A Chinese study examined the relationship between various lipid parameters and the risk of prediabetes in a massive sample of over 100,000 adults. Researchers examined traditional lipid markers, such as HDL and LDL cholesterol, as well as newer markers.
The results were surprising. HDL and LDL cholesterol were negatively associated with the risk of prediabetes, meaning that higher levels of these substances were linked to a lower risk. Conversely, total cholesterol, triglycerides and the lipoprotein combination index were positively correlated with prediabetes risk.
A remarkable finding was the effectiveness of non-traditional lipid parameters, in particular the Lipoprotein Combination Index (LCI), represented by TC∗TG∗LDL/HDL-C. This index has shown promise in predicting prediabetes. This index has shown promise in predicting prediabetes.
What's fascinating is that the relationship between certain lipid parameters and the risk of prediabetes was not straightforward; it varied according to factors such as age, gender and family history of diabetes. For example, certain groups, such as young people, women and people with a family history of diabetes, had higher predictive values for prediabetes.
In essence, this study highlights the importance of lipid parameters in predicting the risk of prediabetes. It proposes these parameters as alternative indicators for assessing insulin resistance and prediabetes risk, potentially offering a more comprehensive understanding of metabolic health.
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Sources:
Nonlinear relationship between untraditional lipid parameters and the risk of prediabetes: a large retrospective study based on Chinese adults.Li M, Zhang W, Zhang M, Li L, Wang D, Yan G, Qiao Y, Tang C.
Cardiovasc Diabetol. 2024 Jan 6;23(1):12. doi: 10.1186/s12933-023-02103-z.