Manuscript accepted on :02-03-2022
Published online on: 17-03-2022
Plagiarism Check: Yes
Reviewed by: Dr. Arnaw Kishore
Second Review by: Dr. Salman Ahmed Pharmacognosy
Final Approval by: Dr. H Fai Poon
Bushra Qasim Dhumad and Safa Ibrahim Jaber*
College of health and Medical Technology, Middle Technical University, Baghdad/Iraq
Corresponding Author E-mail: safa.ibrahim@mtu.edu.iq
DOI : https://dx.doi.org/10.13005/bpj/2368
Abstract
SARS COV-2is a very dangerous virus that has led to many deaths. H. Influenzais a bacteria that causes many infections inside the human body, such as pneumonia. In this study, a total of (60)blood samples were taken from patients infected with SARS COV-2shared with H. Influenza infection who attended Ibn-Al-Baladi Hospital/Baghdad city during the period from 15th January to 1st December 2021. Venous blood samples were also taken from (60) healthy individuals as a control group. The results showed that the distribution rate of the SARS COV-2 IgG and H. influenza IgG among the male patients was twice44 (73.3%)more than the distribution rate among female patients. The prevalence of SARS COV-2 IgG and H. influenza IgG was shown to be the highest among the age group (>51) years, followed by the age group (21-30) years. The cases of SARS COV-2and H. influenza infections among the studied patients according to residency were shown to be almost equal among rural and urban residents 30,30 (49.2%,50.8%) respectively. Regarding the relationship between SARS COV-2 IgG and H. influenza IgG and CRP levels, the mean level of CRP in the patients was (73.72±17.05) and in the the controls was (8.71±1.12), while the mean level of H. influenza IgG in the patients was (1.05±0.23) and in the control group was (0.3±0.02), whereas the mean level of SARS COV-2 IgG was (7.00±2.15) in the patients andwas (0.35 ±0.19) in the controls with a highly significant differences (HS).The number and percentage of patients with positive SARS COV-2 and H. influenza IgG was 38(95.0%) who had high levels of GOT up to 65 U/L, while 2(50%) of those patients had GOT >65 U/L, while the Negative infections with SARS COV-2 IgG, H. influenza IgG 17(85.0%) had up 65 U/L and 3(15.0 %) had>65 U/L level (P =0.03).In addition, high levels of GPT, Alkaline phosphates, urea and creatinine were recorded among patients groups when compared with the healthy controls.
Keywords
H. Influenza Infection; Mutation; SARS COV-2; Tor2 gene
Download this article as:Copy the following to cite this article: Dhumad B. Q, Jaber S. I. Mutation Occurrence in Tor2 Gene in Patients with SARS COV-2 in Association with H. Influenza Infection. Biomed Pharmacol J 2022;15(1). |
Copy the following to cite this URL: Dhumad B. Q, Jaber S. I. Mutation Occurrence in Tor2 Gene in Patients with SARS COV-2 in Association with H. Influenza Infection. Biomed Pharmacol J 2022;15(1). Available from: https://bit.ly/3ighaYU |
Introduction
There have been a great demand toSARSCOV-2 tests in the year 2020 in hospitals, health institutions and laboratories around the world, and they have announced their concerns about the lack of materials and laboratory tests for the Corona virus, as personal protective equipment were limited, and the speed of detection, as well as contacts, are central to curbing the epidemic spread 1.Since the appearance of clinical trial results, mass vaccination campaigns to prevent new SARS-CoV-2 infections have been initiated in the countries which can provide adequate vaccine doses. Vaccination campaigns are essential tools, and random clinical tests can identify the population to be vaccinated accurately as they control the logistics, which may not be what is expected to be implemented in health care practice 2.Out of the seven coronaviruses, four most frequently cause symptoms of the common cold. Coronaviruses 229E, OC43, NL63, and HKU1 cause about 15 to 30% of cases of common colds. The severe lower respiratory tract infection, such as pneumonia and bronchiolitis can rarely happen, particularly among infants, old-aged and immunocompromised individuals 3. The signs and symptoms of coronavirus infection (COVID-19) may develop 2 to 14 days following exposure. The time after exposure and before symptom appearance is known as the incubation period. Patients can still spread COVID-19 before having symptoms (pre-symptomatic transmission). Common signs and symptoms may include cough, fever and tiredness 4.SARS 2 and seasonal influenza pathogens share respiratory diseases with the approach of the winter season in the northern hemisphere. They are more common because of the cold winter, and they work side by side in seasonal infections, as well as Haemophilusinfluenzae bacteria is common with SARS 2 5. There is a competition between the coronavirus and respiratory viruses, including influenza, and this interference occurs due to immunity, and it suppresses most of the viruses and activates other viruses, a phenomenon that has been recognized for many decades 6.Some strains of H influenzae don’t have capsules and are termed non-encapsulated H influenzae or non-typeable H influenzae (NTHi). Haemophilusinfluenzae colonization within the respiratory tract, especially the upper respiratory tract, is a risk factor, and this is what compelled doing tests for pharyngeal influenza among healthy populations, and has a potential impact on public health strategy 7.It is possible to transplant blood or CSF as transplant joint and bone fluid and pericardial fluid and explore standard methods of treatment of Haemophilus influenza if treatment is delayed, and Ocular should be kept at minus 4 to detect cerebrospinal fluid DNA and blood and urine test to detect antigens 8.
Material and Methods
In the current study, a total of (60) blood samples were taken from patients infected with SARS COV-2 shared with H. Influenza infection who attended Ibn-Al-Baladi Hospital/Baghdad city during the period from 15th January to 1st December 2021.The anti- SARSCOV-2 IgM antibodies were investigated to detect the acute infection, while anti- SARSCOV-2 IgG antibodies were measured to detect the chronic infection and the healed patients, by using Vides technique. Sandwich ELISA (or sandwich immunoassay) which is the most commonly used ELISA method to detect H. Influenza. This format needs two antibody/antigen specific for different epitopes of the antigens/antibodies. The two antibodies/antigens are usually referred to as matched antibody/antigen pairs. Gene sequences were made by using specific primers and were run by a sequencer device. PRIMER PICKING RESULTS FOR NC_004718.3:25268-26092 SARS coronavirus Tor2, complete genome.
LEFT PRIMER GGGCTTCCAGTTCATTTGCA
RIGHT PRIMER TGCACTTCCAACAAAGCCAA
Statistical analysis
The statistical analysis was done by the SPSS-20 software program, including t-test and the (P<0.05) value was considered statistically significant.
Results
The distribution of the SARS COV-2 IgG and H. influenza IgG was illustrated in table (1). The male rate was twice44 (73.3%) more than females according to gender , with a significant difference(P<0.05).
Table 1: Prevalence of SARS COV-2 IgG and H. influenza IgG according to gender
Gender | Studied group | |
No. of patients | No. of controls | |
Male | 44 | 30 |
73.3% | 50% | |
Female | 16 | 30 |
26.7% | 50% | |
Total | 60 | 60 |
100.0% | 100.0% | |
P-value | P<0.05 (S) |
The prevalence of SARS COV-2 IgG and H. influenza IgG was shown to be the highest among the age group (>51) years 17(28.3%), followed by the age group (21-30) years 14(23.3%) with no significant difference as shown in table 2.
Table 2: Prevalence of the SARS COV-2 IgG and influenza IgG according the age groups
Age / Years | Study group |
Patient | |
>10 | 10 |
16.7% | |
10-20 | 11 |
18.3% | |
21-30 | 14 |
23.3% | |
31-40 | 8 |
13.4% | |
41-50 | 10 |
16.7% | |
>51 | 17 |
28.3% | |
P-value | 0.2 (NS) |
Table (3) showed that the cases of SARS COV-2and H. influenza infections among the studied patients according to residency were shown to be almost equal among rural and urban residents 30,30 (49.2%,50.8%) respectively with no statistical significan difference (P= 0.04).
Table 3: Distribution of study group according to residency status
Residency status |
Study group | Total | |||
Patients |
Controls |
||||
Rural | N | 30 | 31 | 61 | |
% | 49.2% | 50.8% | 100.0% | ||
Urban | N | 30 | 29 |
59 |
|
% | 50.8% | 49.2% | 100.0% | ||
Total | N | 60 | 60 | 120 | |
% | 100.0% | 100.0% | 100.0% | ||
Chi-square | 0.04 | ||||
P-value |
0.81 |
Regarding the relationship between SARS COV-2 IgG and H. influenza IgG and CRP levels, the mean level of CRP in the patients was (73.72±17.05) and in the the controls was (8.71±1.12), while the mean level of H. influenza IgG in the patients was (1.05±0.23) and in the control group was (0.3±0.02), whereas the mean level of SARS COV-2 IgG was (7.00±2.15) in the patients and was (0.35 ±0.19) in the controls with a highly significant differences (P=0.001).
Table 4: Relationship of SARS COV-2 Ig Gand H. influenza IgG and CRP levels compared to the healthy controls
Parameters | Group | N | Mean | t-test | P-value |
CRP
|
Patient | 60 | 73.72±17.05 | 8.73 | 0.001 |
Control | 60 | 8.71±1.12 | |||
H.influenza IgG | Patient | 60 | 1.05±0.23 | 5.53 | 0.001 |
Control | 60 | 0.3±0.02 | |||
SARS COV-2 IgG
|
Patient | 60 | 7.00±2.15 | 6.44 | 0.001 |
The number and percentage of patients with positive SARS COV-2 and H. influenza IgG was 38(95.0%) who had high levels of GOT up to 65 U/L, while 2(50%) of those patients had GPT >65 U/L, while the Negative infections with SARS COV-2 IgG, H. influenza IgG 17(85.0%) had up 65 U/L and 3(15.0 %) had >65 U/L level (P =0.03) as shown in table (5).
Table 5: Relationship between SARS COV-2 IgG, H. influenza IgG and GPT
SARS COV-2 and H.influenza IgGcategorical |
GPT levels | Total | ||
Up65 | >65 | |||
Positive | N | 38 | 2 | 40 |
% | 95.0% | 5.0% | 100.0% | |
Negative | N | 15 | 5 | 20 |
% | 75.0% | 25.0% | 100.0% | |
Total | N | 53 | 7 | 60 |
% | 88.3% | 11.7% |
100.0% |
P-value =0.03
Relationship between SARS COV-2 IgG, H. influenza IgG were explained in table (6). The number and percentage of positive patients 38(95.0%) and high level of GOT to up to 65 U/L, while 2(50%)was detected in patients with>65 U/L, where as the number and percentage of negative infections with SARS COV-2 IgG, H. influenza IgG was 17(85.0%) in those with GOT up to 65 U/L and 3(15.0 %) were in those with>65 U/L, (P =0.03).
Table 6: Relationship between SARS COV-2 IgG, H. influenza IgG and GOT levels
SARS COV-2 IgG and H.influenza IgG categorical |
GOT levels | Total | ||
Up to 50 | >50 | |||
Positive | N | 38 | 2 | 40 |
% | 95.0% | 5.0% | 100.0% | |
Negative | N | 17 | 3 | 20 |
% | 85.0% | 15.0% | 100.0% | |
Total | N | 55 | 5 | 60 |
% | 91.7% | 8.3% |
100.0% |
P-value= 0.3
Relationship between SARS COV-2 IgG, H. influenza IgG was shown in table (7).The positive patients 21(55.3%) with high level of ALP among those with up to 360 U/L and 17(44.7%) were among those with >360 U/L, while the number and percentage of negative infections with SARS COV-2 IgG, H. influenza IgG was 2(10.0%) among those with ALP up 360 U/L and 18(90.0 %) was among those with>360 U/L (P =0.01).
Table 7: Relationship between Covid-19 IgG, H. influenza IgG and ALP levels
Covid-19 IgG and H. influenza IgG categorical |
ALP levels | Total | ||
UP to 360 |
>360 |
|||
Positive | N | 21 | 17 | 38 |
% | 55.3% | 44.7% | 100.0% | |
Negative | N | 2 | 18 | 20 |
% | 10.0% | 90.0% | 100.0% | |
Total | N | 23 | 35 | 58 |
% | 39.7% | 60.3% |
100.0% |
P-value=0.001
Relationship between SARS COV-2 IgG, H. influenza IgG was demonstrated in table (8). The positive patients 16(40.0%) and high level with Urea up 45 mg/dl and 24(60.0%) was among those with>45 mg/dl, while the negative infections with SARS COV-2 IgG, H. influenza IgG 2(10.0%) were up 45 m/dl and 18(90.0 %) were among >360 U/L, P =0.01.
Table 8: Relationship between SARS COV-2 IgG, H. influenza IgG and Urea levels
SARS COV-2 IgG, H.influenzaIgG categorical |
Urea levels | Total | ||
Up to 45 | >45 | |||
Positive | N | 16 | 24 | 40 |
% | 40.0% | 60.0% | 100.0% | |
Negative | N | 2 | 18 | 20 |
% | 10.0% | 90.0% | 100.0% | |
Total | N | 18 | 42 | 60 |
% | 30.0% | 70.0% |
100.0% |
P-value=0.01
Relationship between SARS COV-2 IgG, H. influenza IgG was shown in table (9).The positive patients 14(35.0%) and high level of creatinine in those with up to 1.3 mg/dl and 26(65.0%) was among those with>1.3 mg/dl, while the negative infections with SARS COV-2 IgG, H. influenza IgG 2(10.0%) was among those with up to 1.3 m/dl and 18(90.0 %) was among those with >1.3 U/L (P =0.01).
Table 9: Relationship between SARS COV-2 IgG, H. influenza IgG and creatinine levels
SARS COV-2 IgG, H. influenza IgG categorial |
Creatinine levels |
Total |
||
Up to1.3 | >1.3 | |||
Positive | N | 14 | 26 | 40 |
% | 35.0% | 65.0% | 100.0% | |
Negative | N | 2 | 18 | 20 |
% | 10.0% | 90.0% | 100.0% | |
Total | N | 16 | 44 | 60 |
% | 26.7% | 73.3% | 100.0% |
P-value= 0.06
In the genetic sequence of the SARS COV-2, the Tor2genetic mutations were found in several positions of gene sequences. Lane (1) reference gen, the change occurrence in Lane 2, T G, G A, T G, G A, A G, G A, A G,T>A, A C, A C, C A, A T, T A, A T, T A, Lane 4: A T, T A, C G, A T, T C, G T, C A and G A as shown in figure(2).
Discussion
Corona virus and Haemophilusinfluenzae may share serious respiratory infections. The distribution of the SARS COV-2 IgG and H. influenza IgG illustrated in table 1 showing that the male was twice more than females according to gender. Based on what was stated by(Renard, N.et al, 2021), the spread of SARS 2 infection is more in men than in women, and since there is an accompanying Haemophilusinfluenzae as well as a compound infection, it has been confirmed that males are more susceptible to these infections, and the reason may be attributed to the fact that men are in more contact with those injuries related to the job or workplace 9. Prevalence of SARS COV-2 IgG and H. influenza IgG according to age groups showed that the age group(>51)contained the most of infections. Mack, D.et al., (2021) in his report stated that the injuries of the oldest ages were very prevalent, followed by the ages of their thirties, forties and twenties. This spread is attributed to the physiological conditions of the old ages, especially when there is weak immunity, as well as these ages are more susceptible to diabetes, stress and heart diseases 10. The equal cases of SARS COV-2and H. influenza infections among studied patients according to residency between rurals and urbans, and this result agreed with (Huang , Q.et al, 2021) who reported that the incidence of infections in rural areas is more than in urban areas, and it may be a lack of health awareness in Iraq and the non-existent health care roles, especially in remote areas of Baghdad and provincial centers 11. There is an increase in CRP levels with SARS 2 infections in association with Haemophilusinfluenza. Potempa, A. et al, (2021) confirmed that there is a very noticeable increase in the levels of CRP, a protein D, that causes damage to the bodies of the infected, which in turn increases in these infected people, and since there is a joint infection with Haemophilusinfluenzae, there may be a double increase in this protein 12. Elevation of GPT, GOT, Alkaline phosphatase, urea and creatinine levels than their normal levels in cases associated with infection with SARS-CoV-2 is evident of damage to the liver and kidneys. McGrowder, D. A.et al, (2021), in their study stated that there are abnormal levels of liver and kidney functions because infection with this virus invades most of the body’s organs, including the liver and kidneys, and thereby, we observed the high level of CRP as an evidence of damage to those organs 13. In the genetic sequence of the SARS COV-2, Tor2genetic mutations were found in several positions of gene sequence. Chan, A. P.et al, (2020) demonstrated genetic mutation of 10 sites in the genetic chain of the SARS-CoV-2 virus, and these mutations provide the virus with more virulence when it invades human body parts and causes damage to those organs 14. Also these findings are consistent with (So-and-so) who proved that there is mutagenesis in several locations on the gene sequence of the gene Bat-CoV RaTG13 15.
Acknowledgment
None
Conflict of interest
Authors declare no conflict of interest.
Funding sources
There is no funding source.
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