Intestinal microbiome as a risk factor for urinary tract infections in children

Study information

Reviewed Marked as Reviewed by Atrayees on 2023-7-10

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

30006660

DOI Digital object identifier for electronic documents.

10.1007/s10096-018-3322-7

URI

Authors

Paalanne N, Husso A, Salo J, Pieviläinen O, Tejesvi MV, Koivusaari P, Pirttilä AM, Pokka T, Mattila S, Jyrkäs J, Turpeinen A, Uhari M, Renko M, Tapiainen T

Journal

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

Year

2018

As urinary tract infection (UTI) pathogens originate from the gut, we hypothesized that the gut environment reflected by intestinal microbiome influences the risk of UTI. Our prospective case-control study compared the intestinal microbiomes of 37 children with a febrile UTI with those of 69 healthy children. We sequenced the regions of the bacterial 16S rRNA gene and used the LefSe algorithm to calculate the size of the linear discriminant analysis (LDA) effect. We measured fecal lactoferrin and iron concentrations and quantitative PCR for Escherichia coli. At the phylum level, there were no significant differences. At the genus level, Enterobacter was more abundant in UTI patients with an LDA score > 3 (log 10), while Peptostreptococcaceae were more abundant in healthy subjects with an LDA score > 3 (log 10). In total, 20 OTUs with significantly different abundances were observed. Previous use of antimicrobials did not associate with intestinal microbiome. The relative abundance of E. coli was 1.9% in UTI patients and 0.5% in controls (95% CI of the difference-0.8 to 3.6%). The mean concentration of E.coli in quantitative PCR was 0.14 ng/μl in the patients and 0.08 ng/μl in the controls (95% CI of the difference-0.04 to 0.16). Fecal iron and lactoferrin concentrations were similar between the groups. At the family and genus level, we noted several differences in the intestinal microbiome between children with UTI and healthy children, which may imply that the gut environment is linked with the risk of UTI in children.

Experiment 1

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Reviewed Marked as Reviewed by Atrayees on 2023-7-10

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): LGeistlinger, Chloe, WikiWorks, Atrayees

Subjects

Location of subjects: Finland

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Urinary tract infection INFECTION, URINARY TRACT,TRACT, INFECTION OF URINARY,urinary tract infection,urinary tract infection (disease),Urinary tract infection

Group 0 name Corresponds to the control (unexposed) group for case-control studies: healthy controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: urinary tract infection

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: urinary tract infection

Group 0 sample size Number of subjects in the control (unexposed) group: 69

Group 1 sample size Number of subjects in the case (exposed) group: 37

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4-V5

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Ion Torrent

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 3

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: No

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 3

Matched on Factors on which subjects have been matched on in a case-control study: age, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Chao1 Abundance-based estimator of species richness: unchanged

Signature 1

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Reviewed Marked as Reviewed by Atrayees on 2023-7-10

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 2

Description: Comaprison between UTI patients and Health controls using linear discriminant analysis

Abundance in Group 1: increased abundance in urinary tract infection

NCBI	Quality Control	Links
Enterobacter
Holdemania massiliensis
Priestia flexa
Enterocloster asparagiformis
Enterococcus dispar
Blautia glucerasea

Revision editor(s): WikiWorks

Signature 2

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Reviewed Marked as Reviewed by Atrayees on 2023-7-10

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): Fatima, WikiWorks

Source: Figure 2

Description: Comaprison between UTI patients and Health controls using linear discriminant analysis

Abundance in Group 1: decreased abundance in urinary tract infection

NCBI	Quality Control	Links
Clostridium tertium
Dialister
Finegoldia
Finegoldia magna
Haemophilus
Haemophilus parainfluenzae
Massilia
Oxalobacteraceae
Pasteurellaceae
Pasteurellales
Peptostreptococcaceae
Hoylesella timonensis
Massilia aurea
Romboutsia lituseburensis

Revision editor(s): Fatima, WikiWorks