BACKGROUND: Long QT Syndrome (LQTS) and Beckwith-Wiedemann Syndrome (BWS) are complex disorders with unclear origins, underscoring the need for in-depth molecular investigations into their mechanisms. The main aim of this study is to identify the shared key genes between LQTS and BWS, shedding light on potential common molecular pathways underlying these syndromes.
METHODS: The LQTS and BWS datasets are available for download from the GEO database. Differential expression genes (DEGs) were identified. Weighted gene co-expression network analysis (WGCNA) was used to detect significant modules and central genes. Gene enrichment analysis was performed. CIBERSORT was used for immune cell infiltration analysis. The predictive protein interaction (PPI) network of core genes was constructed using STRING, and miRNAs regulating central genes were screened using TargetScan.
RESULTS: Five hundred DEGs associated with Long QT Syndrome and Beckwith-Wiedemann Syndrome were identified. GSEA analysis revealed enrichment in pathways such as T cell receptor signaling, MAPK signaling, and adrenergic signaling in cardiac myocytes. Immune cell infiltration indicated higher levels of memory B cells and naive CD4 T cells. Four core genes (CD8A, ICOS, CTLA4, LCK) were identified, with CD8A and ICOS showing low expression in the syndromes and high expression in normal samples, suggesting potential inverse regulatory roles.
CONCLUSIONS: The expression of CD8A and ICOS is low in long QT syndrome and Beckwith-Wiedemann syndrome, indicating their potential as key genes in the pathogenesis of these syndromes. The identification of shared key genes between LQTS and BWS provides insights into common molecular mechanisms underlying these disorders, potentially facilitating the development of targeted therapeutic strategies.

Background Beckwith-Wiedemann syndrome (BWS) is an imprinting disorder caused by (epi)genetic alterations at 11p15. Because approximately 20% of patients test negative via molecular testing of peripheral blood leukocytes, the concept of Beckwith-Wiedemann spectrum (BWSp) was established to encompass a broader cohort with diverse and overlapping phenotypes. The prevalence of other overgrowth syndromes concealed within molecularly negative BWSp remains unexplored. Methods We conducted whole-exome sequencing (WES) on 69 singleton patients exhibiting molecularly negative BWSp. Variants were confirmed by Sanger sequencing or quantitative genomic PCR. We compared BWSp scores and clinical features between groups with classical BWS (cBWS), atypical BWS or isolated lateralised overgrowth (aBWS+ILO) and overgrowth syndromes identified via WES. Results Ten patients, one classified as aBWS and nine as cBWS, showed causative gene variants for Simpson-Golabi-Behmel syndrome (five patients), Sotos syndrome (two), Imagawa-Matsumoto syndrome (one), glycosylphosphatidylinositol biosynthesis defect 11 (one) or 8q duplication/9p deletion (one). BWSp scores did not distinguish between cBWS and other overgrowth syndromes. Birth weight and height in other overgrowth syndromes were significantly larger than in aBWS+ILO and cBWS, with varying intergroup frequencies of clinical features. Conclusion Molecularly negative BWSp encapsulates other syndromes, and considering both WES and clinical features may facilitate accurate diagnosis.

OBJECTIVE: As the most common feature of Beckwith-Wiedemann syndrome (BWS), macroglossia may influence the quality of life, maxillofacial growth, and speech development of children. The retrospective study aimed to investigate the therapeutic effect of partial glossectomy combined with radiofrequency ablation (RFA) for macroglossia patients in BWS.
METHODS: A retrospective study was conducted in BWS-derived macroglossia patients who underwent partial glossectomy combined with RFA from May 2019 to January 2021. In total, 35 patients consisting of 17 males and 18 females met the inclusion criteria and underwent surgery by the same plastic surgeon. Demographic characteristics, BWS features, operation details, preoperative and postoperative outcomes, satisfaction evaluations, and subgroup analysis were collected and assessed.
RESULTS: Of the 35 patients involved, the average age at the time of surgery was 14.05±8.08 months, and the average surgery duration was 48.17±6.72 minutes. Only 1 patient suffered ventral tongue wound dehiscence, and the rest of the patients did not develop any other complications. The severity and frequency of tongue protrusion, drooling, snoring, and feeding difficulty were significantly ameliorated. The patient\'s parents showed satisfaction towards the overall surgery, tongue\'s appearance, and tongue\'s motor function. Tongue\'s height decreased from 32.09±1.16 mm before the operation to 29.29±1.33 mm after the operation.
CONCLUSIONS: The partial glossectomy combined RFA exerts a safe, effective and viable technique to treat BWS-derived macroglossia.

Beckwith-Wiedemann syndrome (BWS) is an inherited disorder affecting 1 in 10,500 to 13,700 newborns worldwide. The disease is caused in a vast majority of patients by a molecular defect in the imprinted chromosome 11p15.5. Hereditary spherocytosis (HS) is a form of hemolytic anemia associated with a variety of mutations leading to congenital red blood cell (RBC) membrane defects. The prevalence of HS varies by geographic regions around the world, ranging from 1.2 in 100,000 in Asia to 1 in 2000 in Northern Europe.
Herein, we report for the first time a rare case diagnosed with co-existing BWS and HS. Based on the classical presentations, including macroglossia, hepatosplenomegaly, and macrosomia, the patient was first suspected with BWS. MS-MLPA confirmed the BWS diagnosis based on hypomethylation of maternal 11p15.5 (KCNQ1OT1), but no copy number variations in chromosome 11 was detected by CNV-seq. Nevertheless, to scrutinize molecular causes of other symptoms of the patient, including anemia, hyperbilirubinemia, and jaundice, a whole exome sequencing (WES) was performed. We identified a novel and de novo mutation in ANK1 gene (c.520delC). This frameshift mutation of ANK1 gene results in a truncated protein without important functional domains and impaired membrane stability and structure of the resultant red blood cells (RBCs), leading to a definitive diagnosis of HS.
The present case demonstrated that multiple genetic and epigenetic aberrations might co-exist in the complex genetic diseases. For such kind of complicated cases, the different types of molecular tests, such as WES and MS-MLPA, should be utilized in combination to reveal independent causal molecular events. The identifications from this study added new insights into the understanding of molecular mechanisms underlying the co-existing HS and BWS.

BACKGROUND: Beckwith-Wiedemann syndrome (BWS; OMIM 130650) is a rare overgrowth syndrome with tumor predisposition resulting from the abnormal expression or function of imprinted genes of the chromosome 11p15.5 imprinting gene cluster. The aim of this study was to identify the epigenotype-phenotype correlations of these patients using quantitative DNA methylation analysis.
METHODS: One hundred and four subjects with clinically suspected BWS were enrolled in this study. All of the subjects had been referred for diagnostic testing which was conducted using methylation profiling of H19-associated imprinting center (IC) 1 and KCNQ1OT1-associated IC2 in high-resolution melting analysis and methylation quantification with the MassARRAY assay. Correlations between the quantitative DNA methylation status and clinical manifestations of the enrolled subjects were analyzed.
RESULTS: Among the 104 subjects, 19 had IC2 hypomethylation, 2 had IC1 hypermethylation, and 10 had paternal uniparental disomy (pUPD). The subjects with IC2 hypomethylation were characterized by significantly more macroglossia but less hemihypertrophy compared to the subjects with pUPD (p < 0.05). For 19 subjects with IC2 hypomethylation, the IC2 methylation level was significantly different (p < 0.05) between the subjects with and without features including macroglossia (IC2 methylation level: 11.1% vs. 30.0%) and prenatal or postnatal overgrowth (8.5% vs. 16.9%). The IC2 methylation level was negatively correlated with birth weight z score (p < 0.01, n = 19) and birth height z score (p < 0.05, n = 13). For 36 subjects with clinically diagnosed BWS, the IC2 methylation level was negatively correlated with the BWS score (r = -0.592, p < 0.01). The IC1 methylation level showed the tendency of positive correlation with the BWS score without statistical significance (r = 0.137, p > 0.05).
CONCLUSIONS: Lower IC2 methylation and higher IC1 methylation levels were associated with greater disease severity in the subjects with clinically diagnosed BWS. Quantitative DNA methylation analysis using the MassARRAY assay could improve the detection of epigenotype-phenotype correlations, which could further promote better genetic counseling and medical care for these patients.

OBJECTIVE: We present detection of hypermethylation at H19 differentially methylated region (DMR) at amniocentesis in a fetus with overgrowth, distended abdomen and Beckwith-Wiedemann syndrome (BWS).
METHODS: A 31-year-old, gravida 2, para 1, woman was referred for genetic counseling at 22 weeks of gestation because of fetal overgrowth with fetal biometry equivalent to 24 weeks of gestation and a distended abdomen with an abdominal circumference equivalent to 26 weeks of gestation. She did not undergo any assisted reproductive technology during this pregnancy. Amniocentesis was performed at 23 weeks of gestation. Conventional cytogenetic analysis revealed a karyotype of 46,XX. Array comparative genomic hybridization analysis on the DNA extracted from uncultured amniocytes revealed no genomic imbalance. Methylation analysis on the DNA extracted from amniocytes revealed hypermethylation at H19DMR [imprinting center 1 (IC1)] and normal methylation at KvDMR1 (IC2). The methylation test confirmed the diagnosis of BWS in the fetus. The parents decided to continue the pregnancy. At 36 weeks of gestation, a 4000-g female baby was delivered with macroglossia, ear tags and creases, and an enlarged liver, consistent with the phenotype of BWS.
CONCLUSIONS: Prenatal diagnosis of fetal overgrowth should include a differential diagnosis of BWS, and methylation analysis of H19DMR (IC1) and KvDMR1 (IC2) is useful under such a circumstance.

OBJECTIVE: To explore the genetic basis for a couple with recurrent conceptions of fetus with abnormal longbones, and another couple with a history of omphalocele.
METHODS: Genomic DNA was extracted from the peripheral blood samples from both couples. All exons and flanking regions were analyzed with next generation sequencing. Candidate variants were verified by Sanger sequencing.
RESULTS: Couple one was found to be heterozygous for, a c.997+1G>T splice-site variant and a missence c.871G>A(p.Glu291Lys) variant of the ALPL gene. Both variants were predicted to be pathogenic and may result in reduced function or loss of alkaline phosphatase. For couple two, the wife was found to harbor a novel c.637_652 delins CCC variant of the CDKN1C gene. This deletion-insertion variant resulted in frame-shift and loss of function (p.Ala213Profs*55) of the CDKN1C protein. Maternally inherited CDKN1C LOF variant has been found to underlie Beckwith-Wiedemann syndrome (BWS), which may manifest as omphalocele.
CONCLUSIONS: Dispite the lack the direct proof from the lost fetuses, the variants of ALPL and CDKN1C genes can explain the recurrence of fetal malformations for both couples.

Beckwith-Wiedemann syndrome (BWS) is an imprinting disorder caused by (epi)genetic alterations. The incidence of monozygotic (MZ) twins in BWS is higher than in the general population. Most MZ twins with BWS are female and have phenotypical discordance: one twin is clinically diagnosed with BWS, while the other shows a mild or normal phenotype. The most frequent (epi)genetic alteration in MZ twins is loss of methylation of imprinting control region 2 (ICR2-LOM) at 11p15.5. Intriguingly, ICR2-LOM is usually found in the peripheral blood leukocytes (PBL) of both twins, even if they are clinically discordant. Here, we present a rare pair of MZ dichorionic diamniotic female twins with BWS and concordant phenotypes (a Beckwith-Wiedemann spectrum score of 5 in each twin). Molecular analysis of genomic DNA from PBL revealed ICR2-LOM in one twin but not the other. Our analyses suggest that ICR2-LOM occurred between days 1 and 3 after fertilization, followed by twinning. We speculate that during embryogenesis, ICR2-LOM cells were distributed to the hematopoietic stem cells in different ratios in the two fetuses, and also to commonly affected tissues, such as the tongue, in similar ratios, although we were unable to analyze any tissues other than PBL.

BACKGROUND: Beckwith-Wiedemann syndrome (BWS) is a genetic overgrowth disorder with variable clinical features and cancer predisposition. In this study, we aim to characterize the clinical features and molecular defects of BWS patients in China.
METHODS: Thirty-one patients with clinical suspicion of BWS were retrospectively recruited to the study from Shanghai Children\'s Hospital between January 2014 and December 2017. Clinical data, including demographics, clinical features, and molecular testing results were extracted and systematically analyzed.
RESULTS: Twenty-one patients with a BWS score ≥ 4 (6, IQR 4, 7) were clinically diagnosed with BWS, and 10 children with a BWS score ≥ 2 and < 4 (2, IQR 2, 3) were clinically suspected BWS patients. The most common cardinal feature of clinically diagnosed patients was macroglossia (71.4%) followed by lateralized overgrowth (33.3%) and exomphalos (14.3%), and the major suggestive features were umbilical hernia and/or diastasis recti (65.0%) and ear creases or pits (61.9%). Among 10 clinically suspected BWS patients, macroglossia and lateralized overgrowth were observed in 3 (30%) and 2 (20%) patients, and umbilical hernia and/or diastasis recti occurred in 7 (70.0%) patients. Seven (33.3%) clinically diagnosed patients and 3 (30%) suspected patients were identified with loss of methylation at KCNQ1OT1:TSS differentially methylated region (DMR; IC2 LOM), 5 (23.8%) clinically diagnosed BWS patients were identified with gain of methylation at H19/IGF2:IG-DMR (IC1 GOM), and 1 (4.8%) clinically diagnosed BWS patients was identified with paternal uniparental isodisomy 11 (pUPD11). The phenotype-genotype correlation analysis showed no significant difference among patients with IC2 LOM, IC1 GOM, and pUPD11.
CONCLUSIONS: The current study presents the first cohort study of BWS patients in mainland China. The clinical and molecular features of the patients are similar to those of other reported BWS patients in the Chinese population.

A kind of noncoding RNA with length more than 200 nucleotides named long noncoding RNA (lncRNA) has gained considerable attention in recent decades. Many studies have confirmed that human genome contains many thousands of lncRNAs. LncRNAs play significant roles in many important biological processes, including complex disease diagnosis, prognosis, prevention and treatment. For some important diseases such as cancer, lncRNAs have been novel candidate biomarkers. However, the role of lncRNAs in human diseases is still in its infancy, and only a small part of lncRNA-disease associations have been experimentally verified. Predicting lncRNA-disease association is an important way to understand the mechanism and function of lncRNA involved in diseases to enrich the annotations of lncRNA. Therefore, it is urgent to prioritize lncRNAs potentially associated with diseases. Biological system is a highly complex heterogenous network involved different molecules. Therefore, the algorithms based on network methods have been extensively applied in information fields which can provide a quantifiable characterization for the networks characterizing multifarious biological systems. A heterogeneous network topology possessing abundant interactions between biomedical entities is rarely utilized in similarity-based methods for predicting lncRNA-disease associations based on the array of varying features of lncRNAs and diseases. DeepWalk, encoding the relations of nodes in a continuous vector space, is an extension of language model and unsupervised learning from sequence-based word to network. In this article, we present a novel lncRNA-disease association prediction method based on DeepWalk, which enhances the existing association discovery methods through a topology-based similarity measure. We integrate the heterogeneous data to construct a Linked Tripartite Network which is a heterogeneous network containing three types od nodes which generated from bioinformatics linked datasets and use DeepWalk method to extract topological structure features of the nodes in the linked tripartite network for calculating similarities. Our proposed method can be separated into the following steps: Firstly, we integrate heterogeneous data to construct a Linked Tripartite Network: containing the topological interactions of known lncRNA-disease, lncRNA-microRNA and microRNA-disease. Secondly, the topological structure features of the nodes are extracted based on DeepWalk. Thirdly, similarity scores of disease-disease pairs and lncRNA-lncRNA pairs are computed based on the topology of this network. Finally, new lncRNA and disease associations are discovered by rule-based inference method with lncRNA-lncRNA similarities. Our proposed method shows superior predictive performance for prediction of lncRNA-disease associations based on topological similarity from heterogenous network. The AUC value is used to show the performance of our method. The similarity measurement using network topology based on DeepWalk provide a novel perspective which is different from the similarity derived from sequence or structure information. Availability: All the data and codes are freely availability at: https://github.com/Pengeace/lncRNA-disease-link.