Identification of potential serum biomarkers of acute paraquat poisoning in humans using an iTRAQ quantitative proteomic

被引:4
|
作者
Wei, Liming [2 ,3 ,4 ]
Wang, Yi [2 ,3 ]
Lin, Ling [2 ,3 ]
Zhang, Lei [2 ,3 ]
Shi, Yan [1 ]
Xiang, Ping [1 ]
Cao, Shujun [4 ]
Shen, Min [1 ]
Yang, Pengyuan [2 ,3 ]
机构
[1] Minist Justice, Inst Forens Sci, Shanghai Forens Serv Platform, Shanghai Key Lab Forens Med, Shanghai, Peoples R China
[2] Fudan Univ, Inst Biomed Sci, Shanghai, Peoples R China
[3] Fudan Univ, Dept Chem, Shanghai, Peoples R China
[4] Shanghai Songjiang Dist Cent Hosp, Shanghai, Peoples R China
来源
RSC ADVANCES | 2018年 / 8卷 / 19期
关键词
MAMMALIAN IRON-METABOLISM; INDUCED PULMONARY INJURY; AMYLOID-P COMPONENT; CYSTIC-FIBROSIS; CANCER-CELLS; EXPRESSION; PROTEINS; S100; INTOXICATION; ACTIVATION;
D O I
10.1039/c7ra12956d
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Paraquat (PQ) poisoning has high mortality rates in many countries. Due to it readily being absorbed through the gastrointestinal tract and rapidly excreted in the urine, few biomarkers possess satisfactory specificity and sensitivity in diagnostic and forensic practices. To investigate serum biomarkers in patients with PQ poisoning, pooled sera was analyzed using a proteomic approach based on iTRAQ coupled LC-MS/MS. Of the 413 proteins identified with high confidence, 81 were found to be differentially expressed (1.5-fold change) in the sera of patients with PQ poisoning. The differential expression pattern of 4 of these proteins was validated by enzyme-linked immunosorbent assay (ELISA) in clinical samples. A sera sample from a PQ poisoning patient has shown relatively increased abundance of S100A8 and S100A9. The overexpression of S100A8 and S100A9 was further validated in the lung tissue of PQ-treated rat associated with lung damage. Meanwhile, we identified another two down-expressed proteins, transferrin receptor protein 1 (TfR1) and serum amyloid P-component (SAP), which may be also practicable in human clinical samples as PQ poisoning serum biomarkers. Furthermore, receiver operating characteristic curve analysis confirmed that the expression levels of S100 alarmins, TfR1 and SAP in patient serum could provide a discriminatory diagnostic test for predicting PQ poisoning in patients. Therefore, our results suggest that increased serum levels of S100 alarmins and decreased serum levels of TfR1 and SAP may constitute potential biomarkers for the prediction of PQ poisoning in humans, and might be novel therapeutic targets in PQ poisoning.
引用
收藏
页码:10598 / 10609
页数:12
相关论文
共 50 条
  • [21] iTRAQ-based proteomic analysis reveals potential serum biomarkers of allergic and nonallergic asthma
    Nieto-Fontarigo, Juan Jose
    Gonzalez-Barcala, Francisco Javier
    Andrade-Bulos, Luis Juan
    San-Jose, Maria Esther
    Cruz, Maria Jesus
    Valdes-Cuadrado, Luis
    Crujeiras, Rosa Maria
    Arias, Pilar
    Salgado, Francisco Javier
    ALLERGY, 2020, 75 (12) : 3171 - 3183
  • [22] BIOMARKERS OF ACUTE KIDNEY INJURY IN PATIENTS WITH ACUTE PARAQUAT POISONING
    Roberts, D.
    Wilks, M.
    Buckley, N.
    NEPHROLOGY, 2010, 15 : 79 - 79
  • [23] Combined Serum and EPS-urine Proteomic Analysis Using iTRAQ Technology for Discovery of Potential Prostate Cancer Biomarkers
    Zhang, Mo
    Chen, Lizhu
    Yuan, Zhengwei
    Yang, Zeyu
    Li, Yue
    Shan, Liping
    Yin, Bo
    Fei, Xiang
    Miao, Jianing
    Song, Yongsheng
    DISCOVERY MEDICINE, 2016, 22 (122) : 281 - 295
  • [24] Identification of specific biomarkers for gastric adenocarcinoma by ITRAQ proteomic approach
    Xiaoxiao Wang
    Qiaoming Zhi
    Songbai Liu
    Sheng-Li Xue
    Congcong Shen
    Yangxin Li
    Chaofan Wu
    Zaixiang Tang
    Weichang Chen
    Jenny Lee Song
    Meiyu Bao
    Yao-Hua Song
    Jin Zhou
    Scientific Reports, 6
  • [25] Identification of specific biomarkers for gastric adenocarcinoma by ITRAQ proteomic approach
    Wang, Xiaoxiao
    Zhi, Qiaoming
    Liu, Songbai
    Xue, Sheng-Li
    Shen, Congcong
    Li, Yangxin
    Wu, Chaofan
    Tang, Zaixiang
    Chen, Weichang
    Song, Jenny Lee
    Bao, Meiyu
    Song, Yao-Hua
    Zhou, Jin
    SCIENTIFIC REPORTS, 2016, 6
  • [26] Identification of Serum Biomarkers for Ischemic Penumbra by iTRAQ-Based Quantitative Proteomics Analysis
    Pang, Xiao-Min
    Zhou, Xia
    Su, Sheng-You
    Chen, Chun-Yong
    Wei, Zhi-Xiao
    Tao, Yi-Feng
    Liu, Jing-Li
    PROTEOMICS CLINICAL APPLICATIONS, 2019, 13 (05)
  • [27] Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach
    Kimura, Yayoi
    Nakai, Yusuke
    Shin, Jihye
    Hara, Miyui
    Takeda, Yuriko
    Kubo, Sousuke
    Jeremiah, Sundararaj Stanleyraj
    Ino, Yoko
    Akiyama, Tomoko
    Moriyama, Kayano
    Sakai, Kazuya
    Saji, Ryo
    Nishii, Mototsugu
    Kitamura, Hideya
    Murohashi, Kota
    Yamamoto, Kouji
    Kaneko, Takeshi
    Takeuchi, Ichiro
    Hagiwara, Eri
    Ogura, Takashi
    Hasegawa, Hideki
    Tamura, Tomohiko
    Yamanaka, Takeharu
    Ryo, Akihide
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [28] Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach
    Yayoi Kimura
    Yusuke Nakai
    Jihye Shin
    Miyui Hara
    Yuriko Takeda
    Sousuke Kubo
    Sundararaj Stanleyraj Jeremiah
    Yoko Ino
    Tomoko Akiyama
    Kayano Moriyama
    Kazuya Sakai
    Ryo Saji
    Mototsugu Nishii
    Hideya Kitamura
    Kota Murohashi
    Kouji Yamamoto
    Takeshi Kaneko
    Ichiro Takeuchi
    Eri Hagiwara
    Takashi Ogura
    Hideki Hasegawa
    Tomohiko Tamura
    Takeharu Yamanaka
    Akihide Ryo
    Scientific Reports, 11
  • [29] Identification of Tear Fluid Biomarkers in Vernal Keratoconjunctivitis Using iTRAQ Quantitative Proteomics
    Bortolotti, M.
    Palmigiano, A.
    Messina, A.
    Mazzola, E.
    Milazzo, S.
    Garozzo, D.
    Leonardi, A.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2010, 51 (13)
  • [30] Proteomic Technologies for Identification of Serum Biomarkers of Potential Autoimmune Demyelinating Polyneuropathies
    Ziganshin, R. H.
    Arapidi, G. P.
    Azarkin, I. V.
    Balmasova, I. P.
    Timchenko, O. L.
    Fedkina, Yu. A.
    Morozova, E. A.
    Piradov, M. A.
    Suponeva, N. A.
    Yuschuk, N. D.
    Govorun, V. M.
    RUSSIAN JOURNAL OF BIOORGANIC CHEMISTRY, 2011, 37 (01) : 30 - 38