Hao Yuxu, She Xiangjun, Huang Gongyu, Chu Xuyang, Zhao Shixin, Lv Zhe, Tao Jiwei, Zhang Yun
National Clinical Research Center for Ocular Disease, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Department of Vitreous and Retinal Center, Affiliated Eye Hospital of WenZhou Medical University, Fengqi Dong Road 618#, Shangcheng District, Hangzhou, China.
BMC Ophthalmol. 2025 Aug 15;25(1):460. doi: 10.1186/s12886-025-04283-6.
The therapeutic outcome for Type 2 Diabetic Retinopathy (T2DR) following vitrectomy has been unsatisfactory, with no definitive biomarker available to predict treatment response. Identifying a biomarker correlated with treatment efficacy is crucial, as the vitreous-situated between the lens and retina-may influence retinal metabolic perturbations.
Vitreous samples were collected during vitrectomy, and their metabolic profiles were analyzed using Ultraperformance Liquid Chromatography coupled with Tandem Mass Spectrometry (UPLC-MS/MS). Statistical analyses were conducted to identify metabolites and metabolic pathways correlated with therapeutic outcomes.
Patients demonstrating poor therapeutic responses exhibited elevated levels of specific metabolites, including Dodecanoylcarnitine, Linoleylcarnitine, Stearylcarnitine, Decanoic acid, and Proline. Perturbed metabolic pathways included Fatty Acid Biosynthesis, Beta Oxidation of Very Long Chain Fatty Acids, and Mitochondrial Beta-Oxidation of Short Chain Saturated Fatty Acids. These metabolites showed strong discriminatory power for predicting positive outcomes, with Area Under the Curve (AUC) values of 0.925, 0.885, 0.864, 0.811, and 0.808, respectively.
This study highlights the potential of Dodecanoylcarnitine, Linoleylcarnitine, Stearylcarnitine, Decanoic acid, and Proline as biomarkers for predicting therapeutic outcomes following vitrectomy for T2DR. These findings provide novel insights into the metabolic factors influencing treatment response variability and suggest pathways for future therapeutic interventions.
2型糖尿病视网膜病变(T2DR)玻璃体切除术后的治疗效果并不理想,目前尚无明确的生物标志物可用于预测治疗反应。由于位于晶状体和视网膜之间的玻璃体可能会影响视网膜代谢紊乱,因此识别与治疗效果相关的生物标志物至关重要。
在玻璃体切除术中收集玻璃体样本,并使用超高效液相色谱-串联质谱(UPLC-MS/MS)分析其代谢谱。进行统计分析以识别与治疗结果相关的代谢物和代谢途径。
治疗反应较差的患者表现出特定代谢物水平升高,包括十二烷酰肉碱、亚油酰肉碱、硬脂酰肉碱、癸酸和脯氨酸。受干扰的代谢途径包括脂肪酸生物合成、超长链脂肪酸的β氧化以及短链饱和脂肪酸的线粒体β氧化。这些代谢物对预测阳性结果具有很强的鉴别能力,曲线下面积(AUC)值分别为0.925、0.885、0.864、0.811和0.808。
本研究强调了十二烷酰肉碱、亚油酰肉碱、硬脂酰肉碱、癸酸和脯氨酸作为预测T2DR玻璃体切除术后治疗结果生物标志物的潜力。这些发现为影响治疗反应变异性的代谢因素提供了新的见解,并为未来的治疗干预指明了途径。