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  1. Article: Distinguishing features of Long COVID identified through immune profiling.

    Klein, Jon / Wood, Jamie / Jaycox, Jillian / Lu, Peiwen / Dhodapkar, Rahul M / Gehlhausen, Jeff R / Tabachnikova, Alexandra / Tabacof, Laura / Malik, Amyn A / Kamath, Kathy / Greene, Kerrie / Monteiro, Valter Silva / Peña-Hernandez, Mario / Mao, Tianyang / Bhattacharjee, Bornali / Takahashi, Takehiro / Lucas, Carolina / Silva, Julio / Mccarthy, Dayna /
    Breyman, Erica / Tosto-Mancuso, Jenna / Dai, Yile / Perotti, Emily / Akduman, Koray / Tzeng, Tiffany J / Xu, Lan / Yildirim, Inci / Krumholz, Harlan M / Shon, John / Medzhitov, Ruslan / Omer, Saad B / van Dijk, David / Ring, Aaron M / Putrino, David / Iwasaki, Akiko

    medRxiv : the preprint server for health sciences

    2022  

    Abstract: SARS-CoV-2 infection can result in the development of a constellation of persistent sequelae following acute disease called post-acute sequelae of COVID-19 (PASC) or Long ... ...

    Abstract SARS-CoV-2 infection can result in the development of a constellation of persistent sequelae following acute disease called post-acute sequelae of COVID-19 (PASC) or Long COVID
    Language English
    Publishing date 2022-08-10
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2022.08.09.22278592
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Distinguishing features of long COVID identified through immune profiling.

    Klein, Jon / Wood, Jamie / Jaycox, Jillian R / Dhodapkar, Rahul M / Lu, Peiwen / Gehlhausen, Jeff R / Tabachnikova, Alexandra / Greene, Kerrie / Tabacof, Laura / Malik, Amyn A / Silva Monteiro, Valter / Silva, Julio / Kamath, Kathy / Zhang, Minlu / Dhal, Abhilash / Ott, Isabel M / Valle, Gabrielee / Peña-Hernández, Mario / Mao, Tianyang /
    Bhattacharjee, Bornali / Takahashi, Takehiro / Lucas, Carolina / Song, Eric / McCarthy, Dayna / Breyman, Erica / Tosto-Mancuso, Jenna / Dai, Yile / Perotti, Emily / Akduman, Koray / Tzeng, Tiffany J / Xu, Lan / Geraghty, Anna C / Monje, Michelle / Yildirim, Inci / Shon, John / Medzhitov, Ruslan / Lutchmansingh, Denyse / Possick, Jennifer D / Kaminski, Naftali / Omer, Saad B / Krumholz, Harlan M / Guan, Leying / Dela Cruz, Charles S / van Dijk, David / Ring, Aaron M / Putrino, David / Iwasaki, Akiko

    Nature

    2023  Volume 623, Issue 7985, Page(s) 139–148

    Abstract: Post-acute infection syndromes may develop after acute viral ... ...

    Abstract Post-acute infection syndromes may develop after acute viral disease
    MeSH term(s) Humans ; Antibodies, Viral/blood ; Antibodies, Viral/immunology ; Biomarkers/blood ; Cross-Sectional Studies ; Herpesvirus 4, Human/immunology ; Hydrocortisone/blood ; Immunophenotyping ; Lymphocytes/immunology ; Machine Learning ; Myeloid Cells/immunology ; Post-Acute COVID-19 Syndrome/diagnosis ; Post-Acute COVID-19 Syndrome/immunology ; Post-Acute COVID-19 Syndrome/physiopathology ; Post-Acute COVID-19 Syndrome/virology ; SARS-CoV-2/immunology
    Chemical Substances Antibodies, Viral ; Biomarkers ; Hydrocortisone (WI4X0X7BPJ)
    Language English
    Publishing date 2023-09-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-023-06651-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Diverse Functional Autoantibodies in Patients with COVID-19.

    Wang, Eric Y / Mao, Tianyang / Klein, Jon / Dai, Yile / Huck, John D / Liu, Feimei / Zheng, Neil S / Zhou, Ting / Israelow, Benjamin / Wong, Patrick / Lucas, Carolina / Silva, Julio / Oh, Ji Eun / Song, Eric / Perotti, Emily S / Fischer, Suzanne / Campbell, Melissa / Fournier, John B / Wyllie, Anne L /
    Vogels, Chantal B F / Ott, Isabel M / Kalinich, Chaney C / Petrone, Mary E / Watkins, Anne E / Cruz, Charles Dela / Farhadian, Shelli F / Schulz, Wade L / Grubaugh, Nathan D / Ko, Albert I / Iwasaki, Akiko / Ring, Aaron M

    medRxiv : the preprint server for health sciences

    2021  

    Abstract: COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune ... ...

    Abstract COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune responses
    Language English
    Publishing date 2021-02-01
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2020.12.10.20247205
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Diverse functional autoantibodies in patients with COVID-19.

    Wang, Eric Y / Mao, Tianyang / Klein, Jon / Dai, Yile / Huck, John D / Jaycox, Jillian R / Liu, Feimei / Zhou, Ting / Israelow, Benjamin / Wong, Patrick / Coppi, Andreas / Lucas, Carolina / Silva, Julio / Oh, Ji Eun / Song, Eric / Perotti, Emily S / Zheng, Neil S / Fischer, Suzanne / Campbell, Melissa /
    Fournier, John B / Wyllie, Anne L / Vogels, Chantal B F / Ott, Isabel M / Kalinich, Chaney C / Petrone, Mary E / Watkins, Anne E / Dela Cruz, Charles / Farhadian, Shelli F / Schulz, Wade L / Ma, Shuangge / Grubaugh, Nathan D / Ko, Albert I / Iwasaki, Akiko / Ring, Aaron M

    Nature

    2021  Volume 595, Issue 7866, Page(s) 283–288

    Abstract: COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune ... ...

    Abstract COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune responses
    MeSH term(s) Animals ; Antigens, Surface/immunology ; Autoantibodies/analysis ; Autoantibodies/immunology ; COVID-19/immunology ; COVID-19/metabolism ; COVID-19/pathology ; COVID-19/physiopathology ; Case-Control Studies ; Complement System Proteins/immunology ; Cytokines/immunology ; Disease Models, Animal ; Disease Progression ; Female ; Humans ; Male ; Mice ; Organ Specificity/immunology ; Proteome/immunology ; Proteome/metabolism
    Chemical Substances Antigens, Surface ; Autoantibodies ; Cytokines ; Proteome ; Complement System Proteins (9007-36-7)
    Language English
    Publishing date 2021-05-19
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/s41586-021-03631-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Distinguishing features of Long COVID identified through immune profiling

    Klein, Jon / Wood, Jamie / Jaycox, Jillian / Lu, Peiwen / Dhodapkar, Rahul M. / Gehlhausen, Jeffrey R. / Tabachnikova, Alexandra / Tabacof, Laura / Malik, Amyn A. / Kamath, Kathy / Greene, Kerrie / Silva Monteiro, Valter / Pena-Hernandez, Mario / Mao, Tianyang / Bhattacharjee, Bornali / Takahashi, Takehiro / Lucas, Carolina / Silva, Julio / Mccarthy, Dayna /
    Breyman, Erica / Tosto-Mancuso, Jenna / Dai, Yile / Perotti, Emily / Akduman, Koray / Tzeng, Tiffany / Xu, Lan / Yildirim, Inci / Krumholz, Harlan M. / Shon, John / Medzhitov, Ruslan / Omer, Saad B. / van Dijk, David / Ring, Aaron M. / Putrino, David / Iwasaki, Akiko

    medRxiv

    Abstract: SARS-CoV-2 infection can result in the development of a constellation of persistent sequelae following acute disease called post-acute sequelae of COVID-19 (PASC) or Long COVID. Individuals diagnosed with Long COVID frequently report unremitting fatigue, ...

    Abstract SARS-CoV-2 infection can result in the development of a constellation of persistent sequelae following acute disease called post-acute sequelae of COVID-19 (PASC) or Long COVID. Individuals diagnosed with Long COVID frequently report unremitting fatigue, post-exertional malaise, and a variety of cognitive and autonomic dysfunctions; however, the basic biological mechanisms responsible for these debilitating symptoms are unclear. Here, 215 individuals were included in an exploratory, cross-sectional study to perform multi-dimensional immune phenotyping in conjunction with machine learning methods to identify key immunological features distinguishing Long COVID. Marked differences were noted in specific circulating myeloid and lymphocyte populations relative to matched control groups, as well as evidence of elevated humoral responses directed against SARS-CoV-2 among participants with Long COVID. Further, unexpected increases were observed in antibody responses directed against non-SARS-CoV-2 viral pathogens, particularly Epstein-Barr virus. Analysis of circulating immune mediators and various hormones also revealed pronounced differences, with levels of cortisol being uniformly lower among participants with Long COVID relative to matched control groups. Integration of immune phenotyping data into unbiased machine learning models identified significant distinguishing features critical in accurate classification of Long COVID, with decreased levels of cortisol being the most significant individual predictor. These findings will help guide additional studies into the pathobiology of Long COVID and may aid in the future development of objective biomarkers for Long COVID.
    Keywords covid19
    Language English
    Publishing date 2022-08-10
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2022.08.09.22278592
    Database COVID19

    Kategorien

  6. Article ; Online: Diverse Functional Autoantibodies in Patients with COVID-19

    Wang, Eric Y. / Mao, Tianyang / Klein, Jon / Dai, Yile / Huck, John D. / Liu, Feimei / Zheng, Neil S. / Zhou, Ting / Israelow, Benjamin / Wong, Patrick / Lucas, Carolina / Silva, Julio / Oh, Ji Eun / Song, Eric / Perotti, Emily S. / Fischer, Suzanne / Campbell, Melissa / Fournier, John B. / Wyllie, Anne L. /
    Vogels, Chantal B. F. / Ott, Isabel M. / Kalinich, Chaney C. / Petrone, Mary E. / Watkins, Anne E. / Yale IMPACT Team / Dela Cruz, Charles / Farhadian, Shelli F. / Schulz, Wade L. / Grubaugh, Nathan D. / Ko, Albert I. / Iwasaki, Akiko / Ring, Aaron M.

    medRxiv

    Abstract: COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune responses. While pathological innate immune activation is well documented in severe disease, the impact of autoantibodies on ... ...

    Abstract COVID-19 manifests with a wide spectrum of clinical phenotypes that are characterized by exaggerated and misdirected host immune responses. While pathological innate immune activation is well documented in severe disease, the impact of autoantibodies on disease progression is less defined. Here, we used a high-throughput autoantibody discovery technique called Rapid Extracellular Antigen Profiling (REAP) to screen a cohort of 194 SARS-CoV-2 infected COVID-19 patients and healthcare workers for autoantibodies against 2,770 extracellular and secreted proteins (the "exoproteome"). We found that COVID-19 patients exhibit dramatic increases in autoantibody reactivities compared to uninfected controls, with a high prevalence of autoantibodies against immunomodulatory proteins including cytokines, chemokines, complement components, and cell surface proteins. We established that these autoantibodies perturb immune function and impair virological control by inhibiting immunoreceptor signaling and by altering peripheral immune cell composition, and found that murine surrogates of these autoantibodies exacerbate disease severity in a mouse model of SARS-CoV-2 infection. Analysis of autoantibodies against tissue-associated antigens revealed associations with specific clinical characteristics and disease severity. In summary, these findings implicate a pathological role for exoproteome-directed autoantibodies in COVID-19 with diverse impacts on immune functionality and associations with clinical outcomes.
    Keywords covid19
    Language English
    Publishing date 2020-12-11
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.12.10.20247205
    Database COVID19

    Kategorien

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