Table 1 Recent metabolomics studies that investigated disease associations with small-molecule features in plasma or serum from prospective cohorts

From: Redefining environmental exposure for disease etiology

Phenotype

Cohort

Cases/controls

Follow-up (y)

Analytical platform

Design

Exposure variables

Likely associations

Refs.

Cardiovasculardisease

Gene Bank

75/75

≤3

LC-MS

Untargeted

40 Metabolites (out of >2000 detected features) that met ‘acceptance criteria’

18 Small-molecule features of which choline, betaine, and TMAO were annotated

38

Type 1 diabetes

DIPP

56/73

3.7

LC-MS

Targeted

53 Lipids

Children who progressed to T1D were deficient in triglycerides and phosphatidyl cholines (possible choline deficiency)

39

Type 2 diabetes

FHS

189/189

12

LC-MS

Targeted

61 Polar metabolites and>100 Lipids

Branched-chain and aromatic amino acids increased risk; sets of lipids increased or decreased risk depending on chain length and double bonds

40, 41

Type 2 diabetes

SCHS

197/197

6

LC-MS and GC-MS

Untargeted

4859 Polar and nonpolar metabolites

35 Significant associations including branched-chain amino acids & nonesterified fatty acids and lysophosphatadylinositols

43

Pre-diabetes

KORA

IFG:102/866, IGT:238/866

7

LC-MS

Targeted

140 Lipids, amino acids, and biogenic amines

26 Associations, with glycine, LPC (18:2), and acetylcarnitine being the strongest

42

Gastric cancer

EPIC

238/626

3.2

GC-MS

Targeted

22 Phospholipid fatty acids

Oleic acid, a-linolenic acid, and di-homo-g-linolenic acid

44

Breast cancer

EPIC

363/702

7

GC-MS

Targeted

22 Phospholipid fatty acids

Trans-palmitoleic and elaidic acids

45

Hepatocellular carcinoma

EPIC

114/122

>2

NMR

Untargeted

8500 NMR bins reduced to 285 clusters of variables

Clusters of sugars, amino acids, lipids and nutrients

46

Colorectal cancer

WHI-OS

835/835

5.2

LC-MS

Targeted

Choline and its metabolites

TMAO and betaine/choline ratio

47

Colorectal cancer

EPIC

1367/2323

3.7

LC-MS

Targeted

Methionine, choline, betaine and dimethylglycine

Weak associations with methionine, choline and betaine

48

Colorectal cancer

PLCO

254/254

7.8

LC-MS and GC-MS

Untargeted

268 Annotated metabolites detected in >80% of specimens

Glycochenodeoxycholate in women but not men

50

Pancreatic cancer

HPFS, NHS, PHS, WHI-OS

454/908

8.7

LC-MS

Targeted

83 Polar metabolites

Branched-chain amino acids

49

Prostate cancer

ATBC

200/200

≤20

LC-MS & GC-MS

Untargeted

626 Annotated metabolites detected in >95% of specimens

None after Bonferroni correction

51

Hepatobiliary cancers

EPIC

HCC:147/147, IHBC:43/43, GBTC:134/134

9.6

LC-MS

Targeted

28 Amino acids, biogenic amines, and total hexoses

HCC: 14 Molecules, mainly branched-chain and aromatic amino acids

52

  1. ATBC alpha-tocopherol beta-carotene cancer prevention study; DIPP Type-1 diabetes prediction and prevention study (birth cohort), EPIC European Prospective Investigation into Cancer, FHS Framingham Health Study, GBTC gallbladder and biliary tract cancers, GC-MS gas chromatography-mass spectrometry, HCC hepatocellular carcinoma, HPFS Health Professionals Follow-up Study, IFG impaired fasting glucose, IGT impaired glucose tolerance, IHBC intrahepatic bile duct cancer, GBTC gall-bladder and biliary-tract cancers, KORA Cooperative Health Research in the Region of Augsburg cohort, LC-MS liquid chromatography-mass spectrometry, LPC lysophosphatidylcholine, NHS Nurses’ Health Study, NMR nuclear mass resonance spectroscopy, PHS Physicians’ Health Study, PLCO prostate, lung, colorectal, and ovarian cancer screening trial, SCHS Singapore Chinese Health Study, TMAO trimethylamine-N-oxide, WHI-OS Women’s Health Initiative-Observational Study