The Wood equation allows consistent fitting of individual antibody-response profiles of Zika virus or SARS-CoV-2 infected patients.
Curve fit
Humoral immune response
Kinetic
SARS-CoV-2
Wood equation
Zika virus
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
22
12
2021
revised:
27
10
2023
accepted:
31
10
2023
medline:
29
11
2023
pubmed:
29
11
2023
entrez:
29
11
2023
Statut:
epublish
Résumé
Antibody kinetic curves obtained during a viral infection are often fitted using aggregated patient data, hiding the heterogeneity of individual humoral immune responses. Individual antibody responses can be modeled using the Wood equation and grouped according to their profile. Such modeling takes into account several important kinetic parameters, such as the day when antibody detection becomes positive [daypos], the day of the maximal response [daymax], the maximum antibody level [levelmax], and the day when antibody detection becomes negative [dayneg]. Potential associations between these profiles and studied factors can then be tested.
Identifiants
pubmed: 38027965
doi: 10.1016/j.heliyon.2023.e21945
pii: S2405-8440(23)09153-3
pmc: PMC10658335
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e21945Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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