Identification and Characterization of a Novel CLCN7 Variant Associated
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The Mineralocorticoid Receptor Leads to Increased Expression of EGFR
www.nature.com/scientificreports OPEN The mineralocorticoid receptor leads to increased expression of EGFR and T‑type calcium channels that support HL‑1 cell hypertrophy Katharina Stroedecke1,2, Sandra Meinel1,2, Fritz Markwardt1, Udo Kloeckner1, Nicole Straetz1, Katja Quarch1, Barbara Schreier1, Michael Kopf1, Michael Gekle1 & Claudia Grossmann1* The EGF receptor (EGFR) has been extensively studied in tumor biology and recently a role in cardiovascular pathophysiology was suggested. The mineralocorticoid receptor (MR) is an important efector of the renin–angiotensin–aldosterone‑system and elicits pathophysiological efects in the cardiovascular system; however, the underlying molecular mechanisms are unclear. Our aim was to investigate the importance of EGFR for MR‑mediated cardiovascular pathophysiology because MR is known to induce EGFR expression. We identifed a SNP within the EGFR promoter that modulates MR‑induced EGFR expression. In RNA‑sequencing and qPCR experiments in heart tissue of EGFR KO and WT mice, changes in EGFR abundance led to diferential expression of cardiac ion channels, especially of the T‑type calcium channel CACNA1H. Accordingly, CACNA1H expression was increased in WT mice after in vivo MR activation by aldosterone but not in respective EGFR KO mice. Aldosterone‑ and EGF‑responsiveness of CACNA1H expression was confrmed in HL‑1 cells by Western blot and by measuring peak current density of T‑type calcium channels. Aldosterone‑induced CACNA1H protein expression could be abrogated by the EGFR inhibitor AG1478. Furthermore, inhibition of T‑type calcium channels with mibefradil or ML218 reduced diameter, volume and BNP levels in HL‑1 cells. In conclusion the MR regulates EGFR and CACNA1H expression, which has an efect on HL‑1 cell diameter, and the extent of this regulation seems to depend on the SNP‑216 (G/T) genotype. -
Marble Bone Disease: a Rare Bone Disorder
Open Access Case Report DOI: 10.7759/cureus.339 Marble Bone Disease: A Rare Bone Disorder Eswaran Arumugam 1 , Maheswari Harinathbabu 2 , Ranjani Thillaigovindan 1 , Geetha Prabhu 1 1. Prosthodontics, Thai Moogambigai Dental College and Hospital 2. Oral Medicine and Radiology, Siva Multi Speciality Dental Clinic Corresponding author: Eswaran Arumugam, [email protected] Abstract Osteopetrosis, or marble bone disease, is a rare skeletal disorder due to a defective function of the osteoclasts. This defect renders bones more susceptible to osteomyelitis due to decreased vascularity. This disorder is inherited as autosomal dominant and autosomal recessive. Healthcare professionals should urge these patients to maintain their oral health as well as general health, as this condition makes these patients more susceptible to frequent infections and fractures. This case report emphasizes the signs and symptoms of marble bone disease and presents clinical and radiographic findings. Categories: Physical Medicine & Rehabilitation, Miscellaneous Keywords: osteopetrosis, marble bone disease, autosomal recessive, dense sclerotic bone Introduction Osteopetrosis (literally "stone bone," also known as marble bone disease or Albers-Schonberg disease) is an extremely rare inherited disorder where the bones harden and become denser. The disorder can cause osteosclerosis. The estimated prevalence of osteopetrosis is 1 in 100,000 to 500,000. It presents in two major clinical forms-a benign autosomal dominant form and a malignant autosomal recessive form. The autosomal dominant adult (benign) form is associated with few, if any, symptoms, and the autosomal recessive infantile (malignant) form is typically fatal during infancy or early childhood if untreated [1]. A rarer autosomal recessive (intermediate) form presents during childhood with some signs and symptoms of malignant osteopetrosis. -
Difference in Allelic Expression of the CLCN1 Gene and the Possible Influence on the Myotonia Congenita Phenotype
European Journal of Human Genetics (2004) 12, 738–743 & 2004 Nature Publishing Group All rights reserved 1018-4813/04 $30.00 www.nature.com/ejhg ARTICLE Difference in allelic expression of the CLCN1 gene and the possible influence on the myotonia congenita phenotype Morten Dun1*, Eskild Colding-Jrgensen2, Morten Grunnet3,5, Thomas Jespersen3, John Vissing4 and Marianne Schwartz1 1Department of Clinical Genetics, 4062, University Hospital, Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark; 2Department of Clinical Neurophysiology 3063,University Hospital, Rigshospitalet, Blegdamsvej 9, DK- 2100 Copenhagen, Denmark; 3Department of Medical Physiology, The Panum Institute, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark; 4Department of Neurology and The Copenhagen Muscle Research Center, University Hospital, Rigshospitalet, Blegdamsvej 9, DK-2100 Copenhagen, Denmark Mutations in the CLCN1 gene, encoding a muscle-specific chloride channel, can cause either recessive or dominant myotonia congenita (MC). The recessive form, Becker’s myotonia, is believed to be caused by two loss-of-function mutations, whereas the dominant form, Thomsen’s myotonia, is assumed to be a consequence of a dominant-negative effect. However, a subset of CLCN1 mutations can cause both recessive and dominant MC. We have identified two recessive and two dominant MC families segregating the common R894X mutation. Real-time quantitative RT-PCR did not reveal any obvious association between the total CLCN1 mRNA level in muscle and the mode of inheritance, but the dominant family with the most severe phenotype expressed twice the expected amount of the R894X mRNA allele. Variation in allelic expression has not previously been described for CLCN1, and our finding suggests that allelic variation may be an important modifier of disease progression in myotonia congenita. -
Inherited Renal Tubulopathies—Challenges and Controversies
G C A T T A C G G C A T genes Review Inherited Renal Tubulopathies—Challenges and Controversies Daniela Iancu 1,* and Emma Ashton 2 1 UCL-Centre for Nephrology, Royal Free Campus, University College London, Rowland Hill Street, London NW3 2PF, UK 2 Rare & Inherited Disease Laboratory, London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children National Health Service Foundation Trust, Levels 4-6 Barclay House 37, Queen Square, London WC1N 3BH, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-2381204172; Fax: +44-020-74726476 Received: 11 February 2020; Accepted: 29 February 2020; Published: 5 March 2020 Abstract: Electrolyte homeostasis is maintained by the kidney through a complex transport function mostly performed by specialized proteins distributed along the renal tubules. Pathogenic variants in the genes encoding these proteins impair this function and have consequences on the whole organism. Establishing a genetic diagnosis in patients with renal tubular dysfunction is a challenging task given the genetic and phenotypic heterogeneity, functional characteristics of the genes involved and the number of yet unknown causes. Part of these difficulties can be overcome by gathering large patient cohorts and applying high-throughput sequencing techniques combined with experimental work to prove functional impact. This approach has led to the identification of a number of genes but also generated controversies about proper interpretation of variants. In this article, we will highlight these challenges and controversies. Keywords: inherited tubulopathies; next generation sequencing; genetic heterogeneity; variant classification. 1. Introduction Mutations in genes that encode transporter proteins in the renal tubule alter kidney capacity to maintain homeostasis and cause diseases recognized under the generic name of inherited tubulopathies. -
SKELETAL DYSPLASIA Dr Vasu Pai
SKELETAL DYSPLASIA Dr Vasu Pai Skeletal dysplasia are the result of a defective growth and development of the skeleton. Dysplastic conditions are suspected on the basis of abnormal stature, disproportion, dysmorphism, or deformity. Diagnosis requires Simple measurement of height and calculation of proportionality [<60 inches: consideration of dysplasia is appropriate] Dysmorphic features of the face, hands, feet or deformity A complete physical examination Radiographs: Extremities and spine, skull, Pelvis, Hand Genetics: the risk of the recurrence of the condition in the family; Family evaluation. Dwarf: Proportional: constitutional or endocrine or malnutrition Disproportion [Trunk: Extremity] a. Height < 42” Diastrophic Dwarfism < 48” Achondroplasia 52” Hypochondroplasia b. Trunk-extremity ratio May have a normal trunk and short limbs (achondroplasia), Short trunk and limbs of normal length (e.g., spondylo-epiphyseal dysplasia tarda) Long trunk and long limbs (e.g., Marfan’s syndrome). c. Limb-segment ratio Normal: Radius-Humerus ratio 75% Tibia-Femur 82% Rhizomelia [short proximal segments as in Achondroplastics] Mesomelia: Dynschondrosteosis] Acromelia [short hands and feet] RUBIN CLASSIFICATION 1. Hypoplastic epiphysis ACHONDROPLASTIC Autosomal Dominant: 80%; 0.5-1.5/10000 births Most common disproportionate dwarfism. Prenatal diagnosis: 18 weeks by measuring femoral and humeral lengths. Abnormal endochondral bone formation: zone of hypertrophy. Gene defect FGFR fibroblast growth factor receptor 3 . chromosome 4 Rhizomelic pattern, with the humerus and femur affected more than the distal extremities; Facies: Frontal bossing; Macrocephaly; Saddle nose Maxillary hypoplasia, Mandibular prognathism Spine: Lumbar lordosis and Thoracolumbar kyphosis Progressive genu varum and coxa valga Wedge shaped gaps between 3rd and 4th fingers (trident hands) Trident hand 50%, joint laxity Pathology Lack of columnation Bony plate from lack of growth Disorganized metaphysis Orthopaedics 1. -
Identification of Key Genes and Pathways Involved in Response To
Deng et al. Biol Res (2018) 51:25 https://doi.org/10.1186/s40659-018-0174-7 Biological Research RESEARCH ARTICLE Open Access Identifcation of key genes and pathways involved in response to pain in goat and sheep by transcriptome sequencing Xiuling Deng1,2†, Dong Wang3†, Shenyuan Wang1, Haisheng Wang2 and Huanmin Zhou1* Abstract Purpose: This aim of this study was to investigate the key genes and pathways involved in the response to pain in goat and sheep by transcriptome sequencing. Methods: Chronic pain was induced with the injection of the complete Freund’s adjuvant (CFA) in sheep and goats. The animals were divided into four groups: CFA-treated sheep, control sheep, CFA-treated goat, and control goat groups (n 3 in each group). The dorsal root ganglions of these animals were isolated and used for the construction of a cDNA= library and transcriptome sequencing. Diferentially expressed genes (DEGs) were identifed in CFA-induced sheep and goats and gene ontology (GO) enrichment analysis was performed. Results: In total, 1748 and 2441 DEGs were identifed in CFA-treated goat and sheep, respectively. The DEGs identi- fed in CFA-treated goats, such as C-C motif chemokine ligand 27 (CCL27), glutamate receptor 2 (GRIA2), and sodium voltage-gated channel alpha subunit 3 (SCN3A), were mainly enriched in GO functions associated with N-methyl- D-aspartate (NMDA) receptor, infammatory response, and immune response. The DEGs identifed in CFA-treated sheep, such as gamma-aminobutyric acid (GABA)-related DEGs (gamma-aminobutyric acid type A receptor gamma 3 subunit [GABRG3], GABRB2, and GABRB1), SCN9A, and transient receptor potential cation channel subfamily V member 1 (TRPV1), were mainly enriched in GO functions related to neuroactive ligand-receptor interaction, NMDA receptor, and defense response. -
Prevalence and Incidence of Rare Diseases: Bibliographic Data
Number 1 | January 2019 Prevalence and incidence of rare diseases: Bibliographic data Prevalence, incidence or number of published cases listed by diseases (in alphabetical order) www.orpha.net www.orphadata.org If a range of national data is available, the average is Methodology calculated to estimate the worldwide or European prevalence or incidence. When a range of data sources is available, the most Orphanet carries out a systematic survey of literature in recent data source that meets a certain number of quality order to estimate the prevalence and incidence of rare criteria is favoured (registries, meta-analyses, diseases. This study aims to collect new data regarding population-based studies, large cohorts studies). point prevalence, birth prevalence and incidence, and to update already published data according to new For congenital diseases, the prevalence is estimated, so scientific studies or other available data. that: Prevalence = birth prevalence x (patient life This data is presented in the following reports published expectancy/general population life expectancy). biannually: When only incidence data is documented, the prevalence is estimated when possible, so that : • Prevalence, incidence or number of published cases listed by diseases (in alphabetical order); Prevalence = incidence x disease mean duration. • Diseases listed by decreasing prevalence, incidence When neither prevalence nor incidence data is available, or number of published cases; which is the case for very rare diseases, the number of cases or families documented in the medical literature is Data collection provided. A number of different sources are used : Limitations of the study • Registries (RARECARE, EUROCAT, etc) ; The prevalence and incidence data presented in this report are only estimations and cannot be considered to • National/international health institutes and agencies be absolutely correct. -
Ion Channels 3 1
r r r Cell Signalling Biology Michael J. Berridge Module 3 Ion Channels 3 1 Module 3 Ion Channels Synopsis Ion channels have two main signalling functions: either they can generate second messengers or they can function as effectors by responding to such messengers. Their role in signal generation is mainly centred on the Ca2 + signalling pathway, which has a large number of Ca2+ entry channels and internal Ca2+ release channels, both of which contribute to the generation of Ca2 + signals. Ion channels are also important effectors in that they mediate the action of different intracellular signalling pathways. There are a large number of K+ channels and many of these function in different + aspects of cell signalling. The voltage-dependent K (KV) channels regulate membrane potential and + excitability. The inward rectifier K (Kir) channel family has a number of important groups of channels + + such as the G protein-gated inward rectifier K (GIRK) channels and the ATP-sensitive K (KATP) + + channels. The two-pore domain K (K2P) channels are responsible for the large background K current. Some of the actions of Ca2 + are carried out by Ca2+-sensitive K+ channels and Ca2+-sensitive Cl − channels. The latter are members of a large group of chloride channels and transporters with multiple functions. There is a large family of ATP-binding cassette (ABC) transporters some of which have a signalling role in that they extrude signalling components from the cell. One of the ABC transporters is the cystic − − fibrosis transmembrane conductance regulator (CFTR) that conducts anions (Cl and HCO3 )and contributes to the osmotic gradient for the parallel flow of water in various transporting epithelia. -
X-Linked Diseases: Susceptible Females
REVIEW ARTICLE X-linked diseases: susceptible females Barbara R. Migeon, MD 1 The role of X-inactivation is often ignored as a prime cause of sex data include reasons why women are often protected from the differences in disease. Yet, the way males and females express their deleterious variants carried on their X chromosome, and the factors X-linked genes has a major role in the dissimilar phenotypes that that render women susceptible in some instances. underlie many rare and common disorders, such as intellectual deficiency, epilepsy, congenital abnormalities, and diseases of the Genetics in Medicine (2020) 22:1156–1174; https://doi.org/10.1038/s41436- heart, blood, skin, muscle, and bones. Summarized here are many 020-0779-4 examples of the different presentations in males and females. Other INTRODUCTION SEX DIFFERENCES ARE DUE TO X-INACTIVATION Sex differences in human disease are usually attributed to The sex differences in the effect of X-linked pathologic variants sex specific life experiences, and sex hormones that is due to our method of X chromosome dosage compensation, influence the function of susceptible genes throughout the called X-inactivation;9 humans and most placental mammals – genome.1 5 Such factors do account for some dissimilarities. compensate for the sex difference in number of X chromosomes However, a major cause of sex-determined expression of (that is, XX females versus XY males) by transcribing only one disease has to do with differences in how males and females of the two female X chromosomes. X-inactivation silences all X transcribe their gene-rich human X chromosomes, which is chromosomes but one; therefore, both males and females have a often underappreciated as a cause of sex differences in single active X.10,11 disease.6 Males are the usual ones affected by X-linked For 46 XY males, that X is the only one they have; it always pathogenic variants.6 Females are biologically superior; a comes from their mother, as fathers contribute their Y female usually has no disease, or much less severe disease chromosome. -
April 2020 Radar Diagnoses and Cohorts the Following Table Shows
RaDaR Diagnoses and Cohorts The following table shows which cohort to enter each patient into on RaDaR Diagnosis RaDaR Cohort Adenine Phosphoribosyltransferase Deficiency (APRT-D) APRT Deficiency AH amyloidosis MGRS AHL amyloidosis MGRS AL amyloidosis MGRS Alport Syndrome Carrier - Female heterozygote for X-linked Alport Alport Syndrome (COL4A5) Alport Syndrome Carrier - Heterozygote for autosomal Alport Alport Syndrome (COL4A3, COL4A4) Alport Syndrome Alport Anti-Glomerular Basement Membrane Disease (Goodpastures) Vasculitis Atypical Haemolytic Uraemic Syndrome (aHUS) aHUS Autoimmune distal renal tubular acidosis Tubulopathy Autosomal recessive distal renal tubular acidosis Tubulopathy Autosomal recessive proximal renal tubular acidosis Tubulopathy Autosomal Dominant Polycystic Kidney Disease (ARPKD) ADPKD Autosomal Dominant Tubulointerstitial Kidney Disease (ADTKD) ADTKD Autosomal Recessive Polycystic Kidney Disease (ARPKD) ARPKD/NPHP Bartters Syndrome Tubulopathy BK Nephropathy BK Nephropathy C3 Glomerulopathy MPGN C3 glomerulonephritis with monoclonal gammopathy MGRS Calciphylaxis Calciphylaxis Crystalglobulinaemia MGRS Crystal-storing histiocytosis MGRS Cystinosis Cystinosis Cystinuria Cystinuria Dense Deposit Disease (DDD) MPGN Dent Disease Dent & Lowe Denys-Drash Syndrome INS Dominant hypophosphatemia with nephrolithiasis or osteoporosis Tubulopathy Drug induced Fanconi syndrome Tubulopathy Drug induced hypomagnesemia Tubulopathy Drug induced Nephrogenic Diabetes Insipidus Tubulopathy Epilepsy, Ataxia, Sensorineural deafness, Tubulopathy -
CENTOGENE's Curated Gene List of Pathogenic and Likely Pathogenic
CENTOGENE’s Curated Gene List of Pathogenic and Likely Pathogenic Variants Indicated in Severe and Early-Onset Disorders VALID FROM 18.11.2020 AAAS, AARS1, AARS2, ABAT, ABCA12, ABCA3, ABCB11, ABCB4, ABCB7, ABCC6, ABCC8, ABCC9, ABCD1, ABCD4, ABHD12, ABHD5, ACACA, ACAD9, ACADM, ACADS, ACADVL, ACAN, ACAT1, ACE, ACO2, ACOX1, ACP5, ACSL4, ACTA1, ACTA2, ACTB, ACTG1, ACTL6B, ACVR2B, ACVRL1, ACY1, ADA, ADAM17, ADAM22, ADAMTS19, ADAMTS2, ADAMTSL2, ADAR, ADARB1, ADAT3, ADCY5, ADGRG1, ADGRG6, ADGRV1, ADK, ADNP, ADPRHL2, ADSL, AFF2, AFG3L2, AGA, AGK, AGL, AGPAT2, AGPS, AGR2, AGRN, AGT, AGTPBP1, AGTR1, AGXT, AHCY, AHDC1, AHI1, AIFM1, AIMP1, AIPL1, AIRE, AK2, AKR1D1, AKT2, AKT3, ALAD, ALDH18A1, ALDH1A3, ALDH3A2, ALDH4A1, ALDH5A1, ALDH6A1, ALDH7A1, ALDOA, ALDOB, ALG1, ALG11, ALG12, ALG13, ALG14, ALG2, ALG3, ALG6, ALG8, ALG9, ALOX12B, ALPL, ALX3, ALX4, AMACR, AMER1, AMN, AMPD1, AMPD2, AMT, ANK2, ANK3, ANKH, ANKRD11, ANKS6, ANO10, ANO5, ANOS1, ANTXR1, ANTXR2, AP1B1, AP1S1, AP1S2, AP3B1, AP3B2, AP4B1, AP4E1, AP4M1, AP4S1, APC2, APTX, AR, ARCN1, ARFGEF2, ARG1, ARHGAP31, ARHGDIA, ARHGEF9, ARID1A, ARID1B, ARID2, ARL13B, ARL3, ARL6, ARL6IP1, ARMC4, ARMC9, ARNT2, ARSA, ARSB, ARSL, ARV1, ARX, ASAH1, ASCC1, ASH1L, ASL, ASNS, ASPA, ASPH, ASPM, ASS1, ASXL1, ASXL2, ASXL3, ATAD3A, ATCAY, ATIC, ATL1, ATOH7, ATP13A2, ATP1A1, ATP1A2, ATP1A3, ATP2B3, ATP5MD, ATP6AP2, ATP6V0A2, ATP6V0A4, ATP6V1A, ATP6V1B1, ATP6V1B2, ATP7A, ATP7B, ATP8A2, ATP8B1, ATRX, AUH, AUTS2, B3GALNT2, B3GALT6, B3GAT3, B3GLCT, B4GALNT1, B4GALT7, B4GAT1, B9D1, B9D2, BANF1, BBS1, BBS10, BBS12, BBS2, -
Blueprint Genetics Comprehensive Skeletal Dysplasias and Disorders
Comprehensive Skeletal Dysplasias and Disorders Panel Test code: MA3301 Is a 251 gene panel that includes assessment of non-coding variants. Is ideal for patients with a clinical suspicion of disorders involving the skeletal system. About Comprehensive Skeletal Dysplasias and Disorders This panel covers a broad spectrum of skeletal disorders including common and rare skeletal dysplasias (eg. achondroplasia, COL2A1 related dysplasias, diastrophic dysplasia, various types of spondylo-metaphyseal dysplasias), various ciliopathies with skeletal involvement (eg. short rib-polydactylies, asphyxiating thoracic dysplasia dysplasias and Ellis-van Creveld syndrome), various subtypes of osteogenesis imperfecta, campomelic dysplasia, slender bone dysplasias, dysplasias with multiple joint dislocations, chondrodysplasia punctata group of disorders, neonatal osteosclerotic dysplasias, osteopetrosis and related disorders, abnormal mineralization group of disorders (eg hypopohosphatasia), osteolysis group of disorders, disorders with disorganized development of skeletal components, overgrowth syndromes with skeletal involvement, craniosynostosis syndromes, dysostoses with predominant craniofacial involvement, dysostoses with predominant vertebral involvement, patellar dysostoses, brachydactylies, some disorders with limb hypoplasia-reduction defects, ectrodactyly with and without other manifestations, polydactyly-syndactyly-triphalangism group of disorders, and disorders with defects in joint formation and synostoses. Availability 4 weeks Gene Set Description