1
|
Cao P, Derhaag J, Coonen E, Brunner H, Acharya G, Salumets A, Zamani Esteki M. Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images. Hum Reprod 2024:deae064. [PMID: 38600621 DOI: 10.1093/humrep/deae064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/13/2024] [Indexed: 04/12/2024] Open
Abstract
STUDY QUESTION Can generative artificial intelligence (AI) models produce high-fidelity images of human blastocysts? SUMMARY ANSWER Generative AI models exhibit the capability to generate high-fidelity human blastocyst images, thereby providing substantial training datasets crucial for the development of robust AI models. WHAT IS KNOWN ALREADY The integration of AI into IVF procedures holds the potential to enhance objectivity and automate embryo selection for transfer. However, the effectiveness of AI is limited by data scarcity and ethical concerns related to patient data privacy. Generative adversarial networks (GAN) have emerged as a promising approach to alleviate data limitations by generating synthetic data that closely approximate real images. STUDY DESIGN, SIZE, DURATION Blastocyst images were included as training data from a public dataset of time-lapse microscopy (TLM) videos (n = 136). A style-based GAN was fine-tuned as the generative model. PARTICIPANTS/MATERIALS, SETTING, METHODS We curated a total of 972 blastocyst images as training data, where frames were captured within the time window of 110-120 h post-insemination at 1-h intervals from TLM videos. We configured the style-based GAN model with data augmentation (AUG) and pretrained weights (Pretrained-T: with translation equivariance; Pretrained-R: with translation and rotation equivariance) to compare their optimization on image synthesis. We then applied quantitative metrics including Fréchet Inception Distance (FID) and Kernel Inception Distance (KID) to assess the quality and fidelity of the generated images. Subsequently, we evaluated qualitative performance by measuring the intelligence behavior of the model through the visual Turing test. To this end, 60 individuals with diverse backgrounds and expertise in clinical embryology and IVF evaluated the quality of synthetic embryo images. MAIN RESULTS AND THE ROLE OF CHANCE During the training process, we observed consistent improvement of image quality that was measured by FID and KID scores. Pretrained and AUG + Pretrained initiated with remarkably lower FID and KID values compared to both Baseline and AUG + Baseline models. Following 5000 training iterations, the AUG + Pretrained-R model showed the highest performance of the evaluated five configurations with FID and KID scores of 15.2 and 0.004, respectively. Subsequently, we carried out the visual Turing test, such that IVF embryologists, IVF laboratory technicians, and non-experts evaluated the synthetic blastocyst-stage embryo images and obtained similar performance in specificity with marginal differences in accuracy and sensitivity. LIMITATIONS, REASONS FOR CAUTION In this study, we primarily focused the training data on blastocyst images as IVF embryos are primarily assessed in blastocyst stage. However, generation of an array of images in different preimplantation stages offers further insights into the development of preimplantation embryos and IVF success. In addition, we resized training images to a resolution of 256 × 256 pixels to moderate the computational costs of training the style-based GAN models. Further research is needed to involve a more extensive and diverse dataset from the formation of the zygote to the blastocyst stage, e.g. video generation, and the use of improved image resolution to facilitate the development of comprehensive AI algorithms and to produce higher-quality images. WIDER IMPLICATIONS OF THE FINDINGS Generative AI models hold promising potential in generating high-fidelity human blastocyst images, which allows the development of robust AI models as it can provide sufficient training datasets while safeguarding patient data privacy. Additionally, this may help to produce sufficient embryo imaging training data with different (rare) abnormal features, such as embryonic arrest, tripolar cell division to avoid class imbalances and reach to even datasets. Thus, generative models may offer a compelling opportunity to transform embryo selection procedures and substantially enhance IVF outcomes. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by a Horizon 2020 innovation grant (ERIN, grant no. EU952516) and a Horizon Europe grant (NESTOR, grant no. 101120075) of the European Commission to A.S. and M.Z.E., the Estonian Research Council (grant no. PRG1076) to A.S., and the EVA (Erfelijkheid Voortplanting & Aanleg) specialty program (grant no. KP111513) of Maastricht University Medical Centre (MUMC+) to M.Z.E. TRIAL REGISTRATION NUMBER Not applicable.
Collapse
Affiliation(s)
- Ping Cao
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
- Department of Genetics and Cell Biology, GROW Research Institute for Oncology and Reproduction, Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
| | - Josien Derhaag
- Department of Reproductive Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Edith Coonen
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
- Department of Reproductive Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
- Department of Genetics and Cell Biology, GROW Research Institute for Oncology and Reproduction, Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ganesh Acharya
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden
- Women's Health and Perinatology Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
| | - Andres Salumets
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden
- Competence Centre on Health Technologies, Tartu, Estonia
- Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
- Department of Genetics and Cell Biology, GROW Research Institute for Oncology and Reproduction, Faculty of Health, Medicine and Life Sciences (FHML), Maastricht University, Maastricht, The Netherlands
- Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, and Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
2
|
Steyaert W, Haer-Wigman L, Pfundt R, Hellebrekers D, Steehouwer M, Hampstead J, de Boer E, Stegmann A, Yntema H, Kamsteeg EJ, Brunner H, Hoischen A, Gilissen C. Systematic analysis of paralogous regions in 41,755 exomes uncovers clinically relevant variation. Nat Commun 2023; 14:6845. [PMID: 37891200 PMCID: PMC10611741 DOI: 10.1038/s41467-023-42531-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
The short lengths of short-read sequencing reads challenge the analysis of paralogous genomic regions in exome and genome sequencing data. Most genetic variants within these homologous regions therefore remain unidentified in standard analyses. Here, we present a method (Chameleolyser) that accurately identifies single nucleotide variants and small insertions/deletions (SNVs/Indels), copy number variants and ectopic gene conversion events in duplicated genomic regions using whole-exome sequencing data. Application to a cohort of 41,755 exome samples yields 20,432 rare homozygous deletions and 2,529,791 rare SNVs/Indels, of which we show that 338,084 are due to gene conversion events. None of the SNVs/Indels are detectable using regular analysis techniques. Validation by high-fidelity long-read sequencing in 20 samples confirms >88% of called variants. Focusing on variation in known disease genes leads to a direct molecular diagnosis in 25 previously undiagnosed patients. Our method can readily be applied to existing exome data.
Collapse
Affiliation(s)
- Wouter Steyaert
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
- Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
| | - Lonneke Haer-Wigman
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Debby Hellebrekers
- Maastricht University Medical Center + , Department of Clinical Genetics, Maastricht, Netherlands
| | - Marloes Steehouwer
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Juliet Hampstead
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Elke de Boer
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Alexander Stegmann
- Maastricht University Medical Center + , Department of Clinical Genetics, Maastricht, Netherlands
| | - Helger Yntema
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Erik-Jan Kamsteeg
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
| | - Han Brunner
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
- Maastricht University Medical Center + , Department of Clinical Genetics, Maastricht, Netherlands
| | - Alexander Hoischen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands
- Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
- Radboud University Medical Center, Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Nijmegen, Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands.
- Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands.
| |
Collapse
|
3
|
O'Neill MJ, Chen SN, Rumping L, Johnson R, van Slegtenhorst M, Glazer AM, Yang T, Solus JF, Laudeman J, Mitchell DW, Vanags LR, Kroncke BM, Anderson K, Gao S, Verdonschot JAJ, Brunner H, Hellebrekers D, Taylor MRG, Roden DM, Wessels MW, Lekanne Dit Deprez RH, Fatkin D, Mestroni L, Shoemaker MB. Multicenter clinical and functional evidence reclassifies a recurrent noncanonical filamin C splice-altering variant. Heart Rhythm 2023; 20:1158-1166. [PMID: 37164047 PMCID: PMC10530503 DOI: 10.1016/j.hrthm.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 04/25/2023] [Accepted: 05/03/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Truncating variants in filamin C (FLNC) can cause arrhythmogenic cardiomyopathy (ACM) through haploinsufficiency. Noncanonical splice-altering variants may contribute to this phenotype. OBJECTIVE The purpose of this study was to investigate the clinical and functional consequences of a recurrent FLNC intronic variant of uncertain significance (VUS), c.970-4A>G. METHODS Clinical data in 9 variant heterozygotes from 4 kindreds were obtained from 5 tertiary health care centers. We used in silico predictors and functional studies with peripheral blood and patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). Isolated RNA was studied by reverse transcription polymerase chain reaction. iPSC-CMs were further characterized at baseline and after nonsense-mediated decay (NMD) inhibition, using quantitative polymerase chain reaction (qPCR), RNA-sequencing, and cellular electrophysiology. American College of Medical Genetics and Genomics (ACMG) criteria were used to adjudicate variant pathogenicity. RESULTS Variant heterozygotes displayed a spectrum of disease phenotypes, spanning from mild ventricular dysfunction with palpitations to severe ventricular arrhythmias requiring device shocks or progressive cardiomyopathy requiring heart transplantation. Consistent with in silico predictors, the c.970-4A>G FLNC variant activated a cryptic splice acceptor site, introducing a 3-bp insertion containing a premature termination codon. NMD inhibition upregulated aberrantly spliced transcripts by qPCR and RNA-sequencing. Patch clamp studies revealed irregular spontaneous action potentials, increased action potential duration, and increased sodium late current in proband-derived iPSC-CMs. These findings fulfilled multiple ACMG criteria for pathogenicity. CONCLUSION Clinical, in silico, and functional evidence support the prediction that the intronic c.970-4A>G VUS disrupts splicing and drives ACM, enabling reclassification from VUS to pathogenic.
Collapse
Affiliation(s)
- Matthew J O'Neill
- Vanderbilt University School of Medicine, Medical Scientist Training Program, Vanderbilt University, Nashville, Tennessee
| | - Suet Nee Chen
- Cardiovascular Institute and Adult Medical Genetics Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lynne Rumping
- Department of Human Genetics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Renee Johnson
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Sydney, NSW, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
| | | | - Andrew M Glazer
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Tao Yang
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joseph F Solus
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Julie Laudeman
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Devyn W Mitchell
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Loren R Vanags
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Brett M Kroncke
- Department of Medicine, Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Katherine Anderson
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Shanshan Gao
- Cardiovascular Institute and Adult Medical Genetics Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Job A J Verdonschot
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Debby Hellebrekers
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Marja W Wessels
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Diane Fatkin
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Sydney, NSW, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia; Cardiology Department, St. Vincent's Hospital, Sydney, NSW, Australia
| | - Luisa Mestroni
- Cardiovascular Institute and Adult Medical Genetics Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - M Benjamin Shoemaker
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
| |
Collapse
|
4
|
Smitherman EA, Chahine RA, Beukelman T, Lewandowski LB, Rahman AKMF, Wenderfer SE, Curtis JR, Hersh AO, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar‐Smiley F, Barillas‐Arias L, Basiaga M, Baszis K, Becker M, Bell‐Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang‐Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel‐Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie‐Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui‐Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein‐Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PM, McGuire S, McHale I, McMonagle A, McMullen‐Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O'Brien B, O'Brien T, Okeke O, Oliver M, Olson J, O'Neil K, Onel K, Orandi A, Orlando M, Osei‐Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan‐Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas‐Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth‐Wojcicki E, Rouster – Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert‐Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner‐Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care. Arthritis Care Res (Hoboken) 2023; 75:1553-1562. [PMID: 36775844 PMCID: PMC10500561 DOI: 10.1002/acr.25002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/14/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis. METHODS We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded. RESULTS We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers. CONCLUSION In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.
Collapse
|
5
|
Hahn T, Daymont C, Beukelman T, Groh B, Hays K, Bingham CA, Scalzi L, Abel N, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar-Smiley F, Barillas-Arias L, Basiaga M, Baszis K, Becker M, Bell-Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang-Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel-Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie-Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui-Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein-Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PMC, McGuire S, McHale I, McMonagle A, McMullen-Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O’Brien B, O’Brien T, Okeke O, Oliver M, Olson J, O’Neil K, Onel K, Orandi A, Orlando M, Osei-Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan-Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas-Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth-Wojcicki E, Rouster-Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert-Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner-Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Intraarticular steroids as DMARD-sparing agents for juvenile idiopathic arthritis flares: Analysis of the Childhood Arthritis and Rheumatology Research Alliance Registry. Pediatr Rheumatol Online J 2022; 20:107. [PMID: 36434731 PMCID: PMC9701017 DOI: 10.1186/s12969-022-00770-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/08/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Children with juvenile idiopathic arthritis (JIA) who achieve a drug free remission often experience a flare of their disease requiring either intraarticular steroids (IAS) or systemic treatment with disease modifying anti-rheumatic drugs (DMARDs). IAS offer an opportunity to recapture disease control and avoid exposure to side effects from systemic immunosuppression. We examined a cohort of patients treated with IAS after drug free remission and report the probability of restarting systemic treatment within 12 months. METHODS We analyzed a cohort of patients from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry who received IAS for a flare after a period of drug free remission. Historical factors and clinical characteristics and of the patients including data obtained at the time of treatment were analyzed. RESULTS We identified 46 patients who met the inclusion criteria. Of those with follow up data available 49% had restarted systemic treatment 6 months after IAS injection and 70% had restarted systemic treatment at 12 months. The proportion of patients with prior use of a biologic DMARD was the only factor that differed between patients who restarted systemic treatment those who did not, both at 6 months (79% vs 35%, p < 0.01) and 12 months (81% vs 33%, p < 0.05). CONCLUSION While IAS are an option for all patients who flare after drug free remission, it may not prevent the need to restart systemic treatment. Prior use of a biologic DMARD may predict lack of success for IAS. Those who previously received methotrexate only, on the other hand, are excellent candidates for IAS.
Collapse
Affiliation(s)
- Timothy Hahn
- Department of Pediatrics, Penn State Children's Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA, 17033-0855, USA.
| | - Carrie Daymont
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | - Timothy Beukelman
- grid.265892.20000000106344187Department of Pediatrics, University of Alabama at Birmingham, CPPN G10, 1600 7th Ave South, Birmingham, AL 35233 USA
| | - Brandt Groh
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | | | - Catherine April Bingham
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | - Lisabeth Scalzi
- grid.240473.60000 0004 0543 9901Department of Pediatrics, Penn State Children’s Hospital, 500 University Dr, Hershey, 90 Hope Drive, P.O. Box 855, Hershey, PA 17033-0855 USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
6
|
Koeck RM, Busato F, Tost J, Zandstra H, Remy S, Langie S, Gielen M, van Golde R, Dumoulin JCM, Brunner H, Zamani Esteki M, van Montfoort APA. At age 9, the methylome of assisted reproductive technology children that underwent embryo culture in different media is not significantly different on a genome-wide scale. Hum Reprod 2022; 37:2709-2721. [PMID: 36206092 DOI: 10.1093/humrep/deac213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 09/05/2022] [Indexed: 11/12/2022] Open
Abstract
STUDY QUESTION Can we detect DNA methylation differences between ART children that underwent embryo culture in different media? SUMMARY ANSWER We identified no significant differences in site-specific or regional DNA methylation between the different culture medium groups. WHAT IS KNOWN ALREADY Embryo culture in G3 or K-SICM medium leads to differences in embryonic, neonatal and childhood outcomes, including growth and weight. The methylome may mediate this association as the period of in vitro culture of ART treatments coincides with epigenetic reprogramming. STUDY DESIGN, SIZE, DURATION This study was conducted as a follow-up to a previous culture medium comparison study in which couples were pseudo-randomized to embryo culture in G3 or K-SICM medium. Of the resultant singletons, 120 (n = 65 G3, n = 55 K-SICM), were recruited at age 9. PARTICIPANTS/MATERIALS, SETTING, METHODS The ART children provided a saliva sample from which the methylome was analysed using the Infinium MethylationEPIC array. After quality and context filtering, 106 (n = 57 G3, n = 49 K-SICM) samples and 659 708 sites were retained for the analyses. Differential methylation analyses were conducted using mixed effects linear models corrected for age, sex, sample plate and cell composition. These were applied to all cytosine-guanine dinucleotide (CpG) sites, various genomic regions (genes, promoters, CpG Islands (CGIs)) and as a targeted analysis of imprinted genes and birth weight-associated CpG sites. Differential variance was assessed using the improved epigenetic variable outliers for risk prediction analysis (iEVORA) algorithm and methylation outliers were identified using a previously defined threshold (upper or lower quartile plus or minus three times the interquartile range, respectively). MAIN RESULTS AND THE ROLE OF CHANCE After correcting for multiple testing, we did not identify any significantly differentially methylated CpG sites, genes, promoters or CGIs between G3 and K-SICM children despite a lenient corrected P-value threshold of 0.1. Targeted analyses of (sites within) imprinted genes and birth weight-associated sites also did not identify any significant differences. The number of DNA methylation outliers per sample was comparable between the culture medium groups. iEVORA identified 101 differentially variable CpG sites of which 94 were more variable in the G3 group. LARGE SCALE DATA Gene Expression Omnibus (GEO) GSE196432. LIMITATIONS, REASONS FOR CAUTION To detect significant methylation differences with a magnitude of <10% between the groups many more participants would be necessary; however, the clinical relevance of such small differences is unclear. WIDER IMPLICATIONS OF THE FINDINGS The results of this study are reassuring, suggesting that if there is an effect of the culture medium on DNA methylation (and methylation-mediated diseases risk), it does not differ between the two media investigated here. The findings concur with other methylome studies of ART neonates and children that underwent embryo culture in different media, which also found no significant methylome differences. STUDY FUNDING/COMPETING INTEREST(S) Study funded by March of Dimes (6-FY13-153), EVA (Erfelijkheid Voortplanting & Aanleg) specialty programme (grant no. KP111513) of Maastricht University Medical Centre (MUMC+) and the Horizon 2020 innovation (ERIN) (grant no. EU952516) of the European Commission. The authors do not report any conflicts of interest relevant to this study. TRIAL REGISTRATION NUMBER Dutch Trial register-NL4083.
Collapse
Affiliation(s)
- Rebekka M Koeck
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Florence Busato
- Laboratory for Epigenetics & Environment, CEA-Centre National de Recherche en Genomique Humaine, Evry, France
| | - Jorg Tost
- Laboratory for Epigenetics & Environment, CEA-Centre National de Recherche en Genomique Humaine, Evry, France
| | - Heleen Zandstra
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Sylvie Remy
- Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Sabine Langie
- Health Unit, Flemish Institute for Technological Research (VITO), Mol, Belgium.,Department of Pharmacology & Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, The Netherlands
| | - Marij Gielen
- Department of Epidemiology and Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ron van Golde
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - John C M Dumoulin
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Aafke P A van Montfoort
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| |
Collapse
|
7
|
Kloth C, Brunner H, Vogele D, Beck A, Schönsteiner S, Beer AJ, Beer M, Thaiss WM. [Tumor of the right atrium with disseminated pulmonal metastases]. Radiologie (Heidelb) 2022; 62:870-874. [PMID: 36068439 DOI: 10.1007/s00117-022-01065-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Affiliation(s)
- C Kloth
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland
| | - H Brunner
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland
| | - D Vogele
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland.
| | - A Beck
- Institut für Pathologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - S Schönsteiner
- Klinik für Innere Medizin III, Universitätsklinikum Ulm, Ulm, Deutschland
| | - A J Beer
- Klinik für Nuklearmedizin, Universitätsklinikum Ulm, Ulm, Deutschland
| | - M Beer
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland
| | - W M Thaiss
- Klinik für Nuklearmedizin, Universitätsklinikum Ulm, Ulm, Deutschland
| |
Collapse
|
8
|
Kloth C, Vogele D, Beck A, Brunner H, Beer M, Thaiss W. Raumforderung des rechten Vorhofes mit disseminierten pulmonalen
Metastasen. ROFO-FORTSCHR RONTG 2022. [DOI: 10.1055/s-0042-1756570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- C Kloth
- Universitätsklinikum Ulm, Klinik für Diagnostische und
Interventionelle Radiologie, Ulm
| | - D Vogele
- Klinik für Diagnostische und Interventionelle Radiologie,
Universitätsklinikum Ulm, Ulm
| | - A Beck
- Institut für Pathologie, Universitätsklinikum Ulm,
Ulm
| | - H Brunner
- Klinik für Diagnostische und Interventionelle Radiologie,
Universitätsklinikum Ulm, Ulm
| | - M Beer
- Klinik für Diagnostische und Interventionelle Radiologie,
Univeristätsklinikum Ulm, Ulm
| | - W Thaiss
- Klinik für Nuklearmedizin, Universitätsklinikum Ulm,
Ulm
| |
Collapse
|
9
|
Baumeister T, Klömpken S, Schmidt AS, Brunner H, Buckert D, Bernard P, Panknin C, Beer M, Kloth C. KI-unterstützte Berechnung der CT-basierten fraktionellen Flussreserve (CT-FFR) in Korrelation zur invasiven Koronarangiographie: Umsetzbarkeit im klinischen Alltag. ROFO-FORTSCHR RONTG 2022. [DOI: 10.1055/s-0042-1749814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- T Baumeister
- Universitätsklinikum Ulm, Klinik für Diagnostische und Interventio, Ulm
| | - S Klömpken
- Klinik für Diagnostische und Interventionelle Radiologie, Ulm
| | - A S Schmidt
- Klinik für Diagnostische und Interventionelle Radiologie, Ulm
| | - H Brunner
- Klinik für Diagnostische und Interventionelle Radiologie, Ulm
| | | | | | - C Panknin
- Wissenschaftliche Kollaboration (Siemens Healthineers), Erlangen
| | - M Beer
- Klinik für Diagnostische und Interventionelle Radiologie, Ulm
| | - C Kloth
- Klinik für Diagnostische und Interventionelle Radiologie, Ulm
| |
Collapse
|
10
|
Koeck RM, Busato F, Tost J, Consten D, van Echten-Arends J, Mastenbroek S, Wurth Y, Remy S, Langie S, Nawrot TS, Plusquin M, Alfano R, Bijnens EM, Gielen M, van Golde R, Dumoulin JCM, Brunner H, van Montfoort APA, Zamani Esteki M. Methylome-wide analysis of IVF neonates that underwent embryo culture in different media revealed no significant differences. NPJ Genom Med 2022; 7:39. [PMID: 35768464 PMCID: PMC9243125 DOI: 10.1038/s41525-022-00310-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 06/13/2022] [Indexed: 02/06/2023] Open
Abstract
A growing number of children born are conceived through in vitro fertilisation (IVF), which has been linked to an increased risk of adverse perinatal outcomes, as well as altered growth profiles and cardiometabolic differences in the resultant individuals. Some of these outcomes have also been shown to be influenced by the use of different IVF culture media and this effect is hypothesised to be mediated epigenetically, e.g. through the methylome. As such, we profiled the umbilical cord blood methylome of IVF neonates that underwent preimplantation embryo development in two different IVF culture media (G5 or HTF), using the Infinium Human Methylation EPIC BeadChip. We found no significant methylation differences between the two groups in terms of: (i) systematic differences at CpG sites or regions, (ii) imprinted sites/genes or birth weight-associated sites, (iii) stochastic differences presenting as DNA methylation outliers or differentially variable sites, and (iv) epigenetic gestational age acceleration.
Collapse
Affiliation(s)
- Rebekka M Koeck
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Florence Busato
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Genomique Humaine, CEA - institut de Biologie François Jacob, Université Paris Saclay, 91000, Evry, France
| | - Jorg Tost
- Laboratory for Epigenetics & Environment, Centre National de Recherche en Genomique Humaine, CEA - institut de Biologie François Jacob, Université Paris Saclay, 91000, Evry, France
| | - Dimitri Consten
- Center for Reproductive Medicine, St. Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022, GC, Tilburg, the Netherlands
| | - Jannie van Echten-Arends
- Section of Reproductive Medicine, Department of Obstetrics and Gynecology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands
| | - Sebastiaan Mastenbroek
- Center for Reproductive Medicine, Amsterdam Reproduction & Development Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, the Netherlands
| | - Yvonne Wurth
- Center for Reproductive Medicine, St. Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022, GC, Tilburg, the Netherlands
| | - Sylvie Remy
- Health Unit, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium
| | - Sabine Langie
- Health Unit, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400, Mol, Belgium.,Department of Pharmacology & Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, The Netherlands
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Public Health and Primary Care, Leuven University (KU Leuven), Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Esmée M Bijnens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Human Structure and Repair, Ghent University Hospital, Ghent, Belgium
| | - Marij Gielen
- Department of Epidemiology and Nutrition and Toxicology Research Institute Maastricht (NUTRIM), Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ron van Golde
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - John C M Dumoulin
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Aafke P A van Montfoort
- Department of Obstetrics and Gynaecology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands. .,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
| |
Collapse
|
11
|
Ruperto N, Chertok E, Dehoorne J, Horneff G, Kallinich T, Louw I, Compeyrot-Lacassagne S, Lauwerys B, Martin N, Marzan K, Knibbe W, Martin R, Zhu X, Whelan S, Pricop L, Martini A, Lovell DJ, Brunner H. OP0221 EFFICACY OF SECUKINUMAB IN ENTHESITIS-RELATED ARTHRITIS: RESULTS FROM A RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, TREATMENT WITHDRAWAL, PHASE 3 STUDY (JUNIPERA). Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundEnthesitis-related Arthritis (ERA) is a category of juvenile idiopathic arthritis (JIA) characterised by heterogeneous and insidious manifestations comprising axial and/or peripheral arthritis, and enthesitis.1 Secukinumab (SEC) demonstrated efficacy and safety in both ERA and juvenile psoriatic arthritis (JPsA) in the JUNIPERA trial.2ObjectivesTo evaluate the rate of flare risk reduction and efficacy of SEC on axial and peripheral manifestations in patients (pts) with active ERA.MethodsERA pts (2 to <18 years of age) with active disease (both ≥3 active joints and ≥1 active enthesitis site) were included. In the open-label (OL) treatment-period (TP)1, s.c. SEC (75/150 mg in pts <50/ ≥50 kg) was administered at baseline (BL), and at Week (Wk) 1–4, 8 and 12. Pts who achieved at least JIA-ACR30 response at Wk 12 were randomised into the double-blinded TP2 to continue SEC or placebo (PBO) every 4 wk until a disease flare, or up to Wk 100. The primary endpoint was time to flare in ERA and JPsA pts. The juvenile spondyloarthritis disease activity Index (JSpADA) is a disease activity assessment tool that contains 8 items to measure axial and peripheral disease activity.3 Evaluation of axial and peripheral manifestations at the end of TP1 and TP2 in pts who experienced these symptoms at BL included modified Schober test (lumbar flexion), inflammatory back pain, FABER (Flexion, ABduction, External Rotation) test, JIA-ACR responses, Juvenile Arthritis Disease Activity Score (JADAS)-27, and resolution of enthesitis and dactylitis for peripheral disease. These outcomes were also used to assess JIA disease course at the end of TP2.ResultsA total of 52/86 (60.5%) pts with ERA were enrolled in the OL period TP1 (mean age, 13.7 years; male, 78.8%). In total, 51/52 (98.1%) pts completed TP1 and 41/44 (93.2%) completed TP2. At BL, mean JADAS-27 was 14.8, mean JSpADA index was 3.9, mean enthesitis and dactylitis counts were 2.7 and 0.4, respectively, mean number of active joints was 6.2 and of mean joints with limited range of motion 4.9. The relative risk reduction of experiencing a disease flare in TP2 was 55% (HR 0.45, 95% CI: 0.16–1.28, p=0.075) in ERA pts (Figure 1). The overall axial and peripheral disease symptoms improved over time and are presented in the Table 1. At the end of TP1, 84.6% (44/52) of pts achieved JIA-ACR 30 and 65.4% (34/52) achieved JIA-ACR 70. Clinically relevant reduction of functional ability as assessed by Childhood Health Assessment Questionnaire (CHAQ) also occurred (see Table 1).Table 1.Resolution of axial and peripheral disease symptoms and JIA ACR responses at the end of TP1 and 2Clinical response, mean (SD) change from BL (unless otherwise stated)TP1-Wk 12End of TP2*SEC (N=52)SEC (N=22)PBO (N=22)JSpADA index−2.4 (1.7)−2.7 (1.7)−2.3 (2.1)JSpADA Schöber, %58.3100.0100.0Inflammatory back pain, %77.8100.050.0FABER test, %52.6100.083.3Clinical sacroiliitis, %53.3100.050.0Enthesitis−2.2 (1.9)−2.5 (2.1)−1.3 (1.8)Dactylitis−0.2 (0.8)−0.2 (1)−0.1 (0.4)JIA ACR30, %84.690.968.2JIA ACR50, %78.881.868.2JIA ACR70, %65.468.254.5JIA ACR90, %32.745.550.0JIA ACR100, %26.936.445.5Inactive disease, %38.550.050.0CHAQ−0.5 (0.5)−0.6 (0.7)−0.4 (0.5)CRP, median (SD) change from BL−1.8 (38.7)−5.8 (38.3)0 (35.9)JADAS-27−9.6 (7.5)−11.0 (8.9)−7.6 (8.9)Resolution of enthesitis#, %72.378.683.3Resolution of dactylitis#, %5066.70*End of TP2 is based on individual pts’ last visit at TP2. #At BL, in TP1, enthesitis (n= 46); dactylitis (n=5). In TP2, no. of pts who had presence at BL and showed complete resolution at the end of TP2: enthesitis, SEC 14, PBO 18; dactylitis, SEC 3, PBO, 0. CRP, C-reactive proteinConclusionIn pts with ERA, SEC demonstrated longer time to disease flare vs PBO and exhibited rapid and sustained improvement of axial and peripheral manifestations up to Wk 104.References[1]Pagnini I, et al. Front Med 2021;8:6673052.[2]Brunner H, et al. Arthritis Rheumatol 2021;73 (suppl 10).[3]Weiss PF, et al. Arthritis Care Res 2014;66:1775-82.Disclosure of InterestsNicolino Ruperto Speakers bureau: Eli Lilly, GlaxoSmith and Kline, Pfizer, SOBI and UCB, Paid instructor for: Eli Lilly and Pfizer, Consultant of: Ablynx, Amgen, Astrazeneca-Medimmune, Aurinia, Bayer, Bristol Myers and Squibb, Cambridge Healthcare Research (CHR), Celegene, Domain therapeutic, Eli Lilly, EMD Serono, GlaxoSmith and Kline, Idorsia, Janssen, Novartis, Pfizer, SOBI and UCB, Grant/research support from: Bristol Myers and Squibb, Eli Lilly, F Hoffmann-La Roche, Novartis, Pfizer and SOBI, Elena Chertok: None declared, Joke Dehoorne Speakers bureau: Abbvie, Roche, Consultant of: Abbvie, Roche, Pfizer, Grant/research support from: Abbvie, Roche, Gerd Horneff Speakers bureau: Novartis, Pfizer, Janssen, Grant/research support from: Pfizer, Novartis, Roche, MSD, Tilmann Kallinich Speakers bureau: Roche, Ingrid Louw Speakers bureau: Pfizer, Abbvie, BMS, Consultant of: Pfizer, Abbvie, Janssen, Amgen and Cipla, Sandrine Compeyrot-Lacassagne: None declared, Bernard Lauwerys Employee of: UCB Pharma, Neil Martin: None declared, Katherine Marzan Grant/research support from: Novartis, Sanofi, William Knibbe Speakers bureau: Novartis, Amgen, UCB, Abbvie, Ruvie Martin Shareholder of: Novartis, Employee of: Novartis, Xuan Zhu Shareholder of: Novartis, Employee of: Novartis, sarah whelan Shareholder of: Novartis, Employee of: Novartis, Luminita Pricop Shareholder of: Novartis, Employee of: Novartis, Alberto Martini Speakers bureau: Aurinia, Bristol Myers and Squibb, Eli Lilly, EMD, Janssen, Pfizer, Roche and Serono, Consultant of: Aurinia, Bristol Myers and Squibb, Eli Lilly and EMD, Daniel J Lovell Consultant of: Astra Zeneca, Boehringer Ingelheim, GSK, Hoffman LaRoche, Novartis, UBC, Grant/research support from: Astra Zeneca, Boehringer Ingelheim, GSK, Hoffman LaRoche, Novartis, UBC, Hermine Brunner Consultant of: Novartis, Grant/research support from: Novartis
Collapse
|
12
|
Cody E, Brunner H, Huang B, Qiu T, Devarajan P, Ramaswamy M, Sinibaldi D, Brohawn PZ, Knagenhjelm J, Jones F, Tummala R, Lindholm C, White W. POS0739 THE RENAL ACTIVITY INDEX FOR LUPUS (RAIL) DIFFERENTIATES ACTIVE AND INACTIVE NEPHRITIS IN ADULT PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS (SLE). Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundLupus nephritis (LN) confers a poor prognosis, with lack of effective laboratory tests to diagnose and evaluate therapies. We have demonstrated that the RAIL score, based on a set of six urinary biomarkers (NGAL, KIM-1, MCP-1, adiponectin, hemopexin, ceruloplasmin) is sensitive and specific in adult patients with active LN, using renal biopsy as reference.1,2 RAIL has been shown in the pediatric population to be effective in distinguishing inactive vs active LN with no effect from mycophenolate mofetil (MMF) treatment. A comparable study has not been conducted in an adult population.ObjectivesTo assess the ability of RAIL to discriminate patients with active LN vs active non-renal SLE and to evaluate if RAIL performance varies by MMF treatment using urine samples from adult LN patients.MethodsUrine samples were obtained at baseline in two clinical trials: a phase 2 study in adult patients with biopsy-proven active Class III and IV LN (NCT02547922) and a subset of patients from the phase 3 trial in adults with active non-renal SLE (NCT02446912) who had baseline renal BILAG scores C, D, or E. RAIL biomarkers were assayed using single-plex assays. Patient demographics and clinical characteristics were compared between studies. Wilcoxon rank sum test was performed comparing the urinary biomarkers between the two studies and RAIL score was then calculated. Receiver operating characteristic (ROC) analyses were conducted assessing the ability for RAIL scores to distinguish patients with renal activity and involvement.ResultsComparison of the patient demographic, clinical characteristics, and biomarkers is in the Table 1. Wilcoxon rank sum test showed the six urinary biomarkers were significantly different between two groups of patients as demonstrated (Table 1). Each of the RAIL biomarker concentrations and the creatinine-adjusted median score were higher in the active LN group than the SLE group (P<0.001). ROC analyses including RAIL score showed an area under the ROC curve of 0.8 (Figure 1), with odds ratio of log-transformed RAIL 2.027 (95% CI [1.587, 2.589]). There were no significant interactions between RAIL and MMF. RAIL remained significant after adjusting for estimated glomerular filtration rate (eGFR), which was not statistically significant.Table 1.Study Demographics and BiomarkersVariablesLN study (N=131)SLE study (N=59)Observed NObserved Median (IQR) or %Observed NObserved Median (IQR) or %DemographicsAge13134 (25, 42)5936 (28, 44)Sex, Female10983.21%5593.22%Race, White5642.75%4576.27%Ethnicity, Hispanic or Latino6146.56%915.25%OCS use, yes12797.69%5796.61%MMF use, yes9572.52%2135.59%Spot UPCR (mg/mg)1282.13 (1.22, 4.04)591.11 (0.55, 2.61)eGFR13091.8 (63.1, 125)5998.06 (81.91, 116.54)Non-renal SLEDAI-2K score1304 (4, 6)5912 (9, 13)Renal SLEDAI-2K score1304 (4, 8)590 (0, 0)BiomarkersNGAL (ng/mL)12833.33 (17.55, 56.7)5819.47 (11.37, 42.05)MCP-1 (pg/mL)128658.24 (271.58, 1049.95)58275.62 (106.09, 481.99)Ceruloplasmin (ng/mL)12893.55 (44.5, 311.25)5847.2 (13.05, 231.25)Adiponectin (ng/mL)12842.45 (16.71, 139.64)589.33 (3.35, 25.51)Hemopexin (ng/mL)1281876.8 (745.07, 4743.4)58513.4 (236.36, 1388.74)KIM-1 (pg/mL)1281673.5 (772.5, 2767)58864 (394, 1480)Creatinine (mg/mL)1280.7 (0.46, 1.3)580.99 (0.46, 1.74)Adult RAIL score (creatinine adjusted)1285.59 (4.31, 6.47)583.57 (2.78, 4.47)eGFR, estimated glomerular filtration rate; IQR, interquartile range; KIM, kidney injury molecule; LN, lupus nephritis; MCP, monocyte chemotactic protein; MMF, mycophenolate mofetil; NGAL, neutrophil gelatinase-associated lipocalin; OCS, oral corticosteroid; SLEDAI-2K, SLE Disease Activity Index 2000; UPCR, urine protein/creatinine ratio.ConclusionThe analyses performed suggest that creatinine-corrected RAIL discriminates between active LN and non-renal adult SLE, with RAIL scores not influenced by MMF use.References[1]Brunner HI. Arthritis Care Res (Hoboken). 2016;68:1003–11.[2]Gulati G. Lupus. 2017;26:927–36.AcknowledgementsWriting assistance by Kelly M. Hunter, PhD (Fishawack). This study was sponsored by AstraZeneca.Disclosure of InterestsEllen Cody: None declared, Hermine Brunner Speakers bureau: Novartis, Pfizer, GSK, Consultant of: AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Lilly,EMD Serono, Idorsia, Cerocor, Janssen, GSK, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Grant/research support from: Pfizer, Bin Huang: None declared, Tingting Qiu: None declared, Prasad Devarajan Speakers bureau: Reata, Alnylam, Dicerna, Consultant of: BioPorto Inc, Madhu Ramaswamy Shareholder of: AstraZeneca, Employee of: AstraZeneca, Dominic Sinibaldi Shareholder of: AstraZeneca, Employee of: AstraZeneca, Philip Z Brohawn Shareholder of: AstraZeneca, Employee of: AstraZeneca, Jacob Knagenhjelm Shareholder of: AstraZeneca, Employee of: AstraZeneca, Frederick Jones Shareholder of: AstraZeneca, Employee of: AstraZeneca, Raj Tummala Shareholder of: AstraZeneca, Employee of: AstraZeneca, Catharina Lindholm Employee of: AstraZeneca, Wendy White Shareholder of: AstraZeneca, Employee of: AstraZeneca
Collapse
|
13
|
Ramanan A, Quartier P, Okamoto N, Meszaros G, Araujo J, Wang Z, Liao R, Crowe B, Zhang X, Decker R, Keller S, Brunner H, Ruperto N. LB0002 BARICITINIB IN JUVENILE IDIOPATHIC ARTHRITIS: A PHASE 3, DOUBLE-BLIND, PLACEBO-CONTROLLED, WITHDRAWAL, EFFICACY AND SAFETY STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.5091a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundBaricitinib is a JAK1/2 selective inhibitor approved for the treatment of rheumatoid arthritis. Juvenile idiopathic arthritis (JIA) is a group of diseases characterized by immune mediated chronic arthritis which often requires treatment with conventional synthetic or biologic disease-modifying antirheumatic drugs (cs or b-DMARDs).ObjectivesTo investigate baricitinib efficacy and safety in pediatric patients with JIA and an inadequate response to cs or b-DMARDs.MethodsThis Phase 3 multicenter, double-blind, withdrawal, efficacy, and safety study, enrolled patients (pts) age 2 to <18 years with extended oligo- or poly-articular JIA, ERA, or JPsA, per ILAR criteria, and an inadequate response to ≥1 cs and/or b-DMARDs (NCT03773978). There were 3 periods: a 2-week (wk) pharmacokinetic/safety assessment (PKS), a 12-wk open-label lead-in (OLLI), and an up-to 32-wk double-blind withdrawal (DBW). Dosage and safety were confirmed in the PKS and then pts, including those from the PKS, enrolled in the OLLI, receiving age-based, oral, once daily doses of baricitinib. Pts with a JIA-ACR30 response at wk12, end of OLLI, entered the DBW to be randomized 1:1 to continued baricitinib or newly started placebo (PBO) and remained until flare or up to wk32. Primary endpoint was time to flare during the DBW. Secondary endpoints included JIA-ACR30/50/70/90 response rates at wk12, and proportion of pts with a flare during the DBW. Survival curves were estimated using the Kaplan-Meier method.ResultsOf 220 pts enrolled, 29 participated in the PKS, 219 entered the OLLI, and 163 entered the DBW. The JIA-ACR30/50/70/90 response at wk12 was 76.3%/63.5%/46.1%/20.1%, respectively. During the DBW, time of flare was significantly shorter with PBO vs baricitinib (hazard ratio 0.24 [95% CI 0.13,0.45], p<0.001; Figure 1). The proportion of pts with a flare during the DBW was significantly lower for baricitinib vs PBO (14 (17.1%) vs. 41 (50.6%), p<0.001). In the PKS and OLLI periods, 126 (57.3%) pts reported ≥1 treatment emergent adverse event (TEAE), while 6 (2.7%) reported ≥1 serious adverse event (SAE); Table 1. In the DBW, 38 (46.9%) and 54 (65.9%) pts reported ≥1 TEAE for PBO and baricitinib, respectively, whereas those with ≥1 SAE were 3 (3.7%) and 4 (4.9%). The mean wks of exposure was higher in the baricitinib vs PBO group during DBW (26.34 vs 18.91) due to study design. There were no deaths, cardiovascular events or uveitis and 1 case of herpes zoster.
Table 1.Safety dataEvents, N (%)PKS and OLLI (N=220)Events, N (%)DBW Placebo (N=81)DBW Baricitinib (N=82)Discontinuations due to AEs2 (0.9)2 (2.5)1 (1.2)TEAEs126 (57.3)38 (46.9)54 (65.9)most common TEAEsNasopharyngitis19 (8.6)URTI1 (1.2)9 (11.0)Headache14 (6.4)Headache3 (3.7)9 (11.0)Arthralgia12 (5.5)Nasopharyngitis3 (3.7)6 (7.3)URTI11 (5.0)Arthralgia3 (3.7)6 (7.3)Nausea11 (5.0)Oropharyngeal pain1 (1.2)5 (6.1)SAEs6 (2.7)3 (3.7)4 (4.9)All reported SAEsArthralgia1 (0.5)COVID-1901 (1.2)Joint Destruction1 (0.5)Gastroenteritis01 (1.2)Joint Effusion1 (0.5)Headache01 (1.2)JIA1 (0.5)Pulmonary Embolism01 (1.2)Musculoskeletal Chest Pain1 (0.5)Bronchospasm1 (1.2)0Decreased Appetite1 (0.5)JIA1 (1.2)0Suicide Attempt1 (1.2)0Potential opportunistic infections2 (0.9)1 (1.2)1 (1.2)Herpes virus1 (0.5)Herpes virus1 (1.2)0Herpes zoster1 (0.5)Candida01 (1.2)URTI= Upper Respiratory Tract InfectionConclusionBaricitinib significantly reduced time to and frequency of JIA flares in pts with JIA versus PBO, and improved JIA-ACR scores in the majority of pts within 12wks. Safety findings were consistent with the known safety profile in adult rheumatoid arthritis indications. These findings support baricitinib as a treatment for signs and symptoms of JIA with an inadequate response to cs or b-DMARDs.References[1]Giannini EH, et. al. Preliminary definition of improvement in juvenile arthritis. Arthritis Rheum 1997; 40: 1202-1209.[2]Brunner HI, et. al. Preliminary definition of disease flare in juvenile rheumatoid arthritis. J Rheumatol 2002; 29(5):1058-64.Disclosure of InterestsAthimalaipet Ramanan Consultant of: Eli Lilly and Company, Abbvie, Roche, UCB, Novartis, Pfizer, and Sobi, Grant/research support from: Eli Lilly and Company, Pierre Quartier Consultant of: Eli Lilly and Company, Abbvie, Amgen, BMS, Novartis, Novimmune, Pfizer, Swedish Orphan Biovitrum, SANOFI, Speakers bureau: Abbvie, Novartis, Pfizer, Swedish Orphan Biovitrum, Nami Okamoto Consultant of: Swedish Orphan Biovitrum, Eli Lilly and Company, Speakers bureau: AbbVie, Eli Lilly and Company, Sanofi, Asahi Kasei Medical, Mitsubishi Tanabe Pharma, Bristol Myers Squibb, Pfizer Japan, Ayumi Pharma, Eisai, Torii Pharma, GlaxoSmithKline, Kyorin Pharma, Novartis, Chugai Pharmaceutical, Teijin Pharma, Gabriella Meszaros Employee of: Eli Lilly and Company, Joana Araujo Employee of: Eli Lilly and Company, Zhongkai Wang Employee of: Eli Lilly and Company, Ran Liao Employee of: Eli Lilly and Company, Brenda Crowe Employee of: Eli Lilly and Company, Xin Zhang Employee of: Eli Lilly and Company, Rodney Decker Employee of: Eli Lilly and Company, Stuart Keller Employee of: Eli Lilly and Company, Hermine Brunner Consultant of: AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Celgene, Eli Lilly, EMD Serono, Idorsia, Cerocor, Janssen, GlaxoSmithKline, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Speakers bureau: Novartis, Pfizer, GlaxoSmithKline, Nicolino Ruperto Consultant of: Eli Lilly and Company, Ablynx, Amgen, Astrazeneca-Medimmune, Aurinia, Bayer, Bristol Myers and Squibb, Cambridge Healthcare Research (CHR), Celgene, Domain therapeutic, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Idorsia, Janssen, Novartis, Pfizer, Sobi, UCB, Speakers bureau: Eli Lilly and Company, Glaxo Smith and Kline, Pfizer, Sobi, UCB
Collapse
|
14
|
Angeles-Han S, Cassedy A, Hennard T, Altaye M, Brunner H, Dosunmu E, Grom A, Henrickson M, Huggins J, Lopper S, Lovell DJ, Sisk R, Ting T, Kaufman A, Utz V. POS1303 METHOTREXATE RESPONSE IN PEDIATRIC NON-INFECTIOUS UVEITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundChildren with chronic non-infectious uveitis (NIU) are at risk for sight-threatening complications. Methotrexate (MTX) is the preferred first-line systemic treatment. Initial therapeutic response takes 3-6 months to achieve NIU control, leading to prolonged glucocorticoid use. Moreover, at least 50-70% of children fail to fully respond and may accrue ocular damage while awaiting MTX response.ObjectivesTo identify features of children with NIU that are associated with MTX failure.MethodsWe included children who started MTX monotherapy for NIU. We collected demographics, NIU features (type, location, & complications), ANA status, and clinical examination. We characterized children as MTX responders or non-responders. MTX responders are those whose NIU was controlled, defined by: 1) inactive graded by SUN criteria, 2) absence of new or worsening complications, and 3) requirement for ≤2 drops of prednisolone acetate and no oral glucocorticoids.ResultsOf 47 NIU children, 68% were MTX non-responders (Table 1), having a longer duration of NIU (Odds Ratio [OR]=1.28, [CI=1.03-1.8], p =0.023) and developing more ocular complications (OR=1.95 [CI=1.23-3.38], p=0.017), (ROC Area Under the Curve = 0.85). MTX non-responders were more likely to have anterior and/or posterior synechiae (p = 0.001), cataracts (p=0.015), and ocular hypertension (p=0.039). Treatment included adalimumab: 27, infliximab: 14, tocilizumab: 5, golimumab: 4, etanercept: 3, and abatacept: 2.Table 1.Comparison of children with NIU based on MTX response.Responders n=15Non-responders n=32Caucasian14 (93)27 (84)Hispanic or Latino0 (0)3 (9)Female12 (80)23 (72)Age of NIU onset, yrs, median (IQR)4.3 (2.9 – 12.3)4.6 (2.8 - 7.0)Duration of NIU, yrs, median, (IQR)4.1 (2.6 – 5.3)8.2 (4.7 - 11.3)JIA-NIU10 (67)25 (78)Idiopathic CAU2 (13)3 (9)Other3 (20)4 (12)Bilateral disease12 (80)23 (72)Anterior12 (86)29 (91)Presenting BCVA (LogMAR) worst eye, median (IQR)0.2 (0.1 – 0.3)0.1 (0.0 - 0.2)Average # of total complications/person, median (IQR)1 (0 – 2)2.5 (1.0 – 5.5)ANA positive10 (67)26 (81)Earliest ESR8 (6– 18)12 (8 - 18)Earliest Vitamin D32 (26 – 35)31 (23 - 35)Time on MTX, months, median (IQR)35 (19 - 64)19 (7 - 74)Time from systemic or NIU onset to MTX, yrs, median (IQR)0.3 (0.1 – 0.5)0.2 (0.0 - 0.8)MTX PO6 (40)19 (59)MTX SC13 (87)31 (97)We performed a sub analysis of children with idiopathic chronic anterior NIU (CAU) and JIA-associated NIU that included children who failed MTX due to intolerance/toxicity (Figure 1). Using Cox proportional hazard regression, 8 idiopathic CAU failed MTX earlier than 38 JIA-associated NIU (HR 2.77, [CI-=1.06-7.27], p=0.039). Results were similar with the inclusion of other types of NIU (p=0.088) (e.g., HLA-B27, non-anterior idiopathic or with systemic disease).Figure 1.Kaplan-Meier curve showing freedom from TNFi (mos) stratified by diagnosisConclusionTwo out of three children with NIU fail initial MTX monotherapy, exposing them to increased accrual of ocular complications prior to biologic starts. The risk for delay in starting tumor necrosis factor α inhibitors (TNFi) seems higher with CAU. Future studies will examine risk factors that predict MTX response in NIU.References[1]McCracken C, Angeles-Han ST, et.al. Timing of infliximab and adalimumab initiation despite methotrexate in children with chronic non-infectious anterior uveitis. Eye (Lond). 2019;33(4):629-39.[2]Henderson LA, Angeles-Han ST, et.al., Medication use in juvenile uveitis patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry. Pediatr Rheumatol Online J. 2016;14(1):9.[3]Cooper A, et.al., Failure of methotrexate monotherapy and subsequent response to tumor necrosis factor inhibitors in pediatric non-infectious uveitis (abstract). Arthritis Rheumatol. 2020:72 (suppl 4).Disclosure of InterestsSheila Angeles-Han: None declared, Amy Cassedy: None declared, Theresa Hennard: None declared, Mekibib Altaye: None declared, Hermine Brunner Consultant of: Dr. Brunner’s affiliation Cincinnati Children’s Hospital Medical Center has received consulting fees or other remuneration from AstraZeneca, Boehringer Ingelheim, GSK, Roche, Novartis, Pfizer Inc, Takeda, and UBC for the work of Dr. Brunner. Dr. Brunner is a DSMB member for Janssen Pharmaceutical’s trial of ustekinumab pediatric Crohn and Ulcerative colitis., Grant/research support from: Dr. Brunner’s affiliation Cincinnati Children’s Hospital Medical Center has received research grants from BMS, Janssen, Novartis, Pfizer Inc, Roche, and UBC., Eniolami Dosunmu: None declared, Alexei Grom: None declared, Michael Henrickson: None declared, Jennifer Huggins: None declared, Sarah Lopper: None declared, Daniel J Lovell Consultant of: AstraZeneca, Boehringer Ingelheim, GSK, Roche, Novartis, Pfizer Inc, Takeda, and UBC, Grant/research support from: BMS, Janssen, Novartis, Pfizer Inc, Roche, and UBC, Robert Sisk Consultant of: AGTC, Gyroscope, and Leica, Tracy Ting: None declared, Adam Kaufman Consultant of: Consultant for Alcon, Bausch & Lomb, and 1800contacts, not related or relevant to study content., Virginia Utz: None declared
Collapse
|
15
|
Ruperto N, Brunner H, Berman A, Avila Zapata F, Horneff G, Wagner-Weiner L, Belot A, Burgos-Vargas R, Gámir Gámir ML, Goldenstein-Schainberg C, Terreri MT, Askelson M, Wong R, Martini A, Lovell DJ. POS0340 PREDICTORS OF CLINICAL RESPONSE TO ABATACEPT IN CHILDREN WITH POLYARTICULAR JUVENILE IDIOPATHIC ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundFor children with polyarticular juvenile idiopathic arthritis (pJIA) and inadequate response or intolerance to initial treatment with MTX, treatment options include abatacept.1 Abatacept, a selective T-cell co-stimulation modulator, has a distinct mechanism of action from other current treatments for rheumatic diseases,2 and factors predicting clinical response can help determine optimal treatment strategy. Two phase 3 studies demonstrated the efficacy and safety of IV and SC abatacept in patients with pJIA and an inadequate response to other DMARDs.2,3ObjectivesTo determine baseline and post-baseline factors that may predict a clinical response in children and adolescents with pJIA treated with abatacept for 2 years.MethodsBaseline demographic and disease characteristics and post-baseline factors (50% and 70% improvement in ACR criteria [ACR50, ACR70] at days 57 and 85) were analyzed using data from 2 phase 3 studies of abatacept in patients with JIA aged 2–17 years (SC administration) and 6–17 years (IV administration). Efficacy endpoints were Juvenile Arthritis Disease Activity Score in 10 joints based on CRP (JADAS10-CRP) inactive disease (ID; score of ≤ 2.7),4 and remission, defined as 6 consecutive months of post-baseline JADAS10-CRP ID. Data were analyzed over the entire 2-year study period. The earliest time point at which patients achieved these outcomes was reported. The aforementioned study factors were subjected to a time-to-event analysis, including Cox proportional hazards univariate regression analysis and Cox proportional hazards multivariate regression analysis using stepwise regression; results of the multivariate analysis are reported. Kaplan–Meier analysis was used to estimate time to achieve clinical response. Receiver operating characteristic curves were used to determine threshold values for continuous variables.ResultsOverall, 347 patients were included in the analysis (SC, n = 219; IV, n = 128; 73.8% female; mean [SD] age, 11.3 [4.0] years). Following abatacept treatment, both time to JADAS10-CRP ID and time to JADAS10-CRP remission were predicted (nominal P ≤ 0.05) by age (≤ 11 years: hazard ratio [HR], 1.52 [95% CI, 1.14–2.02] and ≤ 10 years: HR, 1.73 [95% CI, 1.20–2.48], respectively), high-sensitivity CRP (hsCRP; ≤ 0.6 mg/dL: HR, 1.67 [95% CI, 1.22–2.28] and ≤ 0.21 mg/dL: HR, 1.67 [95% CI, 1.15–2.42], respectively), Parent/Patient Global Assessment of well-being (≤ 35.86: HR, 1.88 [95% CI, 1.41–2.51] and ≤ 43.16: HR, 2.05 [95% CI, 1.35–3.10], respectively), and Childhood HAQ-DI (CHAQ-DI; ≤ 1.63: HR, 2.23 [95% CI, 1.47–3.39] and ≤ 0.75: HR, 1.84 [95% CI, 1.24–2.73], respectively) (remission data shown in Figure 1). Disease duration ≤ 2 years from baseline (HR, 1.66 [95% CI, 1.25–2.21]) and SC route of administration (HR, 2.05 [95% CI, 1.45–2.91]) also predicted ID. Among the post-baseline factors, ACR50 at days 57 and 85 predicted both ID (HR, 1.57 [95% CI, 1.04–2.36] and HR, 1.88 [95% CI, 1.41–2.51], respectively) and remission (HR, 1.96 [95% CI, 1.11–3.45] and HR, 3.05 [95% CI, 1.47–6.34], respectively); ACR70 at day 57 also predicted ID (data not shown). Patients with predictive factors for age, hsCRP, Parent/Patient Global Assessment of well-being, and CHAQ-DI, and with lower disease activity achieved ID and/or remission earlier than patients with high disease activity.ConclusionWe identified baseline and post-baseline factors that predicted JADAS10-CRP ID and remission in patients with pJIA treated with abatacept for 2 years. Screening of abatacept-treated patients with pJIA for such factors may help predict earlier achievement of ID and/or remission.References[1]Ringold S, et al. Arthritis Rheumatol 2019;71:846–63.[2]Brunner HI, et al. Arthritis Rheumatol 2018;70:1144–54.[3]Ruperto N, et al. Lancet 2008;372:383–91.[4]Trincianti C, et al. Arthritis Rheumatol 2021;73:1966–75.AcknowledgementsThis study was sponsored by Bristol Myers Squibb. Writing and editorial assistance were provided by Candice Judith Dcosta, MSc, of Caudex, funded by Bristol Myers Squibb. We would like to acknowledge Mara Becker, Duke Clinical Research Institute, Durham, NC, USA, for her contribution to the study analysis.Disclosure of InterestsNicolino Ruperto Speakers bureau: Honoraria for consultancies or speaker bureaus from the following pharmaceutical companies in the past 3 years: 2 Bridge, Amgen, AstraZeneca, Aurinia, Bayer, Brystol Myers Squibb, Cambridge Healthcare Research, Celgene, Domain Therapeutic, Eli Lilly, EMD Serono, GlaxoSmithKline, Idorsia, inMed, Janssen, Novartis, Pfizer, Sobi, UCB, Consultant of: Honoraria for consultancies or speaker bureaus from the following pharmaceutical companies in the past 3 years: 2 Bridge, Amgen, AstraZeneca, Aurinia, Bayer, Brystol Myers Squibb, Cambridge Healthcare Research, Celgene, Domain Therapeutic, Eli Lilly, EMD Serono, GlaxoSmithKline, Idorsia, inMed, Janssen, Novartis, Pfizer, Sobi, UCB, Hermine Brunner Speakers bureau: GlaxoSmithKline, Novartis, Pfizer, Consultant of: AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Cerocor, Eli Lilly, EMD Serono, F. Hoffmann-La Roche, GlaxoSmithKline, Idorsia, Janssen, Merck, Novartis, R-Pharm, Sanofi, Grant/research support from: The Cincinnati Children’s Hospital, where HIB works as a full-time public employee, has received contributions from the following industries in the past 3 years: Bristol Myers Squibb, F. Hoffmann-La Roche, Janssen, Novartis, and Pfizer. This funding has been reinvested for the research activities of the hospital in a fully independent manner, without any commitment to third parties, Alberto Berman Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Lilly, Novartis, Pfizer, Roche, Francisco Avila Zapata: None declared, Gerd Horneff Speakers bureau: AbbVie, Chugai, Janssen, Novartis, Pfizer, Grant/research support from: AbbVie, Chugai, MSD, Novartis, Pfizer, Roche, Linda Wagner-Weiner Grant/research support from: Abbott, Bristol Myers Squibb, Merck, Pfizer, UCB, Alexander Belot Speakers bureau: Chugai, GlaxoSmithKline, Novartis, Roche (punctual scientific intervention), Grant/research support from: Boehringer Ingelheim, Merck (joint research project), Ruben Burgos-Vargas: None declared, Maria Luz Gámir Gámir: None declared, Claudia Goldenstein-Schainberg Speakers bureau: AbbVie, Janssen, Novartis, Consultant of: AbbVie, Janssen, Novartis, Maria T. Terreri: None declared, Margarita Askelson Consultant of: Acerta Pharma, Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Robert Wong Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Alberto Martini Consultant of: AbbVie, Eli Lilly, EMD Serono, Idorsia, Janssen, Novartis, Pfizer, Daniel J Lovell Consultant of: AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Hoffman LaRoche, Novartis, UBC (all contracts with employer, CCHMC), Grant/research support from: Bristol Myers Squibb, Janssen, Pfizer, Roche (all contracts with employer, CCHMC); NIH grants: NIAMS, NICHD
Collapse
|
16
|
Soulsby WD, Balmuri N, Cooley V, Gerber LM, Lawson E, Goodman S, Onel K, Mehta B, Abel N, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar-Smiley F, Barillas-Arias L, Basiaga M, Baszis K, Becker M, Bell-Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang-Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel-Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie-Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui-Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein-Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PMC, McGuire S, McHale I, McMonagle A, McMullen-Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O’Brien B, O’Brien T, Okeke O, Oliver M, Olson J, O’Neil K, Onel K, Orandi A, Orlando M, Osei-Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan-Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas-Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth-Wojcicki E, Rouster-Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert-Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner-Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis. Pediatr Rheumatol Online J 2022; 20:18. [PMID: 35255941 PMCID: PMC8903717 DOI: 10.1186/s12969-022-00676-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/07/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry. METHODS In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months. RESULTS One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability. CONCLUSION High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.
Collapse
Affiliation(s)
- William Daniel Soulsby
- University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA, 94158, USA.
| | - Nayimisha Balmuri
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Victoria Cooley
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Linda M. Gerber
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Erica Lawson
- grid.266102.10000 0001 2297 6811University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA 94158 USA
| | - Susan Goodman
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Karen Onel
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | - Bella Mehta
- grid.239915.50000 0001 2285 8823Hospital for Special Surgery, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
17
|
van Rhijn JR, Shi Y, Bormann M, Mossink B, Frega M, Recaioglu H, Hakobjan M, Klein Gunnewiek T, Schoenmaker C, Palmer E, Faivre L, Kittel-Schneider S, Schubert D, Brunner H, Franke B, Nadif Kasri N. Brunner syndrome associated MAOA mutations result in NMDAR hyperfunction and increased network activity in human dopaminergic neurons. Neurobiol Dis 2021; 163:105587. [PMID: 34923109 DOI: 10.1016/j.nbd.2021.105587] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 12/01/2021] [Accepted: 12/15/2021] [Indexed: 01/15/2023] Open
Abstract
Monoamine neurotransmitter abundance affects motor control, emotion, and cognitive function and is regulated by monoamine oxidases. Among these, Monoamine oxidase A (MAOA) catalyzes the degradation of dopamine, norepinephrine, and serotonin into their inactive metabolites. Loss-of-function mutations in the X-linked MAOA gene have been associated with Brunner syndrome, which is characterized by various forms of impulsivity, maladaptive externalizing behavior, and mild intellectual disability. Impaired MAOA activity in individuals with Brunner syndrome results in bioamine aberration, but it is currently unknown how this affects neuronal function, specifically in dopaminergic (DA) neurons. Here we generated human induced pluripotent stem cell (hiPSC)-derived DA neurons from three individuals with Brunner syndrome carrying different mutations and characterized neuronal properties at the single cell and neuronal network level in vitro. DA neurons of Brunner syndrome patients showed reduced synaptic density but exhibited hyperactive network activity. Intrinsic functional properties and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR)-mediated synaptic transmission were not affected in DA neurons of individuals with Brunner syndrome. Instead, we show that the neuronal network hyperactivity is mediated by upregulation of the GRIN2A and GRIN2B subunits of the N-methyl-d-aspartate receptor (NMDAR), resulting in increased NMDAR-mediated currents. By correcting a MAOA missense mutation with CRISPR/Cas9 genome editing we normalized GRIN2A and GRIN2B expression, NMDAR function and neuronal population activity to control levels. Our data suggest that MAOA mutations in Brunner syndrome increase the activity of dopaminergic neurons through upregulation of NMDAR function, which may contribute to the etiology of Brunner syndrome associated phenotypes.
Collapse
Affiliation(s)
- Jon-Ruben van Rhijn
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Yan Shi
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Maren Bormann
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Britt Mossink
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Monica Frega
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical neurophysiology, University of Twente, 7522 NB Enschede, Netherlands
| | - Hatice Recaioglu
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marina Hakobjan
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Teun Klein Gunnewiek
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Anatomy, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Chantal Schoenmaker
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Elizabeth Palmer
- Genetics of Learning Disability Service, Hunter Genetics, Waratah, NSW, Australia; School of Women's and Children's Health, University of New South Wales, Randwick, NSW, Australia
| | - Laurence Faivre
- Centre de Référence Anomalies du développement et Syndromes malformatifs and FHU TRANSLAD, Hôpital d'Enfants, Dijon, France; INSERM UMR1231 GAD, Faculté de Médecine, Université de Bourgogne, Dijon, France
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe-University, Frankfurt, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Dirk Schubert
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Han Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Clinical Genetics, MUMC+, GROW School of Oncology and Developmental Biology, and MHeNS School of Neuroscience and Maastricht University, Maastricht, the Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Nael Nadif Kasri
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands.
| |
Collapse
|
18
|
Essers R, Acharya G, Al-Nasiry S, Brunner H, Deligiannis SP, Fonova EA, Kurg A, Lebedev IN, Macville MVE, Nikitina TV, Salumets A, Sazhenova EA, Stevens SJC, Tolmacheva EN, Zaman. Esteki M. P–381 Deciphering the genetic cause of recurrent and sporadic pregnancy loss. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
To investigate the prevalence and effect of (mosaic) de novo genomic aberrations in recurrent pregnancy loss (RPL) and sporadic abortion (SA).
Summary answer
Prevalence of maternal uniparental disomies (UPDs) was high in both cohorts. While chromosomal UPDs were found in both cohorts, genome wide UPDs were RPL specific.
What is known already
Spontaneous abortion occurs in 10–15% of clinically recognized pregnancies and recurrent pregnancy loss in 1–3%. SA and RPL are associated with reduced quality of life. Multiple factors contribute to SA and RPL, such as uterine malformations and parental/fetal chromosomal abnormalities. However, in ∼60% of SA and RPL the cause remains unknown. UPD is defined as the presence of two homologues chromosomes originating from a single parent. This phenomenon can lead to imprinting disorders that are characterised by clinical features affecting growth, development and metabolism in liveborn offspring. However, it could also be responsible for pregnancy loss.
Study design, size, duration
We recruited 32 families with pregnancy loss (n = 16 RPL cohort, n = 16 SA cohort) with no known genetic predispositions and normal karyotyping results in both parents and the fetus. Average maternal age was 28.68 years (SD = 5.43), paternal age 30.3 years (SD = 5.53), and the gestational age at pregnancy loss was 8.65 weeks (SD = 2.47). The average number of miscarriages in the RPL group was 3.57 (SD = 0.84). We profiled the genomic landscape of both cohorts using SNP typing.
Participants/materials, setting, methods
We isolated DNA from blood of both parents and the placental tissues from the miscarried products of conception. The placenta tissues were sampled from two distinct extraembryonic and embryonic germ layers, the extraembryonic mesoderm and the chorionic villi cytotrophoblast. Subsequently, we performed SNP-genotyping using Illumina’s Global-Screening Array–24 v2.0 BeadChips and applied haplarithmisis to delineate allelic architecture of fetal tissues of both cohorts. This allowed us to detect large de novo copy-number and -neutral (>10kb) changes.
Main results and the role of chance
In this pilot study, we have analyzed 132 DNA samples (n = 32 families), of which 16 families were in the RPL cohort and 16 in the SA cohort. Within the RPL cohort, we found: one family with mosaic genome wide hexaploidy both in the extraembryonic mesoderm and chorionic villi, one family with a non-mosaic genome wide hetero UPD of the chorionic villi tissue, one family with a mosaic UPD of chromosome 14 in both tissues and tetraploidy exclusively in the chorionic villi, one family with a mosaic UPD of chromosome 16 in both tissues, one family with a mosaic UPD of chromosome 6 in both tissues, and another family with a mosaic UPD of chromosome 5 in the extraembryonic mesoderm. Within the SA group, one family showed a UPD of chromosome 7 and another family showed a segmental UPD of chromosome 5 in both tissues. Strikingly, all the UPDs found in this study were maternal in origin.
Limitations, reasons for caution
The main limitation of this study is the resolution of detecting copy-neutral and copy-number variations, which is an inherent limiting factor of SNP-array technology. In addition, in the sample in which we observed non-mosaic genome wide UPD, maternal contamination is likely that can be investigated by other technologies.
Wider implications of the findings: Multiple genome wide UPDs are found in the RPL group but none in the SA group, indicating an association between genome wide mosaic UPD and RPL. These findings could lead to a better understanding of causative factors for SA and RPL and the need for a SNP-based non-invasive prenatal testing.
Trial registration number
Not applicable
Collapse
Affiliation(s)
- R Essers
- GROW School for Oncology and Developmental Biology, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
| | - G Acharya
- Karolinska Institutet and Department of Women`s Health- Karolinska- University Hospital, Division of Obstetrics and Gynecology- Department of Clinical Science- Intervention & Technology CLINTEC, Stockholm, Sweden
| | - S Al-Nasiry
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
| | - H Brunner
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
- Radboud University Medical Center Department of Human Genetics, Nijmegen, The Netherlands
| | - S P Deligiannis
- Institute of Clinical Medicine- University of Tartu, Department of Obstetrics and Gynecology, Tartu, Estonia
| | - E A Fonova
- Tomsk National Research Medical Center, Research Institute of Medical Genetics, Tomsk, Russia C.I.S
| | - A Kurg
- Institute of Molecular and Cell Biology- University of Tartu, Department of Biotechnology, Tartu, Estonia
| | - I N Lebedev
- Tomsk National Research Medical Center, Research Institute of Medical Genetics, Tomsk, Russia C.I.S
| | - M V E Macville
- GROW School for Oncology and Developmental Biology, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
| | - T V Nikitina
- Tomsk National Research Medical Center, Research Institute of Medical Genetics, Tomsk, Russia C.I.S
| | - A Salumets
- Karolinska Institutet and Department of Women`s Health- Karolinska- University Hospital, Division of Obstetrics and Gynecology- Department of Clinical Science- Intervention & Technology CLINTEC, Stockholm, Sweden
- Institute of Clinical Medicine- University of Tartu, Department of Obstetrics and Gynecology, Tartu, Estonia
| | - E A Sazhenova
- Tomsk National Research Medical Center, Research Institute of Medical Genetics, Tomsk, Russia C.I.S
| | - S J C Stevens
- GROW School for Oncology and Developmental Biology, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
| | - E N Tolmacheva
- Tomsk National Research Medical Center, Research Institute of Medical Genetics, Tomsk, Russia C.I.S
| | - M Zaman. Esteki
- GROW School for Oncology and Developmental Biology, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Center MUMC+, Department of Clinical Genetics, Maastricht, The Netherlands
| |
Collapse
|
19
|
Koeck R, Tost J, Busato F, Consten D, Van Echten-Arends J, Mastenbroek S, Wurth Y, Zandstra H, Van Golde R, Dumoulin J, Brunner H, Zamani Esteki M, Van Montfoort A. O-074 No methylome differences observed in IVF children born after embryo culture in different culture media. Hum Reprod 2021. [DOI: 10.1093/humrep/deab125.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Study question
Does human embryo culture in different IVF culture media lead to DNA methylation alterations in IVF offspring?
Summary answer
Genome-wide analyses identified no significant DNA methylation differences between culture medium groups in IVF children (neonates or 9-year olds) from two culture media studies.
What is known already
During in vitro fertilisation (IVF) treatments, embryos undergo preimplantation development in an artificial environment, while concurrently undergoing epigenetic reprogramming. Adversity during this period, such as peri-conception calorie restriction, has been linked to persistent DNA methylation aberrations and increased risk of cardiometabolic disease. Early environmental adversity is suspected in IVF offspring as they are born with lower birthweights and show increased risk of cardiometabolic dysfunction in adulthood as compared to their naturally-conceived counterparts. This is further supported by the observation from two culture media trials (MEDIUM0 and MEDIUM1) that embryo culture in different culture media leads to differences in birthweight.
Study design, size, duration
We recruited singleton offspring from two IVF culture media trials. The MEDIUM0 study, a pseudo-randomized trial comparing G3 (Vitrolife) and K-SICM (Cook), was conducted from 2003-2006. At the 9-year follow-up, saliva was collected (cohort-A). The MEDIUM1 study, a multi-center randomized controlled trial comparing G5 (Vitrolife) and HTF (Lonza), was conducted from 2010-2012. Umbilical cord blood (UCB) was collected at birth (cohort-B).
Participants/materials, setting, methods
DNA methylation was analysed in 120 saliva samples (65 G3, 55 Cook) and 106 UCB samples (47 HTF, 59 G5) using the Infinium MethylationEPIC array (Illumina). Mixed effects linear models, correcting for (gestational) age, sex, sample composition and batch effects alongside maternal age, pregnancy complications and IVF centre for cohort-B, were implemented at single or aggregated sites. Methylation outliers were defined as values over three interquartile ranges below or above 25th and 75th percentiles respectively.
Main results and the role of chance
111 of the 120 saliva samples (60 G3, 51 Cook) and 105 of the 106 UCB samples (47 HTF, 58 G5) passed our quality control criteria. We filtered sites on sex chromosomes, and based on quality, proximity to single-nucleotide polymorphisms, and proportion of missing values, leaving 650,000-700,000 of the 850,000 sites included on the EPIC array for our analyses. To account for heterogeneity in the cellular composition of our samples we estimated their cell compositions using a reference-based approach. First, we investigated individual CpG sites, finding no differentially methylated sites in either cohort after correction for multiple testing (false discovery rate adjusted p. value threshold < 0.1). Sites were then aggregated into regions based on their allocations to genes, promoters and CpG islands. No differentially methylated regions were identified in either cohort. A targeted analysis of DNA methylation of imprinting genes showed no differentially methylated sites or regions. To examine the contribution of stochastic epigenetic alterations we quantified the number of methylation outliers per sample. Although this revealed a predominance of hypomethylation outliers, there was no difference in the total number or distribution of DNA methylation outliers between the two culture media groups of cohort-A and cohort-B.
Limitations, reasons for caution
This analysis is currently limited by the lack of comparison to a naturally-conceived control group. As such, we cannot yet conclude whether IVF embryo culture, in any medium, is associated with DNA methylation aberrations. Additionally, given the large number of comparisons, we may lack power to detect small differences.
Wider implications of the findings
Although there are disparities in birth weight and childhood growth after embryo culture in different media, we observed no DNA methylation alterations preserved postnatally. Whether DNA methylation of these individuals deviates from that of naturally-conceived individuals will be determined in the near future.
Trial registration number
MEDIUM1: NTR 1979 /NL1866 (Netherlands Trial Registry)
Collapse
Affiliation(s)
- R Koeck
- Maastricht University, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Centre MUMC+, Clinical Genetics, Maastricht, The Netherlands
| | - J Tost
- CEA-Centre National de Recherche en Genomique Humaine, Laboratory for Epigenetics & Environment, Evry, France
| | - F Busato
- CEA-Centre National de Recherche en Genomique Humaine, Laboratory for Epigenetics & Environment, Evry, France
| | - D Consten
- St. Elisabeth-TweeSteden Hospital, Center for Reproductive Medicine, Tilburg, The Netherlands
| | - J Van Echten-Arends
- University Medical Center Groningen- University of Groningen, Section of Reproductive Medicine- Department of Obstetrics and Gynecology, Groningen, The Netherlands
| | - S Mastenbroek
- Amsterdam Reproduction & Development Research Institute- Amsterdam UMC- University of Amsterdam, Center for Reproductive Medicine, Amsterdam, The Netherlands
| | - Y Wurth
- St. Elisabeth-TweeSteden Hospital, Center for Reproductive Medicine, Tilburg, The Netherlands
| | - H Zandstra
- Maastricht University Medical Center+, Department of Obstetrics and Gynaecology- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
| | - R Van Golde
- Maastricht University Medical Center+, Department of Obstetrics and Gynaecology- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
| | - J Dumoulin
- Maastricht University Medical Center+, Department of Obstetrics and Gynaecology- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
| | - H Brunner
- Maastricht University Medical Centre MUMC+, Clinical Genetics, Maastricht, The Netherlands
- Radboud University Medical Center, Department of Human Genetics, Nijmegen, The Netherlands
| | - M Zamani Esteki
- Maastricht University, Department of Genetics and Cell Biology, Maastricht, The Netherlands
- Maastricht University Medical Centre MUMC+, Clinical Genetics, Maastricht, The Netherlands
- *joint last author, x, The Netherlands
| | - A Van Montfoort
- Maastricht University Medical Center+, Department of Obstetrics and Gynaecology- GROW School for Oncology and Developmental Biology, Maastricht, The Netherlands
- *joint last author, x, The Netherlands
| |
Collapse
|
20
|
Ruperto N, Foeldvari I, Alexeeva E, Aktay Ayaz N, Calvo I, Kasapcopur O, Chasnyk V, Hufnagel M, Żuber Z, Schulert G, Ozen S, Popov A, Ramanan A, Scott C, Sözeri B, Zholobova E, Zhu X, Whelan S, Pricop L, Ravelli A, Martini A, Lovell DJ, Brunner H. LB0004 EFFICACY AND SAFETY OF SECUKINUMAB IN ENTHESITIS-RELATED ARTHRITIS AND JUVENILE PSORIATIC ARTHRITIS: PRIMARY RESULTS FROM A RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED, TREATMENT WITHDRAWAL, PHASE 3 STUDY (JUNIPERA). Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.5038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Enthesitis-related arthritis (ERA) and juvenile psoriatic arthritis (JPsA) are two ILAR categories of juvenile idiopathic arthritis (JIA) and represent paediatric correlates of axial spondyloarthritis (axSpA) and adult psoriatic arthritis (PsA), respectively.1,2 Secukinumab (SEC) has demonstrated efficacy and safety in adult patients (pts) with PsA, ankylosing spondylitis and non-radiographic axSpA.3-5Objectives:Evaluate efficacy and safety of SEC using a flare prevention design in pts with active ERA and JPsA.Methods:This 2-yr study consisted of an open-label (OL) s.c. SEC (75/150 mg in pts <50/ ≥50 kg) at baseline (BL), and at Weeks (Wk) 1, 2, 3, 4, 8 and 12 in treatment-period (TP) 1. Responder pts who achieved at least JIA ACR 30 response at Wk 12 were randomised into the double-blinded TP2 to continue SEC or placebo (PBO) q4w until a disease flare, or up to Wk 100. Pts (aged 2 to <18 yrs) classified as ERA or JPsA according to ILAR criteria of ≥6 months duration with active disease were included. Primary endpoint was time to flare in TP2 and key secondary endpoints were JIA ACR 30/50/70/90/100, inactive disease, JADAS, enthesitis count and safety. Analysis of time to flare in TP2 included proportion of disease flare, Kaplan-Meier (KM) estimate of median time to flare in days, hazard ratio (95% CI) from Cox model, and P-value for the Stratified log-rank test. KM estimates of the probability to disease flare by treatment groups in TP2 were plotted against days. Observed data were used in all analyses. Post-hoc analyses using non-responder imputation (NRI) were performed for JIA ACR 30/50/70/90/100 responses.Results:86/97 (89%) pts were enrolled in the OL period TP1 (mean age, 13.1 yrs; female, 33.7%; ERA, n=52; JPsA, n=34). At BL, mean JADAS-27 score was 15.1 and enthesitis count was 2.6. At the end of TP1, 90.4% (75/83) of pts achieved JIA ACR 30 and 69.9% (58/83) achieved JIA ACR 70. There were 21 and 10 flares in TP2, respectively in PBO and SEC treated pts with a significantly longer time to flare and 72% risk of flare reduction in SEC treatment vs PBO (HR: 0.28; 95% CI: 0.13–0.63; P<0.001) (Figure 1). JIA ACR responses, disease activity and enthesitis count are reported in Table 1. NRI analyses showed that 87.2%, 83.7%, 67.4%, 38.4% and 24.4% of pts achieved JIA ACR 30/50/70/90/100, respectively. Rates of adverse events (AEs; 91.7% vs 92.1%) and serious AEs (14.6% vs 10.5%) in SEC and PBO groups were comparable in the entire TP. No new safety signals were observed.Table 1.Efficacy of secukinumab in Treatment Periods 1 and 2 (Key secondary endpoints)Efficacy Outcomes, %TP1TP2¥SEC (N=83)^SEC (N=37)PBO (N=37)P-valueJIA ACR 3090.489.264.90.014JIA ACR 5086.778.462.20.152JIA ACR 7069.967.643.20.042JIA ACR 9039.851.440.50.431JIA ACR 10025.343.237.80.745Inactive disease#36.147.237.80.500JADAS-27, mean (SD)15.1 (7.2)14.6 (8.1)13.3 (5.8)NAEnthesitis count, mean change from BL (SD)−1.8 (2.3)−2.1 (2.0)−1.9 (1.2)NAP-values: Cochran-Mantel-Haenszel test, adjusted for analysis factors: JIA category (ERA/ JPsA) and MTX use at BL¥The N numbers are values at the end of TP2^Efficacy outcomes (%) in TP1 calculated in patients with evaluable data at Wk 12 (N=83)#Inactive disease: Definition adapted from JIA ACR criteria of Wallace et al., 2011. N=36 for SEC at the end of TP2JADAS, Juvenile Arthritis Disease Activity Score; N, total number of patients in the treatment group; NA, data not availableFigure 1.Time to flare in Treatment Period 2 (Primary Endpoint)Conclusion:In children and adolescents with ERA and JPsA, efficacy of SEC was demonstrated with a significantly longer time to flare vs PBO with sustained improvement of signs and symptoms up to Wk 104 and a favourable safety profile.References:[1]Colbert RA. Nat Rev Rheumatol. 2010;6:477–85.[2]Martini A, et al. J Rheumatol. 2019;46:190–7.[3]McInnes IB, et al. Lancet. 2015;386:1137–46.[4]Baeten D, et al. N Engl J Med. 2015;373:2534–48.[5]Deodhar A, et al. Arthritis Rheumatol. 2021;73:110–20.Disclosure of Interests:Nicolino Ruperto Consultant of: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers and Squibb, Celgene, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Grant/research support from: BMS, Eli-Lilly, GlaxoSmithKline, F Hoffmann-La Roche, Janssen, Novartis, Pfizer, Sobi, Speakers bureau: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers and Squibb, Celgene, Eli-Lilly, EMD Serono, Glaxo Smith and Kline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Ivan Foeldvari Consultant of: Novartis, Speakers bureau: Novartis, Ekaterina Alexeeva Grant/research support from: Novartis, Pfizer, Sanofi, MSD, AMGEN, Eli Lilly, Roche, Speakers bureau: Novartis, Pfizer, Sanofi, MSD, AMGEN, Eli Lilly, Roche, NURAY AKTAY AYAZ: None declared, Inmaculada Calvo Consultant of: Sobi, Novartis, Abbvie, GlaxoSmithKline, Pfizer, Amgen, Clementia, Speakers bureau: Sobi, Novartis, Abbvie, GlaxoSmithKline, Pfizer, Amgen, Clementia, Ozgur KASAPCOPUR: None declared, Vyacheslav Chasnyk: None declared, Markus Hufnagel Grant/research support from: Astellas, F. Hoffmann-La Roche, Novartis, Zbigniew Żuber: None declared, Grant Schulert Consultant of: Sobi, Novartis, Seza Ozen: None declared, Artem Popov: None declared, Athimalaipet Ramanan Speakers bureau: Roche, Sobi, Eli Lilly, UCB, Novartis, Christiaan Scott: None declared, Betül Sözeri: None declared, Elena Zholobova Grant/research support from: Pfizer, Novartis, Speakers bureau: Abbvie, Pfizer, Roche, Novartis, Xuan Zhu Employee of: Novartis, sarah whelan Employee of: Novartis, Shareholder of: Novartis, Luminita Pricop Employee of: Novartis, Shareholder of: Novartis, Angelo Ravelli Consultant of: Abbvie, Bristol-Myers Squibb, Pfizer, Hoffmann-LaRoche, Novartis, Centocor, Angelini Holding, Reckitt Benckiser, Speakers bureau: Abbvie, Bristol-Myers Squibb, Pfizer, Hoffmann-LaRoche, Novartis, Centocor, Angelini Holding, Reckitt Benckiser, Alberto Martini Consultant of: Eli Lilly, EMD Serono, Janssen, Novartis, Pfizer, Abbvie, Speakers bureau: Eli Lilly, EMD Serono, Janssen, Novartis, Pfizer, Abbvie, Daniel J Lovell Consultant of: AstraZeneca, Wyeth, Amgen, Abbott, Pfizer, Hoffmann-La Roche, Novartis, UBC, Takeda, Janssen, GlaxoSmithKline, Boehringer Ingelheim, Celgene, Bristol Myers Squibb, AbbVie, Forest Research, Speakers bureau: AstraZeneca, Wyeth, Amgen, Abbott, Pfizer, Hoffmann-La Roche, Novartis, UBC, Takeda, Janssen, GlaxoSmithKline, Boehringer Ingelheim, Celgene, Bristol Myers Squibb, AbbVie, Forest Research, Hermine Brunner Consultant of: Aurina, AbbVie, Astra Zeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, F. Hoffmann-La Roche, Merck, Novartis, R-Pharm, Sanofi, Pfizer, Grant/research support from: Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, F. Hoffmann-La Roche, Janssen, Novartis, and Pfizer, Speakers bureau: Pfizer, Roche and GlaxoSmithKline
Collapse
|
21
|
Ruperto N, Schulert G, Sproles A, Thornton S, Vega Cornejo G, Anton J, Cuttica R, Henrickson M, Foeldvari I, Kingsbury D, Askelson M, Liu J, Mukherjee S, Wong R, Lovell DJ, Martini A, Grom A, Brunner H. POS0076 S100A8/A9 AND S100A12 AS POTENTIAL PREDICTIVE BIOMARKERS OF ABATACEPT RESPONSE IN POLYARTICULAR JUVENILE IDIOPATHIC ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.1081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The calcium-binding proteins S100A8/A9 (calprotectin) and S100A12 (extracellular newly identified receptor for advanced glycation end-products binding protein [EN-RAGE]) are involved in multiple signalling pathways to mediate inflammation, can be secreted by activated monocytes/macrophages and exhibit cytokine-like extracellular functions. Circulating levels of these proteins have been associated with disease and clinical responses in systemic juvenile idiopathic arthritis (sJIA), including treatment response.1 Studies suggest that serum S100A8/A9 and S100A12, which are released at inflammation sites, are more specific biomarkers of local inflammation (e.g. in the synovium) than systemic biomarkers such as CRP and ESR.2,3Objectives:To investigate if baseline S100A8/A9 and S100A12 predict clinical response to abatacept treatment in polyarticular JIA (pJIA), and to assess whether changes from baseline in S100A8/A9 or S100A12 can be better prognostic markers for response to abatacept treatment than CRP in pJIA.Methods:Data are from a phase III trial of SC abatacept for the treatment of pJIA (NCT01844518).4 This 24-month, single-arm, open-label, international, multicentre, two-part study included male and female patients with pJIA aged 2–17 years. This analysis examined the correlation between biomarkers (S100A8/A9, S100A12 and high-sensitivity CRP [hsCRP]) and disease activity (measured using Juvenile Arthritis Disease Activity Score [JADAS]) at baseline, baseline biomarker values as predictors of future treatment response (ACR and JADAS endpoints), and the correlation between change from baseline in biomarker values and treatment response at Day 113.Results:Of 219 total patients, 158 (72%) had S100A8/A9 values and 155 (71%) had S100A12 values at baseline. Median S100A8/A9 and S100A12 values were 3295 ng/mL (normal range, 716–3004 ng/mL) and 176 ng/mL (normal range, 32–385 ng/mL), respectively. S100A8/A9, S100A12 and hsCRP (median 0.20 mg/dL; normal ≤0.6 mg/dL) had a low-to-moderate but significant association with disease activity at baseline; coefficients for associations between JADAS71-CRP low disease activity (LDA) and the biomarkers S100A8/A9, S100A12 and hsCRP were 0.23 (p=0.0038), 0.16 (p=0.0448) and 0.26 (p=0.0001), respectively. Baseline S100A8/A9 level above the median was associated with lower odds of ACR100 at Day 113 (p=0.0052). Figure 1 shows the associations of baseline biomarker values with Day 113 ACR and JADAS scores in the overall population. Baseline S100A8/A9 or S100A12 did not significantly influence ACR50 or ACR70 responses at Day 113, but high baseline values were associated with reduced odds of ACR90 (p=0.01), ACR100 (p=0.005), ACR-inactive disease (ID) (p=0.0001), and JADAS71-CRP (LDA) (p=0.02). By Day 477, elevated baseline S100A12 was still significantly associated with lower odds of ACR100 overall (0.467; p=0.0248) but baseline S100A8/A9 was not; at Day 645, neither was significantly associated with ACR100 response. At Day 113, changes from baseline in S100A8/A9 and S100A12 were correlated with ACR100 (coefficients of 0.22 [p=0.0082] and 0.26 [p=0.0015], respectively) and with ACR-ID (0.22 [p=0.0067] and 0.26 [p=0.0014], respectively); change in hsCRP was not significantly correlated with disease response.Conclusion:S100A8/A9 and S100A12 may serve as prognostic biomarkers to predict response to abatacept treatment at Day 113. Changes from baseline S100A8/A9 and S100A12 levels were more highly correlated with efficacy outcomes including ACR100 and ACR-ID at Day 113 compared with hsCRP.References:[1]Aljaberi N, et al. Pediatr Rheumatol Online J 2020;18:7.[2]Hammer H, et al. Arthritis Res Ther 2011;13:R178.[3]Nordal HH, et al. BMC Musculoskelet Disord 2014;15:335.[4]Brunner H, et al. Arthritis Rheumatol 2018;70:1144–1154.Acknowledgements:Professional medical writing and editorial assistance was provided by Rob Coover, MPH, at Caudex and was funded by Bristol Myers Squibb.Disclosure of Interests:Nicolino Ruperto Speakers bureau: NR has received honoraria for consultancies or speaker bureaus (< 10.000 USD each) from the following pharmaceutical companies in the past 3 years: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Consultant of: NR has received honoraria for consultancies or speaker bureaus (< 10.000 USD each) from the following pharmaceutical companies in the past 3 years: Ablynx, Astrazeneca-Medimmune, Bayer, Biogen, Boehringer, Bristol Myers Squibb, Celgene, Eli Lilly, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sinergie, Sobi and UCB, Grant/research support from: The IRCCS Istituto Giannina Gaslini (IGG), where NR works as full-time public employee has received contributions (>10.000 USD each) from the following industries in the last 3 years: Bristol Myers Squibb, Eli Lilly, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi. This funding has been reinvested for the research activities of the hospital in a fully independent manner, without any commitment with third parties., Grant Schulert Speakers bureau: Novartis, Consultant of: SOBI, Alyssa Sproles: None declared, Sherry Thornton: None declared, Gabriel Vega Cornejo Speakers bureau: AbbVie, Grant/research support from: Bristol Myers Squibb, Eli Lilly, Janssen, Parexel, Sanofi, Jordi Anton Speakers bureau: AbbVie, Gebro, GlaxoSmithKline, Novartis, Pfizer, Roche, Sobi, Consultant of: AbbVie, Gebro, GlaxoSmithKline, Novartis, Pfizer, Roche, Sobi, Grant/research support from: AbbVie, Amgen, Gebro, GlaxoSmithKline, Lilly, Novartis, Novimmune, Pfizer, Roche, Sanofi, Sobi, Ruben Cuttica Speakers bureau: AbbVie, Bristol Myers Squibb, GlaxoSmithKline, Lilly, Novartis, Pfizer, Roche, UCB, Paid instructor for: AbbVie, Novartis, Pfizer, Roche, Consultant of: AbbVie, Bristol Myers Squibb, GlaxoSmithKline, Lilly, Novartis, Pfizer, Roche, UCB, Michael Henrickson: None declared, Ivan Foeldvari Consultant of: Bristol Myers Squibb, Gilead, Hexal, MEDAC, Novartis, Pfizer, Sanofi, Daniel Kingsbury Consultant of: Pfizer, Margarita Askelson Consultant of: Currently working for Syneos Health providing services to Bristol Myers Squibb, Jinqi Liu Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Sumanta Mukherjee Shareholder of: Bristol Myers Squibb, GlaxoSmithKline, Employee of: Bristol Myers Squibb, GlaxoSmithKline, Robert Wong Shareholder of: Bristol Myers Squibb, Employee of: Bristol Myers Squibb, Daniel J Lovell Speakers bureau: Genentech, Wyeth Pharm, Consultant of: Abbott, Amgen, AstraZeneca, Boehringer Ingelheim, Celgene, GlaxoSmithKline, Hoffman-La Roche, Novartis, Pfizer, Regeneron, Takeda, UBC, Wyeth Pharma, Xoma, Alberto Martini Speakers bureau: AbbVie, Novartis, Consultant of: AbbVie, Eli Lilly, EMD Serono, Idorsia, Janssen, Novartis, Pfizer, Alexei Grom Consultant of: AB2Bio, Novartis, Sobi (NovImmune), Grant/research support from: AB2Bio, Novartis, Sobi (NovImmune), Hermine Brunner Speakers bureau: GlaxoSmithKline, Novartis, Pfizer, Roche, Paid instructor for: Novartis, Pfizer (funds go to CCHMC/employer), Consultant of: Boehringer Ingelheim, Bristol Myers Squibb, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer, Roche, UCB (funds go to CCHMC/employer), Grant/research support from: Bristol Myers Squibb, Pfizer (funds go to CCHMC/employer).
Collapse
|
22
|
Kargapolova Y, Rehimi R, Kayserili H, Brühl J, Sofiadis K, Zirkel A, Palikyras S, Mizi A, Li Y, Yigit G, Hoischen A, Frank S, Russ N, Trautwein J, van Bon B, Gilissen C, Laugsch M, Gusmao EG, Josipovic N, Altmüller J, Nürnberg P, Längst G, Kaiser FJ, Watrin E, Brunner H, Rada-Iglesias A, Kurian L, Wollnik B, Bouazoune K, Papantonis A. Overarching control of autophagy and DNA damage response by CHD6 revealed by modeling a rare human pathology. Nat Commun 2021; 12:3014. [PMID: 34021162 PMCID: PMC8140133 DOI: 10.1038/s41467-021-23327-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/15/2021] [Indexed: 12/18/2022] Open
Abstract
Members of the chromodomain-helicase-DNA binding (CHD) protein family are chromatin remodelers implicated in human pathologies, with CHD6 being one of its least studied members. We discovered a de novo CHD6 missense mutation in a patient clinically presenting the rare Hallermann-Streiff syndrome (HSS). We used genome editing to generate isogenic iPSC lines and model HSS in relevant cell types. By combining genomics with functional in vivo and in vitro assays, we show that CHD6 binds a cohort of autophagy and stress response genes across cell types. The HSS mutation affects CHD6 protein folding and impairs its ability to recruit co-remodelers in response to DNA damage or autophagy stimulation. This leads to accumulation of DNA damage burden and senescence-like phenotypes. We therefore uncovered a molecular mechanism explaining HSS onset via chromatin control of autophagic flux and genotoxic stress surveillance.
Collapse
Affiliation(s)
- Yulia Kargapolova
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
- Heart Center, University Hospital Cologne, Cologne, Germany.
| | - Rizwan Rehimi
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Cluster of Excellence Cellular Stress Responses in Age-associated Disorders (CECAD), University of Cologne, Cologne, Germany
| | - Hülya Kayserili
- Medical Genetics Department, Koç University School of Medicine, Istanbul, Turkey
| | - Joanna Brühl
- Institute of Molecular Biology and Tumor Research, Philipps-University Marburg, Marburg, Germany
| | | | - Anne Zirkel
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Spiros Palikyras
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Athanasia Mizi
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Yun Li
- Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany
| | - Gökhan Yigit
- Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany
| | - Alexander Hoischen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Stefan Frank
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Neurophysiology, University of Cologne, Cologne, Germany
- Bayer AG, Wuppertal, Germany
| | - Nicole Russ
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Neurophysiology, University of Cologne, Cologne, Germany
| | - Jonathan Trautwein
- Institute of Molecular Biology and Tumor Research, Philipps-University Marburg, Marburg, Germany
| | - Bregje van Bon
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christian Gilissen
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Magdalena Laugsch
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany
| | - Eduardo Gade Gusmao
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Natasa Josipovic
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Janine Altmüller
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Gernot Längst
- Biochemistry Centre Regensburg (BRC), University of Regensburg, Regensburg, Germany
| | - Frank J Kaiser
- Institute of Human Genetics, University Hospital Essen, Essen, Germany
| | - Erwan Watrin
- Research Institute of Genetics and Development, Faculté de Médecine, Rennes, France
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Alvaro Rada-Iglesias
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Cluster of Excellence Cellular Stress Responses in Age-associated Disorders (CECAD), University of Cologne, Cologne, Germany
- Institute of Biomedicine and Biotechnology of Cantabria (IBBTEC), University of Cantabria, Santander, Spain
| | - Leo Kurian
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- Institute of Neurophysiology, University of Cologne, Cologne, Germany
| | - Bernd Wollnik
- Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany
- Cluster of Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (MBExC), University of Göttingen, Göttingen, Germany
| | - Karim Bouazoune
- Institute of Molecular Biology and Tumor Research, Philipps-University Marburg, Marburg, Germany.
| | - Argyris Papantonis
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
| |
Collapse
|
23
|
Wong LY, Glatz JFC, Wang S, Geraets IME, Vanherle S, Wijngaard AVD, Brunner H, Luiken JJFP, Nabben M. Comparison of human and rodent cell models to study myocardial lipid-induced insulin resistance. Prostaglandins Leukot Essent Fatty Acids 2021; 167:102267. [PMID: 33751940 DOI: 10.1016/j.plefa.2021.102267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/10/2021] [Indexed: 10/21/2022]
Abstract
Isolated or cultured cells have proven to be valuable model systems to investigate cellular (patho)biology and for screening of the efficacy of drugs or their possible side-effects. Pluripotent stem cells (PSC) can be readily obtained from healthy individuals as well as from diseased patients, and protocols have been developed to differentiate these cells into cardiomyocytes. Hence, these cellular models are moving center stage for a broader application. In this review, we focus on comparing mouse HL-1 cardiomyocytes, isolated adult rat cardiomyocytes, human embryonic stem cell-derived cardiomyocytes (hESC-CMs) and human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) for the study of metabolic aspects of cardiac functioning in health and disease. Various studies have reported that these cellular models are suitable for assessing substrate uptake and utilization, in that each display an adequate and similar response to physiological triggers, in particular the presence of insulin. Likewise, disease conditions, such as excess lipid supply, similarly affect each of these rodent and human cardiomyocyte models. It is concluded that PSC-CMs obtained from patients with cardiogenetic abnormalities are promising models to evaluate the functional consequence of gene variants with unknown significance.
Collapse
Affiliation(s)
- Li-Yen Wong
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Jan F C Glatz
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Genetics & Cell Biology, Maastricht University Medical Center+ and FHML, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
| | - Shujin Wang
- Department of Genetics & Cell Biology, Maastricht University Medical Center+ and FHML, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands
| | - Ilvy M E Geraets
- Department of Genetics & Cell Biology, Maastricht University Medical Center+ and FHML, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands
| | - Sabina Vanherle
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Arthur van den Wijngaard
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Joost J F P Luiken
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Genetics & Cell Biology, Maastricht University Medical Center+ and FHML, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands
| | - Miranda Nabben
- Department of Clinical Genetics, Maastricht University Medical Center+, Maastricht, the Netherlands; Department of Genetics & Cell Biology, Maastricht University Medical Center+ and FHML, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| |
Collapse
|
24
|
Faundes V, Goh S, Akilapa R, Bezuidenhout H, Bjornsson HT, Bradley L, Brady AF, Brischoux-Boucher E, Brunner H, Bulk S, Canham N, Cody D, Dentici ML, Digilio MC, Elmslie F, Fry AE, Gill H, Hurst J, Johnson D, Julia S, Lachlan K, Lebel RR, Byler M, Gershon E, Lemire E, Gnazzo M, Lepri FR, Marchese A, McEntagart M, McGaughran J, Mizuno S, Okamoto N, Rieubland C, Rodgers J, Sasaki E, Scalais E, Scurr I, Suri M, van der Burgt I, Matsumoto N, Miyake N, Benoit V, Lederer D, Banka S. Clinical delineation, sex differences, and genotype-phenotype correlation in pathogenic KDM6A variants causing X-linked Kabuki syndrome type 2. Genet Med 2021; 23:1202-1210. [PMID: 33674768 PMCID: PMC8257478 DOI: 10.1038/s41436-021-01119-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
Purpose The variant spectrum and the phenotype of X-linked Kabuki syndrome type 2 (KS2) are poorly understood. Methods Genetic and clinical details of new and published individuals with pathogenic KDM6A variants were compiled and analyzed. Results Sixty-one distinct pathogenic KDM6A variants (50 truncating, 11 missense) from 80 patients (34 males, 46 females) were identified. Missense variants clustered in the TRP 2, 3, 7 and Jmj-C domains. Truncating variants were significantly more likely to be de novo. Thirteen individuals had maternally inherited variants and one had a paternally inherited variant. Neonatal feeding difficulties, hypoglycemia, postnatal growth retardation, poor weight gain, motor delay, intellectual disability (ID), microcephaly, congenital heart anomalies, palate defects, renal malformations, strabismus, hearing loss, recurrent infections, hyperinsulinism, seizures, joint hypermobility, and gastroesophageal reflux were frequent clinical findings. Facial features of over a third of patients were not typical for KS. Males were significantly more likely to be born prematurely, have shorter stature, and severe developmental delay/ID. Conclusion We expand the KDM6A variant spectrum and delineate the KS2 phenotype. We demonstrate that the variability of the KS2 phenotypic depends on sex and the variant type. We also highlight the overlaps and differences between the phenotypes of KS2 and KS1.
Collapse
Affiliation(s)
- Víctor Faundes
- Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Laboratorio de Genética y Enfermedades Metabólicas, Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile
| | - Stephanie Goh
- School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rhoda Akilapa
- NW Thames Regional Genetics Service, Northwick Park Hospital, Harrow, UK
| | - Heidre Bezuidenhout
- Clinical Unit of Medical Genetics and Genetic Counselling, Tygerberg Academic Hospital, Cape Town, South Africa.,Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Hans T Bjornsson
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lisa Bradley
- Department of Clinical Genetics, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Angela F Brady
- NW Thames Regional Genetics Service, Northwick Park Hospital, Harrow, UK
| | - Elise Brischoux-Boucher
- Centre de Génétique Humaine, Centre Hospitalier et Universitaire, Université de Franche-Comté, Besançon, France
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Saskia Bulk
- Centre de Génétique Humaine, CHU de Liège, Liège, Belgium
| | - Natalie Canham
- NW Thames Regional Genetics Service, Northwick Park Hospital, Harrow, UK.,Liverpool Centre for Genomic Medicine, Liverpool Women's Hospital, Crown Street, Liverpool, UK
| | - Declan Cody
- Department of Clinical Genetics, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Maria Lisa Dentici
- Medical Genetics Unit, Academic Department of Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Maria Cristina Digilio
- Medical Genetics Unit, Academic Department of Pediatrics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Frances Elmslie
- SW Thames Regional Genetics Service, St George's, University of London, London, UK
| | - Andrew E Fry
- Institute of Medical Genetics, University Hospital of Wales, Heath Park, Cardiff, UK
| | - Harinder Gill
- Department of Clinical Genetics, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Jane Hurst
- NE Thames Genetics Service, Great Ormond Street Hospital, London, UK
| | - Diana Johnson
- Sheffield Clinical Genetics Service, Sheffield Children's NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - Sophie Julia
- Departments of Pathology, Neurosurgery, Oncopediatry, Genetics and Molecular Biology, Toulouse University Hospital, Toulouse, France
| | - Katherine Lachlan
- Wessex Clinical Genetics Service and Division of Human Genetics, Princess Anne Hospital, Southampton, UK
| | - Robert Roger Lebel
- Department of Pediatrics, Section of Medical Genetics, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Melissa Byler
- Department of Pediatrics, Section of Medical Genetics, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Eric Gershon
- Department of Pediatrics, Yale New Haven Health, New Haven, CT, USA
| | - Edmond Lemire
- Department of Pediatrics, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada
| | - Maria Gnazzo
- Laboratory of Medical Genetics, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | | | - Antonia Marchese
- Service de Pédiatrie, Centre Hospitalier Régional de Namur, Namur, Belgium
| | - Meriel McEntagart
- SW Thames Regional Genetics Service, St George's, University of London, London, UK
| | - Julie McGaughran
- Genetic Health Queensland c/-Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Seiji Mizuno
- Department of Clinical Genetics, Central Hospital, Aichi Developmental Disability Center, Aichi, Japan
| | - Nobuhiko Okamoto
- Department of Medical Genetics, Osaka Women's and Children's Hospital, Osaka, Japan.,Department of Molecular Medicine, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Claudine Rieubland
- Division of Human Genetics, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jonathan Rodgers
- Genetic Health Queensland c/-Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Erina Sasaki
- Department of Clinical Genetics, Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Emmanuel Scalais
- Department of Pediatric Neurology, National Hospital, Luxembourg City, Luxembourg
| | - Ingrid Scurr
- Clinical Genetics, University Hospitals Bristol, Bristol, UK
| | - Mohnish Suri
- Nottingham Clinical Genetics Service, City Hospital Campus, Nottingham, UK
| | - Ineke van der Burgt
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| | - Naomichi Matsumoto
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Noriko Miyake
- Department of Human Genetics, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Valérie Benoit
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique, Gosselies, Belgium
| | - Damien Lederer
- Centre de Génétique Humaine, Institut de Pathologie et de Génétique, Gosselies, Belgium
| | - Siddharth Banka
- Division of Evolution & Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. .,Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Health Innovation Manchester, Manchester, UK.
| |
Collapse
|
25
|
Bartels RHMA, Grotenhuis JA, Stegmann APA, Brunner H. Genetic analysis of spinal dysraphism with a hamartomatous growth (appendix) of the spinal cord: a case series. BMC Neurol 2020; 20:121. [PMID: 32252670 PMCID: PMC7132931 DOI: 10.1186/s12883-020-01710-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 03/29/2020] [Indexed: 12/03/2022] Open
Abstract
Background Spinal dysraphism with a hamartomatous growth (appendix) of the spinal cord is better known as herniated spinal cord. There are many arguments in favour of considering it a developmental defect. From this point of view, it is a type of neural tube disorder. Neural tube disorders can be caused by multiple factors, including a genetic factor. A common genetic defect in patients with a spinal dysraphism with a hamartomatous growth of the spinal cord is sought for. Case presentation In two patients with a symptomatic lesion and referred to an academic hospital a genetic analysis was performed after informed consent. Whole-exome analysis was performed. : Whole-exome analysis did not result in identification of a clinically relevant genetic variant. Conclusions This the first study to investigate the genetic contribution to spinal dysraphism with a hamartomatous growth (appendix) of the spinal cord. We could not establish a genetic cause for this entity. This conclusion cannot be definitive due to the small sample size. However, the incidental occurrence, the lack of reports of inheritance of this disorder and the absence of contribution to syndromal disorders favours a defect of normal development of the spinal cord.
Collapse
|
26
|
Masset H, Zamani Esteki M, Dimitriadou E, Dreesen J, Debrock S, Derhaag J, Derks K, Destouni A, Drüsedau M, Meekels J, Melotte C, Peeraer K, Tšuiko O, van Uum C, Allemeersch J, Devogelaere B, François KO, Happe S, Lorson D, Richards RL, Theuns J, Brunner H, de Die-Smulders C, Voet T, Paulussen A, Coonen E, Vermeesch JR. Multi-centre evaluation of a comprehensive preimplantation genetic test through haplotyping-by-sequencing. Hum Reprod 2020; 34:1608-1619. [PMID: 31348829 DOI: 10.1093/humrep/dez106] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/16/2019] [Indexed: 12/14/2022] Open
Abstract
STUDY QUESTION Can reduced representation genome sequencing offer an alternative to single nucleotide polymorphism (SNP) arrays as a generic and genome-wide approach for comprehensive preimplantation genetic testing for monogenic disorders (PGT-M), aneuploidy (PGT-A) and structural rearrangements (PGT-SR) in human embryo biopsy samples? SUMMARY ANSWER Reduced representation genome sequencing, with OnePGT, offers a generic, next-generation sequencing-based approach for automated haplotyping and copy-number assessment, both combined or independently, in human single blastomere and trophectoderm samples. WHAT IS KNOWN ALREADY Genome-wide haplotyping strategies, such as karyomapping and haplarithmisis, have paved the way for comprehensive PGT, i.e. leveraging PGT-M, PGT-A and PGT-SR in a single workflow. These methods are based upon SNP array technology. STUDY DESIGN, SIZE, DURATION This multi-centre verification study evaluated the concordance of PGT results for a total of 225 embryos, including 189 originally tested for a monogenic disorder and 36 tested for a translocation. Concordance for whole chromosome aneuploidies was also evaluated where whole genome copy-number reference data were available. Data analysts were kept blind to the results from the reference PGT method. PARTICIPANTS/MATERIALS, SETTING, METHODS Leftover blastomere/trophectoderm whole genome amplified (WGA) material was used, or secondary trophectoderm biopsies were WGA. A reduced representation library from WGA DNA together with bulk DNA from phasing references was processed across two study sites with the Agilent OnePGT solution. Libraries were sequenced on an Illumina NextSeq500 system, and data were analysed with Agilent Alissa OnePGT software. The embedded PGT-M pipeline utilises the principles of haplarithmisis to deduce haplotype inheritance whereas both the PGT-A and PGT-SR pipelines are based upon read-count analysis in order to evaluate embryonic ploidy. Concordance analysis was performed for both analysis strategies against the reference PGT method. MAIN RESULTS AND THE ROLE OF CHANCE PGT-M analysis was performed on 189 samples. For nine samples, the data quality was too poor to analyse further, and for 20 samples, no result could be obtained mainly due to biological limitations of the haplotyping approach, such as co-localisation of meiotic crossover events and nullisomy for the chromosome of interest. For the remaining 160 samples, 100% concordance was obtained between OnePGT and the reference PGT-M method. Equally for PGT-SR, 100% concordance for all 36 embryos tested was demonstrated. Moreover, with embryos originally analysed for PGT-M or PGT-SR for which genome-wide copy-number reference data were available, 100% concordance was shown for whole chromosome copy-number calls (PGT-A). LIMITATIONS, REASONS FOR CAUTION Inherent to haplotyping methodologies, processing of additional family members is still required. Biological limitations caused inconclusive results in 10% of cases. WIDER IMPLICATIONS OF THE FINDINGS Employment of OnePGT for PGT-M, PGT-SR, PGT-A or combined as comprehensive PGT offers a scalable platform, which is inherently generic and thereby, eliminates the need for family-specific design and optimisation. It can be considered as both an improvement and complement to the current methodologies for PGT. STUDY FUNDING/COMPETING INTEREST(S) Agilent Technologies, the KU Leuven (C1/018 to J.R.V. and T.V.) and the Horizon 2020 WIDENLIFE (692065 to J.R.V. and T.V). H.M. is supported by the Research Foundation Flanders (FWO, 11A7119N). M.Z.E, J.R.V. and T.V. are co-inventors on patent applications: ZL910050-PCT/EP2011/060211- WO/2011/157846 'Methods for haplotyping single cells' and ZL913096-PCT/EP2014/068315 'Haplotyping and copy-number typing using polymorphic variant allelic frequencies'. T.V. and J.R.V. are co-inventors on patent application: ZL912076-PCT/EP2013/070858 'High-throughput genotyping by sequencing'. Haplarithmisis ('Haplotyping and copy-number typing using polymorphic variant allelic frequencies') has been licensed to Agilent Technologies. The following patents are pending for OnePGT: US2016275239, AU2014345516, CA2928013, CN105874081, EP3066213 and WO2015067796. OnePGT is a registered trademark. D.L., J.T. and R.L.R. report personal fees during the conduct of the study and outside the submitted work from Agilent Technologies. S.H. and K.O.F. report personal fees and other during the conduct of the study and outside the submitted work from Agilent Technologies. J.A. reports personal fees and other during the conduct of the study from Agilent Technologies and personal fees from Agilent Technologies and UZ Leuven outside the submitted work. B.D. reports grants from IWT/VLAIO, personal fees during the conduct of the study from Agilent Technologies and personal fees and other outside the submitted work from Agilent Technologies. In addition, B.D. has a patent 20160275239 - Genetic Analysis Method pending. The remaining authors have no conflicts of interest.
Collapse
Affiliation(s)
- Heleen Masset
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Masoud Zamani Esteki
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium.,Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Jos Dreesen
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Sophie Debrock
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, Belgium
| | - Josien Derhaag
- Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands.,Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Kasper Derks
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Aspasia Destouni
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium.,Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.,Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA, USA
| | - Marion Drüsedau
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jeroen Meekels
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Cindy Melotte
- Center for Human Genetics, University Hospitals of Leuven, Leuven, Belgium
| | - Karen Peeraer
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, Belgium
| | - Olga Tšuiko
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Chris van Uum
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Joke Allemeersch
- Diagnostics and Genomics Group, Agilent Technologies, Heverlee, Belgium
| | | | | | - Scott Happe
- Diagnostics and Genomics Group, Agilent Technologies, Cedar Creek, TX, USA
| | - Dennis Lorson
- Diagnostics and Genomics Group, Agilent Technologies, Heverlee, Belgium
| | - Rebecca Louise Richards
- Diagnostics and Genomics Group, Agilent Technologies, Heverlee, Belgium.,Diagnostics and Genomics Group, Agilent Technologies, Niel, Belgium
| | - Jessie Theuns
- Diagnostics and Genomics Group, Agilent Technologies, Niel, Belgium
| | - Han Brunner
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Christine de Die-Smulders
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Thierry Voet
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Aimée Paulussen
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Edith Coonen
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.,Research Institute GROW, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Joris Robert Vermeesch
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium.,Center for Human Genetics, University Hospitals of Leuven, Leuven, Belgium
| |
Collapse
|
27
|
Ruperto N, Synoverska O, Ting T, Abud-Mendoza C, Spindler A, Vyzhga Y, Marzan K, Keltsev V, Tirosh I, Imundo L, Jerath R, Kingsbury D, Sözeri B, Vora S, Prahalad S, Zholobova E, Butbul Aviel Y, Chasnyk V, Lerman M, Nanda K, Schmeling H, Tory H, Uziel Y, Viola DO, Posner H, Kanik K, Wouters A, Chang C, Zhang R, Lazariciu I, Hsu MA, Suehiro R, Martini A, Lovell DJ, Brunner H. OP0291 TOFACITINIB FOR THE TREATMENT OF POLYARTICULAR COURSE JUVENILE IDIOPATHIC ARTHRITIS: RESULTS OF A PHASE 3, RANDOMISED, DOUBLE-BLIND, PLACEBO-CONTROLLED WITHDRAWAL STUDY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.396] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Tofacitinib is an oral JAK inhibitor that is being investigated for JIA.Objectives:To assess tofacitinib efficacy and safety in JIA patients (pts).Methods:This was a Phase 3, randomised, double-blind (DB), placebo (PBO)-controlled withdrawal study in pts aged 2−<18 years with polyarticular course JIA (pcJIA), PsA or ERA (NCT02592434). In the 18-week open-label Part 1, pts received weight-based tofacitinib doses (5 mg BID or lower). Pts with ≥JIA ACR30 response at Week (W)18 were randomised 1:1 in the DB Part 2 (W18−44) to continue tofacitinib or switch to PBO. Primary endpoint: disease flare rate by W44. Key secondary endpoints: JIA ACR50/30/70 response rates; change from Part 2 baseline (Δ) in CHAQ-DI at W44. Other efficacy endpoints: time to disease flare in Part 2; JADAS27-CRP in Parts 1 and 2. PsA/ERA pts were excluded from these efficacy analyses. Safety was evaluated in all pts up to W44.Results:225 enrolled pts with pcJIA (n=184), PsA (n=20) or ERA (n=21) received tofacitinib in Part 1. At W18, 173/225 (76.9%) pts entered Part 2 (pcJIA n=142, PsA n=15, ERA n=16). In pcJIA pts, disease flare rate in Part 2 was significantly lower with tofacitinib vs PBO by W44 (p=0.0031; Fig 1a). JIA ACR50/30/70 response rates (Fig 1b) and ΔCHAQ-DI (Fig 1c) at W44, and time to disease flare in Part 2 (Fig 2a), were improved with tofacitinib vs PBO. Tofacitinib reduced JADAS27-CRP in Part 1; this effect was sustained in Part 2 (Fig 2b). Overall, safety was similar with tofacitinib or PBO (Table): 77.3% and 74.1% had adverse events (AEs); 1.1% and 2.4% had serious AEs. In Part 1, 2 pts had herpes zoster (non-serious) and 3 pts had serious infections (SIs). In Part 2, SIs occurred in 1 tofacitinib pt and 1 PBO pt. No pts died.Conclusion:In pcJIA pts, tofacitinib vs PBO resulted in significantly fewer disease flares, and improved time to flare, disease activity and physical functioning. Tofacitinib safety was consistent with that in RA pts.Table.Safety in all ptsPart 1Part 2TofacitinibaN=225TofacitinibaN=88PBO N=85Pts with events, n (%)AEs153 (68.0)68 (77.3)63 (74.1)SAEs7 (3.1)1 (1.1)2 (2.4)Permanent discontinuations due to AEs26 (11.6)16 (18.2)29 (34.1)AEs of special interest Death000 Gastrointestinal perforationb000 Hepatic eventb3 (1.3)00 Herpes zoster (non-serious and serious)2 (0.9)c00 Interstitial lung diseaseb000 Major adverse cardiovascular eventsb000 Malignancy (including non-melanoma skin cancer)b000 Macrophage activation syndromeb000 Opportunistic infectionb000 SI3 (1.3)1 (1.1)d1 (1.2) Thrombotic event (deep vein thrombosis, pulmonary embolismbor arterial thromboembolism)000 Tuberculosisb000a5 mg BID or equivalent weight-based lower dose in pts <40 kgbAdjudicated eventscBoth non-seriousdOne SAE of pilonidal cyst repair was coded to surgical procedures instead of infections, and was inadvertently not identified as an SI. Following adjudication, the SAE did not meet opportunistic infection criteria; it is also included in the table as an SIAE, adverse event; BID, twice daily; PBO, placebo; pts, patients; SAE, serious AE; SI, serious infectionAcknowledgments:Study sponsored by Pfizer Inc. Medical writing support was provided by Sarah Piggott of CMC Connect and funded by Pfizer Inc.Disclosure of Interests:Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Olga Synoverska Speakers bureau: Sanofi, Tracy Ting: None declared, Carlos Abud-Mendoza Speakers bureau: Eli Lilly, Pfizer Inc, Alberto Spindler Speakers bureau: Eli Lilly, Yulia Vyzhga Grant/research support from: Pfizer Inc, Katherine Marzan Grant/research support from: Novartis, Vladimir Keltsev: None declared, Irit Tirosh: None declared, Lisa Imundo: None declared, Rita Jerath: None declared, Daniel Kingsbury: None declared, Betül Sözeri: None declared, Sheetal Vora: None declared, Sampath Prahalad Grant/research support from: Novartis, Elena Zholobova Grant/research support from: Novartis and Pfizer Inc, Speakers bureau: AbbVie, Novartis, Pfizer Inc and Roche, Yonatan Butbul Aviel: None declared, Vyacheslav Chasnyk: None declared, Melissa Lerman Grant/research support from: Amgen, Kabita Nanda Grant/research support from: Abbott, AbbVie, Amgen and Roche, Heinrike Schmeling Grant/research support from: Janssen, Pfizer Inc, Roche and USB Bioscience, Heather Tory: None declared, Yosef Uziel Speakers bureau: Pfizer Inc, Diego O Viola Grant/research support from: Bristol-Myers Squibb, GSK, Janssen and Pfizer Inc, Speakers bureau: AbbVie and Bristol-Myers Squibb, Holly Posner Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Keith Kanik Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Ann Wouters Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Cheng Chang Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Richard Zhang Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Irina Lazariciu Consultant of: Pfizer Inc, Employee of: IQVIA, Ming-Ann Hsu Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Ricardo Suehiro Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Alberto Martini Consultant of: AbbVie, Eli Lily, EMD Serono, Janssen, Novartis, Pfizer, UCB, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis
Collapse
|
28
|
Quartier P, Feist E, Lovell DJ, Umebayashi H, Ruperto N, Brunner H, Dunger-Baldauf C, Noviello S, Whelan S. OP0292 HIGH EFFICACY OF CANAKINUMAB IN SYSTEMIC JUVENILE IDIOPATHIC ARTHRITIS (SJIA) ACROSS AGE GROUPS: COMPARISON OF CHILDREN, ADOLESCENTS AND YOUNG ADULTS BASED ON POOLED CLINICAL TRIAL RESULTS. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.3759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Still’s disease is a systemic auto-inflammatory disease with a pediatric form, sJIA, and an analogous condition in adults, adult-onset Still’s disease (AOSD). The role of interleukin-1 (IL-1) in the pathophysiology of Still’s disease is well established. Canakinumab, a monoclonal antibody against IL-1ß, is approved to treat patients with Still’s disease in Europe (sJIA and AOSD) and the United States (sJIA).Objectives:To study the efficacy of canakinumab in sJIA patients categorized by age, we performed an intention-to-treat analysis of pooled data from 5 clinical trials, as an addition to a previously communicated analysis including 3 of the studies1Methods:The age categories were children (2-<12 years), young adolescents (12-<16 years) and older adolescents and young adults (16-<20 years). We pooled efficacy results from patients with active disease at baseline treated during a 12-week period with canakinumab (4mg/kg every 4 weeks), including the presence of intermittent fever, serum concentrations of C reactive protein (CRP), improvement of sJIA (adapted pediatric ACR 30, 70 and 100 responses) and JIA ACR inactive disease status. Safety was assessed by analysis of reported adverse events (AEs).Results:302 children, 82 young adolescents and 34 older adolescents and young adults were included in the analysis, with a mean disease duration of 922, 1708 and 2615 days, respectively. Prior therapy with other biologics was common, with anakinra used in 33%, 35% and 47% of patients in each group. Disease severity was comparable among groups, with the mean number of active joints ranging from 11.8 to 13.7. Adapted pediatric ACR responses revealed a rapid response to canakinumab, with all groups showing similar rates of responders at most time points (Table 1). In each age group, the proportion of patients with inactive disease progressively increased to Day 57. At all time points after Day 15, the 16-<20 years group presented the highest proportion of patients with inactive disease. Median CRP levels decreased from baseline to reach values in the normal range (<10 mg/L) from Day 29 onwards in the three groups, with improvements more marked in the 16-<20 years group. The safety profile was similar in the three age groups analyzed, with a lower proportion of 16-<20 years old patients experiencing serious AEs (28%) as compared to children (35%) and young adolescents (42%).Table 1.Percentages of patients with Adapted pediatric ACR responses and inactive disease status over time*Time of treatment(Days)2 - <12 yearsa12 - <16 yearsb16-<20 yearscACR301572.781.783.9 (%)2977.584.182.45776.282.988.28565.574.583.3ACR701551.558.364.5 (%)2961.962.270.65765.258.579.48558.661.875.0ACR1001521.625.012.9 (%)2929.530.535.35736.134.138.28534.130.933.3Inactive disease1519.030.019.4 (%)2934.134.147.15739.436.655.98536.743.452.2*Some studies did not include visits at Day 15 and/or 85. For Day 15, 29, 57 and 85 the respective denominators for each age group were:aN = 231, 302, 302, 232;bN = 60, 82, 82, 55;cN = 31, 34, 34, 24.Conclusion:The efficacy and safety profile of canakinumab was consistent in children, adolescents and young adults with sJIA. Since sJIA and AOSD represent pediatric- and adult- onset variants of the Still’s disease continuum, these results further support the therapeutic effect of canakinumab 4 mg/kg every 4 weeks in both children and adults with Still’s disease.References:[1]Feist et al.Clin Exp Rheumatol.2018;36(4):668-75.Disclosure of Interests:Pierre Quartier Consultant of: AbbVie, Chugai-Roche, Lilly, Novartis, Sanofi, Sobi, Speakers bureau: AbbVie, BMS, Chugai-Roche, Novartis, Pfizer, Sobi, Eugen Feist Consultant of: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Speakers bureau: Novartis, Roche, Sobi, Lilly, Pfizer, Abbvie, BMS, MSD, Sanofi, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Hiroaki Umebayashi: None declared, Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Cornelia Dunger-Baldauf Employee of: Novartis, Stephanie Noviello Employee of: Novartis, sarah whelan Employee of: Novartis
Collapse
|
29
|
Brunner H, Tzaribachev N, Louw I, Calvo I, Zapata F, Horneff G, Foeldvari I, Kingsbury D, Gastanaga M, Wouters C, Breedt J, Wong R, Nys M, Askelson M, Zhuo J, Martini A, Lovell DJ, Ruperto N. THU0497 MAINTENANCE OF MINIMAL DISEASE ACTIVITY OR INACTIVE DISEASE STATUS AND PATIENT-REPORTED OUTCOMES IN INDIVIDUAL PAEDIATRIC PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS TREATED WITH SUBCUTANEOUS ABATACEPT. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Maintenance of clinical response over time has been shown in individual patients (pts) with polyarticular-course juvenile idiopathic arthritis (pJIA) treated with SC abatacept (ABA).1It is unknown whether each individual pt with sustained efficacy also consistently maintains the previously reported shorter-term benefits on patient-reported outcomes (PROs)2,3over time.Objectives:Investigate whether combined efficacy and stringent, optimal PRO responses to ABA treatment are maintained by individual pts with pJIA over time.Methods:In this analysis of the intent-to-treat population, pts in two age cohorts (2–5 and 6–17 yrs) who achieved clinical response to weekly SC ABA (10–<25 kg [50 mg], 25–<50 kg [87.5 mg], ≥50 kg [125 mg]) at Mo 4 (time point of primary pharmacokinetic endpoint4) were followed for 2 yrs. Stringent efficacy outcomes (Juvenile Arthritis Disease Activity Score 27 [JADAS27] minimal disease activity [MDA; ≤3.8] and inactive disease [ID; ≤1] status) were combined with optimal PRO endpoints (childhood [C]HAQ-DI=0, Parental Global Assessment [PaGA] ≤1 and Pain visual analogue scale [VAS] <35). Combined efficacy and PRO responses were analysed at Mos 4, 13 and 21.Results:219 pts entered the study (46 [21.0%] 2–5 yrs; 173 [79.0%] 6–17 yrs); a subgroup of these pts achieved a clinical response at Mo 4 (Table 1). Many pts who achieved JADAS27 MDA or JADAS27 ID combined with optimal PROs at Mo 4 sustained their response at Mo 13, and at both Mo 13 and Mo 21 in the 2–5-yr and 6–17-yr cohorts (Table 1). Across the cohorts, 33–88% of pts maintained a combined JADAS27 MDA with optimal PRO responses through Mo 21. Where estimable, median times to combined efficacy and specific optimal PRO responses were consistent across the cohorts (Table 2; Figs 1, 2).Table 1.Proportion of pts with combined efficacy and optimal PRO responses at Mos 4, 13 and 21EndpointResponders at Mo 4Responders at Mos 4 and 13*Responders at Mos 4, 13 and 21*2–5 yrs (n=46)6–17 yrs (n=173)2–5 yrs6–17 yrs2–5 yrs6–17 yrsJADAS27 MDA and CHAQ-DI=09 (20)34 (20)5/9 (56)25/34 (74)3/9 (33)16/34 (47)JADAS27 MDA and PaGA ≤18 (17)14 (8)8/8 (100)7/14 (50)7/8 (88)5/14 (36)JADAS27 MDA and Pain VAS <35 mm28 (61)70 (41)25/28 (89)58/70 (83)21/28 (75)43/70 (61)JADAS27 ID and CHAQ-DI=07 (15)20 (12)2/7 (29)13/20 (65)1/7 (14)9/20 (45)JADAS27 ID and PaGA ≤16 (13)10 (6)4/6 (67)4/10 (40)4/6 (67)4/10 (40)JADAS27 ID and Pain VAS <35 mm17 (37)31 (18)10/17 (59)22/31 (71)8/17 (47)17/31 (55)Data are n (%) or n/N (%). *% based on n of pts who achieved response at Mo 4 (denominator)Table 2.Kaplan–Meier estimates for median (95% CI) times (mos) to achieving combined efficacy and optimal PRO responsesEndpoint2–5 yrs6–17 yrsJADAS27 MDA and CHAQ-DI=021.5 (6.8, NE)21.5 (13.1, 24.4)JADAS27 MDA and PaGA ≤1NE (15.9, NE)24.6 (24.3, NE)JADAS27 MDA and Pain VAS <35 mm2.8 (1.9, 2.9)3.8 (3.7, 6.6)JADAS27 ID and CHAQ-DI=0NE (18.4, NE)24.4 (18.7, NE)JADAS27 ID and PaGA ≤1NE (21.3, NE)24.6 (24.3, NE)JADAS27 ID and Pain VAS <35 mm3.8 (3.8, 10.3)13.2 (10.3, 15.9)NE=not estimableConclusion:Many individuals with pJIA who achieved stringent efficacy and PRO measures with weekly SC abatacept by Mo 4 sustained them over 2 years. Time to achieve combined efficacy and Pain VAS <35 response was shorter than that for PaGA ≤1 and CHAQ-DI=0.References:[1]Ruperto N, et al.Ann Rheum Dis2019;78:99–100 (abstr OP0056)[2]Brunner H, et al.Arthritis Rheumatol2019;71(suppl 10):abstr 2707[3]Ruperto N, et al.Ann Rheum Dis2017;76:75 (abstr OP0058)[4]Brunner HI, et al.Arthritis Rheumatol2018;70:1144–54Acknowledgments:Katerina Kumpan, PhD, Caudex; funding: Bristol-Myers SquibbDisclosure of Interests: :Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Nikolay Tzaribachev: None declared, Ingrid Louw Consultant of: Amgen, Novartis, Pfizer, Roche (advisory boards), Inmaculada Calvo Grant/research support from: Bristol-Myers Squibb, Clementia, GlaxoSmithKline, Hoffman-La Roche, Merck Sharpe & Dohme, Novartis, Pfizer, Sanofi, Speakers bureau: AbbVie, GlaxoSmithKline, Hoffman-La Roche, Novartis, Francisco Zapata: None declared, Gerd Horneff Grant/research support from: AbbVie, Chugai, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Speakers bureau: AbbVie, Bayer, Chugai, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Ivan Foeldvari Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Novartis, Pfizer, Daniel Kingsbury: None declared, Maria Gastanaga Grant/research support from: Amgen, Bristol-Myers Squibb, GlaxoSmithKline, Novartis, Pfizer, Roche, Speakers bureau: AbbVie, Roche, Carine Wouters Grant/research support from: GlaxoSmithKline, Pfizer, Roche, Johannes Breedt: None declared, Robert Wong Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Marleen Nys Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Margarita Askelson Consultant of: Bristol-Myers Squibb, Joe Zhuo Shareholder of: Bristol-Myers Squibb, Employee of: Bristol-Myers Squibb, Alberto Martini Consultant of: AbbVie, Eli Lily, EMD Serono, Janssen, Novartis, Pfizer, UCB, Daniel J Lovell Consultant of: Abbott (consulting and PI), AbbVie (PI), Amgen (consultant and DSMC Chairperson), AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb (PI), Celgene, Forest Research (DSMB Chairman), GlaxoSmithKline, Hoffman-La Roche, Janssen (co-PI), Novartis (consultant and PI), Pfizer (consultant and PI), Roche (PI), Takeda, UBC (consultant and PI), Wyeth, Employee of: Cincinnati Children’s Hospital Medical Center, Speakers bureau: Wyeth, Nicolino Ruperto Grant/research support from: Bristol-Myers Squibb, Eli Lily, F Hoffmann-La Roche, GlaxoSmithKline, Janssen, Novartis, Pfizer, Sobi (paid to institution), Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda, Speakers bureau: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lily, EMD Serono, GlaxoSmithKline, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi, Takeda
Collapse
|
30
|
Ruperto N, Brunner H, Mori M, Clinch J, Syed R, Iwata N, Bass D, Ji B, Hammer A, Okily M, Eriksson G, Quasny H. THU0503 PLUTO TRIAL: SENSITIVITY ANALYSES OF SRI4 RESPONSE WITH BELIMUMAB VS PLACEBO IN PAEDIATRIC PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS (CSLE). Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.4441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Belimumab (BEL) is the first treatment approved in children ≥5 years of age with cSLE. This recent approval was based on favourable results of the PLUTO trial, evaluating efficacy and safety of intravenous (IV) BEL, plus standard SLE therapy (SST), vs placebo (PBO), in children with cSLE.1Objectives:To evaluate the SLE Responder Index 4 (SRI4) sensitivity of response for the comparison of BEL vs PBO at Week (Wk) 52.Methods:In PLUTO (NCT01649765; GSK study BEL114055), an ongoing Phase 2, randomised, PBO-controlled, double-blind study, patients (pts) 5–17 years of age with active cSLE were randomised to monthly BEL 10 mg/kg IV, or PBO, plus SST, for 52 weeks. The primary efficacy endpoint was the SRI4 response rate at Wk 52. Pre-specified sensitivity analyses supporting the primary efficacy endpoint for the intention-to-treat (ITT) population included unadjusted, last observation carried forward (LOCF), completer responses, and response using SLE Disease Activity Index (SLEDAI) 2K proteinuria scoring rule (4-point score for proteinuria >0.5 g/24 h), all at Wk 52. Completers were pts who completed 52 weeks of treatment. Any pts who withdrew or received protocol-prohibited medication or a dose of allowable medication that resulted in treatment failure prior to the Wk 52 visit had missing data handled using LOCF (missing values imputed using the last previous non-missing value). Statistics are descriptive.Results:Overall, 93 pts were randomised (BEL, n=53; PBO, n=40). Majority (94.6%) of pts were female, mean (standard deviation [SD]) age was 14.0 (2.49) years and mean (SD) disease duration was 2.4 (1.93) years. By Wk 52, numerically more BEL (52.8%) than PBO (43.6%) pts were SRI4 responders; difference vs PBO 9.24; odds ratio (OR; 95% confidence interval [CI]) vs PBO 1.49 (0.64, 3.46). For each sensitivity analysis (unadjusted, LOCF, completer, and SLEDAI 2K responses) the odds of being a responder at Wk 52 were higher for pts receiving BEL vs PBO (Table).Table.Sensitivity analyses: SRI4 response at Wk 52PBO(n=40)BEL(n=53)Unadjusted response (ITT), n*3953 n (%)17 (43.6)28 (52.8) Observed difference vs PBO9.24 OR (95% CI)†vs PBO1.45 (0.63, 3.33)LOCF response (ITT), n*3953 n (%)18 (46.2)30 (56.6) Observed difference vs PBO10.45 OR (95% CI)‡vs PBO1.51 (0.65, 3.52)Completer response (completers), n*3045 n (%)17 (56.7)27 (60.0) Observed difference vs PBO3.33 OR (95% CI)‡vs PBO1.16 (0.44, 3.09)Response using SLEDAI 2K (ITT), n*3953 n (%)17 (43.6)28 (52.8) Observed difference vs PBO9.24 OR (95% CI)‡vs PBO1.49 (0.64, 3.46)*One pt was excluded because they did not have a baseline Safety of Estrogens in Lupus National Assessment (SELENA)-SLEDAI assessment;†calculated from a logistic regression model for the comparison between BEL and PBO without adjustment for any covariates;‡calculated from a logistic regression model for the comparison between BEL and PBO with covariates treatment group, baseline age (5–11 years vs 12–17 years), and baseline SELENA-SLEDAI score (≤12 vs ≥13)Conclusion:The results of the SRI4 primary efficacy endpoint sensitivity analyses further support a favourable effect for BEL vs PBO.References:[1]Brunner HI,et al.Arthritis Rheumatol.2018;70(59): 3224–5, Abst. 2867Acknowledgments:We acknowledge all PLUTO investigators (PRINTO, PRCSG and otherwise affiliated). Study funding: GSK.Disclosure of Interests:Nicolino Ruperto Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Eli-Lilly, EMD Serono, GSK, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi and Takeda, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis, Masaaki Mori Grant/research support from: Abbvie Japan, Asahikasei Pharmaceutical, Ayumi Pharmaceutical, CSL Behring, Chugai Pharmaceutical, Japan Blood Products Organization, MSD K.K., Nippon Kayaku, UCB Japan, Consultant of: Daiichi Sankyo, Taisho Pharmaceutical, Jacqueline Clinch Consultant of: Alexion, Speakers bureau: Alexion, Reema Syed: None declared, Naomi Iwata Speakers bureau: Sanofi K.K, Damon Bass Shareholder of: GSK, Employee of: GSK, Beulah Ji Shareholder of: GSK, Employee of: GSK, Anne Hammer Shareholder of: GSK, Employee of: GSK, Mohamed Okily Shareholder of: GSK, Employee of: GSK, Gina Eriksson Shareholder of: GSK, Employee of: GSK, Holly Quasny Shareholder of: GSK, Employee of: GSK
Collapse
|
31
|
Ruperto N, Mccann L, Takei S, Pilkington C, Bass D, Ji B, Hammer A, Okily M, Eriksson G, Quasny H, Brunner H. SAT0505 PLUTO TRIAL OF INTRAVENOUS BELIMUMAB IN PAEDIATRIC PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS (cSLE): PATIENT RESPONSES OVER TIME. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.4460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Belimumab (BEL) is a human monoclonal antibody that specifically inhibits B-cell activating factor (BAFF). PLUTO is an ongoing trial evaluating efficacy and safety of intravenous (IV) BEL in children ≥5 years of age with cSLE. Efficacy, and safety endpoints of PLUTO have been reported;1briefly, numerically more BEL vs PBO pts met the primary and major secondary efficacy endpoints. We present patient (pt) response to BEL over time.Objectives:To evaluate changes in SLE Responder Index (SRI) 4 and SRI6 responses, and disease activity over 52 weeks, in paediatric pts receiving BEL, or placebo (PBO), plus standard SLE therapy (SST).Methods:PLUTO (GSK Study BEL114055,NCT01649765) is a Phase 2, randomised, double-blind, placebo-controlled study. Pts 5–17 years of age with active cSLE were randomised to monthly BEL 10 mg/kg IV, or PBO, plus SST. Endpoints assessed: SRI4 and SRI6 response rate, mean percentage and absolute change from baseline in Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLE Disease Activity Index (SLEDAI) and Physicians’ Global Assessment (PGA) scores, and percentage of pts with no new British Isles Lupus Assessment Group (BILAG) 1A/2B organ domain scores compared with baseline, all by study visit. The last-observation-carried-forward (LOCF) principle (missing values imputed using the last available non-missing value) was applied to pts who withdrew or received protocol-prohibited medication or a dose of allowable medication that resulted in treatment failure prior to the Week (Wk) 52 visit. Descriptive statistics were used.Results:A total of 93 pts (94.6% female, mean [SD] age 14.0 [2.49] years) were randomised for the intention-to-treat (ITT) population: 53 to BEL and 40 to PBO. Mean (SD) BEL and PBO baseline scores were 10.3 (3.34) and 10.4 (3.63) for SELENA-SLEDAI and 1.3 (0.43) and 1.4 (0.42) for PGA, respectively. Pt number with at least BILAG 1A/2B organ domain involvement at baseline was 37 (69.8%) for BEL and 29 (72.5%) for PBO. SRI4 and SRI6 responses over 52 weeks were mostly numerically higher with BEL than PBO; more BEL than PBO pts were SRI4 and SRI6 responders at Wk 52 (Figure 1). Unadjusted mean (SE) percentage changes from baseline over time in SELENA-SLEDAI and PGA scores generally favoured BEL over PBO, as did unadjusted mean (SE) absolute changes (Figure 2). Wk 52 adjusted mean (95% CI) percentage treatment difference vs PBO was -4.0% (-21.8, 13.9) for SELENA-SLEDAI and -6.1% (-23.9, 11.7) for PGA, while Wk 52 adjusted mean (95% CI) treatment difference vs PBO was -0.7 (-2.4, 1.1) for SELENA-SLEDAI and -0.1 (-0.3, 0.1) for PGA. Over the study duration, numerically more BEL than PBO pts had no new BILAG 1A/2B organ domain scores (Figure 2).Figure 1.SRI4 and SRI6 response by study visitFigure 2.SELENA-SLEDAI and PGA score mean percentage and absolute change from baseline, and no new BILAG 1A/2B organ domain scores compared with baseline, all by study visitConclusion:In line with the main analyses performed at Wk 52,1further analyses of responses over time in SRI4, SRI6 and disease activity generally favoured BEL over PBO. Combined, these results continue to support the efficacy profile of IV BEL in the treatment of children with cSLE.References:[1]Brunner HI,et al.Arthritis Rheumatol.2018;70(59): 3224–5, Abst. 2867Acknowledgments:We acknowledge all PLUTO investigators (PRINTO, PRCSG and otherwise affiliated). Study funding: GSK.Disclosure of Interests:Nicolino Ruperto Consultant of: Ablynx, AbbVie, AstraZeneca-Medimmune, Biogen, Boehringer, Bristol-Myers Squibb, Eli-Lilly, EMD Serono, GSK, Hoffmann-La Roche, Janssen, Merck, Novartis, Pfizer, R-Pharma, Sanofi, Servier, Sinergie, Sobi and Takeda, Liza McCann: None declared, Syuji Takei Grant/research support from: Eisai, Consultant of: Novartis, Bristol-Myers Squibb, Speakers bureau: GSK, Sanofi, Tanabe-Mitsubishi, Novartis, Chugai, Ono, Abbvie, Eli-Lilly, Bristol-Myers Squibb, Clarissa Pilkington: None declared, Damon Bass Shareholder of: GSK, Employee of: GSK, Beulah Ji Shareholder of: GSK, Employee of: GSK, Anne Hammer Shareholder of: GSK, Employee of: GSK, Mohamed Okily Shareholder of: GSK, Employee of: GSK, Gina Eriksson Shareholder of: GSK, Employee of: GSK, Holly Quasny Shareholder of: GSK, Employee of: GSK, Hermine Brunner Consultant of: Hoffman-La Roche, Novartis, Pfizer, Sanofi Aventis, Merck Serono, AbbVie, Amgen, Alter, AstraZeneca, Baxalta Biosimilars, Biogen Idec, Boehringer, Bristol-Myers Squibb, Celgene, EMD Serono, Janssen, MedImmune, Novartis, Pfizer, and UCB Biosciences, Speakers bureau: GSK, Roche, and Novartis
Collapse
|
32
|
van Rooij IALM, Ludwig KU, Welzenbach J, Ishorst N, Thonissen M, Galesloot TE, Ongkosuwito E, Bergé SJ, Aldhorae K, Rojas-Martinez A, Kiemeney LALM, Vermeesch JR, Brunner H, Roeleveld N, Devriendt K, Dormaar T, Hens G, Knapp M, Carels C, Mangold E. Non-Syndromic Cleft Lip with or without Cleft Palate: Genome-Wide Association Study in Europeans Identifies a Suggestive Risk Locus at 16p12.1 and Supports SH3PXD2A as a Clefting Susceptibility Gene. Genes (Basel) 2019; 10:genes10121023. [PMID: 31817908 PMCID: PMC6947597 DOI: 10.3390/genes10121023] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 01/16/2023] Open
Abstract
Non-syndromic cleft lip with or without cleft palate (nsCL/P) ranks among the most common human congenital malformations, and has a multifactorial background in which both exogenous and genetic risk factors act in concert. The present report describes a genome-wide association study (GWAS) involving a total of 285 nsCL/P patients and 1212 controls from the Netherlands and Belgium. Twenty of the 40 previously reported nsC/LP susceptibility loci were replicated, which underlined the validity of this sample. SNV-based analysis of the data identified an as yet unreported suggestive locus at chromosome 16p12.1 (p-value of the lead SNV: 4.17 × 10-7). This association was replicated in two of three patient/control replication series (Central European and Yemeni). Gene analysis of the GWAS data prioritized SH3PXD2A at chromosome 10q24.33 as a candidate gene for nsCL/P. To date, support for this gene as a cleft gene has been restricted to data from zebrafish and a knockout mouse model. The present GWAS was the first to implicate SH3PXD2A in non-syndromic cleft formation in humans. In summary, although performed in a relatively small sample, the present GWAS generated novel insights into nsCL/P etiology.
Collapse
Affiliation(s)
- Iris ALM van Rooij
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (I.A.v.R.); (T.E.G.); (L.A.K.); (N.R.)
| | - Kerstin U Ludwig
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany; (K.U.L.); (J.W.); (N.I.)
| | - Julia Welzenbach
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany; (K.U.L.); (J.W.); (N.I.)
| | - Nina Ishorst
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany; (K.U.L.); (J.W.); (N.I.)
| | - Michelle Thonissen
- Department of Dentistry, Radboud Institute for Health Sciences, Section of Orthodontics and Craniofacial Biology, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (M.T.); (E.O.)
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (I.A.v.R.); (T.E.G.); (L.A.K.); (N.R.)
| | - Edwin Ongkosuwito
- Department of Dentistry, Radboud Institute for Health Sciences, Section of Orthodontics and Craniofacial Biology, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (M.T.); (E.O.)
| | - Stefaan J Bergé
- Department of Oral and Maxillofacial Surgery, Radboud university medical center, 6500 HB Nijmegen, The Netherlands;
| | - Khalid Aldhorae
- Orthodontic Department, College of Dentistry, Thamar University, Thamar, Yemen;
| | - Augusto Rojas-Martinez
- Tecnologico de Monterrey, School of Medicine, and Universidad Autonoma de Nuevo Leon, Centro de Investigación y Desarrollo en Ciencias de la Salud, Monterrey 64460, Mexico;
| | - Lambertus ALM Kiemeney
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (I.A.v.R.); (T.E.G.); (L.A.K.); (N.R.)
- Department of Urology, Radboud Institute for Health Sciences, Radboud university medical center, 6500 HB Nijmegen, The Netherlands
| | | | - Han Brunner
- Department of Human Genetics, and Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, 6500 HB Nijmgen, The Netherlands;
- Department of Clinical Genetics, and GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Nel Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, 6500 HB Nijmegen, The Netherlands; (I.A.v.R.); (T.E.G.); (L.A.K.); (N.R.)
| | - Koen Devriendt
- Center for Human Genetics, University Hospitals Leuven, KU Leuven, 3000 Leuven, Belgium;
| | - Titiaan Dormaar
- Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium;
- Oral and Maxillofacial Surgery, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Greet Hens
- Department of Neurosciences, Experimental Otorhinolaryngology, KU Leuven, 3000 Leuven, Belgium;
| | - Michael Knapp
- Institute of Medical Biometry, Informatics and Epidemiology, University of Bonn, 53127 Bonn, Germany;
| | - Carine Carels
- Department of Human Genetics, KU Leuven, 3000 Leuven, Belgium (C.C.)
- Department of Human Genetics, and Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, 6500 HB Nijmgen, The Netherlands;
- Orthodontics, University Hospitals KU Leuven, 3000 Leuven, Belgium
| | - Elisabeth Mangold
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany; (K.U.L.); (J.W.); (N.I.)
- Correspondence: ; Tel.: +49-228-28751008
| |
Collapse
|
33
|
Srivastava S, Love-Nichols JA, Dies KA, Ledbetter DH, Martin CL, Chung WK, Firth HV, Frazier T, Hansen RL, Prock L, Brunner H, Hoang N, Scherer SW, Sahin M, Miller DT. Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders. Genet Med 2019; 21:2413-2421. [PMID: 31182824 PMCID: PMC6831729 DOI: 10.1038/s41436-019-0554-6] [Citation(s) in RCA: 317] [Impact Index Per Article: 63.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/15/2019] [Indexed: 12/15/2022] Open
Abstract
Purpose For neurodevelopmental disorders (NDDs), etiological evaluation can
be a diagnostic odyssey involving numerous genetic tests, underscoring the need
to develop a streamlined algorithm maximizing molecular diagnostic yield for
this clinical indication. Our objective was to compare the yield of exome
sequencing (ES) with that of chromosomal microarray (CMA), the current
first-tier test for NDDs. Methods We performed a PubMed scoping review and meta-analysis investigating
the diagnostic yield of ES for NDDs as the basis of a consensus development
conference. We defined NDD as global developmental delay, intellectual
disability, and/or autism spectrum disorder. The consensus development
conference included input from genetics professionals, pediatric neurologists,
and developmental behavioral pediatricians. Results After applying strict inclusion/exclusion criteria, we identified 30
articles with data on molecular diagnostic yield in individuals with isolated
NDD, or NDD plus associated conditions (such as Rett-like features). Yield of ES
was 36% overall, 31% for isolated NDD, and 53% for the NDD plus associated
conditions. ES yield for NDDs is markedly greater than previous studies of CMA
(15–20%). Conclusion Our review demonstrates that ES consistently outperforms CMA for
evaluation of unexplained NDDs. We propose a diagnostic algorithm placing ES at
the beginning of the evaluation of unexplained NDDs.
Collapse
Affiliation(s)
- Siddharth Srivastava
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jamie A Love-Nichols
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kira A Dies
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - David H Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, USA
| | - Christa L Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA.,SFARI, Simons Foundation, New York, NY, USA
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.,East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Robin L Hansen
- MIND Institute, Department of Pediatrics, University of California Davis, Sacramento, CA, USA
| | - Lisa Prock
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Developmental Medicine Center, Boston Children's Hospital, Boston, MA, USA
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,The Netherlands; Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Ny Hoang
- Department of Genetic Counselling, The Hospital for Sick Children, Toronto, ON, Canada.,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Stephen W Scherer
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.,The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada.,McLaughlin Centre and Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mustafa Sahin
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - David T Miller
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | | |
Collapse
|
34
|
Loges NT, Antony D, Maver A, Deardorff MA, Güleç EY, Gezdirici A, Nöthe-Menchen T, Höben IM, Jelten L, Frank D, Werner C, Tebbe J, Wu K, Goldmuntz E, Čuturilo G, Krock B, Ritter A, Hjeij R, Bakey Z, Pennekamp P, Dworniczak B, Brunner H, Peterlin B, Tanidir C, Olbrich H, Omran H, Schmidts M. Recessive DNAH9 Loss-of-Function Mutations Cause Laterality Defects and Subtle Respiratory Ciliary-Beating Defects. Am J Hum Genet 2018; 103:995-1008. [PMID: 30471718 PMCID: PMC6288205 DOI: 10.1016/j.ajhg.2018.10.020] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 10/23/2018] [Indexed: 11/29/2022] Open
Abstract
Dysfunction of motile monocilia, altering the leftward flow at the embryonic node essential for determination of left-right body asymmetry, is a major cause of laterality defects. Laterality defects are also often associated with reduced mucociliary clearance caused by defective multiple motile cilia of the airway and are responsible for destructive airway disease. Outer dynein arms (ODAs) are essential for ciliary beat generation, and human respiratory cilia contain different ODA heavy chains (HCs): the panaxonemally distributed γ-HC DNAH5, proximally located β-HC DNAH11 (defining ODA type 1), and the distally localized β-HC DNAH9 (defining ODA type 2). Here we report loss-of-function mutations in DNAH9 in five independent families causing situs abnormalities associated with subtle respiratory ciliary dysfunction. Consistent with the observed subtle respiratory phenotype, high-speed video microscopy demonstrates distally impaired ciliary bending in DNAH9 mutant respiratory cilia. DNAH9-deficient cilia also lack other ODA components such as DNAH5, DNAI1, and DNAI2 from the distal axonemal compartment, demonstrating an essential role of DNAH9 for distal axonemal assembly of ODAs type 2. Yeast two-hybrid and co-immunoprecipitation analyses indicate interaction of DNAH9 with the ODA components DNAH5 and DNAI2 as well as the ODA-docking complex component CCDC114. We further show that during ciliogenesis of respiratory cilia, first proximally located DNAH11 and then distally located DNAH9 is assembled in the axoneme. We propose that the β-HC paralogs DNAH9 and DNAH11 achieved specific functional roles for the distinct axonemal compartments during evolution with human DNAH9 function matching that of ancient β-HCs such as that of the unicellular Chlamydomonas reinhardtii.
Collapse
|
35
|
Klenk C, Brunner H, Nickel T, Sagmeister F, Infanger D, Billich C, Beer M, Schuetz U, Schmidt-Trucksaess A. P649Harmonic cardiac adaptation of myocardial structure and mass in the course of a multistage marathon over 4.486 km. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p649] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- C Klenk
- University of Basel, Department of Sport, Exercise and Health, Division of Sports and Exercise Medicine, Basel, Switzerland
| | - H Brunner
- University Hospital Ulm, Department of Diagnostic and Interventional Radiology, Ulm, Germany
| | - T Nickel
- University Hospital Grosshadern, Ludwig-Maximilians-University, Department of Internal Medicine/Cardiology, Munich, Germany
| | - F Sagmeister
- University Hospital Ulm, Department of Diagnostic and Interventional Radiology, Ulm, Germany
| | - D Infanger
- University of Basel, Department of Sport, Exercise and Health, Division of Sports and Exercise Medicine, Basel, Switzerland
| | - C Billich
- University Hospital Ulm, Department of Diagnostic and Interventional Radiology, Ulm, Germany
| | - M Beer
- University Hospital Ulm, Department of Diagnostic and Interventional Radiology, Ulm, Germany
| | - U Schuetz
- University Hospital Ulm, Department of Diagnostic and Interventional Radiology, Ulm, Germany
| | - A Schmidt-Trucksaess
- University of Basel, Department of Sport, Exercise and Health, Division of Sports and Exercise Medicine, Basel, Switzerland
| |
Collapse
|
36
|
Brunner H, Weißhaar G, Friebolin H, Baumann W, Mann H, Sieberth H, Opferkuch H. Isolation of Unusually Composed Sialyl-Compounds from Hemofiltrate. Int J Artif Organs 2018. [DOI: 10.1177/039139888901201204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Sialyl compounds are essential components of various biological fluids but relatively little is known about their occurrence in the extracellular fluid of patients with end-stage renal disease. As we have developed a macropreparative method for concentrating and desalting a wide range of fractions from diluted biological fluids we have been able to isolate and identify 5 sialooligosaccharides, 3 sialosugarphosphates, 2 monosialoglycopeptides and 1 disialoglycopeptide. The structures have been elucidated predominantly by one and two-dimensional NMR spectroscopy, enzymatic degradation and FAB mass spectrometry. The accumulation of these compounds in uremic sera may be of particular interest as they may interact in the molecular biology of diseases typically associated with the uremic state, e.g., immune deficiency, neurological disorders, receptor binding abnormalities, complement system disturbances and cell membrane alterations.
Collapse
Affiliation(s)
- H. Brunner
- Abteilung Innere Medizin II der RWTH Aachen, Heidelberg - FRG
| | - G. Weißhaar
- Organisch-Chem. Institut der Universität Heidelberg, Heidelberg - FRG
| | - H. Friebolin
- Organisch-Chem. Institut der Universität Heidelberg, Heidelberg - FRG
| | - W. Baumann
- Organisch-Chem. Institut der Universität Heidelberg, Heidelberg - FRG
| | - H. Mann
- Abteilung Innere Medizin II der RWTH Aachen, Heidelberg - FRG
| | - H.G. Sieberth
- Abteilung Innere Medizin II der RWTH Aachen, Heidelberg - FRG
| | - H.J. Opferkuch
- Zentrale Arbeitsgruppe Spektroskopie, Deutsches Krebsforschungszentrum, Heidelberg - FRG
| |
Collapse
|
37
|
Bartels RHMA, Kusters B, Brunner H, Hosman AJF, van Alfen N, Grotenhuis JA. Pathogenesis of Idiopathic Ventral Herniation of Spinal Cord: Neuropathologic Analysis. World Neurosurg 2018. [PMID: 29530682 DOI: 10.1016/j.wneu.2018.02.187] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Idiopathic ventral herniation of the spinal cord is rarely seen as a cause of gradually increasing neurologic deficit. Its cause has never been clarified. It could be the result of a developmental disorder at 30- to 60-day gestational age. Neuropathologic analysis of herniated spinal cord tissue could probably support this hypothesis. CASE DESCRIPTION In a patient suffering from idiopathic ventral herniation of the spinal cord, a biopsy was performed in order to reduce the space-occupying effect. The biopsy was taken while intraoperative neuromonitoring was used. The patient recovered uneventfully without any additional deficit. Tissue analysis included histopathologic, immunohistochemical, and molecular examination (methylation profiling). The tissue did not appear as a normally functioning spinal cord; instead, a non-neoplastic glio-(neuronal) proliferation was found. CONCLUSION These findings support a developmental disorder as a cause for idiopathic ventral spinal cord herniation.
Collapse
Affiliation(s)
- Ronald H M A Bartels
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Benno Kusters
- Department of Pathological Anatomy, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Allard J F Hosman
- Department of Orthopedic Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nens van Alfen
- Department of Neurology and Clinical Neurophysiology, Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J André Grotenhuis
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
38
|
Dudding-Byth T, Baxter A, Holliday EG, Hackett A, O'Donnell S, White SM, Attia J, Brunner H, de Vries B, Koolen D, Kleefstra T, Ratwatte S, Riveros C, Brain S, Lovell BC. Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability. BMC Biotechnol 2017; 17:90. [PMID: 29258477 PMCID: PMC5735520 DOI: 10.1186/s12896-017-0410-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 12/07/2017] [Indexed: 12/23/2022] Open
Abstract
Background Massively parallel genetic sequencing allows rapid testing of known intellectual disability (ID) genes. However, the discovery of novel syndromic ID genes requires molecular confirmation in at least a second or a cluster of individuals with an overlapping phenotype or similar facial gestalt. Using computer face-matching technology we report an automated approach to matching the faces of non-identical individuals with the same genetic syndrome within a database of 3681 images [1600 images of one of 10 genetic syndrome subgroups together with 2081 control images]. Using the leave-one-out method, two research questions were specified:Using two-dimensional (2D) photographs of individuals with one of 10 genetic syndromes within a database of images, did the technology correctly identify more than expected by chance: i) a top match? ii) at least one match within the top five matches? or iii) at least one in the top 10 with an individual from the same syndrome subgroup? Was there concordance between correct technology-based matches and whether two out of three clinical geneticists would have considered the diagnosis based on the image alone?
Results The computer face-matching technology correctly identifies a top match, at least one correct match in the top five and at least one in the top 10 more than expected by chance (P < 0.00001). There was low agreement between the technology and clinicians, with higher accuracy of the technology when results were discordant (P < 0.01) for all syndromes except Kabuki syndrome. Conclusions Although the accuracy of the computer face-matching technology was tested on images of individuals with known syndromic forms of intellectual disability, the results of this pilot study illustrate the potential utility of face-matching technology within deep phenotyping platforms to facilitate the interpretation of DNA sequencing data for individuals who remain undiagnosed despite testing the known developmental disorder genes. Electronic supplementary material The online version of this article (10.1186/s12896-017-0410-1) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Tracy Dudding-Byth
- Hunter Genetics, Hunter New England Health Service, Newcastle, NSW, Australia. .,GrowUpWell, Priority of Research Excellence, The University of Newcastle, Newcastle, NSW, Australia. .,Hunter Medical Research Institute, Newcastle, NSW, Australia. .,New South Wales Genetics of Learning Disability (GOLD) service, Hunter New England Health Service, Newcastle, NSW, 2298, Australia.
| | - Anne Baxter
- Hunter Genetics, Hunter New England Health Service, Newcastle, NSW, Australia
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, Newcastle, NSW, Australia.,The University of Newcastle, Newcastle, NSW, Australia
| | - Anna Hackett
- Hunter Genetics, Hunter New England Health Service, Newcastle, NSW, Australia.,The University of Newcastle, Newcastle, NSW, Australia.,New South Wales Genetics of Learning Disability (GOLD) service, Hunter New England Health Service, Newcastle, NSW, 2298, Australia
| | - Sheridan O'Donnell
- Hunter Genetics, Hunter New England Health Service, Newcastle, NSW, Australia
| | - Susan M White
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - John Attia
- Hunter Medical Research Institute, Newcastle, NSW, Australia.,The University of Newcastle, Newcastle, NSW, Australia
| | - Han Brunner
- Department of Human Genetics and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bert de Vries
- Department of Human Genetics and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - David Koolen
- Department of Human Genetics and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tjitske Kleefstra
- Department of Human Genetics and Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Seshika Ratwatte
- The University of Newcastle, Newcastle, NSW, Australia.,The Department of Medicine, John Hunter Hospital, Newcastle, NSW, Australia
| | - Carlos Riveros
- Hunter Medical Research Institute, Newcastle, NSW, Australia
| | | | - Brian C Lovell
- Imagus Technology, Brisbane, QLD, Australia.,School of ITEE, The University of Queensland, Brisbane, QLD, Australia
| |
Collapse
|
39
|
Brunner H. The annual meeting 1988–2017. Eur J Hum Genet 2017; 25:S35-S36. [DOI: 10.1038/ejhg.2017.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
|
40
|
Bartels RHMA, Brunner H, Hosman A, van Alfen N, Grotenhuis JA. The Pathogenesis of Ventral Idiopathic Herniation of the Spinal Cord: A Hypothesis Based on the Review of the Literature. Front Neurol 2017; 8:476. [PMID: 28955299 PMCID: PMC5601982 DOI: 10.3389/fneur.2017.00476] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Accepted: 08/28/2017] [Indexed: 12/29/2022] Open
Abstract
Idiopathic ventral herniation of the spinal cord (SC) is not often encountered in daily practice. Its clinical prevalence, however, will increase through increasing awareness and more frequent use of MRI. A clear explanation of its pathophysiology has never been formulated. It was hypothesized that the findings during surgery might indicate the real causative mechanism. An extensive literature search was performed, using Embase, PubMed, and Google Scholar. Titles and abstracts were screened by two investigators, using strict inclusion and exclusion criteria. Reference lists of the full paper versions of each included article were checked. The following data were registered for the articles included: age, gender, level of herniation, relation to intervertebral disk, duration of symptoms, findings from surgery, and outcomes. Nine cases treated at our department were added. A total of 117 articles reporting on 259 patients were included. Including our cases, 268 patients were reviewed. Females outnumbered males (160/100). The mean age was 51.3 ± 12.0 years. In 236 patients, the duration of symptoms was reported: 55.5 ± 55.6 months. In 178 patients, the intraoperative findings for the herniated part of the SC were not mentioned. In 59 patients, a tumor-like extrusion was seen, without any alteration to the SC. Deformation of the SC itself was never observed. Biopsies of these structures were without clinical consequence. Based on the intraoperative findings reported in literature and the cases presented, acquired causes, such as trauma and erosion of the dura due to a herniated disk, were not plausible. We hypothesize that a non-functioning appendix to the SC can only develop during an early embryologic phase, in which several layers separate. We propose renaming this entity as congenital transdural appendix of the SC.
Collapse
Affiliation(s)
- Ronald H M A Bartels
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, Netherlands
| | - Allard Hosman
- Department of Orthopedic Surgery, Radboud University Medical Center, Nijmegen, Netherlands
| | - Nens van Alfen
- Department of Neurology and Clinical Neurophysiology, Donders Center for Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - J André Grotenhuis
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, Netherlands
| |
Collapse
|
41
|
Boycott KM, Rath A, Chong JX, Hartley T, Alkuraya FS, Baynam G, Brookes AJ, Brudno M, Carracedo A, den Dunnen JT, Dyke SOM, Estivill X, Goldblatt J, Gonthier C, Groft SC, Gut I, Hamosh A, Hieter P, Höhn S, Hurles ME, Kaufmann P, Knoppers BM, Krischer JP, Macek M, Matthijs G, Olry A, Parker S, Paschall J, Philippakis AA, Rehm HL, Robinson PN, Sham PC, Stefanov R, Taruscio D, Unni D, Vanstone MR, Zhang F, Brunner H, Bamshad MJ, Lochmüller H. International Cooperation to Enable the Diagnosis of All Rare Genetic Diseases. Am J Hum Genet 2017; 100:695-705. [PMID: 28475856 PMCID: PMC5420351 DOI: 10.1016/j.ajhg.2017.04.003] [Citation(s) in RCA: 245] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Provision of a molecularly confirmed diagnosis in a timely manner for children and adults with rare genetic diseases shortens their "diagnostic odyssey," improves disease management, and fosters genetic counseling with respect to recurrence risks while assuring reproductive choices. In a general clinical genetics setting, the current diagnostic rate is approximately 50%, but for those who do not receive a molecular diagnosis after the initial genetics evaluation, that rate is much lower. Diagnostic success for these more challenging affected individuals depends to a large extent on progress in the discovery of genes associated with, and mechanisms underlying, rare diseases. Thus, continued research is required for moving toward a more complete catalog of disease-related genes and variants. The International Rare Diseases Research Consortium (IRDiRC) was established in 2011 to bring together researchers and organizations invested in rare disease research to develop a means of achieving molecular diagnosis for all rare diseases. Here, we review the current and future bottlenecks to gene discovery and suggest strategies for enabling progress in this regard. Each successful discovery will define potential diagnostic, preventive, and therapeutic opportunities for the corresponding rare disease, enabling precision medicine for this patient population.
Collapse
Affiliation(s)
- Kym M Boycott
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada.
| | - Ana Rath
- Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 75014 Paris, France
| | - Jessica X Chong
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - Fowzan S Alkuraya
- Department of Genetics, King Faisal Research Center, Riyadh 11211, Saudi Arabia; Saudi Human Genome Program, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia
| | - Gareth Baynam
- Genetic Services of Western Australia, Perth, WA 6008, Australia
| | - Anthony J Brookes
- Department of Genetics, University of Leicester, Leicester LE1 7RH, UK
| | - Michael Brudno
- Department of Computer Science, University of Toronto, Toronto M5S 1A1, Canada
| | - Angel Carracedo
- Genomic Medicine Group, Galician Foundation of Genomic Medicine and University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Johan T den Dunnen
- Departments of Human Genetics and Clinical Genetics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Stephanie O M Dyke
- Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC H3A 1A4, Canada
| | - Xavier Estivill
- Experimental Division, Sidra Medical and Research Center, PO Box 26999, Doha, Qatar; Genetics Unit, Dexeus Woman's Health, 08028 Barcelona, Spain
| | - Jack Goldblatt
- Genetic Services of Western Australia, Perth, WA 6008, Australia
| | - Catherine Gonthier
- Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 75014 Paris, France
| | - Stephen C Groft
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892-4874, USA
| | - Ivo Gut
- Centre Nacional d'Anàlisi Genòmica, Center for Genomic Regulation, Barcelona Institute of Science and Technology, Universitat Pompeu Fabra, 08028 Barcelona, Spain
| | - Ada Hamosh
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21286, USA
| | - Philip Hieter
- Michael Smith Laboratories, Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Sophie Höhn
- Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 75014 Paris, France
| | - Matthew E Hurles
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Petra Kaufmann
- Office of Rare Diseases Research, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD 20892-4874, USA
| | - Bartha M Knoppers
- Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC H3A 1A4, Canada
| | - Jeffrey P Krischer
- University of South Florida Health Informatics Institute, Tampa, FL 33620, USA
| | - Milan Macek
- Department of Biology and Medical Genetics, Second Faculty of Medicine, Charles University and University Hospital Motol, 150 06 Prague 5, Czech Republic
| | - Gert Matthijs
- Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium
| | - Annie Olry
- Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 75014 Paris, France
| | | | - Justin Paschall
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | | | - Heidi L Rehm
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Peter N Robinson
- Institut für Medizinische Genetik und Humangenetik, Charité Universitätsmdizin Berlin, 13353 Berlin, Germany; Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Pak-Chung Sham
- Centre for Genomic Sciences, University of Hong Kong, Hong Kong, China
| | - Rumen Stefanov
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv 4002, Bulgaria
| | - Domenica Taruscio
- National Centre for Rare Diseases, Istituto Superiore di Sanità, Rome 299-00161, Italy
| | - Divya Unni
- Orphanet, Institut National de la Santé et de la Recherche Médicale US14, 75014 Paris, France
| | - Megan R Vanstone
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON K1H 8L1, Canada
| | - Feng Zhang
- WuXi AppTec, Waigaoqiao Free Trade Zone, Shanghai 200131, China; WuXi NextCODE, Cambridge, MA 02142, USA
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands; Maastricht University Medical Center, Department of Clinical Genetics, 6229 GT Maastricht, the Netherlands
| | - Michael J Bamshad
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA; Division of Genetic Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Hanns Lochmüller
- John Walton Muscular Dystrophy Research Centre, MRC Centre for Neuromuscular Diseases, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK
| |
Collapse
|
42
|
|
43
|
Kavaklioglu T, Guadalupe T, Zwiers M, Marquand AF, Onnink M, Shumskaya E, Brunner H, Fernandez G, Fisher SE, Francks C. Structural asymmetries of the human cerebellum in relation to cerebral cortical asymmetries and handedness. Brain Struct Funct 2016; 222:1611-1623. [PMID: 27566607 PMCID: PMC5326706 DOI: 10.1007/s00429-016-1295-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 08/22/2016] [Indexed: 11/26/2022]
Abstract
There is evidence that the human cerebellum is involved not only in motor control but also in other cognitive functions. Several studies have shown that language-related activation is lateralized toward the right cerebellar hemisphere in most people, in accordance with leftward cerebral cortical lateralization for language and a general contralaterality of cerebral–cerebellar activations. In terms of behavior, hand use elicits asymmetrical activation in the cerebellum, while hand preference is weakly associated with language lateralization. However, it is not known how, or whether, these functional relations are reflected in anatomy. We investigated volumetric gray matter asymmetries of cerebellar lobules in an MRI data set comprising 2226 subjects. We tested these cerebellar asymmetries for associations with handedness, and for correlations with cerebral cortical anatomical asymmetries of regions important for language or hand motor control, as defined by two different automated image analysis methods and brain atlases, and supplemented with extensive visual quality control. No significant associations of cerebellar asymmetries to handedness were found. Some significant associations of cerebellar lobular asymmetries to cerebral cortical asymmetries were found, but none of these correlations were greater than 0.14, and they were mostly method-/atlas-dependent. On the basis of this large and highly powered study, we conclude that there is no overt structural manifestation of cerebellar functional lateralization and connectivity, in respect of hand motor control or language laterality.
Collapse
Affiliation(s)
- Tulya Kavaklioglu
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Tulio Guadalupe
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- International Max Planck Research School for Language Sciences, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Marcel Zwiers
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Andre F Marquand
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Neuroimaging, Center for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Marten Onnink
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Elena Shumskaya
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Han Brunner
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Guillen Fernandez
- Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, 6500, Nijmegen, The Netherlands
| | - Clyde Francks
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behavior, Radboud University, 6500, Nijmegen, The Netherlands.
| |
Collapse
|
44
|
Bolar N, Golzio C, Živná M, Hayot G, Van Hemelrijk C, Schepers D, Vandeweyer G, Hoischen A, Huyghe J, Raes A, Matthys E, Sys E, Azou M, Gubler MC, Praet M, Van Camp G, McFadden K, Pediaditakis I, Přistoupilová A, Hodaňová K, Vyleťal P, Hartmannová H, Stránecký V, Hůlková H, Barešová V, Jedličková I, Sovová J, Hnízda A, Kidd K, Bleyer A, Spong R, Vande Walle J, Mortier G, Brunner H, Van Laer L, Kmoch S, Katsanis N, Loeys B. Heterozygous Loss-of-Function SEC61A1 Mutations Cause Autosomal-Dominant Tubulo-Interstitial and Glomerulocystic Kidney Disease with Anemia. Am J Hum Genet 2016; 99:174-87. [PMID: 27392076 PMCID: PMC5005467 DOI: 10.1016/j.ajhg.2016.05.028] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 05/30/2016] [Indexed: 02/08/2023] Open
Abstract
Autosomal-dominant tubulo-interstitial kidney disease (ADTKD) encompasses a group of disorders characterized by renal tubular and interstitial abnormalities, leading to slow progressive loss of kidney function requiring dialysis and kidney transplantation. Mutations in UMOD, MUC1, and REN are responsible for many, but not all, cases of ADTKD. We report on two families with ADTKD and congenital anemia accompanied by either intrauterine growth retardation or neutropenia. Ultrasound and kidney biopsy revealed small dysplastic kidneys with cysts and tubular atrophy with secondary glomerular sclerosis, respectively. Exclusion of known ADTKD genes coupled with linkage analysis, whole-exome sequencing, and targeted re-sequencing identified heterozygous missense variants in SEC61A1-c.553A>G (p.Thr185Ala) and c.200T>G (p.Val67Gly)-both affecting functionally important and conserved residues in SEC61. Both transiently expressed SEC6A1A variants are delocalized to the Golgi, a finding confirmed in a renal biopsy from an affected individual. Suppression or CRISPR-mediated deletions of sec61al2 in zebrafish embryos induced convolution defects of the pronephric tubules but not the pronephric ducts, consistent with the tubular atrophy observed in the affected individuals. Human mRNA encoding either of the two pathogenic alleles failed to rescue this phenotype as opposed to a complete rescue by human wild-type mRNA. Taken together, these findings provide a mechanism by which mutations in SEC61A1 lead to an autosomal-dominant syndromic form of progressive chronic kidney disease. We highlight protein translocation defects across the endoplasmic reticulum membrane, the principal role of the SEC61 complex, as a contributory pathogenic mechanism for ADTKD.
Collapse
|
45
|
Mikdashi JA, Esdaile JM, Alarcón GS, Crofford L, Fessler BJ, Shanberg L, Brunner H, Gall V, Kalden JR, Lockshin MD, Liang MH, Roberts N, Schneider M. Proposed response criteria for neurocognitive impairment in systemic lupus erythematosus clinical trials. Lupus 2016; 16:418-25. [PMID: 17664232 DOI: 10.1177/0961203307079044] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The objective of this study was to identify reliable and valid instruments to measure cognitive impairment in systemic lupus erythematosus (SLE), and to define minimally important change of cognitive impairment in SLE for clinical trials. Neurocognitive measures used in randomized clinical trials in SLE were reviewed, and response criteria were developed using consensus expert opinion. The definition of cognitive impairment in the ACR nomenclature for neuropsychiatric lupus syndrome was adopted. Cognitive impairment is a deficit of 2.0 or more standard deviations (SD) below the mean, compared to normative data, in the key domains of attention, memory and psychomotor speed. Cognitive decline is defined as a deficit of 1.5—1.9 SD below the mean. Focal decline is defined if impairment exists in one or more measures within one domain, and multifocal decline if impairment exists on measures spanning two or more domains. The combination of ACR neuropsychological battery and the Cognitive Symptoms Inventory (CSI) is recommended to quantitate cognitive function. A clinically important response is defined as an improvement of ≥ 1.0 SD with an effect size of 1.0 in the key domains of the ACR neuropsychological testing, and an improvement of ≥ 1.0 SD with an effect size of 1.0 in functional performance of the CSI. Lupus (2007) 16, 418—425
Collapse
|
46
|
Stanescu-Siegmund N, Brunner H, Schmidt SA. [In Process Citation]. ROFO-FORTSCHR RONTG 2016; 188:497-8. [PMID: 27074428 DOI: 10.1055/s-0041-111847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
47
|
Iurian SI, Arts H, Brunner H, Fîntînă D. SINDROMUL BARDET-BIEDL – PREZENTARE DE CAZ. Ro J Pediatr 2015. [DOI: 10.37897/rjp.2015.3.24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Sindromul Bardet-Biedl (transmitere autozomal-recesivă) este caracterizat prin obezitate, degenerescenţă retiniană, polidactilie şi retard mental. Autorii prezintă demersul diagnostic la un sugar cu paratrofie, polidactilie şi hipogenitalism.
Collapse
|
48
|
Abstract
Bardet-Biedl syndrome (autosomal-recessive inheritance) is characterized by obesity, retinal dystrophy, polydactyly and mental retardation. The authors emphasize the necessary steps in order to establish the diagnosis for an infant with overweight, polydactyly and hypo-genitalism.
Collapse
|
49
|
Horneff G, Ruperto N, Brunner H, Quartier P, Constantin T, Alexeeva E, Kone-Paut I, Marzan K, Wulffraat N, Schneider R, Padeh S, Chasnyk V, Wouters C, Deschner JK, Kallinich T, Lauwerys B, Haddad E, Nasonov E, Trachana M, Vougiouka O, Abrams K, Leon K, Lheritier K, Martini A, Lovell D. Long term efficacy and safety of canakinumab in children with systemic juvenile idiopathic arthritis with and without fever. Pediatr Rheumatol Online J 2015. [PMCID: PMC4596972 DOI: 10.1186/1546-0096-13-s1-o83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
50
|
Snijders Blok L, Madsen E, Juusola J, Gilissen C, Baralle D, Reijnders M, Venselaar H, Helsmoortel C, Cho M, Hoischen A, Vissers LE, Koemans T, Wissink-Lindhout W, Eichler E, Romano C, Van Esch H, Stumpel C, Vreeburg M, Smeets E, Oberndorff K, van Bon B, Shaw M, Gecz J, Haan E, Bienek M, Jensen C, Loeys B, Van Dijck A, Innes A, Racher H, Vermeer S, Di Donato N, Rump A, Tatton-Brown K, Parker M, Henderson A, Lynch S, Fryer A, Ross A, Vasudevan P, Kini U, Newbury-Ecob R, Chandler K, Male A, Dijkstra S, Schieving J, Giltay J, van Gassen K, Schuurs-Hoeijmakers J, Tan P, Pediaditakis I, Haas S, Retterer K, Reed P, Monaghan K, Haverfield E, Natowicz M, Myers A, Kruer M, Stein Q, Strauss K, Brigatti K, Keating K, Burton B, Kim K, Charrow J, Norman J, Foster-Barber A, Kline A, Kimball A, Zackai E, Harr M, Fox J, McLaughlin J, Lindstrom K, Haude K, van Roozendaal K, Brunner H, Chung W, Kooy R, Pfundt R, Kalscheuer V, Mehta S, Katsanis N, Kleefstra T, Kleefstra T. Mutations in DDX3X Are a Common Cause of Unexplained Intellectual Disability with Gender-Specific Effects on Wnt Signaling. Am J Hum Genet 2015; 97:343-52. [PMID: 26235985 DOI: 10.1016/j.ajhg.2015.07.004] [Citation(s) in RCA: 176] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 07/13/2015] [Indexed: 12/22/2022] Open
Abstract
Intellectual disability (ID) affects approximately 1%-3% of humans with a gender bias toward males. Previous studies have identified mutations in more than 100 genes on the X chromosome in males with ID, but there is less evidence for de novo mutations on the X chromosome causing ID in females. In this study we present 35 unique deleterious de novo mutations in DDX3X identified by whole exome sequencing in 38 females with ID and various other features including hypotonia, movement disorders, behavior problems, corpus callosum hypoplasia, and epilepsy. Based on our findings, mutations in DDX3X are one of the more common causes of ID, accounting for 1%-3% of unexplained ID in females. Although no de novo DDX3X mutations were identified in males, we present three families with segregating missense mutations in DDX3X, suggestive of an X-linked recessive inheritance pattern. In these families, all males with the DDX3X variant had ID, whereas carrier females were unaffected. To explore the pathogenic mechanisms accounting for the differences in disease transmission and phenotype between affected females and affected males with DDX3X missense variants, we used canonical Wnt defects in zebrafish as a surrogate measure of DDX3X function in vivo. We demonstrate a consistent loss-of-function effect of all tested de novo mutations on the Wnt pathway, and we further show a differential effect by gender. The differential activity possibly reflects a dose-dependent effect of DDX3X expression in the context of functional mosaic females versus one-copy males, which reflects the complex biological nature of DDX3X mutations.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Tjitske Kleefstra
- Department of Human Genetics, Radboud University Medical Center, 6500 HB Nijmegen, the Netherlands.
| |
Collapse
|