Predicting Personalized Diets Based on Microbial Characteristics between Patients with Superficial Gastritis and Atrophic Gastritis.
H. pylori
atrophic gastritis
dietary strategies
exogenous metabolites
microbiome
microbiota-directed food
Journal
Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595
Informations de publication
Date de publication:
09 Nov 2023
09 Nov 2023
Historique:
received:
08
10
2023
revised:
04
11
2023
accepted:
07
11
2023
medline:
27
11
2023
pubmed:
25
11
2023
entrez:
25
11
2023
Statut:
epublish
Résumé
gastritis is a common stomach disease with a high global incidence and can potentially develop into gastric cancer. The treatment of gastritis focuses on medication or diets based on national guidelines. However, the specific diet that can alleviate gastritis remains largely unknown. we propose a microbiota-directed dietary strategy that investigates potential food factors using microbial exogenous metabolites. Given the current lack of understanding of the repeatable characteristics of gastric microbiota, we conducted a meta-analysis to identify the features of gastric bacteria. Local samples were collected as validation cohorts. Furthermore, RevEcoR was employed to identify bacteria's exogenous metabolites, and FooDB was used to retrieve foods that can target specific bacteria. Bacteroides, Weissella, Actinomyces, Atopobium, Oribacterium, Peptostreptococcus, and Rothia were biomarkers between superficial gastritis (SG) and atrophic gastritis (AG) (AG_N) without this study firstly profiled the gastric microbiota of AG and SG with or without
Sections du résumé
BACKGROUND
BACKGROUND
gastritis is a common stomach disease with a high global incidence and can potentially develop into gastric cancer. The treatment of gastritis focuses on medication or diets based on national guidelines. However, the specific diet that can alleviate gastritis remains largely unknown.
METHODS
METHODS
we propose a microbiota-directed dietary strategy that investigates potential food factors using microbial exogenous metabolites. Given the current lack of understanding of the repeatable characteristics of gastric microbiota, we conducted a meta-analysis to identify the features of gastric bacteria. Local samples were collected as validation cohorts. Furthermore, RevEcoR was employed to identify bacteria's exogenous metabolites, and FooDB was used to retrieve foods that can target specific bacteria.
RESULTS
RESULTS
Bacteroides, Weissella, Actinomyces, Atopobium, Oribacterium, Peptostreptococcus, and Rothia were biomarkers between superficial gastritis (SG) and atrophic gastritis (AG) (AG_N) without
CONCLUSIONS
CONCLUSIONS
this study firstly profiled the gastric microbiota of AG and SG with or without
Identifiants
pubmed: 38004131
pii: nu15224738
doi: 10.3390/nu15224738
pmc: PMC10675729
pii:
doi:
Types de publication
Meta-Analysis
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Natural Science Foundation of China
ID : 32122067
Organisme : National Natural Science Foundation of China
ID : 32021005
Organisme : Natural Science Foundation of Jiangsu Province
ID : BK20200084
Organisme : Key Talents Project of "Strengthening Health through Science and Education" of Wuxi Health and Family Planning Commission
ID : ZDRC039
Organisme : Top Talents Project of "Six-one Project" for High-level Health Talents in Jiangsu Province
ID : LGY2018016
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