Original article
Genomic answers for recurrent spontaneous abortion in Saudi Arabia:
An array comparative genomic hybridization approach
$Sajjad Karim
a,*, Hasan Salleh Jamal
b, Abdullraheem Rouzi
b,
Mohammed Salleh M. Ardawi
c, Hans-Juergen Schulten
a, Zeenat Mirza
d,
Nuha A. Alansari
a, Maha M. Al-Quaiti
a, Heba Abusamra
a, Muhammad Imran Naseer
a, Rola Turki
b,e, Adeel Gulzar Chaudhary
a, Mamdooh Gari
a,
Adel Mohammed Abuzenadah
a,e, Mohammed Hussain Al-Qhatani
a,*
aCenterofExcellenceinGenomicMedicineResearch,FacultyofAppliedMedicalSciences,KingAbdulazizUniversity,Jeddah,SaudiArabia
bDepartmentofGynecology,FacultyofMedicine,KingAbdulazizUniversity,Jeddah,SaudiArabia
cCenterofExcellenceforOsteoporosisResearch,FacultyofMedicine,KingAbdulazizUniversity,POBoxNo.80216,Jeddah21589,SaudiArabia
dKingFahdMedicalResearchCenter,KingAbdulazizUniversity,Jeddah,SaudiArabia
eKACSTInnovationCenterforPersonalizedMedicine,KingAbdulazizUniversity,Jeddah,SaudiArabia
ARTICLE INFO Articlehistory:
Received4November2016
Receivedinrevisedform14March2017 Accepted17March2017
Availableonlinexxx Keywords:
Recurrentspontaneousabortion Array-CGH
Microarray Cytogenetics SaudiArabia
ABSTRACT
Tostudythegenomics/geneticfactorsassociatedwithrecurrentspontaneousabortion(RSA),as50%of RSAareunexplained.However,chromosomeabnormalitieshavebeenreportedtoplaymajorroleinRSA.
Weperformedwholegenomearray-CGHbasedgenomicanalysisoffortyfourSaudiRSApatientsto identifypotentialmolecularandchromosomalabnormalities.Weidentifiedatotalof845alterations, usuallynotdetectedbyclassiccytogeneticmethods,indifferentgenomicregionsusingacutoffvalueof 0.25and0.25forstructurallossandgain,whereas 1.0and0.58wereusedforsinglecopynumber deletion and duplication respectively.We identified frequent(present at leastin 10% of patients) alterationsincluding threemacro-alterationat8p23.1,10q11.21-q11.22and15q11.2aswellaslarge numbers ofmicro-deletions/amplifications withaffected genesincluding 22q11.23 (GSTT1),3p22.2 (CTDSPL),6p21.32(HLA),and8p22(MSR1).PathwayanalysisofgeneslocatedindetectedCNVsregions revealedtheallograftrejectionsignaling,IL-4signaling,andautoimmunethyroiddiseasesignalingasthe mostsignificantcanonicalpathwaysassociatedwithRSA.WholegenomearrayCGHtechniquecanbe used toidentifypotential genes,biofunctionsand chromosomalabnormalities associatedwithRSA whichissupportedbyourfindingsofanumberofnovelCNVs/genes(22q11.23/GSTT1,3p22.2/CTDSPL, 6p21.32/HLA,8p22/MSR1,and14q32.33/AKT1)andpathwaysinpatientsaffectedwithRSA.Toimprove diagnosisandtreatmentofRSA,acomprehensiveprocedureisneededforidentificationandvalidationof causativegenes.
©2017PublishedbyElsevierSp.zo.o.onbehalfofSocietyforBiologyofReproduction&theInstituteof AnimalReproductionandFoodResearchofPolishAcademyofSciencesinOlsztyn.
1.Introduction
Human reproductionis a remarkably inefficient process and morethan50%ofallpregnanciesgetabortedbeforetheirclinical recognition [1,2] and up to 3% of couples face recurrent spontaneous abortion (RSA) (3 subsequent pregnancy losses before 22nd weeks of gestation) leading to psychical stress, disappointments,andinadequacyofaffectedcouple[3–8].Ithas beenreportedthatabout15%ofclinicallyrecognizedpregnancies terminatespontaneouslyintheirfirsttrimester[9–11].RSAmight beassociated withearly arrestof celldivision,orearly embryo implantationfailurebeforeitsestablishment[12–14].Althougha Abbreviations:RSA,recurrentspontaneousabortion;CGH,comparativegeno-
michybridization; CNVs,copynumber variations; IL,interleukin; SNP,single nucleotidepolymorphism;bp,basepair;GO,geneontology;HLA,humanleukocyte antigen;Th1,T-helper1;Th2,T-helper2;GSTT1,glutathioneS-transferasetheta1;
CTDSPL, CTD small phosphatase-like protein; MSR1, macrophage scavenger receptor;DGV,databaseofgenomicsvariation.
$ Wholegenomearray-CGHtechniquehaspotentialtoidentifymolecularand chromosomal abnormalities associated with recurrent spontaneous abortion complications and improve the diagnoses and treatment after validation of causativegenes.
* Correspondingauthorsat:CenterofExcellenceinGenomicMedicineResearch, KingAbdulazizUniversity,POBOX80216,Jeddah21589,SaudiArabia.
E-mailaddresses:[email protected](S.Karim),[email protected] (M.H.Al-Qhatani).
http://dx.doi.org/10.1016/j.repbio.2017.03.003
1642-431X/©2017PublishedbyElsevierSp.zo.o.onbehalfofSocietyforBiologyofReproduction&theInstituteofAnimalReproductionandFoodResearchofPolish AcademyofSciencesinOlsztyn.
xxx–xxx ContentslistsavailableatScienceDirect
Reproductive Biology
j o u r n a lh o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / r e p b i o
numberofRSArisk factorslikeuterine anatomicabnormalities, immunologic factors, endocrine abnormalities, maternal age, hormonal disorders, infections, environmental factors, sperm qualityand thrombophilic disorders are known, still in around 50%ofpatientsetiologyofRSAremainsunidentified[4,15–17].In view of this, detection of genetic abnormalities involved in molecularpathogenesis ofRSAis mandatorytohelpexplaining unknowncausesofrecurrentpregnancyloss.
Contribution of thegenetic predisposition and chromosome abnormalitiestoRSA iswellreportedand classicalcytogenetics techniqueisroutinelyusedtodetectchromosomalabnormalities.
However, it suffers from limitations such as low resolution, frequentfailure of cell culture,contamination of maternalcell, poor chromosome morphology, and is a time consuming procedures[18–21].Fluorescence in situ hybridization(FISH) is another technique that can be used to confirm chromosomal abnormalitiesthat areclinicallysuspected,however, thesescan notbeusedforhithertounknownanomalies.Additionally,single nucleotidepolymorphisms(SNP)basedstudieshavealsoreported morethanhundredRSAcandidategenesthoughwithconflicting results [22–24]. More recently, genetic, epigenetic and gene expressionprofilinghavebeenapplied toidentifychromosome abnormalities associated with RSA [25–28]. Array-comparative genomichybridization(array-CGH)techniquecandetectsubmi- croscopic(microdeletions and microduplications) chromosomal aberrations,withouttheneedtoinitiatecellcultures[29,30].
Inthecurrentgenome-widestudy,weperformedhigh-density arrayCGHanalysistodefinegenomicalterationpatternsand to understandtheroleofCNVsinpredisposingtoRSAamongcouples sufferingfromunexplainedRSAresidinginSaudiArabia.Ourmajor finding wasidentificationof 845genomicalterations,including frequentCNVin3p22.2(CTDSPL),6p21.23(HLA),8p22(MSR1)and 22q11.23(GSTT1)thatintheunaffectedstatusmightbeassociated withhealthypregnancymaintenance.
2.Materialsandmethods 2.1.Patientsandsamples
FortyfourcasesofRSA(16couplesand12mothersonly)were includedinpresentcytogeneticandarrayCGHbasedstudy.The studywasapprovedbyKingAbdulazizUniversitylocalBioethics CommitteeandbytheCEGMRethicalcommittee(No.09-CEGMR- ETH-01).Informedconsentwastakenfromallsubjectsincludedin thepresentstudy.
2.2.Cytogeneticmethods
A standard 72-h lymphocyte culture and GTG banding (G bandingbyTrypsinand Giemsa) wascarried out inmetaphase chromosomes of RSA cases from King Abdulaziz University Hospital,Jeddah.Microscopicexaminationsweredoneinatleast 20metaphasesforeachpatient.Incasewithsuspectedmosaicism, thisnumberwasexpandedtoonehundredmetaphases.Chromo- someswereanalyzedbyusingasemi-automaticappliedimaging karyotyper and karyotyping software (Applied Imaging, Santa Clara, CA) and International System for Human Cytogenomic Nomenclature(ISCN,2013)wasusedtodescribekaryotypes[31].
2.3.Arraycomparativegenomichybridizationprofiling
Thearray-CGHanalysiswasperformedaspermanufacturer’s protocolusingAgilentsureprintG3HumanCGH2400Karrays, Agilentlabelingkit(AgilentTechnologies,USA).
(i) DNA Preparation: Genomic DNA was extracted from peripheral blood using QIAamp DNA blood mini kit (Qiagen,
USA), and was quantified by using a NanoDrop ND-1000 Spectrophotometer. (ii) Genomic DNA Fragmentation: Patients DNA(500ng)andreferenceDNA(Promega,USA)fromthesame sexweredigestedat37CbyRsaIandAluI(Promega,USA)for2h.
ThereferenceDNAwasheat-fragmentedfor10minat95C.(iii) Fluorescent Labeling, Purification and Hybridization: Patient and reference DNA were labeled with Cy5-dUTP and Cy3-dUTP respectively. Labeled samples werepurified by using Microcon YM-30filterunits(Millipore,Billerica,Massachusetts,USA).Cot-1 DNA(Invitrogen,Carlsbad,California, USA),hybridizationbuffer andblockingagentweremixedwithlabeledDNAanddenaturation wasperformedat95C beforehybridizationat65C for40hat 20rpm.(iv)MicroarrayWashing,ScanningandFeatureExtraction:
Firstly microarray slides and gaskets were disassembled and washedfor10mininwashbuffer1(Agilent,cat#5188–5221),then were shifted to wash buffer 2 (Agilent, cat# 5188–5222) and agitatedat37Cfor2–3min.Slideswerewashedwithanhydrous acetonitrile. Chip scanning, image analysis and data extraction wereperformedonan Agilent Scanner(G2505C),and Agilent’s Feature Extraction software (V.1.5.1.0) respectively. (v) Data Analysis: Array CGH profiling was done using Agilent CytoGe- nomicsv2.7softwaretovisualize,detectandanalyzeaberrations.
All detected alterations were identified by using log2 ratiofor diploidcases-test(cy5)/reference(cy3)ratio(2n:2n)isequalto1 on linear scale but 0.0 on log2 scale respectively, however for multiple cases the standard deviation of log2 ratios in an oligonucleotidearrayisontheorderof0.25,i.eanythingbeyond 0.00.25 is considered gain (+0.25) or loss (-0.25). Thus, quantitativelossorgainincopynumberweredetectedbyshift values in the log2 ratio from zero. One set copy number gain (3n:2n)orloss(1n:2n)wasmeasuredbybothlinearscale(1.5and 0.5)andlog2scale(+0.58and 1)respectively.
2.4.Functionalenrichmentanalysis
Wederivedthegenessymbol,p-valueandfoldchangevalues fromalteredchromosomallocusanduploadedthesedataintothe Ingenuity Pathways Analysis software(Ingenuity Systems,Red- woodCity,CA,USA;IPAhttp://www.ingenuity.com/).TheIngenu- ityPathwaysKnowledgeBase,whichisalargenetworkdatabaseof curated molecular interactions and pathways, was used to generate gene maps of interest in order toidentify significant biological associations including, interaction and functional framework.Networksorsub-networkswerepresentedgraphically using direct and indirect molecular relationships. The gene ontologymethodpredictedthesignificanceofoverrepresentation of biological processes, byassesingthe number of significantly associatedgeneinrelationtothecuratedbackgroundgenes.The impactof the linkbetweenthe aberration/expressiondataand canonicalpathwayswerecomputedbyusingBenjamini-corrected modifiedFisher’sexacttestandestimatedbypvalues(significance
<0.05).
3.Results
3.1.Cytogeneticstudy
We report the chromosomal analysis of the 44 recurrent spontaneousabortionpatients.Theageofthesubjectsrangedfrom 24to48years(meanage32.17)andthenumberofabortionsper couplevariedfrom3to15(mean4.22).Mostofthedocumented pregnanciesinthiscohort,gotterminatedintheirfirsttrimester (79.50%)followedbysecond(16%)andthird(4.5%)trimester.Fifty seven percent of RSA patients were able to achieve viable pregnancieswithatleastonelivebirthswhereasremaining43%
hadtwoormultiplepregnancyterminationexperienceswithout xxx–xxx
Table1
Clinicopathologicalinformationandcytogeneticresultsoffortyfourrecurrentspontaneousabortioncases-sevencoupleshadconsanguineousmarriageandthreehadfamily historyofrecurrentabortion.
PatientNo BiobankNo Age ClinicalHistory Sex Preg Misc Trim Rel Family History
Nation Cytogeneticresults
RSA1 BL-0588-11 28 RecurrentAbortion F 3 3 1 Yes Yes Saudi 46,XX,rob(13:14)
RSA2 BL-0589-11 37 RecurrentAbortion F 7 4 1 Yes Yes Saudi 46,XX
RSA3 BL-0590-11 39 Hus,RA589 M 7 4 1 Yes Normal Saudi 46,XY
RSA4 BL-0609- 12
29 RecurrentAbortion&
Thrombophilia
F 5 4 3 Yes Normal Saudi 46,XX
RSA5 BL-0614-12 37 RecurrentAbortion&
Thrombophilia
F 3 3 1 No Normal Saudi 46,XX
RSA6 BL-0806-11 35 RecurrentabortionandIVPD. F 11 8 1 No Normal Saudi 46,XX
RSA7 BL-0817-11 28 RecurrentAbortion F 6 6 1 No Normal Saudi 46,XX
RSA8 BL-0824-11 34 RecurrentAbortion F 3 3 1 No Normal Saudi 46,XX
RSA9 BL-0841-11 40 Recurrentabortion F 9 9 1 No Normal Saudi 46,XX
RSA10 BL-0878-11 33 Hus,RA M 6 4 1 No Normal Palestinian 46,XY,t(11;22)(q23;q11)
RSA11 BL-0937-11 32 Recurrentabortion F 3 3 1 No Normal Indian 46,XX
RSA12 BL-0938-11 36 Hus,RA938 M 3 3 1 No Normal Indian 46,XY
RSA13 BL-0990- 09D
36 Hus,RA991 M 10 6 1 Yes Normal Saudi 46,XY
RSA14 BL-0991- 09D
36 RecurrentAbortion F 10 6 1 Yes Normal Saudi 46,XX
RSA15 BL-1024-11 45 Recurrentabortion(hormone therapy)
F 15 15 1 No Normal Saudi 46,XX
RSA16 BL-1099- 13D
21 RecurrentAbortion&
Thrombophilia
F 6 6 1 No Normal Saudi 46,XX
RSA17 BL-1106- 10D
42 Hus,RA1107 M 12 11 1 No Normal Egyptian 46,XY
RSA18 BL-1111- 11D
31 Hus,RA1113 M 3 3 1 Yes Normal Saudi 46,XY
RSA19 BL-1113- 11D
30 RecurrentAbortion&
Thrombophilia
F 3 3 1 Yes Normal Saudi 46,XX
RSA20 BL-1562- 10D
31 RecurrentAbortion F 6 5 1 No Normal Saudi 46,XX
RSA21 BL-1640- 10D
34 RecurrentAbortion&FS F 4 4 1&
2
Yes Normal Saudi 46,XX[96]/45,X[2]/37-42,XX,-X,t(7;14) (q34;p10)
RSA22 BL-1659- 10D
43 RecurrentAbortion F 6 4 1 Yes Normal Eritrean 46,XX
RSA23 BL-1660- 10D
48 Hus,RA1659 M 6 4 1 Yes Normal Eritrean 46,XY
RSA24 BL-1757- 10D
35 RecurrentAbortion F 3 3 1&
2
No Normal Saudi 46,XX
RSA25 BL-1758- 10D
36 Hus,RA1757 M 3 3 1&
2
No Normal Saudi 46,XY
RSA26 BL-1784- 10D
41 RecurrentAbortion F 5 5 2&
3
No Normal Saudi 46,XX
RSA27 BL-1814- 10D
25 RecurrentAbortion F 4 4 1 No Normal Saudi 46,XX
RSA28 BL-1833- 10D
43 RecurrentAbortion F 4 3 1 No Normal Saudi 46,XX
RSA29 BL-1834- 10D
41 Hus,RA1833 M 4 3 1 No Normal Saudi 46,XY
RSA30 BL-1865- 10D
39 Hus,RA1949 M 7 4 2 Yes Normal Saudi 46,XY
RSA31 BL-1898- 10D
37 RecurrentAbortion F 7 5 1 Yes Yes Yemeni 46,XX
RSA32 BL-1899- 10D
39 Hus,RA1898 M 7 5 1 Yes Normal Yemeni 46,XY
RSA33 BL-1917- 10D
28 RecurrentAbortion F 4 3 1 Yes Yes Saudi 46,XX
RSA34 BL-1927- 10D
40 Hus,RA1928 M 5 3 2 Yes Normal Saudi 46,XY
RSA35 BL-1928- 10D
32 RecurrentAbortion F 5 3 2 Yes Normal Saudi 46,XX
RSA36 BL-1949- 10D
31 RecurrentAbortion F 7 4 2 Yes Normal Saudi 46,XX
RSA37 BL-2010- 10D
29 RecurrentAbortion F 9 6 1 Yes Normal Yemeni 46,XX
RSA38 BL-2051- 10D
39 RecurrentAbortion F 7 6 1 No Normal Saudi 46,XX
RSA39 BL-2082- 10D
29 Hus,RA2084 M 3 3 1‘ No Normal Saudi 46,XY
RSA40 BL-2084- 10D
33 RecurrentAbortion F 3 3 1‘ No Yes Saudi 46,XX
RSA41 BL-2363- 10D
37 Hus,RA M 4 4 1 No Normal Egyptian 46,XY
RSA42 BL-2842- 10D
27 Hus,RA M 5 4 1 No Normal Yemeni 46,XY
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livebirth.PatientswereconsideredasRSAcaseswhentheyfailed to complete pregnancies and had experienced spontaneous abortionfor at least three times. Therewere 70.5% cases with upto5abortionsand29.5%patientswithmorethan5abortions.
SevencouplehadconsanguineousmarriageandthreeRSApatients hadfamilyhistoryofrecurrentabortion.Therewerethreecases with chromosomal abnormalities: 46,XX rob(13:14), 46,XY, t (11;22)q23;q11) and 46,XX/45,X/37-42,X/37XX,t(7;14)(q34;p10) [31][Table1][Fig.S1].
3.2.ArrayCGHstudy
Weidentifiedinthecohortof44RSApatientsmorethan845 alterations,rarelyseenbyclassiccytogeneticmethods,indifferent genomicregionsusingacutoffvalue0.25forstructuralgainor loss, 1.0and0.58forsinglecopynumberdeletionorduplication.
Wedetectedthreemacro-and33micro-alterationsconsistingof 25gainsand11lossesinmorethan10%ofthecases.Thethree macro-alterationwerelocatedat8p23.1[Fig.1],10q11.21-q11.22, and15q11.2 [Fig.2]. Theamplifiedregions of15q11.2 harbored following genes BCL8, GOLGA6L6, GOLGA8C, LOC646214, LOC646396, CXADRP2, POTEB, NF1P1, LOC727924, OR4M2, OR4N4andOR4N3P.The33micro-deletions/amplificationswere locatedat1q21.3(affectedgene,LCE3C),1q24.2(NME7),3p22.2 (CTDSPL), 4q13.2 (UGT2B17), 6p21.32 (HLA-DRB5,HLA-DRB6), 7p15.2 (SKAP2), 7p14.1(TARP), 7q34 (MGAM, PRSS1, PRSS2, MTRNR2L6, TRY6), 8p23.2 (CSMD1), 8p22 (MSR1), 8p11.23 p11.22 (ADAM5P, ADAM3A), 10q11.22 (PPYR1, GPRIN2), 11q11 (OR4C11, OR4P4, OR4S2, OR4C6), 12p13.2 (PRH1, TAS2R46, TAS2R43, PRR4), 14q11.1-q11.2 (OR11H12, POTEG, POTEM, OR4Q3, OR4M1, OR4N2, OR4K2, OR4K5, OR4K1) [Fig. 3], 14q32.33 (KIAA0125, ADAM6, NCRNA00226), 20p13 (SIRPB1), 22q11.22 (MIR650, IGLL5), and 22q11.23 (LOC391322, GSTT1, GSTTP2)[Table2][32–34].Themostcommongainswereobserved at14q32.33(77%),followedby15q11.2(68%),14q11.1-11.2(57%), 8p11.23-22(55%)and22q11.23(52%),whilemostcommonlosses were observed at 20p13 (47%) and 1q24.2 (39%). Our result indicatescorrelationbetweennumberofCNVsandmiscarriagesas wefoundaverageCNVsof10.6,11.75,12.5,11.5and14for3,4,5,6 and>7miscarriagesrespectively.Furthermore,wecategorizedthe samplesbasedonthenumberofmiscarriagestothreegroups;3, 4–6, and >=7 and found direct associations of number of alterationswithincreasingnumbersofmiscarriages[Fig.4].
3.3.Pathwayanalysis
PathwayanalysisofgeneslocatedonCNVsrevealedanumber ofcanonicalpathwayssignificantlyassociatedwithRSA[Table3]
whichwereIL-4signaling,Bcelldevelopment,CD28signalinginT helpercells,antigenpresentationpathway,autoimmunethyroid disease signaling, allograft rejection signaling, role of NFAT in regulationoftheimmuneresponse,IL-17Asignalinginairwaycells and calcium-induced T lymphocyte apoptosis. Further analysis revealedsignificantfunctionalannotationsincludingrelaxationof uterus,bindingof oocytes,and adhesionofgranulosacells that mightbeplayingacriticalroleinpregnancy[Table4].
4.Discussion
To investigate the proportion of chromosome aberrations among RSA patients, many cytogenetic studies have been conducted,indicatingvariablefrequencyofchromosomeaberra- tions ranging between approximately 3–13%, [35–41] and our cytogenetics analysis also identified around 12% chromosome aberrationsinapproximately300recurrentabortionpatients[42].
However, the present array CGH study with 44 RSA patients Table1(Continued)
PatientNo BiobankNo Age ClinicalHistory Sex Preg Misc Trim Rel Family History
Nation Cytogeneticresults
RSA43 BL-2868- 10M
46 Hus,RA2871 M 7 7 1 No Normal Saudi 46,XY
RSA44 BL-2871- 10F
43 RecurrentAbortion F 7 7 1 No No Saudi 46,XX
ListofAbbreviations:M:male;F:female;Hus:Husband,RA:Recurrentabortion;Preg:Pregnancy,Misc:Miscarriage;Trim:Trimester;Rel:Relative;Nation:Nationality.
Fig. 1.Whole genome 2400K oligonucleotide-based microarray analysis showingfrequentalterations(amp/del)inchromosome8(8p23.1=del,8p22=amp, 8p11.23=amp)ofrecurrentspontaneousabortionpatients.Lossorgainincopy numberisdetectedbyshift(0.25)inlog2ratiofromzero(zerovalueindicates equalfluorescenceintensityratiobetweenthesampleandreference).Theleftward shiftedratio(red)indicatesloss,whereasrightshiftedratio(blue)indicatesgain.
(Forinterpretationofthereferencestocolourinthisfigurelegend,thereaderis referredtothewebversionofthisarticle.)
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Fig.2.Wholegenome2400Koligonucleotide-basedmicroarrayanalysisofthe15q11.2regionthatwasamplifiedin68%ofrecurrentspontaneousabortioncasesand includeBCL8,GOLGA6L6,GOLGA8C,LOC646214,LOC646396,CXADRP2,POTEB,NF1P1,LOC727924,OR4M2,OR4N4andOR4N3P.Lossorgainincopynumberisdetectedby shift(0.25)inlog2ratiofromzero(zerovalueindicatesequalfluorescenceintensityratiobetweenthesampleandreference).Theleftwardshiftedratio(red)indicatesloss, whereastherightshiftedratio(blue)indicatesgain.Theleft-upperwindowshowschromosomalview,right-upperwindowshowsgeneviewandlowerwindowshows detailsofalterationincludingalteredchromosomenumber,startandstopregion,size(bp),probenumber,genenameandtypeofalteration(amp/del).(Forinterpretationof thereferencestocolourinthisfigurelegend,thereaderisreferredtothewebversionofthisarticle.)
xxx–xxx
detected845geneticalterationsthatwereinthevastmajoritynot seen by classical cytogenetic techniques applied routinely. We cross checked the detected CNVs with database of genomics variation(DGV)forhealthycontrolstoavoidcommonvariantsin absenceofethniccontrol,andfound257non-overlapCNVs.Inthis
study, we have performed array-CGH, a molecular cytogenetic technique, to address the effect of CNVs and contribution of associated genestobetterunderstandmolecularmechanismof RSA.Array-CGHis ahighlysensitive methodtodetecttheDNA copy number gains and losses across the whole genome at Fig.3. Wholegenome2400Koligonucleotide-basedmicroarrayanalysisdetectedamplificationofthe14q11.1-q11.2regionin57%ofRSApatients.Theregionincludes POTEM,OR4Q3,OR4M1,OR4K2,OR4K5,andOR4K1.Lossorgainincopynumberisdetectedbyshift(0.25)inlog2ratiofromzero(zerovalueindicatesequalfluorescence intensityratiobetweenthesampleandreference).Theleftwardshiftedratio(red)indicatesloss,whereastherightshiftedratio(blue)indicatesgain.Theleft-upperwindow showschromosomalview,right-upperwindowshowsgeneviewandlowerwindowshowsdetailsofalterationincludingalteredchromosomenumber,startandstopregion, size(bp),probenumber,genenameandtypeofalteration(amp/del).(Forinterpretationofthereferencestocolourinthisfigurelegend,thereaderisreferredtotheweb versionofthisarticle.)
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Table2
FrequentlypresentchromosomalabnormalitiesinrecurrentspontaneousabortionpatientsdetectedbyarrayCGHandcomparisonwithrelatedstudyanddatabase.
Chromosome Cyto- band
CNVs probe Change p-
value
Frequency Genes
Start-Stop (bp)
size(bp) Our
Data
Nagarnajaetal Migita O, etal.,
DGV
No % Control
%
RM cases
% RM cases%
Control
chr14 q32.33 105403001–
105988274
585,274 11 Amp 2.47E- 43
34 77 – 9 8 U KIAA0125,ADAM6,NCRNA00226
chr15 q11.2 18741716–
20079994
1338279 80 Amp 2.94E- 44
30 68 18 13 – U BCL8,GOLGA6L6,GOLGA8C,LOC646214, CXADRP2,POTEB,NF1P1,LOC727924,OR4M2, OR4N4,OR4N3P,LOC646396
chr14 q11.1–
q11.2
18446762–
19490689
1043928 35 Amp 4.75E- 22
25 57 3 6 – U OR11H12,POTEG,POTEM,OR4Q3,OR4M1, OR4N2,OR4K2,OR4K5,OR4K1
chr8 p11.23–
p11.22
39354149–
39505315
151167 9 Amp 1.04E- 15
24 55 51 58 3 U ADAM5P,ADAM3A
chr22 q11.23 22677959–
22725353
47395 10 Amp 2.71E-
16
23 52 – – – U LOC391322,GSTT1,GSTTP2
chr20 p13 1511715–
1532485
20771 6 Del 5.66E-
24
21 47 – – – * SIRPB1
chr8 p22 15996382–
16069666
73,285 5 Amp 1.66E-
28
18 41 – – – U MSR1
chr22 q11.22 21380410–
21575888
195479 8 Amp 1.04E-
15
18 41 – – – U MIR650,IGLL5
chr1 q24.2 167493768–
167507957
14190 5 Del 1.57E-
12
17 39 – – – U NME7
chr3 p22.2 37955930–
37961169
5240 3 Amp 1.17E-
34
17 39 – 4 – * CTDSPL
chr4 q13.2 69069651–
69165872
96222 12 Amp 1.23E- 25
17 39 18 11 – U UGT2B17
chr12 p13.2 11109511–
11147734
38224 8 Amp 4.82E–
19
16 36 – – – U PRR4,PRH1,TAS2R43
chr7 p14.1 38262701–
38349092
86392 18 Del 9.89E-
27
16 36 – – U TARP
chr1 q21.3 150836481–
150848568
12088 5 Del 5.25E-
32
15 34 – – – U LCE3C
chr14 q24.3 73075500–
73092077
16578 3 Amp 6.42E-
32
15 34 – – – U HEATR4,ACOT1
chr6 p21.32 32558677–
32613597
54921 9 Amp 1.51E-
29
15 34 29 13 0 U HLA-DRB5
chr17 q21.31 41570512–
41706929
136418 17 Amp 3.17E- 11
14 31 – – – U KIAA1267
chr7 p15.2 26855104–
26903240
48137 9 Amp 2.58E-
22
14 31 – – U SKAP2
chr7 q34 141408013–
141438563
30551 7 Amp 2.55E-
14
14 31 – 2 – U MGAM
chr22 q11.21 18073135–
18691763
618629 159 Amp 1.44E- 22
13 29 – – – U SEPT5,GP1BB,TBX1,GNB1L,TXNRD2,COMT, ARVCF,DGCR8,TRMT2A,ZDHHC8,RTN4R, DGCR6L,C22orf29,C22orf25,MIR185, MIR1306,RANBP1,LOC150197,MIR1286
chr8 p23.1 7156900–
7790993
634094 8 Del 4.83E-
13
13 29 7 – 0 U DEFB103A,FAM90A7,FAM90A14,FAM90A13, FAM90A19,FAM90A18,FAM90A8,FAM90A9, FAM90A10,FAM66B,DEFB109P1B,ZNF705G, DEFB103B,SPAG11B,DEFB104A,DEFB104B, DEFB106A,DEFB106B,DEFB105A,DEFB105B, DEFB107A,DEFB107B,SPAG11A,DEFB4A chr10 q11.21
q11.22
45478162–
47172593
1694432 57 Amp 1.70E- 41
12 27 – – 2 U SYT15,PPYR1,ANXA8,ANUBL1,FAM21C, AGAP4,PTPN20B,PTPN20A,FRMPD2L1, BMS1P5,BMS1P1,FAM35B,GPRIN2, LOC643650,LOC728643,ANXA8L1,FAM25G, FAM25C,FAM25B,AGAP9,LOC642826, FAM35B2,ANTXRL
chr22 q11.21 18506870–
19117997
611128 61 Amp 3.10E- 11
11 25 – – 0 U ZDHHC8,RTN4R,DGCR6L,RIMBP3,ZNF74, LOC150197,MIR1286,PI4KAP1,SCARF2
chr11 q11 55124730–
55207364
82635 16 Del 1.46E- 22
10 23 29 16 U OR4C11,OR4P4,OR4S2,OR4C6
chr16 p13.3 511780–
1382861
871082 164 Del 6.24E- 18
10 23 – 2 12 U RAB11FIP3,SOLH,WFIKKN1,
chr9 q34.3 138520642–
139278330
757689 155 Amp 6.05E- 10
10 23 – 2 3 U NOTCH1,MIR126,AGPAT2,LCN10,LCN6,LCN8, C9orf86,PHPT1,C8G,LCN12,PTGDS,CLIC3, ABCA2,FUT7,NPDC1,ENTPD2,C9orf140, GRIN1,ANAPC2,SSNA1,SLC34A3,COBRA1, EGFL7,FAM69B,SNHG7,SNORA43,SNORA17, LOC100128593,LCN15,TMEM141,KIAA1984, LOC100131193,C9orf172,MAMDC4,EDF1, TRAF2,FBXW5,LCNL1,C9orf142,C9orf139, xxx–xxx
submicroscopiclevelof5–10Kbresolutionwhichallowstoidentify affectedgenesinthespecificregions.MultipleCNVsand/orCNVs oflargersizemayincreasethelikelihoodofalteringkeycandidate genesorpathwaysinvolvedinearlypregnancymaintenanceand leadingtowardsRSA[43,44].Thegenome-wideprofilingofCNVs andtheircorrespondinggenesrevealedrelatedpathwaysinclud- ing IL-4 signaling, Bcell development, antigen presentation pathway,autoimmunethyroiddiseasesignaling,IL-17Asignaling inairwaycellsandallograftrejectionsignalingpathway/interac- tion.Wereport35mostfrequentCNVsofchromosomalregions
disruptingCTDSPL,GSTT1,AKT1,HLA,andMSR1genesthatmight beassociatedwithearlypregnancymaintenance[45–57].
WefoundamplificationinCTDsmallphosphatase-likeprotein (CTDSPL)genein39%cases.Literaturesearchindicatedtheroleof CTDSPL genes in pregnancy and recurrent abortion. It has phosphataseactivity todephosphorylatetheC-terminaldomain ofRNApolymeraseIIandregulatescellgrowthanddifferentiation.
Gain-and loss-of-functionstudies showedthat both miR-26a/b anditshostgene(CTDSP)directlyorsynergisticallydecreasingthe phosphorylated formof pRb (ppRb), therebyincreasing RB-E2F interactionandblockingthecellcycleprogressionatG1/S-phase [55,58].StudiesalsosuggestthatCTDSPL/RBSP3mightfunctionas atranscriptionalco-repressor,inhibitingtranscriptionofneuronal genesinnon-neuronalcells[56],andmayalsoactasaphosphatase ofSmad1,Smad2andSmad3[57].AlterationinCTDSPLgenehas also been reported to be associated with susceptibility to pregnancy loss throughinteraction withSYCP3, RB, SMAD and TNF-betagenes[53,55,59,57].STRINGv10protein-protein inter- action network also displays SMAD1, SMAD2, SMAD3, CDK9, GTF2F1,CTDP1,REST,C3orf35,MKI67IP,andOBSCNaspredicted functional partner [34]. CTDSPL has also been found to be frequentlyalteredandmethylatedin manytumors [60,61].This generegulateschromosomalrecombinationandsegregation,and chromosomalsynapsisbyencoding componentsofthesynapto- nemal complex. Alteration/mutation in CTDSPL gene has been reportedto beassociated withsusceptibility topregnancy loss [53].
Inourstudy, wefoundtheglutathioneS-transferasetheta1 (GSTT1) gene, located on 22q11.23 region to be significantly amplified(p value=2.710 16). GSTT1 codes for detoxification enzymethatdecreasestheeffectofoxidativestressonembryo.
Normal GSTT1 is crucial for endometrial differentiation and Table2(Continued)
Chromosome Cyto- band
CNVs probe Change p-
value
Frequency Genes
Start-Stop (bp)
size(bp) Our
Data
Nagarnajaetal Migita O, etal.,
DGV
No % Control
%
RM cases
% RM cases%
Control
UAP1L1,LOC100289341,MAN1B1,DPP7, LRRC26,TPRN,TMEM203,NDOR1,RNF208, C9orf169,LOC643596,TUBB2C,FAM166A, C9orf173 ...
chr12 q24.33 131486691–
131807940
321250 61 Amp 1.85E- 19
9 20 – – 1 U POLE,FBRSL1,P2RX2
chr7 p22.3 1229427–
1976440
747014 123 Amp 7.93E- 10
9 20 – 2 8 U MAFK,MAD1L1,UNCX
chr3 q29 196904349–
196972126
67778 19 Del 9.25E-
12
8 18 – – U MIR570,MUC20,MUC4
chr6 p21.33 29962849–
30021967
59119 10 Del 4.61E-
21
8 18 18 13 15 U HLA-H,HLA-A,HCG2P7
chrX q28 152376791–
153473460
1096670 201 Amp 1.30E- 20
8 18 – – 0 * BGN,ATP2B3,FAM58A
chr10 q11.22 46396163–
46568552
172390 31 Del 2.31E- 17
7 16 – – – U PPYR1,GPRIN2,LOC643650
chr17 q25.3 76662104–
77646444
984341 168 Amp 7.79E- 16
7 16 – – 0 U BAIAP2,AATK,ACTG1
chr10 q26.3 134877109–
135026325
149217 38 Amp 2.11E- 15
6 13 7 – 9 U UTF1,ADAM8,PRAP1
chr22 q13.33 48946249–
49099488
153240 38 Amp 9.26E- 17
6 13 – – – U MAPK12,PLXNB2,PANX2
chr14 q32.33 104311091–
104324592
13,502 4 Amp 9.27E-
14
6 13 – 2 – U AKT1
ListofAbbreviations:CNVs:CopyNumberVariations;bp:BasePair;No:numbers;%:percentage;Amp:amplification;Del:deletion;*:Non-overlappedinDGV;U:foundin DGV;–:Notreportedbypreviousstudies.
Fig.4.Graphshowingassociationofgeneticalterations(CNVs)withRSA.
xxx–xxx
embryonicgrowth;however,itsoverexpressionhasbeenreported toincreasetheriskofpregnancyloss[52].Macrophagescavenger receptor(MSR1) hasbeenshown toregulatematernalimmune tolerancebyactivatingTcellresponsethroughuterinedendritic cells[54].AlterationinMSR1mightchangedendriticcellsprofile andTcelltoleranceleadingtomiscarriage.
Large amplified or deletedCNVs regions are more likely to disruptthekeygenesessentialforearlypregnancymaintenance.
We found both gain and loss of large CNVs regions including 15q11.2, 10q11.21 q11.22,8p23.1,9q34.3,8q24.3, 11p15.5 p15.4, 22q11.21, Xp22.33 p11.1,19p13.3,16p13.3, 20q13.33,17q25.3 presentatleastinfourRSAcases.Geneslocatedontheseregions mayhavepotentialtoincreasetheriskofRSAindependentlyorin combination [62]. Excessive genomic burden of CNVs in an individualmightexhibitincreasedriskforRSA.
Inourpathwayenrichmentanalysisofaffectedgenesderived fromselectedCNVs regions,we foundimmune signalingto be associatedwiththeRSAstudygroup.Ingeneral,maternalimmune systemmighttargetthepaternalgeneticmaterialandinherited alloantigens in the fetus considering it foreign, but sperm’s histocompatibilitylocus antigens (HLA)interacts withmother’s
HLAandstimulateastrongerprotectiveresponseinthemother’s body toaccepttheconception. Incase ofweak andinsufficient protectiveresponsethewhitebloodcellsofmother’sbodyattack on new cells of embryo resulting in termination of the early pregnancy[45–47].TheHLAgenelocus,presenton6p21.32region, wasamplifiedinaroundhalfofourregisteredcases.HLAandits alleles (DQA1,DQB1, DRB5, DRB6) are known for theirrole in allograftrejection,additionalstudiessuggestedthemasriskalleles forunexplainedrecurrentabortionandgainingattentionasRSA markers[48–50].
Pro-inflammatoryimmunecell activationis vitalfor embryo implantation,placentation,andparturition;howevertheirdysre- gulation canleadtodetrimentalpregnancyoutcomesincluding spontaneous abortion,fetal growth restriction, maternalhyper- tensive disorders, and even maternal death. During pregnancy, inflammation is tightly controlled and is largely mediated by immunecellsthatproduceinterleukin(IL)-4andIL-10.Persistent excessive maternalinflammatory responsesare associatedwith adverse pregnancycomplications and outcomes like idiopathic miscarriages. Down-regulated IL-4 and IL-10 signaling has detrimentaleffectsonfetalandmaternalphysiologylikeinfertility, spontaneousabortion,pretermbirth,andhypertensivedisorders ofpregnancy[51].
ThebalanceofT-helper1(Th1)andT-helper2(Th2)cellsduring pregnancyplayacriticalrole,Th1-typecytokinesinduceallograft rejectionwhileTh2-type cytokinespromotesallograft tolerance andincreasesfetalsurvivalrates[63–67].PositiveroleofTh1-type cytokines in pregnancy depends on the concentration and gestationstage[68].
Oversecretion ofTh2cytokinesanddownregulationofTh1 cytokines by feto-placental unit redirect the cell mediated maternal immunity to humoral immunity [69]. MEF2–NFAT complex playsan importantrole in T-lymphocyte apoptosisby regulating Nur77 expression[70,71].Suppression of thesignal- transducing–chaininTlymphocytesisamustforfetussurvival, Table3
ListoftopcanonicalpathwaysderivedfromalteredgeneslocatedondetectedCNVsamongrecurrentspontaneousabortioncases.
CanonicalPathways Pvalue Molecules
IL-4Signaling 1.20E-03 AKT1,HLA-DQA1,HLA-DRB5
BCellDevelopment 2.63E-03 HLA-DQA1,HLA-DRB5
CD28SignalinginTHelperCells 4.57E-03 AKT1,HLA-DQA1,HLA-DRB5
AntigenPresentationPathway 4.90E-03 HLA-DQA1,HLA-DRB5
AutoimmuneThyroidDiseaseSignaling 6.92E-03 HLA-DQA1,HLA-DRB5
AllograftRejectionSignaling 8.51E-03 HLA-DQA1,HLA-DRB5
RoleofNFATinRegulationoftheImmuneResponse 1.29E-02 AKT1,HLA-DQA1,HLA-DRB5
Calcium-inducedTLymphocyteApoptosis 1.35E-02 HLA-DQA1,HLA-DRB5
IL-17ASignalinginAirwayCells 1.51E-02 AKT1,DEFB4A/DEFB4B
THelperCellDifferentiation 1.58E-02 HLA-DQA1,HLA-DRB5
TREM1Signaling 1.74E-02 AKT1,DEFB4A/DEFB4B
IL-17Signaling 1.78E-02 AKT1,DEFB4A/DEFB4B
TR/RXRActivation 2.82E-02 AKT1,TBL1Y
RoleofIL-17AinPsoriasis 3.63E-02 DEFB4A/DEFB4B
Acyl-CoAHydrolysis 3.63E-02 ACOT1
GlycogenDegradationIII 5.01E-02 MGAM
DNAdamage-induced14-3-3sSignaling 5.25E-02 AKT1
RegulationofeIF4andp70S6KSignaling 6.46E-02 RPS4Y1,AKT1
GlutathioneRedoxReactionsI 6.92E-02 GSTT1
EIF2Signaling 8.91E-02 RPS4Y1,AKT1
NRF2-mediatedOxidativeStressResponse 8.91E-02 AKT1,GSTT1
Glutathione-mediatedDetoxification 9.55E-02 GSTT1
InhibitionofAngiogenesisbyTSP1 1.00E-01 AKT1
mTORSignaling 1.00E-01 RPS4Y1,AKT1
PrimaryImmunodeficiencySignaling 1.17E-01 IGLL1/IGLL5
phagosomeformation 2.52E-01 MSR1
HumanEmbryonicStemCellPluripotency 3.21E-01 AKT1
Table4
DiseasesorfunctionsenrichmentofCNVgenesusingIPA.
DiseasesorFunctionsAnnotation p-Value Molecules differentiationoftestis 9.19E-05 SCX,SOX3,SRY differentiationofSertolicells 2.04E-03 SCX,SRY adhesionofgranulosacells 4.52E-02 PTPN20 associationofgonadalcelllines 4.52E-02 MSR1
bindingofoocytes 4.52E-02 ADAM15
morphogenesisoftestis 4.52E-02 SRY
relaxationofuterus 4.52E-02 RLN1
xxx–xxx