| Literature DB >> 29951372 |
Maria K Smatti1, Duaa W Al-Sadeq2, Nadima H Ali1, Gianfranco Pintus2, Haissam Abou-Saleh3, Gheyath K Nasrallah1,2.
Abstract
The Epstein-Barr virus (EBV) is a DNA lymphotropic herpesvirus and the causative agent of infectious mononucleosis. EBV is highly prevalent since it affects more than 90% of individuals worldwide and has been linked to several malignancies including PTLDs, which are one of the most common malignancies following transplantation. Among all the EBV genes, most of the recent investigations focused on studying the LMP-1 oncogene because of its high degree of polymorphism and association with tumorigenic activity. There are two main EBV genotypes, Type 1 and 2, distinguished by the differences in the EBNA-2 gene. Further sub genotyping can be characterized by analyzing the LMP-1 gene variation. The virus primarily transmits through oral secretions and persists as a latent infection in human B-cells. However, it can be transmitted through organ transplantations and blood transfusions. In addition, symptoms of EBV infection are not distinguishable from other viral infections, and therefore, it remains questionable whether there is a need to screen for EBV prior to blood transfusion. Although the process of leukoreduction decreases the viral copies present in the leukocytes, it does not eliminate the risk of EBV transmission through blood products. Here, we provide a review of the EBV epidemiology and the genetic variability of the oncogene LMP-1. Then, we underscore the findings of recent EBV seroprevalence and viremia studies among blood donors as a highly prevalent transfusion transmissible oncovirus.Entities:
Keywords: Epstein–Barr virus; LMP-1 oncogene; blood donors; seroprevalence; transfusion; viremia
Year: 2018 PMID: 29951372 PMCID: PMC6008310 DOI: 10.3389/fonc.2018.00211
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1Schematic representation describing the mechanism by which LMP-1 protein affects cell signal transduction. CTAR1 and CTAR2 bind to TRAF proteins and activate NF-κB and JNK–AP-1 pathways. LMP-1 can block cell apoptosis signals by activating BCL2A1.
Figure 2Epstein–Barr virus (EBV) life cycle in healthy carriers. The infection begins when EBV infect epithelial cells and naïve B cells of the oral cavity. EBV genome will be transported to the nucleus of B cell where it will replicate and results in the proliferation of B cells. Latency occurs when EBV downregulate most of its protein-encoding genes. Later, as cells recirculate between peripheral and oral compartments, resting B cells will be reactivated and cause viral shedding.
Figure 3A scheme of serological response to Epstein–Barr virus (EBV) infection. Viral capsid antigens (VCA)-IgM is detected in the active phase of infection and then declines in convalescence. VCA-IgG increases at the same time of VCA-IgM, but it remains positive for life indicating past infection. Epstein Barr nuclear antigens (EBNA) antibodies are detectable late in the phase of infection and also remain positive. Early antigens (EA) antibodies to the class R or D increase in the acute phase of infection and decline after convalescence.
Primers used for detection Epstein–Barr virus (EBV) DNA.
| Gene/region | Method | Primers | Reference |
|---|---|---|---|
| EBNA-1 gene | Nested PCR | -Outer primers: Forward primer: 5′-GTA GAA GGC CAT TTT TCC AC-3′ Reverse primer: 5′-CTC CAT CGT CAA AGC TGC A-3′ Forward primer: 5′-AGA TGA CCC AGG AGA AGG CCC AAG C-3′ Reverse primer: 5′-CAA AGG GGA GAC GAC TCA ATG GTG T-5′ | ( |
| Real-time PCR | Forward: 5′-TCATCATCATCCGGGTCTCC-3′ Reverse: 5′-CCTACAGGGTGGAAAAATGGC-3′ Probe: 5-(FAM)-CGCAGGCCCCCTCCAGGTAGAA(TAMRA)-3′ | ( | |
Forward: 5′-GACTGTGTGCAGCTTTGACGAT-3′ Reverse: 5′-CGGCAGCCCCTTCCA-3′ Probe: 5′-(FAM)-TAGATTTGCCTCCCTGGTTTCCACCTATG-(TAMRA)-3′ | ( | ||
| BamH1-K | Real-time PCR | Forward primer: 5′-CCG GTG TGT TCG TAT ATG GAG-3′ Reverse primer: 5′-GGG AGA CGA CTC AAT GGT GTA-3′ Probe: 5′-TGC CCT TGC TAT TCC ACA ATG TCG TCT T-3′ (SEB). | ( |
| EBNA-2 Gene | Nested PCR | -Outer primers: Forward primer: 5′-AGGGATGCCTGGACACAAGA-3′ Reverse primer: 5′-TGGTGCTGCTGGTGGTGGCAAT-3′ Forward primer: 5′-TCTTGATAGGGATCCGCTAGGATA-3′ Reverse primer: 5′-ACCGTGGTTCTGGACTATCT-GGATC-3′ Forward primer: 5′-CATGGTAGCCTTAGGACATA-3′ Reverse primer: 5′-AGACTTAGTTGATGCCCTAG-3′ | ( |
| -Outer primers: Forward primer: 5′-TTT CAC CAA TAC ATG ACC C-3′ Reverse primer: 5′-TGG CAA AGT GCT GAG AGC AA-3′ Forward primer: 5′-CAA TAC ATG AAC CRG AGT CC-3′ Reverse primer: 5′-AAG TGC TGA GAG CAA GGC MC-3′ | ( | ||
| -Outer primers: Forward primer: 5′-TGGAAACCCGTCACTCTC-3′ Reverse primer: 5′-TAATGGCATAGGTGGAATG-3′ Forward primer: 5′-AGGGATGCCTGGACACAAGA-3′ Reverse primer: type 1 EBNA-2:5′-GCCTCGGTTGTGACAGAG-3′ type 2 EBNA-2:5′-TTGAAGAGTATGTCCTAAGG-3′ | ( | ||
| EBNA-3C | Conventional PCR | Forward primer: 5′-AGAAGGGGAGCGTGTGTTGT-3′ Reverse primer: 5′-GGCTCGTTTTTGACGTCGGC-3′ | ( |
| EBNA-5 BamHI-W Fragment | Real-time PCR | Forward primer: 5′-AGGCTTAGTATACATGCTTCTTGCTTT-3′ Reverse primer: 5′-CCCTGGCTGATGCAACTTG-3′ Probe: 5′-GCAGCCTAATCCCACCCAGACTAGCC-3′ | ( |
Forward primer: 5′-CCCAACACTCCACCACACC-3′ Reverse primer: 5′-TCTTAGGAGCTGTCCGAGGG-3 Probe: 5′-(FAM)CACACACTACACACACCCACCCGTCTC-3′ | ( | ||
| Conventional PCR | Forward primer:5′-CCAGACAGCAGCCAATTGTC-3′ Reverse primer: 5′-TAGAAGACCCCCTCTTAC-3′ | ( | |
Forward primer: 5′-ACC TGC TAC TCT TCG GAA AC-3′ Reverse primer: 5′-TCT GTC ACA ACC TCA CTG TC-3′ | ( | ||
| LMP-1 gene | Nested PCR | -Outer primers: Forward primer: 5′-AGTCATAGTAGCTTAGCTGAA-3′ Reverse primer: 5′-CCATGGACAACGACACAGT-3′ Forward primer: 5′-AGTCATAGTAGCTTAGCTGAA-3′ Reverse primer: 5′-CAGTGATGAACACCACCACG-3′ | ( |
| Conventional PCR | Forward primer: 5′-AGCGACTCTGCTGGAAATGAT-3′ Reverse primer: 5′-TGATTAGCTAAGGCATTCCCA-3′ | ( | |
| LMP-2 gene | Real-time PCR | Forward primer: 5′-AGCTGTAACTGTGGTTTCCATGA-3′ Reverse primer: 5′-GCCCCCTGGCGAARAG-3′ Probe: 6-FAM-CTGCTGCTACTGGCTTTCGTCCTCTGG-TAMRA | ( |
| BALF5 gene | Real-time PCR | Forward primer: 5′-CGGAAGCCCTCTGGACTTC-3′ Reverse primer: 5′-CCCTGTTT ATCCGATGGAATG-3′ Probe: 5′-TGTACACGCACGAGAAATGCGCC-3′ | ( |
| BamHI-F region | Conventional PCR | Forward primer: 5′-TCC CAC CTG TTA CCA CAT TC-3′ Reverse primer: 5′- GGC AAT GGG ACG TCT TGT AA-3′ | ( |
| EBER1 | Conventional PCR | Forward primer: 5′-TCTGTGGCAGGAGTGGTGGGCCCTGAACAT-3′ Reverse primer: 5′-AGACACCGTCCTCACCACCCGGGACTTGTA-3′ | ( |
Prevalence of Epstein–Barr virus DNA in various samples.
| Country | Sample type | Sample size | Seroprevalence (%) | Genotype | Diagnostic assay used | Year | Reference |
|---|---|---|---|---|---|---|---|
| United States of America | Whole blood | 143 | 42 (29.3) | – | Real-time quantitative polymerase chain reaction | 2012 | ( |
| Whole blood | 92 | 75 (82) | – | In-house quantitative real-time polymerase chain reaction | 2012 | ( | |
| Plasma | 116 | 15 (13) | |||||
| PMNCs | 64 | 56 (88) | |||||
| Oral wash: cell pellet | 143 | 66 (46) | |||||
| Whole blood | 19 | 5 (26) | – | Real-time quantitative polymerase chain reaction | 2016 | ( | |
| Whole blood | 66 | 42 (64) | – | Real-time quantitative polymerase chain reaction | 2013 | ( | |
| Whole blood | 86 | 7 (8) | – | Real-time quantitative polymerase chain reaction | 2016 | ( | |
| Colombia | Saliva | 17 | 9 (52.9) | – | In-house Real-time polymerase chain reaction | 2016 | ( |
| Brazil | Saliva | 100 | 60 (60) | – | Nested polymerase chain reaction | 2018 | ( |
| Saliva and fresh tissue samples | 17 each | 64.7 | – | Nested polymerase chain reaction | 2016 | ( | |
| Scraping samples of the tongue lateral border | 53 | 53 (100) | Type 1,2 | Nested polymerase chain reaction | 2008 | ( | |
| Australia | Tissue | 55 | 55 (100) | Type 1, 2 | DNA sequence analysis | 2012 | ( |
| Czech Republic | Whole blood | 29 | 19 (66) | – | Real-time quantitative polymerase chain reaction | 2011 | ( |
| Plasma | 29 | 22 (76) | |||||
| Poland | Fresh frozen tumor tissue | 78 Oropharyngeal cancer | 40 (51.3) | – | Nested polymerase chain reaction | 2016 | ( |
| Saliva | 40 healthy | 8 (20) | |||||
| Saliva | 56 | 22 (39.3) | Type 1 | Nested polymerase chain reaction | 2004 | ( | |
| Sweden | Cervical secretions | 305 | 32 (10.5) | Real-time quantitative polymerase chain reaction | ( | ||
| Germany | Saliva | 47 | 14 (30) | – | Polymerase chain reaction | 2017 | ( |
| Serbia | Tissue | 80 | 37 (46.6) | Type 1 | Nested polymerase chain reaction | 2016 | ( |
| Qatar | PMNCs | 673 | 354 (52.6) | – | Real-time quantitative polymerase chain reaction | 2013 | ( |
| China | PMNCs | 859 | 206 (24) | Polymerase chain reaction and restricted fragment length polymorphisms (RFLP) | 2017 | ( | |
| Plasma | 1,318 | 69 (5.2) | Real-time polymerase chain reaction | 2013 | ( | ||
| Saliva | 20 | 20 (100) | Type 1,2 | Quantitative polymerase chain reaction | 2015 | ( | |
| Paraffin-embedded tissues | 209 | 146 (69.9) | Type 1,2 | Quantitative polymerase chain reaction | 2014 | ( | |
| India | Serum | 40 | 37 (92.5) | – | Standard phenol chloroform method and then polymerase chain reaction | 2016 | ( |
| Kenyan | Purified T-cell fractions saliva and breast milk | – | – | Type 2 | – | 2017 | ( |
| Egypt | Paraffin-embedded samples of breast tissue | 84 | 32 (38) | – | Nested polymerase chain reaction | 2017 | ( |
| Eritrea | Formalin-fixed paraffin-embedded breast cancer tissue | 144 | 40 (27.77) | – | Polymerase chain reaction | 2017 | ( |
| Sudan | – | 150 | 92 (61.3) | – | Polymerase chain reaction | 2015 | ( |