Literature DB >> 32939516

From Anti-EBV Immune Responses to the EBV Diseasome via Cross-reactivity.

Darja Kanduc1, Yehuda Shoenfeld2,3.   

Abstract

Sequence analyses highlight a massive peptide sharing between immunoreactive Epstein-Barr virus (EBV) epitopes and human proteins that-when mutated, deficient or improperly functioning-associate with tumorigenesis, diabetes, lupus, multiple sclerosis, rheumatoid arthritis, and immunodeficiencies, among others. Peptide commonality appears to be the molecular platform capable of linking EBV infection to the vast EBV-associated diseasome via cross-reactivity and questions the hypothesis of the "negative selection" of self-reactive lymphocytes. Of utmost importance, this study warns that using entire antigens in anti-EBV immunotherapies can associate with autoimmune manifestations and further supports the concept of peptide uniqueness for designing safe and effective anti-EBV immunotherapies. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. ( https://creativecommons.org/licenses/by/4.0/ ).

Entities:  

Keywords:  EBV epitopes; autoimmunity; cross-reactivity; negative selection; pathogenic autoantibodies; self-reactive lymphocytes; systemic lupus erythematosus

Year:  2020        PMID: 32939516      PMCID: PMC7490125          DOI: 10.1055/s-0040-1715641

Source DB:  PubMed          Journal:  Glob Med Genet        ISSN: 2699-9404


Introduction

The connection between Epstein-Barr virus (EBV) and Burkitt's lymphoma (BL) was discovered in 1964. 1 Almost contemporaneously, high anti-EBV antibody levels were found in BL. 2 3 Since then, EBV infection has been associated with a wide spectrum of malignancies that, besides BL, comprehends different types of lymphomas, nasopharyngeal carcinoma (NPC), breast and brain cancer, and oral hairy leukoplakia, 4 5 6 7 8 among others. In addition, EBV has been implicated in a wide variety of diseases, including systemic lupus erythematosus (SLE), Sjögren's syndrome, multiple sclerosis (MS), myasthenia gravis (MG), rheumatoid arthritis (RA), autoimmune thyroid disorders, inflammatory bowel disease, celiac diseases, diabetes, Parkinson's disease, myopericarditis, dilated cardiomyopathy, and even death. 9 10 11 12 13 14 At the same time, anti-EBV antibody level was found to be higher in BL patients than in control subjects. 3 15 16 17 High level of anti-EBV immunoglobulin G antibodies were also found in subjects with NPC, 18 19 20 21 with IgG reactivity increasing significantly with tumor stage 21 ; Hodgkin and non-Hodgkin lymphomas 22 23 24 ; precancerous gastric lesions 25 ; MS 26 27 28 29 ; RA 30 31 32 ; MG 33 34 ; and SLE, 29 31 34 among others. In general, high antibody titers to EBV appeared to be related to a worse prognosis, a phenomenon that has been described by Coutinho's laboratory 35 as “the advantage of being low-respondents.” Currently, measurement of increased anti-EBV antibody titers is utilized to predict, to detect, and to monitor the progression of EBV-related cancers and progression of the various EBV-induced diseases. 36 37 38 Today, in front of such well known clinical context, the molecular mechanism(s) by which anti-EBV immune responses relate to the EBV diseasome, from lymphomas to Parkinson's disease, are still obscure. From a logical point of view, a central question remains unanswered and perhaps, as far as we know, has never been clearly posed: why the powerful anti-EBV immune responses herald cancers, autoimmune diseases, and death instead of eradicating the viral infection and re-establishing a healthy status? In the clinical frame exposed above and on the basis of previous scientific reports 39 40 41 42 that have detailed a high level of peptide sharing between EBV and human proteins involved in crucial functions, this study investigates whether the immune responses that accompany active EBV infection have the potential to cross-react with and damage human proteins that, when altered, can lead to various cancer and autoimmune diseases. That is, the thesis is explored according to which the anti-EBV immune responses that should be a “protective defense” from EBV infection actually cross-react with human proteins, in this way setting up an anti-human protein assault with catastrophic pathologic sequelae in the body. Specifically, the present study used the pentapeptide as an antigenic and immunogenic unit, 43 44 45 46 47 48 and analyzed 3,197 experimentally validated immunoreactive EBV-derived epitopes for pentapeptide matches with the human proteome. Data are reported on a vast peptide sharing between EBV epitopes and proteins involved in tumorigenesis, autoimmune disorders, diabetes, and death, among others. The data suggest that cross-reactivity is the mechanism underlying the causal connection between EBV infection, immune response, and the EBV-associated diseases.

Methods

An EBV immunome formed by 3,197 immunopositive linear epitopes was assembled from Immune Epitope DataBase (IEDB, www.iedb.org ). 49 The immunopositive EBV epitopes are listed in Supplementary Table S1 (available in the online version). EBV epitope sequences were dissected into pentapeptides overlapped each other by four amino acid (aa) residues. The resulting 11,564 pentapeptides were analyzed for occurrence(s) within the human proteome using Pir Peptide Match Program. 50 Proteins related to EBV-induced diseases were annotated. UniProtKB database ( http://www.uniprot.org/ ) 51 PubMed, and OMIM resources were used. Abbreviation: EBV, Epstein-Barr virus.

Results

Quantitation of the Peptide Sharing between EBV Epitopes and the Human Proteome

Following matching analyses of the 11,564 pentapeptides composing the 3,197 experimentally validated immunoreactive EBV epitopes, it was found that almost all of the epitope-derived pentapeptides (i.e., 93%) are widespread among thousands of human proteins ( Table 1 ). From a mathematical point of view, if one considers that the probability of a pentapeptide to occur in two proteins is 20 −5 (or 1 out of 3,200,000 or 0.0000003125), then the peptide overlap existing between the EBV immunome and the human proteome is staggering.
Table 1

Numerical description of the pentapeptide sharing between the set of 3,197 immunopositive EBV epitopes and the human proteome

Pentapeptides composing the 3,197 EBV epitope immunome11,564
EBV epitope pentapeptides not shared with the human proteome798
EBV epitope pentapeptides shared with the human proteome10,766
Human proteins sharing pentapeptides with EBV epitopes18,744
Occurrences of EBV epitope pentapeptides in the human proteome (including multiple occurrences)137,805

Abbreviation: EBV, Epstein-Barr virus.

Distribution of the Peptide Sharing among EBV Epitopes

A synthetic snapshot (i.e., 201 EBV epitopes) of the immunoreactive peptide sharing is shown in Table 2 , where peptide sequences shared with the human proteins are given in capital format and peptide fragments uniquely present in EBV are given with aa in small bold format. Table 2 clearly shows that the immunoreactive EBV epitopes are predominantly composed by peptide sequences common to human proteins.
Table 2

Pentapeptide sharing between 201 immunoreactive EBV epitopes and human proteins a

IEDB ID b EPITOPE c d IEDB ID b EPITOPE c d IEDB ID b EPITOPE c d
950AEGLRALLARSHVER45499NPTQAPVIQLVHAVY127195TEMYIMYAM
1518AGGAGAGGGAGGA46498NVTQVGSEPISPEIG127369WEMRAGREI
1716AGVFVYGGSKTSLYN47613PGAPGGSGSGP127392WPTPKTHPV
2390 ALA ipqcr L 47760PGTGPGNGLGEKGDT127408 yamai RQAI
2742ALLVLYSFAL48320PLFDRKSDAK137773YNLRRGIAL
2743ALLVLYSFALMLIIIILIIF48486PLSRLPFGM138854GAGAGAGA
3005ALWNLHGQALFLGIVL48852 PPPGRRP ffhpv GE 138856GRGRGRGR
3600 apify PPVL 48876 PPP qapyq GY 138882MTAASYARY
3782APRLPDDPI49864PVFDRKSDAK138873LMARRARSL
3951AQEILSDNSEISVFPK50298QAKWRLQTL141342LLDFVRMGV
5316AVFDRKSDAK51685QNGALAINTF144799TLNLT
5317AVFDRKSVAK51946QPRAPIRPI167590GPQRR
5326AVFNRKSDAK52142 QQ rpvmfv SRVPAKK 186702PQPRAPIRPIPT
5439 AVLL heesm 53195RARGRGRGRGEKRP191290FIVFLQTHI
8120DEPASTEPVHDQLL54367RKIYDLIEL227777HPVAEADYFEY
8905 DKI vqapify PPVLQ 54728RLRAEAQVK230640ASDYSQGAF
9644 DP hgpvq LSYYD 55251 R ppifi RLL 230798FYPPVLQPI
10448DTPLIPLTIF55298RPQKRPSCI231136 LAYA rgqam
10858DYDASTESEL55327RPRPPARSL231402RRVRRRVLV
10963DYSQGAFTPL55529RRARSLSAERY231547 TVFY nippm
11804EENLLDFVRF55619RRIYDIEL231696YRTATLRTL
12183EGGVGWRHW56506RYAREAEVRF231699YSQGAFTPL
13628EPDVPPGAIEQGPAD56523RYEDPDAPL231800AQPAPQAPY
16876FLRGRAYGI56650RYSIFFDY231839DSIMLTATF
17110FMVFLQTHI56651RYSIFFDYM231840 DTR aidqf F
17600FRKAQIQGL57755SFFDRKSDAK231880FLQRTDLSY
18328FVYGGSKTSL59084SLFDRKSDAK231966HVIQNAFRK
18438 FY nippm PL 59432SLREWLLRI232020KPWLRAHPV
18946GDDGDDGDEGGDGDE62305SVRDRLARL232021KQRKPGGPW
19674GGAGGAGGAGAGGGAG67456TYSAGIVQI232030 KTIG nfkpy
19737GGGAGAGGAGAGGGGR68561VFSDGRVAC232074LPTPMQLAL
20023GGSKTSLYNLRRGTA69558VLKDAIKDL232076LQALSNLIL
21719GPPAA70251VPAPAGPIV232078LQSSSYPGY
21723GPPAAGPPAAGPPAA70624VQPPQLTQV232080 LS aeryt LF
21870GQGGSPTAM70932 VSFI efvgw 232081LSVIPSNPY
22159GRPAVFDRKSDAKST71968VYAASFSPNL232086LTQAAGQAF
22976GVFVYGGSKTSLYNL72028VYGGSKTSL232095LVSSGNTLY
23324 G ydvgh GPL 72251WAPSV232096LVSSSAPSW
23449GYRTATLRTL73221WVPSV232103MEQRVMATL
23994 H hiwqnll 74120 yhliv DTDSL 232177QEPGPVGPL
24170HLAAQGMAY75188YNLRRGTAL232178QEQLSDTPL
24533 HPV geady 75189YNLRRGTALAIPQ232199RESIVCYFM
24666HRCQAIRK75356 YPL heqhg M 232214RLHRLLLMR
24667HRCQAIRKK75360YPLHKQHGM232232 RPAP pkiam
26480IIFIFRRDLLCPLGAL75731YSFALMLIIIILIIFIFRRD232276SEPCEALDL
26538IIIILIIFI79634QPRAPIRPIT232308SQISNTEMY
27103ILIIFIFRRDLLCPLGALCI93251LLARSHVER232332 TE dnvppwl
27301ILRQLLTGGVKKGRP94034THIFAEVLKD232416VTFSAGTFK
27375ILTDFSVIK97317 fwemr AGREITQ 232419VTTQRQSVY
29618IYLLEMLWRL98084GVFVYGGSK232427 waqig HIPY
30430KEHVIQNAF101654FVYGGSKTSLY232437WQRRYRRIY
30431KEHVIQNAFRK101878LQTHIFAEV232473YQEPPAHGL
33207 KR ppifi RR 102253 YPL heqyg M 237896QTAAAVVF
33866KTSLYNLRRGTALA106084RPRSPSSQSSSSGSPPRRP237920RYKNRVASR
35162LDFVRFMGV107724AARQRLQDI540571QPRLTPPQPL
35533LEKARGSTY107869GPKVKRPPI540583RPTELQPTP
37153LLDFVRFMGV108006 LLDFV rfmgy 540628TSSPSMPEL
38514LPGPQVTAVLLHEES108191VMATLLPPV548981LLDFVRFMG
39102 lrgkw QRRYR 118970PPPGRRP548987NGALAINTF
39634LSRLPFGMA124861WNLHGQALFL548994QNGALAINT
41113 MARRARSLS aeryt L 126528 LA samrm LW 595247FGLVLFPAQI
41147MATLLPPVPQQPRAG126967 RPRP rtpew 653929AAQGMAY
41841 mkkaw LSRAQQADAG 126980RRAALSGHL672845PIFIRRL
42525MSDEGPGTGPGNGLG126985RRLHRLLLM674203 R amsfi ATY
42941MVFLQTHIFAEVLKD126986RRRRRRAAL675184 R ppifi R
44181NIAEGLRAL126991RRYRRIYDL676208RRIYDLI
45378 N pkfen IAEGLRALL 127118SQAAFGLPI695961QAPYPGYEE

Abbreviations: EBV, Epstein-Barr virus; IEDB, Immune Epitope DataBase.

Epitopes assembled from IEDB ( www.iedb.org ). 49 Epitope experimental details and references are available at www.iedb.org .

Epitopes listed according to IEDB ID number. 49

Epitope sequences given in 1-letter code.

Pentapeptides shared between EBV epitopes and human proteins are given in capital letters, while pentapeptides present only in EBV are given in bold small format.

Abbreviations: EBV, Epstein-Barr virus; IEDB, Immune Epitope DataBase. Epitopes assembled from IEDB ( www.iedb.org ). 49 Epitope experimental details and references are available at www.iedb.org . Epitopes listed according to IEDB ID number. 49 Epitope sequences given in 1-letter code. Pentapeptides shared between EBV epitopes and human proteins are given in capital letters, while pentapeptides present only in EBV are given in bold small format. Immunologically, Tables 1 and 2 document that the experimentally validated immunoreactive EBV epitopes mostly consist of pentapeptides that also occur in human proteins, in this way indicating a highest cross-reactivity potential, given the fact that a pentapeptide is a minimal immune determinant that contains the immunological information in terms of both immunogenicity and antigenicity. 43 44 45 46 47 48

The Pathological Implications of the Peptide Sharing between EBV Epitopes and Human Proteins: Lymphomas and Leukemias

Numerous cancer-related proteins share peptides with the here analyzed self-reactive EBV epitopes. Reasons of space do not permit a detailed peptide-by-peptide description of the sharing and only a few examples are described in Tables 3 and 4 . Specifically, Table 3 shows the peptide sharing between the immunoreactive EBV epitopes and human proteins that—when mutated, modified, improperly functioning or deficient—are implicated in lymphomagenesis/leukemogenesis. 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 It can be seen that the extent of the peptide sharing is very high and comes to the fore with glaring evidence when focusing on histone-lysine N -methyltransferase 2D (KMT2D), the disruption of which perturbs germinal center B cell development and promotes lymphomagenesis. 77 78 KMT2D alterations are involved in follicular lymphoma and diffuse large B-cell lymphoma, 92 cutaneous T-cell lymphoma and Sézary syndrome, 93 ocular adnexal MALT-type marginal zone lymphomas, 79 and chronic myeloid leukemia. 94 Moreover, KMT2D alterations are involved in intraocular medulloepithelioma, 95 small cell lung cancer, 96 bladder cancer, 97 98 and non-small-cell lung cancer. 99 Of not less importance, alterations of KMT2D have a causal role in Kabuki syndrome 100 that is characterized by skeletal and visceral abnormalities and cardiac anomalies, 101 hyperinsulinism, 102 epilepsy, 103 desmoid fibromatosis, 104 immunopathological manifestations, 105 lupus, 106 and oriental alterations, 107 among others.
Table 3

Pentapeptide sharing between immunoreactive EBV epitopes and human proteins implicated in lymphomagenesis/leukemogenesis

Shared peptides Lymphoma/Leukemia-related proteins containing EBV epitope peptide(s) a Ref b
LSPLL, RRQKR, LALRA, KEVLE, LGLGD, GNLVT, SLESV, LPTLL, PETVP, ALYLQ, ARVKE, PSLKL, KILLA, NPETL, EGLKD, LYLQQ, QKRPS, VAKVA, DRHSD, LQAIG, LSQVC, RPSCIATM: Serine-protein kinase ATM 52
PLPPP, PPLPP, LPTLL, REAIL, AERHG, CKKDHBANK1: B-cell scaffold protein with ankyrin repeats 53 54
EEEEE, PPLPP, GAGGG, AGAGG, GAGGA, AGGGA, GRGGG, PPPVS, LSAAS, PPLGP, PPVSP, EPGPA, PVSPG, SSLTP, TPPPQ, GDDDD, AVAQS, DPSLG, GNSST, PGLFP, SEPVE, DDAGG, DDDAGBC11B: B-cell lymphoma/leukemia 11B 55 56 57
SSSEE, GPPSP, APAST, GPEAR, PCPQA, PQARL, RFIQABCL6B: B-cell/lymphoma 6 member B protein 58 59 60 61 62
SPSPP, PLPPV, GSGAG, PAGSL, PVPPP, EPGPA, EQASL, EGTRL, LDLDF, LNQNL, VLQKLBIN1: Myc box-dependent-interacting protein 1 63
LLLLL, LRLLL, RLRLL, KEDDG, EGGQNCADM1: Cell adhesion molecule 1 64
PPPPP, LPPPP, GSGSG, GGGSG, GAGGG, GSGGS, SGGSG, GGSGS, SGSGG, LPPVP, PPVPA, PVPPT, QQGSG, CTPGD, PYILDCBL: E3 ubiquitin-protein ligase CBL 65
PPPLP, PPGPS, LSPLS, SSPQP, ATSGA, ENLLD, EENLL, SPVLG, AFEEV, GPQDP, YDAPGCRTC2: CREB-regulated transcription coactivator 2 66
LLARL, GASGS, VAGLL, PLHAL, LARLR, SGASP, CGLLR, VPKPR, FIRRL, TDGKT, TPLLT, ALIKT, SSCNSDAPK1: Death-associated protein kinase 1 67 68
EEEAE, FGLSR, SDLSR, SLESV, KAIEE, VIQLV, IIAVV, VMDLL, IAVVA, IKAIE, ESFTQ, QDVGA, RLFAA, TTGGK, VIKAI, SFTQGEPHA7: Ephrin type-A receptor 7 (998 aa) 69
LLLLL, PPPPP, LPPPP, ALLLL, LALLL, PPPPS, PPLPP, FPPPP, SLSST, GSPPR, PPQVP, SPSDS, TLSPS, TSEPV, SEDDP, ESVDV, GTPPQ, TDGGG, TSVVQ, VYAAS, EDDPQ, PSELD, DLRPL, FVGDY, KGTPP, PRLFA, VCSVA, HSPVV, ILQIS, LYEAS, PYEAFFAT1: Protocadherin Fat 1 70 71
PPPPP, GGGGG, EEEEA, AAAAV, SSSEE, GGSGS, GGGGD, RGGSG, GAPGG, ASGPG, LPGVP, VSPAV, PGGLG, VEAHV, GGDGD, LRAAT, ERPLA, FPEGV, GGDKVHIC1: Hypermethylated in cancer 1 protein 72
PPRPP, RRRKG, ATAAA, SVSQP, AEVLK, LLQTE, SHTATKDM6A: Lysine-specific demethylase 6A 73 74
PPPPP, QPPPP, SPPPP, SSSSA, SSSAP, PTPPP, GAPAA, KKRKR, RGGRG, GGRGR, PPPPY, SSSAG, GRGGR, LPPTP, APPTP, PPLGP, PTPLP, SGSPP, PQPPL, SQASA, DDEDL, STSVP, LPGVS, SSGTA, LTPRP, RPRGA, RQRSR, SGLGT, TPRPP, TPRPS, TSVPS, VTLPL, DLILQ, GTPRP, TPRPV, IAVSS, LDTED, TPRPR, LGATI, SAPRK, EGVEV, LSPAN, LSSCP, MQPPP, SLIQL, AKIEA, EDLFG, EEVEN, QGVQV, TPRSQ, VEDLF, LGLYA, PQSGP, DSREG, VSTAD, GPADD, PADDP, QSLIQ, VFPKD, DTDSL, GTFKP, IPQTL, PLQHW, TGQGK, EQHGM, IDDNS, LRPQW, QRHSD, TFKPP, GPRHT KMT2C: Histone-lysine N -methyltransferase 2C 75 76
EEEEE, QPPPP, PLPPP, SAAAA, LRLLL, PAPAA, PAAAP, PTPPP, APPAP, GRGRG, PPSPG, PSPGS, PSPPP, RGRGR, SPLLP, AAPPA, GPAGP, LLAAL, PAQPP, SLGLA, LAPSP, LSPLL, PGPAG, SPSQS, SQSSS, GGRGR, GLPPP, PQGPP, RLRLL, LPPTP, LRSLG, PTLLL, SPSSQ, TPPPS, ALAPS, EGLRA, GPQPP, PEPPT, PLTEP, SSGSP, AASED, APVAP, AVGPP, DDEEL, ESPAR, GAHGG, GPPRL, KKRKR, LTPRP, PALDD, PPPGR, PPQGP, PPQVP, PPTQH, PTLGK, SDEAE, SPLLG, TPHTK, APYPG, ARPPE, ASDRL, CPSLD, DAAAR, EERPP, EGEGD, EGPST, EPRLA, FPDTK, FPEGL, GPLAI, GPWDP, GTQDP, IKVIE, LGLYA, LRLTP, LSPVI, PLLTV, PMSPP, PPTHP, PPVPQ, PQPLM, PQQPM, PSRPQ, QALAP, QEPPP, QTNQA, RGAFG, RPEFV, SDALG, SPVTP, SQTEL, SRVPA, SYTDP, TGSGG, TTPAG KMT2D: Histone-lysine N -methyltransferase 2D 77 78 79
GGGGG, GGGGS, GGGGA, AGGGG, GGSGG, GGGSG, GAGGG, GGAGG, AGAGA, PPPEP, LRALL, LALRA, LTPPS, RALLA, RLLLK, PQAPE, TPLDL, GPETR, RVGADNFKB2: Nuclear factor NF-kappa-B p100 subunit 80 81 82 83
AAAPA, GAAAS, PAPGL, LLGGG, TPSPS, SLPHP, PHLPP, GSPTA, PLTSE, RDSYA, TTLAA, YPGYA, HRDSY, SYPGYPRDM1: PR domain zinc finger protein 1 84
EEEEE, PSPPP, APAAA, SPSPP, PSPSP, SPSPS, PLDLS, DEGEE, LDLSV, LLTPV, PTVSP, KQLLQ, VLDLS, LTPVT, TVSPS, VTEDL, AIEEE, TSEET, PAPTV, TPVTV, EAVSF, FKPPP, SFKPP, NIPQT, YSLRL, PALRD, RSQVK, PFVGDPRDM2: domain zinc finger PR protein 2 85 86 87 88
SSSSA, SPLLP, SSSAP, LSPLL, GTPSG, LQSET, PVSRF, AEGKL, PLRPTSOCS6: Suppressor of cytokine signaling 6 68
KKRKR, AGAAR, LQSLA, TSPTS, RSLLT, LSLVF, AGPSV, DPVHG, GPSVA, QATLG, TQLTQ, DLQDP, LEKQS, PVQGE, QERDV, PKTAS, PLTQP, NIEEF, TPHQP, SHETPTET1: Methylcytosine dioxygenase TET1 89
PPPLP, PPPPS, SPPPP, SSSEE, ELLEK, SASGS, QSSHL, APGGS, LQAPG, KLSSL, PPSQL, APPSQ, HLLQH, QQASV, VTKQE, VTVLT, PPTQH, PVTVL, GIKRTTET2: Methylcytosine dioxygenase TET2 90
PPPPP, LPPPP, PLPPP, PPPLP, PPLPP, PPPPS, GGGRG, APGGG, GLPAP, QPPPQ, PAPGP, PRGPP, PPSSG, SLGLA, LPAPG, LPPVP, PLPPV, PPPSR, GGRPG, PPPGR, DLRSL, VGPLS, PMPPP, SEGLV, SGNGP, ADIGA, DIGAP, GGDQG, PVGPLWASP: Wiskott-Aldrich syndrome protein 91

Human proteins reported by UniProt entry names.

Further references on the function/disease association at www.uniprot.org , OMIM, and PubMed resources.

Table 4

Quantitative pentapeptide matching between immunoreactive EBV epitopes and human proteins related to various cancers and diseases

Pentapeptides: Human proteins sharing pentapeptides with EBV epitopes, and disease involvement c d Refs.
A a B b
3ACHA: Acetylcholine receptor subunit α. MG. 117
7ACHD: Acetylcholine receptor subunit delta. MG. 117
8ACHE: Acetylcholine receptor subunit epsilon. MG. 117
911ACHG: Acetylcholine receptor subunit gamma. MG. 117
3142AGRB1: Adhesion G protein-coupled receptor B1. Inhibits glioma growth. 118 119
15AKA12: A-kinase anchor protein 12. MG autoantigen. Involved in breast cancer. 120
27APC: Adenomatous polyposis coli protein. Relates to colorectal adenomas and breast cancer. 121 122 123
6468APCL: Adenomatous polyposis coli protein 2. Its repression promotes ovarian cancer. 123 124
5768ARI1A: AT-rich interactive domain-containing protein 1A. Bladder, colorectal, endometrial, esophageal, gastric, kidney, liver, lung, ovarian cancers. 108
6892ARI1B: AT-rich interactive domain-containing protein 1B. Liver cancer. 108
33ARID2: AT-rich interactive domain-containing protein 2. Liver, lung, melanoma cancers. 108
23BCOR: BCL-6 corepressor. Tumor suppressor in endometrial cancer and medulloblastoma. 108 125
9C1S: Complement C1s subcomponent precursor. SLE. 126
20CHD4: Chromodomain-helicase-DNA-binding protein 4. Endometrial cancer. 108
3234CHD6. Chromodomain-helicase-DNA-binding protein 6. Bladder cancer. 108
38CHD8: Chromodomain-helicase-DNA-binding protein 8. glioblastoma. 108
10CLAT: Choline O-acetyltransferase. Myasthenic syndrome. 127
17CO4A: Complement C4-A precursor. SLE. 128
2956CO4A1: Collagen α-1(IV) chain. Tumor suppressor; anti-angiogenic. 129
17CO4B: Complement C4-B precursor. SLE. 128
1213CUL7: Cullin-7. 3M syndrome with growth restriction, skeletal abnormalities and dysmorphisms. 130
2526DCC: Netrin receptor DCC. Required for axon guidance. Colorectal cancer suppressor. 131
1666DMBT1: Deleted in malignant brain tumors 1 protein. Suppressed in human lung cancer. 132 133
59DYST: Dystonin. Bullous pemphigoid. 134 135
42FAT4: Protocadherin Fat 4. Involved in hepatocellular carcinoma. and in gastric cancer risk. 136 137
3438FUBP2: Far upstream element-binding protein 2. 138
11IGF1R: Insulin-like growth factor 1 receptor. Intrauterine and postnatal growth retardation. 139
14INSR: Insulin receptor. Insulin resistance syndrome with pineal hyperplasia. 140
13INSR2: Insulin, isoform 2. Diabetes. 141
2731IRS1: Insulin receptor substrate 1. Diabetes. cognitive impairment and Alzheimer's disease. 142
4245IRS2: Insulin receptor substrate 2. Diabetes. cognitive impairment and Alzheimer's disease. 142 143 144
3850IRS4: Insulin receptor substrate 4. Diabetes. cognitive impairment and Alzheimer's disease. 142
20KDM5A: Lysine-specific demethylase 5A. Intellectual disability. Inhibits glioma cells migration. 145 146
2LA: Lupus La protein. SLE. 147
16LRP1B: Low-density lipoprotein receptor-related protein 1B precursor 4599. 148
6MAG: Myelin-associated glycoprotein precursor. MS. 149
4MOG: Myelin-oligodendrocyte glycoprotein precursor. MS. 150
1319MYRF: Myelin regulatory factor. MS. 151
1712MYT1L: Myelin transcription factor 1-like protein. MS. 152
4547NBEL2: Neurobeachin-like protein 2 Role in neutrophil and NK cell function and pathogen defense. 153
27NF1: Neurofibromin. neurofibromatosis. 154
4447NMDE4, Glutamate receptor ionotropic, NMDA 2D. Epileptic encephalopathy. 155
97113Obscurin: Heart disease. 156
2639SMCA4: Transcription activator BRG1. Esophageal, medulloblastoma, lung cancers. 157
62113SRRM2: Serine/arginine repetitive matrix protein 2. Thyroid carcinoma; Parkinson's disease. 158 159
15STA13: StAR-related lipid transfer protein 13. Deleted in liver cancer 2 protein. 160
89TGFB1: Transforming growth factor β-1 proprotein. Lupus nephritis in SLE Patients. 161
250341TITIN: Titin. Myocarditis, acute myocardial ischemia, cardiac arrest. 162
3234TRNK1: TPR and ankyrin repeat-containing protein 1. SLE. Neural development and differentiation. 163
12TSP1: Thrombospondin-1. Inhibits tumor angiogenesis and suppresses tumor growth. 164
24ZAN: Zonadhesin . Crucial role in sperm-zona adhesion. Sterility. 165
40ZEP1: Zinc finger protein 40. Tum or-suppressive effects in prostate and nonsmall cell lung cancer. 166 167

Abbreviations: EBV, Epstein-Barr virus; DNA, deoxyribonucleic acid; MG, myasthenia gravis; MS, multiple sclerosis; SLE, systemic lupus erythematosus.

Column A: number of shared peptides.

Column B: number of shared peptides including multiple occurrences.

Human proteins reported by UniProt entry names. Protein details, sequence, and aa length available at www.uniprot.org .

Further references on the function/associated disease are available at UniProt, OMIM, and PubMed resources.

Human proteins reported by UniProt entry names. Further references on the function/disease association at www.uniprot.org , OMIM, and PubMed resources. Abbreviations: EBV, Epstein-Barr virus; DNA, deoxyribonucleic acid; MG, myasthenia gravis; MS, multiple sclerosis; SLE, systemic lupus erythematosus. Column A: number of shared peptides. Column B: number of shared peptides including multiple occurrences. Human proteins reported by UniProt entry names. Protein details, sequence, and aa length available at www.uniprot.org . Further references on the function/associated disease are available at UniProt, OMIM, and PubMed resources. Also, the intense peptide sharing between immunoreactive EBV epitopes and KMT2C is of relevance. KMT2C not only may act as a tumor suppressor in leukemias and T-cell lymphomas, 75 76 but it is also implicated in bladder, breast, colorectal, endometrial, gastric, head and neck, lung, and liver cancer, and in medulloblastoma. 108 Then, in spite of the lack of space, it is mandatory noting the harmful cross-reactivity platform represented by the peptide commonality between the immunoreactive EBV epitopes and Wiskott-Aldrich syndrome protein (WASP) ( Table 4 ). The 29 pentapeptides shared with EBV epitopes mainly occur throughout the central and COOH regulatory domains of the WASP primary sequence ( Fig. 1 , shared peptides in underlined bold character) and produce a “bull” for the EBV-activated immune system that is practically impossible not to hit. Hitting WASP can lead to lymphomagenesis. Indeed, WASP is a tumor suppressor frequently low or absent in anaplastic large cell lymphoma. 92 WASP deficiency relates to Wiskott-Aldrich syndrome (WAS). 109 110 111 112 WAS is characterized by eczema, thrombocytopenia, recurrent infections, immunodeficiency, neutropenia, and bloody diarrhea. 113 A large proportion of WAS patients develop autoimmunity and allergy since WASP appears to play an important role in the activation of CD4(+)CD25(+)FOXP3(+) natural regulatory T cells. 114 Even in the absence of typical clinical manifestations of WAS, a low expression of WASP associates with the pathogenesis of a subtype of inflammatory bowel disease. 115 Furthermore, deficiency of WASP associates with exacerbated experimental arthritis. 116
Fig. 1

Distribution of EBV epitope-derived peptides throughout WASP primary aa sequence. WASP sequence from Uniprot ( http://www.uniprot.org/) . 51 EBV epitope-derived peptides are underlined and bold marked. EBV, Epstein-Barr virus; WASP, Wiskott-Aldrich syndrome protein.

Distribution of EBV epitope-derived peptides throughout WASP primary aa sequence. WASP sequence from Uniprot ( http://www.uniprot.org/) . 51 EBV epitope-derived peptides are underlined and bold marked. EBV, Epstein-Barr virus; WASP, Wiskott-Aldrich syndrome protein. Overall, the peptide sharing between the immunoreactive EBV epitopes and KMT2D, KMT2C, and WASP proteins suffices to define the constellation of human diseases associated with EBV infection.

The Pathological Implications of the Peptide Sharing between EBV Epitopes and Human Proteins: Various Cancers and Diseases

Table 4 illustrates that the EBV epitope-derived pentapeptides are widespread among the most disparate human proteins able to cause, when altered, a vast spectrum of diseases, from diabetes and sterility to myocarditis and death, 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 the latter two being possibly associated with the Titin imposing peptide sharing (250 shared pentapeptides).

Discussion

We summarize here the vast peptide platform that, with impressive mathematical unexpectedness, connects immunoreactive EBV epitopes and human proteins. Quantitatively, Table 1 shows that the peptide sharing does not obey to any theoretical probability expectations or constraints such as, for example, protein dimension. The case is best illustrated by the far upstream element-binding protein 2 (FUBP2; 711 aa) and the low-density lipoprotein receptor-related protein 1B (LRP1B; 4,599 aa). FUBP2 has 34 pentapeptides in common with the herpesviral proteome, whereas the much longer LRP1B shares 16 pentapeptides ( Table 4 ). That is, a high number of shared pentapeptides can be found in a protein irrespective of the protein length. Pathologically, the peptide sharing between the immunoreactive EBV epitopes and the human proteome implies the possibility of cross-reactions and of a consequent wide spectrum of diseases, from lymphomas and leukemias to diabetes and spermatogenesis ( Tables 3 and 4 ). From this point of view, Tables 3 and 4 offer a scientific explanation of the clinical fact that EBV infection can trigger so many and so various diseases in so different and distant parts of the body. Moreover, given the number of human proteins involved in the sharing, the possibility of cross-reacting with a specific protein or group of proteins and inducing a specific disease or group of diseases will depend on the “when and where” the disease-associated protein(s) will be expressed. Consequently, the EBV diseasome will manifest with different diseases depending on the age of the subjects and on the immunological imprinting by previous pathogen infections, 168 thus explaining also why, once the immune system has been activated by EBV, some subjects will develop a lymphoma while other subjects contract diabetes or lupus or will die. Immunologically, the vast peptide sharing between immunoreactive EBV epitopes and human proteins fails to support the theory of microbial or of human immunological specificity and nullifies the current concept of self-tolerance. Indeed, it was advanced in the “50s and still persists today the Burnet's hypothesis according to which self-tolerance is achieved by the so-called negative selection” of self-reactive lymphocytes. 169 170 171 That is, lymphocytes with specificity for peptide sequences that are expressed in the human host are hypothesized to be deleted from the immunological repertoire during fetal or early life to avoid self-reactivity and the consequent autoimmunity. Clearly, such a hypothesis breaks down in front of the pervasive peptide overlap between immunoreactive EBV epitopes and human proteins. If the “negative selection” assumptions were true, the self-reactive lymphocytes targeting the experimentally validated EBV epitopes described here and almost exclusively composed by peptides common to human proteins would have had to be eliminated from the immunological repertoire in the fetal life. It seems that the postulated deletion of potentially self-reactive lymphocytes did not occur. Similar results have been obtained analyzing hepatitis C virus and human papillomavirus immunoreactive epitopes. 172 173 Altogether, our data indicate that potentially self-reactive lymphocytes are regularly produced by the immune system. It seems that the immune system, under physiological conditions, does not engage reactions with self-proteins or pathogens just in virtue of their peptide commonality. As already discussed, 174 175 176 it seems that it is just the vast peptide commonality to confer or, better, to reify protein immunotolerance. As a collateral note, we observe that, while Tables 1 and 2 militate against the assumption of a “negative selection” of self-reactive lymphocytes, Tables 3 and 4 also question the defensive role of the immune response. By definition, immune system attacks pathogenic enemies and protects self-entities. That is, it is assumed that the immune system is endowed with the capacity of discerning a pathogen antigen from a self-protein and of behaving consequentially by attacking the “foes” and defending the “friends.” Instead of being analyzed and defined as an aggregate of molecules organized into functional biological pathways, the immune system is considered as a “thinking entity” that sees, discriminates, decides, and then attacks. Against such an anthropomorphous view, the present mathematical and biochemical data document that pathogenic immune responses can routinely occur following infections, as already experimentally demonstrated. 177 178 Pathogenic autoantibodies—that are usually considered as rare phenomena due to the so-called “immunological holes” deriving from an incomplete negative selection of the self-reactive lymphocytes 169 170 171 or that, even, have been denied as pure fantasies 179 —seem to be the rule. Tables 3 and 4 show that anti-EBV immunoreactivity can hit a myriad of human proteins that, when (epi)genetically altered, can lead to cancers, autoimmune diseases, and even death. Such cross-reactive potential explains why higher the anti-EBV IgG antibody titer, worse may be the disease prognosis and faster the disease progression as described by a continuum of reports since the 1970s. 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 That is, autoimmunity is not a matter of “rare immunological holes,” but it is intrinsic to the immune response that involves most of the human proteome by being most of the human proteome shared with microbial entities as a result of a long evolutionary path that from viruses and bacteria led to the eukaryotic cell. 180 In conclusion, this study highlights the necessity of reviewing the hypothesis of the “negative selection” of self-reactive lymphocytes and, at the same time, emphasizes the importance of the “peptide uniqueness” concept to develop immunotherapies against EBV infection, and infections in general. Only immunotherapies based on peptides uniquely owned by the infectious agents would offer high specificity as well as the advantage of a lack of adverse events in the human host. 39 181 182 183
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