{"doi":"10.1021/pr900344m","title":"Individual Human Phenotypes in Metabolic Space and Time","abstract":null,"journal":"Journal of Proteome Research","year":2009,"id":591756,"datarank":5.161163554592362,"base_score":4.997212273764115,"endowment":4.997212273764115,"self_citation_contribution":0.7495818410646173,"citation_network_contribution":4.411581713527745,"self_endowment_contribution":0.7495818410646173,"citer_contribution":4.411581713527745,"corpus_percentile":null,"corpus_rank":null,"citation_count":147,"citer_count":94,"citers_with_citation_signal":87,"citers_with_endowment":87,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1514141,"name":"Ivano Bertini","orcid":null,"position":1,"is_corresponding":false},{"id":72950,"name":"Claudio Luchinat","orcid":"0000-0003-2271-8921","position":2,"is_corresponding":false},{"id":1514143,"name":"Stefano Nepi","orcid":null,"position":3,"is_corresponding":false},{"id":1514144,"name":"Edoardo Saccenti","orcid":null,"position":4,"is_corresponding":false},{"id":812717,"name":"Hartmut Schäfer","orcid":null,"position":5,"is_corresponding":false},{"id":1514145,"name":"Birk Schütz","orcid":null,"position":6,"is_corresponding":false},{"id":812720,"name":"Manfred Spraul","orcid":null,"position":7,"is_corresponding":false},{"id":72936,"name":"Leonardo Tenori","orcid":"0000-0001-6438-059X","position":8,"is_corresponding":false},{"id":1514139,"name":"Patrizia Bernini","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Individual Human Phenotypes in Metabolic Space and Time","abstract":"Differences between individual phenotypes are due both to differences in genotype and to exposure to different environmental factors. A fundamental contribution to the definition of the individual phenotype for clinical and therapeutic applications would come from a deeper understanding of the metabolic phenotype. The existence of unique individual metabolic phenotypes has been hypothesized, but the experimental evidence has been only recently collected. Analysis of individual phenotypes over the timescale of years shows that the metabolic phenotypes are largely invariant. The present work also supports the idea that the individual metabolic phenotype can also be considered a metagenomic entity that is strongly affected by both gut microbiome and host metabolic phenotype, the latter defined by both genetic and environmental contributions.","is_dataset_classified":null,"base_score":4.997212273764115,"endowment":4.997212273764115,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19527021","pmcid":null,"openalex_id":"https://openalex.org/W2088351705","authors":[],"funders":[],"total_grants":0,"fwci":4.4554,"citation_percentile":0.95347489,"influential_citations":0,"citation_trend":[{"year":2012,"count":8},{"year":2013,"count":9},{"year":2014,"count":11},{"year":2015,"count":12},{"year":2016,"count":17},{"year":2017,"count":7},{"year":2018,"count":10},{"year":2019,"count":7},{"year":2020,"count":12},{"year":2021,"count":4},{"year":2022,"count":10},{"year":2023,"count":7},{"year":2024,"count":5},{"year":2025,"count":2},{"year":2026,"count":1}],"oa_status":"green","license":"other-oa","oa_locations":[{"url":"https://research.wur.nl/en/publications/individual-human-phenotypes-in-metabolic-space-and-time","host_type":"repository"},{"url":"https://research.wur.nl/en/publications/individual-human-phenotypes-in-metabolic-space-and-time","host_type":"repository"},{"url":"https://pubs.acs.org/doi/pdf/10.1021/pr900344m","host_type":"publisher"},{"url":"https://doi.org/10.1021/pr900344m","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/19527021","host_type":"repository"},{"url":"http://hdl.handle.net/2158/368646","host_type":"repository"}],"fields_of_study":["Gut microbiota and health","Metabolomics and Mass Spectrometry Studies","Microbial Metabolic Engineering and Bioproduction"],"mesh_terms":["Adult","Female","Humans","Male","Middle Aged","Peptide Mapping","Phenotype","Proteins","Proteinuria","Time Factors","Nuclear Magnetic Resonance, Biomolecular","Principal Component Analysis","Metabolomics"],"keywords":["Phenotype","Biology","Metabolic pathway","Computational biology","Genetics","Microbiome","Clinical phenotype","Evolutionary biology","Gene"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T10:35:02.577502Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}