Metabolomic markers reveal novel pathways of ageing and early development in human populations - Wikidata - awgldk - TriplyDB

Metabolomic markers reveal novel pathways of ageing and early development in human populations

Metabolomic markers reveal novel pathways of ageing and early development in human populations

http://www.wikidata.org/entity/Q37192309

about

Molecular phenotyping of a UK population: defining the human serum metabolome Advances in Understanding Hair Growth Integration of 'omics' data in aging research: from biomarkers to systems biology Direct Regulation of TLR5 Expression by Caveolin-1 Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach Biological Age Predictors.Sources of variability in metabolite measurements from urinary samples.Molecular pathways associated with blood pressure and hexadecanedioate levels Assessment of metabolic phenotypic variability in children's urine using 1H NMR spectroscopy The implication of frailty on preoperative risk assessment metabolic profiling of Parkinson's disease and mild cognitive impairment.Cerebrospinal fluid metabolomics reveals altered waste clearance and accelerated aging in HIV patients with neurocognitive impairment.Untangling the relationship between diet and visceral fat mass through blood metabolomics and gut microbiome profiling Perioperative frailty Deep biomarkers of human aging: Application of deep neural networks to biomarker development.Metabolomic study of carotid-femoral pulse-wave velocity in women.Gut-Microbiota-Metabolite Axis in Early Renal Function Decline.Circulating Proteomic Signatures of Chronological Age.Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioate Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders.Plasma metabolomic profiles enhance precision medicine for volunteers of normal health.The effects of age and dietary restriction on the tissue-specific metabolome of Drosophila.Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins.Urine metabolome profiling of immune-mediated inflammatory diseases.Age-related proteostasis and metabolic alterations in Caspase-2-deficient mice Metabolomics profiling reveals novel markers for leukocyte telomere length.An omics investigation into chronic widespread musculoskeletal pain reveals epiandrosterone sulfate as a potential biomarker.Epigenetic Mechanisms of the Aging Human Retina.Metabolomic profiling to dissect the role of visceral fat in cardiometabolic health Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling.Associations between branched chain amino acid intake and biomarkers of adiposity and cardiometabolic health independent of genetic factors: A twin study.Epigenetics meets metabolomics: an epigenome-wide association study with blood serum metabolic traits.Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model.A Metabolome-Wide Study of Dry Eye Disease Reveals Serum Androgens as Biomarkers.Developmental aspects of a life course approach to healthy ageing.Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study.Metabolomics for clinical use and research in chronic kidney disease.Bridging the Gaps: the Promise of Omics Studies in Pediatric Exercise Research.Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.Deployment-Associated Exposure Surveillance With High-Resolution Metabolomics.

P2860

Q24289470-82006D37-059A-4ECC-9FE0-64F1536734F4 Q26766087-E8BC909A-E327-4C50-BC1F-53FB09516EE4 Q26786552-9CF1C656-838D-4B4D-BA97-F9655302CB28 Q28270373-DCD08253-DDB2-43D1-900A-F4F033872DBD Q28661494-DEDA60C3-6397-4FA2-9814-B1110637FFE0 Q30234875-FCAFB84A-B8D8-43CB-9A28-A6143825F284 Q33553282-B407FB58-56EB-4440-A412-07430768AA3D Q33558806-AE9DC045-974B-4774-B4DC-F3BB1BA2DBF1 Q33576589-6F13A41C-A2F7-47FD-9D24-58AD5AE39462 Q33825857-F7A03380-3C23-4E66-85FF-AF51CFACDEBF Q33835701-ADFF7022-398E-4C16-A5E7-C56C3F2D07FE Q33863368-ED710E5F-85E9-4C3F-BCBB-B2D7810F2FA0 Q33891497-A9AD00BC-49F6-4C5F-8DE9-46EA90B342F9 Q34278764-35987ECB-D824-492E-8844-B1439809F8DC Q34527074-2820390B-A2B8-4CF7-AA76-632C6A107B4D Q35161722-E551A29C-F67B-4505-B15F-91544EEDE188 Q35737363-04A902F7-2E75-47FC-9F89-EC59B19DFFC2 Q35746977-E118FC1C-6DEF-4ABC-8419-51E9465D950F Q35815428-F32ACB09-4D78-40B2-BC03-2B6B9D8FD957 Q35903976-D66CC33B-F08B-4F93-A139-D2121ADE6E7D Q36055457-1D236884-FAB3-4D0C-A86A-64B907ACAEDF Q36057638-E8B0C117-9849-454A-96E8-E2EDE21DB5C8 Q36064059-5E8332C0-66F0-4945-B8C7-20F10E06A604 Q36127459-8828A44F-37AB-4E2B-A1F0-45AB33BEC702 Q36347148-3E4387D4-C2DC-4AE3-945F-FAA11B3BDC9B Q36601658-E5F57509-CB32-4484-89EA-B91DF763166A Q36628268-5F1A8B01-C260-4C9F-AAC9-06D810574084 Q36648831-ACFD64EA-8380-47F4-92D3-AEFEFC617E6D Q37023957-71EB7E72-0110-49F8-9FEF-68EFC8750B43 Q37279013-96172F3A-F04B-4394-B69C-A6B8AA0858AB Q37356958-8573B583-DC34-484C-B603-2799F8EEC9CA Q37406422-B99DDB32-D081-4D38-AF95-E0AB57EABD66 Q37439086-E121C6E3-5D38-4112-829D-64EA2B4D59B9 Q37732321-F37D5B57-CF36-43A1-9753-15DBA1BA1FA7 Q38620730-F12335B8-5FD1-4343-908B-378AD9056D80 Q38622119-99F78AEE-6B40-46AD-BDAC-F5BEB1D18C52 Q38750287-BF40BCD6-523B-4C18-A1D1-FDBC93456F55 Q38823305-3CA6E683-A485-4D19-9573-76C230E00569 Q38838580-5D5ABD0D-0F2D-47B0-A8A0-A6D4E687FC41 Q38921721-CB23E180-9796-45F3-B52D-9069C0EF1D57

P2860

Metabolomic markers reveal novel pathways of ageing and early development in human populations

http://www.wikidata.org/entity/Q37192309

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 08 July 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Metabolomic markers reveal nov ...... velopment in human populations

@en

Metabolomic markers reveal nov ...... elopment in human populations.

@nl

type

label

Metabolomic markers reveal nov ...... velopment in human populations

@en

Metabolomic markers reveal nov ...... elopment in human populations.

@nl

prefLabel

Metabolomic markers reveal nov ...... velopment in human populations

@en

Metabolomic markers reveal nov ...... elopment in human populations.

@nl

P1433

Q37192309-47B74E53-E2FB-42D7-9920-3626391FC775

P1476

Q37192309-849B4FEB-C900-4F94-93A0-F3FF466199EE

P2093

Q37192309-1C89EB7C-3532-4B64-A9B6-C6DA5562FF8F

Q37192309-53A031B5-E721-468F-9FEB-687C0BBFCED0

Q37192309-57CBDFD3-5E92-4731-B90A-A68E1345F6D6

Q37192309-5E40A029-DE02-4948-8FB7-3442FEC0408F

Q37192309-5EFF83D1-7232-4672-85DD-3555D8429457

Q37192309-C10AA601-AD50-4D9B-87D4-6E0E0BB7F4AF

Q37192309-C2E36470-80BE-422E-B852-E06142460E8A

Q37192309-C9BFD577-CF3D-4635-A123-BC57A1687DB1

Q37192309-DC8CEF33-B1A0-4FCA-87CF-B95DC0EBADB8

Q37192309-E30BE625-D3E8-4267-BCB5-89BF0EAC1465

P2860

Q37192309-07E79214-0E8E-4529-B709-4EDFA3AE1A2D

Q37192309-07EEAE11-F734-4E5B-8E29-C31626C6520C

Q37192309-12CA305A-D4F3-4D22-BB4A-0077F887C2C3

Q37192309-14B1373A-E4D2-4B41-8CDE-8210FC106002

Q37192309-18857734-1C65-4A7C-B2BA-067F266F4F51

Q37192309-2507D88D-CA92-4E09-84F8-3E461C431A70

Q37192309-2AE3D1CE-9537-4A54-968D-B8510BA19A43

Q37192309-3E529857-B507-4BCC-B008-176131DA9501

Q37192309-4D36DD5A-7530-470B-A9E8-9C31BF130587

Q37192309-604F7F69-3588-48E3-8878-91C7B3F3EFAD

P304

Q37192309-C2FF40E0-5486-4B65-8F79-B09A118EAC8C

P31

Q37192309-1D9AA695-639C-48BA-9069-3DEFC4254394

Q37192309-889ae4de-64ac-4fe3-a65e-68df57c81817

P356

Q37192309-E6D3E7C5-B31B-430E-A528-96AA8C7C1017

P433

Q37192309-5C606670-81DA-4108-A82D-008F85B59C8A

P478

Q37192309-11C3D604-E6F2-40F8-ABC5-EC69C74844AF

P50

Q37192309-0A135048-BB77-4ABD-917C-819BCE624461

Q37192309-228484D3-6478-42E8-A34E-D7B51C834489

Q37192309-4B4B9982-A4A0-4615-B62E-EE138B0DDC13

Q37192309-8A06A00D-A379-440A-98BA-DFF0B68F4AE9

Q37192309-9EE59ECF-49DC-46C5-ADDA-839F7B810C35

Q37192309-CFE21351-D77C-4D06-93C4-AFDCE54DBEBE

Q37192309-EC390B97-C841-4BBB-9B93-69DD6FF88497

Q37192309-F41218CE-704C-4002-9D3D-E46D0A4960FD

P577

Q37192309-0132B2C2-61B4-42C7-8633-00B0E5B69AFD

P5875

Q37192309-96DB021D-DBD6-4FD5-A58C-5EA3DB454C6D

P698

Q37192309-B2ED4F83-E722-4EEC-95DD-79561700E833

P932

Q37192309-503A809E-CE7C-4BA2-B3C2-847E5E64C4B1

P356

P1433

International Journal of Epidemiology

P1476

Metabolomic markers reveal nov ...... velopment in human populations

@en

P2093

Ann Kristin Petersen

http://www.w3.org/2001/XMLSchema#string

Bronwyn Stuckey

http://www.w3.org/2001/XMLSchema#string

Ee Mun Lim

http://www.w3.org/2001/XMLSchema#string

Gabriella Kastenmüller

http://www.w3.org/2001/XMLSchema#string

Holger Schulz

http://www.w3.org/2001/XMLSchema#string

Idil Erte

http://www.w3.org/2001/XMLSchema#string

Loukia Tsaprouni

http://www.w3.org/2001/XMLSchema#string

M Julia Brosnan

http://www.w3.org/2001/XMLSchema#string

Maria Psatha

http://www.w3.org/2001/XMLSchema#string

Robert Mohney

http://www.w3.org/2001/XMLSchema#string

P2860

Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population

Haploid genetic screens in human cells identify host factors used by pathogens

Cohort Profile: TwinsUK and healthy ageing twin study

Human metabolic individuality in biomedical and pharmaceutical research

Obesity, cigarette smoking, and telomere length in women

Effect of in utero and early-life conditions on adult health and disease

Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems.

Ten years of life: Is it a matter of choice?

Age trends in the level of serum testosterone and other hormones in middle-aged men: longitudinal results from the Massachusetts male aging study.

Biomarkers of aging.

P304

1111-1119

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/IJE/DYT094

http://www.w3.org/2001/XMLSchema#string

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

42

http://www.w3.org/2001/XMLSchema#string

P50

Christian Gieger

Jordana T. Bell

P577

2013-07-08T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

248383960

http://www.w3.org/2001/XMLSchema#string

P698

23838602

http://www.w3.org/2001/XMLSchema#string

P932

3781000

http://www.w3.org/2001/XMLSchema#string