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

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 contamina...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Carlos G. Gonzalez, Hannah C. Wastyk, Madeline Topf, Christopher D. Gardner, Justin L. Sonnenburg, Joshua E. Elias
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://doaj.org/article/a1129286bbcc4160b7450732b5bb03bb
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:a1129286bbcc4160b7450732b5bb03bb
record_format dspace
spelling oai:doaj.org-article:a1129286bbcc4160b7450732b5bb03bb2021-12-02T19:46:20ZHigh-Throughput Stool Metaproteomics: Method and Application to Human Specimens10.1128/mSystems.00200-202379-5077https://doaj.org/article/a1129286bbcc4160b7450732b5bb03bb2020-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00200-20https://doaj.org/toc/2379-5077ABSTRACT 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.Carlos G. GonzalezHannah C. WastykMadeline TopfChristopher D. GardnerJustin L. SonnenburgJoshua E. EliasAmerican Society for Microbiologyarticledietfermentedfiberhigh-throughputmass spectrometrymetaproteomicsMicrobiologyQR1-502ENmSystems, Vol 5, Iss 3 (2020)
institution DOAJ
collection DOAJ
language EN
topic diet
fermented
fiber
high-throughput
mass spectrometry
metaproteomics
Microbiology
QR1-502
spellingShingle diet
fermented
fiber
high-throughput
mass spectrometry
metaproteomics
Microbiology
QR1-502
Carlos G. Gonzalez
Hannah C. Wastyk
Madeline Topf
Christopher D. Gardner
Justin L. Sonnenburg
Joshua E. Elias
High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
description 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. 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 article
author Carlos G. Gonzalez
Hannah C. Wastyk
Madeline Topf
Christopher D. Gardner
Justin L. Sonnenburg
Joshua E. Elias
author_facet Carlos G. Gonzalez
Hannah C. Wastyk
Madeline Topf
Christopher D. Gardner
Justin L. Sonnenburg
Joshua E. Elias
author_sort Carlos G. Gonzalez
title High-Throughput Stool Metaproteomics: Method and Application to Human Specimens
title_short 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_sort high-throughput stool metaproteomics: method and application to human specimens
publisher American Society for Microbiology
publishDate 2020
url https://doaj.org/article/a1129286bbcc4160b7450732b5bb03bb
work_keys_str_mv AT carlosggonzalez highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT hannahcwastyk highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT madelinetopf highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT christopherdgardner highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT justinlsonnenburg highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
AT joshuaeelias highthroughputstoolmetaproteomicsmethodandapplicationtohumanspecimens
_version_ 1718375980130631680