Dysbiosis and Implication of the Gut Microbiota in Diabetic Retinopathy

From BugSigDB
Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-15
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Huang Y, Wang Z, Ma H, Ji S, Chen Z, Cui Z, Chen J, Tang S
Journal
Frontiers in cellular and infection microbiology
Year
2021
Keywords:
16S rRNA gene sequence, diabetes mellitus, diabetic retinopathy, gut microbiota, human
The pathogenesis of type 2 diabetes mellitus (T2DM) is commonly associated with altered gut bacteria. However, whether the microbial dysbiosis that exists in human diabetic patients with or without retinopathy is different remains largely unknown. Here, we collected clinical information and fecal samples from 75 participants, including 25 diabetic patients without retinopathy (DM), 25 diabetic patients with retinopathy (DR), and 25 healthy controls (HC). The gut microbial composition in the three groups was analyzed using 16S ribosomal RNA (rRNA) gene sequencing. Microbial structure and composition differed in the three groups. The α and β diversities in both the DM and DR groups were reduced compared with those in the HC group. Blautia was the most abundant genus, especially in the DM group. In addition, increased levels of Bifidobacterium and Lactobacillus and decreased levels of Escherichia-Shigella, Faecalibacterium, Eubacterium_hallii_group and Clostridium genera were observed in the DM and DR groups compared with the HC group. Furthermore, a biomarker set of 25 bacterial families, which could distinguish patients in the DR group from those in the DM and HC groups was identified, with the area under the curve values ranging from 0.69 to 0.85. Of note, Pasteurellaceae, which was increased in DM and decreased in DR compared with HC, generated a high AUC (0.74) as an individual predictive biomarker. Moreover, 14 family biomarkers were associated with fasting blood glucose levels or diabetes, with most of them being negatively correlated. In summary, our study establishes compositional alterations of gut microbiota in DM and DR, suggesting the potential use of gut microbiota as a non-invasive biomarker for clinical and differential diagnosis, as well as identifying potential therapeutic targets of diabetic retinopathy.

Experiment 1


Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-15

Curated date: 2023/10/29

Curator: Chinelsy

Revision editor(s): Chinelsy, Peace Sandy, ChiomaBlessing

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
Retinopathy eye disease of retina,retina eye disease,retinal disease,retinopathy,Retinopathy
Group 0 name Corresponds to the control (unexposed) group for case-control studies
healthy controls (HC)
Group 1 name Corresponds to the case (exposed) group for case-control studies
diabetes mellitus (DM)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants who identify as diabetic patients without retinopathy (DM)
Group 0 sample size Number of subjects in the control (unexposed) group
25
Group 1 sample size Number of subjects in the case (exposed) group
25
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
1 month

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
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
2.5
Matched on Factors on which subjects have been matched on in a case-control study
age, body mass index, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
decreased
Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
decreased

Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-15

Curated date: 2023/10/29

Curator: Chinelsy

Revision editor(s): Chinelsy, ChiomaBlessing

Source: Fig.4

Description: Relative abundance of the bacterial community in diabetic patients without retinopathy (DM) and healthy controls (HC)

Abundance in Group 1: increased abundance in diabetes mellitus (DM)

NCBI Quality ControlLinks
Haemophilus
Megasphaera
Parabacteroides
Pasteurellaceae
Pasteurellales
Streptococcaceae
Tannerellaceae
Veillonella
unclassified Bacilli

Revision editor(s): Chinelsy, ChiomaBlessing

Experiment 2


Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-15

Curated date: 2023/10/29

Curator: Chinelsy

Revision editor(s): Chinelsy, ChiomaBlessing

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
diabetes mellitus (DM)
Group 1 name Corresponds to the case (exposed) group for case-control studies
diabetes retinopathy (DR)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Participants who identify as diabetic patients with retinopathy (DR)

Lab analysis

Statistical Analysis

Statistical test
Kruskall-Wallis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Chao1 Abundance-based estimator of species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-18

Curated date: 2023/12/18

Curator: ChiomaBlessing

Revision editor(s): ChiomaBlessing

Source: Supplemental. Table S6

Description: Relative abundance between diabetes retinopathy and diabetes mellitus based on the biomarker families correlated with fasting blood sugar (FBG) and duration of type 2 diabetes (T2Dyear)

Abundance in Group 1: decreased abundance in diabetes retinopathy (DR)

NCBI Quality ControlLinks
Pasteurellaceae

Revision editor(s): ChiomaBlessing

Signature 2

Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-18

Curated date: 2023/12/18

Curator: ChiomaBlessing

Revision editor(s): ChiomaBlessing

Source: Supplemental. Table S6

Description: Relative abundance between diabetes retinopathy and diabetes mellitus based on the biomarker families correlated with fasting blood sugar (FBG) and duration of type 2 diabetes (T2Dyear)

Abundance in Group 1: increased abundance in diabetes retinopathy (DR)

NCBI Quality ControlLinks
UCG-010UCG-010

Revision editor(s): ChiomaBlessing

Experiment 3


Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-15

Curated date: 2023/10/29

Curator: Chinelsy

Revision editor(s): Chinelsy, ChiomaBlessing

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
healthy controls (HC)

Lab analysis

Statistical Analysis

Statistical test
LEfSe

Alpha Diversity

Inverse Simpson Modification of Simpsons index D as 1/D to obtain high values in datasets of high diversity and vice versa
decreased

Signature 1

Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-18

Curated date: 2023/10/30

Curator: Chinelsy

Revision editor(s): Chinelsy, MyleeeA, ChiomaBlessing

Source: Fig.4

Description: Relative abundance of the bacterial community in diabetic patients with retinopathy (DR) compared to healthy controls (HC)

Abundance in Group 1: increased abundance in diabetes retinopathy (DR)

NCBI Quality ControlLinks
Acidaminococcaceae
Acidaminococcales
Acidaminococcus
Anaerovoracaceae
Christensenellaceae
Christensenellales
Eubacteriales
Eubacterium
Lactobacillaceae
Oscillospiraceae
Sphingomonadaceae
Sphingomonadales
Weissella
[Eubacterium] brachy
unclassified Peptococcaceae
unclassified Sphingomonadaceae
Lachnospiraceae_FCS020_groupLachnospiraceae_FCS020_group
UCG_002UCG_002

Revision editor(s): Chinelsy, MyleeeA, ChiomaBlessing