High-Coverage Targeted Lipidomics Reveals Novel Serum Lipid Predictors and Lipid Pathway Dysregulation Antecedent to Type 2 Diabetes Onset in Normoglycemic Chinese Adults
Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR). In the di...
Saved in:
Published in | Diabetes care Vol. 42; no. 11; pp. 2117 - 2126 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Diabetes Association
01.11.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR).
In the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score-matched control subjects (
= 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects (
= 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated.
At the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)-plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non-PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices.
These findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals. |
---|---|
AbstractList | Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR).OBJECTIVEComprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR).In the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score-matched control subjects (n = 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects (n = 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated.RESEARCH DESIGN AND METHODSIn the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score-matched control subjects (n = 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects (n = 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated.At the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)-plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non-PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices.RESULTSAt the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)-plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non-PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices.These findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals.CONCLUSIONSThese findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals. Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR). In the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score-matched control subjects ( = 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects ( = 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated. At the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)-plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non-PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices. These findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals. OBJECTIVE Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid coregulation antecedent to T2DM and identified novel lipid predictors for T2DM in individuals with normal glucose regulation (NGR). RESEARCH DESIGN AND METHODS In the discovery study, we tested 667 baseline serum lipids in subjects with incident diabetes and propensity score–matched control subjects (n = 200) from a prospective cohort comprising 3,821 Chinese adults with NGR. In the validation study, we tested 250 lipids in subjects with incident diabetes and matched control subjects (n = 724) from a pooled validation cohort of 14,651 individuals with NGR covering five geographical regions across China. Differential correlation network analyses revealed perturbed lipid coregulation antecedent to diabetes. The predictive value of a serum lipid panel independent of serum triglycerides and 2-h postload glucose was also evaluated. RESULTS At the level of false-discovery rate <0.05, 38 lipids, including triacylglycerols (TAGs), lyso-phosphatidylinositols, phosphatidylcholines, polyunsaturated fatty acid (PUFA)–plasmalogen phosphatidylethanolamines (PUFA-PEps), and cholesteryl esters, were significantly associated with T2DM risk in the discovery and validation cohorts. A preliminary study found most of the lipid predictors were also significantly associated with the risk of prediabetes. Differential correlation network analysis revealed that perturbations in intraclass (i.e., non–PUFA-TAG and PUFA-TAGs) and interclass (i.e., TAGs and PUFA-PEps) lipid coregulation preexisted before diabetes onset. Our lipid panel further improved prediction of incident diabetes over conventional clinical indices. CONCLUSIONS These findings revealed novel changes in lipid coregulation existing before diabetes onset and expanded the current panel of serum lipid predictors for T2DM in normoglycemic Chinese individuals. |
Author | Shui, Guanghou Tang, Xulei Xu, Yu Lam, Sin Man Xu, Min Lu, Jieli Wan, Qin Li, Bowen Wang, Shuangyuan Huo, Yanan Bi, Yufang Wang, Weiqing Chen, Lulu Wu, Xueyan Peng, Kui Shi, Lixin Li, Mian Ning, Guang |
Author_xml | – sequence: 1 givenname: Jieli surname: Lu fullname: Lu, Jieli organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 2 givenname: Sin Man surname: Lam fullname: Lam, Sin Man organization: State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China – sequence: 3 givenname: Qin surname: Wan fullname: Wan, Qin organization: Affiliated Hospital of Southwest Medical University, Luzhou, China – sequence: 4 givenname: Lixin surname: Shi fullname: Shi, Lixin organization: Affiliated Hospital of Guiyang Medical College, Guiyang, China – sequence: 5 givenname: Yanan surname: Huo fullname: Huo, Yanan organization: Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China – sequence: 6 givenname: Lulu orcidid: 0000-0001-9621-9231 surname: Chen fullname: Chen, Lulu organization: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China – sequence: 7 givenname: Xulei surname: Tang fullname: Tang, Xulei organization: The First Hospital of Lanzhou University, Lanzhou, China – sequence: 8 givenname: Bowen surname: Li fullname: Li, Bowen organization: State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China – sequence: 9 givenname: Xueyan surname: Wu fullname: Wu, Xueyan organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 10 givenname: Kui surname: Peng fullname: Peng, Kui organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 11 givenname: Mian surname: Li fullname: Li, Mian organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 12 givenname: Shuangyuan surname: Wang fullname: Wang, Shuangyuan organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 13 givenname: Yu surname: Xu fullname: Xu, Yu organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 14 givenname: Min orcidid: 0000-0003-4464-453X surname: Xu fullname: Xu, Min organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 15 givenname: Yufang surname: Bi fullname: Bi, Yufang organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 16 givenname: Guang orcidid: 0000-0002-5754-7635 surname: Ning fullname: Ning, Guang organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China – sequence: 17 givenname: Guanghou orcidid: 0000-0002-1621-9643 surname: Shui fullname: Shui, Guanghou organization: State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China – sequence: 18 givenname: Weiqing orcidid: 0000-0001-6027-3084 surname: Wang fullname: Wang, Weiqing organization: Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commision of the People’s Republic of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31455687$$D View this record in MEDLINE/PubMed |
BookMark | eNplkc1u1DAUhS1URKeFBS-ALLGhi1D_ZeIsR1NKkUYUwbCOHPsm4yqxB9spyivxlHiYzqasLF1_556rcy7QmfMOEHpLyUfGeXVtNK0LQgl5gRa05mVRlkKeoQWhoi7Kumbn6CLGB0KIEFK-QuecirJcymqB_tzZfles_SME1QPeqtBDAoM3dm-NH62O-Ds8ghoi_pqhAf-AMI3Hb_wtgLE6-RCxcuY0VGn3W834Zo4B-mlQyXqHVy6BBgMu4eTxdt4DZvjGqja7RXzvIiRsXfYIo--HWUO2xuuddRABr8w0pPgavezyHfDm6b1EP28_bdd3xeb-85f1alNoQUUqhG654oIAW3KpGWGkkkbxWoIkgnWi5WVdLQmrODWtksKokklZdp3OKmpqfok-HPfug_81QUzNaKOGYVAO_BQbxiSVolxSktH3z9AHPwWXr2sYp2SZU6YiU--eqKkdwTT7YEcV5ubUQgauj4AOPubUukbb9C-3FJQdGkqaQ8_Noefm0HNWXD1TnJb-z_4F8_KoHg |
CitedBy_id | crossref_primary_10_1016_j_jare_2023_11_026 crossref_primary_10_1016_j_jgg_2023_07_004 crossref_primary_10_1016_j_lfs_2024_123337 crossref_primary_10_1161_CIRCULATIONAHA_121_056805 crossref_primary_10_1016_j_jhazmat_2023_132082 crossref_primary_10_1002_gch2_202000088 crossref_primary_10_3389_fendo_2022_966823 crossref_primary_10_7554_eLife_59153 crossref_primary_10_1016_j_cmet_2020_06_016 crossref_primary_10_1097_ID9_0000000000000010 crossref_primary_10_3389_fimmu_2022_933137 crossref_primary_10_1016_j_jnutbio_2024_109696 crossref_primary_10_1016_j_ajcnut_2023_03_024 crossref_primary_10_1016_j_ecoenv_2022_114456 crossref_primary_10_2337_db21_1056 crossref_primary_10_1007_s13410_024_01408_3 crossref_primary_10_1016_j_aca_2020_09_060 crossref_primary_10_1186_s12933_022_01677_4 crossref_primary_10_1007_s12020_022_03009_8 crossref_primary_10_1016_j_jbi_2021_103796 crossref_primary_10_1021_acs_analchem_1c01379 crossref_primary_10_1186_s12986_022_00701_4 crossref_primary_10_1111_eci_13826 crossref_primary_10_3390_metabo11050287 crossref_primary_10_1021_acs_analchem_1c04929 crossref_primary_10_1186_s12967_023_04088_5 crossref_primary_10_1016_j_ajcnut_2024_08_015 crossref_primary_10_1016_j_isci_2021_102974 crossref_primary_10_1016_j_aca_2020_11_024 crossref_primary_10_1016_j_jare_2023_12_009 crossref_primary_10_3390_jcm12051736 crossref_primary_10_1038_s41467_023_41759_9 crossref_primary_10_1016_j_carbpol_2025_123311 crossref_primary_10_15252_embr_202254731 crossref_primary_10_1083_jcb_201907128 crossref_primary_10_3390_nu16213755 crossref_primary_10_1007_s11892_024_01533_7 crossref_primary_10_1371_journal_pone_0303569 crossref_primary_10_2337_dc21_1705 crossref_primary_10_2337_dc20_0884 crossref_primary_10_1097_MED_0000000000000704 crossref_primary_10_1007_s00125_020_05310_5 crossref_primary_10_3389_fphar_2022_827896 crossref_primary_10_1155_2022_4345037 crossref_primary_10_1016_j_celrep_2020_108278 crossref_primary_10_1002_ijc_33877 crossref_primary_10_1007_s11427_021_2099_7 crossref_primary_10_1210_clinem_dgab165 crossref_primary_10_1210_clinem_dgae276 crossref_primary_10_2337_dc21_0451 crossref_primary_10_1016_j_scib_2020_07_023 crossref_primary_10_1007_s11306_023_02066_y crossref_primary_10_1016_j_jgg_2019_11_009 crossref_primary_10_1155_2023_4702866 crossref_primary_10_2337_db23_0205 crossref_primary_10_3389_fendo_2023_1237934 crossref_primary_10_1155_2021_7722269 crossref_primary_10_3390_metabo11110747 crossref_primary_10_1016_j_aca_2020_08_048 crossref_primary_10_1016_j_xcrm_2022_100727 crossref_primary_10_1093_clinchem_hvac090 crossref_primary_10_1021_acs_jafc_1c01161 crossref_primary_10_1038_s41467_023_39482_6 crossref_primary_10_1016_j_diabres_2021_108699 crossref_primary_10_1016_j_ebiom_2024_105187 crossref_primary_10_1080_07435800_2025_2479256 crossref_primary_10_1002_advs_202001714 crossref_primary_10_1111_jdi_13924 crossref_primary_10_1016_j_cca_2024_119899 crossref_primary_10_1210_clinem_dgac555 crossref_primary_10_1093_lifemeta_loae032 crossref_primary_10_1136_bmjdrc_2020_001953 crossref_primary_10_1016_j_cca_2021_05_031 crossref_primary_10_1093_jrr_rrab128 crossref_primary_10_1007_s11306_022_01905_8 crossref_primary_10_1186_s12933_021_01246_1 crossref_primary_10_2337_db21_0050 crossref_primary_10_1016_j_jhazmat_2022_129031 crossref_primary_10_1155_2022_5559470 crossref_primary_10_1016_j_ebiom_2024_105008 crossref_primary_10_1016_j_ebiom_2021_103707 crossref_primary_10_1161_ATVBAHA_122_318871 crossref_primary_10_1186_s12933_024_02202_5 crossref_primary_10_1210_clinem_dgab011 crossref_primary_10_3389_fendo_2022_677202 crossref_primary_10_1210_clinem_dgae483 crossref_primary_10_1371_journal_pone_0291063 crossref_primary_10_1038_s41598_022_19159_8 crossref_primary_10_3389_fendo_2024_1414289 crossref_primary_10_1016_S1957_2557_19_30218_4 crossref_primary_10_1002_sscp_202300189 crossref_primary_10_1016_j_jpha_2025_101197 crossref_primary_10_1016_j_tjnut_2023_06_010 crossref_primary_10_1007_s00125_021_05611_3 crossref_primary_10_2147_DMSO_S441399 crossref_primary_10_1038_s41388_024_03185_z crossref_primary_10_3389_fphar_2021_713750 crossref_primary_10_1016_j_trac_2023_116973 crossref_primary_10_1021_acs_jproteome_3c00423 crossref_primary_10_2337_dc23_0314 crossref_primary_10_1021_acs_jproteome_0c00584 crossref_primary_10_1038_s41598_020_73723_8 crossref_primary_10_1038_s42003_024_06022_x crossref_primary_10_1039_D1FO01002F |
Cites_doi | 10.1016/S0140-6736(16)31575-6 10.1016/j.chroma.2011.05.011 10.1210/jc.2017-02176 10.2337/dc15-2251 10.1016/j.bbalip.2017.02.008 10.2337/db12-0707 10.1210/jc.2012-2517 10.1111/1753-0407.12108 10.2337/dc11-1838 10.2337/dc18-0840 10.1039/b913353d 10.1007/s00125-008-1232-4 10.1038/msb.2012.43 10.1194/jlr.M044826 10.2337/dc09-0197 10.3390/ijms18061126 10.1111/1753-0407.12489 10.2337/dc18-1390 10.1093/ije/dyw221 10.2337/db14-0509 10.1007/s00125-016-4041-1 10.1172/JCI44442 10.1016/j.bbalip.2014.11.005 10.1016/j.ijcard.2014.01.073 10.1373/clinchem.2014.228965 10.1111/1753-0407.12490 10.2337/dc16-0232 10.1073/pnas.83.14.5170 10.1001/jama.2017.7596 10.1001/jama.2013.168118 10.1016/j.jgg.2017.02.004 10.2337/db12-0495 10.1007/s00125-018-4599-x |
ContentType | Journal Article |
Copyright | 2019 by the American Diabetes Association. Copyright American Diabetes Association Nov 1, 2019 |
Copyright_xml | – notice: 2019 by the American Diabetes Association. – notice: Copyright American Diabetes Association Nov 1, 2019 |
DBID | AAYXX CITATION NPM K9. NAPCQ 7X8 |
DOI | 10.2337/dc19-0100 |
DatabaseName | CrossRef PubMed ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Premium MEDLINE - Academic |
DatabaseTitle | CrossRef PubMed ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Premium MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic PubMed ProQuest Health & Medical Complete (Alumni) |
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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1935-5548 |
EndPage | 2126 |
ExternalDocumentID | 31455687 10_2337_dc19_0100 |
Genre | Journal Article |
GroupedDBID | --- -ET ..I .XZ 08P 0R~ 18M 29F 2WC 4.4 53G 5GY 5RE 5RS 5VS 6PF 8R4 8R5 AAFWJ AAIKC AAMNW AAWTL AAYEP AAYXX ABOCM ABPPZ ACGFO ACGOD ADBBV AEGXH AENEX AERZD AFOSN AFRAH AHMBA AIAGR ALIPV ALMA_UNASSIGNED_HOLDINGS BAWUL BENPR BTFSW CITATION CS3 DIK DU5 E3Z EBS EDB EJD EMOBN EX3 F5P GX1 H13 HZ~ IAO IEA IHR INH INR IOF IPO KQ8 L7B M0K M5~ O5R O5S O9- OK1 OVD P2P PCD Q2X RHI SV3 TDI TEORI TR2 TWZ VVN W8F WH7 WOQ WOW YHG YOC ZCG ~KM NPM K9. NAPCQ 7X8 |
ID | FETCH-LOGICAL-c414t-4cb3a340e2638c202078da398e8042f4b3597602731dba84da52885ffca341d93 |
ISSN | 0149-5992 1935-5548 |
IngestDate | Fri Jul 11 10:13:17 EDT 2025 Mon Jun 30 13:44:59 EDT 2025 Thu Apr 03 06:54:38 EDT 2025 Thu Apr 24 22:59:13 EDT 2025 Tue Jul 01 04:11:58 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Language | English |
License | 2019 by the American Diabetes Association. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c414t-4cb3a340e2638c202078da398e8042f4b3597602731dba84da52885ffca341d93 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ORCID | 0000-0001-6027-3084 0000-0001-9621-9231 0000-0002-1621-9643 0000-0002-5754-7635 0000-0003-4464-453X |
OpenAccessLink | http://ir.lzu.edu.cn/handle/262010/416716 |
PMID | 31455687 |
PQID | 2310645514 |
PQPubID | 47715 |
PageCount | 10 |
ParticipantIDs | proquest_miscellaneous_2281845610 proquest_journals_2310645514 pubmed_primary_31455687 crossref_citationtrail_10_2337_dc19_0100 crossref_primary_10_2337_dc19_0100 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2019-11-01 |
PublicationDateYYYYMMDD | 2019-11-01 |
PublicationDate_xml | – month: 11 year: 2019 text: 2019-11-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Alexandria |
PublicationTitle | Diabetes care |
PublicationTitleAlternate | Diabetes Care |
PublicationYear | 2019 |
Publisher | American Diabetes Association |
Publisher_xml | – name: American Diabetes Association |
References | Lu (2022031300582937300_B28) 2019; 42 Peng (2022031300582937300_B23) 2017; 9 Sas (2022031300582937300_B4) 2015; 64 Lam (2022031300582937300_B29) 2014; 55 Merino (2022031300582937300_B15) 2018; 61 Würtz (2022031300582937300_B13) 2012; 35 Fransen (2022031300582937300_B34) 2017; 18 Rhee (2022031300582937300_B9) 2011; 121 Shui (2022031300582937300_B31) 2011; 1218 Guasch-Ferré (2022031300582937300_B6) 2016; 39 Chien (2022031300582937300_B7) 2009; 52 2022031300582937300_B24 Dorninger (2022031300582937300_B33) 2015; 1851 Fall (2022031300582937300_B12) 2016; 59 Sun (2022031300582937300_B18) 2016; 39 Zoeller (2022031300582937300_B32) 1986; 83 Schulze (2022031300582937300_B8) 2009; 32 Lam (2022031300582937300_B5) 2017; 44 Qiu (2022031300582937300_B19) 2016; 45 Razquin (2022031300582937300_B17) 2018; 41 Lu (2022031300582937300_B14) 2018; 103 Shui (2022031300582937300_B30) 2010; 6 Lu (2022031300582937300_B27) 2014; 172 Wang (2022031300582937300_B3) 2017; 317 Bi (2022031300582937300_B26) 2014; 6 Chen (2022031300582937300_B22) 2013; 98 Xu (2022031300582937300_B2) 2013; 310 Ferrannini (2022031300582937300_B20) 2013; 62 Lam (2022031300582937300_B21) 2017; 1862 Lin (2022031300582937300_B25) 2017; 9 Floegel (2022031300582937300_B11) 2013; 62 GBD 2015 Child Mortality Collaborators (2022031300582937300_B1) 2016; 388 Drogan (2022031300582937300_B10) 2015; 61 Wang-Sattler (2022031300582937300_B16) 2012; 8 |
References_xml | – volume: 388 start-page: 1725 year: 2016 ident: 2022031300582937300_B1 article-title: Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015 publication-title: Lancet doi: 10.1016/S0140-6736(16)31575-6 – volume: 1218 start-page: 4357 year: 2011 ident: 2022031300582937300_B31 article-title: Derivatization-independent cholesterol analysis in crude lipid extracts by liquid chromatography/mass spectrometry: applications to a rabbit model for atherosclerosis publication-title: J Chromatogr A doi: 10.1016/j.chroma.2011.05.011 – volume: 103 start-page: 671 year: 2018 ident: 2022031300582937300_B14 article-title: Serum lipids in association with type 2 diabetes risk and prevalence in a Chinese population publication-title: J Clin Endocrinol Metab doi: 10.1210/jc.2017-02176 – volume: 39 start-page: 833 year: 2016 ident: 2022031300582937300_B6 article-title: Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis publication-title: Diabetes Care doi: 10.2337/dc15-2251 – volume: 1862 start-page: 752 year: 2017 ident: 2022031300582937300_B21 article-title: Lipidomics, en route to accurate quantitation publication-title: Biochim Biophys Acta Mol Cell Biol Lipids doi: 10.1016/j.bbalip.2017.02.008 – volume: 62 start-page: 1730 year: 2013 ident: 2022031300582937300_B20 article-title: Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance publication-title: Diabetes doi: 10.2337/db12-0707 – volume: 98 start-page: E283 year: 2013 ident: 2022031300582937300_B22 article-title: Association of previous schistosome infection with diabetes and metabolic syndrome: a cross-sectional study in rural China publication-title: J Clin Endocrinol Metab doi: 10.1210/jc.2012-2517 – volume: 6 start-page: 147 year: 2014 ident: 2022031300582937300_B26 article-title: Cohort profile: risk evaluation of cancers in Chinese diabetic individuals: a longitudinal (REACTION) study publication-title: J Diabetes doi: 10.1111/1753-0407.12108 – volume: 35 start-page: 1749 year: 2012 ident: 2022031300582937300_B13 article-title: Circulating metabolite predictors of glycemia in middle-aged men and women publication-title: Diabetes Care doi: 10.2337/dc11-1838 – volume: 41 start-page: 2617 year: 2018 ident: 2022031300582937300_B17 article-title: Plasma lipidomic profiling and risk of type 2 diabetes in the PREDIMED trial publication-title: Diabetes Care doi: 10.2337/dc18-0840 – volume: 6 start-page: 1008 year: 2010 ident: 2022031300582937300_B30 article-title: Toward one step analysis of cellular lipidomes using liquid chromatography coupled with mass spectrometry: application to Saccharomyces cerevisiae and Schizosaccharomyces pombe lipidomics publication-title: Mol Biosyst doi: 10.1039/b913353d – volume: 52 start-page: 443 year: 2009 ident: 2022031300582937300_B7 article-title: A prediction model for type 2 diabetes risk among Chinese people publication-title: Diabetologia doi: 10.1007/s00125-008-1232-4 – volume: 8 start-page: 615 year: 2012 ident: 2022031300582937300_B16 article-title: Novel biomarkers for pre-diabetes identified by metabolomics publication-title: Mol Syst Biol doi: 10.1038/msb.2012.43 – volume: 55 start-page: 289 year: 2014 ident: 2022031300582937300_B29 article-title: Extensive characterization of human tear fluid collected using different techniques unravels the presence of novel lipid amphiphiles publication-title: J Lipid Res doi: 10.1194/jlr.M044826 – volume: 32 start-page: 2116 year: 2009 ident: 2022031300582937300_B8 article-title: Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam Study publication-title: Diabetes Care doi: 10.2337/dc09-0197 – volume: 18 start-page: 1126 year: 2017 ident: 2022031300582937300_B34 article-title: The peroxisome-mitochondria connection: how and why publication-title: Int J Mol Sci doi: 10.3390/ijms18061126 – volume: 9 start-page: 827 year: 2017 ident: 2022031300582937300_B23 article-title: Short sleep duration and longer daytime napping are associated with non-alcoholic fatty liver disease in Chinese adults publication-title: J Diabetes doi: 10.1111/1753-0407.12489 – volume: 42 start-page: 1539 year: 2019 ident: 2022031300582937300_B28 article-title: Predictive value of fasting glucose, postload glucose, and hemoglobin A1c on risk of diabetes and complications in Chinese adults publication-title: Diabetes Care doi: 10.2337/dc18-1390 – volume: 45 start-page: 1507 year: 2016 ident: 2022031300582937300_B19 article-title: Plasma metabolomics identified novel metabolites associated with risk of type 2 diabetes in two prospective cohorts of Chinese adults publication-title: Int J Epidemiol doi: 10.1093/ije/dyw221 – volume: 64 start-page: 718 year: 2015 ident: 2022031300582937300_B4 article-title: Metabolomics and diabetes: analytical and computational approaches publication-title: Diabetes doi: 10.2337/db14-0509 – volume: 59 start-page: 2114 year: 2016 ident: 2022031300582937300_B12 article-title: Non-targeted metabolomics combined with genetic analyses identifies bile acid synthesis and phospholipid metabolism as being associated with incident type 2 diabetes publication-title: Diabetologia doi: 10.1007/s00125-016-4041-1 – volume: 121 start-page: 1402 year: 2011 ident: 2022031300582937300_B9 article-title: Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans publication-title: J Clin Invest doi: 10.1172/JCI44442 – volume: 1851 start-page: 117 year: 2015 ident: 2022031300582937300_B33 article-title: Homeostasis of phospholipids - the level of phosphatidylethanolamine tightly adapts to changes in ethanolamine plasmalogens publication-title: Biochim Biophys Acta doi: 10.1016/j.bbalip.2014.11.005 – volume: 172 start-page: 388 year: 2014 ident: 2022031300582937300_B27 article-title: The relationship between insulin-sensitive obesity and cardiovascular diseases in a Chinese population: results of the REACTION study publication-title: Int J Cardiol doi: 10.1016/j.ijcard.2014.01.073 – volume: 61 start-page: 487 year: 2015 ident: 2022031300582937300_B10 article-title: Untargeted metabolic profiling identifies altered serum metabolites of type 2 diabetes mellitus in a prospective, nested case control study publication-title: Clin Chem doi: 10.1373/clinchem.2014.228965 – ident: 2022031300582937300_B24 – volume: 9 start-page: 837 year: 2017 ident: 2022031300582937300_B25 article-title: Glycemic status and chronic kidney disease in Chinese adults: Findings from the REACTION study publication-title: J Diabetes doi: 10.1111/1753-0407.12490 – volume: 39 start-page: 1563 year: 2016 ident: 2022031300582937300_B18 article-title: Early prediction of developing type 2 diabetes by plasma acylcarnitines: a population-based study publication-title: Diabetes Care doi: 10.2337/dc16-0232 – volume: 83 start-page: 5170 year: 1986 ident: 2022031300582937300_B32 article-title: Isolation of animal cell mutants deficient in plasmalogen biosynthesis and peroxisome assembly publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.83.14.5170 – volume: 317 start-page: 2515 year: 2017 ident: 2022031300582937300_B3 article-title: Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013 publication-title: JAMA doi: 10.1001/jama.2017.7596 – volume: 310 start-page: 948 year: 2013 ident: 2022031300582937300_B2 article-title: Prevalence and control of diabetes in Chinese adults publication-title: JAMA doi: 10.1001/jama.2013.168118 – volume: 44 start-page: 127 year: 2017 ident: 2022031300582937300_B5 article-title: Metabolomics through the lens of precision cardiovascular medicine publication-title: J Genet Genomics doi: 10.1016/j.jgg.2017.02.004 – volume: 62 start-page: 639 year: 2013 ident: 2022031300582937300_B11 article-title: Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach publication-title: Diabetes doi: 10.2337/db12-0495 – volume: 61 start-page: 1315 year: 2018 ident: 2022031300582937300_B15 article-title: Metabolomics insights into early type 2 diabetes pathogenesis and detection in individuals with normal fasting glucose publication-title: Diabetologia doi: 10.1007/s00125-018-4599-x |
SSID | ssj0004488 |
Score | 2.6016858 |
Snippet | Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes (T2DM) onset has remained lacking in Han Chinese. We evaluated changes in lipid... OBJECTIVE Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We... Comprehensive assessment of serum lipidomic aberrations before type 2 diabetes mellitus (T2DM) onset has remained lacking in Han Chinese. We evaluated changes... |
SourceID | proquest pubmed crossref |
SourceType | Aggregation Database Index Database Enrichment Source |
StartPage | 2117 |
SubjectTerms | Adults Correlation analysis Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Esters Evaluation Fatty acids Glucose Lipids Network analysis Polyunsaturated fatty acids Predictions Research design Serum lipids Tags Triglycerides |
Title | High-Coverage Targeted Lipidomics Reveals Novel Serum Lipid Predictors and Lipid Pathway Dysregulation Antecedent to Type 2 Diabetes Onset in Normoglycemic Chinese Adults |
URI | https://www.ncbi.nlm.nih.gov/pubmed/31455687 https://www.proquest.com/docview/2310645514 https://www.proquest.com/docview/2281845610 |
Volume | 42 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKkBAvE_cVBjKIByQUaGInTR7RLppg7TQtFX2LHMcZkUo60QQov4Dfwq_kHNtJGlSkwUtUHTtu1fPl-HzOuRDyMlJ-Hvksd5RII4ezUDkCNhLH4xLpRMRdHZszmQYnM_5-7s8Hg58bUUt1lb6RP7bmlfyPVkEGesUs2X_QbLsoCOAz6BeuoGG4XkvHGKThHGAQJkbexDqoGxxI7EedYbYx5oB8VVggeQqTFmgY6s9mGGMvssL02sGzcysEf_CbWL8-XMPOeWk7e2GBASUVZvSipxqbQ9vD5tD2rFwp3WdgCu7v8nKxljreHhtzK6x6ggU-Vps-cHsnRp21AUG1xlOhFkUrMli9gKUnHYY_mhPb86KVXHwyGd7FdyuzhxhuZLP5OrsbMd8Bz8aYYrVFZo019zZB6fZMr0kC_XNP8JiuKpBJzNZyR6Nu42te9k_PkuPZ6WkSH83jG-SmB4QDLeaH842681x3MG1_kqlRhUu_bRfuezZ_oSvabYnvkF3LN-g7A567ZKDKe-TWxEZU3Ce_ehiiDYZohyFqMUQ1hqjGkBmmHYYoYKgRGgzRHoZohyFaLSliiHq0QQLVGKJFSXsYohZD1GDoAZkdH8UHJ47t3-FI7vLK4TJlgvGR8sDISw-IyTjMBItCFcJWkfOUAZsNsKCSm6Ui5JnwvTD081zCXW4WsYdkp1yWao9QL83A7w99bDYAhDkSbsaZHAc8S4EgiPGQvGr--0Ta4vbYY2WRAMlFNSWopgTVNCQv2qlXpqLLtkn7jQIT-8CvEqRCAUeKMSTP22Ewx_iOTZRqWcMcrK6mScmQPDKKb7-FYVOAIBw_vsbdT8jt7jnZJzvVl1o9Bfe3Sp9pZP4GPZGyvw |
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=High-Coverage+Targeted+Lipidomics+Reveals+Novel+Serum+Lipid+Predictors+and+Lipid+Pathway+Dysregulation+Antecedent+to+Type+2+Diabetes+Onset+in+Normoglycemic+Chinese+Adults&rft.jtitle=Diabetes+care&rft.au=Lu%2C+Jieli&rft.au=Lam%2C+Sin+Man&rft.au=Wan%2C+Qin&rft.au=Shi%2C+Lixin&rft.date=2019-11-01&rft.issn=1935-5548&rft.eissn=1935-5548&rft.volume=42&rft.issue=11&rft.spage=2117&rft_id=info:doi/10.2337%2Fdc19-0100&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0149-5992&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0149-5992&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0149-5992&client=summon |