Gene expression in human NAFLD
Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD wi...
Saved in:
Published in | American journal of physiology: Gastrointestinal and liver physiology Vol. 294; no. 5; pp. G1281 - G1287 |
---|---|
Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Physiological Society
01.05.2008
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 ± 6.8%) and in subjects with low liver fat content (6.4 ± 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis. |
---|---|
AbstractList | Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 +/- 6.8%) and in subjects with low liver fat content (6.4 +/- 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis.Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 +/- 6.8%) and in subjects with low liver fat content (6.4 +/- 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis. Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 ± 6.8%) and in subjects with low liver fat content (6.4 ± 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis. [PUBLICATION ABSTRACT] Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 +/- 6.8%) and in subjects with low liver fat content (6.4 +/- 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis. Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use of Affymetrix GeneChips (17,601 genes), we investigated gene expression in the human liver of subjects with extreme steatosis due to NAFLD without histological signs of inflammation (liver fat 66.0 ± 6.8%) and in subjects with low liver fat content (6.4 ± 2.7%). The data were analyzed by using sequence-based reannotation of Affymetrix probes and a robust model-based normalization method. We identified genes involved in hepatic glucose and lipid metabolism, insulin signaling, inflammation, coagulation, and cell adhesion to be significantly associated with liver fat content. In addition, genes involved in ceramide signaling (MAP2K4) and metabolism (UGCG) were found to be positively associated with liver fat content. Genes involved in lipid metabolism (PLIN, ACADM), fatty acid transport (FABP4, CD36), amino acid catabolism (BCAT1), and inflammation (CCL2) were validated by real-time PCR and were found to be upregulated in subjects with high liver fat content. The data show that multiple changes in gene expression characterize simple steatosis. |
Author | Arkkila, Perttu Laitinen, Saara Westerbacka, Jukka Kolak, Maria Kotronen, Anna Puig, Oscar Yki-Järvinen, Hannele Fisher, Rachel M. Auvinen, Petri Greco, Dario Hamsten, Anders Kiviluoto, Tuula |
Author_xml | – sequence: 1 givenname: Dario surname: Greco fullname: Greco, Dario – sequence: 2 givenname: Anna surname: Kotronen fullname: Kotronen, Anna – sequence: 3 givenname: Jukka surname: Westerbacka fullname: Westerbacka, Jukka – sequence: 4 givenname: Oscar surname: Puig fullname: Puig, Oscar – sequence: 5 givenname: Perttu surname: Arkkila fullname: Arkkila, Perttu – sequence: 6 givenname: Tuula surname: Kiviluoto fullname: Kiviluoto, Tuula – sequence: 7 givenname: Saara surname: Laitinen fullname: Laitinen, Saara – sequence: 8 givenname: Maria surname: Kolak fullname: Kolak, Maria – sequence: 9 givenname: Rachel M. surname: Fisher fullname: Fisher, Rachel M. – sequence: 10 givenname: Anders surname: Hamsten fullname: Hamsten, Anders – sequence: 11 givenname: Petri surname: Auvinen fullname: Auvinen, Petri – sequence: 12 givenname: Hannele surname: Yki-Järvinen fullname: Yki-Järvinen, Hannele |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/18388185$$D View this record in MEDLINE/PubMed http://kipublications.ki.se/Default.aspx?queryparsed=id:116968127$$DView record from Swedish Publication Index |
BookMark | eNp1kTtPwzAUhS1URB-wM1UVA1uKH7HjjFWhBamCBWbLSWxwSZxgJwL-PU5bGCox2Tr-zrHuPWMwsLVVAFwiOEeI4hu5bV7NHEKYxHMMIT8BoyDjCNE4GYARRCmJEKfJEIy93waOYoTOwBBxwnl4GIHpWlk1U1-NU96b2s6Mnb11lbSzx8Vqc3sOTrUsvbo4nBPwsrp7Xt5Hm6f1w3KxifIY8zbKWV6QIksJIwxSHROlOU8YhkqmsOAUFiSGmvEillSxJNdppnVGpCRBpDAlExDtc_2narpMNM5U0n2LWhpxkN7DTQnKKIxR4K_3fOPqj075VlTG56ospVV15wVL-xERCeDVEbitO2fDLAITTDllvE-bHqAuq1Tx9_vvmgLA9kDuau-d0iI3rWzDvlonTSkQFH0fYteH2PUh-j6CER4Z_7L_s_wA5USLaA |
CODEN | APGPDF |
CitedBy_id | crossref_primary_10_3389_fmed_2022_1060244 crossref_primary_10_3390_biom13101506 crossref_primary_10_1053_j_ajkd_2014_05_019 crossref_primary_10_3390_nu15214574 crossref_primary_10_5713_ajas_2013_13422 crossref_primary_10_1111_j_2040_1124_2011_00111_x crossref_primary_10_1289_ehp_1307421 crossref_primary_10_1038_ijo_2016_223 crossref_primary_10_1111_j_1467_789X_2009_00657_x crossref_primary_10_1002_adhm_202302943 crossref_primary_10_1186_1471_230X_14_89 crossref_primary_10_1186_s12944_020_01210_0 crossref_primary_10_3390_nu13103532 crossref_primary_10_1111_j_1872_034X_2011_00815_x crossref_primary_10_1530_EC_19_0023 crossref_primary_10_1038_ncomms10043 crossref_primary_10_1038_s41574_019_0256_9 crossref_primary_10_3390_nu7042440 crossref_primary_10_1007_s11695_010_0171_6 crossref_primary_10_3390_nu15092068 crossref_primary_10_1097_MD_0000000000007743 crossref_primary_10_1021_acs_jproteome_0c00713 crossref_primary_10_1194_jlr_M039453 crossref_primary_10_1016_j_toxlet_2024_04_010 crossref_primary_10_1038_s44320_023_00007_4 crossref_primary_10_3390_ijms24032313 crossref_primary_10_1074_jbc_M115_640292 crossref_primary_10_1113_EP092001 crossref_primary_10_1080_10495398_2023_2214601 crossref_primary_10_1210_en_2016_1039 crossref_primary_10_1111_apha_12022 crossref_primary_10_1126_scisignal_272re3 crossref_primary_10_1002_hep_26525 crossref_primary_10_1016_j_bbadis_2017_07_019 crossref_primary_10_1007_s00535_010_0251_3 crossref_primary_10_1098_rsif_2017_0443 crossref_primary_10_1007_s00438_015_1037_3 crossref_primary_10_1016_j_jlr_2025_100757 crossref_primary_10_1111_j_1478_3231_2011_02451_x crossref_primary_10_1111_acel_13260 crossref_primary_10_1210_er_2018_00158 crossref_primary_10_1111_apt_14952 crossref_primary_10_2337_dc13_2835 crossref_primary_10_1111_hepr_12816 crossref_primary_10_1016_j_taap_2016_12_019 crossref_primary_10_1038_s42003_018_0069_8 crossref_primary_10_1155_2012_107434 crossref_primary_10_1016_j_chemosphere_2018_12_177 crossref_primary_10_3389_fphys_2023_1106075 crossref_primary_10_1155_2014_418185 crossref_primary_10_1371_journal_pone_0024877 crossref_primary_10_1016_j_tem_2008_08_005 crossref_primary_10_1055_a_2289_2298 crossref_primary_10_1586_egh_09_32 crossref_primary_10_3390_ijms22084156 crossref_primary_10_1080_10408398_2020_1736510 crossref_primary_10_1016_j_abb_2010_09_001 crossref_primary_10_3389_fphar_2020_603926 crossref_primary_10_3390_ijms23136897 crossref_primary_10_1016_j_taap_2020_115169 crossref_primary_10_1371_journal_pgen_1000976 crossref_primary_10_1371_journal_pone_0030696 crossref_primary_10_18632_aging_102285 crossref_primary_10_1002_hep_23280 crossref_primary_10_1016_j_metabol_2024_156016 crossref_primary_10_3390_nu11122871 crossref_primary_10_1002_hep_26672 crossref_primary_10_1016_j_numecd_2008_12_015 crossref_primary_10_1097_MPG_0b013e31822578db crossref_primary_10_1016_j_biopha_2018_11_027 crossref_primary_10_1016_j_clinre_2016_11_002 crossref_primary_10_3109_13813455_2010_543136 crossref_primary_10_1002_advs_202002273 crossref_primary_10_1002_oby_23711 crossref_primary_10_1007_s12072_013_9479_3 crossref_primary_10_1016_j_jnutbio_2024_109581 crossref_primary_10_1007_s10695_017_0342_7 crossref_primary_10_1038_s41419_022_04812_x crossref_primary_10_1152_ajpendo_00161_2022 crossref_primary_10_1016_j_gene_2016_09_047 crossref_primary_10_1152_ajpheart_00657_2020 crossref_primary_10_1016_j_nutres_2019_07_001 crossref_primary_10_1517_17425255_2011_577740 crossref_primary_10_1194_jlr_M016246 crossref_primary_10_3389_fimmu_2020_634409 crossref_primary_10_1016_j_freeradbiomed_2024_04_238 crossref_primary_10_1186_s12986_023_00738_z crossref_primary_10_1111_jcmm_12328 crossref_primary_10_1007_s00018_018_2860_6 crossref_primary_10_1007_s11684_015_0410_2 crossref_primary_10_1155_2019_9685607 crossref_primary_10_1146_annurev_nutr_071812_161220 crossref_primary_10_1111_obr_12333 crossref_primary_10_1152_ajpendo_00511_2011 crossref_primary_10_1007_s10068_016_0142_3 crossref_primary_10_3892_wasj_2023_218 crossref_primary_10_1111_bcpt_12076 crossref_primary_10_1007_s11745_016_4155_8 crossref_primary_10_1016_j_metabol_2017_04_011 crossref_primary_10_3389_fphys_2023_1151389 crossref_primary_10_1016_j_gene_2022_147039 crossref_primary_10_1111_liv_14519 crossref_primary_10_1258_ebm_2011_011128 crossref_primary_10_1002_pmic_201200210 crossref_primary_10_3390_biom10091275 crossref_primary_10_1016_j_plipres_2022_101193 crossref_primary_10_1111_j_1872_034X_2011_00934_x crossref_primary_10_1038_s41598_021_92264_2 crossref_primary_10_1155_2014_403041 crossref_primary_10_1172_JCI46069 crossref_primary_10_1155_2020_4087928 crossref_primary_10_1186_s10020_021_00364_6 crossref_primary_10_1093_toxsci_kfaa032 crossref_primary_10_1111_eci_13622 crossref_primary_10_1155_2020_4020249 crossref_primary_10_3748_wjg_v26_i10_1029 crossref_primary_10_1038_s41598_021_87761_3 crossref_primary_10_1007_s00726_014_1894_9 crossref_primary_10_1016_j_gene_2012_04_050 crossref_primary_10_2353_ajpath_2010_090672 crossref_primary_10_1139_gen_2017_0164 crossref_primary_10_3390_cells10092502 crossref_primary_10_1155_2017_8234507 crossref_primary_10_1016_j_taap_2017_03_022 crossref_primary_10_1194_jlr_M041863 crossref_primary_10_1136_gutjnl_2012_303150 crossref_primary_10_1089_aid_2020_0177 crossref_primary_10_1093_jn_nxab249 crossref_primary_10_3390_ph13090222 crossref_primary_10_1007_s10142_013_0342_3 crossref_primary_10_1186_s10020_020_00164_4 crossref_primary_10_22141_2224_0721_17_4_2021_237350 crossref_primary_10_3389_fendo_2018_00548 crossref_primary_10_1016_j_metabol_2013_06_012 crossref_primary_10_1002_hep_28518 crossref_primary_10_1186_s13098_018_0307_8 crossref_primary_10_1016_j_jhep_2019_12_004 crossref_primary_10_1016_j_jhep_2018_04_006 crossref_primary_10_1002_hep4_1107 crossref_primary_10_1016_j_atherosclerosis_2011_05_014 crossref_primary_10_1080_03602532_2017_1293683 crossref_primary_10_1038_s41467_023_37209_1 crossref_primary_10_1186_s12906_021_03278_2 crossref_primary_10_1556_oh_2010_28816 crossref_primary_10_1007_s11356_022_21090_4 crossref_primary_10_1007_s40005_024_00668_9 crossref_primary_10_1016_j_toxlet_2022_02_002 crossref_primary_10_3390_medicina59030638 crossref_primary_10_1002_hep_24290 crossref_primary_10_1016_j_bbadis_2023_166810 crossref_primary_10_1038_s41598_019_57127_x crossref_primary_10_1002_hep_28776 crossref_primary_10_1038_s41598_019_56235_y crossref_primary_10_2353_ajpath_2010_090895 crossref_primary_10_3389_fcell_2020_596329 crossref_primary_10_3390_metabo14010012 crossref_primary_10_3945_an_113_004648 crossref_primary_10_3390_ijms21197097 crossref_primary_10_1016_j_gendis_2014_07_007 crossref_primary_10_1194_jlr_M037812 crossref_primary_10_3389_fimmu_2021_747794 crossref_primary_10_3390_ijms232415931 crossref_primary_10_1371_journal_pone_0204308 crossref_primary_10_1016_j_jcmgh_2022_02_018 crossref_primary_10_1016_j_bbrc_2015_02_046 crossref_primary_10_1053_j_gastro_2009_01_050 crossref_primary_10_1172_jci_insight_157948 crossref_primary_10_1053_j_gastro_2016_08_057 crossref_primary_10_1038_s41418_019_0453_z crossref_primary_10_5812_hepatmon_131523 crossref_primary_10_1038_s41387_022_00213_3 crossref_primary_10_1016_j_abb_2018_07_007 crossref_primary_10_1096_fj_202301748R crossref_primary_10_3389_fcell_2021_735001 crossref_primary_10_1002_mnfr_201801054 crossref_primary_10_1186_s13148_018_0490_3 crossref_primary_10_1210_jc_2019_00368 crossref_primary_10_3350_cmh_2013_19_3_210 crossref_primary_10_1002_hep4_1801 crossref_primary_10_1038_labinvest_2011_159 crossref_primary_10_1002_hep_31822 crossref_primary_10_3390_nu15030529 crossref_primary_10_3390_nu7064995 crossref_primary_10_1186_s12944_019_1154_9 crossref_primary_10_1093_toxsci_kfw018 crossref_primary_10_2337_db18_1055 crossref_primary_10_1038_oby_2009_89 crossref_primary_10_1002_jat_4272 crossref_primary_10_1111_jdi_13735 crossref_primary_10_1111_j_1365_2796_2011_02442_x crossref_primary_10_1248_bpb_b12_01000 crossref_primary_10_3390_medicina58060761 crossref_primary_10_3389_fbioe_2022_858558 crossref_primary_10_3389_fendo_2021_733625 crossref_primary_10_5009_gnl210106 crossref_primary_10_1016_j_tem_2008_11_001 crossref_primary_10_1038_srep28178 crossref_primary_10_3389_fphar_2022_1005312 crossref_primary_10_1002_jat_3612 crossref_primary_10_1371_journal_pone_0103071 crossref_primary_10_1016_j_bbrc_2014_03_103 crossref_primary_10_3390_metabo13111115 crossref_primary_10_1152_ajpendo_00338_2015 crossref_primary_10_18632_oncotarget_7249 crossref_primary_10_1016_j_jconrel_2023_01_039 crossref_primary_10_1002_lipd_12367 crossref_primary_10_3168_jds_2023_23282 crossref_primary_10_1177_09731296241258540 crossref_primary_10_5717_jenb_2014_18_4_339 crossref_primary_10_3390_biology10020092 crossref_primary_10_1016_j_jff_2019_03_048 crossref_primary_10_3389_fmed_2020_00450 crossref_primary_10_1038_labinvest_2014_3 crossref_primary_10_1021_jf203058x crossref_primary_10_1097_HC9_0000000000000623 crossref_primary_10_1007_s00535_013_0758_5 crossref_primary_10_1016_j_tox_2012_07_007 crossref_primary_10_1016_j_bcp_2010_07_031 crossref_primary_10_1016_j_jhep_2013_12_009 crossref_primary_10_1016_j_cmet_2015_09_023 crossref_primary_10_1080_17425255_2017_1314461 crossref_primary_10_1016_j_freeradbiomed_2021_04_008 crossref_primary_10_1146_annurev_pathol_020117_043617 crossref_primary_10_3390_ijms23063107 crossref_primary_10_1074_jbc_M116_726737 crossref_primary_10_1080_10715762_2021_1876856 crossref_primary_10_1371_journal_pone_0155163 crossref_primary_10_1038_s41419_020_03003_w crossref_primary_10_1111_j_1365_2893_2012_01641_x crossref_primary_10_1016_j_phrs_2021_105879 crossref_primary_10_1177_0192623311422078 crossref_primary_10_1038_nrgastro_2017_32 crossref_primary_10_1002_cam4_23 crossref_primary_10_1124_dmd_111_040592 crossref_primary_10_2147_DDDT_S386982 crossref_primary_10_1021_acs_analchem_0c04866 crossref_primary_10_1053_j_gastro_2010_03_033 crossref_primary_10_1097_MED_0b013e3283293015 crossref_primary_10_1038_ijo_2017_115 crossref_primary_10_4254_wjh_v11_i8_619 crossref_primary_10_1016_j_bbalip_2012_01_006 crossref_primary_10_1016_j_cyto_2018_10_010 crossref_primary_10_1016_j_advms_2020_11_004 crossref_primary_10_1038_labinvest_2010_143 crossref_primary_10_1111_obr_12298 crossref_primary_10_1002_ejlt_202100213 crossref_primary_10_1089_jmf_2015_3623 crossref_primary_10_1073_pnas_0904944106 crossref_primary_10_3181_0902_MR_61 crossref_primary_10_1155_2009_952734 crossref_primary_10_3389_fnut_2024_1290540 crossref_primary_10_1021_acs_jafc_8b05032 crossref_primary_10_1016_j_taap_2011_08_002 crossref_primary_10_1155_2022_3474723 crossref_primary_10_1002_hep_28475 crossref_primary_10_1007_s10620_011_1599_9 crossref_primary_10_1016_j_metabol_2024_155905 crossref_primary_10_1038_s41390_023_02714_y crossref_primary_10_3892_ol_2016_4969 crossref_primary_10_2217_clp_09_85 crossref_primary_10_3390_ijerph18052225 crossref_primary_10_1186_s13059_023_03075_9 crossref_primary_10_1210_en_2015_1866 crossref_primary_10_1016_j_cellsig_2021_110043 crossref_primary_10_1002_biof_1307 crossref_primary_10_1016_j_eclnm_2010_09_001 crossref_primary_10_1371_journal_pone_0004977 crossref_primary_10_1016_j_lfs_2020_118507 crossref_primary_10_1096_fj_201802842RR crossref_primary_10_1007_s00253_021_11612_4 crossref_primary_10_3390_ijms160612213 crossref_primary_10_2217_clp_09_57 crossref_primary_10_1007_s00795_019_00216_7 crossref_primary_10_1016_j_fct_2014_04_011 crossref_primary_10_1016_j_intimp_2021_107915 crossref_primary_10_1146_annurev_pathol_012615_044224 crossref_primary_10_1038_nrgastro_2013_41 crossref_primary_10_1111_obr_13248 crossref_primary_10_1021_acs_molpharmaceut_8b00159 crossref_primary_10_1016_j_jnutbio_2014_01_008 crossref_primary_10_1016_j_mce_2012_04_013 crossref_primary_10_1016_j_molmet_2024_102080 crossref_primary_10_4161_adip_19132 crossref_primary_10_3389_fendo_2022_957616 crossref_primary_10_1016_j_beem_2013_11_003 crossref_primary_10_1016_j_bbacli_2015_02_001 crossref_primary_10_1038_ncomms4083 crossref_primary_10_1016_j_tem_2017_03_005 crossref_primary_10_1038_s41398_019_0666_4 crossref_primary_10_3109_03602532_2011_577781 crossref_primary_10_1007_s00360_014_0845_9 crossref_primary_10_1007_s11010_021_04260_9 crossref_primary_10_1016_j_lfs_2022_120956 crossref_primary_10_3390_ijms24087454 crossref_primary_10_1053_j_gastro_2017_01_015 crossref_primary_10_1002_hep_27839 crossref_primary_10_1016_j_metabol_2009_07_041 crossref_primary_10_3390_molecules25215053 crossref_primary_10_1016_j_arteri_2015_03_003 crossref_primary_10_3390_biom12060824 crossref_primary_10_3390_biomedicines12071467 crossref_primary_10_1007_s13318_022_00802_8 |
Cites_doi | 10.1053/gast.2001.23256 10.2337/db07-0156 10.2202/1544-6115.1027 10.1093/biostatistics/4.2.249 10.3892/ijmm.20.3.351 10.1073/pnas.83.17.6543 10.1055/s-2006-927368 10.1172/JCI6223 10.2337/diabetes.50.8.1844 10.1161/ATVBAHA.107.147538 10.1053/jhep.2003.50161 10.1136/jech.45.2.131 10.1161/01.CIR.102.1.42 10.1007/s00125-007-0790-1 10.1073/pnas.1133870100 10.1093/nar/gkh036 10.1016/j.jhep.2006.10.021 10.1007/s00018-006-6600-y 10.1186/1471-2105-8-48 10.2337/diabetes.48.1.121 10.1038/380075a0 10.1172/JCI200319246 10.1016/S0268-9499(96)80650-3 10.1053/jhep.2003.50193 10.1111/j.1478-3231.2005.01117.x 10.1016/j.jhep.2006.02.011 10.1007/s11695-007-9187-y 10.1210/jc.2004-1983 10.1038/labinvest.3700374 10.2337/diabetes.49.5.749 10.1111/j.1749-6632.1999.tb07794.x 10.2337/diabetes.54.8.2305 10.1161/01.ATV.19.11.2701 10.1186/gb-2007-8-9-r183 10.1301/nr.2007.jun.S39-S46 10.1073/pnas.93.10.4638 10.1016/j.cmet.2007.01.002 10.1080/00365520500264953 10.1007/s00125-005-1682-x 10.1074/jbc.M103705200 10.1194/jlr.R200017-JLR200 10.1002/hep.21327 10.1093/bioinformatics/19.2.185 10.1210/jcem.87.7.8638 10.1194/jlr.R200008-JLR200 10.1016/S0021-9258(18)83273-2 10.1007/s00125-005-0125-z 10.1093/nar/gni179 10.1172/JCI200319451 10.1002/hep.20838 10.1097/01.mco.0000172571.41149.52 10.1074/jbc.271.40.24698 10.1210/jc.2007-0482 10.1016/j.plipres.2005.11.002 10.1038/372794a0 10.1002/0470857897.ch8 10.2337/db07-0111 10.1007/BF03194597 10.1210/jc.2004-0188 |
ContentType | Journal Article |
Copyright | Copyright American Physiological Society May 2008 |
Copyright_xml | – notice: Copyright American Physiological Society May 2008 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM K9. 7X8 ADTPV AOWAS |
DOI | 10.1152/ajpgi.00074.2008 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic SwePub SwePub Articles |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) ProQuest Health & Medical Complete (Alumni) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic ProQuest Health & Medical Complete (Alumni) MEDLINE CrossRef |
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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Anatomy & Physiology |
EISSN | 1522-1547 |
EndPage | G1287 |
ExternalDocumentID | oai_swepub_ki_se_565041 1479006001 18388185 10_1152_ajpgi_00074_2008 |
Genre | Research Support, Non-U.S. Gov't Journal Article Feature |
GroupedDBID | --- 23M 2WC 39C 4.4 53G 5GY 5VS 6J9 8M5 AAFWJ AAYXX ABJNI ACPRK ADBBV AENEX AFFNX ALMA_UNASSIGNED_HOLDINGS BAWUL BKKCC BKOMP C1A CITATION E3Z EBS EJD EMOBN F5P GX1 H13 ITBOX KQ8 OK1 P2P PQQKQ RAP RHI RPL RPRKH TR2 W8F WOQ XSW YSK YYP CGR CUY CVF ECM EIF NPM K9. 7X8 ADTPV AOWAS |
ID | FETCH-LOGICAL-c428t-c6cd3db9363605f43ef887620ea90d850d340f68d4a5e67cf9bffb3aa3f685093 |
ISSN | 0193-1857 |
IngestDate | Mon Aug 25 03:36:22 EDT 2025 Fri Jul 11 02:22:10 EDT 2025 Mon Jun 30 07:56:29 EDT 2025 Mon Jul 21 05:42:40 EDT 2025 Tue Jul 01 00:25:19 EDT 2025 Thu Apr 24 23:09:03 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 5 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c428t-c6cd3db9363605f43ef887620ea90d850d340f68d4a5e67cf9bffb3aa3f685093 |
Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
PMID | 18388185 |
PQID | 232585681 |
PQPubID | 48585 |
ParticipantIDs | swepub_primary_oai_swepub_ki_se_565041 proquest_miscellaneous_69183813 proquest_journals_232585681 pubmed_primary_18388185 crossref_citationtrail_10_1152_ajpgi_00074_2008 crossref_primary_10_1152_ajpgi_00074_2008 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2008-05-01 |
PublicationDateYYYYMMDD | 2008-05-01 |
PublicationDate_xml | – month: 05 year: 2008 text: 2008-05-01 day: 01 |
PublicationDecade | 2000 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Bethesda |
PublicationTitle | American journal of physiology: Gastrointestinal and liver physiology |
PublicationTitleAlternate | Am J Physiol Gastrointest Liver Physiol |
PublicationYear | 2008 |
Publisher | American Physiological Society |
Publisher_xml | – name: American Physiological Society |
References | R61 R60 R62 R21 R20 R23 R22 R25 R24 R27 R29 R28 R1 R2 R3 R4 R5 R6 R7 R8 R9 R30 R32 R31 R34 R33 R36 R35 R38 R37 R39 R41 R40 R43 R42 R45 R44 R47 R46 R49 R48 R50 R52 R51 R10 R54 R53 R12 R56 R11 R55 R14 R58 R13 R57 R16 R15 R59 R18 R17 R19 |
References_xml | – ident: R49 doi: 10.1053/gast.2001.23256 – ident: R58 doi: 10.2337/db07-0156 – ident: R52 doi: 10.2202/1544-6115.1027 – ident: R27 doi: 10.1093/biostatistics/4.2.249 – ident: R32 doi: 10.3892/ijmm.20.3.351 – ident: R41 doi: 10.1073/pnas.83.17.6543 – ident: R8 doi: 10.1055/s-2006-927368 – ident: R31 doi: 10.1172/JCI6223 – ident: R38 doi: 10.2337/diabetes.50.8.1844 – ident: R35 doi: 10.1161/ATVBAHA.107.147538 – ident: R1 – ident: R39 doi: 10.1053/jhep.2003.50161 – ident: R40 doi: 10.1136/jech.45.2.131 – ident: R18 doi: 10.1161/01.CIR.102.1.42 – ident: R3 doi: 10.1007/s00125-007-0790-1 – ident: R50 doi: 10.1073/pnas.1133870100 – ident: R19 doi: 10.1093/nar/gkh036 – ident: R45 doi: 10.1016/j.jhep.2006.10.021 – ident: R36 doi: 10.1007/s00018-006-6600-y – ident: R48 doi: 10.1186/1471-2105-8-48 – ident: R42 doi: 10.2337/diabetes.48.1.121 – ident: R56 doi: 10.1038/380075a0 – ident: R43 – ident: R57 doi: 10.1172/JCI200319246 – ident: R12 doi: 10.1016/S0268-9499(96)80650-3 – ident: R44 doi: 10.1053/jhep.2003.50193 – ident: R62 doi: 10.1111/j.1478-3231.2005.01117.x – ident: R20 doi: 10.1016/j.jhep.2006.02.011 – ident: R4 doi: 10.1007/s11695-007-9187-y – ident: R59 doi: 10.1210/jc.2004-1983 – ident: R10 doi: 10.1038/labinvest.3700374 – ident: R46 doi: 10.2337/diabetes.49.5.749 – ident: R37 doi: 10.1111/j.1749-6632.1999.tb07794.x – ident: R15 doi: 10.2337/diabetes.54.8.2305 – ident: R9 doi: 10.1161/01.ATV.19.11.2701 – ident: R24 doi: 10.1186/gb-2007-8-9-r183 – ident: R23 doi: 10.1301/nr.2007.jun.S39-S46 – ident: R25 doi: 10.1073/pnas.93.10.4638 – ident: R22 doi: 10.1016/j.cmet.2007.01.002 – ident: R21 doi: 10.1080/00365520500264953 – ident: R7 doi: 10.1007/s00125-005-1682-x – ident: R54 doi: 10.1074/jbc.M103705200 – ident: R14 doi: 10.1194/jlr.R200017-JLR200 – ident: R16 doi: 10.1002/hep.21327 – ident: R5 doi: 10.1093/bioinformatics/19.2.185 – ident: R51 doi: 10.1210/jcem.87.7.8638 – ident: R29 doi: 10.1194/jlr.R200008-JLR200 – ident: R55 doi: 10.1016/S0021-9258(18)83273-2 – ident: R2 doi: 10.1007/s00125-005-0125-z – ident: R13 doi: 10.1093/nar/gni179 – ident: R60 doi: 10.1172/JCI200319451 – ident: R61 doi: 10.1002/hep.20838 – ident: R6 doi: 10.1097/01.mco.0000172571.41149.52 – ident: R17 doi: 10.1074/jbc.271.40.24698 – ident: R34 doi: 10.1210/jc.2007-0482 – ident: R53 doi: 10.1016/j.plipres.2005.11.002 – ident: R47 doi: 10.1038/372794a0 – ident: R30 doi: 10.1002/0470857897.ch8 – ident: R33 doi: 10.2337/db07-0111 – ident: R11 doi: 10.1007/BF03194597 – ident: R28 doi: 10.1210/jc.2004-0188 |
SSID | ssj0005211 |
Score | 2.4257157 |
Snippet | Despite the high prevalence of nonalcoholic fatty liver disease (NAFLD), little is known of its pathogenesis based on study of human liver samples. By the use... |
SourceID | swepub proquest pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | G1281 |
SubjectTerms | Acyl-CoA Dehydrogenase - genetics Adult Biochemistry Carbohydrate Metabolism - genetics Carrier Proteins CD36 Antigens - genetics Chemokine CCL2 - genetics Down-Regulation - genetics Extracellular Matrix Proteins - genetics Fatty Acid-Binding Proteins - genetics Fatty acids Fatty Liver - genetics Female Gene expression Gene Expression Profiling Genes Humans Inflammation - genetics Intracellular Signaling Peptides and Proteins - genetics Lipid Metabolism - genetics Liver diseases Middle Aged Oligonucleotide Array Sequence Analysis Perilipin-1 Phosphoproteins - genetics Reverse Transcriptase Polymerase Chain Reaction Signal transduction Studies Transaminases - genetics Up-Regulation - genetics |
Title | Gene expression in human NAFLD |
URI | https://www.ncbi.nlm.nih.gov/pubmed/18388185 https://www.proquest.com/docview/232585681 https://www.proquest.com/docview/69183813 http://kipublications.ki.se/Default.aspx?queryparsed=id:116968127 |
Volume | 294 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZQkRAXBC2PUCg5oEoIpU1iOzjHFdBWlJYitVJvlu3Y1dKSVN3sAX4940depaDCJYoc72bl-Xb8jT3-BqHXSmZYYFwlBdEmITJVCVMkSyoqdUYME7nbMT04LPZOyKdTetrVcA-nS1q5pX7eeK7kf6wKbWBXe0r2Hyzbfyk0wD3YF65gYbjeysZWM9pq9PtcVpez6GvuHc52Pn8Y885-Y2akFOEWNfxhFTx7uysW7VVj1SPgT18HBYELm7Ux6jjK1lHNJF94v7Fr6t6HDaG_k2GQQp2LyQ7U0XLuPMyXyZoDGzL8umXIEidWRWrsR3NfrTgAho684q7drrvZX1Or_yq-XZ7Ntxydcdmtw9w0UcH2Uq78HO40ByKaWsGCuznEB7Z0xf5XNsrtyUIhSv8zu_1pmm9ff9eUj_wWZFxTkHWs4_ghehDChXjmbf8I3dH1Klqb1aJtvv-IN-Oj3jSr6N5ByJNYQxsWGfGAjHhexw4ZsUPGY3Sy8_H4_V4SKmEkCsLDNlGFqnAlS2zV3aghWBtmp7FUizKtGE0rTFJTsIoIqot3ypTSGImFwNAIlBA_QSs1gOAZinFaCghZS6qIIVQzUQmpgFYSYKZS5zpC2914cBVk4m21kgvuwkWaczeC3I2gK2IaoTf9Jy69RMpf-q53Q8wD4BccSD0ErQXLIvSqfwpezm5diVo3ywUvSph6WIYj9NTbZXgTtFvSGaHNgI_uyR8g8_y2HdfR_QH7L9BKe7XUL4GBtnLDoe0XlAGG4A |
linkProvider | Colorado Alliance of Research Libraries |
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=Gene+expression+in+human+NAFLD&rft.jtitle=American+journal+of+physiology%3A+Gastrointestinal+and+liver+physiology&rft.au=Greco%2C+D&rft.au=Kotronen%2C+A&rft.au=Westerbacka%2C+J&rft.au=Puig%2C+O&rft.date=2008-05-01&rft.issn=0193-1857&rft.volume=294&rft.issue=5&rft.spage=G1281&rft_id=info:doi/10.1152%2Fajpgi.00074.2008&rft.externalDocID=oai_swepub_ki_se_565041 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0193-1857&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0193-1857&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0193-1857&client=summon |