Gut microbiota and overweight in 3-year old children.

Body Mass Index Child, Preschool Cross-Sectional Studies Female Follow-Up Studies Gastrointestinal Microbiome / immunology Humans Male Overweight / immunology Pediatric Obesity / immunology

Journal

International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108

Informations de publication

Date de publication:
04 2019
Historique:
received: 16 03 2018
accepted: 30 11 2018
revised: 31 10 2018
pubmed: 21 12 2018
medline: 12 3 2020
entrez: 21 12 2018
Statut: ppublish

Résumé

The gut microbiota has been associated with overweight and obesity in adults, but the evidence in children is limited. Our aim was to study whether composition of the gut microbiota at the age of 3 years is associated with overweight/obesity in children cross-sectionally. Children, who participated in a clinical trial of prenatal vitamin-D supplementation (VDAART), underwent standardized height and weight measurements, and collection of stool samples at 3 years of age. 16 S rRNA sequencing (V4 region) of the stool samples were performed with Illumina MiSeq. Associations between microbiota and overweight/obesity (body mass index z-scores >85th percentile) was analyzed using logistic regression. Out of 502 children, 146 (29%) were categorized as overweight/obese. Maternal pre-pregnancy BMI, birth weight and length, formula feeding during the first year, high frequency of fast food consumption, and time watching TV or computer screen at 3 years were the risk factors for overweight/obesity. Of the top 20 most abundant genera, high relative abundance of Parabacteroidetes (Bacteroidetes; Bacteroidales) (aOR(95% CI): 0.69 (0.53, 0.90, p = 0.007) per interquartile increase) and unassigned genus within Peptostreptococcae family were inversely associated with overweight/obesity, whereas high relative abundance of Dorea (Firmicutes;Clostridiales) (1.23 (1.05, 1.43, p = 0.009)) was positively associated. Associations were independent of each other. No associations were found between diversity indices and overweight/obesity. Our data suggest that some of the differences in gut composition of bacteria between obese and non-obese adults can already be observed in 3-year old children. Longitudinal studies will be needed to determine long-term effects.

Sections du résumé

BACKGROUND
The gut microbiota has been associated with overweight and obesity in adults, but the evidence in children is limited. Our aim was to study whether composition of the gut microbiota at the age of 3 years is associated with overweight/obesity in children cross-sectionally.
METHODS
Children, who participated in a clinical trial of prenatal vitamin-D supplementation (VDAART), underwent standardized height and weight measurements, and collection of stool samples at 3 years of age. 16 S rRNA sequencing (V4 region) of the stool samples were performed with Illumina MiSeq. Associations between microbiota and overweight/obesity (body mass index z-scores >85th percentile) was analyzed using logistic regression.
RESULTS
Out of 502 children, 146 (29%) were categorized as overweight/obese. Maternal pre-pregnancy BMI, birth weight and length, formula feeding during the first year, high frequency of fast food consumption, and time watching TV or computer screen at 3 years were the risk factors for overweight/obesity. Of the top 20 most abundant genera, high relative abundance of Parabacteroidetes (Bacteroidetes; Bacteroidales) (aOR(95% CI): 0.69 (0.53, 0.90, p = 0.007) per interquartile increase) and unassigned genus within Peptostreptococcae family were inversely associated with overweight/obesity, whereas high relative abundance of Dorea (Firmicutes;Clostridiales) (1.23 (1.05, 1.43, p = 0.009)) was positively associated. Associations were independent of each other. No associations were found between diversity indices and overweight/obesity.
CONCLUSIONS
Our data suggest that some of the differences in gut composition of bacteria between obese and non-obese adults can already be observed in 3-year old children. Longitudinal studies will be needed to determine long-term effects.

Identifiants

DOI: 10.1038/s41366-018-0290-z PMID: 30568265 PMC: PMC6457121
pubmed: 30568265
doi: 10.1038/s41366-018-0290-z
pii: 10.1038/s41366-018-0290-z
pmc: PMC6457121
mid: NIHMS1515784
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

713-723

Subventions

Organisme : NHLBI NIH HHS
ID : U01 HL091528
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL091528
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL091075
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL108818
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL101390
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023268
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001430
Pays : United States

Références

Environ Microbiol. 2017 Jan;19(1):95-105
pubmed: 27450202
Microbiome. 2015 Aug 26;3:36
pubmed: 26306392
Child Obes. 2017 Feb;13(1):78-84
pubmed: 27007700
Curr Gastroenterol Rep. 2010 Aug;12(4):280-7
pubmed: 20563673
Clin Microbiol Infect. 2013 Apr;19(4):305-13
pubmed: 23452229
Int J Environ Res Public Health. 2014 Dec 23;12(1):162-75
pubmed: 25546278
Nutr Diabetes. 2011 Jul 18;1:e12
pubmed: 23154580
Rev Infect Dis. 1990 Jan-Feb;12 Suppl 2:S133-41
pubmed: 2406867
Nature. 2009 Jan 22;457(7228):480-4
pubmed: 19043404
Br J Nutr. 2010 Feb;103(3):335-8
pubmed: 19849869
JAMA Pediatr. 2018 Jul 2;172(7):e181161
pubmed: 29868719
PLoS One. 2009 Sep 23;4(9):e7125
pubmed: 19774074
Int J Obes (Lond). 2015 Apr;39(4):665-70
pubmed: 25298276
FEBS Lett. 2014 Nov 17;588(22):4223-33
pubmed: 25307765
PLoS One. 2015 Jul 31;10(7):e0134333
pubmed: 26230509
Diabetes. 2010 Dec;59(12):3049-57
pubmed: 20876719
ISME J. 2013 Apr;7(4):707-17
pubmed: 23190729
J Obes. 2018 Jun 10;2018:3490651
pubmed: 29983998
Obesity (Silver Spring). 2010 Jan;18(1):190-5
pubmed: 19498350
Br J Nutr. 2010 Jul;104(1):83-92
pubmed: 20205964
Int J Food Sci Nutr. 2016 Jun;67(4):470-8
pubmed: 27018166
JAMA. 2016 Jan 26;315(4):362-70
pubmed: 26813209
Obesity (Silver Spring). 2013 Dec;21(12):E607-15
pubmed: 23526699
Lancet. 2014 Aug 30;384(9945):766-81
pubmed: 24880830
Am J Respir Cell Mol Biol. 2016 May;54(5):609-17
pubmed: 26949916
Genome Med. 2016 Apr 20;8(1):42
pubmed: 27098727
J Nutr Educ Behav. 2018 Nov - Dec;50(10):968-976
pubmed: 29954715
Gut Pathog. 2013 Apr 30;5(1):10
pubmed: 23631345
J Allergy Clin Immunol. 2017 Feb;139(2):482-491.e14
pubmed: 27746239
Diabetes. 2007 Jul;56(7):1761-72
pubmed: 17456850
Nutr Res. 2018 Feb;50:25-36
pubmed: 29540269
Nutr Clin Pract. 2015 Dec;30(6):787-97
pubmed: 26452391
Pediatr Diabetes. 2016 Nov;17(7):469-477
pubmed: 27484959
BMC Gastroenterol. 2015 Aug 11;15:100
pubmed: 26261039
J Biosci. 2012 Sep;37(4):647-57
pubmed: 22922190
Contemp Clin Trials. 2014 May;38(1):37-50
pubmed: 24614387
Nat Biotechnol. 2013 Sep;31(9):814-21
pubmed: 23975157
Eur J Clin Nutr. 2017 Jul;71(7):904-912
pubmed: 28402325
BMC Public Health. 2017 Aug 29;17(1):683
pubmed: 28851330
Obesity (Silver Spring). 2012 Nov;20(11):2257-61
pubmed: 22546742
BMJ Open. 2014 Dec 08;4(12):e005813
pubmed: 25488096
Pediatrics. 2017 Jun;139(6):
pubmed: 28814549
Environ Microbiol. 2013 Jan;15(1):211-26
pubmed: 22891823
Nature. 2016 Jul 06;535(7610):56-64
pubmed: 27383980
Int J Obes (Lond). 2013 Nov;37(11):1460-6
pubmed: 23459324
Science. 2005 Jun 10;308(5728):1635-8
pubmed: 15831718
Int J Obes (Lond). 2018 Apr;42(4):594-602
pubmed: 28883541

Auteurs

Anne M Karvonen (AM)

Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland. anne.karvonen@thl.fi.
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. anne.karvonen@thl.fi.
ORCID: 0000-0003-2257-2934

Joanne E Sordillo (JE)

Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Diane R Gold (DR)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Leonard B Bacharier (LB)

Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Washington University School of Medicine and St. Louis Children's Hospital, St. Louis, MO, USA.

George T O'Connor (GT)

Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.

Robert S Zeiger (RS)

Department of Allergy and Department of Research and Evaluation, Kaiser Permanente Southern California, San Diego and Pasadena, San Diego, CA, USA.

Avraham Beigelman (A)

Division of Pediatric Allergy, Immunology and Pulmonary Medicine, Department of Pediatrics, Washington University School of Medicine and St. Louis Children's Hospital, St. Louis, MO, USA.

Scott T Weiss (ST)

Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Augusto A Litonjua (AA)

Division of Pediatric Pulmonary Medicine, Department of Pediatrics, Golisano Children's Hospital at Strong, University of Rochester Medical Center, Rochester, New York, NY, USA.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Mesures épidémiologiques › Biométrie › Anthropométrie › Indice de masse corporelle › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Personnes › Tranches d'âge › Enfant › Enfant d'âge préscolaire › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études de suivi › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Biodiversité › Biote › Microbiote › Microbiome gastro-intestinal › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › Phénomènes physiologiques › Constitution physique › Apparence corporelle › Surpoids › Gut microbiota and overweight in 3-year old children.
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Obésité › Obésité pédiatrique › Gut microbiota and overweight in 3-year old children.