Distinct gut microbiota in southeastern African and northern European infants

Study information

Reviewed Marked as Reviewed by Claregrieve1 on 2022/08/31

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

22228076

DOI Digital object identifier for electronic documents.

10.1097/MPG.0b013e318249039c.

URI

https://pubmed.ncbi.nlm.nih.gov/22228076/

Authors

Grześkowiak Ł, Collado MC, Mangani C, Maleta K, Laitinen K, Ashorn P, Isolauri E, Salminen S

Journal

Journal of pediatric gastroenterology and nutrition

Year

2012

BACKGROUND AND OBJECTIVE: The intestinal microbiota composition in infants reflects the early environment. Our objective was to compare the gut microbiota in 6-month-old infants living in rural Malawi with children of the same age living in urban Finland, both being breast-fed and having an age-appropriate diet typical for each area. METHODS: Malawian 6-month-old infants (n=44) were compared with Finnish infants (n=31) of the same age. In both cohorts, infant stool samples were available for microbiota characterization by flow cytometry-fluorescent in situ hybridization and quantitative polymerase chain reaction methods. RESULTS: Bifidobacteria were dominant at 6 months of age in all of the infants, although in greater proportions in Malawian (70.8%) than in Finnish infants (46.8%; P<0.001). Additional distinctions in bacterial group composition comprised Bacteroides-Prevotella (17.2% vs 4.7%; P<0.001) and Clostridium histolyticum (4.4% vs 2.8%; P=0.01), respectively. The species Bifidobacterium adolescentis, Clostridium perfringens, and Staphylococcus aureus were absent in Malawian but detected in Finnish infants. CONCLUSIONS: The gut microbiota of 6-month-old infants in a low-income country differs significantly from that in a high-income country. This may have an effect on both the energy harvest from the diet typifying malnutrition and diarrheal diseases in low-income countries and Western lifestyle diseases in high-income countries.

Experiment 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/08/31

Curated date: 2022/07/13

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1, Peace Sandy

Subjects

Location of subjects: Finland; Malawi

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: Socioeconomic status class,Socioeconomic status,socioeconomic status,socioeconomic factors

Group 0 name Corresponds to the control (unexposed) group for case-control studies: High-Income country (Finland)

Group 1 name Corresponds to the case (exposed) group for case-control studies: Low-income country (Malawi)

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: 44 healthy 6-month-old rural infants from Malawi

Group 0 sample size Number of subjects in the control (unexposed) group: 31

Group 1 sample size Number of subjects in the case (exposed) group: 44

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 6 months

Lab analysis

Sequencing type: WMS

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: RT-qPCR

Statistical Analysis

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

Statistical test: Mann-Whitney (Wilcoxon)

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

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

Signature 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/08/31

Curated date: 2022/07/13

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1

Source: Table 2

Description: Differential microbial abundance between Finnish and Malawian infants

Abundance in Group 1: increased abundance in Low-income country (Malawi)

NCBI	Quality Control	Links
Bifidobacterium bifidum
Bifidobacterium longum
Bifidobacterium

Revision editor(s): Kaluifeanyi101, Claregrieve1

Signature 2

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/08/31

Curated date: 2022/07/13

Curator: Kaluifeanyi101

Revision editor(s): Kaluifeanyi101, Claregrieve1

Source: Table 2

Description: Differential microbial abundance between Finnish and Malawian infants

Abundance in Group 1: decreased abundance in Low-income country (Malawi)

NCBI	Quality Control	Links
Akkermansia muciniphila
Bifidobacterium adolescentis
Bifidobacterium catenulatum
Blautia coccoides
Clostridioides difficile
Clostridium perfringens
Staphylococcus aureus
[Clostridium] leptum

Revision editor(s): Kaluifeanyi101, Claregrieve1