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Ramadhan R. S. Prognosis of an Inherited Beta Globin Deficiency in Sickle Cell Anemic Iraqi Population. Biosci Biotech Res Asia 2020;17(2).
Manuscript received on : 02-03-2020
Manuscript accepted on : 19-06-2020
Published online on:  24-06-2020

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Reviewed by: Prabin Shrestha

Second Review by: Muhammad Naoshad

Final Approval by: Prof. Dr. rer. Nat. Hesham Ali El-Enshasy orcid_16x16 publons

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Prognosis of an Inherited Beta Globin Deficiency in Sickle Cell Anemic Iraqi Population

Rehab S. Ramadhanpublons  

Al- Esraa University College, Baghdad, Iraq

Corresponding Author E-mail : rehabrebah2004@yahoo.com

DOI : http://dx.doi.org/10.13005/bbra/2845

ABSTRACT: Samples of 500 patients suffering from Sickle Cell Disease (SCD) were collected from Ibn Al-Baladi hospital and subjected for blood analysis. Most patients showed an elevated level of HbF, HbA2, iron and eosinophels. Two primers were designed to amplify two regions of β-globin gene, the first targeting the site from which gene expression begins, and the other is targeting the coding region Dgn83. Results showed the presence of a common pathogenic mutation of Arab countries at HBB, LOC107133510, LOC110006319 with phenotype MIM 603903, while changes were detected at Dgn83 with not attribution to SCD. It is concluded that such mutation is the main cause of SCD in Arab countries with specific phenotype that differ from other countries around the world.

KEYWORDS: Blood Disorder; Beta Globin; Mutation; SCD

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Introduction

Sickle cell disease (SCD) is a progeny transferred blood illness that influence the function of red blood cells. People with this disease produce an altered form of Hb called HbS. Sickle cell conditions are transferred from parental line in the same way as blood typing. Sickle cell disease manifests due to a unique nucleotide change in the Beta-globin gene, which is, a replacement of glutamic acid with valine at position 6 of the beta chain (Imoru et al., 2011). Altered forms of beta-globin will deform red blood cells into a sickle form that die quickly, leading to anemia (Christyand Benjamin, 2001). The non heterozygous HbS is designated as sickle cell anaemia (SCA) is considered as the widely dominant form of SCD, the rate is variable regarding the country where it is detected (Imoru et al., 2011 ; Ansong et al., 2013). The next predominant occurrence of SCD is the synergistic trait of HbS and HbC referred to as HbSC, which mostly found in West of Africa (Piel et al., 2017). SCD is resembled by protean indicators ranging from acute generalized pain to early onset stroke, leg ulcers and the risk of early deaths from organ failure. As a an outcome of the effect of HbF, clinical symptoms do not begin until the median to 2nd part of the first year after birth when this has predominantly become to adult haemoglobin (Akinsheye et al., 2011). People with SCD are more susceptible to severe infections, especially from certain types of bacteria, causing pneumonia, meningitis, septicaemia or bone infections. . Children with SCD have a high ratio of getting severe, life-threatening infections (Tubman and Makani 2017). Haemoglobin electrophoresis can be used as screening method that can identify the phenotype of SCA but is not a reliable method for the determination of genotype in infants less than 6 months because of high levels of  fetal haemoglobin (haemoglobin F) that circulating from birth which is the predominant haemoglobin at this age (Emuejevoke et al., 2018). Plenty of work has been associated with the search for genetic influence comes from beta gene cluster region that might alter globin gene expression and, thus, reveals the clinical diversity of sickle cell disease (SCD). Beta gene sequence altration has presented independently in countries of the world with different genetic backgrounds. Beta genes are found in unbalance with at least five different defined haplotypes in the Beta-globin gene cluster (Praneeta et al., 2015; Hira et al., 2016). Distribution of these haplotypes is determined geographically, specificity and high homogeneousity in each region (Liang et al., 2014).

Ethnic DNA might control the expression of the beta globin gene and consequently play a role in the determined variations of the phenotypic expression of SCD (Akinsheye et al., 2011).

Gene therapy as early studies may be a possible treatment for sickle cell anaemia. The technique is based on stem cells and gene therapy; instead of using embryonic stem cells. The aim is to transform a patient’s blood cells into pluripotent stem cells and replace the defective portion of the gene (Ribeil et al., 2017).

A number of new sickle cell therapeutic methods are on the horizon; the promise of combination therapy is no longer a far-fetched aspiration. It is therefore timely to commission such a review on newborn sickle cell screening not just for European countries which of course face the migration challenge, but also other countries (Inusa et al., 2018).

Materials and Methods

Patients and Sampling

Total 500 blood samples were collected patients from suffering Sickle cell anemia (SCA) from March 2018 to October 2018, at Ibn Al- Baladi Hospital  (Baghdad) with (100)  blood samples served as control group. The ages of patients and control group  (Healthy) were 10–40 years.

Hematological Analysis 

Complete blood count was carried out using a counter model (Apex Bio Medicals, Germany). Sickle cell hemoglobin was quantitated after elution from a microcolumn of diethylamineethyl cellulose (DE 52) resin as described earlier (Habibzadeh et al., 1999). Fetal hemoglobin quantitation was performed by alkaline denaturation procedure (Betke et al., 1959).

DNA Extraction

DNA was obtained from blood samples using the Reliaprep genomic DNA MiniPrep System from Geneaid /Korea according to company instructions, concatenation and purity of the extracted DNA was measured using nanodrop (Techne /UK).

Primers used for DNA Amplification

Beta- globin exons were amplified using the following primers designed in this study table (1).

PCR Amplification Protocols

The DNA extraction from patients and control blood was amplified by polymerase chain reaction (PCR)  using (specific primers) designed specifically to target Beta- Globin gene at specific locations using the following program: Iinitial  denaturation  at  (950C)  for  (5)  minutes,  with (35)  cycles  of  Denaturation  at ( 940C)  for  (30) seconds, Annealing as given  in Table  (1)  for  (30) seconds ,  Extension  at  (720C)  for (30) seconds, followed by Final Extension at  (720C)  for  (7)  minutes.

Table 1: Sequences of primers used in the procedures of the present study with PCR product size. Each one was given the optimum Annealing  Temperature

Primer  name sequences  3———-5 product  size  bp annealing  temperature °C
BG 1 F: GGACCTCTGTCTCTCTCGCT 296 57
R: GGGACAAGGCTGCAAGCTAT
BG 2 F:TGAGAGCTGCTGAGTTGTGTT 435 55
R: TGTGAATGGATGCCACAGCA

 DNA Sequencing

Amplicon from PCR amplification of Beta- Globin gene regions were sent for sequencing by Macrogen Company / Korea. The sequences of these samples (patients and control) were analyzed using available software on (NCBI)  National Center for Biotechnology Information like BLAST of SNPs using available data.

Results

Blood test results were obtained by measuring PCV, Hb, RBC, MCV, MCH and reticulocytes count which are listed in table (2) in comparison with normal values and healthy.

The results show that the MCV and MCH values are reduced in comparison with normal range and control (healthy) since they resemble the ratio between RBCs with PCV and RBCs with Hb respectively that gave clear indication for the presence of hemolysis in RBCs as a result of the disease.

Table 2: Red blood cells indices in SCA patients and their healthy

No. Red Blood Index Normal Range Control (healthy) Patients
1- Packed cell volume (PCV) F: 38 – 45 % 43% 25%
M: 40 – 58 %
2- Hemoglobin (Hb) F: 12 – 16 g/dl 15 g/dl 11.7 g/dl
M: 14 – 18 g/dl
3- Red blood cells count (RBCs) F: 3.8 – 5.8 x1012 4.5 x 1012 5.8 x 1012/l
M: 3.8 – 5.8 x1012
4- Mean corpuscular volume (MCV) 82 – 100 fl 95 fl 47.3 fl
5- Mean corpuscular hemoglobin (MCH) 27.5 – 33.2 pg 32 pg 27 pg
6- Reticulocytes 0.2 – 2 % 0.4 5%

Blood leukocytes in SCA patients blood were investigated for their ratio and abnormality. Results obtained are listed in table (3) showing an increased level in WBCs as a result of continuous blood transfusion.

Table 3: Leukocyte percentage in SCA patients and their healthy

No. WBC Normal Range Control (healthy) Patient
1. WBC count 4 – 11 x106 /L 9 x 106/L 17 x106/L
2. Neutrophile 40 – 75 % 65 % 67 %
3. Lymphocyte 20 – 45 % 35 % 20 %
4. Monocyte 2 – 10 % 2 % 3 %
5. Eosinophiles 1 – 6 % 2 % 10 %
6. Basophiles < 1%
7. Platelet count 150 – 400 x 109/L 250 x 109/L 304 x 109 /L

The same result was found when HbF was studied, since the elevated levels were found due to high production of α2 γ2 subunits which, are the main components in the HbF architecture.

Making use of standard measurements in hematologic analysis of patients blood, the type of SCD can be identified either to be homozygous or heterozygous by observing the presence or absence of β – chain in blood samples, level of HbS, HbA, HbA2, and HbF in regard to standard values of these hemoglobins level in healthy people. Table (4) shows the mean percentage of hemoglobin in healthy and patients that were investigated for hemoglobin abnormality. It was concluded that HbF, and HbA2 levels were increased as compared with the normal levels in the healthy, and patient due to the hyper – production of α2 γ2 (the subunits of HbF) and α2 δ2 (the subunits in HbA2) to cope with body demands of oxygen and nutrients as the body grows which cannot be afforded by the low level of HbA in blood. Hence, patients with SCD can be diagnosed by testing HbS, HbA, HbF, and HbA2 levels in blood.

Table 4: Percentage of hemoglobin types obtained from blood analysis SCA patients and their healthy

No. Hemoglobin types Normal Range% Control (healthy) Patients
1- HbS 0 0 15
2- HbF 0.5 – 1.5 1 16
3- HbA2 1.8 – 3.5 2.5 7
4- HbA 96 – 98 96.5 90

In this study two specific primers were used to detect β – globin (BG) gene in patients and healthy. These primers are BG1, and BG2 that are complementary to a defined region in the β – globin gene. Results of PCR amplification and electrophoresis of product are shown in figure (1).

Figure 1: PCR analysis of β – globin gene using BG1 and BG2 primers. Lane (1) DNA marker (100 bp). Figure 1: PCR analysis of β – globin gene using BG1 and BG2 primers. Lane (1) DNA marker (100 bp).

Click here to View Figure

The DNA sequencing of the BG gene was taken from blood samples of patients and was compared using the NCBI nucleotide blast as shown in figure (2).

Figure 2: The automated sequencing of BG gene in SCA patients. Figure 2: The automated sequencing of BG gene in SCA patients.

Click here to View Figure

The region flanking the Hemoglobin Subunit Beta Gene (HBBG) resembles multiple sequences that can function as origins of DNA replication. The both endogenously and in ectopic contexts. These origins  replicate at the end in  many cell types but  early in cells that produce hemoglobin,  meaning that replication  starts in this region  may rely on activity of the globin locus control region (LCR). Pathogenic change in DNA sequence at this region may leads to production of abnormal HBB and producing HBS form which SCD to appear. Using primer 1 that was used to amplify this region, we were able to identify a pathogenic mutation similar to that was reported for Arab region SCD as given below.

Variation type and location Associated gene Protein change Condition Clinical significance
NM_000518.4(HBB):c.364G>A (p.Glu122Lys)

GRCh37:

Chr11:5246908

GRCh38:

Chr11:5225678

HBB, LOC107133510, LOC110006319 E121K, E122K Sickle cell-Hemoglobin O Arab disease, Hb SS disease, beta Thalassemia,
HEMOGLOBIN O (ARAB), HEMOGLOBIN EGYPT, not provided
Pathogenic

Furthermore, the phenotype-gene Relationships was identify as given in the following details.

Location Phenotype Phenotype
MIM number
Inheritance Phenotype
mapping key
Gene/Locus Gene/Locus
MIM number
11p15.4 Sickle cell anemia 603903 AR 3 HBB 141900

Dgn83 Coding Region

Primer 2 that was designed to amplify Dgn83 region showed that it has  the location of (CACA) motif, at sites  −1927,  −835,  −598, and −543 which is then detected in three Hb A chromosomes. However, Dgn 83 HbC has an intervening polymorphisms that are identical to Hb A chromosomes.

Discussion

Blood disorder (SCD) is a public health threatening disease that influenced millions of people through the many countries. There is an increased value in reticulocytes as a result of continuous blood transfusion and iron precipitation due blood hemolysis in specific body parts like spleen and liver. There is an increase in eosinophiles as a result elevated iron levels. Blood transfusion will make the body more sensitive and adopt more production of eosinophiles. Thus, in many cases the blood should be filtered before it is transfused to patients (Ahmed et al., 2017). There was an elevated level in HbF and HbA2 which may be explained as an outcome of the increased requirements of the body for oxygen and nutrient demands which are not fully satisfied by the main hemoglobin (HbA) due to the reduction in β – chain formation and / or the truncation or deformation in this protein that results in HbA malfunction. SCD is one of the most serious of the red blood cell diseases, and is caused by a abnormal haemoglobin known as HbS (Ashley-Koch et al., 2000). While normal red blood cells can survive for up to 120 days, sickle cells diminish in just 20 days.  The diagnosis of sickle cell anemia relies on the electrophoresis of hemoglobins in hemolysates prepared from the peripheral blood. However, several relatively hemoglobin variants have an electrophoretic mobility identical to that of Hb S on cellulose acetate. Although the diagnosis of SCD is straightforward, that of Hb Sb thalassemia may sometimes be problematic. In Hb Sbþ thalassemia, there is a preponderance of Hb S with Hb A comprising 5–30 per cent of the total. Hb Sb0 thalassemia produces an electrophoretic pattern that is visually indistinguishable from that of sickle cell anemia, but a diagnosis can often be made by the presence of an elevated Hb A2 level and a decreased MCV. However, detailed family history and DNA-based studies may be necessary to make this distinction (Winfred and John, 1999). Genetically, it is a disease is caused by replacement of an A-to-T point mutation in the β-globin gene producing altered hemoglobin S (Hb S), which depletes in the deoxygenated state, thus, causing physical and functional change of erythrocytes. It was described clinically as an inherited blood disorder because of mutations in the beta globin gene, most commonly known as SNP rs334. It is found mostly in African and related populations (Shriner and Rotimi, 2018). SCD results from a nucleotide substitution of adenine A to thymine T in the sixth codon of beta-globin. The mutation of a single base in the DNA leads to the replacement of glutamic acid with valine in the polypeptide of the beta-globin chain in the haemoglobin S (HbS). SCD is resembled by chronic haemolysis, recurrent vasoconstriction, rapid infection, organs failure in the body, a periodic pain, abnormal hemoglobin in red blood cells, causing them to turn into the form of solid sickles (Lionne et al., 2012).  Chronic haemolysis can lead to different degrees of anaemia, jaundice, biliary tuberculosis, delayed growth and sexual maturity. Patients are also sensitive for the highest rates of pulmonary arterial haemorrhage, hypertension, rheumatism and leg ulcers (Abbas et al., 2013).

Despite sickle cell disease (SCD) is considered as homogenic, but its clinical effect is highly heterogeneous. Plenty of the affecting conditions are genetically affected while others are result of environmental factors that come from the region. Considerable number of SCD patients in the Arabian region has the Arab/India haplotype and are represented by elevated Hb F levels which is the first sign of blood disorders (Praneeta et al., 2015). Haemoglobin electrophoresis is a useful diagnosis method that can determine the phenotype of  SCA but is not a reliable for the determination of  genotype in infants less than 6 months as a result of high levels of  fetal haemoglobin (haemoglobin F) that persists from birth which is predominant haemoglobin at this age (Akanni et al., 2013).There is tight and specific relation of Hb F levels and several SNPs in the  HBS1L region located on chromosome 6q23 (HBFQTL2; 142470).  The relationship of different SNPs in this region were none related to one another, but summation could count for 5% of variance in Hb F levels (Maryam et al., 2020).

Conclusions

Sickle Cell disease is a lethal disease that is common in Arab countries if the patient is not subjected to treatment. Blood tests show instantly an elevated levels of HbF and HbA2. Most of patients are treated with blood transfusion which eventually will elevate iron level and WBCs count. The main cause of this disease is a pathogenic mutation lies within non coding region of β-globin gene. This mutation is similar to that found in other Arabian countries like Egypt with gene MIM number 141900.

Acknowledgment

I would sincerely thank Prof.Dr. Rebah N. Algafari for his help and consultant during this work.

Funding Sources

This work was conducted without any financial support from any related organization.

Conflict of Interest

This work bears no conflict of interest with any organization or research group.

References

  1. Abbas, H.A.; Kahale, M. and Aboul, Hosn M.(2013). Pediatric sickle cell disease. Pediat. Ann. 42:3.
  2. Ahmed, A.E.; Ali, Y.Z.; Al-Suliman, A.M.; Albagshi, J.M.; Al Salamah, M.; Elsayid, M.; Alanazi, W.R.; Ahmed, R.A.;  McClish, D.K. and Al-Jahdali, H.(2017). The prevalence of abnormal leukocyte count, and its predisposing factors, in patients with sickle cell disease in Saudi Arabia. J. Blood Med. 8: 185–191.
  3. Akanni, EO.; Alli, OAT. and Mabayoje VO. (2013). Molecular diagnosis of hemoglobinopathies using allele-specific polymerase chain reaction in Nigeria. Am. J. Biotechnol. Mol. Sci. 3(1): 24-28 15.
  4. Akinsheye, I.; Alsultan, A.;  Solovie, N.;  Ngo, D.;  Baldwin, C.T.;  Sebastiani, P.;  Chui, D.H. and  Steinberg, M.H.( 2011).  Fetal  Hemoglobin in Sickle Cell Anemia.  Blood, 118: 19–27.
  5. Ansong, D.; Akoto, A.O.; Ocloo, D.; Ohene-frempong, K. (2013). Sickle Cell Disease  (SCD) Management Options and Challenges in Developing Countries. Mediterr. J. Hematol. Infect. Dis.  5: 62.
  6. Ashley-Koch, A.; Yang, Q. and Olney, R.S.(2000). Sickle Hemoglobin (Hb S) allele and
  7. Betke, K.; Marti, HR. and Schlicht, I.(1959). Estimation of small percentages of fetal HB. Nature . 184: 1877–78.
  8. Christy, M. and Benjamin, D. (2001). Single tube  genotyping of sickle cell anemia (SCD)  using PCR-  based SNP    Nucleic  Acid  Research. 29(23): 2-8.
  9. Daniel Shriner and Charles Rotimi (2018).   Whole Genome  Sequence  Based Haplotypes Reveal Single Origin of the Sickle Allele during the Holocene Wet Phase.   AjHG, 102 : 547-556.
  10. Emuejevoke, T.; Guido van Marle ; Wendy Hutchins ; Olayinka Abgabiaje and Joy Okpuzor (2018). Single tube allele specific PCR: a low cost technique for molecular screening of sickle cell anaemia in Nigeria. African Health Sciences .18  (4): 995-1002.
  11. Habibzadeh, F.; Yadollahie, M.; Ayatollahie, M. and Haghshenas, M.(1999). The prevalence of sickle cell syndrome in south of Iran. Iran J Med Sci 1999; 24: 32–4. Haymann, J.P.(2012). Hemoglobin sickle cell disease complications: a clinical
  12. Hira, M.; Rubab, Z.; Ammara, M.; Muhammad, W.; Shahid, R. (2016). In silico mutation analysis of human beta globin gene in sickle cell disease patients. International Journal of Research in Medical Sciences. 4 (5): 1673 – 1677.
  13. Imoru, M.; Kabiru ,S.; Shehu ,A. and Umar, A. (2011). Hematological values in Nigerian children with  steady state homozygous sickle cell disease.  International Journal of Academic Research. 3 (1) :501-506.
  14. Inusa, B.P.; Anie, K.A.; Lamont, A.; Dogara, L.G.; Ojo, B.; Ijei, I.; Atoyebi, W.; Gwani, L.; Gani, E.; Hsu, L. Utilising the ‘Getting to Outcomes ® ’ Framework in Community Engagement for Development and Implementation of Sickle Cell Disease Newborn Screening in Kaduna State, Nigeria. Int. J. Neonatal Screen. 2018, 4: 33.
  15. Liang, Y.; Min, L.; Jiangtao, C.; Xiao, Z. and Shang,Z. (2014).   Rapid screening for sickle cell disease by polymerase chain reaction PCR-high resolution melting analysis. Molecular   Medicine     9 : 2479- 2484.
  16. Lionne, F.; Hammoud, N.; Stojanovic, K.S.; Avellino, V.; Grateau, G.; Girot, R. and
  17. Maryam Ayatollahi; Maryam Zakerinia and Mansour Haghshenas (2020). Molecular Analysis of Iranian Families with Sickle Cell Disease Journal of Tropical Pediatrics
  18. Piel, F.B.; Steinberg, M.H. and Rees, D.C. (2017). Sickle Cell Disease (SCD). N. Engl. J. Med.  376: 1561–1573.
  19. Praneeta, J.; Singh ,A.; Shrivastava , A. and  Shrikhande, V. (2015).   Prenatal Diagnosis of Sickle Cell Disease by the Technique of PCR.  Indian J.  Blood  Transfus.  31 (2) : 233–241.
  20. Ribeil, J.A.; Hacein-Bey-Abina, S.; Payen, E.; Magnani, A.; Semeraro, M.; Magrin, E.; Caccavelli, L.; Neven, B.; Bourget, P.; El Nemer, W.; et al.(2017). Gene therapy in a patient with sickle cell disease. N. Engl. J. Med. 376: 848–855.
  21. Tubman, V.N. and Makani, J. (2017). Exploring splenomegaly in sickle cell disease in malaria-endemic regions. Br. J. Haematol. 177: 938–946. Vol. 51(3) : 136-140.
  22. Winfred, C.W. and John, N.L.(1999). Sickle cell anemia and other sickling syndromes. In: Lee GR, Foerster J, Lukens J (eds), Wintrobe’s Clinical Hematology, 10th Williams & Wilkins, Baltimore, 1346–97.
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