Abstract：
METHODS: A prospective study.
BACKGROUND: This study aims to investigate the relationship between different states of bipolar disorder (BD) and plasma inflammatory proteins, which may be used as their biomarkers.
METHODS: We totally collected admission plasma from 16 healthy subjects and 32 BD patients, including 16 patients with BD manic episodes (BD-M) and 16 patients with BD depressive episodes (BD-D). Ten samples in each group were analyzed by proximity extension assays of 92 inflammation-related proteins, and all samples were verified by ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cut-off values of potential biomarkers.
RESULTS: Our findings showed that BD patients had significantly higher levels of IL6, MCP-1, TGF-α, IL8, and IL10-RB in comparison with healthy subjects, and their cut-off values were 0.531 pg/ml, 0.531 pg/ml, 0.469 pg/ml, 0.406 pg/ml, and 0.406 pg/ml, respectively. The levels of IL6, MCP-1, TGF-α, and IL8 in BD-M patients were significantly greater than in healthy individuals, and their cut-off values were 0.813 pg/ml, 0.688 pg/ml, 0.438 pg/ml, and 0.625 pg/ml, respectively. Moreover, we found cut-off values of 0.500 pg/mL and 0.688 ng/mL for TGF-α and β-NGF, respectively, even though the levels in the BD-D group were much higher than in the control group. Furthermore, BD-M patients had significantly higher levels of IL6, FGF-19, IFN-γ, and IL-17C in comparison with BD-D patients. Likewise, 0.687 pg/ml, 0.500 pg/ml, 0.438 pg/ml, and 0.375 pg/ml were their cut-off values, respectively. Our findings also showed that the combination of these proteins had the highest diagnostic accuracy.
CONCLUSIONS: Our findings showed that plasma inflammatory proteins were related to BD and its subtypes, which may be utilized as potential biomarkers of different stages of BD. Furthermore, we also found their cut-off values and their combinations to have the highest diagnostic accuracy, providing clinicians with a new method to rapidly differentiate BD and its subtypes and manage early targeted interventions.
BACKGROUND: This study aims to investigate the relationship between different states of bipolar disorder (BD) and plasma inflammatory proteins, which may be used as their biomarkers.
METHODS: We totally collected admission plasma from 16 healthy subjects and 32 BD patients, including 16 patients with BD manic episodes (BD-M) and 16 patients with BD depressive episodes (BD-D). Ten samples in each group were analyzed by proximity extension assays of 92 inflammation-related proteins, and all samples were verified by ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cut-off values of potential biomarkers.
RESULTS: Our findings showed that BD patients had significantly higher levels of IL6, MCP-1, TGF-α, IL8, and IL10-RB in comparison with healthy subjects, and their cut-off values were 0.531 pg/ml, 0.531 pg/ml, 0.469 pg/ml, 0.406 pg/ml, and 0.406 pg/ml, respectively. The levels of IL6, MCP-1, TGF-α, and IL8 in BD-M patients were significantly greater than in healthy individuals, and their cut-off values were 0.813 pg/ml, 0.688 pg/ml, 0.438 pg/ml, and 0.625 pg/ml, respectively. Moreover, we found cut-off values of 0.500 pg/mL and 0.688 ng/mL for TGF-α and β-NGF, respectively, even though the levels in the BD-D group were much higher than in the control group. Furthermore, BD-M patients had significantly higher levels of IL6, FGF-19, IFN-γ, and IL-17C in comparison with BD-D patients. Likewise, 0.687 pg/ml, 0.500 pg/ml, 0.438 pg/ml, and 0.375 pg/ml were their cut-off values, respectively. Our findings also showed that the combination of these proteins had the highest diagnostic accuracy.
CONCLUSIONS: Our findings showed that plasma inflammatory proteins were related to BD and its subtypes, which may be utilized as potential biomarkers of different stages of BD. Furthermore, we also found their cut-off values and their combinations to have the highest diagnostic accuracy, providing clinicians with a new method to rapidly differentiate BD and its subtypes and manage early targeted interventions.
摘要：
方法：前瞻性研究。
背景：本研究旨在探讨双相情感障碍（BD）不同状态与血浆炎性蛋白之间的关系，可以用作它们的生物标志物。
方法：我们收集了16名健康受试者和32名BD患者的入院血浆，包括16例BD躁狂发作(BD-M)患者和16例BD抑郁发作(BD-D)患者。通过92种炎症相关蛋白的邻近延伸分析分析每组10个样本，所有样品均通过ELISA进行验证。进行受试者工作特征（ROC）曲线分析以鉴定潜在生物标志物的诊断能力和临界值。
结果：我们的发现表明BD患者的IL6、MCP-1、TGF-α水平明显升高，与健康受试者相比，IL8和IL10-RB，它们的临界值为0.531pg/ml，0.531pg/ml,0.469pg/ml,0.406pg/ml,和0.406pg/ml，分别。IL6、MCP-1、TGF-α、BD-M患者的IL8显著高于健康个体，它们的临界值为0.813pg/ml，0.688pg/ml,0.438pg/ml,和0.625pg/ml，分别。此外，我们发现TGF-α和β-NGF的截断值为0.500pg/mL和0.688ng/mL，分别,尽管BD-D组的水平远高于对照组。此外，BD-M患者的IL6、FGF-19、IFN-γ、与BD-D患者相比，IL-17C。同样，0.687pg/ml,0.500pg/ml,0.438pg/ml,0.375pg/ml是它们的截止值，分别。我们的发现还表明，这些蛋白质的组合具有最高的诊断准确性。
结论：我们的研究结果表明，血浆炎症蛋白与BD及其亚型有关，可用作BD不同阶段的潜在生物标志物。此外，我们还发现它们的截止值及其组合具有最高的诊断准确性，为临床医生提供了一种快速区分BD及其亚型并管理早期针对性干预措施的新方法。
背景：本研究旨在探讨双相情感障碍（BD）不同状态与血浆炎性蛋白之间的关系，可以用作它们的生物标志物。
方法：我们收集了16名健康受试者和32名BD患者的入院血浆，包括16例BD躁狂发作(BD-M)患者和16例BD抑郁发作(BD-D)患者。通过92种炎症相关蛋白的邻近延伸分析分析每组10个样本，所有样品均通过ELISA进行验证。进行受试者工作特征（ROC）曲线分析以鉴定潜在生物标志物的诊断能力和临界值。
结果：我们的发现表明BD患者的IL6、MCP-1、TGF-α水平明显升高，与健康受试者相比，IL8和IL10-RB，它们的临界值为0.531pg/ml，0.531pg/ml,0.469pg/ml,0.406pg/ml,和0.406pg/ml，分别。IL6、MCP-1、TGF-α、BD-M患者的IL8显著高于健康个体，它们的临界值为0.813pg/ml，0.688pg/ml,0.438pg/ml,和0.625pg/ml，分别。此外，我们发现TGF-α和β-NGF的截断值为0.500pg/mL和0.688ng/mL，分别,尽管BD-D组的水平远高于对照组。此外，BD-M患者的IL6、FGF-19、IFN-γ、与BD-D患者相比，IL-17C。同样，0.687pg/ml,0.500pg/ml,0.438pg/ml,0.375pg/ml是它们的截止值，分别。我们的发现还表明，这些蛋白质的组合具有最高的诊断准确性。
结论：我们的研究结果表明，血浆炎症蛋白与BD及其亚型有关，可用作BD不同阶段的潜在生物标志物。此外，我们还发现它们的截止值及其组合具有最高的诊断准确性，为临床医生提供了一种快速区分BD及其亚型并管理早期针对性干预措施的新方法。
