| Literature DB >> 36189201 |
Oksana Boyarchuk1, Nataliia Yarema1, Volodymyr Kravets2, Oleksandra Shulhai1, Ivanna Shymanska2, Iryna Chornomydz1, Tetyana Hariyan1, Liubov Volianska1, Maria Kinash1, Halyna Makukh2,3.
Abstract
Severe combined immunodeficiency (SCID) is a group of inborn errors of immunity (IEI) characterized by severe T- and/or B-lymphopenia. At birth, there are usually no clinical signs of the disease, but in the first year of life, often in the first months the disease manifests with severe infections. Timely diagnosis and treatment play a crucial role in patient survival. In Ukraine, the expansion of hemostatic stem cell transplantation and the development of a registry of bone marrow donors in the last few years have created opportunities for early correction of IEI and improving the quality and life expectancy of children with SCID. For the first time in Ukraine, we initiated a pilot study on newborn screening for severe combined immunodeficiency and T-cell lymphopenia by determining T cell receptor excision circles (TRECs) and kappa-deleting recombination excision circles (KRECs). The analysis of TREC and KREC was performed by real-time polymerase chain reaction (RT-PCR) followed by analysis of melting curves in neonatal dry blood spots (DBS). The DBS samples were collected between May 2020 and January 2022. In total, 10,350 newborns were screened. Sixty-five blood DNA samples were used for control: 25 from patients with ataxia-telangiectasia, 37 - from patients with Nijmegen breakage syndrome, 1 - with X-linked agammaglobulinemia, 2 - with SCID (JAK3 deficiency and DCLRE1C deficiency). Retest from the first DBS was provided in 5.8% of patients. New sample test was needed in 73 (0.7%) of newborns. Referral to confirm or rule out the diagnosis was used in 3 cases, including one urgent abnormal value. CID (TlowB+NK+) was confirmed in a patient with the urgent abnormal value. The results of a pilot study in Ukraine are compared to other studies (the referral rate 1: 3,450). Approbation of the method on DNA samples of children with ataxia-telangiectasia and Nijmegen syndrome showed a high sensitivity of TRECs (a total of 95.2% with cut-off 2000 copies per 106 cells) for the detection of these diseases. Thus, the tested method has shown its effectiveness for the detection of T- and B-lymphopenia and can be used for implementation of newborn screening for SCID in Ukraine.Entities:
Keywords: KREC; TREC; inborn errors of immunity; newborn screening; severe combined immunodeficiency
Mesh:
Substances:
Year: 2022 PMID: 36189201 PMCID: PMC9521488 DOI: 10.3389/fimmu.2022.999664
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Figure 1Newborn screening diagnostic algorithm for determination SCID and T- and B-lymphopenia and results. * - below TREC/KREC cut-off without DNA amplification failure.
Baseline characteristics of the screened newborns.
| Characteristic | n | % |
|---|---|---|
| Male/Female | 5,279/5,071 | 51/49 |
| Gestational age (GA) | ||
| Extremely preterm (less than 28 weeks) | 12 | 0.11 |
| Very preterm (28 – 32 weeks) | 30 | 0.29 |
| Moderate preterm (32 – 37 weeks) | 566 | 5.47 |
| At term (GA ≥ 38 weeks) | 9,742 | 94.13 |
| Birth weight | ||
| Less than 1,000 grams | 8 | 0.08 |
| 1,000 – 1,499 grams | 23 | 0.22 |
| 1,500 – 2,499 grams | 340 | 3.29 |
| ≥ 2,500 grams | 9,979 | 96.4 |
Figure 2TRECs (A) and KRECs (B) (copies per 106 cells) in newborns depending on gestation age (GA).
Figure 3TRECs (A) and KRECs (B) (copies per 106 cells) in newborns depending on birth weight (BW).
Number of newborns, retests from the first DBS, and recalls in the study population.
| I period | II period | Тotal | |
|---|---|---|---|
| 5,000 cut-off | 2,000 cut-off | ||
| Newborns | 4,833 | 5,517 | 10,350 |
| Retest | 366 (7.6%) | 224 (4.1%) | 590 (5.8%) |
| Referral (urgent abnormal value) | 1 (0.02%) | 0 | 1 (0.01%) |
| New sample test | 45 (0.9%) | 28 (0.5%) | 73 (0.7%) |
| Referral to confirm/rule out the diagnosis | 1 (0.02%) | 1 (0.02%) | 2 (0.02%) |
Characteristics of patients with abnormal value (urgent abnormal value and abnormal value in new sample test).
| N | TRECs/KRECs, copies per 106 cells | Diagnosis | Lymphocytes, cells/µL (%) | CD3, cells/µL (%) | CD4/CD8, cells/µL(%) | CD19,cells/µL (%) | IgA/IgM/IgG, g/l | Outcome |
|---|---|---|---|---|---|---|---|---|
| 1. | 0/31,200 | CID (TlowB+NK+) | 700-1,300 | 520 (39.8) | 260/250 (20/19) | 620 (47) | <0.15 | Died 2 mos |
| 2. | 4,010/16,300 | Prematurity (GA–33 weeks), BW – 2300g. | 1,680-3,880 (12-73) | 2,285 (59) | 1,369/861 (35/22) | 1261 (32) | na | Alive |
| 3. | 129,000/723 | Mother – threatened abortion, polyhydramnios, progesterone –long period, antibiotic. | 5,390 | 4,086 (76) | 2,317/1,488 | 1,003 (18.6) | 0.22 | Alive |
CID, combined immunodeficiency; GA, gestational age; BW, birth weight.
Figure 4TRECs (A) and KRECs (B) (copies per 106 cells) in a control group (patients with AT, NBS, SCID (JAK3 deficiency and DCLRE1C deficiency), and XLA.
Sensitivity of method depending on TREC/KREC cut-offs levels in patients of controls (AT and NBS patients).
| Сut-off, copies per 106 cells | Sensitivity | |||||
|---|---|---|---|---|---|---|
| TREC | KREC | |||||
| AT (n=25) | NBS (n=37) | AT+NBS (n=62) | AT (n=25) | NBS (n=37) | AT+NBS (n=62) | |
| 10000 | 25 (100%) | 37 (100%) | 62 (100%) | 25 (100%) | 37 (100%) | 62 (100%) |
| 5000 | 25 (100%) | 37 (100%) | 62 (100%) | 24 (96%) | 37 (100%) | 61(98.4%) |
| 4000 | 24 (96%) | 37 (100%) | 61(98.4%) | 23 (92%) | 37 (100%) | 60 (96.8%) |
| 3000 | 24 (96%) | 37 (100%) | 61 (98.4%) | 22 (88%) | 37 (100%) | 59 (95.2%) |
| 2000 |
|
|
|
|
|
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| 1000 | 21 (84%) | 37 (100%) | 58 (93.5%) | 15 (60%) | 28 (75.7%) | 43 (69.4%) |
| 500 | 19 (76%) | 26 (70.3%) | 45 (72.6%) | 12 (48%) | 5 (13.5%) | 17 (27.4%) |
| 100 | 11 (44%) | 16 (43.2%) | 27 (43.5%) | 0 | 0 | 0 |
AT, ataxia-telangiectasia; NBS, Nijmegen breakage syndrome.
The sensitivity of TRECs and KRECs with cut-off 2000 copies per 106cells is highlighted in bold.
Comparison of the SCID newborn screening results in different studies.
| Study | Newborns, n | Cutoff TREC/KREC | Sample processing | Retest | Referral(after 1st retest) | New sample test | Referral | Rate of the referral | SCID detected |
|---|---|---|---|---|---|---|---|---|---|
| Verbsky JW. et al. (Wisconsin, USA, 2012) ( | 207,696 | 25 TRECs/μl -1st year; | RT-qPCR of TRECs and β-actin | na | 63 | 386 | 9 | 1: 2,884 | 5 |
| Giżewska M. et al. (Poland-German, 2020) ( | 44,287 | < 6/<4 | Commercial kit (ImmunoIVD, Sweden) | 321 | 7 | 68 | 1 | 1: 5,366 | 1 |
| de Felipe B. et al. | 5,160 | < 6/<4 | RT-qPCR | 77 | na | 10 | 5 | 1: 1,032 | 0 |
| Argudo-Ramírez A. et al. | 130,903 | ≤ 34 | Commercial kit (PerkinElmer, Finland) | 3108 | 12 | 304 | 18 | 1: 4,363 | 1 |
| Barbaro M. et al. (Sweden, 2017) ( | 58,834 | Last – | RT-qPCR | 572 | na | 64 | 3 | 1: 20,000 | 1 |
| Thomas C. et al. (French, 2019) ( | 190,517 | ≤ 34 | Commercial kit (PerkinElmer, Finland) | na | 139 | 291 | 26 | 1: 1,154 | 3 |
| Chien YH. et al. (Taiwan, 2015) ( | 106,391 | < 40 TRECs/μl | RT-qPCR of TRECs | na | 5 | 432 | 19 | 1: 4,433 | 2 |
| Rechavi E. et al. (Israel, 2017) ( | 177,277 | From 36 to 23 | Commercial kit (PerkinElmer, Finland) | 4.24% (for 36) | na | 561 | 46 | 1: 3,853 | 8 |
| Adams SP. et al. (UK, 2014) ( | 5,099 | < 40 TRECs/μl | Commercial kit (PerkinElmer, Finland) | 209 | na | 51 | – | na | 18 (control) |
| Al-Mousa H. et al. (Saudi Arabia, 2018) ( | 8,718 | < 36 copies/μl | Commercial kit (PerkinElmer, Finland) | 315 | 16 | – | – | 1: 545 | 3 |
| Blom M. et al. (Netherland, 2018) ( | 1,272 | 30 copies/μL/ | Commercial kit (PerkinElmer, Finland/Immuno IVD) Sweden) and | na | na | 38 (3.0%)/ | – | na | |
| This study | 10,350 | <5,000 copies/per 106cells -1st stage; | RT-qPCR | 590 (5.8%) | 1 | 73 | 2 (0.02%) | 1: 3,450 | 1 (CID) |