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Kabuki syndrome (KS) is a rare genetic disorder characterized by distinct facial features, intellectual disability, and multiple congenital anomalies. We conducted a comprehensive analysis of the genetic and phenotypic spectrum of KS in a Taiwanese patient group of 23 patients. KMT2D variants were found in 22 individuals, with missense (26.1%), nonsense (21.7%), and frameshift (17.4%) variants being the most prevalent. One patient had a KMT2D variant of uncertain significance. The most common clinical characteristics included distinct facial features (100%), intellectual disability (100%), developmental delay (95.7%), speech delay (78.3%), hypotonia (69.6%), congenital heart abnormalities (69.6%), and recurrent infections (65.2%). Other abnormalities included hearing loss (39.1%), seizures (26.1%), cleft palate (26.1%), and renal anomalies (21.7%). This study broadens the mutational and phenotypic spectrum of KS in the Taiwanese population, highlighting the importance of comprehensive genetic testing and multidisciplinary clinical evaluations for diagnosis and treatment.

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Arabidopsis (Arabidopsis thaliana) HISTONE DEACETYLASE 6 (HDA6) and HISTONE DEMETHYLASES LSD-LIKE 1 (LDL1) and LDL2 synergistically regulate the expression of long non-coding RNAs associated with H3Ac and H3K4me2. The underlying mechanisms of such highly coordinated interactions among genetic and epigenetic factors contributing to this collaborative regulation remain largely unclear. We analyzed all transposable elements (TEs) across the Arabidopsis genome and the individual and combined roles of HDA6 and LDL1/LDL2 by dissecting multi-layered epigenomes and their association with transcription. Instead of an individual synergistic effect, we observed dual synergistic and antagonistic effects, which are positively associated with H3Ac and H3K4me2 while maintaining a negative but moderate association with DNA methylation. Specifically, two modes of synergistic regulation were discovered in TEs: 74% are primarily regulated by HDA6, with less dependence on LDL1/LDL2, and the remaining 26% are co-regulated by both. Between the two modes, we showed that HDA6 has a strong effect on TE silencing, whereas LDL1/LDL2 plays a weaker yet crucial role in co-regulation with HDA6. Our results led to a model of epigenomic regulation - the differential de-repression between the two modes of synergistic regulation of TEs was determined by H3Ac and H3K4me2 levels, where TEs are in accessible chromatins free of DNA methylation, and this open chromatin environment precedes transcriptional changes and epigenome patterning. Our results discovered unbalanced effects of genetic factors in synergistic regulation through delicately coordinated multi-layered epigenomes and chromatin accessibility.

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Pulmonary arteriovenous fistula (PAVF) is a rare congenital vascular malformation primarily manifested as dyspnea, migraine, ischemic stroke, hemoptysis, and nervous system complications. However, in our case, an 18-year-old male patient with PAVF presented with sudden onset of ventricular tachycardia and type 2 acute myocardial infarction as initial symptoms. A diagnosis was achieved through pulmonary artery computer tomography angiography (CTA) and three-dimensional (3D) computed tomography (CT) reconstruction, revealing a complex and giant PAVF. Following multidisciplinary team (MDT) consultation, the patient underwent thoracoscopic surgery and experienced a successful recovery during follow-up.

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In current genomic research, the widely used methods for predicting antimicrobial resistance (AMR) often rely on prior knowledge of known AMR genes or reference genomes. However, these methods have limitations, potentially resulting in imprecise predictions owing to incomplete coverage of AMR mechanisms and genetic variations. To overcome these limitations, we propose a pan-genome-based machine learning approach to advance our understanding of AMR gene repertoires and uncover possible feature sets for precise AMR classification. By building compacted de Brujin graphs (cDBGs) from thousands of genomes and collecting the presence/absence patterns of unique sequences (unitigs) for Pseudomonas aeruginosa, we determined that using machine learning models on unitig-centered pan-genomes showed significant promise for accurately predicting the antibiotic resistance or susceptibility of microbial strains. Applying a feature-selection-based machine learning algorithm led to satisfactory predictive performance for the training dataset (with an area under the receiver operating characteristic curve (AUC) of > 0.929) and an independent validation dataset (AUC, approximately 0.77). Furthermore, the selected unitigs revealed previously unidentified resistance genes, allowing for the expansion of the resistance gene repertoire to those that have not previously been described in the literature on antibiotic resistance. These results demonstrate that our proposed unitig-based pan-genome feature set was effective in constructing machine learning predictors that could accurately identify AMR pathogens. Gene sets extracted using this approach may offer valuable insights into expanding known AMR genes and forming new hypotheses to uncover the underlying mechanisms of bacterial AMR.

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Congenital heart defects (CHDs) affect a substantial proportion of patients with Kabuki syndrome. However, the prevalence and type of CHD and the genotype-phenotype correlations in Asian populations are not fully elucidated. This study performed a retrospective analysis of 23 Taiwanese patients with molecularly confirmed Kabuki syndrome. Twenty-two patients presented with pathogenic variants in the KMT2D gene. Comprehensive clinical assessments were performed. A literature review was conducted to summarize the spectrum of CHDs in patients with Kabuki syndrome. In total, 16 (73.9%) of 22 patients with pathogenic KMT2D variants had CHDs. The most common types of CHD were atrial septal defects (37.5%), ventricular septal defects (18.8%), coarctation of the aorta (18.8%), bicuspid aortic valve (12.5%), persistent left superior vena cava (12.5%), mitral valve prolapse (12.5%), mitral regurgitation (12.5%), and patent ductus arteriosus (12.5%). Other cardiac abnormalities were less common. Further, there were no clear genotype-phenotype correlations found. A literature review revealed similar patterns of CHDs, with a predominance of left-sided obstructive lesions and septal defects. In conclusion, the most common types of CHDs in Taiwanese patients with Kabuki syndrome who presented with KMT2D mutations are left-sided obstructive lesions and septal defects.

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Asthma is a diverse disease that affects over 300 million individuals globally. The prevalence of asthma has increased by 50% every decade since the 1960s, making it a serious global health issue. In addition to its associated high mortality, asthma generates large economic losses due to the degradation of patients' quality of life and the impairment of their physical fitness. Asthma research has evolved in recent years to fully analyze why certain diseases develop based on a variety of data and observations of patients' performance. The advent of new techniques offers good opportunities and application prospects for the development of asthma diagnosis methods. Over the last few decades, techniques like data mining and machine learning have been utilized to diagnose asthma. Nevertheless, these traditional methods are unable to address all of the difficulties associated with improving a small dataset to increase its quantity, quality, and feature space complexity at the same time. In this study, we propose a sustainable approach to asthma diagnosis using advanced machine learning techniques. To be more specific, we use feature selection to find the most important features, data augmentation to improve the dataset's resilience, and the extreme gradient boosting algorithm for classification. Data augmentation in the proposed method involves generating synthetic samples to increase the size of the training dataset, which is then utilized to enhance the training data initially. This could lessen the phenomenon of imbalanced data related to asthma. Then, to improve diagnosis accuracy and prioritize significant features, the extreme gradient boosting technique is used. The outcomes indicate that the proposed approach performs better in terms of diagnostic accuracy than current techniques. Furthermore, five essential features are extracted to help physicians diagnose asthma.

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BACKGROUND: The aim of this study was to build an auto-segmented artificial intelligence model of the atria and epicardial adipose tissue (EAT) on computed tomography (CT) images, and examine the prognostic significance of auto-quantified left atrium (LA) and EAT volumes for AF. METHODS AND RESULTS: This retrospective study included 334 patients with AF who were referred for catheter ablation (CA) between 2015 and 2017. Atria and EAT volumes were auto-quantified using a pre-trained 3-dimensional (3D) U-Net model from pre-ablation CT images. After adjusting for factors associated with AF, Cox regression analysis was used to examine predictors of AF recurrence. The mean (±SD) age of patients was 56±11 years; 251 (75%) were men, and 79 (24%) had non-paroxysmal AF. Over 2 years of follow-up, 139 (42%) patients experienced recurrence. Diabetes, non-paroxysmal AF, non-pulmonary vein triggers, mitral line ablation, and larger LA, right atrium, and EAT volume indices were linked to increased hazards of AF recurrence. After multivariate adjustment, non-paroxysmal AF (hazard ratio [HR] 0.6; 95% confidence interval [CI] 0.4-0.8; P=0.003) and larger LA-EAT volume index (HR 1.1; 95% CI 1.0-1.2; P=0.009) remained independent predictors of AF recurrence. CONCLUSIONS: LA-EAT volume measured using the auto-quantified 3D U-Net model is feasible for predicting AF recurrence after CA, regardless of AF type.

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BACKGROUND: Modifying the autonomic system after catheter ablation may prevent the recurrence of atrial fibrillation (AF). Evaluation of skin sympathetic nerve activity (SKNA) is a noninvasive method for the assessment of sympathetic activity. However, there are few studies on the effects of different energy settings on SKNA. OBJECTIVE: To investigate the changes in SKNA in different energy settings and their relationship to AF ablation outcomes. METHODS: Seventy-two patients with paroxysmal and persistent AF were enrolled. Forty-three patients received AF ablation with the conventional (ConV) energy setting (low power for long duration), and 29 patients using a high-power, short-duration (HPSD) strategy. The SKNA was acquired from the right arm 1 day before and after the radiofrequency ablation. We analyzed the SKNA and ablation outcomes in the different energy settings. RESULTS: Both groups had a similar baseline average SKNA (aSKNA). We found that the median aSKNA increased significantly from 446.82 µV to 805.93 µV (p = 0.003) in the ConV group but not in the HPSD group. In the ConV group, patients without AF recurrence had higher aSKNA values. However, the 1-year AF recurrence rate remained similar between both groups (35 % vs. 28 %, p = 0.52). CONCLUSION: The post-ablation aSKNA levels increased significantly in the ConV group but did not change significantly in the HPSD group, which may reflect different neuromodulatory effects. However, the one-year AF recurrence rates were similar for both groups. These results demonstrate that the HPSD strategy has durable lesion creation but less lesion depth, which may reduce collateral damage.

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Corona virus disease 2019(COVID-19)epidemic has been effectively controlled,but its related complications still cannot be ignored,especially the cardiovascular circulatory system is the active site of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Angiotensin-converting enzyme 2(ACE2)is a type Ⅰ transmembrane glycoprotein that is highly expressed in heart,kidney and testis.Spike protein of SARS-CoV-2 invades host cells by binding to the cell surface receptor ACE2.However,there are still many deficiencies in the clinical application of vaccines and drugs developed based on this target.As a molecular chaperone,cyclophilin A(CypA)promotes protein folding and T cell activation.CD147 is one of the most widely studied CypA receptors,and the interaction of CypA/CD147 plays an important role in the entry of SARS-CoV-2 into host cells.However,there are few reports on the invasion of SARS-CoV-2 into the cardiovascular system through the CypA/CD147 signaling pathway.Based on this,this article summarizes the previous research evidence and the research basis of the research group,and reviews the structure and function of CypA/CD147,the role of CypA/CD147 in cardiovascular disease,and the cardiovascular disease caused by SARS-CoV-2 targeting CypA/CD147 signal pathway,in order to provide reference for the diagnosis and treatment of the COVID-19 complicated with cardiovascular system diseases.

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BACKGROUND An aortopulmonary window (APW) is an uncommon congenital defect of the septation between the ascending aorta and pulmonary trunk. The combination of APW and interrupted aortic arch (IAA) is even rarer, with the hallmark characteristics of high peri-operative mortality and postoperative obstruction of the aortic arch, pulmonary artery, and left main bronchus. These complications often need re-interventions. CASE REPORT We present 2 cases with diagnoses of APW and IAA that were treated with single-stage repair. Case 1: A male 32-week premature newborn (weight 1789 g) had APW type I and IAA type A. He had severe postoperative aortic arch obstruction on postoperative day 1, and we re-intervened promptly. He was still asymptomatic after 6 years. Case 2: A male term neonate had APW type III and IAA type A. He had left vocal cord paralysis and left bronchial compression postoperatively. We applied prolonged noninvasive respiratory supports. The complications resolved without re-intervention on postoperative day 66. Progressive arch stenosis at anastomosis after operation required close follow-up with echocardiography. CONCLUSIONS These 2 reports highlight the feasibility of single-stage surgical repair while addressing 2 challenges: (1) Recurrent arch stenosis: Lower body weight and direct end-to-side anastomosis without patch augmentation could be risk factors for re-intervention. (2) Bronchial compression: Presentation of the second reported case implied that bronchial compression may not warrant immediate re-intervention unless there is complete obstruction, persistent atelectasis, or recurrent infection. Further studies on long-term outcomes of different surgical procedure would help us to clarify the proper way to avoid re-intervention.

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Background: 22q11.2 deletion syndrome (22q11.2DS) is a microdeletion syndrome exhibiting significant clinical phenotype variability. This study aimed to investigate the clinical features, immune profiles, and cognitive abilities of 22q11.2DS patients receiving treatment at MacKay Memorial Hospital in Taipei, Taiwan. Methods: This is a cross-sectional analysis between January 2001 and December 2022. We recruited 27 patients with 22q11.2DS using fluorescence in situ hybridization (FISH), multiplex ligation-dependent probe amplification (MLPA) and array comparative genomic hybridization (aCGH). Our evaluation included patient history, physical examination, laboratory analysis, and cardiac and cognitive assessment. Results: We included 27 patients with 22q11.2DS, 7 (25.9%) of whom were female. The median age of the patients was 17.9 yr. Ninety-three percent of the patients exhibited the characteristic facial features associated with the syndrome. A family history of 22q11.2DS was found in 11.1% of the patients. Furthermore, 74.1% of the patients had a congenital heart defect, the most common of which was tetralogy of Fallot (40.7%). Hypocalcemia was observed in 40.7% of the patients. A low T-cell count was observed in 66.7% of the patients, whereas 18.5% had low immunoglobulin levels. Cognitive assessments revealed that four out of six evaluated patients (66.7%) had an intellectual disability, as evidenced by intellectual quotient scores less than 70. The remaining two patients (33.3%) had a borderline intellectual function. Conclusion: Tetralogy of Fallot, hypocalcemia, immunologic defects, and cognitive impairment were common among our patients. To address the potential multisystem involvement, we recommend that all affected individuals undergo a comprehensive evaluation by a multidisciplinary care team.

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Post-COVID-19 pulmonary sequalae are well-recognized early in the pandemic. Survivorship clinics are crucial for managing at-risk patients. However, it is unclear who requires pulmonary function test (PFT) and when PFTs should be performed. We aim to investigate for whom and how these interval PFTs should be performed. We performed a single-centre, prospective cohort study on COVID-19 survivors between 1st May 2020 and 31st April 2022. These patients were followed up at 6, 9 and 12 months with interval PFT and Short Form-36 (SF-36) Health Survey. Those with PFT defects were offered a computed tomography scan of the thorax. Of the 46 patients recruited, 17 (37%) had severe/critical illness. Compared to those with mild/moderate disease, these patients were more likely to experience DLCO defects (59% versus 17%, p = 0.005) and had lower SF-36 scores (mean physical component summary score of 45 ± 12 versus 52 ± 8, p = 0.046). These differences were most notable at 6 months, compared to the 9- and 12-months intervals. DLCO defects were also associated with older age, raised inflammatory markers and extensive CXR infiltrates. Besides interstitial-like abnormalities, obesity and undiagnosed lung conditions accounted for 39% of the PFT abnormalities. Interval PFTs can be performed earliest 6 months post-COVID-19. Patients with normal tests were unlikely to develop new abnormalities and would not require repeat PFTs. Abnormal PFTs can be followed-up with repeat PFTs 6 monthly until resolution. Non-COVID-19 differentials should be considered for persistent PFT abnormalities.

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The cavum vergae cyst (CVC) is an uncommon brain malformation. Most patients with CVC are asymptomatic and do not require neurosurgical intervention. Separately, cerebral X-linked adrenoleukodystrophy (X-ALD) is one of the phenotypes of a genetic peroxisomal disorder that is seldom managed by neurosurgeons. We report an unusual case of cerebral X-ALD presenting as an enlarging CVC in a child, and discuss its nuances in corroboration with the literature. A previously well six-year-old male presented with confusion and fever. Urgent neuroimaging demonstrated a large CVC with resultant hydrocephalus. Of note, there were symmetrical areas of signal changes in the periventricular white matter bilaterally involving the corpus callosum, thalami, cerebral peduncles, midbrain, and pons in his MRI. Further investigations performed as part of his medical workup reported high plasma concentrations of very long-chain fatty acids (VLCFA). Put together, a diagnosis of cerebral X-ALD was confirmed. Initially, an external ventricular drain was inserted directly into the CVC under stereotaxy to decompress it. Subsequently, endoscopic fenestration of the CVC was performed as the definitive treatment. He recovered uneventfully from the neurosurgical interventions and proceeded for the treatment of his cerebral X-ALD. To our knowledge, this is the first report of cerebral X-ALD presenting as a CVC in a patient. This case adds to the limited literature for both rare conditions and highlights the importance of a multidisciplinary approach to management.

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Background: Predicting the resistance profiles of antimicrobial resistance (AMR) pathogens is becoming more and more important in treating infectious diseases. Various attempts have been made to build machine learning models to classify resistant or susceptible pathogens based on either known antimicrobial resistance genes or the entire gene set. However, the phenotypic annotations are translated from minimum inhibitory concentration (MIC), which is the lowest concentration of antibiotic drugs in inhibiting certain pathogenic strains. Since the MIC breakpoints that classify a strain to be resistant or susceptible to specific antibiotic drug may be revised by governing institutes, we refrained from translating these MIC values into the categories "susceptible" or "resistant" but instead attempted to predict the MIC values using machine learning approaches. Results: By applying a machine learning feature selection approach on a Salmonella enterica pan-genome, in which the protein sequences were clustered to identify highly similar gene families, we showed that the selected features (genes) performed better than known AMR genes, and that models built on the selected genes achieved very accurate MIC prediction. Functional analysis revealed that about half of the selected genes were annotated as hypothetical proteins (i.e., with unknown functional roles), and that only a small portion of known AMR genes were among the selected genes, indicating that applying feature selection on the entire gene set has the potential of uncovering novel genes that may be associated with and may contribute to pathogenic antimicrobial resistances. Conclusion: The application of the pan-genome-based machine learning approach was indeed capable of predicting MIC values with very high accuracy. The feature selection process may also identify novel AMR genes for inferring bacterial antimicrobial resistance phenotypes.

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BACKGROUND Kawasaki disease (KD), a systemic vasculitis, affects children aged <5 years and is the leading acquired cardiovascular disease in developed countries. Although intravenous immunoglobulin is an effective treatment for KD and decreases the rate of cardiovascular complications, some patients still develop coronary sequelae, including coronary aneurysms and myocardial infarction. CASE REPORT A 9-year-old boy was diagnosed with KD at the age of 6 years. For coronary sequelae of a giant coronary artery aneurysm (CAA) 8.8 mm in diameter, he was prescribed aspirin and warfarin. At 9 years old, he visited the Emergency Department because of acute chest pain. Electrocardiography revealed an incomplete right bundle branch block and ST-T change over right and inferior leads. Also, troponin I was elevated. Coronary angiography found acute thrombotic occlusion of the right CAA. We performed aspiration thrombectomy with intravenous tirofiban. Coronary angiography and optical coherence tomography (OCT) images later found white thrombi, calcification, destruction of media layer, irregular intimal thickening, and uneven intima edge. We prescribed antiplatelet therapy and warfarin, and he was doing well at a 3-year follow-up. CONCLUSIONS OCT is a promising modality that can impact the clinical care in patients with coronary artery disease. This report presents treatment management and OCT images of KD complicated with a giant CAA and acute myocardial infarction. We used aspiration thrombectomy in combination with medical treatments as the initial intervention strategy. Afterward, the OCT images showed vascular wall abnormalities, which were helpful for defining the future risk and decision making of further coronary interventions and medical treatments.

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We investigated the hemodynamic parameters of pediatric PDA patients and focused on the influence of PDA size on pulmonary arterial pressure and the prevalence of pulmonary hypertension. A total of 52 patients aged between 2 months and 20 years who received transcatheter closure of a PDA from January 2018 to June 2022 in our institution were retrospectively recruited. Their hemodynamic parameters collected both by echocardiography and by cardiac catheterization were analyzed to delineate the influence of PDA size on the pulmonary vascular system. The echocardiographic-based ductal size and indexed PDA size were 1.93 mm (1.15-6 mm) and 4.05 mm/m2 (2.03-25.47 mm/m2), respectively. The pulmonary artery pressure measured was 20.83 mmHg (8-45 mmHg). We found a positive correlation between indexed PDA size and mean pulmonary arterial pressure (mPAP) (Pearson correlation coefficient = 0.47, p < 0.001). A subgroup analysis showed that 28 patients (53.8%) developed pulmonary hypertension (PH) (defined as mPAP > 20 mmHg). The median age of the PH group was 1.02 years [range: 0.19-8.64], which was significantly younger than the non-PH group's median age of 3.43 years [range: 0.42-19.96] (p = 0.001). The indexed PDA size for the PH group, 4.69 mm/m2, was significantly higher than that of the non-PH group, 3.2 mm/m2 (p = 0.004). The major risk factor for patients with PH was the PDA/BSA index, with an OR of 2.181 (95% CI, 1.224-3.887). Our demographic data showed younger patients with a higher PDA/BSA index are more likely to develop pulmonary hypertension.

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OBJECTIVES: To mitigate the shortage of homograft sources, the use of handmade trileaflet expanded polytetrafluoroethylene valves in pulmonary valve replacement has shown excellent results from multicentre studies conducted in Japan. However, world-wide data outside Japan are relatively insufficient. This study presents the long-term results of a single surgeon's use of flipped-back trileaflet method in a 10-year case series. METHODS: We have developed an efficient way to make a trileaflet-valved conduit utilizing flipped-back method for pulmonary valve replacement and have employed the technique since 2011. Retrospective data were studied between October 2010 and January 2020. Echocardiography, electrocardiogram, Pro-Brain Natriuretic Peptide and Magnetic Resonance Imaging data were analysed. RESULTS: Fifty-five patients were reviewed and median follow-up duration was 2.9 years. The majority of diagnoses was Tetralogy of Fallot (n = 41), and these patients subsequently underwent secondary pulmonary valve replacement at a median age of 15.6 years. Survival was 92.7% with the longest follow-up period being 10 years. There was no need for reoperation, and freedom from reintervention was 98.0% at 10 years. There were 4 deaths (3 in-hospital and 1 outpatient). One patient eventually received transcatheter pulmonary valve implantation. Postoperative echocardiography showed mild or less pulmonary stenosis and pulmonary regurgitation degree in 92.2% and 92.0% of patients, respectively. Comparable magnetic resonance imaging data (n = 25) showed significant reduction in right ventricular volumes but not in ejection fractions. CONCLUSIONS: Our series showed satisfactory long-term function of handmade flipped-back trileaflet-valved conduit used in our patients. The simple design is efficiently reproducible without complex fabrication process.

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