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Banner, Jytte

0000-0002-7559-1285

Mayo Clinic

University of Copenhagen

Citations 2

Immune checkpoint dysregulation in COVID-19 pathogenesis and disease severity.
Villalba, Julian A. , Shih, Angela , Alba, George A. , Loyola-Rodríguez, Georgina, Alcántara, Ismael Ramírez, Ferreira, Luíz Carlos de Lima , Stigliano, Egidio, Hirschbühl, Klaus , Argueta, Allan , Ackermann, Maximillian , Werlein, Christopher , Uribe‐Uribe, Norma , Vázquez-Benítez, Greissy, Tzankov, Alexandar , Stalder, Anna K. , Francesqui, Joel , Osborn, Michael , Hanley, Brian , Johnston, Robert, Lacy, J. Matthew , Marshall, Desiree A. , Schwensen, Hanna Ferløv , Okudela, Koji , Flikweert, Antine, Iles, Linda , d’Amati, Giulia , Träger, Lene Hoffmann , Çınar, Hüseyin, Aguiar, Diego , Dolhnokoff, Marisa, Chilosi, Marco , Salmon, I, Colville‐Ebeling, Bonnie, Poissy, Julien , Haahr, Martha Kirstine , Reyes, Fabiola, Parry, Blair A. , Garlin, Michelle, Hilburn, Caroline F., ELLIOTT, G. A., Rosas, Iván O. , Sade-Feldman, Moshe , Hacohen, Nir , Baden, Lindsey R. , Li, Jonathan Z. , Schaller, Tina , Gigli, L, Macciò, Umberto , Yick, David C.Y., Bruni, Barbara, Pernazza, Angelina , Mauad, Thaís , Dubini, Alessandra, Hartmann, Arndt, Remmelink, Myriam , Aviles, Alexis J., Barth, Jamie L., Boyraz, Bariş , Araujo-Medina, Milagros, Mendez-Pena, Javier E., Chebib, Ivan , Hung, Yin P. , Rosales, Ivy A. , Smith, Rex-Neal, Hung, Yin P , Tzankov, Alexandar , Li, Yijia , Poli, Sergio , Kunitoki, Keiko , Mehta, Arnav , Santana, Monique Freire , Lacerda, Marcus , Dell’Aquila, Marco , Arena, Vincenzo , Calabrese, Fiorella , Pezzuto, Federica , Märkl, Bruno , Lozano, Maria, Jonigk, Danny David , Pomara, Cristoforo , Salerno, Monica , Salas, Clara , Martínez, Daniel, Parra-Medina, Rafael Santiago , Bradley, Benjamin T. , Chen, Sonja , Varga, Zsuzsanna , Steinestel, Konrad , Harper, Holly , Aiolfi, Alberto , Scendoni, Roberto , Fabro, Alexandre Todorovic , Doglioni, Claudio , Rossi, Giulio , Poletti, Venerino , Herrmann, Martin , Pugh, Matthew , Yan, Lei , Gentili, Matteo , Garlin, Michelle A., Lo, Ying‐Chun , Elliott, Grant, Martínez, Leonardo , Stone, James R. , Colvin, Robert B. , Goldberg, Marcia B. , Filbin, Michael R. , Mino-Kenudson, Mari A. , Kröncke, Thomas J. , Gigli, Laura Álvarez, Sessa, Francesco , Caltabiano, Rosario , Menter, Thomas , Sellarés, Jacobo , Storgaard, Merete , Hamilton‐Dutoit, Stephen , Dannheim, Katelyn , Witte, Hanno Maximilian , Bona, Davide , Leth, Peter Mygind , Banner, Jytte , Batah, Sabrina Setembre , Silva, Luiz Fernando Ferraz da , Duarte‐Neto, Amaro Nunes , Saldiva, Paulo Hilário Nascimento , Munoz, Luis Enrique , Jensen, T. , Brøchner, Christian Beltoft , Gibier, Jean‐Baptiste , Gilbert, Andrea , Madrigal, Emilio , Ly, Amy , Hariri, Lida P. , Caldwell, Nicholas J

No container title available | October 2, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3508654/v1 Get It

Abstract Accumulating evidence suggests dysregulated immune checkpoint (IC) signaling can exacerbate COVID-19 severity, but the role of these molecules in the pathogenesis of fatal COVID-19-related diffuse alveolar damage (DAD) remains elusive. Understanding how IC proteins influence acute lung injury due to COVID-19 can provide insights into potential therapeutic strategies to modulate immune responses and improve patient outcomes. Here, in a single-center autopsy cohort, we determined the cellular localization of ICs in lung tissue from cases of fatal COVID-19, DAD-comparators, and non-fibrotic controls by using immunohistochemistry, and investigated their association with clinical outcomes. We expanded our findings by performing analyses of publicly available single-cell RNA sequencing datasets from patients with fatal COVID-19 and non-fibrotic controls. We demonstrated the presence of protein-protein interaction networks of ICs in the lung cellular niche by performing transcriptomic profiling of lung tissue-derived RNA counts from patients with fatal COVID-19. Further, we leveraged data from the largest international, multi-center COVID-19 autopsy cohort and validated that, among patients with fatal COVID-19, those with higher PD-L1/CD274 expression in lung endothelial cells had more rapid clinical deterioration. Lastly, in a cohort of individuals with early COVID-19, IC plasma protein levels were elevated in those with persistent SARS-CoV-2 RNAemia and adverse clinical outcomes. Collectively, our data provide unique pathological insights into the role of IC dysregulation and differential disease severity in COVID-19.
Risk of Sudden Infant Death Syndrome Among Siblings of Children Who Died of Sudden Infant Death Syndrome in Denmark
Glinge, Charlotte , Rossetti, Sára , Oestergaard, L , Stampe, Niels Kjær , Skals, Regitze Gyldenholm , Lodder, Elisabeth M. , Gislason, Gunnar , Behr, Elijah R. , Jabbari, Reza , Tfelt‐Hansen, Jacob , Behr, Elijah Raphael , Tfelt-Hansen, Jacob , Lynge, Thomas Hadberg , Winkel, Bo Gregers , Bezzina, Connie R. , Banner, Jytte , Torp-Pedersen, Christian Tobias

JAMA Network Open | January 25, 2023 | Volume: 6 | Issue: 1 | Pages: e2252724

10.1001/jamanetworkopen.2022.52724 Get It

Importance Sudden infant death syndrome (SIDS) remains a leading cause of death during the first year of life. The etiology of SIDS is complex and remains largely unknown. Objective To evaluate whether siblings of children who died of SIDS have a higher risk of SIDS compared with the general pediatric population. Design, Setting, and Participants This register-based cohort study used Danish nationwide registers. Participants were all infants (<1 year) in Denmark between January 1, 1978, and December 31, 2016, including siblings of children who died of SIDS. Siblings were followed up from the index cases’ date of SIDS, date of birth, or immigration, whichever came first, and until age 1 year, emigration, developing SIDS, death, or study end. The median (IQR) follow-up was 1 (1-1) year. Data analysis was conducted from January 2017 to October 2022. Main Outcomes and Measures Standardized incidence ratios (SIRs) of SIDS were calculated with Poisson regression models relative to the general population. Results In a population of 2 666 834 consecutive births (1 395 199 [52%] male), 1540 infants died of SIDS (median [IQR] age at SIDS, 3 [2-4] months) during a 39-year study period. A total of 2384 younger siblings (cases) to index cases (first sibling with SIDS) were identified. A higher rate of SIDS was observed among siblings compared with the general population, with SIRs of 4.27 (95% CI, 2.13-8.53) after adjustment for sex, age, and calendar year and of 3.50 (95% CI, 1.75-7.01) after further adjustment for mother’s age (<29 years vs ≥29 years) and education (high school vs after high school). Conclusions and Relevance In this nationwide study, having a sibling who died of SIDS was associated with a 4-fold higher risk of SIDS compared with the general population. Shared genetic and/or environmental factors may contribute to the observed clustering of SIDS. The family history of SIDS should be considered when assessing SIDS risk in clinical settings. A multidisciplinary genetic evaluation of families with SIDS could provide additional evidence.