Joint effects of pregnancy, sociocultural, and environmental factors on early life gut microbiome structure and diversity/Experiment 1
Curated date: 2022/06/13
Curator: Kaluifeanyi101
Revision editor(s): Kaluifeanyi101, Lwaldron, WikiWorks, Peace Sandy
Subjects
- Location of subjects
- United States of America
- 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
- Gut microbiome measurement Gut microbiome measurement,gut microbiome measurement
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Neonates (median age = 1.2 months)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Infants (median age = 6.6 months)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Infants (median age: 6.6 months) children from a Detroit-based birth cohort
- Group 0 sample size Number of subjects in the control (unexposed) group
- 130
- Group 1 sample size Number of subjects in the case (exposed) group
- 168
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- NIL
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- raw counts
- Statistical test
- Zero-Inflated Negative Binomial Regression
- 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)?
- Yes
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, household income, breast feeding, delivery procedure, education level, marital status, smoking status
Alpha Diversity
- Pielou Quantifies how equal the community is numerically
- increased
- Richness Number of species
- increased
Signature 1
Source: FIGURE 5 , FIGURE 6
Description: Top genera are significantly associated with each factor retained in multi-factor neonatal gut microbiome composition models. For plotting purposes, “top” genera for each factor were defined using two characteristics: (1) the number of taxa significantly associated with it (to avoid spurious findings) and (2) how “discriminatory” the genera was, defined by consistency in the direction of taxa-specific associations. Each factor displays up to the top ten genera that best discriminated each factor, given the genera had at least 5 significant taxa. Abbreviations: ETS, environmental tobacco smoke; NSV, neonatal study visit at 1-month of age.
Top genera significantly associated with each factor retained in multi-factor models of infant gut microbiome composition. For plotting purposes, “top” genera for each factor were defined using two characteristics: (1) the number of taxa significantly associated with it (to avoid spurious findings) and (2) how “discriminatory” the genera was, defined by consistency in the direction of taxa-specific associations. Each factor displays up to the top ten genera that best discriminated each factor, given the genera had at least 5 significant taxa. Abbreviations: BMI, body mass index; ISV, infant study visit at 6-months of age.
Abundance in Group 1: increased abundance in Infants (median age = 6.6 months)
Revision editor(s): Kaluifeanyi101, Peace Sandy
Signature 2
Source: FIGURE 5 , FIGURE 6
Description: Top genera are significantly associated with each factor retained in multi-factor neonatal gut microbiome composition models. For plotting purposes, “top” genera for each factor were defined using two characteristics: (1) the number of taxa significantly associated with it (to avoid spurious findings) and (2) how “discriminatory” the genera was, defined by consistency in the direction of taxa-specific associations. Each factor displays up to the top ten genera that best discriminated each factor, given the genera had at least 5 significant taxa. Abbreviations: ETS, environmental tobacco smoke; NSV, neonatal study visit at 1-month of age.
Top genera significantly associated with each factor retained in multi-factor models of infant gut microbiome composition. For plotting purposes, “top” genera for each factor were defined using two characteristics: (1) the number of taxa significantly associated with it (to avoid spurious findings) and (2) how “discriminatory” the genera was, defined by consistency in the direction of taxa-specific associations. Each factor displays up to the top ten genera that best discriminated each factor, given the genera had at least 5 significant taxa. Abbreviations: BMI, body mass index; ISV, infant study visit at 6-months of age.
Abundance in Group 1: decreased abundance in Infants (median age = 6.6 months)
Revision editor(s): Kaluifeanyi101, Peace Sandy
