Hyperglycemia in acute COVID-19 is characterized by insulin resistance and adipose tissue infectivity by SARS-CoV-2.
Moritz Reiterer,Mangala Rajan,Nicolás Gómez-Banoy,Jennifer D. Lau,Luis Gomez-Escobar,Lunkun Ma,Ankit Gilani,Sergio Alvarez-Mulett,Evan Sholle,Vasuretha Chandar,Yaron Bram,Katherine Hoffman,Priya Bhardwaj,Phoebe Piloco,Alfonso Rubio-Navarro,Skyler Uhl,Lucia Carrau,Sean Houhgton,David Redmond,Alpana P. Shukla,Parag Goyal,Kristy A. Brown,Benjamin R. tenOever,Laura C. Alonso,Robert E. Schwartz,Edward J. Schenck,Monika M. Safford,James C. Lo +27 more
TLDR
In this article, a screen of glucoregulatory hormones revealed lower levels of adiponectin in patients with acute respiratory distress syndrome (ARDS) and COVID-19 status.About:
This article is published in Cell Metabolism.The article was published on 2021-11-02 and is currently open access. It has received 98 citations till now. The article focuses on the topics: Adipose tissue & Adiponectin.read more
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A global view of the interplay between non-alcoholic fatty liver disease and diabetes.
Norbert Stefan,Kenneth Cusi +1 more
TL;DR: In this article , the authors discuss the major mechanisms that are involved in the pathogenesis of NAFLD and type 2 diabetes, and discuss whether these mechanisms place NA FLD in an important position to better understand the pathogenic of NCDs and communicable diseases, such as COVID-19.
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Metformin: Is it a drug for all reasons and diseases?
Chris R. Triggle,Ibrahim Mohammed,Khalifa Bshesh,Isra Marei,Kevin Ye,Hong Ding,Ross Alexander Macdonald.,Morley D. Hollenberg,M.A. Hill +8 more
TL;DR: Metformin was first used to treat type 2 diabetes in the late 1950s and in 2022 remains the first-choice drug used daily by approximately 150 million people in the US as discussed by the authors .
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Diabetes Fact Sheet in Korea 2021
Jae Hyun Bae,Kyungdo Han,Seung Hyun Ko,Ye Seul Yang,Jong Han Choi,Kyung Mook Choi,Hyuk-Sang Kwon,Kyu Chang Won +7 more
TL;DR: It was found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7% from 2019 to 2020, which was lower in men than women.
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Limited extent and consequences of pancreatic SARS-CoV-2 infection
Verena van der Heide,Sonia Jangra,Phillip Cohen,Raveen Rathnasinghe,Sadaf Aslam,Teresa Aydillo,Daniel Geanon,Diana Z. Handler,Geoffrey Kelly,Brian T. Lee,Adeeb Rahman,Travis Dawson,J. Qui,D. D’souza,Seunghee Kim-Schulze,Julia K. Panzer,Alejandro Caicedo,Irina Kusmartseva,Amanda L. Posgai,Mark A. Atkinson,Randy A. Albrecht,Adolfo García-Sastre,Brad Rosenberg,Michael Schotsaert,Dirk Homann +24 more
TL;DR: In this article , the authors demonstrate that productive infection is strictly dependent on the SARS-CoV-2 entry receptor ACE2 and targets practically all pancreatic cell types, and they also support the notion of diabetes and hyperglycemia as risk factors for an aggravated COVID-19 course.
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Post-acute sequelae of COVID-19: A metabolic perspective
TL;DR: In this paper , the potential pathogenic metabolic mechanisms that underly both severe acute COVID-19 and PASC are explored, and then the potential therapeutic approaches for future therapeutic approaches are considered.
References
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Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support
Paul A. Harris,Robert W. Taylor,Robert J. Thielke,Jonathon Payne,Nathaniel Gonzalez,José G. Conde +5 more
TL;DR: Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data Capture tools to support clinical and translational research.
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
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Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.
Fei Zhou,Ting Yu,Ronghui Du,Guohui Fan,Ying Liu,Zhibo Liu,Jie Xiang,Yeming Wang,Bin Song,Xiaoying Gu,Xiaoying Gu,Lulu Guan,Yuan Wei,Li Hui,Xudong Wu,Jiuyang Xu,Shengjin Tu,Yi Zhang,Hua Chen,Bin Cao +19 more
TL;DR: Wang et al. as discussed by the authors used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death, including older age, high SOFA score and d-dimer greater than 1 μg/mL.
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The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
Mervyn Singer,Clifford S. Deutschman,Christopher W. Seymour,Manu Shankar-Hari,Djillali Annane,Michael Bauer,Rinaldo Bellomo,Gordon R. Bernard,Jean-Daniel Chiche,Craig M. Coopersmith,Richard S. Hotchkiss,Mitchell M. Levy,John C. Marshall,Greg S. Martin,Steven M. Opal,Gordon D. Rubenfeld,Gordon D. Rubenfeld,Tom van der Poll,Jean Louis Vincent,Derek C. Angus +19 more
TL;DR: The task force concluded the term severe sepsis was redundant and updated definitions and clinical criteria should replace previous definitions, offer greater consistency for epidemiologic studies and clinical trials, and facilitate earlier recognition and more timely management of patients with sepsi or at risk of developing sepsic shock.
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Dexamethasone in Hospitalized Patients with Covid-19
Peter Horby,Wei Shen Lim,Jonathan Emberson,M Mafham,Jennifer L Bell,Louise Linsell,Natalie Staplin,Christopher E. Brightling,Andrew Ustianowski,E Elmahi,B Prudon,Christopher A Green,Timothy Felton,David Chadwick,K Rege,C Fegan,Lucy C Chappell,Saul N. Faust,Thomas Jaki,Katie Jeffery,Alan A Montgomery,Kathryn M Rowan,Edmund Juszczak,J K Baillie,Richard Haynes,Martin J Landray +25 more
TL;DR: In patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support.