FRIDAY, April 25, 2025 -- Five proteins are significant predictors of metabolic dysfunction-associated steatotic liver disease (MASLD), according to a study presented at the 2025 Digestive Disease Week, held from May 3 to 6 in San Diego.

2025年4月25日，星期五——一项在2025年5月3日至6日于圣地亚哥举行的消化疾病周上发表的研究表明，五种蛋白质是代谢功能障碍相关脂肪性肝病（MASLD）的重要预测因子。

Shiyi Yu, M.D., from the Guangdong Provincial People's Hospital in Guangzhou, China, and colleagues analyzed proteomics data from 52,952 U.K. Biobank participants without baseline MASLD to identify accurate long-term biomarkers and develop predictive models for MASLD.

来自中国广州广东省人民医院的余世益博士及其同事分析了英国生物银行52,952名无基线MASLD参与者的蛋白质组学数据，以识别准确的长期生物标志物，并开发MASLD的预测模型。

Five of the 2,737 proteins analyzed emerged as robust predictive biomarkers for MASLD incidence within five years: CDHR2 (area under the curve [AUC], 0.825), FUOM (AUC, 0.815), KRT18 (AUC, 0.810), ACY1 (AUC, 0.803), and GGT1 (AUC, 0.797). The researchers observed significant deviations in plasma concentrations of these proteins up to 16 years before MASLD onset.

在分析的2737种蛋白质中，有五种蛋白质被确定为五年内MASLD发生率的可靠预测生物标志物：CDHR2（曲线下面积[AUC]，0.825）、FUOM（AUC，0.815）、KRT18（AUC，0.810）、ACY1（AUC，0.803）和GGT1（AUC，0.797）。研究人员观察到，这些蛋白质的血浆浓度在MASLD发病前长达16年就出现了显著偏差。

A markedly increased risk for MASLD was seen for participants with higher baseline levels of these proteins (hazard ratios, 7.05 to 9.81). The combination of five proteins showed predictive ability for MASLD up to 16 years, with accuracy varying across time frames: AUCs, 0.857, 0.775, 0.739, and 0.758 for five years, 10 years, more than 10 years, and all time, respectively.

基线水平较高的这些蛋白质的参与者，其 MASLD 风险显著增加（风险比为 7.05 至 9.81）。五种蛋白质的组合显示出对长达 16 年的 MASLD 的预测能力，且准确性随时间范围有所不同：五年、十年、超过十年和所有时间的 AUC 分别为 0.857、0.775、0.739 和 0.758。

When combined with clinical predictors, the predictive performance was further enhanced: AUCs, 0.894, 0.840, 0.807, and 0.822 for five years, 10 years, more than 10 years, and all time, respectively. Cohorts from different regions showed minimal variation in AUC, supporting the robustness of the model..

当与临床预测因子结合时，预测性能进一步增强：五年、十年、十年以上和所有时间的AUC分别为0.894、0.840、0.807和0.822。来自不同地区的队列表现出AUC的最小差异，支持了模型的稳健性。

'The field urgently needs effective biomarkers and predictive models, and our research shows that plasma proteins offer novel potential strategies for early prediction and intervention,' Yu said in a statement.

“该领域迫切需要有效的生物标志物和预测模型，我们的研究表明，血浆蛋白为早期预测和干预提供了新的潜在策略，”余在一份声明中说道。

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