Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Array comparative genomic hybridization and flow cytometry analysis of spontaneous abortions and mors in utero samples

  • Björn Menten1Email author,
  • Katrien Swerts2,
  • Barbara Delle Chiaie1,
  • Sandra Janssens1,
  • Karen Buysse1,
  • Jan Philippé3 and
  • Frank Speleman1
BMC Medical Genetics200910:89

https://doi.org/10.1186/1471-2350-10-89

Received: 18 May 2009

Accepted: 14 September 2009

Published: 14 September 2009

Abstract

Background

It is estimated that 10-15% of all clinically recognised pregnancies result in a spontaneous abortion or miscarriage. Previous studies have indicated that in up to 50% of first trimester miscarriages, chromosomal abnormalities can be identified. For several decades chromosome analysis has been the golden standard to detect these genomic imbalances. A major drawback of this method is the requirement of short term cultures of fetal cells. In this study we evaluated the combined use of array CGH and flow cytometry (FCM), for detection of chromosomal abnormalities, as an alternative for karyotyping.

Methods

In total 100 spontaneous abortions and mors in utero samples were investigated by karyotyping and array CGH in combination with FCM in order to compare the results for both methods.

Results

Chromosome analysis revealed 17 abnormal karyotypes whereas array CGH in combination with FCM identified 26 aberrations due to the increased test success rate. Karyotyping was unsuccessful in 28% of cases as compared to only two out of hundred samples with inconclusive results for combined array CGH and FCM analysis.

Conclusion

This study convincingly shows that array CGH analysis for detection of numerical and segmental imbalances in combination with flow cytometry for detection of ploidy status has a significant higher detection rate for chromosomal abnormalities as compared to karyotyping of miscarriages samples.

Background

10 to 15% of all clinically recognised pregnancies end up in a spontaneous abortion. It is estimated that chromosomal abnormalities are the underlying cause in up to 50% of these miscarriages [1, 2]. The vast majority of these chromosomal abnormalities are numerical aberrations (~86%), including trisomies, monosomies and polyploidies. Other abnormalities are structural aberrations (6%), with in a minority of cases, an inherited unbalanced chromosomal aberration following meiotic segregation in a parent having a balanced translocation. In approximately 8% of cases, fetal loss is due to chromosomal mosaicism in the embryo [3].

Most clinically recognised spontaneous abortions occur between 7 and 11 weeks of gestation. However, it has been assumed that most products of conception are lost even before the pregnancy is clinically recognised as such. These preclinical losses are due to failure of development, early arrest in cell division or implantation failure of the developing embryo.

Although the recurrence risk of numerical imbalances is very low in case of normal parental karyotypes, cytogenetic investigations of miscarriages may be invaluable as they may eliminate further testing and provide a better recurrence risk estimate for the couple. Classical cytogenetic investigations however, require viable tissue. As a result, in up to 40% of cases, no reliable karyotype can be obtained due to a high rate of culture failure. The occurrence of maternal contamination and the suboptimal quality of chromosome preparations are other limiting factors for chromosome analysis [46].

Other genetic techniques have been used to investigate products of conception, such as fluorescence in situ hybridization (FISH), multiplex-ligation dependent probe amplification (MLPA) and quantitative fluorescent PCR [2, 79]. Although the majority of chromosomal aberrations can be detected with these techniques, structural aberrations are often missed. By using comparative genomic hybridization (CGH), numerical and unbalanced structural chromosomal aberrations can be identified without the need of mitotic active cells. However, this technique is very labour intensive and has a limited resolution [1015]. Moreover polyploidies, cannot be detected with this comparative method. This last limitation can be circumvented by the use of flow cytometry (FCM) [5]. FCM is an easy, rapid, accurate and inexpensive technique for the measurement of cellular DNA content [16].

Comparative genomic hybridization on DNA-microarrays (array CGH), or molecular karyotyping, has proven to be very helpful in the detection of constitutional and acquired chromosomal aberrations [1719]. Molecular karyotyping is fast, does not require tissue culture and allows screening of the entire genome for imbalances at high resolution.

In this study, we illustrate the advantages of array CGH combined with flow cytometry in comparison to conventional karyotyping.

Methods

Samples

Hundred miscarriages and mors in utero samples were investigated by conventional chromosome analysis, flow cytometry and molecular karyotyping using ~1 Mb BAC microarrays. All samples were sent to the Center for Medical Genetics, Ghent University Hospital, Belgium for chromosome analysis. Ethical approval for this study was obtained through the Ghent University Hospital ethics committee. All patients gave consent for molecular cytogenetic investigations on the miscarriage and mors-in-utero samples. First trimester miscarriage samples are generally collected by curettage. The analyses for second trimester miscarriage and mors in utero samples (obtained by expulsion of the fetus in toto) were performed on fetal skin, placental and/or umbilical cord material. The majority of samples were from women with advanced age or with a history of multiple miscarriages.

Cytogenetic analysis

All tissue samples were grossly examined, removing maternal blood and decidua. Analysis of G-banded metaphase chromosomes was performed on cultured tissue samples using standard procedures. Karyotypes were described according to the guidelines of the ISCN 2005.

Flow Cytometry

For DNA content analysis, the Coulter® DNA Prep™ Reagents Kit (Beckman Coulter, Fullerton, CA, USA) was used according to the manufacturer's recommendations. In brief, the tissue was passed through a 70 μM Nylon Cell Strainer filter (Ref: 352350, BD Biosciences (Discovery Labware, Two Oak Park, Bedford, MA 01730 USA)) to prepare single cell suspensions. Uncultured cells (5 × 105) were exposed to DNA Prep LPR for 30 sec, followed by incubation with DNA Prep Stain for 15 min at room temperature.

The fluorescence was analyzed on a Beckman Coulter Cytomics FC 500 5-colour flow cytometer equipped with a 488 nm argon ion laser. Dot plots of the peak area versus height and the peak ratio (height/area) versus area were used for doublet discrimination and exclusion. A minimum of 500 events (after exclusion of doublets) was collected.

DNA content analysis included determination of the mean channel fluorescence and the coefficient of variation (CV) of the G0/G1 peak. In addition, the DNA-index, a measure for the degree of DNA content abnormality, was calculated by dividing the G0/G1 peak channel of the sample by the G0/G1 peak channel of normal DNA-diploid reference cells obtained from peripheral blood of healthy volunteers.

Array CGH analysis

DNA was isolated from tissue samples using the QIAamp DNA Mini Kit (Qiagen), according to the manufacturer's instructions. Array CGH analysis was performed on an in-house produced 1 Mb BAC-array as described by Menten et al. [17]. The scan images were processed with ArrayPro software (TECAN) and further analyzed with our in-house developed and freely available software tool arrayCGHbase http://medgen.ugent.be/arrayCGHbase/ [20]. Reporters with a signal to noise ratio < 3 were excluded from the analysis. Circular Binary Segmentation (CBS) was used to detect possible chromosomal breakpoints and calculate an individual chromosome based median.

Results

Conventional cytogenetic analysis

Hundred products of conception were investigated with conventional cytogenetic analysis using G-banding [see Additional file 1]. In twenty-eight cases karyotyping was not possible due to culture failure. Normal karyotypes were found in 11 (male) and 44 (female) cases. In 17 cases an abnormal karyotype was detected. Chromosomal abnormalities included predominantly autosomal trisomies (n = 9) followed by sex-chromosome aberrations (n = 2; 45, X) and polyploidy (n = 3; triploid samples). One apparently balanced and one unbalanced aberration were identified. The male to female ratio for the samples with a normal chromosomal result was 0.25, which is suggestive for maternal contamination due to culture artefacts in approximately 33% of the investigated samples.

Flow Cytometry

Flow cytometry, utilizing propidium iodide as intercalating dye, was used to quantify the cellular DNA content of single cells. Hundred samples were analyzed using this relatively simple and rapid technique. The results of 3 samples could not be interpreted due to the presence of a high percentage of apoptotic cells. Ninety-four samples showed a diploid DNA content whereas 3 samples were DNA-triploid (DNA-index = 1.45). In the latter 3 samples, the triploidy was confirmed by karyotyping.

Array CGH

Array CGH was performed on all samples. In 23 cases an abnormal result was found. Chromosomal abnormalities included autosomal trisomies (n = 15), monosomy for the X-chromosome (n = 5) and three structural aberrations (a combined deletion and duplication probably resulting from an unbalanced translocation and two terminal deletions) (Table 1). Ten of these aberrations were not detected with conventional karyotyping. One balanced translocation could not be detected by array CGH but was however inherited from a normal mother and is therefore probably not causal for the spontaneous abortion.
Table 1

array CGH and FCM findings in 100 spontaneaous abortions/mors in utero samples

finding

No of cases

normal male profile

34

normal female profile

38

abnormal profile

26

   trisomy 6

2

   trisomy 13

1

   trisomy 15

2

   trisomy 16

2

   trisomy 18

4

   trisomy 21

4

   monosomy X

5

   triploidy

3

   dup(13)(q32.1qter)del(20)(pterp12.1), male

1

   del(7)(q36qter), female

1

   del(X)(q28qter), female

1

failure

2

In two additional cases, a triploidy was suspected due to aberrant ratios for the sex-chromosomes. Due to poor DNA quality, no result could be obtained for 2 samples. In 34 cases a normal male result was obtained. Thirty-nine samples were of normal female origin giving a male to female ratio of 0.87.

In Table 2, results of array CGH and FCM are summarized according to the gestational age (per trimester). From this table it is clear that highest proportion of chromosomal aberrations can be found in 1st trimester miscarriages.
Table 2

array CGH and FCM findings per trimester

trimester §

I

(n = 50)

II

(n = 34)

III

(n = 16)

Total

(n = 100)

normal male

15

17

2

34

normal female

18

11

9

38

abnormal

17

6

3

26

failed

0

0

2

2

aberrant

~34%

~18%

 

~26%

§: I, II, III: respectively first, second and third trimester

In summary, 27 chromosomal abnormalities were identified in 100 investigated samples by using conventional karyotyping and array CGH in combination with FCM. This percentage is rather low compared to previous array CGH and conventional cytogenetic studies reporting chromosomal aberrations in up to 50% of spontaneous abortions [3, 2124]. The proportion of numerical versus structural chromosomal aberrations is comparable to previous array CGH based [22, 24] and cytogenetic investigations [3]. Monosomy X was the most common observed aneuploidy (5) and trisomy 18 and 21 were observed as the most common trisomies. Other trisomies observed include chromosome 6, 13, 15 and 16 (Table 1).

Discussion

In order to assess the feasibility of array CGH as an alternative to routine karyotyping we compared results obtained by both methods on a series of 100 samples from spontaneous abortions. Given the inability of array CGH to detect triploidy or tetraploidy we decided to complement analyses with flow cytometric assessment of DNA index. Our results show that array CGH/FCM clearly outperforms on the standard karyotyping assay. Array CGH/FCM was successful in almost all samples whereas karyotype failure was noted in as much as 28% of cases. In ten cases, array CGH was able to reveal an aberration whereas the karyotype was normal or failed.

Flow cytometry was able to identify all three triploid samples identified by conventional karyotyping. Array CGH showed aberrant ratios for the sex chromosomes for 2 out of 3 cases. However, the samples could not unambiguously be assigned triploid. Hence, a combined approach of array CGH and FCM or alternatively quantitative fluorescence PCR, is needed to unambiguously detect polyploidy.

Although this study thus clearly shows the advantages of array CGH versus karyotyping, other rapid molecular methods for detection of DNA copy number abnormalities such as fluorescence in situ hybridization (FISH), multiplex-ligation dependent probe amplification (MLPA) and quantitative fluorescent PCR could also be of value for analysing fetal wastage material [2, 79]. Although the most frequent occurring chromosomal aberrations (e.g. trisomy 16, 21, 22) can be detected with these techniques, certain structural aberrations such as interstitial deletions can however still be missed. Although no interstitial deletions or duplications were detected in this study, it can be anticipated that larger follow-up studies (on higher resolution arrays) might unravel interstitial aberrations responsible for fetal loss.

One major obstacle in the analysis of abortion material is avoiding cultural artefact. The present study clearly shows that karyotyping suffers more from maternal contamination. We calculated that in ~33% of samples a normal female karyotype was found due to the presence of maternal tissue.

This percentage is comparable with other reports demonstrating that at least 30% of 46, XX results are due to contamination by maternal deciduas in first trimester abortion specimens [4].

With the advent of recent technical innovations, the increased availability of commercial microarray platforms and the ability to automate, prices of microarray analysis are decreasing drastically leading to a price-competitive platform compared to tissue culture and conventional karyotyping or other (molecular) cytogenetic techniques such as MLPA or QF-PCR. The introduction of high resolution oligonucleotide or SNP platforms may eventually lead to a higher pick-up rate of submicroscopic aberrations responsible for fetal loss.

Conclusion

In conclusion, array CGH analysis for copy number variations together with FCM for ploidy status determination, enables a refined and more complete (molecular) cytogenetic analysis of spontaneous abortions. Because array CGH is not dependent on cell culture, reporting times can be significantly reduced. Furthermore, array CGH/FCM is less labour intensive and amenable to further automation, increasing throughput and reducing hands-on time. Therefore it is likely to become the method of choice in most clinical diagnostic laboratories, especially since array CGH has an increased resolution so that smaller unbalanced chromosomal aberrations can more easily be detected.

Declarations

Acknowledgements

We are grateful to the patients and their family for their cooperation. The authors wish to thank Ivy Jennes and Katrien Broekaert for expert technical assistance. This article presents research results of the Belgian program of Interuniversity Poles of Attraction, initiated by the Belgian State, Prime Minister's Office, Science Policy Programming (IUAP). This study was supported by grant 60848, Molecular karyotyping from IWT-Vlaanderen; the Fund for Scientific Research, Flanders (grant G.0200.03) and GOA-grant 12051203 from the Ghent University. Karen Buysse is a Research Assistant of the Research Foundation - Flanders (FWO - Vlaanderen).

Authors’ Affiliations

(1)
Center for Medical Genetics, Ghent University Hospital
(2)
Department of Pediatric Hematology and Oncology, Ghent University Hospital
(3)
Department of Clinical Biology, Immunology and Microbiology, Ghent University

References

  1. Hassold T, Chen N, Funkhouser J, Jooss T, Manuel B, Matsuura J, Matsuyama A, Wilson C, Yamane JA, Jacobs PA: A cytogenetic study of 1000 spontaneous abortions. Annals of human genetics. 1980, 44 (Pt 2): 151-178. 10.1111/j.1469-1809.1980.tb00955.x.View ArticlePubMedGoogle Scholar
  2. Jobanputra V, Sobrino A, Kinney A, Kline J, Warburton D: Multiplex interphase FISH as a screen for common aneuploidies in spontaneous abortions. Human reproduction (Oxford, England). 2002, 17 (5): 1166-1170. 10.1093/humrep/17.5.1166.View ArticleGoogle Scholar
  3. Goddijn M, Leschot NJ: Genetic aspects of miscarriage. Bailliere's best practice & research. 2000, 14 (5): 855-865.Google Scholar
  4. Bell KA, Van Deerlin PG, Haddad BR, Feinberg RF: Cytogenetic diagnosis of "normal 46, XX" karyotypes in spontaneous abortions frequently may be misleading. Fertility and sterility. 1999, 71 (2): 334-341. 10.1016/S0015-0282(98)00445-2.View ArticlePubMedGoogle Scholar
  5. Lomax B, Tang S, Separovic E, Phillips D, Hillard E, Thomson T, Kalousek DK: Comparative genomic hybridization in combination with flow cytometry improves results of cytogenetic analysis of spontaneous abortions. American journal of human genetics. 2000, 66 (5): 1516-1521. 10.1086/302878.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Menasha J, Levy B, Hirschhorn K, Kardon NB: Incidence and spectrum of chromosome abnormalities in spontaneous abortions: new insights from a 12-year study. Genet Med. 2005, 7 (4): 251-263. 10.1097/01.GIM.0000160075.96707.04.View ArticlePubMedGoogle Scholar
  7. Bruno DL, Burgess T, Ren H, Nouri S, Pertile MD, Francis DI, Norris F, Kenney BK, Schouten J, Andy Choo KH, et al: High-throughput analysis of chromosome abnormality in spontaneous miscarriage using an MLPA subtelomere assay with an ancillary FISH test for polyploidy. American journal of medical genetics. 2006, 140 (24): 2786-2793.View ArticlePubMedGoogle Scholar
  8. Diego-Alvarez D, de Alba MR, Cardero-Merlo R, Diaz-Recasens J, Ayuso C, Ramos C, Lorda-Sanchez I: MLPA as a screening method of aneuploidy and unbalanced chromosomal rearrangements in spontaneous miscarriages. Prenatal diagnosis. 2007, 27 (8): 765-71. 10.1002/pd.1777.View ArticlePubMedGoogle Scholar
  9. Diego-Alvarez D, Garcia-Hoyos M, Trujillo MJ, Gonzalez-Gonzalez C, Rodriguez de Alba M, Ayuso C, Ramos-Corrales C, Lorda-Sanchez I: Application of quantitative fluorescent PCR with short tandem repeat markers to the study of aneuploidies in spontaneous miscarriages. Human reproduction (Oxford, England). 2005, 20 (5): 1235-1243. 10.1093/humrep/deh781.View ArticleGoogle Scholar
  10. Azmanov DN, Milachich TV, Zaharieva BM, Michailova GI, Dimitrova VG, Karagiozova ZH, Maznejkova VT, Chernev TA, Toncheva DI: Profile of chromosomal aberrations in different gestational age spontaneous abortions detected by comparative genomic hybridization. European journal of obstetrics, gynecology, and reproductive biology. 2007, 131 (2): 127-131. 10.1016/j.ejogrb.2006.04.037.View ArticlePubMedGoogle Scholar
  11. Daniely M, Aviram-Goldring A, Barkai G, Goldman B: Detection of chromosomal aberration in fetuses arising from recurrent spontaneous abortion by comparative genomic hybridization. Human reproduction (Oxford, England). 1998, 13 (4): 805-809. 10.1093/humrep/13.4.805.View ArticleGoogle Scholar
  12. Fritz B, Hallermann C, Olert J, Fuchs B, Bruns M, Aslan M, Schmidt S, Coerdt W, Muntefering H, Rehder H: Cytogenetic analyses of culture failures by comparative genomic hybridisation (CGH)-Re-evaluation of chromosome aberration rates in early spontaneous abortions. Eur J Hum Genet. 2001, 9 (7): 539-547. 10.1038/sj.ejhg.5200669.View ArticlePubMedGoogle Scholar
  13. Hu Y, Chen X, Chen LL, Xu ZF, Wang X, Cui H: Comparative genomic hybridization analysis of spontaneous abortion. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics. 2006, 92 (1): 52-57.View ArticleGoogle Scholar
  14. Kallioniemi A, Kallioniemi OP, Sudar D, Rutovitz D, Gray JW, Waldman F, Pinkel D: Comparative genomic hybridization for molecular cytogenetic analysis of solid tumors. Science (New York, NY). 1992, 258 (5083): 818-821.View ArticleGoogle Scholar
  15. Tabet AC, Aboura A, Dauge MC, Audibert F, Coulomb A, Batallan A, Couturier-Turpin MH, Feldmann G, Tachdjian G: Cytogenetic analysis of trophoblasts by comparative genomic hybridization in embryo-fetal development anomalies. Prenatal diagnosis. 2001, 21 (8): 613-618. 10.1002/pd.115.View ArticlePubMedGoogle Scholar
  16. Berezowsky J, Zbieranowski I, Demers J, Murray D: DNA ploidy of hydatidiform moles and nonmolar conceptuses: a study using flow and tissue section image cytometry. Mod Pathol. 1995, 8 (7): 775-781.PubMedGoogle Scholar
  17. Menten B, Maas N, Thienpont B, Buysse K, Vandesompele J, Melotte C, de Ravel T, Van Vooren S, Balikova I, Backx L, et al: Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of published reports. Journal of medical genetics. 2006, 43 (8): 625-633. 10.1136/jmg.2005.039453.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Pinkel D, Segraves R, Sudar D, Clark S, Poole I, Kowbel D, Collins C, Kuo WL, Chen C, Zhai Y, et al: High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nature genetics. 1998, 20 (2): 207-211. 10.1038/2524.View ArticlePubMedGoogle Scholar
  19. Solinas-Toldo S, Lampel S, Stilgenbauer S, Nickolenko J, Benner A, Dohner H, Cremer T, Lichter P: Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. Genes, chromosomes & cancer. 1997, 20 (4): 399-407.View ArticleGoogle Scholar
  20. Menten B, Pattyn F, De Preter K, Robbrecht P, Michels E, Buysse K, Mortier G, De Paepe A, van Vooren S, Vermeesch J, et al: arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays. BMC bioinformatics. 2005, 6: 124-10.1186/1471-2105-6-124.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Benirschke K: Current concerns in the genetics of pregnancy losses. Delaware medical journal. 1990, 62 (8): 1169-1174.PubMedGoogle Scholar
  22. Benkhalifa M, Kasakyan S, Clement P, Baldi M, Tachdjian G, Demirol A, Gurgan T, Fiorentino F, Mohammed M, Qumsiyeh MB: Array comparative genomic hybridization profiling of first-trimester spontaneous abortions that fail to grow in vitro. Prenatal diagnosis. 2005, 25 (10): 894-900. 10.1002/pd.1230.View ArticlePubMedGoogle Scholar
  23. Nagaishi M, Yamamoto T, Iinuma K, Shimomura K, Berend SA, Knops J: Chromosome abnormalities identified in 347 spontaneous abortions collected in Japan. The journal of obstetrics and gynaecology research. 2004, 30 (3): 237-241. 10.1111/j.1447-0756.2004.00191.x.View ArticlePubMedGoogle Scholar
  24. Schaeffer AJ, Chung J, Heretis K, Wong A, Ledbetter DH, Lese Martin C: Comparative genomic hybridization-array analysis enhances the detection of aneuploidies and submicroscopic imbalances in spontaneous miscarriages. American journal of human genetics. 2004, 74 (6): 1168-1174. 10.1086/421250.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/10/89/prepub

Copyright

© Menten et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement