors and in the dead (Table 3). At the same time, on days 4-7, the number of leukocytes in the blood of deceased patients was 1.72 times higher than in patients with a favorable outcome of a severe concomitant injury. Also, patients noted an increase in the concentration of dead blood leukocytes, most pronounced in patients with an unfavorable outcome of injury. Leukocytosis and an increase in dead leukocytes in venous blood are due to the development of endotoxemia in patients with severe concomitant trauma caused by hypoxia, an array of damaged tissues, and an associated infection. Infectious complications in victims with severe concomitant injury often develop against the background of immune system dysfunction. Thus, already from the first day after a severe concomitant injury, a decrease in the population of monocytes with the CD14+HLA-DR+ phenotype, which present the antigen to T-lymphocytes, was noted in patients. The minimum content of CD14+HLA-DR+ monocytes in the blood was noted on the 4th-7th day after the injury, while the concentration of antigen-presenting monocytes in the blood of deceased patients was significantly lower than in the group of survivors at all follow-up periods (Table 3).
The concentration of lymphocytes expressing the Fas-receptor (CD95+) on their surface in the blood of victims on the 1-3rd day after the injury did not differ significantly in the compared groups and was recorded within the upper limits of the physiological norm. On days 4-7, a significant decrease in CD95 positive lymphocytes in venous blood was noted in deceased patients. It is known that Fas also mediates the transmission of non-apoptotic signals in lymphocytes, including facilitating their differentiation during the development of the immune response [20]. Thus, the low content of CD95+ lymphocytes in the peripheral blood of patients with an unfavorable outcome of a severe concomitant injury also causes a violation of the processes of activation of the immune system. The low concentration of CD95+ lymphocytes in deceased patients was also accompanied by a significant decrease in apoptotic lymphocytes in the blood, observed in deceased patients on days 4-7 and 8-14 after injury. It should be noted that the concentration of apoptotic lymphocytes in patients with a favorable outcome of injury was slightly higher than normal throughout the entire observation period.
CONCLUSION
Thus, our data indicate a difference in the dynamics of changes in markers of oxidative stress and apoptosis. It is shown by a sharper decrease in the intensity of changes in oxidative stress indicators (TAA, OCR, Q) in patients with a favorable outcome by the 7th day after injury, which may indicate the achievement of the so-called "quasi-stationary" level of active radicals, which characterizes the state of chronic oxidative stress. At the same time, in patients with a fatal outcome, there is a constant decrease in the activity of the antioxidant system against the background of an increase in oxidative processes during the entire observation period, i.e., the transition of oxidative stress to an uncontrolled stage. In addition, data on the dynamics of NOx and ACE levels indicate the development of endotheliopathy in patients with a fatal outcome, which, in particular, is manifested by a violation of vascular regulation. Analysis of the dynamics of apoptosis markers (the number of leukocytes in venous blood, CD95+ lymphocytes, CD14+HLA-DR+ monocytes) of the blood revealed a significant violation of the processes of activation of the immune system, which leads to the development of infectious complications in patients with severe concomitant injury.
REFERENCES:
1. Agadzhanyan VV, Kravtsov SA. Polytrauma, the ways
of development.
Polytrauma. 2015; (2):
6-13. Russian (Агаджанян В.В., Кравцов С.А.
Политравма, пути развития (терминология) //Политравма. 2015. № 2. С. 6-13)
2. Khubutia
MS, Shabanov AK., Bulava GV, Dorfman AG, Zainudinov ZM, Skulachev MV, et al.
Oxidative distress in patients with polytrauma. General Reanimatology. 2014; 10(2): 23-30. Russian (Хубутия М.Ш., Шабанов А.К., Булава Г.В.,
Дорфман А.Г., Зайнудинов З.М., Скулачев М.В. и др. Окислительный дистресс у
пострадавших с тяжелой сочетанной травмой //Общая реаниматология. 2014. Т. 10, №
2. С. 23-30.) doi: 10.15360/1813-9779-2014-2-23-30
3. Gumanenko
EK, Zavrazhnov AA, Suprun AYu, Khromov AA. Severe combined trauma and
polytrauma: definition, classification, clinical characteristics, treatment
outcomes. Polytrauma. 2021; (4):
6-17. Russian (Гуманенко Е.К., Завражнов А.А., Супрун
А.Ю., Хромов А.А. Тяжелая сочетанная травма и политравма: определение,
классификация, клиническая характеристика, исходы лечения //Политравма. 2021. № 4. С. 6-17.) doi: 10.24412/1819-1495-2021-4-6-17
4. van
Breugel JMM, Niemeyer MJS, Houwert RM, Groenwold RHH, Leenen LPH, van Wessem
KJP. Global changes in mortality rates in polytrauma patients admitted to the
ICU – a systematic review. World Journal
of Emergency Surgery. 2020; 15: Article 55. doi: 10.1186/s13017-020-00330-3
5. Lugrin J,
Rosenblatt-Velin N, Parapanov R, Liaudet L. The role of oxidative stress during
inflammatory processes. Biological
Chemistry. 2014; 395(2): 203-230. doi: 10.1515/hsz-2013-0241
6. Servia L,
Serrano JCE, Pamplona R, Badia M, Montserrat N, Portero-Otin M, et al.
Location-dependent effects of trauma on oxidative stress in humans. PLoS ONE. 2018; 13(10): Article e0205519. doi:
10.1371/journal.pone.0205519
7. Gusev EYu, Zotova NV. Pathogenesis and
prediction of critical complications of polytrauma from the position of common
pathological processes. Polytrauma. 2021; (1):
97-116. Russian (Гусев Е.Ю., Зотова Н.В. Патогенез и
прогноз критических осложнений политравмы с позиции общепатологических
процессов //Политравма. 2021. № 1. С. 97-116.) doi: 10.24411/1819-1495-2021-10013
8. Huber-Lang
M, Lambris JD, Ward PA. Innate immune responses to trauma. Nature immunology. 2018; 19(4): 327-341. doi: 10.1038/s41590-018-0064-8
9. Mortaz E,
Zadian SS, Shahir M, Folkerts G, Garssen J, Mumby S, et al. Does neutrophil
phenotype predict the survival of trauma patients? Frontiers in Immunology. 2019; 10: Article 2122. doi: 10.3389/fimmu.2019.02122
10. Goroncharovskaya
IV, Evseev AK, Shabanov AK, Denisenko O, Kuzovlev AN, KlychnikovaEV, et al.
Electrochemical methods for assessment of polytrauma outcomes. Electroanalysis. 2021; 31(2): 550-557.
doi: 10.1002/elan.202060356
11. Shabanov
AK, Kartavenko VI, Petrikov SS, Marutyan ZG, Rozumny PA, Chernenkaya TV, et al.
Severe multisystem craniocerebral injury: features of the clinical course and
outcomes. Russian Sklifosovsky Journal «Emergency Medical Care». 2017; 6(4): 324-330. Russian (Шабанов А.К., Картавенко
В.И., Петриков С.С., Марутян З.Г., Розумный П.А., Черненькая Т.В. и др. Тяжелая
сочетанная черепно-мозговая травма: особенности клинического течения и исходы
//Журнал им. Н.В. Склифосовского «Неотложная медицинская помощь». 2017. Т. 6, № 4. С. 324-330. doi: 10.23934/2223-9022-2017-6-4-324-330
12. Korobushkin
GV, Shigeev SV, Zhukov AI. Analysis of causes of death in a sample of
patients with
polytrauma in
Moscow. Polytrauma. 2020; (2): 47-53.
Russian (Коробушкин Г.В., Шигеев С.В., Жуков А.И.
Анализ причин смерти в выборке пациентов с политравмой в Москве //Политравма.
2020. № 2. С. 47-53.) doi:
10.24411/1819-1495-2020-10019
13. Levina OA,
Evseev AK, Khubutiya MS, Babkina AV, Shabanov AK. Hyperbaric oxygenation in
transplantology. Transplantologiya. The Russian
Journal of Transplantation. 2020; 12(1): 28-41. Russian (Левина О.А., Евсеев
А.К., Хубутия М.Ш., Бабкина А.В., Шабанов А.К. Гипербарическая оксигенация в трансплантологии
//Трансплантология. 2020. Т. 12, № 1. С.
28-41.) doi: 10.23873/2074-0506-2020-12-1-28-41
14. White NJ,
Ward KR, Pati S, Strandenes G, Cap AP. Hemorrhagic blood failure: oxygen debt,
coagulopathy, and endothelial damage. The
journal of trauma and acute care surgery. 2017; 82(6): S41–S49. doi: 10.1097/TA.0000000000001436
15. Alves NG,
Motawe ZY, Yuan SY, Breslin JW. Endothelial protrusions in junctional integrity
and barrier function. Current Topic in
Membranes. 2018; 82: 93-140. doi:
10.1016/bs.ctm.2018.08.006
16. Săndesc D.
Oxidative stress in the critically ill polytrauma patient. The Journal of Critical Care Medicine. 2015; 1: 81-82. doi: 10.1515/jccm-2015-0013
17. Lorente L,
Martin MM, Almeida T, Abreu-Gonzalez P, Ferreres J, Sole-Violan J, et al.
Association between serum total antioxidant capacity and mortality in severe
septic patients. Journal of Critical Care.
2015;
30(1): 217. e7-217.e12. doi: 10.1016/j.jcrc.2014.09.012
18. Bell EL,
Klimova TA, Eisenbart J, Schumacker PT, Chandel NS. Mitochondrial Reactive
oxygen species trigger hypoxia-inducible factor-dependent extension of the
replicative life span during hypoxia. Molecular
and Cellular Biology. 2007; 27(16): 5737-5745. doi: 10.1128/MCB.02265-06
19. Lushchak VI, Storey KB. Oxidative stress
concept updated: definitions, classifications and regulatory pathways
implicated. EXCLI Journal. 2021; 20: 956-967. doi: 10.17179/excli2021-3596
20. Klebanoff
CA, Scott CD, Leonardi AJ, Yamamoto TN, Cruz AC, Ouyang C et al. Memory T cell-driven
differentiation of naive cells impairs adoptive immunotherapy. The Journal of Clinical Investigation.
2016; 126(1): 318-334. doi: 10.1172/JCI81217
Статистика просмотров
Ссылки
- На текущий момент ссылки отсутствуют.