Alterations to the Gut Microbiota and Their Correlation With Inflammatory Factors in Chronic Kidney 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
Li F, Wang M, Wang J, Li R, Zhang Y
Journal
Frontiers in cellular and infection microbiology
Year
2019
Keywords:
16S rDNA deep sequencing, Akkermansia, chronic kidney disease, gut microbiota, inflammatory factors
Alterations to the gut microbiota have been previously suggested to be tightly linked to chronic systemic inflammation, which is a major contributing factor to complications and disease progression in chronic kidney disease (CKD). Nevertheless, the effect of gut dysbiosis on the pathogenesis and/or production of inflammatory factors in CKD has not been extensively studied to date. In the present study, we conducted 16S ribosomal DNA pyrosequencing using fecal microbiota samples and analyzed the production of serum inflammatory factors in 50 patients with CKD and 22 healthy control (HC) subjects. The results revealed that compared to the HC subjects, patients with CKD exhibited a significant reduction in the richness and structure of their fecal microbiota. At the phylum level, compared to the HC group, patients with CKD also presented reduced abundance of Actinobacteria but increased abundance of Verrucomicrobia. Moreover, the genera Lactobacillus, Clostridium IV, Paraprevotella, Clostridium sensu stricto, Desulfovibrio, and Alloprevotella were enriched in the fecal samples of patients with CKD, while Akkermansia and Parasutterella were enriched in those of the HC subjects. The abundance of Akkermansia in the CKD group was significantly lower than that in the HC group (3.08 vs. 0.67%); this decrease in the abundance of Akkermansia, an important probiotic, in patients with CKD is a striking discovery as it has not been previously reported. Finally, we analyzed whether these changes to the fecal microbiota correlated with CKD clinical characteristics and/or the production of known inflammatory factors. Altered levels of the microbiota genera Parasutterella, Lactobacillus, Paraprevotella, Clostridium sensu stricto, and Desulfovibrio were shown to be correlated with CKD disease-severity indicators, including the estimated glomerular filtration rate. Most notably, Akkermansia was significantly negatively correlated with the production of interleukin-10. The results of the present study suggest that microbiota dysbiosis may promote chronic systemic inflammation in CKD. Furthermore, they support that modifying the gut microbiota, especially Akkermansia, may be a promising potential therapeutic strategy to attenuate the progression of, and/or systemic inflammation in, CKD.
Experiment 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/3
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
- 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
- Chronic kidney disease chronic kidney disease,chronic kidney failure,Chronic Kidney Insufficiencies,Chronic Kidney Insufficiency,chronic renal disease,Chronic Renal Failure,chronic renal failure syndrome,Chronic Renal Insufficiencies,chronic renal insufficiency,CKD,CKD - chronic kidney disease,Disease, End-Stage Kidney,Disease, End-Stage Renal,END STAGE KIDNEY DIS,End Stage Kidney Disease,END STAGE RENAL DIS,End Stage Renal Disease,End-Stage Kidney Disease,End-Stage Renal Disease,End-Stage Renal Failure,ESRD,kidney disease, chronic,Kidney Disease, End-Stage,Kidney Failure, Chronic,Kidney Insufficiencies, Chronic,Kidney Insufficiency, Chronic,RENAL DIS END STAGE,Renal Disease, End Stage,Renal Disease, End-Stage,renal failure - chronic,Renal Failure, Chronic,Renal Failure, End Stage,Renal Failure, End-Stage,Renal Insufficiencies, Chronic,Renal Insufficiency, Chronic,Chronic kidney disease
- 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
- chronic kidney disease patients
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- individuals diagnosed with chronic kidney disease because they exhibited an effective glomerular filtration rate of <60mL/min for a 3 month period
- Group 0 sample size Number of subjects in the control (unexposed) group
- 22
- Group 1 sample size Number of subjects in the case (exposed) group
- 50
- 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-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
- LEfSe
- 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
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- unchanged
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- unchanged
Signature 1
Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/3
Source: Figure 2a
Description: Taxonomic differences in fecal microbiota exhibited by patients with chronic kidney disease compared with healthy controls
Abundance in Group 1: increased abundance in chronic kidney disease patients
Revision editor(s): Claregrieve1, WikiWorks
Signature 2
Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/3
Curated date: 2021/01/10
Curator: Fatima Zohra
Revision editor(s): Lwaldron, Claregrieve1, WikiWorks
Source: Figure 2a
Description: Taxonomic differences in fecal microbiota exhibited by patients with chronic kidney disease compared with healthy controls
Abundance in Group 1: decreased abundance in chronic kidney disease patients
Revision editor(s): Lwaldron, Claregrieve1, WikiWorks
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