ArticlemSystems2020
High-Throughput Stool Metaproteomics: Method and Application to Human Specimens.
Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Trial
- The microbiologist's guide to metaproteomics.iMeta · 2025Review
- Observational
- metaExpertPro: A Computational Workflow for Metaproteomics Spectral Library Construction and Data-Independent Acquisition Mass Spectrometry Data Analysis.Molecular & cellular proteomics : MCP · 2024Article
- Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics.mSystems · 2024Article
- Metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans.bioRxiv : the preprint server for biology · 2024Article
- Application of enzyme-linked immunosorbent assay to detect antimicrobial peptides in human intestinal lumen.Journal of immunological methods · 2024Article
- RapidAIM 2.0: a high-throughput assay to study functional response of human gut microbiome to xenobiotics.Microbiome research reports · 2024Article
- Efficacy of lyophilised bacteria-rich faecal sediment and supernatant with reduced bacterial count for treating patients withFrontiers in cellular and infection microbiology · 2023Article
- Article
- Establishment and characterization of stable, diverse, fecal-derived in vitro microbial communities that model the intestinal microbiota.Cell host & microbe · 2022Article
- In-Depth Metaproteomics Analysis of Oral Microbiome for Lung Cancer.Research (Washington, D.C.) · 2022Article
- Current Trends in IBD-Development of Mucosal-Based Biomarkers and a Novel Minimally Invasive Recoverable Sampling System.Inflammatory bowel diseases · 2021Article
- Five key aspects of metaproteomics as a tool to understand functional interactions in host-associated microbiomes.PLoS pathogens · 2021Article
- An integrated workflow for enhanced taxonomic and functional coverage of the mouse fecal metaproteome.Gut microbesArticle
- Evaluating live microbiota biobanking using anGut microbesArticle
- Stool multi-omics for the study of host-microbe interactions in inflammatory bowel disease.Gut microbesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Stool-based proteomics is capable of significantly augmenting our understanding of host-gut microbe interactions. However, compared to competing technologies, such as metagenomics and 16S rRNA sequencing, it is underutilized due to its low throughput and the negative impact sample contaminants can have on highly sensitive mass spectrometry equipment. Here, we present a new stool proteomic processing pipeline that addresses these shortcomings in a highly reproducible and quantitative manner. Using this method, 290 samples from a dietary intervention study were processed in approximately 1.5 weeks, largely done by a single researcher. These data indicated a subtle but distinct monotonic increase in the number of significantly altered proteins between study participants on fiber- or fermented food-enriched diets. Lastly, we were able to classify study participants based on their diet-altered proteomic profiles and demonstrated that classification accuracies of up to 89% could be achieved by increasing the number of subjects considered. Taken together, this study represents the first high-throughput proteomic method for processing stool samples in a technically reproducible manner and has the potential to elevate stool-based proteomics as an essential tool for profiling host-gut microbiome interactions in a clinical setting.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.