Study of hemolytic activity and subfactors of complement in smokers intoxication

DOI: https://doi.org/10.21203/rs.2.10950/v1

Abstract

Heavy Smokers appeared to be less resistant to infection, such as bacteria, viruses, and parasites. Many studies have examined the complement components concentrations than compared with normal people and ignored the functional sequencing of complement components, our study included the determination of complement activity by using Sheep red blood cells (SRBCs) as antigen and extracting the hemolytic activity (50%) of complement compounds, and because of difficulty of this method we using statistical analysis program (SPSS 23) and derived the inverse equation which gives the decomposition percentage (1-100%) of complement components by using five serum dilutions only. The total hemolytic complement activity (CH50) and its C3 and C4 fractions were determined in 30 heavy smokers. The results were compared with a control group that contained 30 persons matched in age and sex. Generally, both C3 and C4 concentrations were increased in smoker's individual in compared with the control group. However, when the independent t-test has applied the differences in the C3 and C4 levels in the control group (healthy individuals) and in the smoker group were found to be statistically insignificant but the inverse equation showed a 7% reduction in CH50 in smokers compared with the control group, where 18% reduction was observed. Our current study suggests that the complement components of the heavy smokers suffer from a significant dysfunction in the function, although the concentration of the basic components in the serum is parallel with normal values.

Background

Cigarette smoke (CS) is an emergent cause of mortality that can be eliminated by prevention [1]. Gross global, more than 3 million people suffered from serious diseases that cause death in smoking persons each year [2]. The mortality ration of death in smoking peoples were dependent on many factors; in which the daily average consuming number of cigarettes, the time of cigarette consumption, the depth of inhalation and the age were the smokers start smoking cigarettes, these factors are the most important risk factors that increase death numbers [3,4]. The smoke of cigarette contains more than 4000 different chemical compounds, a potentially carcinogenic compound in this smoke were more than 400 chemicals; in addition to oxidants that cause damages to biomolecules such as oxygen free radicals and volatile aldehydes [5]. Cigarette smoke contains chemical substances with high cytotoxic potentials [6]. Nicotine and tar considered as carcinogenic chemicals in addition to the gaseous form of carbon monoxide [7]. Oxidative injury was initiate and promote by free radicals that found in large quantities in cigarette smoke [8].

Long (chronic) inhalation of cigarette cause massive alteration in immune system response, especially in innate and adaptive immunological functions. Several recent scientific reports have indicated that most of the health problems caused by chronic consumption of cigarette smoke can be attributed to dysfunction of the immune system. Many medical reports dating back to the 1960s suggest that an increase in smoking-related diseases can be caused by tobacco, which changes the response of the immune system and inflammatory reaction [9]. Cigarette smoking changes many immune system functions in both human and laboratory animals, and these changes can be observed in both cellular and humoral immune responses, numerous medical reports have suggested that impair the immune system may be attributed to increased exposure to cigarette smoke [10].

The complement system is an essential element of the immune system especially innate part, which is responsible for defense against bacterial invasion, in addition to its share part in removing immune complexes and dead cells. Both complement 3 and 4 are the most important proteins in blood plasma, which mostly interferes in immune response mediated by complement pathways. During inflammatory response due to infections, synthesis of C3 and C4 increases, but these increase in production is lower than recorded when compared with conventional acute phase proteins [11].

The inhalation of cigarette smoke is supposed to activate the complement system, which is it initiates production of cytokines that cause attraction of leukocytes in the pulmonary fluid [12].

A number of studies have examined the total hemolytic activity of complement and chose to study the effect of smoke on purified C3 [12]. Other studies have recently demonstrated the consumption of complement hemolytic activity in serum following its incubation with cigarette smoke condensate [13,14].

Very few studies have examined complement hemolytic activity CH50 in smokers, possibly because of the difficulty in determining it. Therefore, our current study investigates the concentration of the complement 3 and complement 4, and measured complement hemolytic activity CH50 with sensitized sheep red blood cells.

Methods

60 persons were included in the current study, which divided into two groups. Group1 included 30 heavy smokers, aged between 20-45 years. In this group, the mean number of cigarettes smoked per day was 30-40, and the group members had been active smokers for a period of at least 5 years from the study’s commencement date. All smokers were apparently healthy and demonstrated no clinical symptoms, while 4 smokers suffered from trouble breathing, shortness of breath and coughing. Individuals diagnosed with viral infection or autoimmune disease were not included in experiment groups. Group 2 consisted of age- and sex-matched non-smokers individual with no signs of illness or symptoms of autoimmune disease.

Sample collection:

Blood samples were obtained via venipuncture. Blood samples collected from the participants were allowed to clot at room temperature for 30 min. later the samples of collected serum were separated from blood by centrifugation for 15 minutes at speed 2500 rpm. A serum sample was collected and preserved in the deep refrigerator at -70 C°.

Complement 3 and complement 4 identification:

Both complements (3 and 4) were calculated by a protocol described by Mancini et al, 1965 using an immunodiffusion technique kit supplied by LTA Company [15].  The blood serum was poured into the wells then incubated for 48 to 72 hours. A precipitation diameter of each serum sample was calculated and the protein concentration was recorded from the table supplied with the kit and termed as Reference Table. The normal value of C3 is ranged between 91 and 156 mg/dl and for C4 it is ranged between 20 and 50 mg/dl.

Measuring the 50% Hemolytic Complement (CH50) Activity of Serum

In order to measure the 50% Hemolytic Complement (CH50) activity of serum, a number of preliminary steps were taken. These included:

Preparation of 5x Veronal Buffered Saline (VBS)

To prepare the veronal buffered saline solution, a three solution should be prepared in advanced then they mixed in specifically arranged to obtain VBS as follow:

Solution I: it was prepared from dissolving 21.25 grams of Sodium Chloride with 0.94 gram of Sodium Barbiton in 350 ml of distilled water (1.02M for Sodium Chloride, 13mM for Sodium Barbiton in prepared solution).

Solution II: it was prepared from dissolving 1.44 gram of Barbiton in 125 ml of hot distilled water (62.5 mM of the prepared solution).

Solution III: it was prepared from dissolving of 4.41 grams of Calcium Chloride and 20.33 grams of Magnesium Chloride in 100 ml of distilled water (440mM for Calcium Chloride, 2.18M for Magnesium Chloride in prepared solution).

Mixing Steps: At the first step, the solution I and Solution II were mixed at prepared volume and allowed to cool at room temperature (since the solution II is prepared in hot distilled water). Later, add 1.25 ml of Solution III and bring the pH to 7.3 - 7.5 by using HCl (1M). After adjusting the pH the volume of final solution should be fixed at 500 ml using distilled water, in order to prepare 5x of stock solution of VBS, which should be preserved in the refrigerator till it used and marked as Stock Solution. In order to prepare the working solution of VBS, the stock solution which is previously prepared were diluted at 1:5 with distilled water.

 

 

Sensitization of sheep red blood cells with hemolysin

Hemolysin (rabbit anti-sheep red blood cell antibody) was prepared by diluting at 1:50 with VBS. 6 ml of VBS was added to 4 ml of sheep red blood cells (SRBC) and mixed gently by inversion. The resulting mixture was centrifuged at 600 g for 5 min and the supernatant discarded. The cell pellets were washed twice again with a mixture of VBS and SRBC. Later, the pellets were centrifuged at 900 g for 5 min to collect cells, the supernatant was discarded. Cells resuspended by VBS to prepare a 10% solution, in which 1 ml of collected cells were resuspended in 10 ml of VBS. Later, an equal volume of hemolysin was added to collect cells from the previous step with continuous swirling. The mixture was incubated at 30°C for 30 minutes in a water bath while being mixed every 15 min. The final solution of SRBC (sensitized) was stored in a refrigerator overnight.

CH50% assay

Clean glass tubes were labeled 1:8, 1:16, 1:32, 1:64 and 1:128 in duplicate. Next two-fold dilutions in serial manure were performed at the serum of test and control group in VBS were prepared in each duplicate for each label. Beginning with the 1:4 (100 µl serum with 300 µl VBS) tube, 200 µl of the sample was transferred into the next tube. After mixing, another transfer of 200 µl was made to the next tube were done using a new pipette tip. This was repeated until the final dilution (1:128) were prepared. A 200 µl aliquot of suspended sensitized SRBC was added to all tubes. Also, 200 µl of sensitized SRBC with 200 µl VBS was added to two separate tubes labeled as ‘blank’. Another two tubes containing 200 µl of sensitized SRBC with 200 µl distilled water were labeled as ‘total lysis’. The tubes were gently mixed every 15 minutes while incubating at 37 °C for 30 minutes in a water bath.  Following the incubation period, the resulting mixture was centrifuged at 1,500 g for 5min to sediment the RBC. Then 100 µl of supernatant from each tube were added to each well. A 100 µl of distilled water was added to each well. The well result was read using plate spectrophotometer reader at 540 nm wavelength.

 

 

Data analysis

The mean absorbance was calculated for each sample after subtracting the BLANK absorbance (spontaneous lysis) from the absorbance recorded for all samples. The percentage lysis was estimated for each dilution using the formula:

Due to technical limitations, Equation 1 has been placed in the Supplementary Files section.

Plots of the percentage lysis (vertical axis) versus the serum dilution on the horizontal axis were created as described in a previous study [16]. The data were analyzed using an independent-sample t-test to check whether there were statistically significant differences at p ≤ 0.05. An inverse equation was applied to extract the 50% hemolytic activity value.  All statistical analysis was performed using SPSS version 23.

Results

The result of data analyses showed that the concentration of complement 3 and 4 were higher among smokers compared to the control group (Table 1). For instance, the minimum C3 concentration was 183.73 mg/dl for the smoker group while it was 146.24 mg/dl for the control group. A similar observation was observed for C4 (Table 1). However, when the independent t-test was applied to the mean concentration of C3 and C4 levels in the control and smoker groups were found to be statistically insignificant (Table 1).

The result also showed a significant decrease in the hemolytic activity of complement in all dilutions 1/8,1/16,1/32,1/64 and 1/128 compared with control, as shown in table (2).

         Estimation of the percentage of hemolytic activity (CH50) of the complement components using a dilution is typically very difficult to manually determine. Hence, in this study, we used the inverse equation in the SPSS23 program to determine the value of hemolysis at 50%. In addition, the inverse equation provides an opportunity to extract the value of hemolysis at any level of hemolysis chosen by the researcher (1-100%). The equation is based on a reconciliation between the dependent variable, which is the percentage of the decomposition of the SRBC by a complement of smokers and the independent variable that is the effect of the dilution.  The inverse equation is given as:

 

Due to technical limitations, Equation 2 has been placed in the Supplementary Files section. 

 

Y represents the value of decomposition of red blood cells by the complement and X represents both serum vasoconstriction and control sample. The inverse equation showed a 7% reduction in CH50 in smokers (Table 3a) compared with the control group, where an 18% reduction was observed (Table 3b and Fig. 1).

Discussion

The result of data analyses showed that the concentration of complement 3 and 4 were higher among smokers compared to the control group (Table 1). For instance, the minimum C3 concentration was 183.73 mg/dl for the smoker group while it was 146.24 mg/dl for the control group. A similar observation was observed for C4 (Table 1). However, when the independent t-test was applied to the mean concentration of C3 and C4 levels in the control and smoker groups were found to be statistically insignificant (Table 1). Our results disagree with the previous study. For instance, [12]  showed that cigarette smoke contains numerous compounds especially methylamine, which causes break down the thioester bonds in C3 leading to alternative pathway activation, this alternative pathway mechanism may explain the increase in the level of C3 in all smokers. Our study agrees with the study by [17], which they found the mean serum levels of C3 and C4 statistically insignificant compared with control.

Some of the subjects in our study suffered from wheezing and shortness of breath. The increased levels of C3 in some smokers may be associated with allergic and inflammatory reactions caused by smoke that contains a huge number of harmful compounds.

Activation of complement factors may be an important part of inflammatory processes. Smoke does not activate C1, indicating that it does not activate the classical pathway. However, smoke completely consumes serum C4. Since C4, like C3, contains an internal bond [18], cigarette smoke may directly consume C4 by cleaving its thioester without activating the classical pathway. This may explain the change in C4 concentration in some of the smokers in this study.

Depending on the collected data, the results exclude the effect of complement 3 and/ or complement 4 in developing the pathogenesis of inflammation induced by smoking cigarettes. Instead, a traditional protocol known as total hemolytic assay (CH50) were used in this study to determine the function of complement activity. In short definition, CH50 calculate the ability of test serum to lyse half of the standard solution of sheep red blood cells coated with anti-erythrocyte antibody (terminal complement components and classic activation were calculated). In which, total complement activity indicated abnormal value if any component were defective [19].

The CH50 test will determine the ability of serum to hemolysis the sheep red blood cells, this test is always used for assessment the classical activation pathway of the complement system at the first step. The result of CH50 test will report the level of dilution of serum that can induce hemolysis of 50% of sheep red blood cells. Any increase in CH50 test results indicates an increase in activity of classical activation pathway for complement system, these increase in activity of complement system activation were not associated with any clinical signs except it probably indicate a process of active inflammatory and immune response. In other hands, undetectable CH50 test result indicates that a complement system suffering from a deficiency in any component of its elements. So, any defect in the production of any elements of the complement system will lead to dysfunction in classical activation pathways of complement.

The Inherited dysfunctions present in may clinical features included recurrent infection and autoimmune disorders. The recurrent infection can relate to respiratory system inflammation (as in sinusitis, bronchitis, and pneumonia), meningitis and sepsis. Streptococcus pneumonia considers the most common bacterial causes of these previous cases [20].                                                                                   

Autoimmune disorder and recurrent bacterial infection can associate with deficiencies in elements of complements 1, 2, 3, and 4. In the other hand, the deficiency in complement 2 components did not associate with and clinical illness in individuals, while a deficiency in complement 3 components mostly associated with severe recurrent infection, and autoimmune disorders. The components of complement 5 to complement C9 form the membrane attack complex (MAC) that leads to direct destruction of antigen [19].

The complement system may be playing an important role as a central responder of the immune system which can affect the production of immunoglobulins [21]. CH50 test result depends on all the classical components, so any changes in the concentration of any of the components will lead to changes in the total activity of the complement system. Hemolytic activity of complement can be affected when there are considerable changes in the concentration of any of the components [22].

One notable cause of the reduction in CH50 is the presence of underlying hepatic disease [23] since the liver is responsible for producing most of the complement components. Cigarette smoke causes a wide range of harmful effects on organs that are not related to direct association with smoke, as in the liver. The heavy smoking individual will introduce toxins to their circulation, that lead to necroinflammation result in increased in the severity of the lesions occurs in hepatic parenchyma [24]. 

Cigarette smoke can cause harmful changes on the liver and its function which included in three categories (1) toxic changes [25], (2) immunological changes [26] and (3) oncogenic changes [27].

A previous study [28] indicated that compounds in cigarette smoke can cause complement alternative pathway activation through specific modifying in C3 chemical bounds. This suggests that the alternative pathway works more than the classical pathway, which is dependent on antibody-antigen reaction, despite the increased level of immunoglobulins in smokers [29]. However, the classical pathway seemed to be not so active in smokers compared with the control group. Cigarette smoke contains numerous oxidants, which produce free radicals that affect neutrophils and generate oxidative stress in the body. This, in turn, produces highly reactive oxygen and nitrogen species [29].

Complement activation begins with a series of enzymatic reactions with C1q until it reaches the C5 component. The proteolytic activity begins when it reaches the C9 component. Oxidative stress directly exerts its effects on enzymatic reactions and reduces the hemolytic activity of the classical complement pathway. In addition, other studies have recently demonstrated the consumption of complement hemolytic activity in serum following its incubation with cigarette smoke condensate [13].

Some studies that examined the total hemolytic activity of complement chose to study the effect of smoke of cigarettes on purified complement 3, this related to two main facts which are (1) high concentration of this complement in blood serum, also (2) C3 consider as a key master to activate classical and alternative pathways [12]. Despite the high concentration of C3 in 10 smokers in the current study, the rate of hemolytic activity was still lower than in the control group, indicating a decrease in activation of the classical pathway. In contrast, we also observed lower and normal levels of C3 in other smokers. The decline in CH50 was possible because the classical pathway needs a high level of C3 component in serum for its activation.

Conclusions

By following these studies and comparing the results within our current study we conclude that there is a defect in the function of the complement system and the emergence of indicators of the inflammatory state, although all smokers do not show any disease or inflammatory stats, but the presence of the reduction in CH50% is a clear indication of the presence of inflammatory condition may be attributed to an increase in antioxidants, which it may leads to a defect on the genes which is leads to appearance of a new strange antigenic proteins on the body and begin autoimmune disorder, or a defect in the functions of liver and lung on smokers, especially because they are exposed to inhalation of a large number of toxic substances, which enter to tissue and interact with it, or the complement protein associated with toxic oxides that enter the body through smoking and lead to the occurrence of synthetic changes in it and thus invalidate it works, or at least reduce the immune response as shown in the results of our research

Declarations

Abbreviations: SRBCs: Sheep Red Blood Cells, CH50:  Complement Hemolytic (50%), C: complement compounds, VBS: Veronal Buffered Saline, MAC: Membrane attack complex

 

Ethics approval and consent to participate: This study was approved by Scientific Committee in the Department of Biology, Science collage, University of Mosul, and carried out according to Institutional guidelines, all participants provided written consent.

 

Consent for publication: Not applicable

 

Availability of data and material: The datasets generated during the current study are available from the corresponding author on reasonable request.

 

Competing interests: The author declare that there are no competing interests.

 

Funding: Not applicable

 

Authors' contributions: Not applicable

 

Acknowledgements: The author would like to thank all patients for their participation, And also would like to thank Mohamed A. Al-Shahery and Khayri Bdl Rashid for facilitate the realization of this work.

 

Authors' information: Biology Dep., Science collage, Mosul University

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Tables

Table (1): Serum levels of C3 and C4 in heavy smokers compared with a control group.

 

Subject

No. of patients

Mean± S. D.

mg/dl

Std. error

Mean

Extreme values

mg/dl

Sig.

         C3

Smoker

30

183.73±278.20

71.818

94.2-232.9

0.610

Control

30

146.24±41.46

10.703

91-156

C4

Smoker

30

  31.30±9.18

2.371

13-76.2

0.762

  Control

     30

  29.80±16.65

    4.299

20-50

*P≤0.05

 

Table 2: Hemolytic complement activity with all dilutions in smokers compared with the control group.

 

Dilutions

Subject

No. of patients

Mean± S. D.

Hemolytic%

Std. error mean

Extreme

Values

Hemolytic%

Sig.

1/8

Smoker

30

72.82 ± 16.73

5.047

43.82-88.76

0.034*

Control

30

92.64 ± 23.22

7.002

57.30-117.97

1/16

Smoker

30

30.13 ± 10.79

3.255

19.10-50.56

0.006*

Control

30

46.47 ±13.69

4.130

34.83-73.03

1/32

Smoker

30

11.95 ± 4.69

1.415

5.61-21.34

0.000*

Control

30

29.72 ± 6.89

2.079

16.85-37.07

1/64

Smoker

30

5.16 ± 3.04

0.919

0.67-10.11

0.000*

Control

30

14.40 ± 5.98

1.804

3.37-21.34

1/132

Smoker

30

1.61± 1.17

0.353

0.22-3.37

0.012*

Control

30

6.64 ± 5.59

1.667

0.22-12.32

*P≤0.05

 

Table 3a and b: Determining the value of hemolytic activity CH50 using an inverse equation for smokers and the control group.

Control                                                      

Coefficients

Equation

 

Unstandardized Coefficients

Standardized Coefficients

T

Sig.

Y=3.43 + 714.075/50 

Y=17.7115 ≈ 18 %                                                                                                                                      

B

Std. Error

Beta

1 / Dilutions( )

714.075

29.097

.998

24.542

.000

Constant(

3.430

1.877

 

1.827

.165

 

Smokers

                                            Coefficients

Equation

 

Unstandardized

Coefficients

Standardized Coefficients

T

Sig.

Y= -5.31 + 612.108/50

Y = 6.93  ≈ 7%                      

 

B

Std. Error

Beta

1 / Dilutions( )

612.108

26.734

.997

22.896

.000

Constant(

-5.310

1.725

 

-3.079

.054