ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2020
Microbiome-immune-metabolic axis in the epidemic of childhood obesity: Evidence and opportunities.
Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 59 citations in OpenAlex.
- Associations of child and adolescent obesity with the risk of neuroinflammatory diseases: analysis of data from a global health-care database.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Effects of empagliflozin on interleukin-23 secretion from peripheral blood mononuclear cells in patients with type 2 diabetes versus healthy subjects: an in vitro study.Molecular biology reports · 2025Article
- Complete Genome and Characterization Analysis of aMicroorganisms · 2025Article
- Association between maternal antibiotic exposure during pregnancy and childhood obesity in the Japan Environment and Children's Study.Pediatric obesity · 2022Article
- Potential Health-Promoting Effects of Two Candidate Probiotics Isolated from Infant Feces Using an Immune-Based Screening Strategy.Nutrients · 2022Article
- Role of the Gut Microbiome in Beta Cell and Adipose Tissue Crosstalk: A Review.Frontiers in endocrinology · 2022Review
- Adipose Tissue Immunomodulation and Treg/Th17 Imbalance in the Impaired Glucose Metabolism of Children with Obesity.Children (Basel, Switzerland) · 2021Review
- Brown Adipose Tissue: New Challenges for Prevention of Childhood Obesity. A Narrative Review.Nutrients · 2021Review
- Isolation and genomic characterization of five novel strains of Erysipelotrichaceae from commercial pigs.BMC microbiology · 2021Article
- Evolutionary concepts in the functional biotics arena: a mini-review.Food science and biotechnology · 2021Review
- Integrated Metagenomics and Metabolomics to Reveal the Effects of Policosanol on Modulating the Gut Microbiota and Lipid Metabolism in Hyperlipidemic C57BL/6 Mice.Frontiers in endocrinology · 2021Article
- Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Obesity epidemic responsible for increase in diabetes, heart diseases, infections and cancer shows no signs of abating. Obesity in children is also on rise, indicating the urgent need of strategies for prevention and intervention that must begin in early life. While originally posited that obesity results from the simple concept of consuming more calories, or genetics, emerging research suggests that the bacteria living in our gut (gut microbiome) and its interactions with immune cells and metabolic organs including adipose tissues (microbiome-immune-metabolic axis) play significant role in obesity development in childhood. Specifically, abnormal changes (dysbiosis) in the gut microbiome, stimulation of inflammatory cytokines, and shifts in the metabolic functions of brown adipose tissue and the browning of white adipose tissue are associated with increased obesity. Many factors from as early as gestation appear to contribute in obesity, such as maternal health, diet, antibiotic use by mother and/or child, and birth and feeding methods. Herein, using evidence from animal and human studies, we discuss how these factors impact microbiome-immune-metabolic axis and cause obesity epidemic in children, and describe the gaps in knowledge that are warranted for future research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.