Blood Res 2020; 55(4):
Published online December 31, 2020
https://doi.org/10.5045/br.2020.2020009
© The Korean Society of Hematology
Correspondence to : Anil Kumar Tripathi, M.D.
Department of Clinical Hematology, King George’s Medical University, Shamina Road, Lucknow 226003, India
E-mail: aktkgmu@gmail.com
Background
Aplastic anemia (AA), an unusual hematological disease, is characterized by hypoplasia of the bone marrow and failure to form blood cells of all three lineages resulting in pancytopenia. This study aimed to investigate
Methods
Two hundred and forty individuals were included in this study; the case group comprised 120 AA patients, while 120 healthy individuals served as controls. Genotyping was performed using the PCR-restriction length fragment polymorphism method and
Results
There was a significantly higher prevalence of the
Conclusion
Our findings suggest that the
Keywords Aplastic anemia,
Blood Res 2020; 55(4): 193-199
Published online December 31, 2020 https://doi.org/10.5045/br.2020.2020009
Copyright © The Korean Society of Hematology.
Saurabh Shukla, Anil Kumar Tripathi, Shailendra Prasad Verma, Nidhi Awasthi
Department of Clinical Hematology, King George’s Medical University, Lucknow, India
Correspondence to:Anil Kumar Tripathi, M.D.
Department of Clinical Hematology, King George’s Medical University, Shamina Road, Lucknow 226003, India
E-mail: aktkgmu@gmail.com
Background
Aplastic anemia (AA), an unusual hematological disease, is characterized by hypoplasia of the bone marrow and failure to form blood cells of all three lineages resulting in pancytopenia. This study aimed to investigate
Methods
Two hundred and forty individuals were included in this study; the case group comprised 120 AA patients, while 120 healthy individuals served as controls. Genotyping was performed using the PCR-restriction length fragment polymorphism method and
Results
There was a significantly higher prevalence of the
Conclusion
Our findings suggest that the
Keywords: Aplastic anemia,
Table 1 . Genotyping information of
Gene SNP name | Primer sequence (5′–3′) | Restriction enzyme | Recognition sequence | Wild type fragment length | Variant (mutant) type fragment length | Heterozygous type fragment length |
---|---|---|---|---|---|---|
F:5′-AGGCAATAGGTTTTGAGGGCCAT-3′ | NCo1 | 5′-C|CATGG-3′ | 107 bp (GG) | 87 bp and 20 bp (AA) | 107 bp, 87 bp, and 20 bp (GA) | |
R:5′-TCCTCCCTGCTCCGATTCCG-3′ | 5′-GGTAC|C-3′ | |||||
F:5′-GATTTTATTCTTACAACACAAAATCAAGAC-3′ | Hinf1 | 5′-G|ANTC-3′ | 176 bp (AA) | 148 bp and 28 bp (TT) | 176 bp, 148 bp, and 28 bp (AT) | |
R:5′-GCAAAGCCACCCCACTATAA-3′ | 5′-CTNA|G-3′ |
Abbreviation: bp, base pair..
Table 2 . Demographic details of patients with acquired aplastic anemia and healthy control subjects..
Characteristics | Patients (N=120) | Controls (N=120) |
---|---|---|
Age, mean yr±SD | 29.13±16.4 | 27.92±8.9 |
Sex | ||
Male (%) | 83 (69.2) | 62 (51.7) |
Female (%) | 37 (30.8) | 58 (48.3) |
Patients classification on the basis disease severity | ||
Severity | ||
Severe (%) | 53 (44.2) | 0 (0) |
Non-severe (%) | 56 (46.7) | 0 (0) |
Very severe (%) | 11 (9.1) | 0 (0) |
Patients categorization on the basis of response to immunosuppressive therapy | ||
Response to immunosuppressive therapy | ||
Responder (complete+partial) (%) | 63 (52.5) | 0 (0) |
Non-responder (%) | 57 (47.5) | 0 (0) |
Table 3 . Genotype and allele frequencies of the
Gene polymorphism | Patients (%), N=120 | Controls (%), N=120 | OR (95% CI) | ||
---|---|---|---|---|---|
GG (wild) | 70 (58.3%) | 85 (70.8%) | - | Reference | |
AA (mutant) | 6 (5%) | 5 (6%) | 0.546 | 0.68 (0.20–2.34) | |
GA (hetero) | 44 (36.7%) | 30 (36) | 0.043a) | 0.56 (0.32–0.98) | |
Allele frequency | |||||
G | 184 (0.77) | 200 (0.83) | - | Reference | |
A | 56 (0.23) | 40 (0.17) | 0.067 | 0.65 (0.41–1.03) | |
Dominant | 70 (58.3%) | 85 (70.8%) | - | Reference | |
GG vs. GA+AA | 50 (41.7%) | 35 (29.2%) | 0.042a) | 0.57 (0.33–0.98) | |
Over-dominant | 76 (63.3%) | 90 (75%) | - | Reference | |
GA vs. GG+AA | 44 (36.7%) | 30 (25%) | 0.050 | 0.57 (0.33–1.00) | |
Recessive | 114 (95%) | 115 (95.8%) | - | Reference | |
AA vs. GG+GA | 6 (5%) | 5 (4.2%) | 0.757 | 0.82 (0.24–2.78) | |
AA (wild) | 66 (55.0%) | 55 (45.83%) | - | Reference | |
TT (mutant) | 20 (16.67%) | 15 (12.5%) | 0.785 | 0.90 (0.42–1.92) | |
AT (hetero) | 34 (28.33%) | 50 (41.67%) | 0.047a) | 1.76 (1.00–3.10) | |
Allele frequency | |||||
A | 166 (0.70) | 160 (0.67) | - | Reference | |
T | 74 (0.30) | 80 (0.33) | 0.557 | 1.12 (0.76–1.64) | |
Dominant | 66 (55.0%) | 55 (45.8%) | - | Reference | |
AA vs. AT+TT | 54 (45.0%) | 65 (54.2%) | 0.155 | 1.44 (0.86–2.40) | |
Over-dominant | 86 (71.6%) | 70 (58.3%) | - | Reference | |
AT vs. AA+TT | 34 (28.4%) | 50 (41.7%) | 0.030a) | 1.80 (1.05–3.09) | |
Recessive | 100 (83.3%) | 105 (87.5%) | - | Reference | |
TT vs. AA+AT | 20 (16.7%) | 15 (12.5) | 0.360 | 0.71 (0.34–1.47) |
a)Statistically significant susceptible genotype..
Abbreviations: CI, confidence interval; OR, odds ratio..
Table 4 . Genotype distribution of the
Genotype | Severe (N=53) | Non-severe (N=56) | Very-severe | Control (N=120) | Severe patients | Non-severe patients | Very-severe | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
OR (95% CI) | OR (95% CI) | OR (95% CI) | ||||||||||
GG (wild) | 30 (56.60%) | 36 (64.28%) | 4 (36.36%) | 85 (70.83%) | - | Reference | - | Reference | - | Reference | ||
AA (mutant) | 3 (5.66%) | 2 (3.57%) | 1 (9.09%) | 5 (4.16%) | 0.441 | 0.58 (0.13–2.61) | 0.999 | 1.05 (0.19–5.71) | 0.282 | 0.23 (0.02–2.51) | ||
GA (hetero) | 20 (37.73%) | 18 (32.14%) | 6 (54.54%) | 30 (25.0%) | 0.073 | 0.52 (0.26–1.06) | 0.330 | 0.70 (0.34–1.42) | 0.032 | 0.23 (0.06–0.89) | ||
Dominant | 30 (56.60%) | 36 (64.28%) | 4 (36.36%) | 85 (70.83%) | - | Reference | - | Reference | - | Reference | ||
GG vs. GA+AA | 23 (43.39%) | 20 (35.71%) | 7 (63.63%) | 35 (29.16%) | 0.067 | 0.53 (0.27–1.05) | 0.382 | 0.74 (0.37–1.45) | 0.037 | 0.23 (0.06–0.85) | ||
Over-dominant | 33 (62.26%) | 38 (67.85%) | 5 (45.45%) | 90 (75.0%) | - | Reference | - | Reference | - | Reference | ||
GG+AA vs. GA | 20 (37.73%) | 18 (32.14%) | 6 (54.54%) | 30 (25.0%) | 0.088 | 0.55 (0.27–1.09) | 0.321 | 0.70 (0.35–1.41) | 0.035 | 0.27 (0.07–0.97) | ||
Recessive | 50 (94.33%) | 54 (96.42%) | 10 (90.90%) | 115 (95.83%) | - | Reference | - | Reference | - | Reference | ||
GG+GA vs. AA | 3 (5.66%) | 2 (3.57%) | 1 (9.09%) | 5 (4.16%) | 0.701 | 0.72 (0.16–3.15) | 0.999 | 1.17 (0.22–6.24) | 0.415 | 0.43 (0.04–4.09) | ||
AA (wild) | 27 (50.94%) | 34 (60.71%) | 5 (45.45%) | 55 (45.83%) | - | Reference | - | Reference | - | Reference | ||
TT (mutant) | 10 (18.86%) | 7 (12.5%) | 3 (27.27%) | 15 (12.5%) | 0.515 | 0.73 (0.29–1.85) | 0.578 | 1.32 (0.49–3.58) | 0.376 | 0.45 (0.09–2.12) | ||
AT (hetero) | 16 (30.18%) | 15 (26.78%) | 3 (27.27%) | 50 (41.67%) | 0.247 | 1.53 (0.74–3.17) | 0.046a) | 2.06 (1.00–4.22) | 0.721 | 1.51 (0.34–6.67) | ||
Dominant | 27 (50.94%) | 34 (60.71%) | 5 (45.45%) | 55 (45.83%) | - | Reference | - | Reference | - | Reference | ||
AA vs. AT+TT | 26 (49.05%) | 22 (39.28%) | 6 (54.54%) | 65 (54.16%) | 0.534 | 1.22 (0.64–2.34) | 0.065 | 1.82 (0.95–3.48) | 0.980 | 0.98 (0.28–3.40) | ||
Over-dominant | 37 (69.81%) | 41 (73.21%) | 8 (72.72%) | 70 (58.33%) | - | Reference | - | Reference | - | Reference | ||
AT vs. AA+TT | 16 (30.18%) | 15 (26.78%) | 3 (27.27%) | 50 (41.66%) | 0.151 | 1.65 (0.82–3.29) | 0.056 | 1.95 (0.97–3.90) | 0.523 | 1.90 (0.48–7.54) | ||
Recessive | 43 (81.13%) | 49 (87.5%) | 8 (72.72%) | 105 (87.5%) | - | Reference | - | Reference | - | Reference | ||
TT vs. AA+AT | 10 (18.86%) | 7 (12.5%) | 3 (27.27%) | 15 (12.5%) | 0.272 | 0.61 (0.25–1.47) | 0.999 | 1.00 (0.38–2.61) | 0.176 | 0.38 (0.09–1.59) |
a)Statistically significant susceptible genotype..
Abbreviations: CI, confidence interval; OR, odds ratio..
Table 5 .
Gene polymorphism | Complete+partial responder (N=63) | Non-responder (N=57) | OR (95% CI) | |
---|---|---|---|---|
GG (wild) | 35 (55.6%) | 35 (61.4%) | - | Reference |
AA (mutant) | 4 (6.3%) | 2 (3.5%) | 0.675 | 0.50 (0.08–2.91) |
GA (hetero) | 24 (38.0%) | 20 (35.0%) | 0.636 | 0.83 (0.39–1.77) |
Dominant | 35 (55.6%) | 35 (61.4%) | - | Reference |
GG vs. GA+AA | 28 (44.5%) | 22 (38.6%) | 0.516 | 0.78 (0.37–1.62) |
Over-dominant | 39 (61.9%) | 37 (64.9%) | - | Reference |
GG+AA vs. GA | 24 (38.0%) | 20 (35.0%) | 0.732 | 0.87 (0.41–1.85) |
Recessive | 59 (93.6%) | 55 (96.4%) | - | Reference |
GG+GA vs. AA | 4 (6.34%) | 2 (3.5%) | 0.681 | 0.53 (0.09–3.04) |
AA (wild) | 31 (49.2%) | 35 (61.4%) | - | Reference |
AT (hetero) | 20 (31.7%) | 14 (24.5%) | 0.261 | 0.62 (0.26–1.43) |
TT (mutant) | 12 (19.1%) | 8 (14.1%) | 0.307 | 0.59 (0.21–1.63) |
Dominant | 31 (49.2%) | 35 (61.4%) | - | Reference |
AA vs. AT+TT | 32 (50.8%) | 22 (38.6%) | 0.179 | 0.60 (0.29–1.26) |
Over-dominant | 43 (68.2%) | 43 (75.4%) | - | Reference |
AA+TT vs. AT | 20 (31.8%) | 14 (24.6%) | 0.383 | 0.70 (0.31–1.56) |
Recessive | 51 (80.9%) | 49 (85.9%) | - | Reference |
AA+AT vs. TT | 12 (19.1%) | 8 (14.1%) | 0.461 | 0.69 (0.26–1.84) |
Abbreviations: CI, confidence interval; OR, odds ratio..
Arihant Jain, Aditya Jandial, Thenmozhi Mani, Kamal Kishore, Charanpreet Singh, Deepesh Lad, Gaurav Prakash, Alka Khadwal, Reena Das, Neelam Varma, Subhash Varma and Pankaj Malhotra
Blood Res 2024; 59():Hend Nabil Ellithy, Sherif Mohamed Yousry, Asmaa Abdel-Aal, Lelian Tawadros, Nouran Momen
Blood Res 2022; 57(3): 229-234Saadet Akarsu, Feyzullah Necati Arslan, Deniz Erol
Blood Res 2022; 57(3): 223-228