Evidence map›Paper›PMID 41152727›Full record

ArticleBMC microbiology2025

Characterization of microbiota dysbiosis in papillary thyroid carcinoma and benign thyroid nodules: low abundance of intestinal butyrate-producing bacteria.

Liang Chen, Changwen Wang, Hua Zhang, Yijun Wu, Fuqiang Li, Haiyan Shi, Zhigang Ren, Yanfei Chen, Jinyan Huang, Danyang Zhao and 3 more

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Liang Chen *Department of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Changwen Wang *Department of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Hua ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Yijun WuDepartment of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Fuqiang LiDepartment of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Haiyan ShiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Zhigang RenDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Yanfei ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Jinyan HuangBiomedical Big Data Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Danyang ZhaoBiomedical Big Data Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Jun PanDepartment of Thyroid Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Haifeng LuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China. seawindlu@126.com.
Shusen ZhengDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China. shusenzheng@zju.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC3602000the National Natural Science Foundation of China 81874038the Research Project of Jinan Microecological Biomedicine Shandong Laboratory JNL-2022001A
6 · The paper itself

Abstract

backgroundThe thyroid-gut axis refers to the intricate relationships among the gut, intestinal microbiota, and thyroid gland, and it is speculated to play an important role in the development of thyroid diseases. The aim of this study was to identify the differentiated bacteria in the intestinal microbiota associated with papillary thyroid carcinoma (PTC) and benign thyroid nodules (BTNs) to offer potential avenues for further exploration and therapeutic interventions.

methodsFaecal microbiotas of 197 subjects (73 from subjects with BTNs, 62 from subjects with PTC, and 62 from sex- and age-matched controls) were characterized by sequencing the V3-V4 region of 16 S rDNA using the Illumina NovaSeq 6000 platform. Microbiomics and machine learning-assisted approaches were used to identify the PTC-/BTN-associated intestinal microbial indicators.

resultsCompared with the abundance of coabundant groups (CAGs) in the PTC, BTN, and control groups, the abundance of two Genus-CAGs consisting of butyrate producers, such as Blautia, Lachnoclostridium, Lachnospiraceae_unclassified, Eisenbergiella, Flavonifractor and Hungatella, was lower in the PTC group than in the control group. In particular, both ANCOM-BC2 and Wilcoxon rank-sum test results consistently demonstrated significant enrichment of the butyrate-producing genera Oscillibacter, Coprobacter, and Colidextribacter in both BTN patients and healthy controls. The majority of discriminatory amplicon sequence variants (ASVs) that could discriminate PTCs from controls, as well as from BTNs, were from Prevotella, Streptococcus, Bacteroides, and butyrate-producing groups, such as the Oscillibacter, Lachnospiraceae, and Christensenellaceae (R7) groups. ASV indicators from Prevotella and Streptococcus were most abundant in the PTC group, and those from Bacteroides and the butyrate-producing/-promoting group were least abundant in the PTC group. Additionally, the ASVs that could discriminate the BTN group from the control group, as well as PTC group included other butyrate-producing groups, the Clostridium_sensu_stricto group, and the Eubacterium_siraeum group.

conclusionsThis study demonstrates that dysbiosis linked to thyroid nodules is marked by a substantial decline in intestinal butyrate-producing and butyrate-promoting taxa. Future work to confirm these results should include shotgun metagenomic sequencing paired with quantitative analyses of gene abundance and expression to fully ascertain the functional implications.

Indexed as

ButyratesDysbiosisGastrointestinal MicrobiomeThyroid Cancer, PapillaryThyroid NoduleAdultBacteriaChinaFemaleHumansMaleMiddle AgedPhylogenyButyrates16S rRNA gene sequencingBenign thyroid nodulesButyrateIntestinal microbiotaPapillary thyroid carcinoma

Identifiers

PMID41152727
PMCPMC12570714

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.