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Metaproteomics of stool samples collected from free-eating individual for diet prediction

ABSTRACT: Assessment of diet currently relies on self-reporting, such as food logs, 24 hour recalls and food frequency questionnaires. Self-reporting of diet is inaccurate due to memory lapses, lying and biased language. A molecular-based approach to assess diet would allow accurate reporting of diet for researchers, medical professionals and patients. We performed metaproteomic analysis of five human stool samples collected from a free-eating individual over five consecutive days (25Jun18-29Jun18). The free-eating individual maintained a food log during the sample collection period. We used these samples to develop a molecular-based approach for assessing diet.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Fungi Metazoa (animals) Homo Sapiens (human) Bacteria Viridiplantae

SUBMITTER: Alexandria Bartlett

LAB HEAD: Manuel Kleiner

PROVIDER: PXD029334 | Pride | 2024-12-23

REPOSITORIES: Pride

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Dataset's files

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			Action	DRS
	Database_RealisticFoods_Human_Microbiota_AB006V2.1.fasta	Fasta
	DietaryDB_SequenceDownloadInformation_BeforeClustering_RealisticFoods.txt	Txt
	File_Sample_DescriptionTable.xlsx	Xlsx
	HH1.msf	Msf
	HH1.raw	Raw

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Metaproteomics of human stool samples for diet assessment

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