Exploring the Relevance between Gut Microbiota-Metabolites Profile and Chronic Kidney Disease with Distinct Pathogenic Factor

From BugSigDB
Reviewed Marked as Reviewed by Svetlana up on 2024-4-7
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Chen TH, Cheng CY, Huang CK, Ho YH, Lin JC
Journal
Microbiology spectrum
Year
2023
Keywords:
chronic kidney disease, diabetes mellitus, fecal metabolite, gut microbiota, hypertension
The intimate correlation of chronic kidney disease (CKD) with structural alteration in gut microbiota or metabolite profile has been documented in a growing body of studies. Nevertheless, a paucity of demonstrated knowledge regarding the impact and underlying mechanism of gut microbiota or metabolite on occurrence or progression of CKD is unclarified thus far. In this study, a liquid chromatography coupled-mass spectrometry and long-read sequencing were applied to identify gut metabolites and microbiome with statistically-discriminative abundance in diabetic CKD patients (n = 39), hypertensive CKD patients (n = 26), or CKD patients without comorbidity (n = 40) compared to those of healthy participants (n = 60). The association between CKD-related species and metabolite was evaluated by using zero-inflated negative binomial (ZINB) regression. The predictive utility of identified operational taxonomic units (OTUs), metabolite, or species-metabolite association toward the diagnosis of incident chronic kidney disease with distinct pathogenic factor was assessed using the random forest regression model and the receiver operating characteristic (ROC) curve. The results of statistical analyses indicated alterations in the relative abundances of 26 OTUs and 41 metabolites that were specifically relevant to each CKD-patient group. The random forest regression model with only species, metabolites, or its association differentially distinguished the hypertensive, diabetic CKD patients, or enrolled CKD patients without comorbidity from the healthy participants. IMPORTANCE Gut dysbiosis-altered metabolite association exhibits specific and convincing utility to differentiate CKD associated with distinct pathogenic factor. These results present the validity of pathogenesis-associated markers across healthy participants and high-risk population toward the early screening, prevention, diagnosis, or personalized treatment of CKD.

Experiment 1


Reviewed Marked as Reviewed by Svetlana up on 2024-4-7

Curated date: 2024/03/16

Curator: PreciousMike

Revision editor(s): PreciousMike, Svetlana up

Subjects

Location of subjects
Taiwan
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
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Chronic kidney disease patients
Group 0 sample size Number of subjects in the control (unexposed) group
60
Group 1 sample size Number of subjects in the case (exposed) group
105

Lab analysis

Sequencing type
16S
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
Nanopore

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)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
3

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 Svetlana up on 2024-4-7

Curated date: 2024/03/21

Curator: PreciousMike

Revision editor(s): PreciousMike, Ayibatari

Source: Figure 3

Description: Classification of operational taxonomy unit (OTU) with long-read sequencing in healthy participants and enrolled CKD patients.

Abundance in Group 1: increased abundance in Chronic Kidney Disease

NCBI Quality ControlLinks
Bacteroides stercoris
Escherichia marmotae
Fusobacterium mortiferum
Limosilactobacillus mucosae
Streptococcus pasteurianus
Subdoligranulum variabile
Culturomica massiliensis

Revision editor(s): PreciousMike, Ayibatari

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2024-4-7

Curated date: 2024/03/21

Curator: PreciousMike

Revision editor(s): PreciousMike, Ayibatari

Source: Figure 3

Description: Classification of operational taxonomy unit (OTU) with long-read sequencing in healthy participants and enrolled CKD patients.

Abundance in Group 1: decreased abundance in Chronic Kidney Disease

NCBI Quality ControlLinks
Anaerostipes hadrus
Selenomonas ruminantium
Mitsuokella jalaludinii
Megasphaera indica

Revision editor(s): PreciousMike, Ayibatari

Experiment 2


Reviewed Marked as Reviewed by Svetlana up on 2024-4-7

Curated date: 2024/03/23

Curator: PreciousMike

Revision editor(s): PreciousMike, Svetlana up

Differences from previous experiment shown

Subjects

Group 1 name Corresponds to the case (exposed) group for case-control studies
NC-CKD
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Chronic kidney disease patients without comorbidities
Group 1 sample size Number of subjects in the case (exposed) group
40

Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased

Experiment 3


Reviewed Marked as Reviewed by Svetlana up on 2024-4-7

Curated date: 2024/03/23

Curator: PreciousMike

Revision editor(s): PreciousMike, Svetlana up

Differences from previous experiment shown

Subjects

Group 1 name Corresponds to the case (exposed) group for case-control studies
H-CKD
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Hypertensive chronic kidney disease patients
Group 1 sample size Number of subjects in the case (exposed) group
26

Lab analysis

Statistical Analysis

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

Experiment 4


Reviewed Marked as Reviewed by Svetlana up on 2024-4-7

Curated date: 2024/03/23

Curator: PreciousMike

Revision editor(s): PreciousMike, Svetlana up

Differences from previous experiment shown

Subjects

Group 1 name Corresponds to the case (exposed) group for case-control studies
D-CKD
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Diabetic chronic kidney disease patients
Group 1 sample size Number of subjects in the case (exposed) group
39

Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased
Simpson Estimator of species richness and species evenness: more weight on species evenness
increased