Normative Data on Serum and Plasma Tryptophan and Kynurenine Concentrations from 8089 Individuals Across 120 Studies: A Systematic Review and Meta-Analysis

Author:

Metri Najwa-Joelle1,Butt Ali S1,Murali Ava2,Steiner-Lim Genevieve Z13,Lim Chai K2

Affiliation:

1. NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia

2. Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW, Australia

3. Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia

Abstract

In this systematic review and meta-analysis, a normative dataset is generated from the published literature on the kynurenine pathway in control participants extracted from case-control and methodological validation studies. Study characteristics were mapped, and studies were evaluated in terms of analytical rigour and methodological validation. Meta-analyses of variance between types of instruments, sample matrices and metabolites were conducted. Regression analyses were applied to determine the relationship between metabolite, sample matrix, biological sex, participant age and study age. The grand mean concentrations of tryptophan in the serum and plasma were 60.52 ± 15.38 μM and 51.45 ± 10.47 μM, respectively. The grand mean concentrations of kynurenine in the serum and plasma were 1.96 ± 0.51 μM and 1.82 ± 0.54 μM, respectively. Regional differences in metabolite concentrations were observed across America, Asia, Australia, Europe and the Middle East. Of the total variance within the data, mode of detection (MOD) accounted for up to 2.96%, sample matrix up to 3.23%, and their interaction explained up to 1.53%; the latter of which was determined to be negligible. This review was intended to inform future empirical research and method development studies and successfully synthesised pilot data. The pilot data reported in this study will inform future precision medicine initiatives aimed at targeting the kynurenine pathway by improving the availability and quality of normative data.

Funder

National Health and Medical Research Council

Publisher

SAGE Publications

Subject

Molecular Biology,Biochemistry

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