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160 result(s) for "Lyonnet, Stanislas"
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Diagnosis support systems for rare diseases: a scoping review
Introduction Rare diseases affect approximately 350 million people worldwide. Delayed diagnosis is frequent due to lack of knowledge of most clinicians and a small number of expert centers. Consequently, computerized diagnosis support systems have been developed to address these issues, with many relying on rare disease expertise and taking advantage of the increasing volume of generated and accessible health-related data. Our objective is to perform a review of all initiatives aiming to support the diagnosis of rare diseases. Methods A scoping review was conducted based on methods proposed by Arksey and O’Malley. A charting form for relevant study analysis was developed and used to categorize data. Results Sixty-eight studies were retained at the end of the charting process. Diagnosis targets varied from 1 rare disease to all rare diseases. Material used for diagnosis support consisted mostly of phenotype concepts, images or fluids. Fifty-seven percent of the studies used expert knowledge. Two-thirds of the studies relied on machine learning algorithms, and one-third used simple similarities. Manual algorithms were encountered as well. Most of the studies presented satisfying performance of evaluation by comparison with references or with external validation. Fourteen studies provided online tools, most of which aimed to support the diagnosis of all rare diseases by considering queries based on phenotype concepts. Conclusion Numerous solutions relying on different materials and use of various methodologies are emerging with satisfying preliminary results. However, the variability of approaches and evaluation processes complicates the comparison of results. Efforts should be made to adequately validate these tools and guarantee reproducibility and explicability.
Nuclear Outsourcing of RNA Interference Components to Human Mitochondria
MicroRNAs (miRNAs) are small non-coding RNAs that associate with Argonaute proteins to regulate gene expression at the post-transcriptional level in the cytoplasm. However, recent studies have reported that some miRNAs localize to and function in other cellular compartments. Mitochondria harbour their own genetic system that may be a potential site for miRNA mediated post-transcriptional regulation. We aimed at investigating whether nuclear-encoded miRNAs can localize to and function in human mitochondria. To enable identification of mitochondrial-enriched miRNAs, we profiled the mitochondrial and cytosolic RNA fractions from the same HeLa cells by miRNA microarray analysis. Mitochondria were purified using a combination of cell fractionation and immunoisolation, and assessed for the lack of protein and RNA contaminants. We found 57 miRNAs differentially expressed in HeLa mitochondria and cytosol. Of these 57, a signature of 13 nuclear-encoded miRNAs was reproducibly enriched in mitochondrial RNA and validated by RT-PCR for hsa-miR-494, hsa-miR-1275 and hsa-miR-1974. The significance of their mitochondrial localization was investigated by characterizing their genomic context, cross-species conservation and instrinsic features such as their size and thermodynamic parameters. Interestingly, the specificities of mitochondrial versus cytosolic miRNAs were underlined by significantly different structural and thermodynamic parameters. Computational targeting analysis of most mitochondrial miRNAs revealed not only nuclear but also mitochondrial-encoded targets. The functional relevance of miRNAs in mitochondria was supported by the finding of Argonaute 2 localization to mitochondria revealed by immunoblotting and confocal microscopy, and further validated by the co-immunoprecipitation of the mitochondrial transcript COX3. This study provides the first comprehensive view of the localization of RNA interference components to the mitochondria. Our data outline the molecular bases for a novel layer of crosstalk between nucleus and mitochondria through a specific subset of human miRNAs that we termed 'mitomiRs'.
Criss cross heart: an outflow tract defect?
Background Criss-cross heart (CCH) is a rare congenital malformation in which the atrioventricular inflow vectors are approximately perpendicular. CCH is associated with other defects including malposition of the great arteries, supero-inferior ventricles, and ventricular septal defects (VSD). A recent study in a mouse model demonstrates that CCH and associated malformations can be the result of a growth arrest of the outflow tract. In order to confront this hypothesis, we studied 16 cases of criss-cross heart with detailed anatomical description and clinical outcomes. Results All patients with criss-cross heart diagnosed in Necker –Enfants Malades Hospital from 1999 to 2022 were included in a retrospective study. Echocardiography, CT scans and anatomical MRIs were reviewed. Segmental analysis according to Van Praagh was SDL in 11 patients, SDD in 4 and SDA in 1. The ventricles were supero-inferior in 12 patients (75%). Ventriculo-arterial connections were always abnormal: double outlet right ventricle in 15/16 with a bilateral conus in 11 and a subaortic conus in 4, transposition of the great arteries in 1. The pulmonary valve was stenotic or atretic in 12 patients (75%). All patients had a VSD opening in the inlet of the right ventricle: inlet only in 8 patients, confluent inlet/outlet in 6, inlet with muscular extension in 2. Fifteen (94%) patients underwent surgery, univentricular repair in 13/16 (81%), biventricular in two. Conclusion Criss-cross heart is always associated with a malposition of the great vessels and a VSD, always of the inlet type. Anatomical characteristics are similar to the ones observed in the mouse model for CCH, suggesting similar developmental mechanisms. The malposition of the great vessels might be due to a defective growth of the outflow tract. The constant finding of a VSD of the inlet type is consistent with an abnormal rotation of the atrioventricular canal.
Somatic and germline activating mutations of the ALK kinase receptor in neuroblastoma
Neuroblastoma: a genetic link to ALK Neuroblastoma is the most common childhood cancer. There is a strong familial association and it was predicted over 30 years ago that there was a genetic element to the disease. Four groups now report the identification of mutations in the tyrosine kinase receptor ALK (anaplastic lymphoma kinase) in neuroblastoma patients. ALK acts as a neuroblastoma predisposition gene, and somatic point mutations occur in sporadic neuroblastoma cases. These mutations promote ALK's kinase activity and can transform cells and display tumorigenic activity in vivo . ALK inhibitors decrease neuroblastoma cell proliferation, so have potential as anticancer drugs. This is one of four papers in this issue that identifies mutations in the tyrosine kinase receptor ALK in neuroblastoma, the most frequent childhood cancer. ALK is found to be a neuroblastoma predisposition gene and somatic points mutations were found in sporadic cases of neuroblastoma. These mutations lead the ALK kinase activation and are able to transform cells and display tumourigenic activity in vivo . ALK inhibitors decrease neuroblastoma cell proliferating and are potential anti-cancer drugs for the treatment of neuroblastoma. Neuroblastoma, a tumour derived from the peripheral sympathetic nervous system, is one of the most frequent solid tumours in childhood 1 , 2 . It usually occurs sporadically but familial cases are observed, with a subset of cases occurring in association with congenital malformations of the neural crest being linked to germline mutations of the PHOX2B gene 1 , 2 , 3 , 4 . Here we conducted genome-wide comparative genomic hybridization analysis on a large series of neuroblastomas. Copy number increase at the locus encoding the anaplastic lymphoma kinase (ALK) 5 tyrosine kinase receptor was observed recurrently. One particularly informative case presented a high-level gene amplification that was strictly limited to ALK , indicating that this gene may contribute on its own to neuroblastoma development. Through subsequent direct sequencing of cell lines and primary tumour DNAs we identified somatic mutations of the ALK kinase domain that mainly clustered in two hotspots. Germline mutations were observed in two neuroblastoma families, indicating that ALK is a neuroblastoma predisposition gene. Mutated ALK proteins were overexpressed, hyperphosphorylated and showed constitutive kinase activity. The knockdown of ALK expression in ALK -mutated cells, but also in cell lines overexpressing a wild-type ALK , led to a marked decrease of cell proliferation. Altogether, these data identify ALK as a critical player in neuroblastoma development that may hence represent a very attractive therapeutic target in this disease that is still frequently fatal with current treatments 6 , 7 .
De novo mutations in SMCHD1 cause Bosma arhinia microphthalmia syndrome and abrogate nasal development
Jeanne Amiel, Bernd Wollnik, Bruno Reversade and colleagues report de novo missense mutations in SMCHD1 in patients with Bosma arhinia microphthalmia syndrome (BAMS) and isolated arhinia. Mechanistic studies support a key role for SMCHD1 in nasal development and suggest that the mutations in patients may function via a gain-of-function mechanism. Bosma arhinia microphthalmia syndrome (BAMS) is an extremely rare and striking condition characterized by complete absence of the nose with or without ocular defects. We report here that missense mutations in the epigenetic regulator SMCHD1 mapping to the extended ATPase domain of the encoded protein cause BAMS in all 14 cases studied. All mutations were de novo where parental DNA was available. Biochemical tests and in vivo assays in Xenopus laevis embryos suggest that these mutations may behave as gain-of-function alleles. This finding is in contrast to the loss-of-function mutations in SMCHD1 that have been associated with facioscapulohumeral muscular dystrophy (FSHD) type 2. Our results establish SMCHD1 as a key player in nasal development and provide biochemical insight into its enzymatic function that may be exploited for development of therapeutics for FSHD.
Germline deletion of the miR-17∼92 cluster causes skeletal and growth defects in humans
Andrea Ventura and colleagues report germline hemizygous deletions in the miR-17~92 cluster in individuals with features overlapping Feingold syndrome. Mice with targeted deletions in miR17~92 also display growth and skeletal defects. MicroRNAs (miRNAs) are key regulators of gene expression in animals and plants. Studies in a variety of model organisms show that miRNAs modulate developmental processes. To our knowledge, the only hereditary condition known to be caused by a miRNA is a form of adult-onset non-syndromic deafness 1 , and no miRNA mutation has yet been found to be responsible for any developmental defect in humans. Here we report the identification of germline hemizygous deletions of MIR17HG , encoding the miR-17∼92 polycistronic miRNA cluster, in individuals with microcephaly, short stature and digital abnormalities. We demonstrate that haploinsufficiency of miR-17∼92 is responsible for these developmental abnormalities by showing that mice harboring targeted deletion of the miR-17∼92 cluster phenocopy several key features of the affected humans. These findings identify a regulatory function for miR-17∼92 in growth and skeletal development and represent the first example of an miRNA gene responsible for a syndromic developmental defect in humans.
Treacher Collins syndrome: a clinical and molecular study based on a large series of patients
Treacher Collins/Franceschetti syndrome (TCS; OMIM 154500) is a disorder of craniofacial development belonging to the heterogeneous group of mandibulofacial dysostoses. TCS is classically characterized by bilateral mandibular and malar hypoplasia, downward-slanting palpebral fissures, and microtia. To date, three genes have been identified in TCS:,TCOF1, POLR1D, and POLR1C. We report a clinical and extensive molecular study, including TCOF1, POLR1D, POLR1C, and EFTUD2 genes, in a series of 146 patients with TCS. Phenotype–genotype correlations were investigated for 19 clinical features, between TCOF1 and POLR1D, and the type of mutation or its localization in the TCOF1 gene. We identified 92/146 patients (63%) with a molecular anomaly within TCOF1, 9/146 (6%) within POLR1D, and none within POLR1C. Among the atypical negative patients (with intellectual disability and/or microcephaly), we identified four patients carrying a mutation in EFTUD2 and two patients with 5q32 deletion encompassing TCOF1 and CAMK2A in particular. Congenital cardiac defects occurred more frequently among patients with TCOF1 mutation (7/92, 8%) than reported in the literature. Even though TCOF1 and POLR1D were associated with extreme clinical variability, we found no phenotype–genotype correlation. In cases with a typical phenotype of TCS, 6/146 (4%) remained with an unidentified molecular defect.
Next generation phenotyping for diagnosis and phenotype–genotype correlations in Kabuki syndrome
The field of dysmorphology has been changed by the use Artificial Intelligence (AI) and the development of Next Generation Phenotyping (NGP). The aim of this study was to propose a new NGP model for predicting KS (Kabuki Syndrome) on 2D facial photographs and distinguish KS1 (KS type 1, KMT2D -related) from KS2 (KS type 2, KDM6A -related). We included retrospectively and prospectively, from 1998 to 2023, all frontal and lateral pictures of patients with a molecular confirmation of KS. After automatic preprocessing, we extracted geometric and textural features. After incorporation of age, gender, and ethnicity, we used XGboost (eXtreme Gradient Boosting), a supervised machine learning classifier. The model was tested on an independent validation set. Finally, we compared the performances of our model with DeepGestalt (Face2Gene). The study included 1448 frontal and lateral facial photographs from 6 centers, corresponding to 634 patients (527 controls, 107 KS); 82 (78%) of KS patients had a variation in the KMT2D gene (KS1) and 23 (22%) in the KDM6A gene (KS2). We were able to distinguish KS from controls in the independent validation group with an accuracy of 95.8% (78.9–99.9%, p  < 0.001) and distinguish KS1 from KS2 with an empirical Area Under the Curve (AUC) of 0.805 (0.729–0.880, p < 0.001). We report an automatic detection model for KS with high performances (AUC 0.993 and accuracy 95.8%). We were able to distinguish patients with KS1 from KS2, with an AUC of 0.805. These results outperform the current commercial AI-based solutions and expert clinicians.
Arterial tortuosity syndrome: 40 new families and literature review
Purpose We delineate the clinical spectrum and describe the histology in arterial tortuosity syndrome (ATS), a rare connective tissue disorder characterized by tortuosity of the large and medium-sized arteries, caused by mutations in SLC2A10 . Methods We retrospectively characterized 40 novel ATS families (50 patients) and reviewed the 52 previously reported patients. We performed histology and electron microscopy (EM) on skin and vascular biopsies and evaluated TGF-β signaling with immunohistochemistry for pSMAD2 and CTGF. Results Stenoses, tortuosity, and aneurysm formation are widespread occurrences. Severe but rare vascular complications include early and aggressive aortic root aneurysms, neonatal intracranial bleeding, ischemic stroke, and gastric perforation. Thus far, no reports unequivocally document vascular dissections or ruptures. Of note, diaphragmatic hernia and infant respiratory distress syndrome (IRDS) are frequently observed. Skin and vascular biopsies show fragmented elastic fibers (EF) and increased collagen deposition. EM of skin EF shows a fragmented elastin core and a peripheral mantle of microfibrils of random directionality. Skin and end-stage diseased vascular tissue do not indicate increased TGF-β signaling. Conclusion Our findings warrant attention for IRDS and diaphragmatic hernia, close monitoring of the aortic root early in life, and extensive vascular imaging afterwards. EM on skin biopsies shows disease-specific abnormalities.
Consideration of oral health in rare disease expertise centres: a retrospective study on 39 rare diseases using text mining extraction method
Background Around 8000 rare diseases are currently defined. In the context of individual vulnerability and more specifically the one induced by rare diseases, ensuring oral health is a particularly important issue. The objective of the study is to evaluate the pattern of oral health care course for patients with any rare genetic disease. Description of oral phenotypic signs—which predict a theoretical dental health care course—and effective orientation into an oral healthcare were evaluated. Materials and methods We set up a retrospective cohort study to describe the consideration of patient oral health and potential orientation to an oral health care course who have at least been seen once between 1 January 2017 and 1 January 2020 in Necker Enfants Malades Hospital. We recruited patients from this study using the data warehouse, Dr Warehouse® (DrWH), from Necker-Enfants Malades Hospital. Results The study sample included 39 rare diseases, 2712 patients, with 54.7% girls and 45.3% boys. In the sample studied, 27.9% of patients had an acquisition delay or a pervasive developmental disorder. Among the patient files studied, oral and dental phenotypic signs were described for 18.40% of the patients, and an orientation in an oral healthcare was made in 15.60% of patients. The overall \"network\" effect was significantly associated with description of phenotypic signs (corrected p  = 1.44e−77) and orientation to an oral healthcare (corrected p  = 23.58e−44). Taking the Defiscience network (rare diseases of cerebral development and intellectual disability) as a reference for the odd ratio analysis, OSCAR, TETECOU, FILNEMUS, FIMARAD, MHEMO networks stand out from the other networks for their significantly higher consideration of oral phenotypic signs and orientation in an oral healthcare. Conclusion To our knowledge, no study has explored the management of oral health in so many rare diseases. The expected benefits of this study are, among others, a better understanding, and a better knowledge of the oral care, or at least of the consideration of oral care, in patients with rare diseases. Moreover, with the will to improve the knowledge on genetic diseases, oral heath must have a major place in the deep patient phenotyping. Therefore, interdisciplinary consultations with health professionals from different fields are crucial.