Evidence map›Paper›PMID 37655344›Full record

ArticleFrontiers in microbiology2023

Salivary and fecal microbiota: potential new biomarkers for early screening of colorectal polyps.

Limin Zhang, Ziying Feng, Yinghua Li, Cuiting Lv, Chunchun Li, Yue Hu, Mingsheng Fu, Liang Song

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In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Causal Relationship Between Gut Microbiota and Gastrointestinal Polyps: A Mendelian Randomization Study.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Limin ZhangDepartment of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Ziying FengDepartment of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Yinghua LiCentral Laboratory, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Cuiting LvCentral Laboratory, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Chunchun LiDepartment of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Yue HuDepartment of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Mingsheng FuDepartment of Gastroenterology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Liang SongDepartment of Stomatology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of CRC-associated microbes. Multiple studies have identified gut and fecal microbiome-derived biomarkers for precursors lesions of CRC detection. However, few studies have used salivary samples to predict colorectal polyps. Therefore, in order to find new noninvasive colorectal polyp biomarkers, we searched into the differences in fecal and salivary microbiota between patients with colorectal polyps and healthy controls. Methods: In this case-control study, we collected salivary and fecal samples from 33 patients with colorectal polyps (CP) and 22 healthy controls (HC) between May 2021 and November 2022. All samples were sequenced using full-length 16S rRNA sequencing and compared with the Nucleotide Sequence Database. The salivary and fecal microbiota signature of colorectal polyps was established by alpha and beta diversity, Linear discriminant analysis Effect Size (LEfSe) and random forest model analysis. In addition, the possibility of microbiota in identifying colorectal polyps was assessed by Receiver Operating Characteristic Curve (ROC). Results: In comparison to the HC group, the CP group's microbial diversity increased in saliva and decreased in feces ( Conclusion: The composition and diversity of the salivary and fecal microbiota were significantly different in colorectal polyp patients compared to healthy controls, with an increased abundance of harmful bacteria and a decreased abundance of beneficial bacteria. A promising non-invasive tool for the detection of colorectal polyps can be provided by potential biomarkers based on the microbiota of the saliva and feces.

Indexed as

biomarkercolorectal polypfecal microbiotafull-length 16S rRNA sequencingsalivary microbiota

Identifiers

PMID37655344
PMCPMC10467446

What Socratic holds

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Registered trials

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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 Socratic graph.