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Your search keyword '"Sanchez, Gina A. Montealegre"' showing total 4 results
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4 results on '"Sanchez, Gina A. Montealegre"'

1. Autoantibodies Against Proteins Previously Associated With Autoimmunity in Adult and Pediatric Patients With COVID-19 and Children With MIS-C

Author

Burbelo, Peter D, Castagnoli, Riccardo, Shimizu, Chisato, Delmonte, Ottavia M, Dobbs, Kerry, Discepolo, Valentina, Vecchio, Andrea Lo, Guarino, Alfredo, Licciardi, Francesco, Ramenghi, Ugo, Rey-Jurado, Emma, Vial, Cecilia, Marseglia, Gian Luigi, Licari, Amelia, Montagna, Daniela, Rossi, Camillo, Sanchez, Gina A Montealegre, Barron, Karyl, Warner, Blake M, Chiorini, John A, Espinosa, Yazmin, Noguera, Loreani, Dropulic, Lesia, Truong, Meng, Gerstbacher, Dana, Mató, Sayonara, Kanegaye, John, Tremoulet, Adriana H, Group, Pediatric Emergency Medicine Kawasaki, Eisenstein, Eli M, Su, Helen C, Imberti, Luisa, Poli, Maria Cecilia, Burns, Jane C, Notarangelo, Luigi D, Cohen, Jeffrey I, Abe, Naomi, Bryl, Amy, Donofrio-Odmann, J Joelle, Ekpenyong, Atim, Gardiner, Michael, Gutglass, David J, Nguyen, Margaret B, and Ulrich, Stacey

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Immunization, Pediatric, Coronaviruses, Emerging Infectious Diseases, Coronaviruses Disparities and At-Risk Populations, Clinical Research, Autoimmune Disease, Infectious Diseases, Health Disparities, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Adaptor Proteins, Signal Transducing, Adenosine Triphosphatases, Adult, Autoantibodies, Autoantigens, Autoimmune Diseases, Autoimmunity, COVID-19, Child, Humans, Immunoglobulins, Intravenous, Lupus Erythematosus, Systemic, Ribonucleoproteins, Systemic Inflammatory Response Syndrome, autoantibodies, MIS-C multisystem inflammatory syndrome in children, IVIG, autoimmunity, Pediatric Emergency Medicine Kawasaki Group, Immunology, Medical Microbiology, Biochemistry and cell biology, Genetics
Abstract

The antibody profile against autoantigens previously associated with autoimmune diseases and other human proteins in patients with COVID-19 or multisystem inflammatory syndrome in children (MIS-C) remains poorly defined. Here we show that 30% of adults with COVID-19 had autoantibodies against the lung antigen KCNRG, and 34% had antibodies to the SLE-associated Smith-D3 protein. Children with COVID-19 rarely had autoantibodies; one of 59 children had GAD65 autoantibodies associated with acute onset of insulin-dependent diabetes. While autoantibodies associated with SLE/Sjögren's syndrome (Ro52, Ro60, and La) and/or autoimmune gastritis (gastric ATPase) were detected in 74% (40/54) of MIS-C patients, further analysis of these patients and of children with Kawasaki disease (KD), showed that the administration of intravenous immunoglobulin (IVIG) was largely responsible for detection of these autoantibodies in both groups of patients. Monitoring in vivo decay of the autoantibodies in MIS-C children showed that the IVIG-derived Ro52, Ro60, and La autoantibodies declined to undetectable levels by 45-60 days, but gastric ATPase autoantibodies declined more slowly requiring >100 days until undetectable. Further testing of IgG and/or IgA antibodies against a subset of potential targets identified by published autoantigen array studies of MIS-C failed to detect autoantibodies against most (16/18) of these proteins in patients with MIS-C who had not received IVIG. However, Troponin C2 and KLHL12 autoantibodies were detected in 2 of 20 and 1 of 20 patients with MIS-C, respectively. Overall, these results suggest that IVIG therapy may be a confounding factor in autoantibody measurements in MIS-C and that antibodies against antigens associated with autoimmune diseases or other human proteins are uncommon in MIS-C.

Published
2022

2. Immunopathological signatures in multisystem inflammatory syndrome in children and pediatric COVID-19

Author

Sacco, Keith, Castagnoli, Riccardo, Vakkilainen, Svetlana, Liu, Can, Delmonte, Ottavia M., Oguz, Cihan, Kaplan, Ian M., Alehashemi, Sara, Burbelo, Peter D., Bhuyan, Farzana, de Jesus, Adriana A., Dobbs, Kerry, Rosen, Lindsey B., Cheng, Aristine, Shaw, Elana, Vakkilainen, Mikko S., Pala, Francesca, Lack, Justin, Zhang, Yu, Fink, Danielle L, Oikonomou, Vasileios, Snow, Andrew L., Dalgard, Clifton L., Chen, Jinguo, Sellers, Brian A., Sanchez, Gina A. Montealegre, Barron, Karyl, Rey-Jurado, Emma, Vial, Cecilia, Poli, Maria Cecilia, Licari, Amelia, Montagna, Daniela, Marseglia, Gian Luigi, Licciardi, Francesco, Ramenghi, Ugo, Discepolo, Valentina, Vecchio, Andrea Lo, Guarino, Alfredo, Eisenstein, Eli M., Imberti, Luisa, Sottini, Alessandra, Biondi, Andrea, Mató, Sayonara, Gerstbacher, Dana, Truong, Meng, Stack, Michael A., Magliocco, Mary, Bosticardo, Marita, Kawai, Tomoki, Danielson, Jeffrey J., Hulett, Tyler, Askenazi, Manor, Hu, Shaohui, Cohen, Jeffrey I., Su, Helen C., Kuhns, Douglas B., Lionakis, Michail S., Snyder, Thomas M., Holland, Steven M., Goldbach-Mansky, Raphaela, Tsang, John S., Notarangelo, Luigi D., Department of Computer Science, Aalto-yliopisto, Aalto University, Sacco, Keith, Castagnoli, Riccardo, Vakkilainen, Svetlana, Liu, Can, Delmonte, Ottavia M, Oguz, Cihan, Kaplan, Ian M, Alehashemi, Sara, Burbelo, Peter D, Bhuyan, Farzana, de Jesus, Adriana A, Dobbs, Kerry, Rosen, Lindsey B, Cheng, Aristine, Shaw, Elana, Vakkilainen, Mikko S, Pala, Francesca, Lack, Justin, Zhang, Yu, Fink, Danielle L, Oikonomou, Vasileio, Snow, Andrew L, Dalgard, Clifton L, Chen, Jinguo, Sellers, Brian A, Montealegre Sanchez, Gina A, Barron, Karyl, Rey-Jurado, Emma, Vial, Cecilia, Poli, Maria Cecilia, Licari, Amelia, Montagna, Daniela, Marseglia, Gian Luigi, Licciardi, Francesco, Ramenghi, Ugo, Discepolo, Valentina, Lo Vecchio, Andrea, Guarino, Alfredo, Eisenstein, Eli M, Imberti, Luisa, Sottini, Alessandra, Biondi, Andrea, Mató, Sayonara, Gerstbacher, Dana, Truong, Meng, Stack, Michael A, Magliocco, Mary, Bosticardo, Marita, Kawai, Tomoki, Danielson, Jeffrey J, Hulett, Tyler, Askenazi, Manor, Hu, Shaohui, Cohen, Jeffrey I, Su, Helen C, Kuhns, Douglas B, Lionakis, Michail S, Snyder, Thomas M, Holland, Steven M, Goldbach-Mansky, Raphaela, Tsang, John S, and Notarangelo, Luigi D

Subjects
Child, Humans, SARS-CoV-2, Systemic Inflammatory Response Syndrome, T-Lymphocytes, COVID-19, SARS-CoV-2, COVID, MIS-C, Children, Immunology, Coronavirus, VACCINE, General Medicine, General Biochemistry, Genetics and Molecular Biology, DISEASE, Article, APOPTOSIS, REPERTOIRE, REVEALS, IL-33
Abstract

Transcriptomic, proteomic and immune repertoire profiling reveals distinct peripheral features of MIS-C and pediatric COVID-19, including elevated soluble spike protein levels, more pronounced type II IFN-dependent gene expression and a higher B cell mutation rate in patients with MIS-C. Pediatric Coronavirus Disease 2019 (pCOVID-19) is rarely severe; however, a minority of children infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) might develop multisystem inflammatory syndrome in children (MIS-C), with substantial morbidity. In this longitudinal multi-institutional study, we applied multi-omics (analysis of soluble biomarkers, proteomics, single-cell gene expression and immune repertoire analysis) to profile children with COVID-19 (n = 110) and MIS-C (n = 76), along with pediatric healthy controls (pHCs; n = 76). pCOVID-19 was characterized by robust type I interferon (IFN) responses, whereas prominent type II IFN-dependent and NF-kappa B-dependent signatures, matrisome activation and increased levels of circulating spike protein were detected in MIS-C, with no correlation with SARS-CoV-2 PCR status around the time of admission. Transient expansion of TRBV11-2 T cell clonotypes in MIS-C was associated with signatures of inflammation and T cell activation. The association of MIS-C with the combination of HLA A*02, B*35 and C*04 alleles suggests genetic susceptibility. MIS-C B cells showed higher mutation load than pCOVID-19 and pHC. These results identify distinct immunopathological signatures in pCOVID-19 and MIS-C that might help better define the pathophysiology of these disorders and guide therapy.

Published
2022

3. The 2021 European Alliance of Associations for Rheumatology/American College of Rheumatology points to consider for diagnosis and management of autoinflammatory type I interferonopathies: CANDLE/PRAAS, SAVI and AGS.

Author

Gedik, Kader Cetin, Lamot, Lovro, Romano, Micol, Demirkaya, Erkan, Piskin, David, Torreggiani, Sofia, Adang, Laura A., Armangue, Thais, Barchus, Kathe, Cordova, Devon R., Crow, Yanick J., Dale, Russell C., Durrant, Karen L., Eleftheriou, Despina, Fazzi, Elisa M., Gattorno, Marco, Gavazzi, Francesco, Hanson, Eric P., Lee-Kirsch, Min Ae, and Sanchez, Gina A. Montealegre

Subjects
FINGER abnormalities, NERVOUS system abnormalities, SKIN diseases, RESEARCH, NEUROLOGICAL disorders, ERYTHEMA nodosum, RHEUMATOLOGY, RESEARCH methodology, AUTOIMMUNE diseases, EVALUATION research, COMPARATIVE studies, QUALITY of life, RESEARCH funding
Abstract

Objective: Autoinflammatory type I interferonopathies, chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature/proteasome-associated autoinflammatory syndrome (CANDLE/PRAAS), stimulator of interferon genes (STING)-associated vasculopathy with onset in infancy (SAVI) and Aicardi-Goutières syndrome (AGS) are rare and clinically complex immunodysregulatory diseases. With emerging knowledge of genetic causes and targeted treatments, a Task Force was charged with the development of 'points to consider' to improve diagnosis, treatment and long-term monitoring of patients with these rare diseases.Methods: Members of a Task Force consisting of rheumatologists, neurologists, an immunologist, geneticists, patient advocates and an allied healthcare professional formulated research questions for a systematic literature review. Then, based on literature, Delphi questionnaires and consensus methodology, 'points to consider' to guide patient management were developed.Results: The Task Force devised consensus and evidence-based guidance of 4 overarching principles and 17 points to consider regarding the diagnosis, treatment and long-term monitoring of patients with the autoinflammatory interferonopathies, CANDLE/PRAAS, SAVI and AGS.Conclusion: These points to consider represent state-of-the-art knowledge to guide diagnostic evaluation, treatment and management of patients with CANDLE/PRAAS, SAVI and AGS and aim to standardise and improve care, quality of life and disease outcomes. [ABSTRACT FROM AUTHOR]

Published
2022
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4. Deep immune profiling uncovers novel associations with clinical phenotypes of Multisystem Inflammatory Syndrome in Children (MIS-C).

Author

Redmond C, Kitakule MM, Son A, Sylvester M, Sacco K, Delmonte O, Licciardi F, Castagnoli R, Poli C, Espinoza Y, Astudillo C, Weber SE, Sanchez GAM, Barron K, Magliocco M, Dobbs K, Zhang Y, Matthews H, Oguz C, Su HC, Notarangelo LD, Frischmeyer-Guerrerio PA, and Schwartz DM

Abstract

Multisystem Inflammatory Syndrome in Children (MIS-C) is a systemic inflammatory condition that follows SARS-CoV2 infection or exposure in children. Clinical presentations are highly variable and include fever, gastrointestinal (GI) disease, shock, and Kawasaki Disease-like illness (MIS-C/KD). Compared to patients with acute COVID, patients with MIS-C have a distinct immune signature and expansion of TRVB11 expressing T cells. However, the relationship between immunological and clinical phenotypes of MIS-C is unknown. Here, we measured serum biomarkers, TCR repertoire, and SARS-CoV2-specific T cell responses in a cohort of 76 MIS-C patients. Serum biomarkers associated with macrophage and Th1 activation were elevated in patients with shock, consistent with previous reports. Significantly increased SARS-CoV-2-induced IFN-γ, IL-2, and TNF-α production were seen in CD4 + T cells from patients with neurologic involvement and respiratory failure. Diarrhea was associated with a significant reduction in shock-associated serum biomarkers, suggesting a protective effect. TRVB11 usage was highly associated with MIS-C/KD and coronary aneurysms, suggesting a potential biomarker for these manifestations in MIS-C patients. By identifying novel immunologic associations with the different clinical phenotypes of MIS-C, this study provides insights into the clinical heterogeneity of MIS-C. These unique immunophenotypic associations could provide biomarkers to identify patients at risk for severe complications of MIS-C, including shock and MIS-C/KD.

Published
2022
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