Method for estimating disease risk from microbiome data using structural equation modeling.
amplicon sequence variants
atopic dermatitis
human intestinal microbiome
latent variables
microbiota
structural equation modeling
Journal
Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977
Informations de publication
Date de publication:
2023
2023
Historique:
received:
05
09
2022
accepted:
09
01
2023
entrez:
13
2
2023
pubmed:
14
2
2023
medline:
14
2
2023
Statut:
epublish
Résumé
The relationship between the human gut microbiota and disease is of increasing scientific interest. Previous investigations have focused on the differences in intestinal bacterial abundance between control and affected groups to identify disease biomarkers. However, different types of intestinal bacteria may have interacting effects and thus be considered biomarker complexes for disease. To investigate this, we aimed to identify a new kind of biomarker for atopic dermatitis using structural equation modeling (SEM). The biomarkers identified were latent variables, which are complex and derived from the abundance data for bacterial marker candidates. Groups of females and males classified as healthy participants [normal control (NC) (female: 321 participants, male: 99 participants)], and patients afflicted with atopic dermatitis only [AS (female: 45 participants, male: 13 participants)], with atopic dermatitis and other diseases [AM (female: 75 participants, male: 34 participants)], and with other diseases but without atopic dermatitis [OD (female: 1,669 participants, male: 866 participants)] were used in this investigation. The candidate bacterial markers were identified by comparing the intestinal microbial community compositions between the NC and AS groups. In females, two latent variables (lv) were identified; for lv1, the associated components (bacterial genera) were
Identifiants
pubmed: 36778866
doi: 10.3389/fmicb.2023.1035002
pmc: PMC9909428
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1035002Informations de copyright
Copyright © 2023 Tokuno, Itoga, Kasuga, Okuma, Hasuko, Masuyama and Benno.
Déclaration de conflit d'intérêts
HT, TI, JK, KH, HM, and KO were employed by Symbiosis Solutions Inc. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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