Air pollution during the winter period and respiratory tract microbial imbalance in a healthy young population in Northeastern China/Experiment 1
From BugSigDB
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Subjects
- Location of subjects
- China
- 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
- Throat Gula,Throat,throat
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Air pollution air pollution,Air pollution
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- lightly poluuted region (A)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- moderately polluted region (B)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- paticipants lived in any of those regions for more than 2 years. region A: (lightly polluted region of PM 2.5), region B: (moderately polluted region of PM 2.5) and region C: (heavily polluted region of PM 2.5)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 35
- Group 1 sample size Number of subjects in the case (exposed) group
- 40
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 3 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3
- 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).
- 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
- Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment
- age, body height, body weight, vital capacity, sex
Signature 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Figure 3, 4, 5, 6
Description: Abundance analysis of the dominant bacterial taxa of A (lightly polluted region of PM 2.5), B (moderately polluted region of PM 2.5) and C (heavily polluted region of PM 2.5)
Abundance in Group 1: increased abundance in moderately polluted region (B)
Revision editor(s): WikiWorks
Signature 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Figure 3, 4, 5, 6
Description: Abundance analysis of the dominant bacterial taxa of A (lightly polluted region of PM 2.5), B (moderately polluted region of PM 2.5) and C (heavily polluted region of PM 2.5)
Abundance in Group 1: decreased abundance in moderately polluted region (B)
