Long-chain polyunsaturated fatty acids supplementation and sepsis: a systematic review and meta-analysis.

BACKGROUND: Long chain polyunsaturated fatty acids (LCPUFAs) have proven to be essential for development in preterm infants and have been studied for their capacity to reduce inflammation and infection rates, including sepsis in enteral and parenteral nutrition. The aim of this review and meta-analysis is to gather the information available on this subject to determine if n-3 polyunsaturated fatty acids can reduce sepsis incidence in preterm infants. METHODS: This systematic review was conducted by searching in the databases MEDLINE (via PubMed), ISI-Web of Science, EMBASE, SCOPUS, SciELO, and Cochrane Library databases. We analyzed the data regarding sepsis using the Grading of Recommendations Assessment, Development and Evaluation approach to assess the quality of the evidence. RESULTS: A total of 40 trials were included for review and 35 trials had the data available for quantitative analysis. LCPUFAs supplementation did not reduce incidence of sepsis (relative risk (RR), confidence interval (CI) 0.95 [0.87, 1.03] P = 0.87; I2 = 0%). These results remained consistent after the sensitivity analysis. CONCLUSION: The results of this systematic review and meta-analysis indicate that LCPUFA supplementation is not associated with a significant decrease in the incidence of sepsis in premature infants. IMPACT: Reviewing the information available about LCPUFA supplementation and sepsis since the results in previous Clinical Trials (CT) are inconclusive. It summarizes the results of 42 CT and we have not found conclusive results regarding sepsis in the literature. It could be of clinical interest for pediatricians and nutritionists.

Clinical and biochemical evolution after partial dietary liberalization of two cases of galactosemia due to galactose mutarotase deficiency.

BACKGROUND: The recommended diet attitude in the recently described galactose mutarotase (GALM) deficiency is not yet established. We describe two 9-years twins who remain asymptomatic despite prolonged partial dietary liberalization from 18 months of age, after two periods of galactose-free diet. It represents the second report in Europe of GALM deficiency. CASE PRESENTATION: Two male monochorionic diamniotic twins were detected through newborn screening by galactosuria and increased total blood galactose. They started galactose dietary restriction with biochemical normalization. After exclusion of the three previously described types of galactosemia, a progressively galactose reintroduction was initiated. The clinical follow-up developed include neurological assessment and intelligence quotient, annual ophthalmological evaluation and biannual abdominal ultrasound; whereas the biochemical assessment comprises quarterly determinations of galactose 1-phosphate and galactosuria and annual determination of liver and renal function, 25-OH-vitamin D and calcium levels. Sanger sequencing of GALM gene was complemented by the study of gene dose using SNPs array and a protein modeling to study the conformational changes induced in GALM protein. In both siblings a novel and complete deletion of exon 4 in GALM gene was detected. Both remained asymptomatic, with normal growth and intellectual development, despite dietary liberalization. Evolutionarily, the biochemical profile in blood remained normal with intermittent galactosuria. CONCLUSIONS: The absence of clinical involvement after 7 years of dietary liberalization is interesting to expand the knowledge about the recommended dietary management in this pathology.

Morquio A Syndrome: Identification of Differential Patterns of Molecular Pathway Interactions in Bone Lesions.

Mucopolysaccharidosis type IVA (MPS IVA; Morquio A syndrome) is a rare autosomal recessive lysosomal storage disease (LSD) caused by deficiency of a hydrolase enzyme, N-acetylgalactosamine-6-sulfate sulfatase, and characterized clinically by mainly musculoskeletal manifestations. The mechanisms underlying bone involvement in humans are typically explored using invasive techniques such as bone biopsy, which complicates analysis in humans. We compared bone proteomes using DDA and SWATH-MS in wild-type and MPS IVA knockout mice (UNT) to obtain mechanistic information about the disease. Our findings reveal over 1000 dysregulated proteins in knockout mice, including those implicated in oxidative phosphorylation, oxidative stress (reactive oxygen species), DNA damage, and iron transport, and suggest that lactate dehydrogenase may constitute a useful prognostic and follow-up biomarker. Identifying biomarkers that reflect MPS IVA clinical course, severity, and progression have important implications for disease management.

The clinical and biochemical hallmarks generally associated with GLUT1DS may be caused by defects in genes other than SLC2A1.

Glucose transporter 1 deficiency syndrome (GLUT1DS) is a neurometabolic disorder caused by haploinsufficiency of the GLUT1 glucose transporter (encoded by SLC2A1) leading to defective glucose transport across the blood-brain barrier. This work describes the genetic analysis of 56 patients with clinical or biochemical GLUT1DS hallmarks. 55.4% of these patients had a pathogenic variant of SLC2A1, and 23.2% had a variant in one of 13 different genes. No pathogenic variant was identified for the remaining patients. Expression analysis of SLC2A1 indicated a reduction in SLC2A1 mRNA in patients with pathogenic variants of this gene, as well as in one patient with a pathogenic variant in SLC9A6, and in three for whom no candidate variant was identified. Thus, the clinical and biochemical hallmarks generally associated with GLUT1DS may be caused by defects in genes other than SLC2A1.

Proteomics in Inherited Metabolic Disorders.

Inherited metabolic disorders (IMD) are rare medical conditions caused by genetic defects that interfere with the body's metabolism. The clinical phenotype is highly variable and can present at any age, although it more often manifests in childhood. The number of treatable IMDs has increased in recent years, making early diagnosis and a better understanding of the natural history of the disease more important than ever. In this review, we discuss the main challenges faced in applying proteomics to the study of IMDs, and the key advances achieved in this field using tandem mass spectrometry (MS/MS). This technology enables the analysis of large numbers of proteins in different body fluids (serum, plasma, urine, saliva, tears) with a single analysis of each sample, and can even be applied to dried samples. MS/MS has thus emerged as the tool of choice for proteome characterization and has provided new insights into many diseases and biological systems. In the last 10 years, sequential window acquisition of all theoretical fragmentation spectra mass spectrometry (SWATH-MS) has emerged as an accurate, high-resolution technique for the identification and quantification of proteins differentially expressed between healthy controls and IMD patients. Proteomics is a particularly promising approach to help obtain more information on rare genetic diseases, including identification of biomarkers to aid early diagnosis and better understanding of the underlying pathophysiology to guide the development of new therapies. Here, we summarize new and emerging proteomic technologies and discuss current uses and limitations of this approach to identify and quantify proteins. Moreover, we describe the use of proteomics to identify the mechanisms regulating complex IMD phenotypes; an area of research essential to better understand these rare disorders and many other human diseases.

Identification of Clinical Variants beyond the Exome in Inborn Errors of Metabolism.

Inborn errors of metabolism (IEM) constitute a huge group of rare diseases affecting 1 in every 1000 newborns. Next-generation sequencing has transformed the diagnosis of IEM, leading to its proposed use as a second-tier technology for confirming cases detected by clinical/biochemical studies or newborn screening. The diagnosis rate is, however, still not 100%. This paper reports the use of a personalized multi-omics (metabolomic, genomic and transcriptomic) pipeline plus functional genomics to aid in the genetic diagnosis of six unsolved cases, with a clinical and/or biochemical diagnosis of galactosemia, mucopolysaccharidosis type I (MPS I), maple syrup urine disease (MSUD), hyperphenylalaninemia (HPA), citrullinemia, or urea cycle deficiency. Eight novel variants in six genes were identified: six (four of them deep intronic) located in GALE, IDUA, PTS, ASS1 and OTC, all affecting the splicing process, and two located in the promoters of IDUA and PTS, thus affecting these genes' expression. All the new variants were subjected to functional analysis to verify their pathogenic effects. This work underscores how the combination of different omics technologies and functional analysis can solve elusive cases in clinical practice.

Plasma Proteomic Analysis in Morquio A Disease.

Mucopolysaccharidosis type IVA (MPS IVA) is a lysosomal disease caused by mutations in the gene encoding the enzymeN-acetylgalactosamine-6-sulfate sulfatase (GALNS), and is characterized by systemic skeletal dysplasia due to excessive storage of keratan sulfate (KS) and chondroitin-6-sulfate in chondrocytes. Although improvements in the activity of daily living and endurance tests have been achieved with enzyme replacement therapy (ERT) with recombinant human GALNS, recovery of bone lesions and bone growth in MPS IVA has not been demonstrated to date. Moreover, no correlation has been described between therapeutic efficacy and urine levels of KS, which accumulates in MPS IVA patients. The objective of this study was to assess the validity of potential biomarkers proposed by other authors and to identify new biomarkers. To identify candidate biomarkers of this disease, we analyzed plasma samples from healthy controls (n=6) and from untreated (n=8) and ERT-treated (n=5, sampled before and after treatment) MPS IVA patients using both qualitative and quantitative proteomics analyses. The qualitative proteomics approach analyzed the proteomic profile of the different study groups. In the quantitative analysis, we identified/quantified 215 proteins after comparing healthy control untreated, ERT-treated MPSIVA patients. We selected a group of proteins that were dysregulated in MPS IVA patients. We identified four potential protein biomarkers, all of which may influence bone and cartilage metabolism: fetuin-A, vitronectin, alpha-1antitrypsin, and clusterin. Further studies of cartilage and bone samples from MPS IVA patients will be required to verify the validity of these proteins as potential biomarkers of MPS IVA.

Characterization of a Novel Splicing Variant in Acylglycerol Kinase (AGK) Associated with Fatal Sengers Syndrome.

Mitochondrial functional integrity depends on protein and lipid homeostasis in the mitochondrial membranes and disturbances in their accumulation can cause disease. AGK, a mitochondrial acylglycerol kinase, is not only involved in lipid signaling but is also a component of the TIM22 complex in the inner mitochondrial membrane, which mediates the import of a subset of membrane proteins. AGK mutations can alter both phospholipid metabolism and mitochondrial protein biogenesis, contributing to the pathogenesis of Sengers syndrome. We describe the case of an infant carrying a novel homozygous AGK variant, c.518+1G>A, who was born with congenital cataracts, pielic ectasia, critical congenital dilated myocardiopathy, and hyperlactacidemia and died 20 h after birth. Using the patient's DNA, we performed targeted sequencing of 314 nuclear genes encoding respiratory chain complex subunits and proteins implicated in mitochondrial oxidative phosphorylation (OXPHOS). A decrease of 96-bp in the length of the AGK cDNA sequence was detected. Decreases in the oxygen consumption rate (OCR) and the OCR:ECAR (extracellular acidification rate) ratio in the patient's fibroblasts indicated reduced electron flow through the respiratory chain, and spectrophotometry revealed decreased activity of OXPHOS complexes I and V. We demonstrate a clear defect in mitochondrial function in the patient's fibroblasts and describe the possible molecular mechanism underlying the pathogenicity of this novel AGK variant. Experimental validation using in vitro analysis allowed an accurate characterization of the disease-causing variant.

Automated generation of decision-tree models for the economic assessment of interventions for rare diseases using the RaDiOS ontology.

OBJECTIVE: The development of decision models to assess interventions for rare diseases require huge efforts from research groups, especially regarding collecting and synthesizing the knowledge to parameterize the model. This article presents a method to reuse the knowledge collected in an ontology to automatically generate decision tree models for different contexts and interventions. MATERIAL AND METHODS: We updated the reference ontology (RaDiOS) to include more knowledge required to generate a model. We implemented a transformation tool (RaDiOS-MTT) that uses the knowledge stored in RaDiOS to automatically generate decision trees for the economic assessment of interventions on rare diseases. RESULTS: We used a case study to illustrate the potential of the tool, and automatically generate a decision tree that reproduces an actual study on newborn screening for profound biotinidase deficiency. CONCLUSIONS: RaDiOS-MTT allows research groups to reuse the evidence collected, and thus speeding up the development of health economics assessments for interventions on rare diseases.

Bone-Specific Drug Delivery for Osteoporosis and Rare Skeletal Disorders.

PURPOSE OF REVIEW: The skeletal system provides an important role to support body structure and protect organs. The complexity of its architecture and components makes it challenging to deliver the right amount of the drug into bone regions, particularly avascular cartilage lesions. In this review, we describe the recent advance of bone-targeting methods using bisphosphonates, polymeric oligopeptides, and nanoparticles on osteoporosis and rare skeletal diseases. RECENT FINDINGS: Hydroxyapatite (HA), a calcium phosphate with the formula Ca10(PO4)6(OH)2, is a primary matrix of bone mineral that includes a high concentration of positively charged calcium ion and is found only in the bone. This unique feature makes HA a general targeting moiety to the entire skeletal system. We have applied bone-targeting strategy using acidic amino acid oligopeptides into lysosomal enzymes, demonstrating the effects of bone-targeting enzyme replacement therapy and gene therapy on bone and cartilage lesions in inherited skeletal disorders. Virus or no-virus gene therapy using techniques of engineered capsid or nanomedicine has been studied preclinically for skeletal diseases. Efficient drug delivery into bone lesions remains an unmet challenge in clinical practice. Bone-targeting therapies based on gene transfer can be potential as new candidates for skeletal diseases.

Mucopolysaccharidosis IVA: Diagnosis, Treatment, and Management.

Mucopolysaccharidosis type IVA (MPS IVA, or Morquio syndrome type A) is an inherited metabolic lysosomal disease caused by the deficiency of the N-acetylglucosamine-6-sulfate sulfatase enzyme. The deficiency of this enzyme accumulates the specific glycosaminoglycans (GAG), keratan sulfate, and chondroitin-6-sulfate mainly in bone, cartilage, and its extracellular matrix. GAG accumulation in these lesions leads to unique skeletal dysplasia in MPS IVA patients. Clinical, radiographic, and biochemical tests are needed to complete the diagnosis of MPS IVA since some clinical characteristics in MPS IVA are overlapped with other disorders. Early and accurate diagnosis is vital to optimizing patient management, which provides a better quality of life and prolonged life-time in MPS IVA patients. Currently, enzyme replacement therapy (ERT) and hematopoietic stem cell transplantation (HSCT) are available for patients with MPS IVA. However, ERT and HSCT do not have enough impact on bone and cartilage lesions in patients with MPS IVA. Penetrating the deficient enzyme into an avascular lesion remains an unmet challenge, and several innovative therapies are under development in a preclinical study. In this review article, we comprehensively describe the current diagnosis, treatment, and management for MPS IVA. We also illustrate developing future therapies focused on the improvement of skeletal dysplasia in MPS IVA.

Characterization of New Proteomic Biomarker Candidates in Mucopolysaccharidosis Type IVA.

Mucopolysaccharidosis type IVA (MPS IVA) is a lysosomal storage disease caused by mutations in the N-acetylgalactosamine-6-sulfatase (GALNS) gene. Skeletal dysplasia and the related clinical features of MPS IVA are caused by disruption of the cartilage and its extracellular matrix, leading to a growth imbalance. Enzyme replacement therapy (ERT) with recombinant human GALNS has yielded positive results in activity of daily living and endurance tests. However, no data have demonstrated improvements in bone lesions and bone grow thin MPS IVA after ERT, and there is no correlation between therapeutic efficacy and urine levels of keratan sulfate, which accumulates in MPS IVA patients. Using qualitative and quantitative proteomics approaches, we analyzed leukocyte samples from healthy controls (n = 6) and from untreated (n = 5) and ERT-treated (n = 8, sampled before and after treatment) MPS IVA patients to identify potential biomarkers of disease. Out of 690 proteins identified in leukocytes, we selected a group of proteins that were dysregulated in MPS IVA patients with ERT. From these, we identified four potential protein biomarkers, all of which may influence bone and cartilage metabolism: lactotransferrin, coronin 1A, neutral alpha-glucosidase AB, and vitronectin. Further studies of cartilage and bone alterations in MPS IVA will be required to verify the validity of these proteins as potential biomarkers of MPS IVA.

Towards the automated economic assessment of newborn screening for rare diseases.

OBJECTIVE: Economic assessments of newborn screening programs for rare diseases involve the use of models and require huge efforts to synthesize information from different sources. Sharing and automatically or semi-automatically reusing this information for new assessments would be desirable, but it is not possible nowadays due to the lack of suitable tools. MATERIAL AND METHODS: We designed and implemented the Rare Diseases Ontology for Simulation (RaDiOS) after performing two reviews, and critically appraising the existing data repositories on rare diseases. The first review involved previous published economic assessments, and served to identify the main parameters required to model newborn screening. The second review aimed at locating existing data repositories potentially available to inform these parameters. RESULTS: We found key model parameters on epidemiology, screening methods, diagnose methods, pathogenesis, treatment and follow-up tests. We also identified seven data repositories directly related to rare diseases. None of such repositories was well-suited for the automated generation of simulation models. We incorporated the identified parameters as structured classes and properties of the new ontology (RaDiOS). We carefully set the relationships among the parameters so to allow automated inference from the ontology. CONCLUSIONS: RaDiOS is an ontology that serves as a data repository to automatically build simulation models for the economic assessment of newborn screening for rare diseases.

Asymmetric dimethylarginine as a potential biomarker for management and follow-up of phenylketonuria.

Phenylketonuria's (PKU) treatment based on low-protein diet may affect other metabolic pathways, such as that of asymmetric dimethylarginine (ADMA). The aim of this study was to evaluate the reliability of ADMA as a biomarker of adequate metabolic control and possible nutritional risk in a long-term PKU patient population. One hundred and six dietary-treated PKU patients from four hospitals in Spain were enrolled in this cross-sectional study. Their lipid profile, total homocysteine, ADMA, and symmetric dimethylarginine (SDMA) concentrations were analyzed and compared with a control group. Sensitivity, specificity, and likelihood ratios of the proposed biomarker were calculated. PKU patients had statistically significant lower plasmatic ADMA, SDMA, and arginine concentrations as compared with the control group (p < 0.001). Significant correlations were found between ADMA, phenylalanine, and total homocysteine levels. The ADMA/creatinine ratio correlated with phenylalanine levels as metabolic control and nutritional risk in PKU patients. Its reliability as a management biomarker was studied with positive results. The ADMA/creatinine ratio might serve as an independent biomarker in the management of PKU patients, different from blood phenylalanine levels. It could be of particular usefulness to detect those who are following an unbalanced diet that could have long-term negative effects.Conclusion: In this study, we have evaluated the reliability of ADMA as a potential biomarker of adequate metabolic control and possible nutritional risk in a long-term PKU patient population. What is Known: • Although PKU individuals have lower values of ADMA even with blood Phe levels in the recommended range, little attention is payed to other metabolic pathways. What is New: • ADMA could be used as new biomarker for PKU management and follow-up of the diet, after evaluating their reliability in a long-term PKU patient population.

Cohort study showed that growth rate increment has not been enough to prevent growth retardation of preterm infants and raised concerns about unbalanced growth.

AIM: We describe the postnatal weight gain, linear and head growth trends of surviving preterm infants from 2005 to 2017. METHODS: Multicentre cohort study, including surviving preterm infants <32 weeks (n = 21 084), from the Spanish Neonatal Network database, without major congenital malformations who were less than 50 weeks postmenstrual age at discharge. Outcomes were weight gain (g/kg/day), linear and head growth (cm/week) and changes in weight, length and head circumference z-scores from birth to discharge. The study period was divided into 2005-8, 2009-11, 2012-14 and 2015-17. RESULTS: Weight gain, linear growth and head growth were slightly higher in 2015-2017 than in 2005-2008: 12.2 ± 2.6 to 13.1 ± 2.5 g/kg/day, 0.98 ± 0.6 to 1.03 ± 0.6 cm/week and 0.76 ± 0.2 to 0.77 ± 0.3 cm/week, respectively. It was associated with a decreased fall in weigh, length and head circumference z-scores from birth to discharge (-1.32 ± 0.9 to -1.01 ± 0.84, -1.38 ± 1.2 to -1.18 ± 1.2 and -0.41 ± 1.2 to -0.33 ± 1.3, respectively). CONCLUSION: Postnatal growth restriction remained a common complication of prematurity despite some increment over the last years. Growth disproportionality seemed to be worsening as weight gain was increased more than linear growth.

Proteomic Analysis in Morquio A Cells Treated with Immobilized Enzymatic Replacement Therapy on Nanostructured Lipid Systems.

Morquio A syndrome, or mucopolysaccharidosis type IVA (MPS IVA), is a lysosomal storage disease due to mutations in the N-acetylgalactosamine-6-sulfatase (GALNS) gene. Systemic skeletal dysplasia and the related clinical features of MPS IVA are due to disruption of cartilage and its extracellular matrix, leading to an imbalance of growth. Enzyme replacement therapy (ERT) with recombinant human GALNS, alpha elosulfase, provides a systemic treatment. However, this therapy has a limited impact on skeletal dysplasia because the infused enzyme cannot penetrate cartilage and bone. Therefore, an alternative therapeutic approach to reach the cartilage is an unmet challenge. We have developed a new drug delivery system based on a nanostructure lipid carrier with the capacity to immobilize enzymes used for ERT and to target the lysosomes. This study aimed to assess the effect of the encapsulated enzyme in this new delivery system, using in vitro proteomic technology. We found a greater internalization of the enzyme carried by nanoparticles inside the cells and an improvement of cellular protein routes previously impaired by the disease, compared with conventional ERT. This is the first qualitative and quantitative proteomic assay that demonstrates the advantages of a new delivery system to improve the MPS IVA ERT.

Correction to: Age at disease onset and peak ammonium level rather than interventional variables predict the neurological outcome in urea cycle disorders.

Due to an unfortunate error during the typesetting process, the collaborators were presented incorrectly.

Prioritization of Variants Detected by Next Generation Sequencing According to the Mutation Tolerance and Mutational Architecture of the Corresponding Genes.

The biggest challenge geneticists face when applying next-generation sequencing technology to the diagnosis of rare diseases is determining which rare variants, from the dozens or hundreds detected, are potentially implicated in the patient's phenotype. Thus, variant prioritization is an essential step in the process of rare disease diagnosis. In addition to conducting the usual in-silico analyses to predict variant pathogenicity (based on nucleotide/amino-acid conservation and the differences between the physicochemical features of the amino-acid change), three important concepts should be borne in mind. The first is the "mutation tolerance" of the genes in which variants are located. This describes the susceptibility of a given gene to any functional mutation and depends on the strength of purifying selection acting against it. The second is the "mutational architecture" of each gene. This describes the type and location of mutations previously identified in the gene, and their association with different phenotypes or degrees of severity. The third is the mode of inheritance (inherited vs. de novo) of the variants detected. Here, we discuss the importance of each of these concepts for variant prioritization in the diagnosis of rare diseases. Using real data, we show how genes, rather than variants, can be prioritized by calculating a gene-specific mutation tolerance score. We also illustrate the influence of mutational architecture on variant prioritization using five paradigmatic examples. Finally, we discuss the importance of familial variant analysis as final step in variant prioritization.

Genotype and phenotype characterization in a Spanish cohort with isovaleric acidemia.

Isovaleric acidemia (IVA) is a rare disorder of leucine metabolism. We carried out a multicenter study of IVA patients diagnosed by newborn screening (NBS) or symptoms clinics over a period of 28 years in Spain. Evaluated at diagnosis, data included age, detection method, levels of C5 and IVG, enzymatic studies, clinical presentation parameters and genotype in 16 patients. Follow-up data included C5 levels, intellectual quotient and correlation genotype-phenotype. IVA was detected by NBS in 8 patients (prevalence of 1/326 629). Except 1, all the 8 patients identified by NBS were asymptomatic at diagnosis and had isovalerylcarnitine (C5) levels of 1.6-6.4 µM and isovalerylglycine (IVG) levels <1100 mmol per mol creatinine; they remained asymptomatic with a natural protein intake ⩾1.5 g kg-1 per day. Symptomatic patients with chronic intermittent or acute neonatal IVA had C5 levels of 3.9-16.3 µM and IVG levels >3400 mmol per mol creatinine. The percentage of isovalerate incorporation in fibroblasts was 64-80% in patients detected by NBS and 4.9-13% in symptomatic patients. Cognitive function was within normal ranges in all patients but was negatively correlated with IVG at detection (-0.592; P<0.05). The genetic analysis revealed nine novel mutations. The clinical/biochemical phenotype correlated fairly well with the phenotype predicted by the mutations found. In conclusion, although blood C5 levels have traditionally been considered the prognostic marker of choice, urine IVG levels would appear to be a better predictor, as they correlated well with severity of mutations and were associated with a lower incorporation rate of IVA in fibroblasts and a less favorable clinical course.

Clinical and genetic features of 13 Spanish patients with KCNQ2 mutations.

The KCNQ2 gene codifies a subunit of the voltage-gated potassium M channel underlying the neuronal M-current. Classically, mutations in this gene have been associated with benign familial neonatal seizures, however, in recent years KCNQ2 mutations have been reported associated to early-onset epileptic encephalopathy. In this work, detailed familiar, clinical and genetic data were collected for 13 KCNQ2-positive patients revealed among a cohort of 80 epileptic pediatric probands from Spain who were analyzed through a targeted next-generation sequencing assay for 155 epilepsy-associated genes. This work shows for the first time the association between KCNQ2 mutations and startle attacks in 38% of patients, which opens the possibility to define electroclinical phenotypes associated to KCNQ2 mutations. It also demonstrates that KCNQ2 mutations contribute to an important percentage of Spanish patients with epilepsy. The study confirm the high genetic heterogeneity of this gene with 13 different mutations found, 10 of them novel and the better outcome of patients treated with sodium channel blockers.