Usage Information
Citation Information: J Clin Invest. 2020;130(1):507-522. https://doi.org/10.1172/JCI131116.
Abstract
X-linked immunodeficiency with magnesium defect, EBV infection, and neoplasia (XMEN) disease are caused by deficiency of the magnesium transporter 1 (MAGT1) gene. We studied 23 patients with XMEN, 8 of whom were EBV naive. We observed lymphadenopathy (LAD), cytopenias, liver disease, cavum septum pellucidum (CSP), and increased CD4–CD8–B220–TCRαβ+ T cells (αβDNTs), in addition to the previously described features of an inverted CD4/CD8 ratio, CD4+ T lymphocytopenia, increased B cells, dysgammaglobulinemia, and decreased expression of the natural killer group 2, member D (NKG2D) receptor. EBV-associated B cell malignancies occurred frequently in EBV-infected patients. We studied patients with XMEN and patients with autoimmune lymphoproliferative syndrome (ALPS) by deep immunophenotyping (32 immune markers) using time-of-flight mass cytometry (CyTOF). Our analysis revealed that the abundance of 2 populations of naive B cells (CD20+CD27–CD22+IgM+HLA-DR+CXCR5+CXCR4++CD10+CD38+ and CD20+CD27–CD22+IgM+HLA-DR+CXCR5+CXCR4+CD10–CD38–) could differentially classify XMEN, ALPS, and healthy individuals. We also performed glycoproteomics analysis on T lymphocytes and show that XMEN disease is a congenital disorder of glycosylation that affects a restricted subset of glycoproteins. Transfection of MAGT1 mRNA enabled us to rescue proteins with defective glycosylation. Together, these data provide new clinical and pathophysiological foundations with important ramifications for the diagnosis and treatment of XMEN disease.
Authors
Juan C. Ravell, Mami Matsuda-Lennikov, Samuel D. Chauvin, Juan Zou, Matthew Biancalana, Sally J. Deeb, Susan Price, Helen C. Su, Giulia Notarangelo, Ping Jiang, Aaron Morawski, Chrysi Kanellopoulou, Kyle Binder, Ratnadeep Mukherjee, James T. Anibal, Brian Sellers, Lixin Zheng, Tingyan He, Alex B. George, Stefania Pittaluga, Astin Powers, David E. Kleiner, Devika Kapuria, Marc Ghany, Sally Hunsberger, Jeffrey I. Cohen, Gulbu Uzel, Jenna Bergerson, Lynne Wolfe, Camilo Toro, William Gahl, Les R. Folio, Helen Matthews, Pam Angelus, Ivan K. Chinn, Jordan S. Orange, Claudia M. Trujillo-Vargas, Jose Luis Franco, Julio Orrego-Arango, Sebastian Gutiérrez-Hincapié, Niraj Chandrakant Patel, Kimiyo Raymond, Turkan Patiroglu, Ekrem Unal, Musa Karakukcu, Alexandre G.R. Day, Pankaj Mehta, Evan Masutani, Suk S. De Ravin, Harry L. Malech, Grégoire Altan-Bonnet, V. Koneti Rao, Matthias Mann, Michael J. Lenardo
Usage data is cumulative from November 2023 through November 2024.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,643 | 335 |
| 260 | 185 | |
| Figure | 525 | 37 |
| Table | 75 | 0 |
| Supplemental data | 150 | 43 |
| Citation downloads | 69 | 0 |
| Totals | 2,722 | 600 |
| Total Views | 3,322 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2024 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)