Dysbiosis of the Saliva Microbiome in Patients With Polycystic Ovary Syndrome

From BugSigDB
Needs review
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Li N, Li Y, Qian C, Liu Q, Cao W, Ma M, He R, Chen R, Geng R, Liu Y
Journal
Frontiers in cellular and infection microbiology
Year
2020
Keywords:
16S rRNA, diurnal rhythm, fecal microbiota, polycystic ovary syndrome, salivary microbiome
Significant differences in salivary microbiota communities between polycystic ovary syndrome (PCOS) patients and healthy controls have been reported, and interestingly, some salivary microbiota exhibit diurnal oscillation in healthy people. However, whether the diurnal oscillation of salivary microbiota is present in PCOS patients is unknown. In this study, we describe the differences in the saliva microbiome between the PCOS group and the control group at different time points over 24 h. 16S rRNA gene amplicon sequencing was performed on salivary and fecal samples from 10 PCOS patients and 10 healthy controls, and salivary samples were collected at 6-h intervals over 24 h (Zeitgeber (ZT)0, ZT6, ZT12, and ZT18). Among the salivary samples, those from the PCOS group showed significant differences from those of the control group at each time point. Differences were evident in taxa level and metabolic pathways. Interestingly, we found that PCOS disrupted the diurnal rhythm of the salivary microbiota abundance, as determined in the group of healthy women. In addition, no similar changes were found in PCOS patients and controls between the oral and fecal microbiota, including differential microbiota at the phylum level. In this study, significant differences in the composition of the salivary microbiota between PCOS and healthy women were detected at different time points. We also showed that the diurnal rhythm of relative abundance of the salivary microbiota was disrupted in patients with PCOS, which might be related to development of oral-related diseases and systematic metabolic disorders.

Experiment 1


Needs review

Curated date: 2024/04/19

Curator: Idiaru angela

Revision editor(s): Idiaru angela

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
Saliva Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva,saliva
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Polycystic ovary syndrome Cystic disease of ovaries,hyperandrogenemia,Multicystic ovaries,multicystic ovaries,Ovarian Degeneration, Sclerocystic,Ovarian Syndrome, Polycystic,Ovarian Syndromes, Polycystic,Ovaries, Sclerocystic,Ovary Syndrome, Polycystic,Ovary, Sclerocystic,PCO - Polycystic ovaries,Pco1,PCOD - Polycystic ovarian disease,PCOS,Pcos,PCOS - Polycystic ovarian syndrome,PCOS1,Polycystic ovarian disease,polycystic ovarian disease,Polycystic ovarian syndrome,Polycystic ovaries,polycystic ovaries,Polycystic ovaries (disorder),polycystic ovary,polycystic ovary syndrome,polycystic ovary syndrome 1,Sclerocystic Ovarian Degeneration,Sclerocystic Ovaries,Sclerocystic Ovary,Sclerocystic Ovary Syndrome,Stein Leventhal Syndrome,Stein-Leventhal synd.,Stein-Leventhal Syndrome,Stein-Leventhal syndrome,Syndrome, Polycystic Ovary,Syndrome, Stein-Leventhal,Polycystic ovary syndrome
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy control at Zeitgeber (ZT) 0
Group 1 name Corresponds to the case (exposed) group for case-control studies
PCOS patients at Zeitgeber (ZT) 0
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Samples collected from patients with Polycystic Ovary Syndrome who were diagnosed according to the Rotterdam Criteria, who met two out of three of the following criteria: clinical/biochemical hyperandrogenism, oligo-/anovulation, and polycystic ovaries at Zeitgeber (ZT) 0
Group 0 sample size Number of subjects in the control (unexposed) group
10
Group 1 sample size Number of subjects in the case (exposed) group
10
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
use of antibiotics within 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)?
No
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
4
Matched on Factors on which subjects have been matched on in a case-control study
body mass index, age, Matched on: "metabolic factors" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.metabolic factors

Alpha Diversity

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

Signature 1

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3A

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT0 vs. PCOS.ZT0

Abundance in Group 1: increased abundance in PCOS patients at Zeitgeber (ZT) 0

NCBI Quality ControlLinks
Fusobacterium
Fusobacteriaceae
Fusobacterium periodonticum
Candidatus Gracilibacteria
unclassified Candidatus Gracilibacteria
SR1 bacterium oral taxon 875
SR1 bacterium human oral taxon HOT-345

Revision editor(s): Idiaru angela

Signature 2

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3A

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT0 vs. PCOS.ZT0

Abundance in Group 1: decreased abundance in PCOS patients at Zeitgeber (ZT) 0

NCBI Quality ControlLinks
Actinomycetota
Leptotrichia
Prevotella histicola

Revision editor(s): Idiaru angela

Experiment 2


Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy control at Zeitgeber (ZT) 6
Group 1 name Corresponds to the case (exposed) group for case-control studies
PCOS patients at Zeitgeber (ZT) 6
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Samples collected from patients with Polycystic Ovary Syndrome who were diagnosed according to the Rotterdam Criteria, who met two out of three of the following criteria: clinical/biochemical hyperandrogenism, oligo-/anovulation, and polycystic ovaries at Zeitgeber (ZT) 6

Lab analysis

Statistical Analysis

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

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3B

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT6 vs. PCOS.ZT6

Abundance in Group 1: increased abundance in PCOS patients at Zeitgeber (ZT) 6

NCBI Quality ControlLinks
Fusobacteriaceae
Fusobacteriales
Fusobacteriia
Fusobacteriota
Fusobacterium
Fusobacterium periodonticum
SR1 bacterium oral taxon 875

Revision editor(s): Idiaru angela

Experiment 3


Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy control at Zeitgeber (ZT) 12
Group 1 name Corresponds to the case (exposed) group for case-control studies
PCOS patients at Zeitgeber (ZT) 12
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Samples collected from patients with Polycystic Ovary Syndrome who were diagnosed according to the Rotterdam Criteria, who met two out of three of the following criteria: clinical/biochemical hyperandrogenism, oligo-/anovulation, and polycystic ovaries at Zeitgeber (ZT) 12

Lab analysis

Statistical Analysis

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

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3C

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT12 vs. PCOS.ZT12

Abundance in Group 1: increased abundance in PCOS patients at Zeitgeber (ZT) 12

NCBI Quality ControlLinks
Fusobacterium
Fusobacteriaceae
Fusobacterium periodonticum

Revision editor(s): Idiaru angela

Signature 2

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3C

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT12 vs. PCOS.ZT12

Abundance in Group 1: decreased abundance in PCOS patients at Zeitgeber (ZT) 12

NCBI Quality ControlLinks
Leptotrichia
Prevotella histicola

Revision editor(s): Idiaru angela

Experiment 4


Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Differences from previous experiment shown

Subjects

Group 0 name Corresponds to the control (unexposed) group for case-control studies
Healthy control at Zeitgeber (ZT) 18
Group 1 name Corresponds to the case (exposed) group for case-control studies
PCOS patients at Zeitgeber (ZT) 18
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Samples collected from patients with Polycystic Ovary Syndrome who were diagnosed according to the Rotterdam Criteria, who met two out of three of the following criteria: clinical/biochemical hyperandrogenism, oligo-/anovulation, and polycystic ovaries at Zeitgeber (ZT) 18

Lab analysis

Statistical Analysis

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

Needs review

Curated date: 2024/04/20

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3D

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT18 vs. PCOS.ZT18

Abundance in Group 1: increased abundance in PCOS patients at Zeitgeber (ZT) 18

NCBI Quality ControlLinks
SR1 bacterium oral taxon 875
Fusobacterium
Fusobacteriaceae
Fusobacterium periodonticum
Eubacteriales
Clostridia
Flavobacteriales
Oscillospiraceae
Candidatus Gracilibacteria
unclassified Candidatus Gracilibacteria

Revision editor(s): Idiaru angela

Signature 2

Needs review

Curated date: 2024/04/21

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Figure 3D

Description: Identification of specific bacterial taxa in PCOS patients and controls at different time points. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biomarkers with significant differences between the two groups: Control.ZT18 vs. PCOS.ZT18

Abundance in Group 1: decreased abundance in PCOS patients at Zeitgeber (ZT) 18

NCBI Quality ControlLinks
Neisseria flava
unclassified Cyanobacteriota
Cyanobacteriota
Leptotrichiaceae
Leptotrichia
Prevotella histicola
unclassified Prevotellaceae

Revision editor(s): Idiaru angela

Experiment 5


Needs review

Curated date: 2024/04/21

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Differences from previous experiment shown

Subjects

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
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
PCOS Patients
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
PCOS patients who were diagnosed according to the Rotterdam Criteria, who met two out of three of the following criteria: clinical/biochemical hyperandrogenism, oligo-/anovulation, and polycystic ovaries

Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged

Signature 1

Needs review

Curated date: 2024/04/21

Curator: Idiaru angela

Revision editor(s): Idiaru angela

Source: Supplemental Figure 5E

Description: The microbiota that showed significant differences between the two groups as analysed by LEfSe with an LDA score threshold of 4.0.

Abundance in Group 1: decreased abundance in PCOS Patients

NCBI Quality ControlLinks
Blautia
Streptococcus
Streptococcaceae
Streptococcus thermophilus
Bifidobacterium adolescentis

Revision editor(s): Idiaru angela