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ORIGINAL RESEARCH

Trimethylamine N-Oxide and Related Metabolites in the Serum and Risk of Type 2 Diabetes in the Chinese Population: A Case-Control Study

ORCID Icon, , , , &
Pages 547-555 | Received 17 Nov 2022, Accepted 14 Feb 2023, Published online: 27 Feb 2023

Figures & data

Figure 1 (a) Association between TMAO and the risk of T2DM from restricted cubic splines nested in logistic regression analyses. (b) Association between choline and the risk of T2DM from restricted cubic splines nested in logistic regression analyses.

Figure 1 (a) Association between TMAO and the risk of T2DM from restricted cubic splines nested in logistic regression analyses. (b) Association between choline and the risk of T2DM from restricted cubic splines nested in logistic regression analyses.

Table 1 The Basic Characteristics of the Study

Table 2 The Basic Characteristics of the Study and the Risk of T2DM

Figure 2 Receiver operating characteristic curves of TMAO and its precursors (blue), traditional risk factors (grey), TMAO and precursors plus traditional risk factors (purple) for type 2 diabetes mellitus. The area under the operating characteristic curve (AUC) was 0.706 (95% CI: 0.647–0.765) for TMAO and its precursors model; 0.761 (95% CI: 0.707–0.816) for the traditional risk factors model; 0.816 (95% CI: 0.768–0.863) for the traditional risk factors plus TMAO and its precursors model. (P<0.05 for comparison of TMAO and its precursors plus traditional risk factors model with the other two models).

Figure 2 Receiver operating characteristic curves of TMAO and its precursors (blue), traditional risk factors (grey), TMAO and precursors plus traditional risk factors (purple) for type 2 diabetes mellitus. The area under the operating characteristic curve (AUC) was 0.706 (95% CI: 0.647–0.765) for TMAO and its precursors model; 0.761 (95% CI: 0.707–0.816) for the traditional risk factors model; 0.816 (95% CI: 0.768–0.863) for the traditional risk factors plus TMAO and its precursors model. (P<0.05 for comparison of TMAO and its precursors plus traditional risk factors model with the other two models).