基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究

张步春, 孔祥勇, 邱广泉, 等. 基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究[J]. 临床心血管病杂志, 2022, 38(1): 34-39. doi: 10.13201/j.issn.1001-1439.2022.01.007
引用本文: 张步春, 孔祥勇, 邱广泉, 等. 基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究[J]. 临床心血管病杂志, 2022, 38(1): 34-39. doi: 10.13201/j.issn.1001-1439.2022.01.007
ZHANG Buchun, KONG Xiangyong, QIU Guangquan, et al. Research on plasma proteome of patients with severe coronary artery calcifications based on mass spectrometry and bioinformatics[J]. J Clin Cardiol, 2022, 38(1): 34-39. doi: 10.13201/j.issn.1001-1439.2022.01.007
Citation: ZHANG Buchun, KONG Xiangyong, QIU Guangquan, et al. Research on plasma proteome of patients with severe coronary artery calcifications based on mass spectrometry and bioinformatics[J]. J Clin Cardiol, 2022, 38(1): 34-39. doi: 10.13201/j.issn.1001-1439.2022.01.007

基于质谱与生物信息学的冠状动脉严重钙化患者血浆蛋白质组学研究

  • 基金项目:
    安徽省卫生健康委科研资助项目(No:AHWJ2021b082);合肥市科委项目(No:J2019Y02)
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Research on plasma proteome of patients with severe coronary artery calcifications based on mass spectrometry and bioinformatics

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  • 目的 基于非标记蛋白组学方法筛选冠状动脉(冠脉)严重钙化病变患者外周血浆中的特异性蛋白质标志物。方法 采用数据非依赖采集质谱技术检测30例冠脉严重钙化病变患者与30例非钙化对照人群血浆,生物信息学软件进一步分析差异表达蛋白质数据。结果 冠脉严重钙化病变患者与非钙化人群血浆相比较,共筛选出表达量差异2倍以上的差异蛋白共28种(其中表达上调的蛋白20种,表达下调的蛋白8种),基因本体论(GO)分析差异表达蛋白主要分布于细胞外区域、细胞外泌体和胞外细胞器部分;生物学过程主要涉及细胞过程、肌动蛋白细胞骨架和应激反应、白细胞介导的免疫和细胞活化;而其分子功能与蛋白质结合、信号受体结合和肌动蛋白结合相关。京都基因与基因组百科全书(KEGG)分析显示差异表达蛋白与补体和凝血级联、糖酵解/糖异生作用、细胞凋亡、HIF-1和Rap1信号通路相关。结论 冠脉严重钙化病变患者和非钙化人群的血浆蛋白质组学存在显著差异,这些差异表达蛋白质有望成为冠脉严重钙化病变鉴别诊断的新型生物标志物。
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  • 图 1  冠脉严重钙化病变患者与非钙化组人群血浆差异蛋白火山图

    Figure 1.  Plasma differential protein volcano map

    图 2  冠脉严重钙化病变患者与非钙化组人群血浆差异蛋白聚类热图

    Figure 2.  Clustering heat map of plasma differential proteins

    图 3  冠脉严重钙化病变患者与非钙化组人群血浆差异蛋白GO富集分析结果

    Figure 3.  Results of GO enrichment analysis of plasma differential proteins

    图 4  冠脉严重钙化病变患者与非钙化组人群血浆差异蛋白KEGG分析结果

    Figure 4.  Analysis of plasma differential protein KEGG

    表 1  两组人群基线资料比较

    Table 1.  General data X±S

    参数 非钙化组(30例) 钙化组(30例) P
    年龄/岁 68.90±1.15 68.37±1.27 0.76
    男性/例(%) 25(83.33) 25(83.33) 1.00
    BMI/(kg·m-2) 23.88±0.49 23.87±0.67 0.99
    高血压病史/例(%) 20(66.67) 21(70.00) 1.00
    糖尿病史/例(%) 1(3.33) 3(10.00) 0.61
    吸烟史/例(%) 13(43.33) 9(30.00) 0.42
    饮酒史/例(%) 11(36.67) 8(26.67) 0.58
    收缩压/mmHg 132.60±3.67 137.70±3.68 0.33
    舒张压/mmHg 77.60±2.33 79.43±2.06 0.56
    空腹血糖/(mmol·L-1) 5.60±0.26 5.51±0.27 0.81
    胆固醇/(mmol·L-1) 3.85±0.18 3.92±0.23 0.83
    低密度脂蛋白/(mmol·L-1) 2.08±0.15 2.09±0.17 0.96
    高密度脂蛋白/(mmol·L-1) 1.08±0.04 1.06±0.05 0.73
    甘油三酯/(mmol·L-1) 1.24±0.11 1.35±0.10 0.51
    肌酐/(μmol·L-1) 80.29±3.83 74.46±3.87 0.29
    下载: 导出CSV

    表 2  冠脉严重钙化病变患者与非钙化组人群血浆中28种蛋白质的表达差异

    Table 2.  Differences in the expression of 28 proteins in plasma

    编号 蛋白质序列号 蛋白信息描述 基因名称 表达倍数 P
    1 A0A2U8J8Y3 Ig heavy chain variable region IgH 5.201 0.017
    2 A0A5C2GMF2 IG c998_light_IGKV4-1_IGKJ2 N/A 4.567 0.003
    3 A0A5C2FZG2 IGL c1546_light_IGLV3-21_IGLJ3 N/A 4.147 0.007
    4 P14618 Pyruvate kinase PKM PKM 3.273 0.002
    5 Q6ZVM5 cDNA FLJ42083 fis,clone TCERX2000613 N/A 3.175 0.001
    6 A0A5C2GUI4 IG c1185_light_IGKV1-6_IGKJ1 N/A 2.567 0.029
    7 P67936 Tropomyosin alpha-4 chain TPM4 2.560 0.001
    8 A0A024RDT4 Lymphocyte cytosolic protein 1(L-plastin),isoform CRA_a LCP1 2.457 0.014
    9 A0A5C2GK17 IGH + IGL c357_light_IGKV1D-39_IGKJ1 N/A 2.350 0.016
    10 A0A5C2FZ57 IGL c2179_light_IGKV4-1_IGKJ1 N/A 2.321 0.027
    11 A0A5C2G5C2 IGH c189_heavy__IGHV3-33_IGHD6-19_IGHJ5 N/A 2.137 0.025
    12 A0A024RAG6 Complement C1q subcomponent subunit A ADIC 2.114 0.007
    13 B4DMC3 cDNA FLJ60302,highly similar to Neurocan core protein N/A 2.098 0.001
    14 A0A5C2FYH6 IGL c2011_light_IGKV1D-33_IGKJ4 N/A 2.081 0.018
    15 A0A5C2GUT1 IG c1271_heavy_IGHV3-33_IGHD1-1_IGHJ4 N/A 2.076 0.047
    16 Q7Z351 Uncharacterized protein DKFZp686N02209 DKFZp686N02209 2.079 0.016
    17 A0A5C2GNX4 IG c870_heavy_IGHV3-66_IGHD3-16_IGHJ1 N/A 2.073 0.005
    18 A0A5C2GVS9 IG c657_heavy_IGHV3-7_IGHD5-12_IGHJ4 N/A 2.059 0.024
    19 A0A5C2G1H9 IGL c2982_light_IGKV4-1_IGKJ1 N/A 2.047 0.041
    20 A0A024R6Q0 HCG2029544,isoform CRA_a hCG_2029544 2.000 0.025
    21 P07737 Profilin-1 PFN1 0.483 0.002
    22 A0A5C2GIJ0 IG c818_light_IGKV1D-33_IGKJ4 N/A 0.460 0.001
    23 A0A5C2FY46 IGL c1564_light_IGKV4-1_IGKJ4 N/A 0.436 0.012
    24 A0A5C2GIW4 IGH + IGL c645_heavy_IGHV3-23_IGHD2-21_IGHJ4 N/A 0.384 0.029
    25 A0A3B3IRV3 Malignant T-cell-amplified sequence MCTS2P 0.316 0.004
    26 A0A5C2GDY8 IGH + IGL c247_heavy_IGHV3-48_IGHD3-9_IGHJ6 N/A 0.287 0.041
    27 A0A5C2GRG0 IG c1788_heavy_IGHV1-46_IGHD5-18_IGHJ3 N/A 0.254 0.012
    28 A0A5C2G173 IGL c2300_light_IGKV1D-13_IGKJ4 N/A 0.226 0.002
    N/A=not avaible(未提供)。
    下载: 导出CSV
  • [1]

    Lee SJ, Lee IK, Jeon JH. vascular calcification-new insights into its mechanism[J]. Int J Mol Sci, 2020, 21(8): 2685. doi: 10.3390/ijms21082685

    [2]

    Pino LK, Rose J, O'Broin A, et al. Emerging mass spectrometry-based proteomics methodologies for novel biomedical applications[J]. Biochem Soc Trans, 2020, 48(5): 1953-1966. doi: 10.1042/BST20191091

    [3]

    Xu LL, Young A, Zhou A, et al. Machine learning in mass spectrometric analysis of DIA Data[J]. Proteomics, 2020, 20(21-22): e1900352. doi: 10.1002/pmic.201900352

    [4]

    Scanlon PJ, Faxon DP, Audet AM, et al. ACC/AHA guidelines for coronary angiography[J]. J Am Coll Cardiol, 1999, 33(6): 1756-1824. doi: 10.1016/S0735-1097(99)00126-6

    [5]

    王莽原, 宋雷, 霍强, 等. 蛋白质组学临床转化研究主要进展及在心脏研究领域应用的挑战和展望[J]. 中国循环杂志, 2021, 36(4): 412-416. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGXH202104018.htm

    [6]

    Duan M, Zhao WL, Zhou L, et al. Omics research in vascular calcification[J]. Clin Chim Acta, 2020, 511: 319-328. doi: 10.1016/j.cca.2020.10.022

    [7]

    Brunner PM, He H, Pavel AB, et al. The blood proteomic signature of early-onset pediatric atopic dermatitis shows systemic inflammation and is distinct from adult long-standing disease[J]. J Am Acad Dermatol, 2019, 81(2): 510-519. doi: 10.1016/j.jaad.2019.04.036

    [8]

    Murota A, Suzuki K, Kassai Y, et al. Serum proteomic analysis identifies interleukin 16 as a biomarker for clinical response during early treatment of rheumatoid arthritis[J]. Cytokine, 2016, 78: 87-93. doi: 10.1016/j.cyto.2015.12.002

    [9]

    Ma WQ, Sun XJ, Zhu Y, et al. PDK4 promotes vascular calcification by interfering with autophagic activity and metabolic reprogramming[J]. Cell Death Dis, 2020, 11(11): 991. doi: 10.1038/s41419-020-03162-w

    [10]

    刘佳佳, 曹宇, 盛喆. 冠状动脉钙化的病理生理机制及钙化评估进展[J]. 临床心血管病杂志, 2020, 36(8): 768-772. https://www.cnki.com.cn/Article/CJFDTOTAL-LCXB202008019.htm

    [11]

    Martínez-López D, Roldan-Montero R, García-Marqués F, et al. Complement C5 Protein as a Marker of Subclinical Atherosclerosis[J]. J Am Coll Cardiol, 2020, 75(16): 1926-1941. doi: 10.1016/j.jacc.2020.02.058

    [12]

    Haskard DO, Boyle JJ, Mason JC. The role of complement in atherosclerosis[J]. Curr Opin Lipidol, 2008, 19(5): 478-482. doi: 10.1097/MOL.0b013e32830f4a06

    [13]

    Snyder ML, Shields KJ, Korytkowski MT, et al. Complement protein C3 and coronary artery calcium in middle-aged women with polycystic ovary syndrome and controls[J]. Gynecol Endocrinol, 2014, 30(7): 511-515. doi: 10.3109/09513590.2014.895985

    [14]

    Wang Y, Miao Y, Gong K, et al. Plasma complement protein C3a level was associated with abdominal aortic calcification in patients on hemodialysis[J]. J Cardiovasc Transl Res, 2019, 12(5): 496-505. doi: 10.1007/s12265-019-09885-2

    [15]

    Allison SJ. Hypertension: Complement C1 and β-catenin in hypertensive arterial remodelling[J]. Nat Rev Nephrol, 2015, 11(5): 255.

    [16]

    匡圆圆, 马琦琳, 张赛丹. 血清补体C1q水平与老年患者冠状动脉狭窄程度的相关性研究[J]. 临床心血管病杂志, 2018, 34(11): 1077-1080. https://www.cnki.com.cn/Article/CJFDTOTAL-LCXB201811010.htm

    [17]

    Shi J, Yang Y, Cheng A, et al. Metabolism of vascular smooth muscle cells in vascular diseases[J]. Am J Physiol Heart Circ Physiol, 2020, 319(3): H613-H631. doi: 10.1152/ajpheart.00220.2020

    [18]

    Zhu Y, Ji JJ, Wang XD, et al. Periostin promotes arterial calcification through PPARγ-related glucose metabolism reprogramming[J]. Am J Physiol Heart Circ Physiol, 2021, 320(6): H2222-H2239. doi: 10.1152/ajpheart.01009.2020

    [19]

    Phadwal K, Vrahnas C, Ganley IG, et al. Mitochondrial dysfunction: cause or consequence of vascular calcification?[J]. Front Cell Dev Biol, 2021, 9: 611922. doi: 10.3389/fcell.2021.611922

    [20]

    Mokas S, Larivière R, Lamalice L, et al. Hypoxia-inducible factor-1 plays a role in phosphate-induced vascular smooth muscle cell calcification[J]. Kidney Int, 2016, 90(3): 598-609. doi: 10.1016/j.kint.2016.05.020

    [21]

    Martinez-Val A, Bekker-Jensen DB, Hogrebe A, et al. Data processing and analysis for DIA-based phosphoproteomics using spectronaut[J]. MethodsMol Biol, 2021, 2361: 95-107.

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收稿日期:  2021-09-11
刊出日期:  2022-01-13

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