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Unknown
(112)
Transcriptomics
(1)
Proteomics
(1)
Metabolomics
(1)
Organisms
Homo sapiens
(2)
Repository
biostudies-arrayexpress
(1)
iProX
(1)
MetaboLights
(1)
Technology Type
Mass spectrometry
(1)
Instrument Platform
Liquid Chromatography MS - negative - reverse phase
(1)
Liquid Chromatography MS - positive - reverse phase
(1)
Publication Date
2010
(1)
2026
(1)
2021
(1)
CHEBI ID
CHEBI:167859
(1)
CHEBI:167856
(1)
CHEBI:167854
(1)
CHEBI:167851
(1)
CHEBI:167848
(1)
CHEBI:167847
(1)
CHEBI:167844
(1)
CHEBI:167843
(1)
CHEBI:167841
(1)
CHEBI:167839
(1)
CHEBI:167834
(1)
CHEBI:167831
(1)
CHEBI:167829
(1)
CHEBI:167828
(1)
CHEBI:167813
(1)
CHEBI:167811
(1)
CHEBI:167805
(1)
CHEBI:167801
(1)
CHEBI:167799
(1)
CHEBI:167793
(1)
CHEBI:167791
(1)
CHEBI:167787
(1)
CHEBI:167780
(1)
CHEBI:167778
(1)
CHEBI:167776
(1)
CHEBI:167773
(1)
CHEBI:167772
(1)
CHEBI:167769
(1)
CHEBI:167767
(1)
CHEBI:167765
(1)
Metabolite Name
3-acetyl-11-keto-beta-boswellic acid
(1)
3-methyl-2-oxindole
(1)
2-trans-hexadecenoic acid
(1)
Rac-glycerol 1-myristate
(1)
Methyl 2-hydroxy-4-{3-[(4-oxo-3-phenyl-4h-chromen-7-yl)oxy]propoxy}-3-propylbenzoate
(1)
Palmitelaidic acid methyl ester
(1)
5-hydroxy-3-(hydroxymethyl)-6-isopropyl-2-oxo-3-cyclohexen-1-yl 3-methylpentanoate
(1)
19-nortestosterone
(1)
N-[2-(trifluoromethyl)phenyl]pyrrolidine-1-carbothioamide
(1)
7-hydroxytestosterone
(1)
4-(methylthio) aniline
(1)
Methyl 4-(aminocarbonyl)-n-cyanotetrahydropyridine-1(2H)-carbimidothioate
(1)
Alpha-pinene-2-oxide
(1)
18-beta-glycyrrhetinic acid
(1)
Ethyl 3-[2-(diphenylmethylidene)hydrazino]but-2-enoate
(1)
N-[3-(aminosulfonyl)phenyl]-2-phenoxynicotinamide
(1)
5-dihydrotestosterone
(1)
3-{4-[(4-fluorophenyl)sulfonyl]piperazino}-4H-chromen-4-one
(1)
Delta9-THC
(1)
3-(benzylamino)-5-(4-chlorophenyl)cyclohex-2-en-1-one
(1)
L-aspartic acid beta-benzyl ester
(1)
Beta-asarone
(1)
11-hydroxy-17-methyltestosterone
(1)
6-O-methylscutellarin
(1)
DL-metanephrine
(1)
4-methoxycinnamaldehyde
(1)
6-hydroxycortisol
(1)
N1-[2-({[3-chloro-5-(trifluoromethyl)-2-pyridyl]methyl}thio)ethyl]benzamide
(1)
Ethyl 3-cyano-6-methyl-2-({2-[(2-thienylcarbonyl)amino]phenyl}thio)isonicotinate
(1)
2-(propylthio)nicotinic acid
(1)
Study type
Transcription profiling by array
(1)
Release Date
2025
(24)
2023
(18)
2022
(16)
2021
(13)
2020
(12)
2024
(10)
2017
(5)
2026
(4)
2016
(3)
2019
(2)
2018
(2)
2010
(1)
2015
(1)
2014
(1)
2013
(1)
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Changes in patterns of multimorbidity and associated with medical costs among Chinese middle-aged and older adults from 2013 to 2023: an analysis of repeated cross-sectional surveys in Xiangyang, China.
Not available
S-EPMC11335498
|
biostudies-literature
Cite
SARS-CoV-2 immunity and functional recovery of COVID-19 patients 1-year after infection.
Not available
S-EPMC8512652
|
biostudies-literature
Cite
Analysis of the genetic structure and selection signatures of Xiangyang black pigs using whole-genome resequencing data.
Not available
S-EPMC12713295
|
biostudies-literature
Cite
Effectiveness of the self-fatigue assessment in guiding early postoperative ambulation in gynaecological oncology patients: study protocol for a randomised controlled trial.
Not available
S-EPMC9161075
|
biostudies-literature
Cite
The connection between mindfulness levels and life satisfaction among breast cancer patients: the sequential mediating effects of body appreciation and stress perception.
Not available
S-EPMC12718524
|
biostudies-literature
Cite
Association of Obesity Indices with Diabetic Kidney Disease and Diabetic Retinopathy in Type 2 Diabetes: A Real-World Study.
Not available
S-EPMC10122582
|
biostudies-literature
Cite
Associations between handgrip strength and skeletal muscle mass with all-cause mortality and cardiovascular mortality in people with type 2 diabetes: A prospective cohort study of the UK Biobank.
Not available
S-EPMC10809293
|
biostudies-literature
Cite
The Risk Factors for Cervical Cytological Abnormalities Among Women Infected With Non-16/18 High-Risk Human Papillomavirus: Cross-sectional Study.
Not available
S-EPMC9782330
|
biostudies-literature
Cite
Associations between Consumption of Dietary Fibers and the Risk of Type 2 Diabetes, Hypertension, Obesity, Cardiovascular Diseases, and Mortality in Chinese Adults: Longitudinal Analyses from the China Health and Nutrition Survey.
Not available
S-EPMC9268526
|
biostudies-literature
Cite
AutoCOPD-A novel and practical machine learning model for COPD detection using whole-lung inspiratory quantitative CT measurements: a retrospective, multicenter study.
Not available
S-EPMC12002883
|
biostudies-literature
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