Medicine and Health Sciences Commons^™

Metformin Is Associated With Reduced Covid-19 Severity In Patients With Prediabetes., Lauren E Chan, Elena Casiraghi, Bryan Laraway, Ben D Coleman, Hannah Blau, Adnin Zaman, Nomi L Harris, Kenneth Wilkins, Blessy Antony, Michael Gargano, Giorgio Valentini, David Sahner, Melissa Haendel, Peter N Robinson, Carolyn Bramante, Justin Reese

Faculty Research 2022

AIMS: Studies suggest that metformin is associated with reduced COVID-19 severity in individuals with diabetes compared to other antihyperglycemics. We assessed if metformin is associated with reduced incidence of severe COVID-19 for patients with prediabetes or polycystic ovary syndrome (PCOS), common diseases that increase the risk of severe COVID-19.

METHODS: This observational, retrospective study utilized EHR data from 52 hospitals for COVID-19 patients with PCOS or prediabetes treated with metformin or levothyroxine/ondansetron (controls). After balancing via inverse probability score weighting, associations with COVID-19 severity were assessed by logistic regression.

RESULTS: In the prediabetes cohort, when compared to levothyroxine, metformin was …

High-Temporal Resolution Profiling Reveals Distinct Immune Trajectories Following The First And Second Doses Of Covid-19 Mrna Vaccines., Darawan Rinchai, Sara Deola, Gabriele Zoppoli, Basirudeen Syed Ahamed Kabeer, Sara Taleb, Igor Pavlovski, Selma Maacha, Giusy Gentilcore, Mohammed Toufiq, Lisa Mathew, Li Liu, Fazulur Rehaman Vempalli, Ghada Mubarak, Stephan Lorenz, Irene Sivieri, Gabriella Cirmena, Chiara Dentone, Paola Cuccarolo, Daniele Roberto Giacobbe, Federico Baldi, Alberto Garbarino, Benedetta Cigolini, Paolo Cremonesi, Michele Bedognetti, Alberto Ballestrero, Matteo Bassetti, Boris P Hejblum, Tracy Augustine, Nicholas Van Panhuys, Rodolphe Thiebaut, Ricardo Branco, Tracey Chew, Maryam Shojaei, Kirsty Short, Carl G Feng, Predict-19 Consortium, Susu M Zughaier, Andrea De Maria, Benjamin Tang, Ali Ait Hssain, Davide Bedognetti, Jean-Charles Grivel, Damien Chaussabel

Faculty Research 2022

Knowledge of the mechanisms underpinning the development of protective immunity conferred by mRNA vaccines is fragmentary. Here, we investigated responses to coronavirus disease 2019 (COVID-19) mRNA vaccination via high-temporal resolution blood transcriptome profiling. The first vaccine dose elicited modest interferon and adaptive immune responses, which peaked on days 2 and 5, respectively. The second vaccine dose, in contrast, elicited sharp day 1 interferon, inflammation, and erythroid cell responses, followed by a day 5 plasmablast response. Both post-first and post-second dose interferon signatures were associated with the subsequent development of antibody responses. Yet, we observed distinct interferon response patterns after each …

Mortality Prediction Analysis Among Covid-19 Inpatients Using Clinical Variables And Deep Learning Chest Radiography Imaging Features., Xuan V Nguyen, Engin Dikici, Sema Candemir, Robyn L Ball, Luciano M Prevedello

Faculty Research 2022

The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rapid data-driven approaches to facilitate clinical decision making. We examined a machine learning process to predict inpatient mortality among COVID-19 patients using clinical and chest radiographic data. Modeling was performed with a de-identified dataset of encounters prior to widespread vaccine availability. Non-imaging predictors included demographics, pre-admission clinical history, and past medical history variables. Imaging features were extracted from chest radiographs by applying a deep convolutional neural network with transfer learning. A multi-layer perceptron combining 64 deep learning features from chest radiographs with 98 patient clinical …

Antibody Responses To Sars-Cov-2 After Infection Or Vaccination In Children And Young Adults With Inflammatory Bowel Disease., Joelynn Dailey, Lina Kozhaya, Mikail Dogan, Dena Hopkins, Blaine Lapin, Katherine Herbst, Michael Brimacombe, Kristen Grandonico, Fatih Karabacak, John Schreiber, Bruce Tsan-Liang Liang, Juan C Salazar, Derya Unutmaz, Jeffrey S Hyams

Faculty Research 2022

BACKGROUND: Characterization of neutralization antibodies to SARS-CoV-2 infection or vaccination in children and young adults with inflammatory bowel disease (IBD) receiving biologic therapies is crucial.

METHODS: We performed a prospective longitudinal cohort study evaluating SARS-CoV-2 spike protein receptor binding domain (S-RBD) IgG positivity along with consistent clinical symptoms in patients with IBD receiving infliximab or vedolizumab. Serum was also obtained following immunization with approved vaccines. The IgG antibody to the spike protein binding domain of SARS-CoV-2 was assayed with a fluorescent bead-based immunoassay that takes advantage of the high dynamic range of fluorescent molecules using flow cytometry. A sensitive and …

Nsaid Use And Clinical Outcomes In Covid-19 Patients: A 38-Center Retrospective Cohort Study., Justin T Reese, Ben D Coleman, Lauren Chan, Hannah Blau, Tiffany J Callahan, Luca Cappelletti, Tommaso Fontana, Katie R Bradwell, Nomi L Harris, Elena Casiraghi, Giorgio Valentini, Guy Karlebach, Rachel Deer, Julie A Mcmurry, Melissa A Haendel, Christopher G Chute, Emily Pfaff, Richard Moffitt, Heidi Spratt, Jasvinder A Singh, Christopher J Mungall, Andrew E Williams, Peter N Robinson

Faculty Research 2022

BACKGROUND: Non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to reduce pain, fever, and inflammation but have been associated with complications in community-acquired pneumonia. Observations shortly after the start of the COVID-19 pandemic in 2020 suggested that ibuprofen was associated with an increased risk of adverse events in COVID-19 patients, but subsequent observational studies failed to demonstrate increased risk and in one case showed reduced risk associated with NSAID use.

METHODS: A 38-center retrospective cohort study was performed that leveraged the harmonized, high-granularity electronic health record data of the National COVID Cohort Collaborative. A propensity-matched cohort of 19,746 COVID-19 inpatients was …

Combining Genomic And Epidemiological Data To Compare The Transmissibility Of Sars-Cov-2 Variants Alpha And Iota., Mary E Petrone, Jessica E Rothman, Mallery I Breban, Isabel M Ott, Alexis Russell, Erica Lasek-Nesselquist, Hamada Badr, Kevin Kelly, Gregory Omerza, Nicholas Renzette, Anne E Watkins, Chaney C Kalinich, Tara Alpert, Anderson F Brito, Rebecca Earnest, Irina R Tikhonova, Christopher Castaldi, John P Kelly, Matthew Shudt, Jonathan Plitnick, Erasmus Schneider, Steven Murphy, Caleb Neal, Eva Laszlo, Ahmad Altajar, Claire Pearson, Anthony Muyombwe, Randy Downing, Jafar Razeq, Linda Niccolai, Madeline S Wilson, Margaret L Anderson, Jianhui Wang, Chen Liu, Pei Hui, Shrikant Mane, Bradford P Taylor, William P Hanage, Marie L Landry, David R Peaper, Kaya Bilguvar, Joseph R Fauver, Chantal B F Vogels, Lauren M Gardner, Virginia E Pitzer, Kirsten St George, Mark D Adams, Nathan D Grubaugh

Faculty Research 2022

SARS-CoV-2 variants shaped the second year of the COVID-19 pandemic and the discourse around effective control measures. Evaluating the threat posed by a new variant is essential for adapting response efforts when community transmission is detected. In this study, we compare the dynamics of two variants, Alpha and Iota, by integrating genomic surveillance data to estimate the effective reproduction number (R_t) of the variants. We use Connecticut, United States, in which Alpha and Iota co-circulated in 2021. We find that the R_t of these variants were up to 50% larger than that of other variants. We then …

Comparative Transmissibility Of Sars-Cov-2 Variants Delta And Alpha In New England, Usa., Rebecca Earnest, Rockib Uddin, Nicholas Matluk, Nicholas Renzette, Sarah E Turbett, Katherine J Siddle, Christine Loreth, Gordon Adams, Christopher H Tomkins-Tinch, Mary E Petrone, Jessica E Rothman, Mallery I Breban, Robert Tobias Koch, Kendall Billig, Joseph R Fauver, Chantal B F Vogels, Kaya Bilguvar, Bony De Kumar, Marie L Landry, David R Peaper, Kevin Kelly, Greg Omerza, Heather Grieser, Sim Meak, John Martha, Hannah B Dewey, Susan Kales, Daniel Berenzy, Kristin Carpenter-Azevedo, Ewa King, Richard C Huard, Vlad Novitsky, Mark Howison, Josephine Darpolor, Akarsh Manne, Rami Kantor, Sandra C Smole, Catherine M Brown, Timelia Fink, Andrew S Lang, Glen R Gallagher, Virginia E Pitzer, Pardis C Sabeti, Stacey Gabriel, Bronwyn L Macinnis, New England Variant Investigation Team, Ryan Tewhey, Mark D Adams, Daniel J Park, Jacob E Lemieux, Nathan D Grubaugh

Faculty Research 2022

The SARS-CoV-2 Delta variant rose to dominance in mid-2021, likely propelled by an estimated 40%-80% increased transmissibility over Alpha. To investigate if this ostensible difference in transmissibility is uniform across populations, we partner with public health programs from all six states in New England in the United States. We compare logistic growth rates during each variant's respective emergence period, finding that Delta emerged 1.37-2.63 times faster than Alpha (range across states). We compute variant-specific effective reproductive numbers, estimating that Delta is 63%-167% more transmissible than Alpha (range across states). Finally, we estimate that Delta infections generate on average 6.2 (95% …

Efficient Targeted Transgenesis Of Large Donor Dna Into Multiple Mouse Genetic Backgrounds Using Bacteriophage Bxb1 Integrase., Benjamin E. Low, Vishnu Hosur, Simon Lesbirel, Michael V. Wiles

Faculty Research 2022

The development of mouse models of human disease and synthetic biology research by targeted transgenesis of large DNA constructs represent a significant genetic engineering hurdle. We developed an efficient, precise, single-copy integration of large transgenes directly into zygotes using multiple mouse genetic backgrounds. We used in vivo Bxb1 mediated recombinase-mediated cassette exchange (RMCE) with a transgene "landing pad" composed of dual heterologous Bxb1 attachment (att) sites in cis, within the Gt(ROSA)26Sor safe harbor locus. RMCE of donor was achieved by microinjection of vector DNA carrying cognate attachment sites flanking the donor transgene with Bxb1-integrase mRNA. This approach achieves perfect vector-free …

Single-Cell Multi-Omics Reveals Dyssynchrony Of The Innate And Adaptive Immune System In Progressive Covid-19., Avraham Unterman, Tomokazu S Sumida, Nima Nouri, Xiting Yan, Amy Y Zhao, Victor Gasque, Jonas C Schupp, Hiromitsu Asashima, Yunqing Liu, Carlos Cosme, Wenxuan Deng, Ming Chen, Micha Sam Brickman Raredon, Kenneth B Hoehn, Guilin Wang, Zuoheng Wang, Giuseppe Deiuliis, Neal G Ravindra, Ningshan Li, Christopher Castaldi, Patrick Wong, John Fournier, Santos Bermejo, Lokesh Sharma, Arnau Casanovas-Massana, Chantal B F Vogels, Anne L Wyllie, Nathan D Grubaugh, Anthony Melillo, Hailong Meng, Yan Stein, Maksym Minasyan, Subhasis Mohanty, William E Ruff, Inessa Cohen, Khadir Raddassi, Laura E Niklason, Albert I Ko, Ruth R Montgomery, Shelli F Farhadian, Akiko Iwasaki, Albert C Shaw, David Van Dijk, Hongyu Zhao, Steven H Kleinstein, David A Hafler, Naftali Kaminski, Charles S Dela Cruz

Faculty Research 2022

Dysregulated immune responses against the SARS-CoV-2 virus are instrumental in severe COVID-19. However, the immune signatures associated with immunopathology are poorly understood. Here we use multi-omics single-cell analysis to probe the dynamic immune responses in hospitalized patients with stable or progressive course of COVID-19, explore V(D)J repertoires, and assess the cellular effects of tocilizumab. Coordinated profiling of gene expression and cell lineage protein markers shows that S100A

The National Covid Cohort Collaborative (N3c): Rationale, Design, Infrastructure, And Deployment., Melissa A Haendel, Christopher G Chute, Tellen D Bennett, David A Eichmann, Justin Guinney, Warren A Kibbe, Philip R O Payne, Emily R Pfaff, Peter N Robinson, Joel H Saltz, Heidi Spratt, Christine Suver, John Wilbanks, Adam B Wilcox, Andrew E Williams, Chunlei Wu, Clair Blacketer, Robert L Bradford, James J Cimino, Marshall Clark, Evan W Colmenares, Patricia A Francis, Davera Gabriel, Alexis Graves, Raju Hemadri, Stephanie S Hong, George Hripscak, Dazhi Jiao, Jeffrey G Klann, Kristin Kostka, Adam M Lee, Harold P Lehmann, Lora Lingrey, Robert T Miller, Michele Morris, Shawn N Murphy, Karthik Natarajan, Matvey B Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M Walters, Griffin M Weber, Xiaohan Tanner Zhang, Richard L Zhu, Benjamin Amor, Andrew T Girvin, Amin Manna, Nabeel Qureshi, Michael G Kurilla, Sam G Michael, Lili M Portilla, Joni L Rutter, Christopher P Austin, Ken R Gersing

Faculty Research 2021

OBJECTIVE: Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level data from many centers.

MATERIALS AND METHODS: The Clinical and Translational Science Award Program and scientific community created N3C to overcome technical, regulatory, policy, and governance barriers to sharing and harmonizing individual-level clinical data. We …

Mouse Genome Database (Mgd): Knowledgebase For Mouse-Human Comparative Biology., Judith A. Blake, Richard M. Baldarelli, James A. Kadin, Joel E Richardson, Cynthia Smith, Carol J Bult, Mouse Genome Database Group

Faculty Research 2021

The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. MGD is the authoritative source for biological reference data related to mouse genes, gene functions, phenotypes and mouse models of human disease. MGD is the primary source for official gene, allele, and mouse strain nomenclature based on the guidelines set by the International Committee on Standardized Nomenclature for Mice. MGD's biocuration scientists curate information from the biomedical literature and from large and small datasets contributed …

Regen Med Therapeutic Opportunities For Fighting Covid-19., Anthony Atala, Alicia Henn, Martha Lundberg, Taby Ahsan, Jordan Greenberg, Jeff Krukin, Steven Lynum, Cathleen Lutz, Kyle Cetrulo, Mohammad Albanna, Taciana Pereira, Shannon Eaker, Joshua Hunsberger

Faculty Research 2021

This perspective from a Regenerative Medicine Manufacturing Society working group highlights regenerative medicine therapeutic opportunities for fighting COVID-19. This article addresses why SARS-CoV-2 is so different from other viruses and how regenerative medicine is poised to deliver new therapeutic opportunities to battle COVID-19. We describe animal models that depict the mechanism of action for COVID-19 and that may help identify new treatments. Additionally, organoid platforms that can recapitulate some of the physiological properties of human organ systems, such as the lungs and the heart, are discussed as potential platforms that may prove useful in rapidly screening new drugs and identifying …