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. 2018 Jan 30;187(8):1721–1732. doi: 10.1093/aje/kwy017

Table 2.

Associations Between All-Cause Mortality and Serum Metabolitesa in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study, Finland, 1985–2013

Metabolite Chemical Class Chemical Subclass HRb 95% CI P Value
N-Acetylvalinec Amino acid Valine, leucine, and isoleucine metabolism 1.28 1.14, 1.43 2.02 × 10−5
Dimethylglycine Amino acid Glycine, serine, and threonine metabolism 1.26 1.13, 1.40 4.56 × 10−5
7-Methylguanine Nucleotide Purine metabolism, guanine-containing 1.31 1.15, 1.51 8.77 × 10−5
C-Glycosyltryptophan Amino acid Tryptophan metabolism 1.32 1.15, 1.51 9.18 × 10−5
Taurocholate Lipid Primary bile acid metabolism 1.23 1.10, 1.36 1.33 × 10−4
N-Acetyltryptophan Amino acid Tryptophan metabolism 1.24 1.11, 1.39 1.38 × 10−4
Erythronate Carbohydrate Aminosugar metabolism 1.23 1.09, 1.39 6.62 × 10−4
4-Androsten-3β,17β-diol disulfate 1 Lipid Sterol/steroid 1.21 1.08, 1.36 7.46 × 10−4
N-Acetylmethionine Amino acid Cysteine, methionine, SAM, taurine metabolism 1.23 1.09, 1.39 7.62 × 10−4
5,6-Dihydrothymine Nucleotide Pyrimidine metabolism, thymine-containing 1.28 1.11, 1.48 9.46 × 10−4
Hexanoylcarnitine Lipid Carnitine metabolism 1.20 1.08, 1.34 1.17 × 10−3
Palmitoleate (16:1n7) Lipid Long-chain fatty acid 1.20 1.08, 1.35 1.26 × 10−3
5-Dodecenoate (12:1n7) Lipid Medium-chain fatty acid 1.20 1.08, 1.35 1.29 × 10−3
N-Acetylphenylalanine Amino acid Phenylalanine and tyrosine metabolism 1.20 1.07, 1.34 1.33 × 10−3
Myristoleate (14:1n5) Lipid Long-chain fatty acid 1.20 1.07, 1.35 1.37 × 10−3
N1-Methylguanosine Nucleotide Purine metabolism, guanine-containing 1.23 1.08, 1.39 1.37 × 10−3
Docosadienoate (22:2n6) Lipid Long-chain fatty acid; polyunsaturated fatty acid (n3 and n6) 1.18 1.06, 1.32 2.70 × 10−3
Taurochenodeoxycholate Lipid Primary bile acid metabolism 1.22 1.07, 1.39 2.73 × 10−3
Homocitrulline Amino acid Urea cycle; arginine and proline metabolism 1.24 1.08, 1.44 2.81 × 10−3
3-Hydroxycotinine glucuronide Xenobiotics Tobacco metabolite 1.26 1.08, 1.47 2.86 × 10−3
N-Formylmethionine Amino acid Cysteine, methionine, SAM, taurine metabolism 1.20 1.06, 1.36 3.49 × 10−3
3-Methyl catechol sulfate 1 Xenobiotics Benzoate metabolism 1.18 1.05, 1.32 3.86 × 10−3
4-Acetamidobutanoate Amino acid Guanidino and acetamido metabolism; polyamine metabolism 1.23 1.07, 1.41 3.88 × 10−3
γ-Glutamyltryptophan Peptide γ-Glutamyl amino acid 1.19 1.06, 1.34 3.96 × 10−3
Asparagine Amino acid Alanine and aspartate metabolism 0.86 0.78, 0.96 4.55 × 10−3
N-Acetyltyrosine Amino acid Phenylalanine and tyrosine metabolism 1.16 1.05, 1.29 5.19 × 10−3
Xylose Carbohydrate Pentose metabolism 1.17 1.05, 1.31 5.31 × 10−3
3-Methyl catechol sulfate 2 Xenobiotics Benzoate metabolism 1.22 1.06, 1.39 5.43 × 10−3
N2,N2-Dimethylguanosine Nucleotide Purine metabolism, guanine-containing 1.20 1.05, 1.36 5.58 × 10−3
3-Hydroxybutyrate (BHBA) Lipid Ketone bodies 1.17 1.05, 1.30 5.78 × 10−3
4-Vinylphenol sulfate Xenobiotics Benzoate metabolism 1.17 1.05, 1.31 6.20 × 10−3

Abbreviations: CI, confidence intervals; HDL, high-density lipoprotein; HR, hazard ratios; SAM, S-adenosylmethionine; SD, standard deviation.

a Metabolites were natural log-transformed and standardized (mean = 0, variance = 1). All 620 participants were included in each test, except for metabolites 5,6-dihydrothymine, taurochenodeoxycholate, homocitrulline, and 3-hydroxycotinine glucuronide (missing metabolic data from set 1 (n = 186), thus a total of 434 participants were included in these tests), for metabolites N-acetyltryptophan and 3-methyl catechol sulfate (missing metabolic data from set 2 (n = 38): a total of 582 participants were included in these tests). False discovery rate of ≤0.05.

b For each study set, we used attained age as time metric in the Cox proportional hazards regression model, and we adjusted for age at baseline, body mass index, number of cigarettes per day, total cholesterol, HDL cholesterol, history of hypertension (elevated blood pressure), history of diabetes mellitus, and serum creatinine. The reported HR (per SD) and P value were obtained from meta-analysis, which was conducted using a fixed-effects model to pool the study sets estimates.

cN-acetylvaline achieved statistical significance after Bonferroni correction for multiple tests.