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1.
medrxiv; 2024.
Preprint en Inglés | medRxiv | ID: ppzbmed-10.1101.2024.03.18.24304401

RESUMEN

COVID-19 has been a significant public health concern for the last four years; however, little is known about the mechanisms that lead to severe COVID-associated kidney injury. In this multicenter study, we combined quantitative deep urinary proteomics and machine learning to predict severe acute outcomes in hospitalized COVID-19 patients. Using a 10-fold cross-validated random forest algorithm, we identified a set of urinary proteins that demonstrated predictive power for both discovery and validation set with 87% and 79% accuracy, respectively. These predictive urinary biomarkers were recapitulated in non-COVID acute kidney injury revealing overlapping injury mechanisms. We further combined orthogonal multiomics datasets to understand the mechanisms that drive severe COVID-associated kidney injury. Functional overlap and network analysis of urinary proteomics, plasma proteomics and urine sediment single-cell RNA sequencing showed that extracellular matrix and autophagy-associated pathways were uniquely impacted in severe COVID-19. Differentially abundant proteins associated with these pathways exhibited high expression in cells in the juxtamedullary nephron, endothelial cells, and podocytes, indicating that these kidney cell types could be potential targets. Further, single-cell transcriptomic analysis of kidney organoids infected with SARS-CoV-2 revealed dysregulation of extracellular matrix organization in multiple nephron segments, recapitulating the clinically observed fibrotic response across multiomics datasets. Ligand-receptor interaction analysis of the podocyte and tubule organoid clusters showed significant reduction and loss of interaction between integrins and basement membrane receptors in the infected kidney organoids. Collectively, these data suggest that extracellular matrix degradation and adhesion-associated mechanisms could be a main driver of COVID-associated kidney injury and severe outcomes.


Asunto(s)
COVID-19 , Enfermedades Renales , Lesión Renal Aguda
3.
Leora I. Horwitz; Tanayott Thaweethai; Shari B. Brosnahan; Mine S. Cicek; Megan L. Fitzgerald; Jason D. Goldman; Rachel Hess; S. L. Hodder; Vanessa L. Jacoby; Michael R. Jordan; Jerry A. Krishnan; Adeyinka O. Laiyemo; Torri D. Metz; Lauren Nichols; Rachel E. Patzer; Anisha Sekar; Nora G. Singer; Lauren E. Stiles; Barbara S. Taylor; Shifa Ahmed; Heather A. Algren; Khamal Anglin; Lisa Aponte-Soto; Hassan Ashktorab; Ingrid V. Bassett; Brahmchetna Bedi; Nahid Bhadelia; Christian Bime; Marie-Abele C. Bind; Lora J. Black; Andra L. Blomkalns; Hassan Brim; Mario Castro; James Chan; Alexander W. Charney; Benjamin K. Chen; Li Qing Chen; Peter Chen; David Chestek; Lori B. Chibnik; Dominic C. Chow; Helen Y. Chu; Rebecca G. Clifton; Shelby Collins; Maged M. Costantine; Sushma K. Cribbs; Steven G. Deeks; John D. Dickinson; Sarah E. Donohue; Matthew S. Durstenfeld; Ivette F. Emery; Kristine M. Erlandson; Julio C. Facelli; Rachael Farah-Abraham; Aloke V. Finn; Melinda S. Fischer; Valerie J. Flaherman; Judes Fleurimont; Vivian Fonseca; Emily J. Gallagher; Jennifer C. Gander; Maria Laura Gennaro; Kelly S. Gibson; Minjoung Go; Steven N. Goodman; Joey P. Granger; Frank L. Greenway; John W. Hafner; Jenny E. Han; Michelle S. Harkins; Kristine S.P. Hauser; James R. Heath; Carla R. Hernandez; On Ho; Matthew K. Hoffman; Susan E. Hoover; Carol R. Horowitz; Harvey Hsu; Priscilla Y. Hsue; Brenna L. Hughes; Prasanna Jagannathan; Judith A. James; Janice John; Sarah Jolley; S. E. Judd; Joy J. Juskowich; Diane G. Kanjilal; Elizabeth W. Karlson; Stuart D. Katz; J. Daniel Kelly; Sara W. Kelly; Arthur Y. Kim; John P. Kirwan; Kenneth S. Knox; Andre Kumar; Michelle F. Lamendola-Essel; Margaret Lanca; Joyce K. Lee-lannotti; R. Craig Lefebvre; Bruce D. Levy; Janet Y. Lin; Brian P. Logarbo Jr.; Jennifer K. Logue; Michele T. Longo; Carlos A. Luciano; Karen Lutrick; Shahdi K. Malakooti; Gail Mallett; Gabrielle Maranga; Jai G. Marathe; Vincent C. Marconi; Gailen D. Marshall; Christopher F. Martin; Jeffrey N. Martin; Heidi T. May; Grace A. McComsey; Dylan McDonald; Hector Mendez-Figueroa; Lucio Miele; Murray A. Mittleman; Sindhu Mohandas; Christian Mouchati; Janet M. Mullington; Girish N Nadkarni; Erica R. Nahin; Robert B. Neuman; Lisa T. Newman; Amber Nguyen; Janko Z. Nikolich; Igho Ofotokun; Princess U. Ogbogu; Anna Palatnik; Kristy T.S. Palomares; Tanyalak Parimon; Samuel Parry; Sairam Parthasarathy; Thomas F. Patterson; Ann Pearman; Michael J. Peluso; Priscilla Pemu; Christian M. Pettker; Beth A. Plunkett; Kristen Pogreba-Brown; Athena Poppas; J. Zachary Porterfield; John G. Quigley; Davin K. Quinn; Hengameh Raissy; Candida J. Rebello; Uma M. Reddy; Rebecca Reece; Harrison T. Reeder; Franz P. Rischard; Johana M. Rosas; Clifford J. Rosen; Nadine G. Rouphae; Dwight J. Rouse; Adam M. Ruff; Christina Saint Jean; Grecio J. Sandoval; Jorge L. Santana; Shannon M. Schlater; Frank C. Sciurba; Caitlin Selvaggi; Sudha Seshadri; Howard D. Sesso; Dimpy P. Shah; Eyal Shemesh; Zaki A. Sherif; Daniel J. Shinnick; Hyagriv N. Simhan; Upinder Singh; Amber Sowles; Vignesh Subbian; Jun Sun; Mehul S. Suthar; Larissa J. Teunis; John M. Thorp Jr.; Amberly Ticotsky; Alan T. N. Tita; Robin Tragus; Katherine R. Tuttle; Alfredo E. Urdaneta; P. J. Utz; Timothy M. VanWagoner; Andrew Vasey; Suzanne D. Vernon; Crystal Vidal; Tiffany Walker; Honorine D. Ward; David E. Warren; Ryan M. Weeks; Steven J. Weiner; Jordan C. Weyer; Jennifer L. Wheeler; Sidney W. Whiteheart; Zanthia Wiley; Natasha J. Williams; Juan P. Wisnivesky; John C. Wood; Lynn M. Yee; Natalie M. Young; Sokratis N. Zisis; Andrea S. Foulkes; - Recover Initiative.
medrxiv; 2023.
Preprint en Inglés | medRxiv | ID: ppzbmed-10.1101.2023.05.26.23290475

RESUMEN

Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged [≥]18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.


Asunto(s)
COVID-19 , Síndrome Respiratorio Agudo Grave
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