Sökning: WFRF:(Karlsson Hedestam Gunilla)
> (2020-2023) >
Probabilistic class...
-
Castro Dopico, XaquinKarolinska Institutet
(författare)
Probabilistic classification of anti-SARS-CoV-2 antibody responses improves seroprevalence estimates
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
-
2022-03-02
-
John Wiley & Sons,2022
-
electronicrdacarrier
Nummerbeteckningar
-
LIBRIS-ID:oai:DiVA.org:umu-193709
-
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-193709URI
-
https://doi.org/10.1002/cti2.1379DOI
-
http://kipublications.ki.se/Default.aspx?queryparsed=id:149146834URI
Kompletterande språkuppgifter
-
Språk:engelska
-
Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
-
Ämneskategori:ref swepub-contenttype
-
Ämneskategori:art swepub-publicationtype
Anmärkningar
-
Objectives: Population-level measures of seropositivity are critical for understanding the epidemiology of an emerging pathogen, yet most antibody tests apply a strict cutoff for seropositivity that is not learnt in a data-driven manner, leading to uncertainty when classifying low-titer responses. To improve upon this, we evaluated cutoff-independent methods for their ability to assign likelihood of SARS-CoV-2 seropositivity to individual samples. Methods: Using robust ELISAs based on SARS-CoV-2 spike (S) and the receptor-binding domain (RBD), we profiled antibody responses in a group of SARS-CoV-2 PCR+ individuals (n = 138). Using these data, we trained probabilistic learners to assign likelihood of seropositivity to test samples of unknown serostatus (n = 5100), identifying a support vector machines-linear discriminant analysis learner (SVM-LDA) suited for this purpose. Results: In the training data from confirmed ancestral SARS-CoV-2 infections, 99% of participants had detectable anti-S and -RBD IgG in the circulation, with titers differing > 1000-fold between persons. In data of otherwise healthy individuals, 7.2% (n = 367) of samples were of uncertain serostatus, with values in the range of 3-6SD from the mean of pre-pandemic negative controls (n = 595). In contrast, SVM-LDA classified 6.4% (n = 328) of test samples as having a high likelihood (> 99% chance) of past infection, 4.5% (n = 230) to have a 50–99% likelihood, and 4.0% (n = 203) to have a 10–49% likelihood. As different probabilistic approaches were more consistent with each other than conventional SD-based methods, such tools allow for more statistically-sound seropositivity estimates in large cohorts. Conclusion: Probabilistic antibody testing frameworks can improve seropositivity estimates in populations with large titer variability.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Muschiol, SandraKarolinska Institutet
(författare)
-
Grinberg, Nastasiya F.Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, United Kingdom
(författare)
-
Aleman, SooKarolinska Institutet
(författare)
-
Sheward, Daniel J.Karolinska Institutet
(författare)
-
Hanke, LeoKarolinska Institutet
(författare)
-
Ahl, MarcusDepartment of Infectious Diseases, Karolinska University Hospital, Huddinge, Sweden
(författare)
-
Vikström, LinneaUmeå universitet,Institutionen för klinisk mikrobiologi(Swepub:umu)livi0047
(författare)
-
Forsell, Mattias N. E.Umeå universitet,Institutionen för klinisk mikrobiologi(Swepub:umu)mafo0173
(författare)
-
Coquet, Jonathan M.Karolinska Institutet
(författare)
-
McInerney, GeraldKarolinska Institutet
(författare)
-
Dillner, JoakimKarolinska Institutet
(författare)
-
Bogdanovic, GordanaKarolinska Institutet
(författare)
-
Murrell, BenKarolinska Institutet
(författare)
-
Albert, JanKarolinska Institutet
(författare)
-
Wallace, ChrisCambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, United Kingdom; Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom
(författare)
-
Karlsson Hedestam, Gunilla B.Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
(författare)
-
Karolinska InstitutetCambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, United Kingdom
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:Clinical & Translational Immunology (CTI): John Wiley & Sons11:32050-0068
Internetlänk
Hitta via bibliotek
Till lärosätets databas
- Av författaren/redakt...
-
Castro Dopico, X ...
-
Muschiol, Sandra
-
Grinberg, Nastas ...
-
Aleman, Soo
-
Sheward, Daniel ...
-
Hanke, Leo
-
visa fler...
-
Ahl, Marcus
-
Vikström, Linnea
-
Forsell, Mattias ...
-
Coquet, Jonathan ...
-
McInerney, Geral ...
-
Dillner, Joakim
-
Bogdanovic, Gord ...
-
Murrell, Ben
-
Albert, Jan
-
Wallace, Chris
-
Karlsson Hedesta ...
-
visa färre...
- Om ämnet
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Medicinska och f ...
-
och Immunologi inom ...
-
- MEDICIN OCH HÄLSOVETENSKAP
-
MEDICIN OCH HÄLS ...
-
och Klinisk medicin
-
och Infektionsmedici ...
- Artiklar i publikationen
-
Clinical & Trans ...
- Av lärosätet
-
Umeå universitet
-
Karolinska Institutet