ArticleMicrobiome2024
In-depth metaproteomics analysis of tongue coating for gastric cancer: a multicenter diagnostic research study.
Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 33 citations in OpenAlex.
- Decoding the cancer microbiome: multi-omics, AI, and translational opportunities.Genome biology · 2026Review
- Tongue-coating microbiome as a predictor of solid tumors: an updated scoping review of clinical studies.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026Article
- The microbiome of host saliva, gastric fluid, and gastric mucosa as accurate diagnostic tools for gastric cancer detection.Journal of translational medicine · 2026Article
- From mouth to muscle: mechanistic and interventional perspectives on the tongue-coating microbiome in sarcopenia.Journal of translational medicine · 2026Review
- The association between tongue features and tongue coating microbiota and gastrointestinal cancer: a systematic review and meta-analysis.Journal of oral microbiology · 2026Review
- Endoscopic and histopathological phenotypes of early gastric neoplasia: toward an integrative host-response framework.Frontiers in oncology · 2026Review
- Machine learning prediction of adverse events during minutes 15-30 of recovery in patients event-free at 15 min after sedated gastrointestinal endoscopy.Frontiers in medicine · 2026Article
- Fusion color space analysis of tongue image characteristics in different stages of metastatic colorectal cancer and three-class model construction.Frontiers in physiology · 2026Article
- A preliminary study of a machine-learning prediction model for lung cancer diagnosis based on routine blood indicators and traditional chinese medicine diagnostic parameters.Frontiers in pharmacology · 2026Article
- The oral-gastric microbial axis in children: salivary signatures as non-invasive biomarkers for pediatric gastritis andFrontiers in cellular and infection microbiology · 2026Review
- Computerized tongue image analysis for non-invasive disease screening: a review.Chinese medicine · 2025Review
- Comparable tongue coating microbiota profiles from a simplified single-swab versus different sampling approaches: A pilot study.Clinical oral investigations · 2025Article
- WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data.BioData mining · 2025Article
- Exploring the genetic determinants of the oral microbiome's role in gastrointestinal cancer risk: Mendelian randomization and genetic correlation analysis in an East Asian population.Discover oncology · 2025Article
- The microbiologist's guide to metaproteomics.iMeta · 2025Review
- Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes.Microbiome · 2025Review
- OSaMPle workflow for salivary metaproteomics analysis reveals dysbiosis in inflammatory bowel disease patients.NPJ biofilms and microbiomes · 2025Article
- Single-cell RNA sequencing revealed cell landscape of tongue dorsal mucosa in rats with gastric intestinal metaplasia.Cell death discovery · 2025Article
- Clinical Response Characteristics of Salivary Proteins in the Management Strategy of Diabetes-Associated Periodontitis.Journal of proteome research · 2025Article
- KRT9 is required for GBP5 suppression of human respiratory syncytial virus.Journal of virology · 2025Article
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur previous study revealed marked differences in tongue images between individuals with gastric cancer and those without gastric cancer. However, the biological mechanism of tongue images as a disease indicator remains unclear. Tongue coating, a major factor in tongue appearance, is the visible layer on the tongue dorsum that provides a vital environment for oral microorganisms. While oral microorganisms are associated with gastric and intestinal diseases, the comprehensive function profiles of oral microbiota remain incompletely understood. Metaproteomics has unique strength in revealing functional profiles of microbiota that aid in comprehending the mechanism behind specific tongue coating formation and its role as an indicator of gastric cancer.
methodsWe employed pressure cycling technology and data-independent acquisition (PCT-DIA) mass spectrometry to extract and identify tongue-coating proteins from 180 gastric cancer patients and 185 non-gastric cancer patients across 5 independent research centers in China. Additionally, we investigated the temporal stability of tongue-coating proteins based on a time-series cohort. Finally, we constructed a machine learning model using the stochastic gradient boosting algorithm to identify individuals at high risk of gastric cancer based on tongue-coating microbial proteins.
resultsWe measured 1432 human-derived proteins and 13,780 microbial proteins from 345 tongue-coating samples. The abundance of tongue-coating proteins exhibited high temporal stability within an individual. Notably, we observed the downregulation of human keratins KRT2 and KRT9 on the tongue surface, as well as the downregulation of ABC transporter COG1136 in microbiota, in gastric cancer patients. This suggests a decline in the defense capacity of the lingual mucosa. Finally, we established a machine learning model that employs 50 microbial proteins of tongue coating to identify individuals at a high risk of gastric cancer, achieving an area under the curve (AUC) of 0.91 in the independent validation cohort.
conclusionsWe characterized the alterations in tongue-coating proteins among gastric cancer patients and constructed a gastric cancer screening model based on microbial-derived tongue-coating proteins. Tongue-coating proteins are shown as a promising indicator for identifying high-risk groups for gastric cancer. Video Abstract.
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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.