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  • Review Article   
  • Cell Mol Biol, Vol 69(6)

A Method of Screening for Trisomy 18 by Detecting Amniotic Fluid Punctures

Junbei Xia N G1 and Qian Wan2*
1Sichuan Nursing Vocational College, Chengdu 610000, Sichuan, People’s Republic of China
2Chengdu Neo-Life Hope Medical est Lab. Co. Ltd, Chengdu 610036, Sichuan, People’s Republic of China
*Corresponding Author: Qian Wan, Chengdu Neo-Life Hope Medical est Lab. Co. Ltd, Chengdu 610036, Sichuan, People’s Republic of China, Email: 1298421480@qq.com

Received: 01-Nov-2023 / Manuscript No. cmb-23-120356 / Editor assigned: 04-Nov-2023 / PreQC No. cmb-23-120356 / Reviewed: 18-Nov-2023 / QC No. cmb-23-120356 / Revised: 25-Nov-2023 / Manuscript No. cmb-23-120356 / Published Date: 30-Nov-2023

Abstract

Objective: We aimed to develop a new method of screening for Trisomy 18 by detecting amniotic fluid punctures to complement the current methods.

Method: Two commercially available genomic DNA extracted from the amniotic fluid puncture of the pregnant woman with the Trisomy 18 fetus, two genomic DNAs extracted from two healthy male and four genomic DNAs extracted from four healthy female were used as the qPCR template DNAs and the commercially available Sybr green qPCR mater mix were used; we designed and synthesized 5 pairs of qPCR primers respectively corresponding to IL- 10 gene on 1# chromosome, STAT1 gene on 2# chromosome, CXCR3 gene on X chromosome, TSPY1 gene on Y chromosome and LINC01910 gene on 18# chromosome. We then performed Sybr green qPCR measurement.

Results: We processed the qPCR data by mathematical calculation and finally formed a new algorithm. Using the new algorithm, we easily distinguished the Trisomy 18 female samples out of the normal female samples.

Conclusion: We developed a new method of screening for Trisomy 18 for the female fetus by detecting amniotic fluid punctures to complement the current methods.

Keywords

Trisomy 18; Amniotic fluid puncture; Sybr green qPCR; Algorithm; Index for TRISOMY 18

Introduction

Trisomy 18 syndrome, also known as Edwards syndrome, mainly includes abnormalities in the mesoderm and its derivatives (such as bone, urogenital system, the heart is most obvious) [1-3]. In addition, the ectoderm close to the mesoderm (such as skin folds, cuticle cristae and hair) and the endoderm (such as Meckel's diverticulum, lungs and kidneys) are also abnormal. It is reported that for Trisomy 18, the embryo develops normally before 5 weeks, and begin to appear abnormal at the 6th to 8th week of gestation [4].

There is no effective treatment for Edwards syndrome. The best course of action is to terminate the pregnancy before delivery. Prenatal "screening" methods for Edwards syndrome include serological screening and noninvasive prenatal testing [5,6]. Prenatal "diagnosis" of Edwards syndrome includes: karyotype analysis, chromosome microarray or gene chip testing of amniotic fluid, chorionic tissue, or fetal cord blood. Amniocentesis tests (including karyotype analysis, chromosomal microarrays and gene microarrays) are considered the "gold standard tests".

For the "gold standard test" to confirm Trisomy 18, specific detection techniques include karyotype analysis, chromosome microarray, gene chip, etc. However, the above "gold standard tests" have some obvious drawbacks: (1) the material cost of these tests is relatively high, all more than $80 per person by rough calculation; (2) the time cost of karyotype analysis is high (at least 12 days). In addition, the cells may change during proliferation due to the status of chromosomes, and the detection requires skilled operators; (3) although the time cost of chromosomal microarray and gene microarray detection is relatively low, their sample waiting time is longer because they need to complete the minimum sample size required for chromosomal microarray or gene microarray detection due to cost consideration.

In this study, we completed a pilot study which aimed at establishing a new complementary method for the identification of Trisomy 18 by amniocentesis. The method was based on Sybr Green qPCR and its characteristics were: (1) the genomic DNA of fetal cells in amniotic fluid was directly extracted for detection without cell proliferation and culture, which greatly shortened the detection time; (2) single sample detection is not limited by the minimum number of samples and does not require waiting time; (3) the result judgment is based on the preset threshold, which has good objectivity; (4) the new method is positioned as a supplementary detection method of karyotype analysis, chromosome microarray and gene microarray detection. The new method is not to replace the "gold standard detection", but to strengthen the "gold standard detection", which has potential promotion potential. The idea frame of this study has already been successfully fulfilled in the detection of Trisomy 21 [7] and Trisomy 13 [8] before, and it would be a novel try to apply this idea frame in the detection of Trisomy 18.

Materials and Methods

The DNA templates for Sybr green qPCR and ethics

Two healthy man and four healthy women had oral epithelial cells collected as health samples by mouth swabs and signed informed consent; after collection, the corresponding genomic DNA was rapidly extracted using BIOG DNA Swab kit (Catalog No.: 51029, Lot No.: 202301, Changzhou, China). The extracted DNA was used as the template DNA for normal samples in Sybr green qPCR detection.

The genomic DNA of Trisomy 18 fetus was obtained by purchasing the commercial human chromosome polyploid assay kit (Product No.: YST0015-01, Lot No.: 202301001) from GIMT Co.Ltd, Guizhou, China). This genomic DNA of the Trisomy 18 fetus was extracted from amniotic fluid puncture of the pregnant woman with Trisomy 18 fetus, which was used as a positive sample for subsequent Sybr green qPCR detection.

Primers for Sybr green qPCR

Five pairs of primers were designed and synthesized, corresponding to IL-10 gene on chromosome 1, STAT1 gene on chromosome 2, CXCR3 gene on chromosome X, TSPY1 gene on chromosome Y and LINC01910 gene on chromosome 18. The sequence and amplicon information were shown in Table 1.

Chromosome number Primer name Primer sequence Amplicon size (number of base pairs)
1 IL10-1#-F tgagctgcat gctggggaga 120
1 IL10-1#-B gtatttgtat gtgcacattt 120
2 STAT1-2#-F gatattccta aatgctttgg 120
2 STAT1-2#-B tgtttaacca ttaatttggc 120
21 Sumo3-21#-F agaagggcag cgtctttgag 120
21 Sumo3–21#-B taaaaaagaa aaaaaagttt 120
X CXCR3-X-F acatagttca tgccacccag 120
X CXCR3-X-B ccgacaggaa gatgaagtct 120
Y TSPY1-Y-F agctttctcc accttgtcct 120
Y TSPY1-Y-B tattccttgg taatcacttt 120
18 LINC01910-18#-F attgcaattc ccctggcttg 120
18 LINC01910-18#-B gctggaatgc agtggtacaa 120

Table 1: Primer information (the suffix "-F" stands for "forward primer"; the suffix "-B" stands for "backward primer").

qPCR instrument and qPCR reaction conditions

The qPCR instrument was Stepone Plus (ABI Co.Ltd, USA). Sybr green qPCR solution was purchased from China Qingke Biotechnology Co., LTD. (Product No.: TSE201, Lot No.: 202212). The setting of qPCR detection was: (1) 4 repeated reactions for each gene of each sample; (2) a total of 8 samples were used: normal samples (labeled as Female-1, Female-2, Female-3, Female-4, Male-1, Male-2) and 2 Trisomy 18 (labeled as 18#-1, 18#-2); (3) Sybr green qPCR was used to detect the contents of the following five genes: IL-10 gene on chromosome 1, STAT1 gene on chromosome 2, CXCR3 gene on chromosome X, TSPY1 gene on chromosome Y, and LINC01910 gene on chromosome 18#; (4) totally, 160 reactions were performed: 8 samples × 5 genes × 4 repeats = 160 reactions; (5) the total reaction volume of each reaction was 20 μL, 2 ng template DNA was used for normal samples, and 2 μL positive solution was used for Trisomy 18 sample. Because the positive solution is a commercially available product with a small volume (totally 5 μL), its amount was difficult to accurately control. Therefore, we chose 2 μL volume of Trisomy 18 positive solution as a compromise; (6) reaction conditions: 1 cycle: 95°C, 3 min; 69 cycles: 95°C 20 s, 55°C 30 s (this step to collect fluorescence signals); melting point curve detection: 65°C to 95°C, temperature rise gradient: 0.1°C, 10 s (this step to collect fluorescence signals).

Results

The first step to establish the new method was the preliminary evaluation and processing of the raw data

After obtaining the original data of Sybr green qPCR (Table 2), the data were preliminatively evaluated and processed: (1) calculate the mean value of the four experimental replicates (Table 3 was the example); (2) calculate the mean deviation (Table 3); (3) calculate the precision index: precision index = mean deviation/mean value of 4 experimental replicates (Table 3 was the example); (4) for data sets with precision index greater than 5%, carry out detailed data inspection (Pauta criterion, Chauvenet criterion, Grubbs criterion, Dixon criterion and Romanovsky criterion would be used to identify the data outlier for the data sets with precision index greater than 5%) [9]. for the entire data, we found that the data precision accuracy index of all samples for all genes was less than 5%. Therefore, there was no significant data outlier in all the data, which could be used for further data processing in the next step.

  IL10-1# STAT1-2# CXCR3-X TSPY1-Y LINC01910-18#
Female-1 28.896 32.017 28.443 36.721 27.926
Female-1 28.13 30.254 28.537 36.743 27.79
Female-1 28.258 30.419 28.861 35.992 27.962
Female-1 28.41 30.074 28.449 37.31 28.004
Female-2 27.884 30.005 28.933 34.954 27.702
Female-2 27.548 29.96 28.841 36.242 27.772
Female-2 27.728 29.915 28.859 34.816 27.772
Female-2 27.743 30.28 28.886 35.728 27.73
Male-1 29.283 35.295 30.254 26.56 28.816
Male-1 29.409 34.811 30.09 26.689 28.663
Male-1 28.988 32.688 29.925 26.506 28.929
Male-1 29.123 36.004 29.757 26.796 28.919
18#-1 34.525 37.728 32.9 43.768 33.804
18#-1 33.823 36.578 33.083 41.96 33.204
18#-1 33.92 36.448 33.486 37.957 32.973
18#-1 35.114 39.638 33.909 44.799 33.128

Table 2: Partial original data of Sybr green qPCR reaction: 4 samples × 5 genes × 4 replicates.

    IL10-1# STAT1-2# CXCR3-X TSPY1-Y LINC01910-18#
Female-1 Average 28.424 30.691 28.573 36.691 27.921
  Standard deviation 0.335 0.895 0.197 0.54 0.093
  Precision index 1.18% 2.92% 0.69% 1.47% 0.33%
Female-2 Average 27.726 30.04 28.88 35.435 27.744
  Standard deviation 0.138 0.164 0.04 0.671 0.034
  Precision index 0.50% 0.55% 0.14% 1.89% 0.12%
Male-1 Average 29.201 34.7 30.006 26.638 28.832
  Standard deviation 0.184 1.428 0.214 0.13 0.124
  Precision index 0.63% 4.12% 0.71% 0.49% 0.43%
18#-1 Average 34.346 37.598 33.345 42.121 33.277
  Standard deviation 0.599 1.476 0.449 3.014 0.364
  Precision index 1.74% 3.93% 1.35% 7.16% 1.09%

Table 3: Preliminary analysis and processing of partial raw data of Sybr green qPCR.

The second step to establish the new method was to determine the sex of the sample

After preliminary processing of the data, the sex type of the sample was determined: the value 2-(CT of CXCR3-CT of TSPY1) (quantity ratio of CXCR3 to TSPY1) was calculated, and if the value was greater than 1, the sample sex type was judged as female, and if the value was less than 1, the sample sex type was judged as male. This criterion was based on the basic fact that CXCR3 is on the X chromosome and TSPY1 is on the Y chromosome. The detailed principles of this sex determination method were published before [10]. Based on the criteria and data, it was easy to distinguish male samples from female samples. In addition, the sex type of two trisomy chromosome 18 samples was judged to be female (Table 4).

  2-(CXCR3-TSPY1) Sex type
Female-1 277.999 Female
Female-2 94.032 Female
Female-3 14.333 Female
Female-4 13.851 Female
Male-1 0.097 Male
Male-2 0.023 Male
18#-1 438.522 Female
18#-2 16.096 Female

Table 4: Judgment on the gender of the samples.

The third step to establish the new method was to calculate the index of Trisomy 18 and make a judgment based on that index

After determining the sex type of the sample, the trisomy index of chromosome 18 was calculated: (1) for the male sample, the trisomy index of chromosome 18 in males was calculated as 2-(CT of LINC00458-CT of IL-10)×2-(CT of LINC00458-CT of STAT1)×2-(CT of LINC00458-CT of CXCR3)×2-(CT of LINC01910-CT of TSPY1), which, in fact, was the multiplying value of the amount ratio between LINC01910 and IL-10, the amount ratio between LINC01910 and STAT1, the amount ratio between LINC01910 and CXCR3, and the amount ratio between LINC01910 and TSPY1 (Table 5); (2) for the female sample, the trisomy index of chromosome 18 in females was calculated as 2-(CT of LINC00458-CT of IL-10)×2-(CT of LINC00458-CT of STAT1)×2-(CT of LINC00458- CT of CXCR3), which, in fact, was the multiplying value of the amount ratio between LINC01910 and IL-10, the amount ratio between LINC01910 and STAT1, the amount ratio between LINC01910 and CXCR3. The female index missed the amount ratio between LINC01910 and TSPY1 because TSPTY1 was on the Y chromosome, while the female sample had no Y chromosome; (3) because the sex of the two Trisomy 18 were female, this study focused on the comparison of "female Trisomy 18 index" between the four normal female samples and the Trisomy 18 samples. It could be seen from Table 5 that for the four female samples, the indexes of Trisomy 18 were 15.19, 10.6, 0.81, 7.0 (average: 8.42; standard deviation: 6.08); meanwhile, the index for the two Trisomy 18 positive samples was 44.0 and 51.0 (average: 47.5; standard deviation: 4.95), which showed a very significant difference (P < 0.001), indicating that the index could effectively distinguish the Trisomy 18 female sample from the normal female sample.

  Index for Trisomy 18 Existence of Trisomy 18
Female-1 15.19 Not exist
Female-2 10.6 Not exist
Female-3 0.81 Not exist
Female-4 7 Not exist
18#-1 (female positive control) 44 Exist
18#-2 (female positive control) 51 Exist

Table 5: Judgment of existence of trisomy of chromosome 18.

Discussion

The newly established method had two main highlights. The first highlight was that the multiplying value of several ratios was used, which accumulates and magnifies the small increase of chromossome 18#, so that the examiner could easily identify the difference. The second highlight was that some of the random errors could be offset by the multiplying value of several ratios.

Because our Trisomy 18 positive samples were by chance female, we at this time could only establish the screening method for triomy 18 for the female fetus. In the future, if we could obtain the DNA samples from the Trisomy 18 male fetus, we would be able to establish the screening method for triomy 18 for the male fetus. Additionally, another drawback of our study was that this new method could not deal with the situation that the pregnant woman has the twin babies. So, further exploration should be continued [11].

Conclusions

Based on the above exploration, we originally created the trisomy index for chromosome 18 for the female fetus and finally, we established the new screening method or procedure for detecting Trisomy 18 for the female fetus: (1) obtain the amniotic fluid from the pregnant woman; (2) extract the genomic DNA from this amniotic fluid; (3) perform the Sybr green qPCR using the extracted genomic DNA as the template and using the primers listed in Table 1; (4) according to the qPCR data, judge the sex type of sample and calculate the Trisomy 18 index for the female, which was: the trisomy index of chromosome 18 is calculated as 2-(CT of LINC00458-CT of IL-10)×2-(CT of LINC00458-CT of STAT1)×2-(CT of LINC00458-CT of CXCR3); (5) if the sex type for the sample was female and the calculated Trisomy 18 index of the female was calculated bigger or near 47.5, there was high possibility for Trisomy 18 for this female fetus.

In summary, we initiated a pilot study to establish a simple, rapid and low-cost method for screening Trisomy 18 female fetuses from amniotic fluid puncture. The method established in this study could enhance and complement existing methods. This study opened up some new directions in the field of detection.

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Citation: Wan Q (2023) A Method of Screening for Trisomy 18 by DetectingAmniotic Fluid Punctures. Cell Mol Biol, 69: 301.

Copyright: © 2023 Wan Q. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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