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Title:Obesity measures and dietary parameters as predictors of gut microbiota phyla in healthy individuals
Authors:ID Kranjc, Katja (Author)
ID Petelin, Ana (Author)
ID Pražnikar, Jure (Author)
ID Nova, Esther (Author)
ID Redondo, Noemi (Author)
ID Ascensión, Marcos (Author)
ID Jenko Pražnikar, Zala (Author)
Files:URL https://www.mdpi.com/2072-6643/12/9/2695
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:IAM - Andrej Marušič Institute
Abstract:: The dynamics and diversity of human gut microbiota that can remarkably influence the wellbeing and health of the host are constantly changing through the host%s lifetime in response to various factors. The aim of the present study was to determine a set of parameters that could have a major impact on classifying subjects into a single cluster regarding gut bacteria composition. Therefore, a set of demographical, environmental, and clinical data of healthy adults aged 25%50 years (117 female and 83 men) was collected. Fecal microbiota composition was characterized using Illumina MiSeq 16S rRNA gene amplicon sequencing. Hierarchical clustering was performed to analyze the microbiota data set, and a supervised machine learning model (SVM; Support Vector Machines) was applied for classification. Seventy variables from collected data were included in machine learning analysis. The agglomerative clustering algorithm suggested the presence of four distinct community types of most abundant bacterial phyla. Each cluster harbored a statistically significant different proportion of bacterial phyla. Regarding prediction, the most important features classifying subjects into clusters were measures of obesity (waist to hip ratio, BMI, and visceral fat index), total body water, blood pressure, energy intake, total fat, olive oil intake, total fiber intake, and water intake. In conclusion, the SVM model was shown as a valuable tool to classify healthy individuals based on their gut microbiota composition.
Keywords:gut microbiota, nutrition, obesity, lifestyle parameters, clustering
Year of publishing:2020
Number of pages:str. 1-18
Numbering:#Vol. #12, #iss. #9
PID:20.500.12556/RUP-14023 This link opens in a new window
UDC:612.74:613.292
ISSN on article:2072-6643
DOI:10.3390/nu12092695 This link opens in a new window
COBISS.SI-ID:27489283 This link opens in a new window
Publication date in RUP:10.09.2020
Views:1918
Downloads:79
Metadata:XML DC-XML DC-RDF
:
KRANJC, Katja, PETELIN, Ana, PRAŽNIKAR, Jure, NOVA, Esther, REDONDO, Noemi, ASCENSIÓN, Marcos and JENKO PRAŽNIKAR, Zala, 2020, Obesity measures and dietary parameters as predictors of gut microbiota phyla in healthy individuals. Nutrients [online]. 2020. Vol. 12, no. 9, p. 1–18. [Accessed 29 March 2025]. DOI 10.3390/nu12092695. Retrieved from: https://www.mdpi.com/2072-6643/12/9/2695
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Record is a part of a journal

Title:Nutrients
Shortened title:Nutrients
Publisher:MDPI
ISSN:2072-6643
COBISS.SI-ID:2948140 This link opens in a new window

Secondary language

Language:English
Keywords:črevesna mikrobna združba, prehrana, debelost, življenjski slog, klastriranje


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