Gut microbiota varies by opioid use, circulating leptin and oxytocin in African American men with diabetes and high burden of chronic disease
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Barengolts E, Green SJ, Eisenberg Y, Akbar A, Reddivari B, Layden BT, Dugas L, Chlipala G
Journal
PloS one
Year
2018
OBJECTIVE: The gut microbiota is known to be related to type 2 diabetes (T2D), psychiatric conditions, and opioid use. In this study, we tested the hypothesis that variability in gut microbiota in T2D is associated with psycho-metabolic health. METHODS: A cross-sectional study was conducted among African American men (AAM) (n = 99) that were outpatients at a Chicago VA Medical Center. The main outcome measures included fecal microbiota ecology (by 16S rRNA gene sequencing), psychiatric disorders including opioid use, and circulating leptin and oxytocin as representative hormone biomarkers for obesity and psychological pro-social behavior. RESULTS: The study subjects had prevalent overweight/obesity (78%), T2D (50%) and co-morbid psychiatric (65%) and opioid use (45%) disorders. In the analysis of microbiota, the data showed interactions of opioids, T2D and metformin with Bifidobacterium and Prevotella genera. The differential analysis of Bifidobacterium stratified by opioids, T2D and metformin, showed significant interactions among these factors indicating that the effect of one factor was changed by the other (FDR-adjusted p [q] < 0.01). In addition, the pair-wise comparison showed that participants with T2D not taking metformin had a significant 6.74 log2 fold increase in Bifidobacterium in opioid users as compared to non-users (q = 2.2 x 10-8). Since metformin was not included in this pair-wise comparison, the significant 'q' suggested association of opioid use with Bifidobacterium abundance. The differences in Bifidobacterium abundance could possibly be explained by opioids acting as organic cation transporter 1 (OCT1) inhibitors. Analysis stratified by lower and higher leptin and oxytocin (divided by the 50th percentile) in the subgroup without T2D showed lower Dialister in High-Leptin vs. Low-Leptin (p = 0.03). Contrary, the opposite was shown for oxytocin, higher Dialister in High-Oxytocin vs. Low-Oxytocin (p = 0.04). CONCLUSIONS: The study demonstrated for the first time that Bifidobacterium and Prevotella abundance was affected by interactions of T2D, metformin and opioid use. Also, in subjects without T2D Dialister abundance varied according to circulating leptin and oxytocin.
Experiment 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
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
- Type II diabetes mellitus adult onset diabetes,Adult-Onset Diabetes,adult-onset diabetes,Adult-Onset Diabetes Mellitus,diabetes mellitis type 2,diabetes mellitis type II,DIABETES MELLITUS TYPE 02,diabetes mellitus type 2,Diabetes Mellitus, Adult Onset,Diabetes Mellitus, Adult-Onset,Diabetes Mellitus, Ketosis Resistant,Diabetes Mellitus, Ketosis-Resistant,Diabetes Mellitus, Maturity Onset,Diabetes Mellitus, Maturity-Onset,Diabetes Mellitus, Non Insulin Dependent,Diabetes Mellitus, Non-Insulin-Dependent,Diabetes Mellitus, Noninsulin Dependent,diabetes mellitus, noninsulin-dependent,Diabetes Mellitus, Slow Onset,Diabetes Mellitus, Slow-Onset,Diabetes Mellitus, Stable,Diabetes Mellitus, Type 2,diabetes mellitus, type 2,diabetes mellitus, type 2, protection against,Diabetes Mellitus, Type II,Diabetes, Type 2,diabetes, type 2,insulin resistance, susceptibility to,Ketosis-Resistant Diabetes Mellitus,Maturity Onset Diabetes Mellitus,maturity-onset diabetes,Maturity-Onset Diabetes Mellitus,MODY,NIDDM,Non-Insulin Dependent Diabetes,non-insulin dependent diabetes,Non-Insulin Dependent Diabetes Mellitus,non-insulin dependent diabetes mellitus,non-insulin-dependent diabetes mellitus,noninsulin dependent diabetes,noninsulin-dependent diabetes mellitus,Slow-Onset Diabetes Mellitus,Stable Diabetes Mellitus,T2DM - Type 2 Diabetes mellitus,T2DM - type 2 diabetes mellitus,Type 2 Diabetes,type 2 diabetes,Type 2 Diabetes Mellitus,type 2 diabetes mellitus,Type 2 Diabetes Mellitus Non-Insulin Dependent,type 2 diabetes mellitus non-insulin dependent,Type II Diabetes,type II diabetes,type II diabetes mellitus,Type II diabetes mellitus
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Metaformin negative among Opoid negative
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Metaformin positive
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Opioid use was defined as “Yes” if during review of medical record two parameters were present: 1) the participant was under care of psychiatric care professional, and 2) psychiatric care professional established the diagnosis of opioid use disorder as official diagnosis in medical record
- Group 0 sample size Number of subjects in the control (unexposed) group
- 34
- Group 1 sample size Number of subjects in the case (exposed) group
- 21
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3-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).
- 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)?
- Yes
Signature 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: increased abundance in Metaformin positive
| NCBI | Quality Control | Links |
|---|---|---|
| Bifidobacterium |
Revision editor(s): WikiWorks
Signature 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: decreased abundance in Metaformin positive
| NCBI | Quality Control | Links |
|---|---|---|
| Bacteroides caccae |
Revision editor(s): WikiWorks
Experiment 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Differences from previous experiment shown
Subjects
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Metaformin negative among Opoid positive
- 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
- 9
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: increased abundance in Metaformin positive
| NCBI | Quality Control | Links |
|---|---|---|
| Prevotella |
Revision editor(s): WikiWorks
Signature 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: decreased abundance in Metaformin positive
| NCBI | Quality Control | Links |
|---|---|---|
| Bifidobacterium |
Revision editor(s): WikiWorks
Experiment 3
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Differences from previous experiment shown
Subjects
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- opoid negative among Metaformin negative
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Opoid positive
- Group 0 sample size Number of subjects in the control (unexposed) group
- 34
- Group 1 sample size Number of subjects in the case (exposed) group
- 35
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: increased abundance in Opoid positive
| NCBI | Quality Control | Links |
|---|---|---|
| Bifidobacterium |
Revision editor(s): WikiWorks
Signature 2
Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09
Source: Table 4
Description: the interactive influence of metformin and opioids on gut microbiota in the subgroup with diabetes.
Abundance in Group 1: decreased abundance in Opoid positive
| NCBI | Quality Control | Links |
|---|---|---|
| Prevotella |
Revision editor(s): WikiWorks
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