Metaproteomics reveals persistent and phylum-redundant metabolic functional stability in adult human gut microbiomes of Crohn’s remission patients despite temporal variations in microbial taxa, genomes, and proteomes
Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflamma...
Uložené v:
| Vydané v: | Microbiome Ročník 7; číslo 1; s. 18 - 15 |
|---|---|
| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
BioMed Central
11.02.2019
BioMed Central Ltd Springer Nature B.V BMC |
| Predmet: | |
| ISSN: | 2049-2618, 2049-2618 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Background
The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn’s disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn’s disease. Overall, this suggests that microbial
membership composition
may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the
functional
composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn’s disease patients’ post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition.
Results
The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products.
Conclusions
The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of
conserved metabolic functions
across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome’s metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. |
|---|---|
| AbstractList | The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn’s disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn’s disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn’s disease patients’ post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. Results The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. Conclusions The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome’s metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. Abstract Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn’s disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn’s disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn’s disease patients’ post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. Results The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. Conclusions The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome’s metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. Background The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. Results The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. Conclusions The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. Keywords: Gut microbiome, Metaproteomics, Crohn's disease, Longitudinal analyses, Microbial metabolic function, Human microbiome Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In dysbiotic conditions, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans, and possibly even more in individuals with gut disease conditions such as Crohn’s Disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines the metaproteomes measured in five Crohn’s-diseased patients’ post-resection surgery across five time points over the course of one year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be highly variable due to the gut disease condition. Results The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. Conclusions The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phylabut is not always observable in the same sample. Finally, the gut microbiome’s metabolism is not driven by a set of discrete linear pathways, but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn’s disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn’s disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn’s disease patients’ post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition. Results The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products. Conclusions The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome’s metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition.BACKGROUNDThe gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition.The measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products.RESULTSThe measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products.The human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways.CONCLUSIONSThe human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways. |
| ArticleNumber | 18 |
| Audience | Academic |
| Author | Xiong, Weili Adams, Rachel Fraser, Claire M. Blakeley-Ruiz, J. Alfredo Cantarel, Brandi L. Hettich, Robert L. Erickson, Alison R. Jansson, Janet K. |
| Author_xml | – sequence: 1 givenname: J. Alfredo surname: Blakeley-Ruiz fullname: Blakeley-Ruiz, J. Alfredo organization: Chemical Sciences Division, Oak Ridge National Laboratory, Graduate School of Genome Science & Technology, University of Tennessee – sequence: 2 givenname: Alison R. surname: Erickson fullname: Erickson, Alison R. organization: Chemical Sciences Division, Oak Ridge National Laboratory, Current address: Harvard Medical School, Cell Biology – sequence: 3 givenname: Brandi L. surname: Cantarel fullname: Cantarel, Brandi L. organization: Institute for Genome Sciences, University of Maryland School of Medicine, Current address: Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center – sequence: 4 givenname: Weili surname: Xiong fullname: Xiong, Weili organization: Chemical Sciences Division, Oak Ridge National Laboratory, Current address: U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition – sequence: 5 givenname: Rachel surname: Adams fullname: Adams, Rachel organization: Chemical Sciences Division, Oak Ridge National Laboratory – sequence: 6 givenname: Janet K. surname: Jansson fullname: Jansson, Janet K. organization: Biological Sciences Division, Pacific Northwest National Lab – sequence: 7 givenname: Claire M. surname: Fraser fullname: Fraser, Claire M. organization: Institute for Genome Sciences, University of Maryland School of Medicine, Department of Medicine, University of Maryland School of Medicine – sequence: 8 givenname: Robert L. orcidid: 0000-0001-7708-786X surname: Hettich fullname: Hettich, Robert L. email: hettichrl@ornl.gov organization: Chemical Sciences Division, Oak Ridge National Laboratory, Graduate School of Genome Science & Technology, University of Tennessee |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30744677$$D View this record in MEDLINE/PubMed https://www.osti.gov/servlets/purl/1495989$$D View this record in Osti.gov |
| BookMark | eNp9U8tu1TAQjVARLaUfwAZZsAGpKfF1YicbpKriUakIicfacuy597pK7NR2qnbHb_BrLPkSJk1peysgWcSanHNm5njmcbblvIMse0qLA0pr_jqWBeV1XtAmLzijef0g21kUZZMvOK237py3s70YTwt8GlqKsn6UbbNClCUXYif7-RGSGoJP4HurIwlwDqqLZIAQbUzgElHOkGF92Y19HsCMzigM9khrfWc1WY5OJ-ud6kjEmO1suiTWEWXGLpH12CtHViMyrA6-tb6HSPySHAW_dr--_5hS9jZGVCCDShYzRmIgDjYBSdAPPqDyuQpWTVniJH0thfGkLtQ-WYGbZPfnUudmID7JHi6xFdi7_u5m3969_Xr0IT_59P746PAk15yXKYeKq6bRArioGaOsrRc1KFVRZhgsTaV5WVQArDWqNFALIyiIRdPyBmm0EWw3O551jVencgi2V-FSemXlVcCHlVQhWd2BpC3QVtPGUNGUNfKZaCtqjEDpqlwUqPVm1hrGtgej0Q1sf0N084-za7ny55IzQTmdink-C_iYrIwaXdRr7Z0DnSQtm6qpGwS9vM4S_NkIMUm8AQ1dpxz4McoFzhctK1HUCH1xD3rqx4CXfYViRckbwW9RK4VdWrf0WJyeROVhVVPGGasrRB38BYWvwQnAGmFpMb5BeLVBQEyCi7RSY4zy-MvnTeyzu87dWPZn1BFAZwDOTowBljcQWshpo-S8URI3Sk4bJafuxT0OGno1h1i57f7LXMzMiFncCsKtb_8m_QYN0jmC |
| CitedBy_id | crossref_primary_10_1016_j_csbj_2021_12_012 crossref_primary_10_3390_microorganisms11020318 crossref_primary_10_1002_imt2_70031 crossref_primary_10_3389_fnut_2022_910785 crossref_primary_10_1128_Spectrum_01877_21 crossref_primary_10_1007_s00439_020_02237_0 crossref_primary_10_1007_s10620_020_06091_y crossref_primary_10_1021_acsestwater_5c00272 crossref_primary_10_1093_ibd_izz242 crossref_primary_10_1016_j_watres_2023_120700 crossref_primary_10_1093_femsre_fuaf037 crossref_primary_10_1128_msystems_00835_22 crossref_primary_10_1016_j_jprot_2019_04_009 crossref_primary_10_3390_antibiotics13040317 crossref_primary_10_3390_microorganisms13040794 crossref_primary_10_3389_fonc_2020_01032 crossref_primary_10_1093_ismejo_wraf048 crossref_primary_10_3389_fmicb_2022_973469 crossref_primary_10_1002_pmic_201800363 crossref_primary_10_1186_s40168_020_00967_x crossref_primary_10_7717_peerj_9988 crossref_primary_10_1080_14789450_2023_2215440 crossref_primary_10_1038_s41522_020_0133_2 crossref_primary_10_1007_s00253_019_09727_w crossref_primary_10_1038_s43705_022_00131_6 crossref_primary_10_1016_j_csbj_2022_01_018 crossref_primary_10_1136_gutjnl_2020_321747 crossref_primary_10_1002_pmic_202400242 crossref_primary_10_1007_s11368_020_02704_1 crossref_primary_10_3389_fmicb_2024_1509117 crossref_primary_10_1093_bib_bbac055 crossref_primary_10_1128_Spectrum_01429_21 crossref_primary_10_1080_19490976_2021_1994836 crossref_primary_10_1080_19490976_2022_2063016 crossref_primary_10_1080_01140671_2025_2458811 crossref_primary_10_1186_s12866_021_02201_6 crossref_primary_10_3748_wjg_v31_i2_100589 crossref_primary_10_1038_s41598_020_69241_2 crossref_primary_10_3389_fimmu_2021_716676 crossref_primary_10_7554_eLife_64478 crossref_primary_10_1186_s13568_020_01103_6 crossref_primary_10_1053_j_gastro_2020_09_057 crossref_primary_10_1094_MPMI_05_22_0116_TA |
| Cites_doi | 10.1038/nmicrobiol.2016.88 10.1038/ismej.2008.37 10.1038/ismej.2008.108 10.1007/978-1-59745-440-7_23 10.1016/j.cell.2012.01.035 10.1194/jlr.R036012 10.1002/pmic.201400571 10.1371/journal.pone.0035240 10.1038/nature11053 10.1038/sj.ejcn.1601704 10.1093/ajcn/39.2.338 10.1016/j.jaci.2011.04.060 10.1046/j.1365-2958.1998.00696.x 10.1186/1471-2164-11-571 10.1038/ismej.2015.188 10.1021/pr900360j 10.1126/science.1241165 10.1371/journal.pone.0049138 10.1016/j.chom.2011.10.007 10.3389/fgene.2015.00081 10.1038/nature11234 10.1016/j.imbio.2015.06.004 10.1016/j.jmb.2015.11.006 10.1371/journal.pone.0153294 10.1093/nar/gkq275 10.12688/f1000research.6924.1 10.1136/gut.2005.086413 10.1093/bioinformatics/btq461 10.1046/j.1365-2036.2000.00883.x 10.1038/s41467-018-05357-4 10.3109/00365521.2015.1093167 10.1038/nrmicro2746 10.1128/MMBR.69.1.12-50.2005 10.1126/science.1241214 10.1186/s40168-017-0293-3 10.1016/j.tim.2016.02.002 10.1371/journal.pone.0029913 10.1016/j.cmet.2011.02.018 10.1038/nmicrobiol.2017.4 10.1007/s00535-016-1242-9 10.1021/pr200851y 10.1021/pr0604054 10.1186/s40168-017-0290-6 10.1002/pmic.201400563 10.1128/mBio.00686-18 10.1016/0006-291X(68)90397-5 10.3390/nu3100858 10.1109/MCSE.2007.55 10.1007/164_2016_115 10.1038/nature12820 |
| ContentType | Journal Article |
| Copyright | The Author(s). 2019 COPYRIGHT 2019 BioMed Central Ltd. Copyright © 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s). 2019 – notice: COPYRIGHT 2019 BioMed Central Ltd. – notice: Copyright © 2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| CorporateAuthor | Pacific Northwest National Laboratory (PNNL), Richland, WA (United States) Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
| CorporateAuthor_xml | – name: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States) – name: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 3V. 7X7 7XB 88E 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS 7X8 OIOZB OTOTI 5PM DOA |
| DOI | 10.1186/s40168-019-0631-8 |
| DatabaseName | Springer Nature Link CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Biological Science Collection Health & Medical Collection (Alumni Edition) Medical Database Biological Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic OSTI.GOV - Hybrid OSTI.GOV PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2049-2618 |
| EndPage | 15 |
| ExternalDocumentID | oai_doaj_org_article_1be1bc19d17948a9937b51dd7a4d5420 PMC6371617 1495989 A581363385 30744677 10_1186_s40168_019_0631_8 |
| Genre | Research Support, U.S. Gov't, Non-P.H.S Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: National Institutes of Health grantid: UH2DK83991 funderid: http://dx.doi.org/10.13039/100000002 – fundername: NIDDK NIH HHS grantid: UH2 DK083991 – fundername: ; grantid: UH2DK83991 |
| GroupedDBID | 0R~ 53G 5VS 7X7 88E 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML ABUWG ACGFS ADBBV ADRAZ ADUKV AENEX AFKRA AFPKN AHBYD AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AOIJS ASPBG BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU DIK EBLON EBS EJD FYUFA GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAG IAO IEP IHR INH INR ISR ITC KQ8 LK8 M1P M48 M7P M~E OK1 PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO RBZ ROL RPM RSV SOJ UKHRP AAYXX AFFHD CITATION ALIPV CGR CUY CVF ECM EIF NPM 3V. 7XB 8FK AZQEC DWQXO GNUQQ K9. PKEHL PQEST PQUKI PRINS 7X8 -A0 ACRMQ ADINQ C24 OIOZB OTOTI 5PM |
| ID | FETCH-LOGICAL-c664t-e56a99c7e6783313b828eaa513d3efd5c6405ee3bda4de87d71e729b69a991973 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 52 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000458459900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2049-2618 |
| IngestDate | Fri Oct 03 12:34:40 EDT 2025 Tue Nov 04 01:58:21 EST 2025 Mon Nov 25 02:41:50 EST 2024 Fri Sep 05 13:45:13 EDT 2025 Sat Oct 18 23:49:06 EDT 2025 Tue Nov 11 10:07:56 EST 2025 Tue Nov 04 17:19:16 EST 2025 Thu Nov 13 15:10:41 EST 2025 Thu Apr 03 06:49:54 EDT 2025 Sat Nov 29 06:26:24 EST 2025 Tue Nov 18 22:34:09 EST 2025 Sat Sep 06 07:26:10 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Human microbiome Microbial metabolic function Metaproteomics Longitudinal analyses Gut microbiome Crohn’s disease |
| Language | English |
| License | Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c664t-e56a99c7e6783313b828eaa513d3efd5c6405ee3bda4de87d71e729b69a991973 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 USDOE AC05-00OR22725; AC05-76RL01830 PNNL-SA-139569 |
| ORCID | 0000-0001-7708-786X 000000017708786X |
| OpenAccessLink | https://link.springer.com/10.1186/s40168-019-0631-8 |
| PMID | 30744677 |
| PQID | 2183046976 |
| PQPubID | 2040205 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_1be1bc19d17948a9937b51dd7a4d5420 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6371617 osti_scitechconnect_1495989 proquest_miscellaneous_2186145708 proquest_journals_2183046976 gale_infotracmisc_A581363385 gale_infotracacademiconefile_A581363385 gale_incontextgauss_ISR_A581363385 pubmed_primary_30744677 crossref_primary_10_1186_s40168_019_0631_8 crossref_citationtrail_10_1186_s40168_019_0631_8 springer_journals_10_1186_s40168_019_0631_8 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-02-11 |
| PublicationDateYYYYMMDD | 2019-02-11 |
| PublicationDate_xml | – month: 02 year: 2019 text: 2019-02-11 day: 11 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England – name: United States |
| PublicationTitle | Microbiome |
| PublicationTitleAbbrev | Microbiome |
| PublicationTitleAlternate | Microbiome |
| PublicationYear | 2019 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| References | KF Aoki-Kinoshita (631_CR42) 2009 Y Zhulina (631_CR52) 2015; 51 631_CR6 NI McNeil (631_CR10) 1984; 39 631_CR38 W Xiong (631_CR21) 2015; 15 Z-Q Ma (631_CR31) 2009; 8 S Vieira-Silva (631_CR36) 2016; 1 B Wang (631_CR46) 2003; 57 W McKinney (631_CR41) 2010 CA Kolmeder (631_CR24) 2016; 11 631_CR28 S Salvatore (631_CR47) 2000; 14 K Bodger (631_CR53) 2006; 55 W Xiong (631_CR25) 2017; 5 A Tanca (631_CR43) 2017; 5 C Clemente Jose (631_CR1) 2012; 148 A Marcobal (631_CR45) 2011; 10 HV Lin (631_CR14) 2012; 7 T Oliphant (631_CR39) 2006 Y Darzi (631_CR37) 2015; 10 X Zhang (631_CR22) 2018; 9 PM Smith (631_CR3) 2013; 341 C Young Jacque (631_CR34) 2015; 15 W Zhu (631_CR30) 2010; 38 631_CR44 LA David (631_CR16) 2013; 505 R Donohoe Dallas (631_CR11) 2011; 13 NM Koropatkin (631_CR4) 2012; 10 J Dicksved (631_CR51) 2008; 2 C Heßlinger (631_CR50) 1998; 27 The Human Microbiome Project C (631_CR2) 2012; 486 Y Zhang (631_CR27) 2018; 9 M Sun (631_CR9) 2017; 52 P Abraham (631_CR15) 2012; 11 S Kumar (631_CR29) 2010; 11 J Halfvarson (631_CR26) 2017; 2 K Rea (631_CR7) 2017 JD Hunter (631_CR40) 2007; 9 C Iraporda (631_CR12) 2015; 220 CA Kolmeder (631_CR23) 2012; 7 NC Verberkmoes (631_CR20) 2008; 3 RC Edgar (631_CR33) 2010; 26 E Vanderwinkel (631_CR48) 1968; 33 H Bisgaard (631_CR8) 2011; 128 G den Besten (631_CR5) 2013; 54 AR Erickson (631_CR18) 2012; 7 AJ Wolfe (631_CR49) 2005; 69 T Yatsunenko (631_CR17) 2012; 486 A Moya (631_CR19) 2016; 24 M Kanehisa (631_CR35) 2016; 428 MAR Vinolo (631_CR13) 2011; 3 DL Tabb (631_CR32) 2007; 6 |
| References_xml | – ident: 631_CR38 – volume: 1 year: 2016 ident: 631_CR36 publication-title: Nature Microbiology doi: 10.1038/nmicrobiol.2016.88 – volume: 2 start-page: 716 year: 2008 ident: 631_CR51 publication-title: The Isme Journal doi: 10.1038/ismej.2008.37 – volume: 3 start-page: 179 year: 2008 ident: 631_CR20 publication-title: The Isme Journal doi: 10.1038/ismej.2008.108 – start-page: 437 volume-title: Bioinformatics for systems biology year: 2009 ident: 631_CR42 doi: 10.1007/978-1-59745-440-7_23 – volume: 148 start-page: 1258 issue: 6 year: 2012 ident: 631_CR1 publication-title: Cell doi: 10.1016/j.cell.2012.01.035 – volume: 54 start-page: 2325 issue: 9 year: 2013 ident: 631_CR5 publication-title: J Lipid Res doi: 10.1194/jlr.R036012 – volume: 15 start-page: 3424 issue: 20 year: 2015 ident: 631_CR21 publication-title: PROTEOMICS doi: 10.1002/pmic.201400571 – volume: 7 issue: 4 year: 2012 ident: 631_CR14 publication-title: PLoS One doi: 10.1371/journal.pone.0035240 – volume: 486 start-page: 222 issue: 7402 year: 2012 ident: 631_CR17 publication-title: Nature doi: 10.1038/nature11053 – volume: 57 start-page: 1351 year: 2003 ident: 631_CR46 publication-title: Eur J Clin Nutr doi: 10.1038/sj.ejcn.1601704 – volume: 39 start-page: 338 year: 1984 ident: 631_CR10 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/39.2.338 – volume: 128 start-page: 646 issue: 3 year: 2011 ident: 631_CR8 publication-title: J Allergy Clin Immunol doi: 10.1016/j.jaci.2011.04.060 – volume: 27 start-page: 477 issue: 2 year: 1998 ident: 631_CR50 publication-title: Mol Microbiol doi: 10.1046/j.1365-2958.1998.00696.x – start-page: 51 volume-title: Proceedings of the 9th Python in science conference year: 2010 ident: 631_CR41 – volume: 11 start-page: 571 issue: 1 year: 2010 ident: 631_CR29 publication-title: BMC Genomics doi: 10.1186/1471-2164-11-571 – volume: 10 start-page: 1025 year: 2015 ident: 631_CR37 publication-title: The Isme Journal doi: 10.1038/ismej.2015.188 – volume: 8 start-page: 3872 issue: 8 year: 2009 ident: 631_CR31 publication-title: J Proteome Res doi: 10.1021/pr900360j – volume: 341 start-page: 569 issue: 6145 year: 2013 ident: 631_CR3 publication-title: Science doi: 10.1126/science.1241165 – volume: 7 issue: 11 year: 2012 ident: 631_CR18 publication-title: PLoS One doi: 10.1371/journal.pone.0049138 – volume: 10 start-page: 507 issue: 5 year: 2011 ident: 631_CR45 publication-title: Cell Host Microbe doi: 10.1016/j.chom.2011.10.007 – ident: 631_CR44 doi: 10.3389/fgene.2015.00081 – volume: 486 start-page: 207 issue: 7402 year: 2012 ident: 631_CR2 publication-title: Nature doi: 10.1038/nature11234 – volume: 220 start-page: 1161 issue: 10 year: 2015 ident: 631_CR12 publication-title: Immunobiology doi: 10.1016/j.imbio.2015.06.004 – volume: 428 start-page: 726 issue: 4 year: 2016 ident: 631_CR35 publication-title: J Mol Biol doi: 10.1016/j.jmb.2015.11.006 – volume: 11 issue: 4 year: 2016 ident: 631_CR24 publication-title: PLoS One doi: 10.1371/journal.pone.0153294 – volume: 38 start-page: e132 issue: 12 year: 2010 ident: 631_CR30 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkq275 – ident: 631_CR28 doi: 10.12688/f1000research.6924.1 – volume: 55 start-page: 973 issue: 7 year: 2006 ident: 631_CR53 publication-title: Gut doi: 10.1136/gut.2005.086413 – volume: 26 start-page: 2460 issue: 19 year: 2010 ident: 631_CR33 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq461 – volume: 14 start-page: 1567 issue: 12 year: 2000 ident: 631_CR47 publication-title: Aliment Pharmacol Ther doi: 10.1046/j.1365-2036.2000.00883.x – volume: 9 start-page: 2873 issue: 1 year: 2018 ident: 631_CR22 publication-title: Nat Commun doi: 10.1038/s41467-018-05357-4 – volume: 51 start-page: 304 issue: 3 year: 2015 ident: 631_CR52 publication-title: Scand J Gastroenterol doi: 10.3109/00365521.2015.1093167 – volume: 10 start-page: 323 issue: 5 year: 2012 ident: 631_CR4 publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2746 – volume: 69 start-page: 12 issue: 1 year: 2005 ident: 631_CR49 publication-title: Microbiol Mol Biol Rev doi: 10.1128/MMBR.69.1.12-50.2005 – ident: 631_CR6 doi: 10.1126/science.1241214 – volume: 5 start-page: 79 issue: 1 year: 2017 ident: 631_CR43 publication-title: Microbiome doi: 10.1186/s40168-017-0293-3 – volume: 24 start-page: 402 issue: 5 year: 2016 ident: 631_CR19 publication-title: Trends Microbiol doi: 10.1016/j.tim.2016.02.002 – volume: 7 issue: 1 year: 2012 ident: 631_CR23 publication-title: PLoS One doi: 10.1371/journal.pone.0029913 – volume: 13 start-page: 517 issue: 5 year: 2011 ident: 631_CR11 publication-title: Cell Metab doi: 10.1016/j.cmet.2011.02.018 – volume: 2 year: 2017 ident: 631_CR26 publication-title: Nature Microbiology doi: 10.1038/nmicrobiol.2017.4 – volume: 52 start-page: 1 issue: 1 year: 2017 ident: 631_CR9 publication-title: J Gastroenterol doi: 10.1007/s00535-016-1242-9 – volume: 11 start-page: 449 issue: 1 year: 2012 ident: 631_CR15 publication-title: J Proteome Res doi: 10.1021/pr200851y – volume: 6 start-page: 654 issue: 2 year: 2007 ident: 631_CR32 publication-title: J Proteome Res doi: 10.1021/pr0604054 – volume: 5 start-page: 72 issue: 1 year: 2017 ident: 631_CR25 publication-title: Microbiome doi: 10.1186/s40168-017-0290-6 – volume: 15 start-page: 3463 issue: 20 year: 2015 ident: 631_CR34 publication-title: PROTEOMICS doi: 10.1002/pmic.201400563 – volume: 9 start-page: e00686 issue: 3 year: 2018 ident: 631_CR27 publication-title: mBio doi: 10.1128/mBio.00686-18 – volume-title: A Guide to NumPy year: 2006 ident: 631_CR39 – volume: 33 start-page: 902 issue: 6 year: 1968 ident: 631_CR48 publication-title: Biochem Biophys Res Commun doi: 10.1016/0006-291X(68)90397-5 – volume: 3 start-page: 858 issue: 10 year: 2011 ident: 631_CR13 publication-title: Nutrients doi: 10.3390/nu3100858 – volume: 9 start-page: 90 issue: 3 year: 2007 ident: 631_CR40 publication-title: Computing in Science & Engineering doi: 10.1109/MCSE.2007.55 – start-page: 269 volume-title: Gastrointestinal pharmacology year: 2017 ident: 631_CR7 doi: 10.1007/164_2016_115 – volume: 505 start-page: 559 year: 2013 ident: 631_CR16 publication-title: Nature doi: 10.1038/nature12820 |
| SSID | ssj0000914748 |
| Score | 2.387743 |
| Snippet | Background
The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism... The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and... Background The gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism... Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded metabolism... Abstract Background The gut microbiome plays a fundamental role in the human host’s overall health by contributing key biological functions such as expanded... |
| SourceID | doaj pubmedcentral osti proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 18 |
| SubjectTerms | Acetylglucosamine - analysis Adult Amino acids Bacteria - genetics Bacteria - metabolism BASIC BIOLOGICAL SCIENCES Bioinformatics Biomedical and Life Sciences Biomedicine Crohn Disease - microbiology Crohn Disease - surgery Crohn's disease Cytidine Monophosphate N-Acetylneuraminic Acid - analysis Digestive system E coli Enzymes Fatty acids Fatty Acids, Volatile - analysis Feces - microbiology Female Fermentation Food Food products Gastrointestinal Microbiome - genetics Gastrointestinal Microbiome - physiology Genes Genomes Genomics Gut microbiome Health aspects Human microbiome Humans Inflammation Inflammatory bowel disease Intestinal microflora Longitudinal analyses Male Medical Microbiology Metabolism Metaproteomics Microbial Ecology Microbial Genetics and Genomics Microbial metabolic function Microbiology Microbiomes Microbiota Microbiota (Symbiotic organisms) Middle Aged Pathogens Phenotypes Physiological aspects Product enhancement Proteins Proteome - metabolism Proteomics Remission Retirement benefits RNA, Ribosomal, 16S - genetics Studies Surgery Temporal variations Virology |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQBRIXxJvQggxCQoJGXa_j2D6WigokqBAv9WY5ttOu1CbVJlvRG3-Dv8aRX8KMnV0anheuie3EM589M_b4MyGPtK8nIVRVzoOd5MW0LnLLnM1DUWuwN0K6eCrt4yu5t6f29_Wbc1d9YU5YogdOgttiVWCVY9ojcpRFc1oJ5r20hRfFNEbr4PWcC6biHKxZIQs1bGMyVW51EEiUmLeFh-45y9XIEEW-_tWsvNbC8Pqdy_lr5uRP26fRKu1eJVcGd5Jup25cIxdCc51cShdMnt0gX1-H3kYqBjx83FHkawK80RNcJQP9Nj21jacgapij8nnAI2UganoM1SpkDKZo99JyIQU_MmbSntFZQyNvB403_NGDBdSYJUan49DRtqY78_aw-fb5C34SkIRLcnSgcO2ox-39PtCBFuuInkLAnlYOsemhKXje2092kyKNLDS7mX41dSZ0N8mH3efvd17kw20OuSvLos-DKEF7TgYwj5wzXkGsF6wVjHseai9cCb5jCLzyoNmgpJcsgOdflRqqMS35LbLWtE24Q6iz4BU6x7ULrhBMaVWDH-i1cMg9JFxGJkvVGjdQneONG0cmhjyqNAkNBtBgEA1GZeTJqspJ4vn4W-FniJdVQaTojg8AuGYArvkXcDPyENFmkISjwSyfA7voOvPy3VuzLRTjJedKZOTxUKhuoQfODocmQA7I2zUquTEqCbp1o9frCGoDfhWSAzvMonK9wfhYKw2Vl1g3wxzWGXSecfVElhl5sHqN7WJeXhPaRSwD_p2QE5DJ7TQ0VlIB61GAGZYZkaNBMxLb-E0zO4wM5yWXGHdn5OlyeP34rT9q5e7_0Mo6uTyNc8Q0Z2yDrPXzRbhHLrrTftbN78dJ5ju714Ua priority: 102 providerName: Directory of Open Access Journals – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELaggMSFdyG0IIOQkKBR1-sktk-oVFQgQVXxUm-WYzvbldqkbLIVvfE3-Gsc-SXMON6twqMXrsnYie3xvDz-hpAnylUj78sy5d6M0mxcZalh1qQ-qxTom1zYcCvt81uxuyv399VeDLi1Ma1yIRODoHaNxRj5Jqpy9OVE8eL4S4pVo_B0NZbQuEguIUoCD6l7e8sYC-jCTGQyHmYyWWy24E4UmL2FV-85S-VAHQXU_qVsXmlgk_3N8Pwzf_K3Q9Sgm3au_--obpBr0SqlWz0b3SQXfH2LXOnrVJ7eJj_e-c4ERAe8w9xShH0CtqXHGGwDNqk7ampHYcVA1KUzjzfTYMXoETQrEXiYovrso44UzNGQkHtKpzUN8B80FAqkkzm0mPbAUEe-pU1Ft2fNQf3z23f8JDAkRvZoRIJtqcMsgc7TiK51SE_A7-8DkNh17Aqed-ar2aCIRgvdbvS_2g_Gt3fIp51XH7dfp7EoRGqLIutSnxdGKSs8aFnOGS_BZfTG5Iw77iuX2wJMUO956UzmvBROMA8ORFkoaMaU4KtkpW5qf49Qa8C4tJYr622WM6lkBeakU7lFCKPcJmS04A1tI2I6Fu441MFzkoXu2UkDO2lkJy0T8mzZ5LiHCzmP-CUy3JIQkb7Dg2Y20VFwaFZ6VlqmHEpOadCcLHPmnIDh5dl4lJDHyK4asTxqTBaamHnb6jcf3uutXDJecC7zhDyNRFUDI7Am3r2AeUD4rwHl-oAS1tYOXq_hrtBgniHGsMVkLNtpdLOVVNB4weU6isJWn7F4Qh4tX2O_mN5X-2YeaMBMzMUI5uRuv7eWswJKKANtLhIiBrtuMG3DN_X0IAClF1yg-56Q54v9efZb_1yV--cPYo1cHQfxMU4ZWycr3WzuH5DL9qSbtrOHQf78AgLck4k priority: 102 providerName: ProQuest |
| Title | Metaproteomics reveals persistent and phylum-redundant metabolic functional stability in adult human gut microbiomes of Crohn’s remission patients despite temporal variations in microbial taxa, genomes, and proteomes |
| URI | https://link.springer.com/article/10.1186/s40168-019-0631-8 https://www.ncbi.nlm.nih.gov/pubmed/30744677 https://www.proquest.com/docview/2183046976 https://www.proquest.com/docview/2186145708 https://www.osti.gov/servlets/purl/1495989 https://pubmed.ncbi.nlm.nih.gov/PMC6371617 https://doaj.org/article/1be1bc19d17948a9937b51dd7a4d5420 |
| Volume | 7 |
| WOSCitedRecordID | wos000458459900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: BioMedCentral customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: RBZ dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: M~E dateStart: 20130101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: M7P dateStart: 20150101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: 7X7 dateStart: 20150101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: BENPR dateStart: 20150101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: PIMPY dateStart: 20150101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 2049-2618 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000914748 issn: 2049-2618 databaseCode: RSV dateStart: 20131201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Pb9MwFLdYBxIX_g_CRmUQEhIsoq6T2D5u0yYmsaraYBony3GcrtKWTE06sRtfg6_GkU_Ce05aFBhIcOkheXZj-_3388-EvFRZPnAuTUPuzCCMhnkUGmZN6KJcgb2JhfWn0o7fi9FInpyocXuOu1pUuy-2JL2m9mItk7cVRAIJFl7hqXnOQrlCVsHaSZTGw6PjZWIFDGAkItnuYF7bsmODPFT_UiH3SpCs67zN34smf9k59QZp7-5_DeUeudP6n3SrYZj75IYrHpBbzY2UVw_JtwNXG4_dgKeVK4oAT8Cg9ALTasAQRU1NkVFYG1Bq4czhGTRYG3oOzVKEGKZoKJv8IgXH05feXtFpQT3QB_VXAtLJHFpMGwioc1fRMqc7s_K0-P7lK_4lsB7m8GiL-VrRDOsBakdbHK0zegkRfpNqxK7bruB5bT6bTYq4s9DtZvOpzWBc9Yh83Nv9sPMubK9_CG2SRHXo4sQoZYUDe8o54ykEh86YmPGMuzyLbQLOpnM8zUyUOSkywRyECmmioBlTgq-RXlEW7gmh1oAbaS1X1tkoZlLJHBzHTMUWwYpiG5DBgiG0bbHR8YqOM-1jJJnoZsk0LJnGJdMyIK-XTS4aYJC_EW8jly0JEdPbPyhnE92qCM1Sx1LLVIY6Uhp0HNOYZZmA4cXRcBCQF8ijGlE7CiwLmph5Ven9o0O9FUvGE85lHJBXLVFewgisaU9ZwDwg0FeHcqNDCWtrO6_XURQ0OGKIJmyx7MrWGgNqJRU0XkiIbpVepdHbxnSLSALyfPka-8VCvsKVc08DDmEsBjAnjxuBWs4KmJsI7LYIiOiIWmfaum-K6amHRE-4wEA9IG8WAvfzs_64Kk__iXqd3B56iR2GjG2QXj2bu2fkpr2sp9WsT1bEifC_sk9Wt3dH48O-z-_0sZp4DM_G-wfjT32vq34A4LWQCw |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFLVKAcGG9yO0gEEgJGjUcZzEzgKhUqha9aGKFtSdcRynHalNhkmmMDt-g5_gg1jyJdzrZKYKj-66YJvYTuzcx_HN9bmEPEmyvGdtmvrc6p4fBnnoa2a0b8M8AX8TCeNOpX3YEFtbcm8v2Z4h3ydnYTCtcmITnaHOSoMx8kV05biXE_GrwScfq0bh39VJCY1GLNbt-DNs2aqXa2_g-z4NgpW3u8urfltVwDdxHNa-jWKdJEZYMNOcM57CnsNqHTGecZtnkYkBw1jL00yHmZUiE8wCAk3jBLqxRHAY9xw5DzAikC5VcHsa0wHfG4pQtj9PmYwXK9i-xJgthkf9OfNlx_25KgFTXzBbglL_Dej-ma_5209b5wtXrv5vq3iNXGlRN11q1OQ6mbHFDXKxqcM5vkl-bNpaO8YKPKNdUaS1ArWkAwwmghoUNdVFRkEiwZT7Q4sn70Ai6RF0S5FYmSI8aKKqFOC2Szge035BHb0JdYUQ6f4IevQb4qsjW9Eyp8vD8qD4-fUbPhIUDiOXtGW6rWiGWRC1pS172CE91sNGkSocuh0Krtf6i16gyLYLwy40r9pMxla3yPszWdjbZLYoC3uXUKMBPBvDE2NNGDGZyBzgcpZEBimaIuOR3kQWlWkZ4bEwyaFyO0MZq0Z8FYivQvFV0iPPp10GDR3KaY1fo4BPGyKTubtQDvdVaxgVSy1LDUsy9AxSI1xOI5ZlAqYXhUHPI49RPRRylRSYDLWvR1Wl1nbeqaVIMh5zLiOPPGsb5SXMwOj2bAmsA9KbdVrOd1rCtzWd23OohQrgJ3IoG0w2M7XCMEIiE-g80SrVmvpKnaiURx5Nb-O4mL5Y2HLk2gAMjkQP1uROo8vTVQEnGwJaER4RHS3vLFv3TtE_cETwMRcYnvDIi4k9OHmtf36Ve6dP4iG5tLq7uaE21rbW58jlwJmuwGdsnszWw5G9Ty6Y47pfDR8420fJx7M2E78AcSHwpA |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagPMSF9yO0gEFISKVR1-skto-lUFFRVhWFqjfLsZ12pTZZbbIVvfE3-Gsc-SXMONlFgYKEuCZjJ_bMeGbsmc-EPFeuGHif5zH3ZhAnwyKJDbMm9kmhwN6kwoaqtP0dMRrJgwO1291zWs-z3edHkm1NA6I0lc36xBWtistsvYaoIMMkLKyg5yyWF8mlBO8MwnB9b3-xyQLGMBGJ7E4zz23Zs0cBtn-xOC9VoGXneZ6_J1D-cooajNPWjf8e1k1yvfNL6UYrSLfIBV_eJlfamyrP7pBv731jAqYDVjHXFIGfQHDpBLfbavwENaWjwDNY7OKpx9o04Bk9gWY5Qg9TNKDtviMFhzSk5J7RcUkDAAgNVwXSwxm0GLfQUCe-plVBN6fVUfn9y1f8JIgk7u3RDgu2pg7zBBpPO3ytY3oKkX-7BYldd13B88Z8NmsU8Wih27X2V9vB-Pou-bT15uPm27i7FiK2WZY0sU8zo5QVHuws54znEDR6Y1LGHfeFS20GTqj3PHcmcV4KJ5iHECLPFDRjSvB7ZKmsSv-AUGvAvbSWK-ttkjKpZAEOpVOpRRCj1EZkMBcObTvMdLy641iH2ElmumWZBpZpZJmWEVldNJm0gCF_I36FErcgRKzv8KCaHupu6dAs9yy3TDlcO6VBhzJPmXMChpcmw0FEnqG8akTzKDFd6NDM6lpv733QG6lkPONcphF50REVFYzAmq76AuYBAcB6lCs9SuCt7b1eRrXQ4KAhyrDFdCzbaAy0lVTQeK4tulsMa41eOG7DiCwiTxevsV9M8Ct9NQs04CimYgBzcr9VrsWsgBlKwJ6LiIie2vWmrf-mHB8FqPSMCwzgI_Jyrnw_f-uPXHn4T9RPyNXd11t6Z3v0bplcGwblHcaMrZClZjrzj8hle9qM6-njsDT9ALjAlM4 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Metaproteomics+reveals+persistent+and+phylum-redundant+metabolic+functional+stability+in+adult+human+gut+microbiomes+of+Crohn%27s+remission+patients+despite+temporal+variations+in+microbial+taxa%2C+genomes%2C+and+proteomes&rft.jtitle=Microbiome&rft.au=Blakeley-Ruiz%2C+J.+Alfredo&rft.au=Erickson%2C+Alison+R&rft.au=Cantarel%2C+Brandi+L&rft.au=Xiong%2C+Weili&rft.date=2019-02-11&rft.pub=BioMed+Central+Ltd&rft.issn=2049-2618&rft.eissn=2049-2618&rft.volume=7&rft.issue=1&rft_id=info:doi/10.1186%2Fs40168-019-0631-8&rft.externalDocID=A581363385 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2049-2618&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2049-2618&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2049-2618&client=summon |