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Journal of Obstetrics and Gynaecology :... Dec 2023The aim of our study was to explore circular RNA (circRNA) expression profiles associated with human endometrial carcinoma (EC) and to analyse the molecular mechanisms...
The aim of our study was to explore circular RNA (circRNA) expression profiles associated with human endometrial carcinoma (EC) and to analyse the molecular mechanisms involved in cancer development and their potential clinical importance. Differential expression profiles were revealed by Arraystar human circRNA microarray analysis. The results of the circRNA microarray were confirmed by quantitative real-time PCR. Interactions between circRNAs and microRNAs (miRNAs) were predicted using Arraystar's miRNA target prediction software. The functions of the circRNA-miRNA coexpression network were identified by KEGG pathway analysis and GO analysis. Compared with para-tumorous tissues, 14 genes were significantly upregulated and 12 genes were significantly downregulated in EC tissues ( < 0.05). The quantitative real-time PCR data demonstrated consistency with the results of the microarray profile analysis. We generated a circRNA-miRNA coexpression network. Hsa_circRNA_079422 expression was significantly lower and miR-136-5p expression was higher in EC tissues than in normal endometrial tissues. KEGG pathway analysis and GO analysis indicated that hsa_circRNA_079422 might play roles in different signalling pathways and biological functions. We confirmed the presence of different circRNA expression profiles and predicted the circRNA-miRNA coexpression network in human EC tissues. Hsa_circRNA_079422 might be involved in the pathogenesis and biological process of EC via interactions with miRNAs.IMPACT STATEMENT? EC is a common malignancy of the female reproductive system. CircRNAs were demonstrated to exert critical roles in cancers, including EC.? The results of this study add circRNAs expression profiles, the circRNA-miRNA coexpression network and cancer-related circRNA-miRNA target genes in EC. It was first found that hsa_circRNA_079422 was downregulated, while miR-136-5p was upregulated in EC tissues.? In clinical practice, early EC diagnosis lacks specific biomarkers, so most EC patients are diagnosed at an advanced stage. In the management of EC patients, we also lack personalised adjuvant treatment that combines the clinical pathological characteristics. For the existing literature, we identified a new EC differential expression biomarker, hsa_circ_079422. It can be used to verify the correlation with EC clinical severity or poor prognosis. Its targeting can also be used to stratify EC patients with different molecular types, including to guide adjuvant therapy. In addition, we can verify and analyse regulatory pathways associated with it for the design of regulating engineering circRNA.
Topics: Humans; Female; RNA, Circular; Gene Regulatory Networks; MicroRNAs; Endometrial Neoplasms; Computational Biology
PubMed: 37408092
DOI: 10.1080/01443615.2023.2228894 -
Ultrasound in Obstetrics & Gynecology :... Jan 2024First, to determine the incremental yield of whole-genome sequencing (WGS) over quantitative fluorescence polymerase chain reaction (QF-PCR)/chromosomal microarray... (Meta-Analysis)
Meta-Analysis Review
Incremental yield of whole-genome sequencing over chromosomal microarray analysis and exome sequencing for congenital anomalies in prenatal period and infancy: systematic review and meta-analysis.
OBJECTIVES
First, to determine the incremental yield of whole-genome sequencing (WGS) over quantitative fluorescence polymerase chain reaction (QF-PCR)/chromosomal microarray analysis (CMA) with and without exome sequencing (ES) in fetuses, neonates and infants with a congenital anomaly that was or could have been detected on prenatal ultrasound. Second, to evaluate the turnaround time (TAT) and quantity of DNA required for testing using these pathways.
METHODS
This review was registered prospectively in December 2022. Ovid MEDLINE, EMBASE, MEDLINE (Web of Science), The Cochrane Library and ClinicalTrials.gov databases were searched electronically (January 2010 to December 2022). Inclusion criteria were cohort studies including three or more fetuses, neonates or infants with (i) one or more congenital anomalies; (ii) an anomaly which was or would have been detectable on prenatal ultrasound; and (iii) negative QF-PCR and CMA. In instances in which the CMA result was unavailable, all cases of causative pathogenic copy number variants > 50 kb were excluded, as these would have been detectable on standard prenatal CMA. Pooled incremental yield was determined using a random-effects model and heterogeneity was assessed using Higgins' I test. Subanalyses were performed based on pre- or postnatal cohorts, cases with multisystem anomalies and those meeting the NHS England prenatal ES inclusion criteria.
RESULTS
A total of 18 studies incorporating 902 eligible cases were included, of which eight (44.4%) studies focused on prenatal cohorts, incorporating 755 cases, and the remaining studies focused on fetuses undergoing postmortem testing or neonates/infants with congenital structural anomalies, constituting the postnatal cohort. The incremental yield of WGS over QF-PCR/CMA was 26% (95% CI, 18-36%) (I = 86%), 16% (95% CI, 9-24%) (I = 85%) and 39% (95% CI, 27-51%) (I = 53%) for all, prenatal and postnatal cases, respectively. The incremental yield increased in cases in which sequencing was performed in line with the NHS England prenatal ES criteria (32% (95% CI, 22-42%); I = 70%) and in those with multisystem anomalies (30% (95% CI, 19-43%); I = 65%). The incremental yield of WGS for variants of uncertain significance (VUS) was 18% (95% CI, 7-33%) (I = 74%). The incremental yield of WGS over QF-PCR/CMA and ES was 1% (95% CI, 0-4%) (I = 47%). The pooled median TAT of WGS was 18 (range, 1-912) days, and the quantity of DNA required was 100 ± 0 ng for WGS and 350 ± 50 ng for QF-PCR/CMA and ES (P = 0.03).
CONCLUSION
While WGS in cases with congenital anomaly holds great promise, its incremental yield over ES is yet to be demonstrated. However, the laboratory pathway for WGS requires less DNA with a potentially faster TAT compared with sequential QF-PCR/CMA and ES. There was a relatively high rate of VUS using WGS. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Topics: Female; Humans; Infant, Newborn; Pregnancy; Cohort Studies; DNA; Exome Sequencing; Microarray Analysis; Prenatal Diagnosis; Ultrasonography; Infant
PubMed: 37725747
DOI: 10.1002/uog.27491 -
Prenatal Diagnosis Aug 2023Unexplained stillbirth is defined as a stillbirth with no known cause after the exclusion of common causes, including obstetric complications, infections, placental... (Review)
Review
Unexplained stillbirth is defined as a stillbirth with no known cause after the exclusion of common causes, including obstetric complications, infections, placental insufficiency or abruption, umbilical cord complications, and congenital abnormalities with or without known genetic cause. More than 60% of stillbirth cases remain unexplained. The aim of this systematic review was to investigate the known genetic causes of unexplained stillbirth cases and to evaluate the current position and future directions for the use of genetic and genomic testing in expanding the knowledge in this field. A systematic search through several databases was performed using the keywords genetics and stillbirths in humans. Different methods to detect various types of causal genetic aberrations have been used in the past decades, from standard karyotyping to novel methods such as chromosomal microarray analysis and next generation sequencing technologies. Apart from common chromosomal aneuploidies, a promising hypothesis about genetic causes included genes related to cardiomyopathies and channelopathies. However, these were tested in the research settings, since molecular karyotyping is currently the standard approach in the routine evaluation of genetic causes of stillbirth. Hereby, we provide evidence that expanding knowledge using novel genetic and genomic testing might uncover new genetic causes of unexplained stillbirth.
Topics: Humans; Female; Pregnancy; Stillbirth; Placenta; Aneuploidy; Databases, Factual; Genetic Profile
PubMed: 37072878
DOI: 10.1002/pd.6354 -
Acta Obstetricia Et Gynecologica... Aug 2023Chromosomal aberrations are the most important etiological factors for birth defects. Optical genome mapping is a novel cytogenetic tool for detecting a broad range of...
INTRODUCTION
Chromosomal aberrations are the most important etiological factors for birth defects. Optical genome mapping is a novel cytogenetic tool for detecting a broad range of chromosomal aberrations in a single assay, but relevant clinical feasibility studies of optical genome mapping in prenatal diagnosis are limited.
MATERIAL AND METHODS
We retrospectively performed optical genome mapping analysis of amniotic fluid samples from 34 fetuses with various clinical indications and chromosomal aberrations detected through standard-of-care technologies, including karyotyping, fluorescence in situ hybridization, and/or chromosomal microarray analysis.
RESULTS
In total, we analyzed 46 chromosomal aberrations from 34 amniotic fluid samples, including 5 aneuploidies, 10 large copy number variations, 27 microdeletions/microduplications, 2 translocations, 1 isochromosome, and 1 region of homozygosity. Overall, 45 chromosomal aberrations could be confirmed by our customized analysis strategy. Optical genome mapping reached 97.8% concordant clinical diagnosis with standard-of-care methods for all chromosomal aberrations in a blinded fashion. Compared with the widely used chromosomal microarray analysis, optical genome mapping additionally determined the relative orientation and position of repetitive segments for seven cases with duplications or triplications. The additional information provided by optical genome mapping will be conducive to characterizing complex chromosomal rearrangements and allowing us to propose mechanisms to explain rearrangements and predict the genetic recurrence risk.
CONCLUSIONS
Our study highlights that optical genome mapping can provide comprehensive and accurate information on chromosomal aberrations in a single test, suggesting that optical genome mapping has the potential to become a promising cytogenetic tool for prenatal diagnosis.
Topics: Pregnancy; Female; Humans; Chromosome Disorders; In Situ Hybridization, Fluorescence; DNA Copy Number Variations; Retrospective Studies; Chromosome Aberrations; Prenatal Diagnosis; Chromosome Mapping
PubMed: 37366235
DOI: 10.1111/aogs.14613 -
Chemical Society Reviews Mar 2024Humans and other animals produce a diverse collection of antibodies, many of which bind to carbohydrate chains, referred to as glycans. These anti-glycan antibodies are... (Review)
Review
Humans and other animals produce a diverse collection of antibodies, many of which bind to carbohydrate chains, referred to as glycans. These anti-glycan antibodies are a critical part of our immune systems' defenses. Whether induced by vaccination or natural exposure to a pathogen, anti-glycan antibodies can provide protection against infections and cancers. Alternatively, when an immune response goes awry, antibodies that recognize self-glycans can mediate autoimmune diseases. In any case, serum anti-glycan antibodies provide a rich source of information about a patient's overall health, vaccination history, and disease status. Glycan microarrays provide a high-throughput platform to rapidly interrogate serum anti-glycan antibodies and identify new biomarkers for a variety of conditions. In addition, glycan microarrays enable detailed analysis of the immune system's response to vaccines and other treatments. Herein we review applications of glycan microarray technology for serum anti-glycan antibody profiling.
Topics: Animals; Humans; Polysaccharides; Antibodies; Carbohydrates; Vaccines; Microarray Analysis
PubMed: 38305761
DOI: 10.1039/d3cs00693j -
Frontiers in Bioinformatics 2024Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving...
Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving proteins, peptides, and antibodies, as well as in the fields of gene expression and genotyping. With the ever-increasing volume and intricacy of microarray data, an accurate, reliable and reproducible analysis is essential. Furthermore, there is a high level of variation in the format of microarrays. This not only holds true between different sample types but is also due to differences in the hardware used during the production of the arrays, as well as the personal preferences of the individual users. Therefore, there is a need for transparent, broadly applicable and user-friendly image quantification techniques to extract meaningful information from these complex datasets, while also addressing the challenges posed by specific microarray and imager formats, which can flaw analysis and interpretation. Here we introduce MicroArray Rastering Tool (MARTin), as a versatile tool developed primarily for the analysis of protein and peptide microarrays. Our software provides state-of-the-art methodologies, offering researchers a comprehensive tool for microarray image quantification. MARTin is independent of the microarray platform used and supports various configurations including high-density formats and printed arrays with significant and offsets. This is made possible by granting the user the ability to freely customize parts of the application to their specific microarray format. Thanks to built-in features like adaptive filtering and autofit, measurements can be done very efficiently and are highly reproducible. Furthermore, our tool integrates metadata management and integrity check features, providing a straightforward quality control method, along with a ready-to-use interface for in-depth data analysis. This not only promotes good scientific practice in the field of microarray analysis but also enhances the ability to explore and examine the generated data. MARTin has been developed to empower its users with a reliable, efficient, and intuitive tool for peptidomic and proteomic array analysis, thereby facilitating data-driven discovery across disciplines. Our software is an open-source project freely available via the GNU Affero General Public License licence on GitHub.
PubMed: 38405547
DOI: 10.3389/fbinf.2024.1329062 -
Journal of the American Heart... Sep 2023Background Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing...
Background Chromosomal microarray analysis (CMA) provides an opportunity to understand genetic causes of congenital heart disease (CHD). The methods for describing cardiac phenotypes in patients with CMA abnormalities have been inconsistent, which may complicate clinical interpretation of abnormal testing results and hinder a more complete understanding of genotype-phenotype relationships. Methods and Results Patients with CHD and abnormal clinical CMA were accrued from 9 pediatric cardiac centers. Highly detailed cardiac phenotypes were systematically classified and analyzed for their association with CMA abnormality. Hierarchical classification of each patient into 1 CHD category facilitated broad analyses. Inclusive classification allowing multiple CHD types per patient provided sensitive descriptions. In 1363 registry patients, 28% had genomic disorders with well-recognized CHD association, 67% had clinically reported copy number variants (CNVs) with rare or no prior CHD association, and 5% had regions of homozygosity without CNV. Hierarchical classification identified expected CHD categories in genomic disorders, as well as uncharacteristic CHDs. Inclusive phenotyping provided sensitive descriptions of patients with multiple CHD types, which occurred commonly. Among CNVs with rare or no prior CHD association, submicroscopic CNVs were enriched for more complex types of CHD compared with large CNVs. The submicroscopic CNVs that contained a curated CHD gene were enriched for left ventricular obstruction or septal defects, whereas CNVs containing a single gene were enriched for conotruncal defects. Neuronal-related pathways were over-represented in single-gene CNVs, including top candidate causative genes , , and . Conclusions Intensive cardiac phenotyping in multisite registry data identifies genotype-phenotype associations in CHD patients with abnormal CMA.
Topics: Child; Humans; Heart Defects, Congenital; Heart; Genomics; Heart Ventricles; Microarray Analysis
PubMed: 37681527
DOI: 10.1161/JAHA.123.029340 -
The Journal of Maternal-fetal &... Dec 2023To investigate the prenatal diagnostic value of chromosome microarray analysis (CMA) in fetuses with isolated or non-isolated umbilical cord cysts (UCCs) of various...
OBJECTIVE
To investigate the prenatal diagnostic value of chromosome microarray analysis (CMA) in fetuses with isolated or non-isolated umbilical cord cysts (UCCs) of various locations and numbers.
METHODS
Between November 2015 and November 2021, 45 pregnant women carrying fetuses with UCCs underwent amniocentesis and CMA. Fetal prognoses were followed from 6 months to 5 years.
RESULTS
Five cases (11.1%, 5/45) of chromosomal aberrations were detected. No significant difference in total chromosome abnormalities was found between fetuses with isolated and non-isolated UCCs (13.3% [2/15] vs 10% [3/30]; > .999). No common autosomal aneuploidies were found in fetuses with isolated UCCs. At follow-up, among 45 fetuses, there were 11 (24.4%) pregnancy terminations, 26 (57.8%) live healthy births, 4 (8.9%) postnatal UCC-related surgeries, and 4 (8.9%) live births of fetuses with other diseases. The frequency of postnatal surgeries of the infants with UCCs located adjacent to the anterior abdominal wall was higher than those located adjacent to the fetal surface of the placenta (30.8% [4/13] vs 0% [0/22]; = .014). All 26 live healthy neonates and 4 neonates that underwent postnatal surgery had an overall good prognosis.
CONCLUSIONS
For fetuses with isolated or non-isolated UCC, CMA could be a choice for parents after providing detailed information. Even when surgery was required, pregnancy outcomes and short- and long-term prognoses for fetuses with UCCs were favorable.
Topics: Infant, Newborn; Pregnancy; Female; Humans; Pregnancy Outcome; Prenatal Diagnosis; Chromosome Aberrations; Chromosomes; Fetus; Microarray Analysis; Umbilical Cord; Cysts
PubMed: 37088564
DOI: 10.1080/14767058.2023.2203793 -
American Journal of Obstetrics &... Sep 2023This study aimed to determine the incremental diagnostic yield of prenatal exome sequencing after negative chromosomal microarray analysis results in prenatally... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVE
This study aimed to determine the incremental diagnostic yield of prenatal exome sequencing after negative chromosomal microarray analysis results in prenatally diagnosed bilateral severe ventriculomegaly or hydrocephalus; another objective was to categorize the associated genes and variants.
DATA SOURCES
A systematic search was performed to identify relevant studies published until June 2022 using 4 databases (Cochrane Library, Web of Science, Scopus, and MEDLINE).
STUDY ELIGIBILITY CRITERIA
Studies in English reporting on the diagnostic yield of exome sequencing following negative chromosomal microarray analysis results in cases of prenatally diagnosed bilateral severe ventriculomegaly were included.
METHODS
Authors of cohort studies were contacted for individual participant data, and 2 studies provided their extended cohort data. The incremental diagnostic yield of exome sequencing was assessed for pathogenic/likely pathogenic findings in cases of: (1) all severe ventriculomegaly; (2) isolated severe ventriculomegaly (as the only cranial anomaly); (3) severe ventriculomegaly with other cranial anomalies; and (4) nonisolated severe ventriculomegaly (with extracranial anomalies). To be able to identify all reported genetic associations, the systematic review portion was not limited to any minimal severe ventriculomegaly case numbers; however, for the synthetic meta-analysis, we included studies with ≥3 severe ventriculomegaly cases. Meta-analysis of proportions was done using a random-effects model. Quality assessment of the included studies was performed using the modified STARD (Standards for Reporting of Diagnostic Accuracy Studies) criteria.
RESULTS
A total of 28 studies had 1988 prenatal exome sequencing analyses performed following negative chromosomal microarray analysis results for various prenatal phenotypes; this included 138 cases with prenatal bilateral severe ventriculomegaly. We categorized 59 genetic variants in 47 genes associated with prenatal severe ventriculomegaly along with their full phenotypic description. There were 13 studies reporting on ≥3 severe ventriculomegaly cases, encompassing 117 severe ventriculomegaly cases that were included in the synthetic analysis. Of all the included cases, 45% (95% confidence interval, 30-60) had positive pathogenic/likely pathogenic exome sequencing results. The highest yield was for nonisolated cases (presence of extracranial anomalies; 54%; 95% confidence interval, 38-69), followed by severe ventriculomegaly with other cranial anomalies (38%; 95% confidence interval, 22-57) and isolated severe ventriculomegaly (35%; 95% confidence interval, 18-58).
CONCLUSION
There is an apparent incremental diagnostic yield of prenatal exome sequencing following negative chromosomal microarray analysis results in bilateral severe ventriculomegaly. Although the greatest yield was found in cases of nonisolated severe ventriculomegaly, consideration should also be given to performing exome sequencing in cases of isolated severe ventriculomegaly as the only brain anomaly identified on prenatal imaging.
Topics: Pregnancy; Female; Humans; Exome Sequencing; Hydrocephalus; Cohort Studies
PubMed: 37311485
DOI: 10.1016/j.ajogmf.2023.101048 -
Journal of Ovarian Research Aug 2023Although n-hexane can induce ovarian damage by inducing ovarian granulosa cell (GC) apoptosis, the mechanism underlying this induction of apoptosis has not been fully...
Although n-hexane can induce ovarian damage by inducing ovarian granulosa cell (GC) apoptosis, the mechanism underlying this induction of apoptosis has not been fully elucidated. In this study, rat ovarian GCs were exposed to different concentrations of 2,5-hexanedione (2,5-HD) (the main metabolite of n-hexane) in vitro to observe apoptosis, and the mechanism was further explored via mRNA microarray analysis. Hoechst 33258 staining and flow cytometry suggested that the apoptosis rate of ovarian GC apoptosis was significantly increased in the 2,5-HD-treated group. Subsequently, microarray analysis revealed that a total of 5677 mRNAs were differentially expressed, and further GO and KEGG analyses revealed that the differentially expressed genes were significantly enriched in many signaling pathways, including the Hippo pathway. A total of 7 differentially expressed genes that function upstream of the Hippo signaling pathway (Nf2, Wwc1, Ajuba, Llgl1, Dlg3, Rassf6 and Rassf1) were selected to confirm the microarray results by qRT-PCR, and the expression of these genes did change. Subsequently, the expression of key effector genes (Yap1, Mst1 and Lats1) and target genes (Ctgf and Puma) of the Hippo signaling was measured, and the results suggested that the mRNA and protein levels of Yap1, Mst1, Lats1, and Ctgf were significantly decreased while those of Puma were significantly increased after 2,5-HD treatment. Further CO-IP analysis suggested that the interaction between YAP1 and TEAD was significantly reduced after 2,5-HD treatment, while the interaction between YAP1 and P73 was not affected. In summary, during the 2,5-HD-induced apoptosis of ovarian GCs, the Hippo signaling pathway is inhibited, and downregulation of the pro-proliferation gene Ctgf and upregulated of the pro-apoptosis gene Puma are important. Decreased Ctgf expression was associated with decreased binding of YAP1 to TEAD. However, increased PUMA expression was not associated with YAP1 binding to P73.
Topics: Rats; Animals; Female; Hippo Signaling Pathway; Apoptosis Regulatory Proteins; Protein Serine-Threonine Kinases; Granulosa Cells; Adaptor Proteins, Signal Transducing; Transcription Factors; Apoptosis; RNA, Messenger
PubMed: 37563629
DOI: 10.1186/s13048-023-01249-4