Yu Xiaoqian, Du Jianmin, Zhang Wenyu, Zhang Xinghai, Zhao Hengli, Wen Qing, Xu Rui
Department of Cardiology, Jinan Central Hospital, Shandong University, Jinan, 250013, China.
Department of Clinical Research Central, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, China.
Heliyon. 2024 Aug 14;10(17):e36333. doi: 10.1016/j.heliyon.2024.e36333. eCollection 2024 Sep 15.
This study delves into the intricacies of resistant hypertension (RH), a prevalent yet enigmatic chronic cardiovascular ailment that is linked to a myriad of complications. Although its full pathogenesis is still shrouded in mystery, the field of proteomics offers a beacon of hope, with its potential to shed light on the proteins that orchestrate the tapestry of life. Harnessing the power of proteomics is essential for demystifying the pathogenesis of RH, enabling more precise diagnostics and treatments, and ultimately improving prognostic outcomes.
Our approach was to employ rigorous statistical analyses to home in on proteins with significant expression variances between our two cohorts. We complemented this with bioinformatics tools to unravel the intricate functions and pathways of these proteins. By synthesizing these insights with the clinical profiles of our patients, we were able to distill a set of definitive biomarkers with diagnostic potential. In our quest for clarity, we also embarked on a retrospective journey, amassing and scrutinizing clinical data from both RH and hypertension (HTN) patients. We crafted and rigorously assessed risk factor models to evaluate their diagnostic prowess.
Our exploration spanned across 30 blood samples from RH patients and 20 from those grappling with HTN. Our inquiry yielded some compelling revelations: (1) RH patients showcased 29 unique proteins, in contrast to the 59 unique proteins found in HTN patients. A deeper dive into the proteomic data unveiled molecular functions predominantly tied to lipid metabolism, protein networking, and oxidative stress, with a spotlight on pathways such as cholesterol metabolism, coagulation, and the complement cascade. (2) By charting receiver operating characteristic curves and rigorously analyzing the proteomic data, we surfaced 11 proteins with notable diagnostic potential, tightly interwoven with clinical metrics.
Our research has pinpointed 11 proteins that stand as promising serum biomarkers, endowed with significant diagnostic value. This discovery marks a stride towards a more nuanced understanding and management of resistant hypertension.
本研究深入探讨难治性高血压(RH)的复杂性,这是一种常见但神秘的慢性心血管疾病,与众多并发症相关。尽管其完整的发病机制仍笼罩在神秘之中,但蛋白质组学领域提供了一线希望,它有潜力揭示构成生命图景的蛋白质。利用蛋白质组学的力量对于揭开RH的发病机制、实现更精确的诊断和治疗以及最终改善预后结果至关重要。
我们的方法是采用严格的统计分析来确定两组之间具有显著表达差异的蛋白质。我们用生物信息学工具对其进行补充,以揭示这些蛋白质的复杂功能和途径。通过将这些见解与我们患者的临床特征相结合,我们能够提炼出一组具有诊断潜力的确定性生物标志物。为了寻求清晰的认识,我们还进行了回顾性研究,收集并仔细审查了RH患者和高血压(HTN)患者的临床数据。我们构建并严格评估了风险因素模型,以评估其诊断能力。
我们的探索涵盖了30份RH患者的血样和20份HTN患者的血样。我们的研究得出了一些引人注目的发现:(1)RH患者表现出29种独特的蛋白质,而HTN患者有59种独特的蛋白质。对蛋白质组学数据的进一步深入研究揭示,分子功能主要与脂质代谢、蛋白质网络和氧化应激相关,重点关注胆固醇代谢、凝血和补体级联等途径。(2)通过绘制受试者工作特征曲线并严格分析蛋白质组学数据,我们发现了11种具有显著诊断潜力的蛋白质,它们与临床指标紧密相关。
我们的研究确定了11种蛋白质,它们有望成为具有重要诊断价值的血清生物标志物。这一发现标志着在更细致地理解和管理难治性高血压方面迈出了一步。