Literature DB >> 36210425

Differences in Gut Microbiota Composition and Predicted Metabolic Functions: a Pilot Study of Adolescents with Normal Weight and Obesity.

E S Klimenko1, N L Belkova2, A I Romanitsa2, A V Pogodina2, L V Rychkova2, M A Darenskaya2.   

Abstract

Understanding the principles underlying the stability and sustainability of the gut microbiome of adolescents with normal weight and obesity will make it possible to implement a personalized approach to the correction of metabolic disorders. The article presents the results of a pilot study of the diversity and metabolic potential of the gut microbiome in adolescents with normal body weight and obesity. Biological material was studied using metagenomic sequencing of the V3-V4 variable regions of the 16S rRNA gene. In all adolescents with normal weight, similar degree of the phylogenetic relationship between the bacterial taxa of the community was demonstrated. In contrast, obese adolescents were characterized by the presence of phylogenetically distinct taxa in the gut microbiota. However, even with differences in taxonomic composition, the gut microbial community can compensate for the absence of certain taxonomic groups by implementing the necessary metabolic functions using other phylogenetically close taxa.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  adolescents; composition and structure of the microbial community; gut microbiota; metabolic potential; obesity

Mesh:

Substances:

Year:  2022        PMID: 36210425     DOI: 10.1007/s10517-022-05601-4

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.737


  10 in total

1.  Metasequencing of V3-V4 Variable Regions of 16S rRNA Gene in Opportunistic Microbiota and Gut Biocenosis in Obese Adolescents.

Authors:  E V Grigorova; N L Belkova; U M Nemchenko; E S Klimenko; A V Pogodina; A I Romanitsa; E A Novikova; L V Rychkova
Journal:  Bull Exp Biol Med       Date:  2021-01-16       Impact factor: 0.804

2.  Cardiometabolic Risk Factors and Health-Related Quality of Life in Adolescents with Obesity.

Authors:  Anna Pogodina; Ljubov Rychkova; Olga Kravtzova; Juliana Klimkina; Arjuna Kosovtzeva
Journal:  Child Obes       Date:  2017-07-18       Impact factor: 2.992

3.  Stress and stability: applying the Anna Karenina principle to animal microbiomes.

Authors:  Jesse R Zaneveld; Ryan McMinds; Rebecca Vega Thurber
Journal:  Nat Microbiol       Date:  2017-08-24       Impact factor: 17.745

Review 4.  Gut microbiome stability and resilience: elucidating the response to perturbations in order to modulate gut health.

Authors:  Marina Fassarella; Ellen E Blaak; John Penders; Arjen Nauta; Hauke Smidt; Erwin G Zoetendal
Journal:  Gut       Date:  2020-10-13       Impact factor: 23.059

5.  PICRUSt2 for prediction of metagenome functions.

Authors:  Gavin M Douglas; Vincent J Maffei; Jesse R Zaneveld; Svetlana N Yurgel; James R Brown; Christopher M Taylor; Curtis Huttenhower; Morgan G I Langille
Journal:  Nat Biotechnol       Date:  2020-06       Impact factor: 54.908

6.  Composition and Structure of Gut Microbiome in Adolescents with Obesity and Different Breastfeeding Duration.

Authors:  N L Belkova; U M Nemchenko; A V Pogodina; S I Feranchuk; A I Romanitsa; E A Novikova; L V Rychkova
Journal:  Bull Exp Biol Med       Date:  2019-10-26       Impact factor: 0.804

7.  Anna Karenina and the subgingival microbiome associated with periodontitis.

Authors:  Khaled Altabtbaei; Pooja Maney; Sukirth M Ganesan; Shareef M Dabdoub; Haikady N Nagaraja; Purnima S Kumar
Journal:  Microbiome       Date:  2021-04-30       Impact factor: 14.650

Review 8.  Is the Gut Microbiota a Neglected Aspect of Gut and Brain Disorders?

Authors:  Yuvaraj Balan; Archana Gaur; Varatharajan Sakthivadivel; Bhushan Kamble; Raja Sundaramurthy
Journal:  Cureus       Date:  2021-11-19

9.  Metagenomic 16S rDNA amplicon datasets from adolescents with normal weight, obesity, and obesity with irritable bowel syndrome from Eastern Siberia, Russia.

Authors:  Natalia Belkova; Elizaveta Klimenko; Anastasiya Romanitsa; Anna Pogodina; Lubov Rychkova
Journal:  Data Brief       Date:  2020-08-06

10.  Human behavior, not race or geography, is the strongest predictor of microbial succession in the gut bacteriome of infants.

Authors:  Candice Quin; Deanna L Gibson
Journal:  Gut Microbes       Date:  2020-04-05
  10 in total

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