Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome
Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequenci...
Saved in:
Published in | Microbiome Vol. 4; no. 1; p. 30 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
23.06.2016
BioMed Central |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14).
We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %.
Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. |
---|---|
AbstractList | Background Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14). Results We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %. Conclusions Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. Keywords: Myalgic encephalomyelitis, Chronic fatigue syndrome, Inflammation, Lipopolysaccharides, Microbiome, Microbial translocation, Beta-diversity BACKGROUNDGastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14).RESULTSWe observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %.CONCLUSIONSOur results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14). We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %. Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14). We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %. Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. Background Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (n = 48) and controls (n = 39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14). Results We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %. Conclusions Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS. |
ArticleNumber | 30 |
Audience | Academic |
Author | Hanson, Maureen R. Ley, Ruth E. Giloteaux, Ludovic Goodrich, Julia K. Walters, William A. Levine, Susan M. |
Author_xml | – sequence: 1 givenname: Ludovic surname: Giloteaux fullname: Giloteaux, Ludovic – sequence: 2 givenname: Julia K. surname: Goodrich fullname: Goodrich, Julia K. – sequence: 3 givenname: William A. surname: Walters fullname: Walters, William A. – sequence: 4 givenname: Susan M. surname: Levine fullname: Levine, Susan M. – sequence: 5 givenname: Ruth E. surname: Ley fullname: Ley, Ruth E. – sequence: 6 givenname: Maureen R. surname: Hanson fullname: Hanson, Maureen R. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27338587$$D View this record in MEDLINE/PubMed |
BookMark | eNp1Ustu1DAUjVARLUM_gA2yxAYWae3EcZwNUlXxqFQJqcDacuybjKvEHmKnMD_Q7-6NpoVOBX7r-pxj-_q8zA588JBlrxk9YUyK08gpEzLHAXvNcv4sOyoob_JCMHnwaH2YHcd4TbE0jNdcvsgOi7osZSXro-z2CuxswBLrbmCKLm2J9pboIcGEURPGTcCoC56EjqQ1kH5OZHRmCq0LIxDnsSHZ2VkPkfxyaU3GrR56Zwh4A5u1HsK4hQFF4qlZT8HjTqeT62cgcevthDKvsucd0uH4fl5lPz59_H7-Jb_8-vni_OwyN1UhUy4pbbvSGGk415RRLUUlKlpKaFraMt3VHJiwVSW4aXhVFl1bCitoaW3Z1jivsg873c3cjmAN-DTpQW0mN-ppq4J2an_Hu7Xqw43iDZMU07bK3t0LTOHnDDGp0UUDw6A9hDkqVjdNJVjNOULfPoFeh3ny-DyFWlQWJa3oX1SvB1DOdwHPNYuoOuOiKaSkYjn25B8orBbwL9AYncP4HuH9HgExCX6nXs8xqotvV_vYN4-T8icbDy5BQL0D4K_HOEGnjEt6MQXewg2KUbVYUu0sqXBQiyXVkgP2hPkg_n_OHQpN44g |
CitedBy_id | crossref_primary_10_1002_mnfr_202300015 crossref_primary_10_1007_s12035_020_01961_y crossref_primary_10_1002_mnfr_201600585 crossref_primary_10_3390_molecules27103269 crossref_primary_10_1016_j_eplepsyres_2018_09_013 crossref_primary_10_3390_nu16111545 crossref_primary_10_1016_j_cels_2022_12_009 crossref_primary_10_14814_phy2_14138 crossref_primary_10_1371_journal_pone_0203503 crossref_primary_10_3390_diagnostics9030073 crossref_primary_10_1093_jac_dkx426 crossref_primary_10_1038_s41598_021_86425_6 crossref_primary_10_2147_AHMT_S317314 crossref_primary_10_3390_biomedicines11030748 crossref_primary_10_1186_s12967_018_1392_z crossref_primary_10_1186_s12934_017_0691_z crossref_primary_10_1186_s12967_019_02196_9 crossref_primary_10_3389_fendo_2022_834674 crossref_primary_10_1097_HNP_0000000000000671 crossref_primary_10_1172_JCI132185 crossref_primary_10_1186_s12967_020_02585_5 crossref_primary_10_1007_s00281_025_01036_x crossref_primary_10_3390_diagnostics9030080 crossref_primary_10_1155_2020_6375876 crossref_primary_10_3390_nu13051543 crossref_primary_10_14336_AD_2021_0824 crossref_primary_10_1016_j_ijmm_2018_05_002 crossref_primary_10_1128_mSystems_00092_17 crossref_primary_10_1111_jcmm_17631 crossref_primary_10_12677_acm_2024_1492515 crossref_primary_10_1097_NNR_0000000000000452 crossref_primary_10_1136_gutjnl_2017_313713 crossref_primary_10_1111_1462_2920_14506 crossref_primary_10_1111_bph_13702 crossref_primary_10_1080_19490976_2023_2205386 crossref_primary_10_3389_fpsyt_2018_00205 crossref_primary_10_1016_j_biopha_2017_05_010 crossref_primary_10_1038_s41598_021_87018_z crossref_primary_10_1097_PSY_0000000000000630 crossref_primary_10_3390_ijms252413465 crossref_primary_10_3390_ijms24065124 crossref_primary_10_1093_femsre_fuab022 crossref_primary_10_1007_s12038_019_9931_1 crossref_primary_10_3390_molecules27217377 crossref_primary_10_5507_bp_2018_051 crossref_primary_10_1097_j_pain_0000000000001640 crossref_primary_10_1016_j_autneu_2024_103198 crossref_primary_10_1172_jci_insight_157621 crossref_primary_10_1038_s41467_024_45107_3 crossref_primary_10_1016_j_biopha_2023_114862 crossref_primary_10_2196_53347 crossref_primary_10_1002_mnfr_202300452 crossref_primary_10_1111_apha_14122 crossref_primary_10_1186_s12920_017_0248_3 crossref_primary_10_3390_ijms26031282 crossref_primary_10_3389_fped_2018_00373 crossref_primary_10_3390_ijms242015316 crossref_primary_10_1016_j_jtct_2021_02_017 crossref_primary_10_1007_s12553_020_00486_7 crossref_primary_10_1080_21641846_2025_2455876 crossref_primary_10_2174_0929867326666190328151539 crossref_primary_10_4236_ijcm_2018_95040 crossref_primary_10_1016_j_pnpbp_2020_110240 crossref_primary_10_1186_s12967_019_1797_3 crossref_primary_10_1371_journal_pone_0199640 crossref_primary_10_1016_j_ygeno_2022_110523 crossref_primary_10_1093_rheumatology_keaa847 crossref_primary_10_3389_fimmu_2019_01914 crossref_primary_10_1007_s13238_020_00748_0 crossref_primary_10_1007_s11926_017_0628_x crossref_primary_10_1177_1099800421991656 crossref_primary_10_1016_j_neubiorev_2019_08_011 crossref_primary_10_3389_fimmu_2020_00427 crossref_primary_10_3389_fgwh_2022_810673 crossref_primary_10_1093_sleep_zsad069 crossref_primary_10_1042_CS20171330 crossref_primary_10_1007_s11368_024_03844_4 crossref_primary_10_3389_fmed_2022_818728 crossref_primary_10_3389_fmicb_2021_698169 crossref_primary_10_3390_nu14081647 crossref_primary_10_1016_j_envres_2024_118619 crossref_primary_10_1097_ALN_0000000000004204 crossref_primary_10_3389_fmicb_2023_1190894 crossref_primary_10_3390_pathogens9090753 crossref_primary_10_1186_s12967_025_06146_6 crossref_primary_10_1093_iwc_iwad033 crossref_primary_10_33273_2663_9726_2020_52_1_19_25 crossref_primary_10_3389_fendo_2018_00097 crossref_primary_10_1038_s41598_020_77105_y crossref_primary_10_1073_pnas_1712475114 crossref_primary_10_3390_jcm9113463 crossref_primary_10_3389_fneur_2021_789784 crossref_primary_10_1093_eurheartj_ehac031 crossref_primary_10_1007_s11306_016_1145_z crossref_primary_10_1016_j_mce_2016_11_028 crossref_primary_10_3389_fmicb_2023_1074637 crossref_primary_10_1094_PBIOMES_4_1 crossref_primary_10_1186_s40168_017_0261_y crossref_primary_10_1016_j_humic_2019_100061 crossref_primary_10_1007_s12144_021_01700_z crossref_primary_10_1016_j_heliyon_2024_e27031 crossref_primary_10_3390_nu14081533 crossref_primary_10_3166_phyto_2018_0086 crossref_primary_10_1016_j_ejphar_2017_09_025 crossref_primary_10_3390_covid2040031 crossref_primary_10_1214_24_EJS2222 crossref_primary_10_3390_nu11102315 crossref_primary_10_1186_s12967_023_04808_x crossref_primary_10_3389_fendo_2022_921119 crossref_primary_10_1016_j_humic_2018_08_003 crossref_primary_10_1371_journal_pone_0236148 crossref_primary_10_1038_s41598_021_89834_9 crossref_primary_10_1111_jhn_12435 crossref_primary_10_1186_s12890_018_0647_z crossref_primary_10_3389_fimmu_2024_1352744 crossref_primary_10_1097_NMC_0000000000000374 crossref_primary_10_1016_j_bbi_2019_06_010 crossref_primary_10_1016_j_nbd_2018_09_001 crossref_primary_10_1007_s00520_020_05820_3 crossref_primary_10_1016_j_taap_2018_05_006 crossref_primary_10_1016_j_mehy_2021_110624 crossref_primary_10_3390_cimb45050260 crossref_primary_10_1016_j_bbih_2023_100627 crossref_primary_10_1007_s11926_016_0614_8 crossref_primary_10_3389_fmed_2021_642710 crossref_primary_10_3389_fimmu_2023_1253121 crossref_primary_10_1093_nar_gkad527 crossref_primary_10_3390_life13081692 crossref_primary_10_3389_fimmu_2024_1342833 crossref_primary_10_3390_healthcare9111583 crossref_primary_10_1136_bmjopen_2019_031114 crossref_primary_10_3390_ijms232113328 crossref_primary_10_1186_s12967_017_1229_1 crossref_primary_10_3390_ijerph19042377 crossref_primary_10_1039_C6MB00600K crossref_primary_10_3389_fncel_2021_673217 crossref_primary_10_18632_aging_101693 crossref_primary_10_3390_ijms242417267 crossref_primary_10_1111_lam_12882 crossref_primary_10_1186_s13099_016_0124_2 crossref_primary_10_3390_ijms24119577 crossref_primary_10_3390_jcm9051549 crossref_primary_10_1016_j_chom_2023_01_001 crossref_primary_10_1016_j_chom_2023_01_004 crossref_primary_10_1177_11786469231220781 crossref_primary_10_1186_s13643_018_0909_0 crossref_primary_10_3390_nu16244371 crossref_primary_10_3389_fcimb_2021_549678 crossref_primary_10_1155_2021_6699268 crossref_primary_10_1038_s41380_021_01032_1 crossref_primary_10_1016_j_phrs_2019_104459 crossref_primary_10_1016_j_soncn_2024_151619 crossref_primary_10_1016_j_phrs_2019_104450 crossref_primary_10_1371_journal_pone_0284365 crossref_primary_10_3389_fimmu_2021_628741 crossref_primary_10_7556_jaoa_2019_081 crossref_primary_10_1094_PBIOMES_07_19_0035_RVW crossref_primary_10_1155_2022_4907527 crossref_primary_10_1016_j_bbi_2023_07_025 crossref_primary_10_1111_jcmm_14880 crossref_primary_10_1080_10408398_2020_1836605 crossref_primary_10_3390_ijms241210322 crossref_primary_10_1007_s00018_022_04380_5 crossref_primary_10_1136_bmjopen_2023_073275 crossref_primary_10_1016_j_blre_2023_101075 crossref_primary_10_1055_s_0042_1759568 crossref_primary_10_1128_mSystems_00144_16 crossref_primary_10_1186_s12916_022_02550_7 crossref_primary_10_3390_nu14030466 crossref_primary_10_3390_jcm10215077 crossref_primary_10_1007_s40572_018_0186_z crossref_primary_10_1016_j_biopha_2018_10_076 crossref_primary_10_1098_rsos_231305 crossref_primary_10_12659_AJCR_900314 crossref_primary_10_3389_fmicb_2021_621310 crossref_primary_10_1016_j_jnutbio_2018_04_004 crossref_primary_10_1016_j_meegid_2021_104946 crossref_primary_10_3390_healthcare9070919 crossref_primary_10_1007_s42399_021_00874_8 crossref_primary_10_1016_j_biopha_2025_117855 crossref_primary_10_1016_j_jpsychores_2022_110787 crossref_primary_10_3390_healthcare9050504 crossref_primary_10_3389_fimmu_2021_656797 crossref_primary_10_7717_peerj_3543 crossref_primary_10_3389_fimmu_2024_1386607 crossref_primary_10_1016_j_heliyon_2024_e34092 crossref_primary_10_3390_ijms23147906 crossref_primary_10_1038_s41598_019_46249_x crossref_primary_10_1016_j_autrev_2023_103484 crossref_primary_10_1186_s13073_021_00957_0 crossref_primary_10_3390_jcm13020325 crossref_primary_10_1093_bioinformatics_btz686 crossref_primary_10_1016_j_psj_2025_104796 crossref_primary_10_1172_jci_insight_152346 crossref_primary_10_1016_j_cgh_2020_03_013 crossref_primary_10_17816_CI2022221_4_11 crossref_primary_10_1111_apt_16465 crossref_primary_10_3390_biomedicines9111724 crossref_primary_10_1016_j_fbio_2022_101876 crossref_primary_10_3389_fimmu_2020_582330 crossref_primary_10_3390_biomedicines10030631 crossref_primary_10_1038_s41467_024_52398_z crossref_primary_10_1080_21641846_2022_2034473 crossref_primary_10_1186_s40001_024_01747_1 crossref_primary_10_1038_s41598_018_28477_9 crossref_primary_10_3390_jcm10204786 crossref_primary_10_1016_j_molmed_2021_06_002 crossref_primary_10_1186_s12967_021_03127_3 crossref_primary_10_3390_microorganisms5040066 crossref_primary_10_1002_cncr_31584 crossref_primary_10_1016_j_jep_2024_118958 crossref_primary_10_1186_s12967_020_02533_3 crossref_primary_10_3389_fmed_2023_1187163 crossref_primary_10_3389_fmicb_2018_02627 crossref_primary_10_1002_jsfa_11866 crossref_primary_10_1038_s41380_021_01147_5 crossref_primary_10_3389_fimmu_2018_00229 crossref_primary_10_1186_s40168_018_0425_4 crossref_primary_10_1080_17482631_2017_1392219 crossref_primary_10_1186_s40168_017_0264_8 crossref_primary_10_1371_journal_pone_0201073 crossref_primary_10_1016_j_clindermatol_2018_03_011 crossref_primary_10_3390_ph15080931 crossref_primary_10_7717_peerj_4282 crossref_primary_10_1016_j_ebiom_2019_07_031 crossref_primary_10_1186_s13059_022_02637_7 crossref_primary_10_1016_j_fbio_2023_102447 crossref_primary_10_3390_curroncol29110658 crossref_primary_10_1016_j_bbi_2021_04_014 crossref_primary_10_1016_j_pec_2018_10_011 crossref_primary_10_3389_fmicb_2021_737622 crossref_primary_10_1021_acs_chemrev_2c00431 |
Cites_doi | 10.1038/nature11450 10.1136/gut.47.3.397 10.1053/gast.2002.32392 10.1053/j.gastro.2010.08.049 10.1016/j.febslet.2014.09.039 10.1111/j.1574-6976.2010.00251.x 10.1007/s00284-010-9582-9 10.1016/j.jad.2006.08.021 10.1038/srep12693 10.1146/annurev.med.49.1.1 10.1093/biomet/52.3-4.591 10.1016/j.cell.2014.09.053 10.1136/gutjnl-2013-304833 10.1002/j.1538-7305.1948.tb01338.x 10.1053/j.gastro.2010.10.036 10.4161/gmic.25487 10.1186/s40168-015-0075-8 10.1016/0006-3207(92)91201-3 10.1111/apt.12365 10.1136/gut.27.7.814 10.1186/1757-4749-1-6 10.7326/0003-4819-121-12-199412150-00009 10.1155/2015/614127 10.1073/pnas.0706625104 10.1016/0140-6736(93)90882-H 10.1136/gut.2004.044834 10.1186/gb-2011-12-6-r60 10.1016/j.anaerobe.2013.06.002 10.1038/mp.2015.29 10.1073/pnas.1107857108 10.1186/1477-7525-1-74 10.1016/j.jpsychores.2008.02.021 10.1002/ibd.20903 10.1001/archinte.160.2.221 10.1086/525047 10.1099/jmm.0.46134-0 10.1136/gutjnl-2014-307649 10.1053/j.gastro.2007.04.005 10.1371/journal.pone.0039242 10.1111/jgh.12073 10.1053/gast.2002.30294 10.2174/1871530314666140207103335 10.1096/fj.00-0359fje 10.1371/journal.pone.0010183 10.3390/nu3100858 10.1111/j.1572-0241.2007.01479.x 10.1128/AEM.00246-06 10.1002/hep.26093 10.1038/embor.2013.27 10.1111/j.1572-0241.2005.40312.x 10.1126/sciadv.1400121 10.1073/pnas.0804812105 10.1186/1475-2891-8-4 10.1093/clinids/13.Supplement_1.S8 10.1038/mi.2010.87 10.1016/j.cccn.2004.09.001 10.1016/0923-2494(92)80074-U 10.1128/IAI.63.7.2435-2442.1995 10.4049/jimmunol.178.9.5973 10.1126/science.1232467 10.1073/pnas.1000080107 10.1038/mi.2008.79 10.1016/j.femsim.2004.08.009 10.1097/01.mib.0000235828.09305.0c |
ContentType | Journal Article |
Copyright | COPYRIGHT 2016 BioMed Central Ltd. Copyright BioMed Central 2016 The Author(s). 2016 |
Copyright_xml | – notice: COPYRIGHT 2016 BioMed Central Ltd. – notice: Copyright BioMed Central 2016 – notice: The Author(s). 2016 |
DBID | 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 5PM |
DOI | 10.1186/s40168-016-0171-4 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) ProQuest 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 (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Biological Science Database ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content 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 ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) |
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 | MEDLINE - Academic MEDLINE Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 2049-2618 |
EndPage | 30 |
ExternalDocumentID | PMC4918027 4105844721 A469288067 27338587 10_1186_s40168_016_0171_4 |
Genre | Journal Article |
GrantInformation_xml | – fundername: NIAID NIH HHS grantid: R21 AI101614 – fundername: ; grantid: 1R21AI101614; 1R1AI101614 |
GroupedDBID | 0R~ 53G 5VS 7X7 88E 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML AAYXX ABUWG ACGFS ADBBV ADRAZ ADUKV AENEX AFKRA AFPKN AHBYD AHSBF AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AOIJS ASPBG BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CITATION DIK EBLON EBS EJD FYUFA GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAG IAO IEP IHR INH INR ISR ITC KQ8 LK8 M1P M48 M7P M~E OK1 PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ ROL RPM RSV SOJ UKHRP CGR CUY CVF ECM EIF NPM PMFND 3V. 7XB 8FK AZQEC DWQXO GNUQQ K9. PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS 7X8 5PM |
ID | FETCH-LOGICAL-c528t-800bf3cc8c44a010a86565038e9b0b1af74e16d5564c94532fb36d603dd3b7603 |
IEDL.DBID | M48 |
ISSN | 2049-2618 |
IngestDate | Thu Aug 21 14:08:07 EDT 2025 Tue Aug 05 08:55:23 EDT 2025 Fri Jul 25 11:54:57 EDT 2025 Tue Jun 17 22:05:39 EDT 2025 Tue Jun 10 21:04:48 EDT 2025 Fri Jun 27 05:47:26 EDT 2025 Thu Apr 03 07:00:34 EDT 2025 Thu Apr 24 23:07:21 EDT 2025 Tue Jul 01 04:16:33 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Beta-diversity Inflammation Microbial translocation Myalgic encephalomyelitis Chronic fatigue syndrome Lipopolysaccharides Microbiome |
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-c528t-800bf3cc8c44a010a86565038e9b0b1af74e16d5564c94532fb36d603dd3b7603 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
OpenAccessLink | https://www.proquest.com/docview/1800823050?pq-origsite=%requestingapplication% |
PMID | 27338587 |
PQID | 1800823050 |
PQPubID | 2040205 |
PageCount | 1 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_4918027 proquest_miscellaneous_1799561744 proquest_journals_1800823050 gale_infotracmisc_A469288067 gale_infotracacademiconefile_A469288067 gale_incontextgauss_ISR_A469288067 pubmed_primary_27338587 crossref_citationtrail_10_1186_s40168_016_0171_4 crossref_primary_10_1186_s40168_016_0171_4 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2016-06-23 |
PublicationDateYYYYMMDD | 2016-06-23 |
PublicationDate_xml | – month: 06 year: 2016 text: 2016-06-23 day: 23 |
PublicationDecade | 2010 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | Microbiome |
PublicationTitleAlternate | Microbiome |
PublicationYear | 2016 |
Publisher | BioMed Central Ltd BioMed Central |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central |
References | W Wellmann (171_CR25) 1986; 27 M Pozuelo (171_CR47) 2015; 5 JG Caporaso (171_CR67) 2011; 108 AV Rao (171_CR10) 2009; 1 L Zhu (171_CR23) 2013; 57 171_CR30 J Wyatt (171_CR26) 1993; 341 D Knights (171_CR62) 2011; 35 AA Anas (171_CR27) 2010; 5 MA Vinolo (171_CR52) 2011; 3 A Sullivan (171_CR9) 2009; 8 E Quevrain (171_CR45) 2016; 65 D Groeger (171_CR61) 2013; 4 C Tana (171_CR54) 2010; 22 E Varela (171_CR48) 2013; 38 DN Frank (171_CR13) 2007; 104 H Sokol (171_CR37) 2008; 105 H Sokol (171_CR49) 2009; 15 E Papa (171_CR63) 2012; 7 WE Whitehead (171_CR3) 2002; 122 J Qin (171_CR14) 2012; 490 J Matto (171_CR56) 2005; 43 PJ Openshaw (171_CR24) 2009; 2 JF Jones (171_CR7) 2003; 1 A Kassinen (171_CR53) 2007; 133 K Wolk (171_CR28) 2007; 178 M Martinez-Medina (171_CR38) 2006; 12 JR Sheedy (171_CR11) 2009; 23 DS Bell (171_CR65) 1995 JY Chang (171_CR32) 2008; 197 K Machiels (171_CR46) 2014; 63 JP Segain (171_CR51) 2000; 47 TJ Borody (171_CR8) 2012; 31 X Wu (171_CR59) 2010; 61 AL Komaroff (171_CR15) 1998; 49 M Hornig (171_CR16) 2016; 21 AL Komaroff (171_CR6) 1991; 13 A Chao (171_CR69) 1984; 11 MD Saemann (171_CR50) 2000; 14 171_CR17 BP Willing (171_CR33) 2010; 139 P Thiennimitr (171_CR42) 2011; 108 E Malinen (171_CR55) 2005; 100 J Maukonen (171_CR57) 2006; 55 JK Goodrich (171_CR68) 2014; 159 VE McMurtry (171_CR34) 2015; 3 N Segata (171_CR72) 2011; 12 MMAL Pelsers (171_CR21) 2005; 352 K Fukuda (171_CR1) 1994; 121 RR Schumann (171_CR20) 1992; 143 II Medicine (171_CR22) 2015 WA Walters (171_CR64) 2014; 588 CE Shannon (171_CR70) 1948; 27 RB Sartor (171_CR39) 2011; 4 B Hippe (171_CR36) 2014; 14 A Riedl (171_CR2) 2008; 64 CA Davies (171_CR41) 2003; 225 RB Sartor (171_CR40) 2010; 139 M Maes (171_CR19) 2007; 99 SE Winter (171_CR44) 2013; 339 K Vyboh (171_CR18) 2015; 2015 A Swidsinski (171_CR58) 2002; 122 SE Winter (171_CR43) 2013; 14 LA Aaron (171_CR5) 2000; 160 DP Faith (171_CR71) 1992; 61 T Fujimoto (171_CR35) 2013; 28 M Fremont (171_CR12) 2013; 22 SS Shapiro (171_CR66) 1965; 52 A Liaw (171_CR73) 2002; 2 MK Wojczynski (171_CR4) 2007; 102 E Furrie (171_CR60) 2005; 54 EL Brodie (171_CR31) 2006; 72 Y Wan (171_CR29) 1995; 63 |
References_xml | – volume: 490 start-page: 55 issue: 7418 year: 2012 ident: 171_CR14 publication-title: Nature doi: 10.1038/nature11450 – volume: 2 start-page: 18 year: 2002 ident: 171_CR73 publication-title: R News. – volume: 47 start-page: 397 issue: 3 year: 2000 ident: 171_CR51 publication-title: Gut doi: 10.1136/gut.47.3.397 – volume: 122 start-page: 1140 issue: 4 year: 2002 ident: 171_CR3 publication-title: Gastroenterology doi: 10.1053/gast.2002.32392 – volume: 139 start-page: 1844 issue: 6 year: 2010 ident: 171_CR33 publication-title: Gastroenterology doi: 10.1053/j.gastro.2010.08.049 – volume: 588 start-page: 4223 issue: 22 year: 2014 ident: 171_CR64 publication-title: FEBS Lett doi: 10.1016/j.febslet.2014.09.039 – volume: 35 start-page: 343 issue: 2 year: 2011 ident: 171_CR62 publication-title: FEMS Microbiol Rev doi: 10.1111/j.1574-6976.2010.00251.x – volume: 61 start-page: 69 issue: 1 year: 2010 ident: 171_CR59 publication-title: Curr Microbiol doi: 10.1007/s00284-010-9582-9 – volume: 99 start-page: 237 issue: 1–3 year: 2007 ident: 171_CR19 publication-title: J Affect Disord doi: 10.1016/j.jad.2006.08.021 – volume: 5 start-page: 12693 year: 2015 ident: 171_CR47 publication-title: Sci Rep. doi: 10.1038/srep12693 – volume: 49 start-page: 1 year: 1998 ident: 171_CR15 publication-title: Annu Rev Med. doi: 10.1146/annurev.med.49.1.1 – volume: 52 start-page: 591 issue: 3–4 year: 1965 ident: 171_CR66 publication-title: Biometrika doi: 10.1093/biomet/52.3-4.591 – volume: 11 start-page: 265 year: 1984 ident: 171_CR69 publication-title: Scandinavian Journal of Statistics. – volume: 159 start-page: 789 issue: 4 year: 2014 ident: 171_CR68 publication-title: Cell doi: 10.1016/j.cell.2014.09.053 – volume: 225 start-page: 305 year: 2003 ident: 171_CR41 publication-title: Methods Mol Biol. – volume: 63 start-page: 1275 issue: 8 year: 2014 ident: 171_CR46 publication-title: Gut doi: 10.1136/gutjnl-2013-304833 – volume: 27 start-page: 379 year: 1948 ident: 171_CR70 publication-title: Bell SystTech J. doi: 10.1002/j.1538-7305.1948.tb01338.x – volume: 139 start-page: 1816 issue: 6 year: 2010 ident: 171_CR40 publication-title: Gastroenterology doi: 10.1053/j.gastro.2010.10.036 – volume: 4 start-page: 325 issue: 4 year: 2013 ident: 171_CR61 publication-title: Gut Microbes doi: 10.4161/gmic.25487 – volume-title: Beyond myalgic encephalomyelitis/chronic fatigue syndrome: redefining an illness year: 2015 ident: 171_CR22 – volume: 3 start-page: 11 year: 2015 ident: 171_CR34 publication-title: Microbiome. doi: 10.1186/s40168-015-0075-8 – volume: 61 start-page: 1 year: 1992 ident: 171_CR71 publication-title: Biol Conserv. doi: 10.1016/0006-3207(92)91201-3 – volume: 38 start-page: 151 issue: 2 year: 2013 ident: 171_CR48 publication-title: Aliment Pharmacol Ther doi: 10.1111/apt.12365 – volume: 27 start-page: 814 issue: 7 year: 1986 ident: 171_CR25 publication-title: Gut doi: 10.1136/gut.27.7.814 – volume: 1 start-page: 6 issue: 1 year: 2009 ident: 171_CR10 publication-title: Gut Pathog doi: 10.1186/1757-4749-1-6 – volume: 121 start-page: 953 issue: 12 year: 1994 ident: 171_CR1 publication-title: Ann Intern Med doi: 10.7326/0003-4819-121-12-199412150-00009 – volume: 2015 start-page: 614127 year: 2015 ident: 171_CR18 publication-title: J Immunol Res. doi: 10.1155/2015/614127 – volume: 104 start-page: 13780 issue: 34 year: 2007 ident: 171_CR13 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0706625104 – volume: 341 start-page: 1437 issue: 8858 year: 1993 ident: 171_CR26 publication-title: Lancet doi: 10.1016/0140-6736(93)90882-H – volume: 54 start-page: 242 issue: 2 year: 2005 ident: 171_CR60 publication-title: Gut doi: 10.1136/gut.2004.044834 – ident: 171_CR30 – volume: 12 start-page: R60 issue: 6 year: 2011 ident: 171_CR72 publication-title: Genome Biol doi: 10.1186/gb-2011-12-6-r60 – volume: 22 start-page: 50 year: 2013 ident: 171_CR12 publication-title: Anaerobe. doi: 10.1016/j.anaerobe.2013.06.002 – volume: 21 start-page: 261 issue: 2 year: 2016 ident: 171_CR16 publication-title: Mol Psychiatry doi: 10.1038/mp.2015.29 – volume: 108 start-page: 17480 issue: 42 year: 2011 ident: 171_CR42 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.1107857108 – volume: 1 start-page: 74 year: 2003 ident: 171_CR7 publication-title: Health Qual Life Outcomes doi: 10.1186/1477-7525-1-74 – volume: 64 start-page: 573 issue: 6 year: 2008 ident: 171_CR2 publication-title: J Psychosom Res doi: 10.1016/j.jpsychores.2008.02.021 – volume: 15 start-page: 1183 issue: 8 year: 2009 ident: 171_CR49 publication-title: Inflamm Bowel Dis doi: 10.1002/ibd.20903 – volume: 160 start-page: 221 issue: 2 year: 2000 ident: 171_CR5 publication-title: Arch Intern Med doi: 10.1001/archinte.160.2.221 – volume: 197 start-page: 435 issue: 3 year: 2008 ident: 171_CR32 publication-title: J Infect Dis doi: 10.1086/525047 – volume: 55 start-page: 625 issue: Pt 5 year: 2006 ident: 171_CR57 publication-title: J Med Microbiol doi: 10.1099/jmm.0.46134-0 – volume: 65 start-page: 415 issue: 3 year: 2016 ident: 171_CR45 publication-title: Gut doi: 10.1136/gutjnl-2014-307649 – volume: 133 start-page: 24 issue: 1 year: 2007 ident: 171_CR53 publication-title: Gastroenterology doi: 10.1053/j.gastro.2007.04.005 – volume: 7 start-page: e39242 issue: 6 year: 2012 ident: 171_CR63 publication-title: PLoS One doi: 10.1371/journal.pone.0039242 – volume: 28 start-page: 613 issue: 4 year: 2013 ident: 171_CR35 publication-title: J Gastroenterol Hepatol doi: 10.1111/jgh.12073 – volume: 122 start-page: 44 issue: 1 year: 2002 ident: 171_CR58 publication-title: Gastroenterology doi: 10.1053/gast.2002.30294 – volume: 14 start-page: 67 issue: 1 year: 2014 ident: 171_CR36 publication-title: Endocr Metab Immune Disord Drug Targets doi: 10.2174/1871530314666140207103335 – volume: 14 start-page: 2380 issue: 15 year: 2000 ident: 171_CR50 publication-title: FASEB J doi: 10.1096/fj.00-0359fje – volume: 5 start-page: e10183 issue: 4 year: 2010 ident: 171_CR27 publication-title: PLoS One doi: 10.1371/journal.pone.0010183 – volume: 3 start-page: 858 issue: 10 year: 2011 ident: 171_CR52 publication-title: Nutrients doi: 10.3390/nu3100858 – volume: 102 start-page: 2220 issue: 10 year: 2007 ident: 171_CR4 publication-title: Am J Gastroenterol doi: 10.1111/j.1572-0241.2007.01479.x – volume: 72 start-page: 6288 issue: 9 year: 2006 ident: 171_CR31 publication-title: Appl Environ Microbiol doi: 10.1128/AEM.00246-06 – volume: 57 start-page: 601 issue: 2 year: 2013 ident: 171_CR23 publication-title: Hepatology doi: 10.1002/hep.26093 – volume: 14 start-page: 319 issue: 4 year: 2013 ident: 171_CR43 publication-title: EMBO Rep doi: 10.1038/embor.2013.27 – volume: 31 start-page: 3 issue: 3 year: 2012 ident: 171_CR8 publication-title: ACNEM J – volume: 100 start-page: 373 issue: 2 year: 2005 ident: 171_CR55 publication-title: Am J Gastroenterol doi: 10.1111/j.1572-0241.2005.40312.x – ident: 171_CR17 doi: 10.1126/sciadv.1400121 – volume: 105 start-page: 16731 issue: 43 year: 2008 ident: 171_CR37 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.0804812105 – volume: 8 start-page: 4 year: 2009 ident: 171_CR9 publication-title: Nutr J. doi: 10.1186/1475-2891-8-4 – volume-title: The doctor’s guide to chronic fatigue syndrome year: 1995 ident: 171_CR65 – volume: 13 start-page: S8 issue: Suppl 1 year: 1991 ident: 171_CR6 publication-title: Rev Infect Dis. doi: 10.1093/clinids/13.Supplement_1.S8 – volume: 22 start-page: 512 issue: 5 year: 2010 ident: 171_CR54 publication-title: Neurogastroenterol Motil – volume: 23 start-page: 621 issue: 4 year: 2009 ident: 171_CR11 publication-title: In Vivo – volume: 4 start-page: 127 issue: 2 year: 2011 ident: 171_CR39 publication-title: Mucosal Immunol doi: 10.1038/mi.2010.87 – volume: 352 start-page: 15 issue: 1–2 year: 2005 ident: 171_CR21 publication-title: Clinica Chimica Acta doi: 10.1016/j.cccn.2004.09.001 – volume: 143 start-page: 11 issue: 1 year: 1992 ident: 171_CR20 publication-title: Res Immunol doi: 10.1016/0923-2494(92)80074-U – volume: 63 start-page: 2435 issue: 7 year: 1995 ident: 171_CR29 publication-title: Infect Immun doi: 10.1128/IAI.63.7.2435-2442.1995 – volume: 178 start-page: 5973 issue: 9 year: 2007 ident: 171_CR28 publication-title: J Immunol doi: 10.4049/jimmunol.178.9.5973 – volume: 339 start-page: 708 issue: 6120 year: 2013 ident: 171_CR44 publication-title: Science doi: 10.1126/science.1232467 – volume: 108 start-page: 4516 issue: Suppl 1 year: 2011 ident: 171_CR67 publication-title: Proc Natl Acad Sci U S A. doi: 10.1073/pnas.1000080107 – volume: 2 start-page: 100 issue: 2 year: 2009 ident: 171_CR24 publication-title: Mucosal Immunol doi: 10.1038/mi.2008.79 – volume: 43 start-page: 213 issue: 2 year: 2005 ident: 171_CR56 publication-title: FEMS Immunol Med Microbiol doi: 10.1016/j.femsim.2004.08.009 – volume: 12 start-page: 1136 issue: 12 year: 2006 ident: 171_CR38 publication-title: Inflamm Bowel Dis doi: 10.1097/01.mib.0000235828.09305.0c |
SSID | ssj0000914748 |
Score | 2.5144103 |
Snippet | Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).... Background Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome... BACKGROUNDGastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome... |
SourceID | pubmedcentral proquest gale pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | 30 |
SubjectTerms | Acute-Phase Proteins - metabolism Adult Aged Bacteria - classification Biodiversity Biological diversity C-reactive protein C-Reactive Protein - metabolism Carrier Proteins - metabolism Case-Control Studies Chronic fatigue syndrome DNA, Ribosomal - analysis Dysbiosis - diagnosis Fatigue Syndrome, Chronic - metabolism Fatigue Syndrome, Chronic - microbiology Fatty Acid-Binding Proteins - metabolism Fatty acids Feces - microbiology Female Firmicutes - isolation & purification Gastrointestinal Microbiome Health aspects High-Throughput Nucleotide Sequencing - methods Humans Lipopolysaccharide Receptors - metabolism Machine learning Male Membrane Glycoproteins - metabolism Microbiota (Symbiotic organisms) Middle Aged Mitogens Phylogeny Protein binding RNA RNA, Ribosomal, 16S - analysis Sequence Analysis, DNA - methods Young Adult |
SummonAdditionalLinks | – databaseName: ProQuest Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3di9QwEA96IvgifrvnKVEEQSjbbdKkfZJDPE5BH04P9i3kq3sLu-1qtw_7D9zf7Uya1qsP97TQTLptZzIfmclvCHnPSmMyGxAArEnA3rLEgNlKPEwopSt0GQ7Sfv8hzi_5t2W-jBtubSyrHHRiUNSusbhHPl8UfVIoTz_tfifYNQqzq7GFxl1yD6HLUKrlUo57LGALueRFTGYuCjFvIZwQWL2FYbSE6Glijv5Xyjes0rRi8oYJOntEHkbfkZ72zH5M7vj6Cbnfd5M8PCXXFwjD6h11Q60F1bWjIR8OV7F4PFZo0aai4PjRVben23UPxbT1dF3T9Xg-q6W4RUu3B70B5UhRAeyu9KbZHjxWzLVz28Pq0gp4u-o8HbAPnpHLsy-_Pp8nsc1CYvOs2IONSk3FrC0s5xrCM12Aj4coMb40qVnoSnK_EC7PBbclz1lWGSacSJlzzEj4fU6O6qb2Lwk1zArtvNSZTjkvU5Pq3IBDqNPKVz5jM5IOX1vZiEGOrTA2KsQihVA9gxTWnSGDFJ-Rj-OUXQ_AcRvxO2ShQmCLGitnVrprW_X154U65aLMQFkJOSMfIlHVwJ9bHQ8iwCsgFtaE8mRCCSvPTocHSVFx5bfqn5zOyNtxGGdiNVvtmw5oZDhPLDk88ItesMZ3A3cSc7VwczkRuZEA8cCnI_X6KuCC8xLh_OTx7Y_1ijzIgvyLJGMn5Gj_p_OvwbHamzdh9fwFUt4j2w priority: 102 providerName: ProQuest |
Title | Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome |
URI | https://www.ncbi.nlm.nih.gov/pubmed/27338587 https://www.proquest.com/docview/1800823050 https://www.proquest.com/docview/1799561744 https://pubmed.ncbi.nlm.nih.gov/PMC4918027 |
Volume | 4 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bi9QwFA57QfBFvO_oOkQRBKFu26RJ-yCyyq6rsIuMDsxbSNJ0dmCmXbcz4PwBf7fnpBe2sogvLTQnTduTc2tOvkPIa5YZE1uPAGBNAPaWBQbMVuCgQybzVGd-I-35hTib8q-zZLZDuvJW7Qesbw3tsJ7U9Hr57tfP7QcQ-Pde4FNxVEOMIDAlC2NjCSHRLtkHwySxoMF56-17xZxFXPK0Xdu8tefAOv2to28YqWEC5Q2LdHqf3GtdSXrc8P4B2XHlQ3KnKS65fUR-TxCV1eU071IvqC5z6pfH4SrmkrcJW7QqKPiBdL5Z09WiQWZaOboo6aLfrlVT_GNLV1u9BF1JUR9cXepltdo6TKCrj2yDsksLYPV842gHhfCYTE9Pfnw6C9qqC4FN4nQNJis0BbM2tZxriNZ0Ci4fgsa4zIQm0oXkLhJ5kghuM56wuDBM5CJkec6MhPMTsldWpTsg1DArdO6kjnXIeRaaUCcG_EMdFq5wMRuRsPvayraQ5FgZY6l8aJIK1TBIYRoaMkjxEXnbd7lq8Dj-RfwKWagQ56LERJq53tS1-vJ9oo65yGLQXUKOyJuWqKhgcKvbfQnwCgiNNaA8HFCCINphczdTVDePVZQ2a5lJOCIv-2bsicltpas2QCP99mLJ4YGfNhOrfzfwLnHpFm4uB1OuJ0B48GFLubj0MOE8Q3Q_-ew_xn1O7sZeCEQQs0Oyt77euBfgbK3NmOzKmRyT_Y8nF98mY__LAo6fZ9HYC9cfE7AtZg |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbGEIKXiTsdAwwCISFFdRPHTh4QmoCpZZeHsUl982zH6Sq1SSGNUP8AP4ffyDm5sfCwtz1Fqo9z6bnb53wm5G0QG-PbCgHAGg_8beAZcFuegwmxTCIdV420xydifM6_TcPpFvnT9sJgWWVrEytDneQW18iHo6jeFArZp9UPD0-Nwt3V9giNWiwO3eYXpGzFx8kX4O873z_4evZ57DWnCng29KM1mGRm0sDayHKuIRvREYQ0CIriYsPMSKeSu5FIwlBwG_Mw8FMTiESwIEkCI-EK971FboPjZZjsyans1nTA93LJo2bzdBSJYQHpi8BqMUzbJWRrPff3vxO44gX7FZpXXN7BfbLTxKp0vxauB2TLZQ_Jnfr0ys0j8vsUYV9dQpO2toPqLKHV_jv8isXqTUUYzVMKgSadlWu6nNfQT0tH5xmdd_1gBcUlYbrc6AUYY4oGZ3WpF_ly47BCrxjaGsaXpiBLs9LRFmvhMTm_EQY8IdtZnrlnhJrACp04qX3NOI-ZYTo0EIBqlrrU-cGAsPbfVrbBPMejNxaqyn0ioWoGKaxzQwYpPiAfuimrGvDjOuI3yEKFQBoZVurMdFkUavL9VO1zEftgHIUckPcNUZrDw61uGh_gExB7q0e516METbf94VZSVGNpCvVPLwbkdTeMM7F6LnN5CTSy6l-WHF74aS1Y3bdB-Ip7w3Bz2RO5jgDxx_sj2fyywiHnMcIHyt3rX-sVuTs-Oz5SR5OTw-fknl_pgvD8YI9sr3-W7gUEdWvzstIkSi5uWnX_AnvtXzw |
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=Reduced+diversity+and+altered+composition+of+the+gut+microbiome+in+individuals+with+myalgic+encephalomyelitis%2Fchronic+fatigue+syndrome&rft.jtitle=Microbiome&rft.au=Giloteaux%2C+Ludovic&rft.au=Goodrich%2C+Julia+K&rft.au=Walters%2C+William+A&rft.au=Levine%2C+Susan+M&rft.date=2016-06-23&rft.eissn=2049-2618&rft.volume=4&rft.issue=1&rft.spage=30&rft.epage=30&rft_id=info:doi/10.1186%2Fs40168-016-0171-4&rft.externalDBID=NO_FULL_TEXT |
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 |