Discovery and validation of plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting insulin resistance and diabetes progression or regression among Puerto Rican adults.

IF 8.4 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetologia Pub Date : 2024-09-01 Epub Date: 2024-05-21 DOI:10.1007/s00125-024-06169-6
Danielle E Haslam, Liming Liang, Kai Guo, Marijulie Martínez-Lozano, Cynthia M Pérez, Chih-Hao Lee, Evangelia Morou-Bermudez, Clary Clish, David T W Wong, JoAnn E Manson, Frank B Hu, Meir J Stampfer, Kaumudi Joshipura, Shilpa N Bhupathiraju
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Abstract

Aims/hypothesis: Many studies have examined the relationship between plasma metabolites and type 2 diabetes progression, but few have explored saliva and multi-fluid metabolites.

Methods: We used LC/MS to measure plasma (n=1051) and saliva (n=635) metabolites among Puerto Rican adults from the San Juan Overweight Adults Longitudinal Study. We used elastic net regression to identify plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting baseline HOMA-IR in a training set (n=509) and validated these scores in a testing set (n=340). We used multivariable Cox proportional hazards models to estimate HRs for the association of baseline metabolomic scores predicting insulin resistance with incident type 2 diabetes (n=54) and prediabetes (characterised by impaired glucose tolerance, impaired fasting glucose and/or high HbA1c) (n=130) at 3 years, along with regression from prediabetes to normoglycaemia (n=122), adjusting for traditional diabetes-related risk factors.

Results: Plasma, saliva and multi-fluid plasma-saliva metabolomic scores predicting insulin resistance included highly weighted metabolites from fructose, tyrosine, lipid and amino acid metabolism. Each SD increase in the plasma (HR 1.99 [95% CI 1.18, 3.38]; p=0.01) and multi-fluid (1.80 [1.06, 3.07]; p=0.03) metabolomic scores was associated with higher risk of type 2 diabetes. The saliva metabolomic score was associated with incident prediabetes (1.48 [1.17, 1.86]; p=0.001). All three metabolomic scores were significantly associated with lower likelihood of regressing from prediabetes to normoglycaemia in models adjusting for adiposity (HRs 0.72 for plasma, 0.78 for saliva and 0.72 for multi-fluid), but associations were attenuated when adjusting for lipid and glycaemic measures.

Conclusions/interpretation: The plasma metabolomic score predicting insulin resistance was more strongly associated with incident type 2 diabetes than the saliva metabolomic score. Only the saliva metabolomic score was associated with incident prediabetes.

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发现并验证可预测波多黎各成年人胰岛素抵抗和糖尿病进展或消退的血浆、唾液和多流体血浆-唾液代谢组评分。
目的/假设:许多研究探讨了血浆代谢物与 2 型糖尿病进展之间的关系,但很少有研究探讨唾液和多流体代谢物:我们使用 LC/MS 测量了圣胡安超重成年人纵向研究中波多黎各成年人的血浆(n=1051)和唾液(n=635)代谢物。我们使用弹性净回归法确定了血浆、唾液和多流体血浆-唾液代谢组得分,这些得分可预测训练集(人数=509)中的基线 HOMA-IR,并在测试集(人数=340)中验证了这些得分。我们使用多变量考克斯比例危险模型估算了预测胰岛素抵抗的基线代谢组评分与3年后发生的2型糖尿病(54人)和糖尿病前期(以糖耐量受损、空腹血糖受损和/或高HbA1c为特征)(130人)的相关性,以及从糖尿病前期向正常血糖回归(122人)的相关性,并对传统的糖尿病相关风险因素进行了调整:预测胰岛素抵抗的血浆、唾液和多流体血浆-唾液代谢组评分包括来自果糖、酪氨酸、脂质和氨基酸代谢的高权重代谢物。血浆(HR 1.99 [95% CI 1.18, 3.38];p=0.01)和多唾液(1.80 [1.06, 3.07];p=0.03)代谢组评分每增加一个标准差,罹患 2 型糖尿病的风险就会增加。唾液代谢组评分与糖尿病前期相关(1.48 [1.17, 1.86]; p=0.001)。在调整脂肪含量的模型中,所有三个代谢组得分都与从糖尿病前期向正常血糖回归的可能性较低显著相关(血浆的 HR 值为 0.72,唾液的 HR 值为 0.78,多流体的 HR 值为 0.72),但在调整血脂和血糖测量时,相关性减弱:预测胰岛素抵抗的血浆代谢组学评分比唾液代谢组学评分与2型糖尿病发病的相关性更强。只有唾液代谢组评分与糖尿病前期相关。
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来源期刊
Diabetologia
Diabetologia 医学-内分泌学与代谢
CiteScore
18.10
自引率
2.40%
发文量
193
审稿时长
1 months
期刊介绍: Diabetologia, the authoritative journal dedicated to diabetes research, holds high visibility through society membership, libraries, and social media. As the official journal of the European Association for the Study of Diabetes, it is ranked in the top quartile of the 2019 JCR Impact Factors in the Endocrinology & Metabolism category. The journal boasts dedicated and expert editorial teams committed to supporting authors throughout the peer review process.
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