TY - JOUR A1 - El-Helou, Sabine M. A1 - Biegner, Anika-Kerstin A1 - Bode, Sebastian A1 - Ehl, Stephan R. A1 - Heeg, Maximilian A1 - Maccari, Maria E. A1 - Ritterbusch, Henrike A1 - Speckmann, Carsten A1 - Rusch, Stephan A1 - Scheible, Raphael A1 - Warnatz, Klaus A1 - Atschekzei, Faranaz A1 - Beider, Renata A1 - Ernst, Diana A1 - Gerschmann, Stev A1 - Jablonka, Alexandra A1 - Mielke, Gudrun A1 - Schmidt, Reinhold E. A1 - Schürmann, Gesine A1 - Sogkas, Georgios A1 - Baumann, Ulrich H. A1 - Klemann, Christian A1 - Viemann, Dorothee A1 - Bernuth, Horst von A1 - Krüger, Renate A1 - Hanitsch, Leif G. A1 - Scheibenbogen, Carmen M. A1 - Wittke, Kirsten A1 - Albert, Michael H. A1 - Eichinger, Anna A1 - Hauck, Fabian A1 - Klein, Christoph A1 - Rack-Hoch, Anita A1 - Sollinger, Franz M. A1 - Avila, Anne A1 - Borte, Michael A1 - Borte, Stephan A1 - Fasshauer, Maria A1 - Hauenherm, Anja A1 - Kellner, Nils A1 - Müller, Anna H. A1 - Ülzen, Anett A1 - Bader, Peter A1 - Bakhtiar, Shahrzad A1 - Lee, Jae-Yun A1 - Heß, Ursula A1 - Schubert, Ralf A1 - Wölke, Sandra A1 - Zielen, Stefan A1 - Ghosh, Sujal A1 - Laws, Hans-Juergen A1 - Neubert, Jennifer A1 - Oommen, Prasad T. A1 - Hönig, Manfred A1 - Schulz, Ansgar A1 - Steinmann, Sandra A1 - Klaus, Schwarz A1 - Dückers, Gregor A1 - Lamers, Beate A1 - Langemeyer, Vanessa A1 - Niehues, Tim A1 - Shai, Sonu A1 - Graf, Dagmar A1 - Müglich, Carmen A1 - Schmalzing, Marc T. A1 - Schwaneck, Eva C. A1 - Tony, Hans-Peter A1 - Dirks, Johannes A1 - Haase, Gabriele A1 - Liese, Johannes G. A1 - Morbach, Henner A1 - Foell, Dirk A1 - Hellige, Antje A1 - Wittkowski, Helmut A1 - Masjosthusmann, Katja A1 - Mohr, Michael A1 - Geberzahn, Linda A1 - Hedrich, Christian M. A1 - Müller, Christiane A1 - Rösen-Wolff, Angela A1 - Roesler, Joachim A1 - Zimmermann, Antje A1 - Behrends, Uta A1 - Rieber, Nikolaus A1 - Schauer, Uwe A1 - Handgretinger, Rupert A1 - Holzer, Ursula A1 - Henes, Jörg A1 - Kanz, Lothar A1 - Boesecke, Christoph A1 - Rockstroh, Jürgen K. A1 - Schwarze-Zander, Carolynne A1 - Wasmuth, Jan-Christian A1 - Dilloo, Dagmar A1 - Hülsmann, Brigitte A1 - Schönberger, Stefan A1 - Schreiber, Stefan A1 - Zeuner, Rainald A1 - Ankermann, Tobias A1 - Bismarck, Philipp von A1 - Huppertz, Hans-Iko A1 - Kaiser-Labusch, Petra A1 - Greil, Johann A1 - Jakoby, Donate A1 - Kulozik, Andreas E. A1 - Metzler, Markus A1 - Naumann-Bartsch, Nora A1 - Sobik, Bettina A1 - Graf, Norbert A1 - Heine, Sabine A1 - Kobbe, Robin A1 - Lehmberg, Kai A1 - Müller, Ingo A1 - Herrmann, Friedrich A1 - Horneff, Gerd A1 - Klein, Ariane A1 - Peitz, Joachim A1 - Schmidt, Nadine A1 - Bielack, Stefan A1 - Groß-Wieltsch, Ute A1 - Classen, Carl F. A1 - Klasen, Jessica A1 - Deutz, Peter A1 - Kamitz, Dirk A1 - Lassy, Lisa A1 - Tenbrock, Klaus A1 - Wagner, Norbert A1 - Bernbeck, Benedikt A1 - Brummel, Bastian A1 - Lara-Villacanas, Eusebia A1 - Münstermann, Esther A1 - Schneider, Dominik T. A1 - Tietsch, Nadine A1 - Westkemper, Marco A1 - Weiß, Michael A1 - Kramm, Christof A1 - Kühnle, Ingrid A1 - Kullmann, Silke A1 - Girschick, Hermann A1 - Specker, Christof A1 - Vinnemeier-Laubenthal, Elisabeth A1 - Haenicke, Henriette A1 - Schulz, Claudia A1 - Schweigerer, Lothar A1 - Müller, Thomas G. A1 - Stiefel, Martina A1 - Belohradsky, Bernd H. A1 - Soetedjo, Veronika A1 - Kindle, Gerhard A1 - Grimbacher, Bodo T1 - The German national registry of primary immunodeficiencies (2012-2017) JF - Frontiers in Immunology N2 - Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1-25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0-88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE-syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%-subcutaneous; 29%-intravenous; 1%-unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment. KW - registry for primary immunodeficiency KW - primary immunodeficiency (PID) KW - German PID-NET registry KW - PID prevalence KW - European Society for Immunodeficiencies (ESID) KW - IgG substitution therapy KW - CVID Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-226629 VL - 10 ER - TY - JOUR A1 - Hofmann, Sigrun Ruth A1 - Böttger, Fanny A1 - Range, Ursula A1 - Lück, Christian A1 - Morbach, Henner A1 - Girschick, Hermann Joseph A1 - Suttorp, Meinolf A1 - Hedrich, Christian Michael T1 - Serum interleukin-6 and CCL11/eotaxin may be suitable biomarkers for the diagnosis of chronic nonbacterial osteomyelitis JF - Frontiers in Pediatrics N2 - Objectives: Chronic recurrent multifocal osteomyelitis (CRMO), the most severe form of chronic nonbacterial osteomyelitis (CNO), is an autoinflammatory bone disorder. In the absence of diagnostic criteria or biomarkers, CNO/CRMO remains a diagnosis of exclusion. The aim of this study was to identify biomarkers for diagnosing multifocal disease (CRMO). Study design: Sera from 71 pediatric CRMO patients, 11 patients with osteoarticular infections, 62 patients with juvenile idiopathic arthritis (JIA), 7 patients with para-infectious or reactive arthritis, and 43 patients with acute leukemia or lymphoma, as well as 59 healthy individuals were collected. Multiplex analysis of 18 inflammation- and/or bone remodeling-associated serum proteins was performed. Statistical analysis included univariate ANOVA, discriminant analysis, univariate receiver operating characteristic (ROC) analysis, and logistic regression analyses. Results: For 14 of 18 blood serum proteins, significant differences were determined between CRMO patients, at least one alternative diagnosis, or healthy controls. Multi-component discriminant analysis delivered five biomarkers (IL-6, CCL11/eotaxin, CCL5/RANTES, collagen Iα, sIL-2R) for the diagnosis of CRMO. ROC analysis allowed further reduction to a core set of 2 biomarkers (CCL11/eotaxin, IL-6) that are sufficient to discern between CRMO, healthy controls, and alternative diagnoses. Conclusion: Serum biomarkers CCL11/eotaxin and IL-6 differentiate between patients with CRMO, healthy controls, and alternative diagnoses (leukemia and lymphoma, osteoarticular infections, para-infectious arthritis, and JIA). Easily accessible biomarkers may aid in diagnosing CRMO. Further studies testing biomarkers in larger unrelated cohorts are warranted. KW - medicine KW - chronic nonbacterial osteomyelitis KW - chronic recurrent multifocal osteomyelitis KW - inflammation KW - biomarker KW - autoinflammation KW - diagnosis Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-172744 VL - 5 ER - TY - JOUR A1 - Bazihizina, Nadia A1 - Böhm, Jennifer A1 - Messerer, Maxim A1 - Stigloher, Christian A1 - Müller, Heike M. A1 - Cuin, Tracey Ann A1 - Maierhofer, Tobias A1 - Cabot, Joan A1 - Mayer, Klaus F. X. A1 - Fella, Christian A1 - Huang, Shouguang A1 - Al‐Rasheid, Khaled A. S. A1 - Alquraishi, Saleh A1 - Breadmore, Michael A1 - Mancuso, Stefano A1 - Shabala, Sergey A1 - Ache, Peter A1 - Zhang, Heng A1 - Zhu, Jian‐Kang A1 - Hedrich, Rainer A1 - Scherzer, Sönke T1 - Stalk cell polar ion transport provide for bladder‐based salinity tolerance in Chenopodium quinoa JF - New Phytologist N2 - Chenopodium quinoa uses epidermal bladder cells (EBCs) to sequester excess salt. Each EBC complex consists of a leaf epidermal cell, a stalk cell, and the bladder. Under salt stress, sodium (Na\(^{+}\)), chloride (Cl\(^{−}\)), potassium (K\(^{+}\)) and various metabolites are shuttled from the leaf lamina to the bladders. Stalk cells operate as both a selectivity filter and a flux controller. In line with the nature of a transfer cell, advanced transmission electron tomography, electrophysiology, and fluorescent tracer flux studies revealed the stalk cell’s polar organization and bladder‐directed solute flow. RNA sequencing and cluster analysis revealed the gene expression profiles of the stalk cells. Among the stalk cell enriched genes, ion channels and carriers as well as sugar transporters were most pronounced. Based on their electrophysiological fingerprint and thermodynamic considerations, a model for stalk cell transcellular transport was derived. KW - halophyte KW - polar ion transport KW - quinoa KW - salt tolerance KW - stalk cell Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-287222 VL - 235 IS - 5 SP - 1822 EP - 1835 ER -