Investigating Multi-Omic Signatures of Ethnicity and Dysglycaemia in Asian Chinese and European Caucasian Adults: Cross-Sectional Analysis of the TOFI_Asia Study at 4-Year Follow-Up

<b>Background:</b> Type 2 diabetes (T2D) is a global health epidemic with rising prevalence within Asian populations, particularly amongst individuals with high visceral adiposity and ectopic organ fat, the so-called Thin-Outside, Fat-Inside phenotype. Metabolomic and microbiome shifts may herald T2D onset, presenting potential biomarkers and mechanistic insight into metabolic dysregulation. However, multi-omics datasets across ethnicities remain limited. <b>Methods:</b> We performed cross-sectional multi-omics analyses on 171 adults (99 Asian Chinese, 72 European Caucasian) from the New Zealand-based TOFI_Asia cohort at 4-years follow-up. Paired plasma and faecal samples were analysed using untargeted metabolomic profiling (polar/lipid fractions) and shotgun metagenomic sequencing, respectively. Sparse multi-block partial least squares regression and discriminant analysis (DIABLO) unveiled signatures associated with ethnicity, glycaemic status, and sex. <b>Results:</b> Ethnicity-based DIABLO modelling achieved a balanced error rate of 0.22, correctly classifying 76.54% of test samples. Polar metabolites had the highest discriminatory power (AUC = 0.96), with trigonelline enriched in European Caucasians and carnitine in Asian Chinese. Lipid profiles highlighted ethnicity-specific signatures: Asian Chinese showed enrichment of polyunsaturated triglycerides (TG.16:0_18:2_22:6, TG.18:1_18:2_22:6) and ether-linked phospholipids, while European Caucasians exhibited higher levels of saturated species (TG.16:0_16:0_14:1, TG.15:0_15:0_17:1). The bacteria <i>Bifidobacterium pseudocatenulatum</i>, <i>Erysipelatoclostridium ramosum,</i> and <i>Enterocloster bolteae</i> characterised Asian Chinese participants, while <i>Oscillibacter</i> sp. and <i>Clostridium innocuum</i> characterised European Caucasians. Cross-omic correlations highlighted negative correlations of <i>Phocaeicola vulgatus</i> with amino acids (r = -0.84 to -0.76), while <i>E. ramosum</i> and <i>C. innocuum</i> positively correlated with long-chain triglycerides (r = 0.55-0.62). <b>Conclusions</b>: Ethnicity drove robust multi-omic differentiation, revealing distinctive metabolic and microbial profiles potentially underlying the differential T2D risk between Asian Chinese and European Caucasians.

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Journal
Metabolites
Published
2025-08-01
DOI
https://doi.org/10.3390/metabo15080522
Primary Topic
Metabolomics and Mass Spectrometry Studies
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article
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article

Investigating Multi-Omic Signatures of Ethnicity and Dysglycaemia in Asian Chinese and European Caucasian Adults: Cross-Sectional Analysis of the TOFI_Asia Study at 4-Year Follow-Up

Jessica Alice Wallbank, Ivana R. Sequeira, Jennifer L. Miles‐Chan, Tung Nguyenc T. et al.
Metabolites
Metabolomics and Mass Spectrometry Studies
article

Investigating Multi-Omic Signatures of Ethnicity and Dysglycaemia in Asian Chinese and European Caucasian Adults: Cross-Sectional Analysis of the TOFI_Asia Study at 4-Year Follow-Up

Jessica Alice Wallbank, Ivana R. Sequeira, Jennifer L. Miles‐Chan, Tung Nguyenc T., Sally D. Poppitt, Kok Hong Leiu, Karl Fraser, Aidan Joblin-Mills, Saif Faraj, Michael W. Taylor
article en

Abstract

<b>Background:</b> Type 2 diabetes (T2D) is a global health epidemic with rising prevalence within Asian populations, particularly amongst individuals with high visceral adiposity and ectopic organ fat, the so-called Thin-Outside, Fat-Inside phenotype. Metabolomic and microbiome shifts may herald T2D onset, presenting potential biomarkers and mechanistic insight into metabolic dysregulation. However, multi-omics datasets across ethnicities remain limited. <b>Methods:</b> We performed cross-sectional multi-omics analyses on 171 adults (99 Asian Chinese, 72 European Caucasian) from the New Zealand-based TOFI_Asia cohort at 4-years follow-up. Paired plasma and faecal samples were analysed using untargeted metabolomic profiling (polar/lipid fractions) and shotgun metagenomic sequencing, respectively. Sparse multi-block partial least squares regression and discriminant analysis (DIABLO) unveiled signatures associated with ethnicity, glycaemic status, and sex. <b>Results:</b> Ethnicity-based DIABLO modelling achieved a balanced error rate of 0.22, correctly classifying 76.54% of test samples. Polar metabolites had the highest discriminatory power (AUC = 0.96), with trigonelline enriched in European Caucasians and carnitine in Asian Chinese. Lipid profiles highlighted ethnicity-specific signatures: Asian Chinese showed enrichment of polyunsaturated triglycerides (TG.16:0_18:2_22:6, TG.18:1_18:2_22:6) and ether-linked phospholipids, while European Caucasians exhibited higher levels of saturated species (TG.16:0_16:0_14:1, TG.15:0_15:0_17:1). The bacteria <i>Bifidobacterium pseudocatenulatum</i>, <i>Erysipelatoclostridium ramosum,</i> and <i>Enterocloster bolteae</i> characterised Asian Chinese participants, while <i>Oscillibacter</i> sp. and <i>Clostridium innocuum</i> characterised European Caucasians. Cross-omic correlations highlighted negative correlations of <i>Phocaeicola vulgatus</i> with amino acids (r = -0.84 to -0.76), while <i>E. ramosum</i> and <i>C. innocuum</i> positively correlated with long-chain triglycerides (r = 0.55-0.62). <b>Conclusions</b>: Ethnicity drove robust multi-omic differentiation, revealing distinctive metabolic and microbial profiles potentially underlying the differential T2D risk between Asian Chinese and European Caucasians.

MetabolitesVol. 15(8)
University of Auckland (NZ), AgResearch (NZ), Riddet Institute (NZ), Massey University (NZ)
Openalex Percentile: Top 82%
Metabolomics and Mass Spectrometry Studies
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