Important Clinical Implications For Diagnosis Research Articles

Interpretable cardiac anatomy modeling using variational mesh autoencoders.

Cardiac anatomy and function vary considerably across the human population with important implications for clinical diagnosis and treatment planning. Consequently, many computer-based approaches have been developed to capture this variability for a wide range of applications, including explainable cardiac disease detection and prediction, dimensionality reduction, cardiac shape analysis, and the generation of virtual heart populations. In this work, we propose a variational mesh autoencoder (mesh VAE) as a novel geometric deep learning approach to model such population-wide variations in cardiac shapes. It embeds multi-scale graph convolutions and mesh pooling layers in a hierarchical VAE framework to enable direct processing of surface mesh representations of the cardiac anatomy in an efficient manner. The proposed mesh VAE achieves low reconstruction errors on a dataset of 3D cardiac meshes from over 1,000 patients with acute myocardial infarction, with mean surface distances between input and reconstructed meshes below the underlying image resolution. We also find that it outperforms a voxelgrid-based deep learning benchmark in terms of both mean surface distance and Hausdorff distance while requiring considerably less memory. Furthermore, we explore the quality and interpretability of the mesh VAE's latent space and showcase its ability to improve the prediction of major adverse cardiac events over a clinical benchmark. Finally, we investigate the method's ability to generate realistic virtual populations of cardiac anatomies and find good alignment between the synthesized and gold standard mesh populations in terms of multiple clinical metrics.

S2S-ARSNet: Sequence-to-Sequence automatic renal segmentation network

Accurate segmentation of kidney contours in diuretic renography has important implications for clinical diagnosis and treatments. However, the lack of clear boundaries and high-quality images makes automatic segmentation challenging. This paper proposes a novel automatic renal segmentation network, S2S-ARSNet, combining Convolutional Long Short-Term Memory (ConvLSTM) with the Unet structure. Unet is used to learn the spatial information of each sequence, and ConvLSTM is used to discover the temporal information between sequences and automatically update the temporal state of the sequence. Moreover, an additional pre-trained Unet is applied to generate coarse masks at different times to simulate the displacement that may occur during the detection process. In this way, the spatiotemporal information is modelled, and all the information of the 3D data is fully utilized to eliminate false positives and improve the segmentation accuracy. Extensive experiments were performed on the diuretic renography dataset. The experimental results show that the proposed method can significantly enhance the kidney segmentation performance compared with other single-image-based deep learning segmentation methods.

Phonological Processing, Visuospatial Skills, and Pattern Understanding in Chinese Developmental Dyscalculia

A number of previous studies have identified cognitive deficits in developmental dyscalculia (DD). Yet, most of these studies were in alphabetic languages, whereas few of them examined Chinese DD. Here, we conducted a study aiming to determine the cognitive factors associated with DD in Chinese children. Five candidate cognitive factors of DD—phonological retrieval, phonological awareness, visual–spatial attention, spatial thinking, and pattern understanding—were examined in the present study. A total of 904 Chinese children ages 8 to 11 years participated in this study. From the sample, 97 children were identified with DD through tests of arithmetic ability, and 93 age- and IQ-matched typically developing children were selected as controls. Logistic regression analysis revealed that phonological retrieval, pattern understanding, visual–spatial attention, and phonological awareness significantly predicted DD, whereas spatial thinking failed to do so. Results of logistic relative weights analysis showed that all five factors explained statistically significant amounts of variance in arithmetic scores. Phonological retrieval had the most influence on DD, followed by pattern understanding, visual–spatial attention, phonological awareness, and spatial thinking. These findings have important clinical implications for diagnosis and intervention of Chinese DD.

Screening for PIK3CA mutations among Saudi women with ovarian cancer

The study aimed to screen for PIK3CA gene mutations among Saudi women with Ovarian Cancer. The study included 298 Saudi women with epithelial ovarian cancers (EOC). DNA sequence analysis was employed to screen for the mutations. DNA sequence analysis of a coding region of exon 9 and 20 of PIK3CA gene revealed mutations in 37/298 (12.4%) EOC patients. About 21/37(56.8%) somatic mutations were identified in exons 9, and 16/37(43.2%) in exon 20. All analysed mutations were missense mutations, the frequencies of which varied from 2.7% to 43.2%. PIK3CA mutation was found to be significantly associated with age (p = .023), grade (p = .001) and histological types (p = .032). Only 6.6% of serous carcinomas and 3.8% of endometrioid had PIK3CA mutation. The Mutated PIK3CA gene was significantly involved in the pathogenesis of EOC among Saudi women. PIK3CA gene mutation and overexpression represent important clinical implications for diagnosis, and prognosis, which can be utilised for better EOC management. Impact statement What is already known on this subject? The detailed molecular and genetic phenomenon underlying the progression of these tumours is still unclear. Recently, the pathogenesis of ovarian cancer has been attributed to mutations of PIK3CA. What do the results of this study add? Mutation in the PIK3CA gene leads to altered PI3K/AKT signalling pathways responsible for the progression of the epithelial ovarian cancer. What are the implications of these findings for clinical practice and/or further research? The Mutated PIK3CA gene was significantly involved in the pathogenesis of EOC among Saudi women. PIK3CA gene mutation and overexpression represent important clinical implications for diagnosis, and prognosis, which can be utilised for better EOC management.

A deep learning based framework for the registration of three dimensional multi-modal medical images of the head

Image registration is a fundamental task in image analysis in which the transform that moves the coordinate system of one image to another is calculated. Registration of multi-modal medical images has important implications for clinical diagnosis, treatment planning, and image-guided surgery as it provides the means of bringing together complimentary information obtained from different image modalities. However, since different image modalities have different properties due to their different acquisition methods, it remains a challenging task to find a fast and accurate match between multi-modal images. Furthermore, due to reasons such as ethical issues and need for human expert intervention, it is difficult to collect a large database of labelled multi-modal medical images. In addition, manual input is required to determine the fixed and moving images as input to registration algorithms. In this paper, we address these issues and introduce a registration framework that (1) creates synthetic data to augment existing datasets, (2) generates ground truth data to be used in the training and testing of algorithms, (3) registers (using a combination of deep learning and conventional machine learning methods) multi-modal images in an accurate and fast manner, and (4) automatically classifies the image modality so that the process of registration can be fully automated. We validate the performance of the proposed framework on CT and MRI images of the head obtained from a publicly available registration database.

P1805UNEXPECTD COMPLEMENT GENES ABNORALITIES IN CHILDREN WITH SECONDARY HEMOLITIC UREMIC SYNDROME

Abstract Background and Aims Secondary hemolytic-uremic syndrome (HUS) is currently defined in the absence of genetic defects in complement genes (primary or atypical HUS, aHUS) or Shiga-toxin producing E. Coli infection (STEC-HUS). However, the role of complement genes abnormalities in secondary HUS is still a matter of debate as results coming from studies performed in adults are controversial. Moreover, genetic defects of complement regulation have been recently described in children with STEC-HUS, thus challenging the current HUS classification. The identification of a role of complement genes abnormalities in these patients could have important clinical implications for diagnosis and treatment. In this study, we assessed the presence of complement genes abnormalities in children with secondary HUS. Method We describe a case series of pediatric patients diagnosed with secondary HUS. All patients were screened for the presence of ADAMTS13 auto-antibody and ADAMTS13 deficiency. We performed next-generation sequencing for a panel of complement genes reported in association with aHUS (CFH, CFI, MCP, C3, FB, and THBD). Copy number variations and hybrid genes assessment were included in the analysis. Results Four patients aged 1-4 years with a diagnosis of sporadic secondary HUS were included in the study. HUS was secondary to glomerulopathy, cobalamin deficiency, bone marrow transplantation, and pneumococcal pneumoniae. Two out of four patients showed hypocomplementaemia (both C3 and C4). Diarrhea was a common clinical feature in all patients at onset, and none of these patients showed neurologic involvement. Renal replacement therapy was required in two patients at onset. Only one patient did not recover kidney function, and subsequently underwent kidney transplantation. Next-generation sequencing showed genetic abnormalities in all the patients (Table 1). All but one genetic variants have already been described in association with atypical HUS. Interestingly, haplotypes in CHF and MCP were present in three patients, all of Caucasian ethnicity. Conclusion According to the current HUS classification, complement abnormalities are diagnostic of aHUS. However, results coming from pediatric cohorts of STEC-HUS patients already claimed a role for genetic background also outside the aHUS spectrum, suggesting that the current terminology lacks both specificity and suggestion of cause. In this case series, complement genes abnormalities were present in all patients. Whether confirmed in larger cohorts, these findings would support the role of genetic background even in secondary HUS, suggesting the need for a revision of the current HUS classification, in agreement with the pathogenic mechanisms, in order to tailor the optimal treatment.

The CD24+ cell subset promotes invasion and metastasis in human osteosarcoma.

BackgroundOsteosarcoma is the most common primary aggressive bone tumor affecting children and young adolescents.Metastases are often resistant to conventional chemotherapy and mean short-term survival.Development of valuable diagnostic indicators and targeting agents will have important implications for clinical diagnosis by the identification and characterization of molecules that contribute to its aggressive behavior.MethodsWe examined differential expression levels of common stem cell markers in osteosarcoma parental and sphere cells. In addition, we further analyzed the changes of candidate common stem cell markers before and after in vitro chemotherapy of osteosarcoma cells. The biological functions of CD24+ subpopulation in osteosarcoma such as proliferation, migration, invasion, tumorigenesis and metastasis were systematically investigated, and the correlations of CD24 levels with prognosis in patients with osteosarcoma were analyzed.FindingsCD24+ Cells presented characteristics of TICs and resist drug-induced apoptosis. The prevention of tumor formation and metastasis by CD24 knockdown highlights the potential of CD24 as a therapeutic target for osteosarcoma. Moreover, the levels of CD24 in osteosarcoma samples were significantly correlated with the prognosis of patients.InterpretationCD24+ cell subset played an important role in osteosarcoma invasion and metastasis.FundingNational Natural Science Foundation of China (No.81772857); Shanghai Science and Technology Commission (18140902000); Shanghai Municipal Health Commission (2017ZZ01017; 17411950301)

Identification of biomarkers associated with progression and prognosis in bladder cancer via co-expression analysis.

Bladder cancer is one of the most common genitourinary malignancies, with a high rate of recurrence and progression. The prognosis for patients with bladder cancer, especially muscle-invasive bladder cancer, remains poor despite systemic therapy. To explore the underlying disease mechanisms and identify more effective biomarkers for bladder cancer. Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were applied to identify hub genes correlated with the bladder cancer progression. Survival analyses were then conducted to identify potential biomarkers correlated with the prognosis of bladder cancer. Finally, validation and analysis of these potential biomarkers were conducted by a series of bioinformatics analyses. Based on the results of weighted gene co-expression network analysis and protein-protein interaction network analysis, ten hub genes closely correlated with bladder cancer progression were identified in the relevant module. Survival analyses of these genes indicated that elevated expressions of six potential biomarkers (COL3A1, FN1, COL5A1, FBN1, COL6A1 and THBS2) were significantly associated with a worse overall survival. Furthermore, these 6 potential biomarkers were validated in association with the progression of bladder cancer. Bladder cancer samples with higher expression of these genes were most significantly enriched in gene set associated with ECM-receptor interaction. This study identified several biomarkers associated with bladder cancer progression and prognosis. As novel findings, these may have important clinical implications for diagnosis, treatment and prognosis prediction.

Crescentic glomerulonephritis with anti-GBM antibody but no glomerular deposition

BackgroundAnti-glomerular basement membrane (GBM) antibodies are highly specific for Goodpasture’s or anti-GBM disease, in which they are generally directed against the non-collagenous (NC1) domain of the alpha 3 chain of type IV collagen(α3(IV)), and less commonly, toward the α 4(IV) or α 5(IV) chains, which form a triple helical structure in GBM and alveolar basement membrane (ABM). Alterations in the hexameric structure of the NC1 (α3 (IV)), allows novel epitopes to be exposed and an immune response to develop, with subsequent linear antibody deposition along the GBM, leading to a crescentic glomerulonephritis. Positive anti-GBM antibodies are assumed to be pathogenic and capable of binding GBM in vivo, especially in the context of rapidly progressive glomerulonephritis.We have investigated patients with circulating anti-GBM antibodies, reactive to α3 (IV) and human GBM by immunoassays and Western blotting respectively, with focal necrotising crescentic glomerulonephritis but no linear GBM antibody deposition on immunohistochemistry. Three out of four were also ANCA positive. Despite not binding native GBM, patients’ sera showed linear binding to primate glomeruli by indirect immunofluorescence, in the 2 cases tested. Following treatment, significant improvements in kidney function were found in 3/4 patients.Case presentationWe present four patients with crescentic glomerulonephritis and circulating anti-GBM antibodies, but no glomerular binding.ConclusionsThese novel findings, demonstrate that in some patients anti-GBM antibodies may not bind their own GBM. This has important implications for clinical diagnosis, suggesting that histological confirmation of kidney injury by anti-GBM antibodies should be obtained, as non-binding GBM antibodies may be associated with significant renal recovery.

CT angiography for diagnosis and subcategorization of unroofed coronary sinus syndrome.

To evaluate the role of CT angiography (CTA) in the diagnosis and subcategorization of unroofed coronary sinus syndrome (URCS). We retrospectively analyzed 46 URCS patients diagnosed by CTA. Based on the defect location and size of coronary sinus (CS), URCS was divided into four types: complete defect as type I, partial defect of proximal CS as type II, partial defect of distal CS as type III, partial defect in which a communication occurs between CS and left atrial as type IV. According to presence of left superior vena cava (LSVC), all types were divided into 2 subtypes as a and b. All 46 patients underwent echocardiography. According to subcategorization of URCS by CTA, type I was observed in 23 cases (Ia 7, Ib 16), type II in 10 cases (IIa 3, IIb 7), type III in 12 cases (IIIa 3, IIIb 9), and type IV in 1 case classified as IVb subtype. In these 46 cases, 21 were detected by echocardiography as URCS (46%). The sensitivity of echocardiography in detecting URCS was significantly lower compared with cardiac CTA (P<0.05). In type I patients, the mean CS diameter indexed to body surface area (CS index) was larger than other types (P<0.05). Thirty patients were successfully treated by surgery and the diagnosis of URCS was confirmed by operative findings. Among them, data were available in 22 cases for analysis; and patients with types I, II and IIIa differ significantly from those with types IIIb and IV (P<0.05) with respect to surgical repair. CTA and imaging reconstruction can provide excellent anatomical delineation of the heart, great vessels, and CS, and allows for precise diagnosis of URCS. This CTA classification scheme of URCS is simple and easy to use, and has important clinical implications for diagnosis and treatment.

Distinguishing postpartum and antepartum depressive trajectories in a large population-based cohort: the impact of exposure to adversity and offspring gender.

Distinguishing temporal patterns of depressive symptoms during pregnancy and after childbirth has important clinical implications for diagnosis, treatment, and maternal and child outcomes. The primary aim of the present study was to distinguish patterns of chronically elevated levels of depressive symptoms v. trajectories that are either elevated during pregnancy but then remit after childbirth, v. patterns that increase after childbirth. The report uses latent growth mixture modeling in a large, population-based cohort (N = 12 121) to investigate temporal patterns of depressive symptoms. We examined theoretically relevant sociodemographic factors, exposure to adversity, and offspring gender as predictors. Four distinct trajectories emerged, including resilient (74.3%), improving (9.2%), emergent (4.0%), and chronic (11.5%). Lower maternal and paternal education distinguished chronic from resilient depressive trajectories, whereas higher maternal and partner education, and female offspring gender, distinguished the emergent trajectory from the chronic trajectory. Younger maternal age distinguished the improving group from the resilient group. Exposure to medical, interpersonal, financial, and housing adversity predicted membership in the chronic, emergent, and improving trajectories compared with the resilient trajectory. Finally, exposure to medical, interpersonal, and financial adversity was associated with the chronic v. improving group, and inversely related to the emergent class relative to the improving group. There are distinct temporal patterns of depressive symptoms during pregnancy, after childbirth, and beyond. Most women show stable low levels of depressive symptoms, while emergent and chronic depression patterns are separable with distinct correlates, most notably maternal age, education levels, adversity exposure, and child gender.

The microbiome in mechanically ventilated patients.

Discovery of a normal lung microbiome requires reassessment of our concepts of HAP/VAP pathogenesis and has important implications for clinical diagnosis and management. Changes in the microbiome of dental plaque are associated with increased risk of HAP/VAP. A transition to a lung microbiome enriched with gut flora is found in ARDS with an increased inflammatory response in patients with this change in microbial flora. A characteristic microbiome pattern of higher amounts of bacterial DNA, lower community diversity, and greater relative abundance of a single species characterize pneumonia and occasionally identify bacteria not found in culture. The influence of the microbiome makes probiotics a logical strategy to prevent or ameliorate HAP/VAP but so far clinical support is unclear. The presence of a normal lung microbiome and the interaction of that microbiome with other microbiota have an important but previously overlooked impact on the pathogenesis of HAP/VAP. Deep sequencing suggests that the repertoire of microorganisms and the pattern of bacterial communities associated with HAP/VAP remains incompletely understood but recent studies are adding greater clarity.

Recommended Guidelines for Validation, Quality Control, and Reporting of TP53 Variants in Clinical Practice.

Accurate assessment of TP53 gene status in sporadic tumors and in the germline of individuals at high risk of cancer due to Li-Fraumeni Syndrome (LFS) has important clinical implications for diagnosis, surveillance, and therapy. Genomic data from more than 20,000 cancer genomes provide a wealth of information on cancer gene alterations and have confirmed TP53 as the most commonly mutated gene in human cancer. Analysis of a database of 70,000 TP53 variants reveals that the two newly discovered exons of the gene, exons 9β and 9γ, generated by alternative splicing, are the targets of inactivating mutation events in breast, liver, and head and neck tumors. Furthermore, germline rearrange-ments in intron 1 of TP53 are associated with LFS and are frequently observed in sporadic osteosarcoma. In this context of constantly growing genomic data, we discuss how screening strategies must be improved when assessing TP53 status in clinical samples. Finally, we discuss how TP53 alterations should be described by using accurate nomenclature to avoid confusion in scientific and clinical reports. Cancer Res; 77(6); 1250-60. ©2017 AACR.

Tall cell variant of papillary thyroid carcinoma: current evidence on clinicopathologic features and molecular biology.

Tall cell variant (TCV) of papillary thyroid carcinoma (PTC) has been recognized for the past few decades as an entity showing aggressive biological behavior; however, there is considerable controversy regarding the definition, clinical and pathological features of TCV because of its rarity and difficult diagnosis. No clinical features can accurately diagnose TCV. Thus, the results of histocytology, immunohistochemistry and molecular genetics tests have important clinical implications for diagnosis. Given the aggressiveness and the increased recurrence and poor survival rates, more aggressive treatment approach and rigorous follow-up is required for patients with TCV. In the present article, we undertook a comprehensive review to summarize and discuss the various aspects of this variant, from morphology to immunohistochemistry, and molecular abnormalities from a practical and daily practice-oriented point of view.

Molecular pathologic diagnosis of epidermal growth factor receptor

Epidermal growth factor receptor (EGFR) was one of the first oncogenes identified in glioblastoma (GBM) and remains one of the most attractive therapeutic targets. Genomic alterations in EGFR are present in 57% of patients and are strikingly diverse, including gene amplification, rearrangements, and point mutations. Each aberration class has important clinical implications for diagnosis, prognosis, or therapeutic investigation of EGFR in clinical trials. Somatic copy number alterations (SCNAs) are the most common abnormalities in EGFR, with gene amplification present in >43% of patients. The presence of EGFR amplification is often used now to support the diagnosis of GBM and discriminate GBM from other gliomas. It is currently detected in clinical labs using fluorescence in situ hybridization, colorimetric in situ hybridization or, more recently multiplex genomic technologies such as array CGH or targeted next-generation sequencing approaches. Rearrangements of EGFR are most commonly internal deletions leading to activation of the receptor including EGFRvIII and, less commonly, EGFRvII and other variants, which are collectively seen in 25% of GBM patients. EGFRvIII is readily detected via mutation-specific antibodies, but heterogeneity of this and other deletion variants has hindered reliable detection of these aberrations using genomic DNA-based methods. RNA expression profiling (Nanostring and anchored multiplex PCR) has additional potential as a rapid and reliable strategy for detecting EGFR rearrangements with high sensitivity. Single nucleotide variants in EGFR are relatively rare and diverse but are efficiently detected using the targeted or exome-sequencing assays that are now entering clinical pathology practice. The advent of multiplex technologies has revealed the fact that multiple aberrations of EGFR are present in at least 30% of patients with EGFR disruption, a fact recently highlighted by more quantitative sequencing techniques and single cell analysis of GBM. Diagnostic assays used to evaluate EGFR and other receptor tyrosine kinases will therefore be increasingly used to measure and resolve this heterogeneity in order to better understand their mechanisms of resistance. In summary, the diagnostic approaches for identifying clinically relevant EGFR aberrations have rapidly advanced and are providing insights into more effective inhibition of this familiar oncogene in GBM and other cancers.

Phosphatidylinositol 3-kinase (PI3KCA) Oncogene Mutation Analysis and Gene Expression Profiling in Primary Breast Cancer Patients

The phosphatidylinositol 3-kinase (PI3K) pathway plays a significant role in apoptosis, cellular proliferation and motility. The aim of the present study was to analyze mutations and gene expression profiles of the PI3KCA gene to determine any role in breast carcinomas. We analyzed 38 breast cancers for mutations in the two PIK3CA hotspots in exons 9 and 20 by direct sequencing of DNA obtained from biopsy samples. We have also analyzed expression of the PI3KCA gene in 38 breast carcinoma tumor and corresponding control tissue samples at the mRNA level by RT-PCR. The Fisher's exact test (2?2 only) was performed using MedCalc software for to examine associations with mRNA levels. In the present study a total of 13 cases demonstrated somatic mutations. In 9/13 cases 1633 G>A (E545K) were found in exon 9, whereas in exon 20, 4/13 cases had 3140A>G mutation. Our combined analysis showed PI3KCA mutations present in 34% of human breast cancer patients. In our study, we have also clearly found significantly higher expression in breast cancer tissues in comparison with control tissues (p=0.001). PIK3CA mutation is an emerging tumor marker that, in the future, might be used in the process of choosing a treatment. The detection of PI3KCA mutation might have important clinical implications for diagnosis, progression and therapy.

Vaccines, Encephalopathies, and Mutations

De-Novo Mutations of the Sodium Channel Gene SCN1A in Alleged Vaccine Encephalopathy: A Retrospective Study. Berkovic SF, Harkin L, McMahon JM, Pelekanos JT, Zuberi SM, Wirrell EC, Gill DS, Iona X, Mulley JC, Scheffer IE. Lancet Neurol 2006;5:488–492. Background Vaccination, particularly for pertussis, has been implicated as a direct cause of an encephalopathy with refractory seizures and intellectual impairment. We postulated that cases of so-called vaccine encephalopathy could have mutations in the neuronal sodium channel α1 subunit gene ( SCN1A) because of a clinical resemblance to severe myoclonic epilepsy of infancy (SMEI) for which such mutations have been identified. Methods We retrospectively studied 14 patients with alleged vaccine encephalopathy in whom the first seizure occurred within 72 h of vaccination. We reviewed the relation to vaccination from source records and assessed the specific epilepsy phenotype. Mutations in SCN1A were identified by PCR amplification and denaturing high performance liquid chromatography analysis, with subsequent sequencing. Parental DNA was examined to ascertain the origin of the mutation. Results SCN1A mutations were identified in 11 of 14 patients with alleged vaccine encephalopathy; a diagnosis of a specific epilepsy syndrome was made in all 14 cases. Five mutations predicted truncation of the protein and six were missense in conserved regions of the molecule. In all nine cases where parental DNA was available the mutations arose de novo. Clinical-molecular correlation showed mutations in eight of eight cases with phenotypes of SMEI, in three of four cases with borderline SMEI, but not in two cases with Lennox–Gastaut syndrome. Conclusion Cases of alleged vaccine encephalopathy could in fact be a genetically determined epileptic encephalopathy that arose de novo. These findings have important clinical implications for diagnosis and management of encephalopathy and, if confirmed in other cohorts, major societal implications for the general acceptance of vaccination.

De-novo mutations of the sodium channel gene SCN1A in alleged vaccine encephalopathy: a retrospective study

Vaccination, particularly for pertussis, has been implicated as a direct cause of an encephalopathy with refractory seizures and intellectual impairment. We postulated that cases of so-called vaccine encephalopathy could have mutations in the neuronal sodium channel alpha1 subunit gene (SCN1A) because of a clinical resemblance to severe myoclonic epilepsy of infancy (SMEI) for which such mutations have been identified. We retrospectively studied 14 patients with alleged vaccine encephalopathy in whom the first seizure occurred within 72 h of vaccination. We reviewed the relation to vaccination from source records and assessed the specific epilepsy phenotype. Mutations in SCN1A were identified by PCR amplification and denaturing high performance liquid chromatography analysis, with subsequent sequencing. Parental DNA was examined to ascertain the origin of the mutation. SCN1A mutations were identified in 11 of 14 patients with alleged vaccine encephalopathy; a diagnosis of a specific epilepsy syndrome was made in all 14 cases. Five mutations predicted truncation of the protein and six were missense in conserved regions of the molecule. In all nine cases where parental DNA was available the mutations arose de novo. Clinical-molecular correlation showed mutations in eight of eight cases with phenotypes of SMEI, in three of four cases with borderline SMEI, but not in two cases with Lennox-Gastaut syndrome. Cases of alleged vaccine encephalopathy could in fact be a genetically determined epileptic encephalopathy that arose de novo. These findings have important clinical implications for diagnosis and management of encephalopathy and, if confirmed in other cohorts, major societal implications for the general acceptance of vaccination.

Genetics of familial paragangliomas: Past, present, and future

Genetic studies of hereditary paraganglioma tumors could increase the understanding of the biology of these fascinating tumors, with important clinical implications for diagnosis and treatment. This article focuses on the genetics of paraganglioma tumors, with limited reference to their general morphologic and clinical aspects. The paraganglioma tumor phenotype is defined. The genetic and physical mapping studies recently performed are summarized--studies that eventually led to the discovery of the gene for hereditary paraganglioma type 1 (PGL1). Finally, future directions stemming from the PGL gene discovery are described.

Asymmetry quantification utilizing hand radiographs.

Asymmetry can be either directional or fluctuating. Detection of abnormal amounts of asymmetry has important implications for clinical diagnosis, but measurement of subtle levels is very difficult. We describe a method and normative values for asymmetry quantification using hand radiographs.