Fan Kang-Chih, Yen I-Weng, Lin Chia-Hung, Yang Chung-Yi, Kuo Chun-Heng, Chen Szu-Chi, Lyu Ya-Pin, Juan Hsien-Chia, Lin Mao-Shin, Wang Shu-Huei, Li Hung-Yuan
Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan.
Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Int J Obes (Lond). 2025 Aug 26. doi: 10.1038/s41366-025-01890-7.
Type 2 diabetes (T2D) is a growing global health challenge, necessitating novel biomarkers for early risk assessment. This study investigates the associations between plasma sphingosine-1-phosphate (S1P), apolipoprotein M (ApoM), obesity measures, and the risk of incident T2D.
We utilized data from the Taiwan Lifestyle Study, a prospective cohort initiated in 2006. A total of 1207 individuals without diabetes at baseline were included. Abdominal fat distribution was assessed using computed tomography, while plasma S1P and ApoM levels were measured using ELISA.
During an average follow-up of 5.93 years, 152 participants developed diabetes. Plasma S1P correlated with visceral, peritoneal, and retroperitoneal fat (all p < 0.001), while ApoM correlated with total, subcutaneous, and visceral fat (all p < 0.001). In adjusted models, plasma S1P significantly predicted diabetes (HR 0.52, 95% CI 0.35-0.77, p = 0.001), whereas plasma ApoM did not (HR 1.16, 95% CI 0.94-1.43, p = 0.170). The predictive model incorporating S1P showed an AUC of 0.7698 and a concordance statistic of 0.7637, outperforming traditional risk factors.
Plasma S1P and ApoM are both associated with obesity. However, only plasma S1P is a good predictive biomarker for incident T2D, underscoring its potential for early risk assessment and intervention.
2型糖尿病(T2D)是一项日益严峻的全球健康挑战,需要新的生物标志物用于早期风险评估。本研究调查血浆鞘氨醇-1-磷酸(S1P)、载脂蛋白M(ApoM)、肥胖指标与新发T2D风险之间的关联。
我们使用了台湾生活方式研究的数据,这是一项于2006年启动的前瞻性队列研究。共纳入1207名基线时无糖尿病的个体。使用计算机断层扫描评估腹部脂肪分布,同时使用酶联免疫吸附测定法测量血浆S1P和ApoM水平。
在平均5.93年的随访期间,152名参与者患糖尿病。血浆S1P与内脏、腹膜和腹膜后脂肪相关(均p<0.001),而ApoM与总脂肪、皮下脂肪和内脏脂肪相关(均p<0.001)。在调整模型中,血浆S1P显著预测糖尿病(风险比0.52,95%置信区间0.35 - 0.77,p = 0.001),而血浆ApoM则不然(风险比1.16,95%置信区间0.94 - 1.43,p = 0.170)。纳入S1P的预测模型的曲线下面积为0.7698,一致性统计量为0.7637,优于传统风险因素。
血浆S1P和ApoM均与肥胖相关。然而,只有血浆S1P是新发T2D的良好预测生物标志物,突出了其在早期风险评估和干预方面的潜力。