Cargando…

High-Throughput Stool Metaproteomics: Method and Application to Human Specimens

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 h...

Descripción completa

Detalles Bibliográficos
Autores principales: Gonzalez, Carlos G., Wastyk, Hannah C., Topf, Madeline, Gardner, Christopher D., Sonnenburg, Justin L., Elias, Joshua E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329322/
https://www.ncbi.nlm.nih.gov/pubmed/32606025
http://dx.doi.org/10.1128/mSystems.00200-20
_version_ 1783552881557766144
author Gonzalez, Carlos G.
Wastyk, Hannah C.
Topf, Madeline
Gardner, Christopher D.
Sonnenburg, Justin L.
Elias, Joshua E.
author_facet Gonzalez, Carlos G.
Wastyk, Hannah C.
Topf, Madeline
Gardner, Christopher D.
Sonnenburg, Justin L.
Elias, Joshua E.
author_sort Gonzalez, Carlos G.
collection PubMed
description 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. IMPORTANCE Widely available technologies based on DNA sequencing have been used to describe the kinds of microbes that might correlate with health and disease. However, mechanistic insights might be best achieved through careful study of the dynamic proteins at the interface between the foods we eat, our microbes, and ourselves. Mass spectrometry-based proteomics has the potential to revolutionize our understanding of this complex system, but its application to clinical studies has been hampered by low-throughput and laborious experimentation pipelines. In response, we developed SHT-Pro, the first high-throughput pipeline designed to rapidly handle large stool sample sets. With it, a single researcher can process over one hundred stool samples per week for mass spectrometry analysis, conservatively approximately 10× to 100× faster than previous methods, depending on whether isobaric labeling is used or not. Since SHT-Pro is fairly simple to implement using commercially available reagents, it should be easily adaptable to large-scale clinical studies.
format Online
Article
Text
id pubmed-7329322
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-73293222020-07-10 High-Throughput Stool Metaproteomics: Method and Application to Human Specimens Gonzalez, Carlos G. Wastyk, Hannah C. Topf, Madeline Gardner, Christopher D. Sonnenburg, Justin L. Elias, Joshua E. mSystems Research Article 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. IMPORTANCE Widely available technologies based on DNA sequencing have been used to describe the kinds of microbes that might correlate with health and disease. However, mechanistic insights might be best achieved through careful study of the dynamic proteins at the interface between the foods we eat, our microbes, and ourselves. Mass spectrometry-based proteomics has the potential to revolutionize our understanding of this complex system, but its application to clinical studies has been hampered by low-throughput and laborious experimentation pipelines. In response, we developed SHT-Pro, the first high-throughput pipeline designed to rapidly handle large stool sample sets. With it, a single researcher can process over one hundred stool samples per week for mass spectrometry analysis, conservatively approximately 10× to 100× faster than previous methods, depending on whether isobaric labeling is used or not. Since SHT-Pro is fairly simple to implement using commercially available reagents, it should be easily adaptable to large-scale clinical studies. American Society for Microbiology 2020-06-30 /pmc/articles/PMC7329322/ /pubmed/32606025 http://dx.doi.org/10.1128/mSystems.00200-20 Text en Copyright © 2020 Gonzalez et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Gonzalez, Carlos G.
Wastyk, Hannah C.
Topf, Madeline
Gardner, Christopher D.
Sonnenburg, Justin L.
Elias, Joshua E.
High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_full High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_fullStr High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_full_unstemmed High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_short High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_sort high-throughput stool metaproteomics: method and application to human specimens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329322/
https://www.ncbi.nlm.nih.gov/pubmed/32606025
http://dx.doi.org/10.1128/mSystems.00200-20
work_keys_str_mv AT gonzalezcarlosg highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT wastykhannahc highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT topfmadeline highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT gardnerchristopherd highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT sonnenburgjustinl highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT eliasjoshuae highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens