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相位角的蛋白质组学:基于人群的 KORA S4 研究结果。

Proteomics of the phase angle: Results from the population-based KORA S4 study.

机构信息

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.

Research Unit Protein Science and Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Heidemannstr. 1, 80939 Munich, Germany.

出版信息

Clin Nutr. 2022 Aug;41(8):1818-1826. doi: 10.1016/j.clnu.2022.06.038. Epub 2022 Jun 30.

Abstract

BACKGROUND & AIMS: The phase angle (PhA) measured with bioelectrical impedance analysis is considered to reflect the interrelated components body cell mass and fluid distribution based on technical and physical aspects of the PhA measurement. However, the biomedical meaning of the PhA remains vague. Previous studies mainly assessed associations of the PhA with numerous diseases and health outcomes, but few connected protein markers to the PhA. To broaden our understanding of the biomedical background of the PhA, we aimed to explore a proteomics profile associated with the PhA and related biological factors.

METHODS

The study sample encompassed 1484 participants (725 women and 759 men) aged 55-74 years from the population-based Cooperative Health Research in the Region of Augsburg (KORA) S4 study. Proteomics measurements were performed with a proximity extension assay. We employed boosting with stability selection to establish a set of markers that was strongly associated with the PhA from a group of 233 plasma protein markers. We integrated the selected protein markers into a network and enrichment analysis to identify gene ontology (GO) terms significantly overrepresented for the selected PhA protein markers.

RESULTS

Boosting with stability selection identified seven protein markers that were strongly and independently associated with the PhA: N-terminal prohormone brain natriuretic peptide (NT-proBNP), insulin-like growth factor-binding protein 2 (IGFBP2), adrenomedullin (ADM), myoglobin (MB), matrix metalloproteinase-9 (MMP9), protein-glutamine gamma-glutamyltransferase 2 (TGM2), and fractalkine (CX3CL1) [beta coefficient per 1 standard deviation increase in normalized protein expression values on a log 2 scale (95% confidence interval): -0.12 (-0.15, -0.08), -0.13 (-0.17, -0.09), -0.14 (-0.18, -0.10), 0.10 (0.07, 0.14), 0.07 (0.04, 0.10), 0.08 (0.05, 0.11), -0.06 (-0.10, -0.03), respectively]. According to the enrichment analysis, this protein profile was significantly overrepresented in the following top five GO terms: positive regulation of cell population proliferation (p-value: 1.32E-04), extracellular space (p-value: 1.34E-04), anatomical structure formation involved in morphogenesis (p-value: 2.92E-04), regulation of multicellular organismal development (p-value: 5.72E-04), and metal ion homeostasis (p-value: 8.86E-04).

CONCLUSION

Implementing a proteomics approach, we identified six new protein markers strongly associated with the PhA and confirmed that NT-proBNP is a key PhA marker. The main biological processes that were related to this PhA's protein profile are involved in regulating the amount and growth of cells, reinforcing, from a biomedical perspective, the current technical-based consensus of the PhA to reflect body cell mass.

摘要

背景与目的

生物电阻抗分析测量的相位角(PhA)被认为基于 PhA 测量的技术和物理方面反映了相关的细胞体质量和体液分布成分。然而,PhA 的生物医学意义仍然模糊不清。先前的研究主要评估了 PhA 与许多疾病和健康结果的相关性,但很少将蛋白质标志物与 PhA 联系起来。为了更深入地了解 PhA 的生物医学背景,我们旨在探索与 PhA 相关的蛋白质组学特征以及相关的生物学因素。

方法

本研究样本包括来自基于人群的奥格斯堡合作健康研究(KORA)S4 研究的 1484 名参与者(725 名女性和 759 名男性),年龄在 55-74 岁之间。蛋白质组学测量使用邻近延伸测定法进行。我们采用增强稳定性选择方法,从 233 种血浆蛋白标志物中建立了一组与 PhA 强相关的标志物。我们将选定的蛋白质标志物整合到网络和富集分析中,以确定所选 PhA 蛋白标志物显著过表达的基因本体(GO)术语。

结果

增强稳定性选择确定了七个与 PhA 强相关且独立的蛋白质标志物:N-末端脑钠肽前体(NT-proBNP)、胰岛素样生长因子结合蛋白 2(IGFBP2)、肾上腺髓质素(ADM)、肌红蛋白(MB)、基质金属蛋白酶 9(MMP9)、转谷氨酰胺酶 2(TGM2)和趋化因子(CX3CL1)[标准化蛋白质表达值每增加一个标准差的 beta 系数(95%置信区间):-0.12(-0.15,-0.08),-0.13(-0.17,-0.09),-0.14(-0.18,-0.10),0.10(0.07,0.14),0.07(0.04,0.10),0.08(0.05,0.11),-0.06(-0.10,-0.03)]。根据富集分析,该蛋白质谱在以下五个顶级 GO 术语中显著过表达:细胞群体增殖的正向调节(p 值:1.32E-04)、细胞外空间(p 值:1.34E-04)、形态发生中涉及的解剖结构形成(p 值:2.92E-04)、多细胞生物发育的调节(p 值:5.72E-04)和金属离子稳态(p 值:8.86E-04)。

结论

通过实施蛋白质组学方法,我们确定了六个与 PhA 强相关的新蛋白质标志物,并证实 NT-proBNP 是 PhA 的关键标志物。与该 PhA 蛋白质谱相关的主要生物学过程涉及调节细胞数量和生长,从生物医学角度加强了 PhA 反映细胞体质量的当前基于技术的共识。

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