1
|
Bechi Genzano C, Bezzecchi E, Carnovale D, Mandelli A, Morotti E, Castorani V, Favalli V, Stabilini A, Insalaco V, Ragogna F, Codazzi V, Scotti GM, Del Rosso S, Mazzi BA, De Pellegrin M, Giustina A, Piemonti L, Bosi E, Battaglia M, Morelli MJ, Bonfanti R, Petrelli A. Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes. Front Immunol 2022; 13:1026416. [PMID: 36389771 PMCID: PMC9647173 DOI: 10.3389/fimmu.2022.1026416] [Citation(s) in RCA: 2] [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] [Received: 08/23/2022] [Accepted: 10/11/2022] [Indexed: 11/03/2023] Open
Abstract
An unbiased and replicable profiling of type 1 diabetes (T1D)-specific circulating immunome at disease onset has yet to be identified due to experimental and patient selection limitations. Multicolor flow cytometry was performed on whole blood from a pediatric cohort of 107 patients with new-onset T1D, 85 relatives of T1D patients with 0-1 islet autoantibodies (pre-T1D_LR), 58 patients with celiac disease or autoimmune thyroiditis (CD_THY) and 76 healthy controls (HC). Unsupervised clustering of flow cytometry data, validated by a semi-automated gating strategy, confirmed previous findings showing selective increase of naïve CD4 T cells and plasmacytoid DCs, and revealed a decrease in CD56brightNK cells in T1D. Furthermore, a non-selective decrease of CD3+CD56+ regulatory T cells was observed in T1D. The frequency of naïve CD4 T cells at disease onset was associated with partial remission, while it was found unaltered in the pre-symptomatic stages of the disease. Thanks to a broad cohort of pediatric individuals and the implementation of unbiased approaches for the analysis of flow cytometry data, here we determined the circulating immune fingerprint of newly diagnosed pediatric T1D and provide a reference dataset to be exploited for validation or discovery purposes to unravel the pathogenesis of T1D.
Collapse
Affiliation(s)
| | - Eugenia Bezzecchi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Center for Omics Sciences, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Debora Carnovale
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Elisa Morotti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Department of Pediatrics, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valeria Castorani
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valeria Favalli
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Department of Pediatrics, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Angela Stabilini
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Vittoria Insalaco
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Francesca Ragogna
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valentina Codazzi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Stefania Del Rosso
- Laboratory Medicine, Autoimmunity Section, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Benedetta Allegra Mazzi
- Immuno-Hematology and Transfusion Medicine (ITMS), IRCCS Ospedale San Raffaele, Milan, Italy
| | - Maurizio De Pellegrin
- Pediatric Orthopedic and Traumatology Unit, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Andrea Giustina
- Institute of Endocrine and Metabolic Sciences, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Lorenzo Piemonti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Emanuele Bosi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Department of General Medicine, Diabetes and Endocrinology, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Manuela Battaglia
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Marco J. Morelli
- Center for Omics Sciences, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Riccardo Bonfanti
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- Department of Pediatrics, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | | |
Collapse
|
2
|
Petrelli A, Giovenzana A, Insalaco V, Phillips BE, Pietropaolo M, Giannoukakis N. Autoimmune Inflammation and Insulin Resistance: Hallmarks So Far and Yet So Close to Explain Diabetes Endotypes. Curr Diab Rep 2021; 21:54. [PMID: 34902055 PMCID: PMC8668851 DOI: 10.1007/s11892-021-01430-3] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/03/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE OF REVIEW Diabetes mellitus can be categorized into two major variants, type 1 and type 2. A number of traits such as clinical phenotype, age at disease onset, genetic background, and underlying pathogenesis distinguish the two forms. RECENT FINDINGS Recent evidence indicates that type 1 diabetes can be accompanied by insulin resistance and type 2 diabetes exhibits self-reactivity. These two previously unknown conditions can influence the progression and outcome of the disease. Unlike most conventional considerations, diabetes appears to consist of a spectrum of intermediate phenotypes that includes monogenic and polygenic loci linked to inflammatory processes including autoimmunity, beta cell impairment, and insulin resistance. Here we discuss why a shift of the classical bi-modal view of diabetes (autoimmune vs. non-autoimmune) is necessary in favor of a model of an immunological continuum of endotypes lying between the two extreme "insulin-resistant" and "autoimmune beta cell targeting," shaped by environmental and genetic factors which contribute to determine specific immune-conditioned outcomes.
Collapse
Affiliation(s)
- Alessandra Petrelli
- grid.18887.3e0000000417581884San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Anna Giovenzana
- grid.18887.3e0000000417581884San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
- grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milan, Italy
| | - Vittoria Insalaco
- grid.18887.3e0000000417581884San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Brett E. Phillips
- grid.417046.00000 0004 0454 5075Institute of Cellular Therapeutics, Allegheny Health Network, Pittsburgh, PA USA
| | - Massimo Pietropaolo
- grid.39382.330000 0001 2160 926XDivision of Diabetes Endocrinology and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX USA
| | - Nick Giannoukakis
- grid.417046.00000 0004 0454 5075Institute of Cellular Therapeutics, Allegheny Health Network, Pittsburgh, PA USA
| |
Collapse
|