Alterations in the gut microbiota and metabolite profiles of thyroid carcinoma patients

Study information

Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/1

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

30565661

DOI Digital object identifier for electronic documents.

10.1002/ijc.32007

URI

Authors

Feng J, Zhao F, Sun J, Lin B, Zhao L, Liu Y, Jin Y, Li S, Li A, Wei Y

Journal

International journal of cancer

Year

2019

Keywords:

clinical parameter, gut microbiota, metabolite, predictive model, thyroid carcinoma

The aim of our study was to investigate the relationship among the gut microbiota community, metabolite profiles and thyroid carcinoma (TC). First, 30 TC patients and 35 healthy controls (HCs) fecal samples were applied to characterize the gut microbial community using 16S rRNA gene sequencing. Differential microbiota compositions were observed, with significant enrichment of 19 and depletion of 8 genera in TC samples compared to those in HCs (Q value <0.05), and some genera were correlated with various clinical parameters, such as lipoprotein A and apolipoprotein B. Furthermore, 6 different genera distinguished TC patients from HCs with the AUC of 0.94. The PICRUSt analysis showed 12 remarkably different metabolic pathways (Q value <0.05). Subsequently, we systematically analyzed the gut microbiota and metabolites in the same TC patients (n = 15) and HCs (n = 15). The characteristics of the gut microbiota community were mostly consistent with the above results (30 TC patients and 35 HCs), and liquid chromatography mass spectrometry analysis was performed to characterize the metabolite profiles. In total, 21 different genera (Q value <0.05) and 72 significantly changed metabolites (VIP > 1.0 and p < 0.05) were observed and correlated to each other. Eight metabolites combined with 5 genera were more effective in distinguishing TC patients from HCs (AUC = 0.97). In conclusion, our study presents a comprehensive landscape of the gut microbiota and metabolites in TC patients, and provides a research direction of the mechanism of interaction between gut microbiota alteration and TC pathogenesis.

Experiment 1

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Curated date: 2021/01/10

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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: Thyroid carcinoma cancer of the thyroid,cancer of thyroid,carcinoma of the thyroid,carcinoma of the thyroid gland,carcinoma of thyroid,carcinoma of thyroid gland,head and neck cancer, thyroid,thyroid cancer,thyroid carcinoma,thyroid gland cancer,thyroid gland carcinoma,Thyroid carcinoma

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: patients with thyroid carcinoma

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: at least one solid lesion identified by thyroid ultrasonagraphy

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: 30

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: 3

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: increased

Chao1 Abundance-based estimator of species richness: increased

Richness Number of species: increased

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/1

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): Claregrieve1, WikiWorks

Source: Figure 2a

Description: Differential microbial abundance between healthy controls and thyroid carcinoma patients

Abundance in Group 1: increased abundance in patients with thyroid carcinoma

NCBI	Quality Control	Links
Anaerobutyricum hallii
Anaerostipes
Candidatus Bathyarchaeota
Christensenellaceae
Coprococcus
Enterobacteriaceae
Erysipelotrichaceae
Escherichia
Eubacterium coprostanoligenes
Eubacterium ruminantium
Bacillota
Intestinibacter
Klebsiella
Lactobacillaceae
Lactobacillus
Peptostreptococcaceae
Pseudomonadota
Rikenellaceae
Shigella
Streptococcaceae
Streptococcus
Subdoligranulum
Turicibacter
Clostridium sp. 001
Lactococcus
Lachnospiraceae bacterium ND3006
Alistipes

Revision editor(s): Claregrieve1, WikiWorks

Signature 2

Edit History Delete

Flag for review

Your review change was submitted

Reviewed Marked as Reviewed by Claregrieve1 on 2022/07/1

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): Lwaldron, Claregrieve1, WikiWorks

Source: Figure 2a

Description: Differential microbial abundance between healthy controls and thyroid carcinoma patients

Abundance in Group 1: decreased abundance in patients with thyroid carcinoma

NCBI	Quality Control	Links
Acidaminococcaceae
Alloprevotella
Bacteroidaceae
Bacteroides
Bacteroidota
Lachnoclostridium
Megamonas
Phascolarctobacterium
Prevotella
Prevotellaceae
Roseburia
Mediterraneibacter gnavus
Lachnospiraceae

Revision editor(s): Lwaldron, Claregrieve1, WikiWorks