In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning

GUO Xiang ZHONG Cai Gao ZHANG Yan Fang LIU Fen HE Jian LIN Hui GUO Mei Qiong

GUO Xiang, ZHONG Cai Gao, ZHANG Yan Fang, LIU Fen, HE Jian, LIN Hui, GUO Mei Qiong. In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning[J]. Biomedical and Environmental Sciences, 2018, 31(12): 922-926. doi: 10.3967/bes2018.126
Citation: GUO Xiang, ZHONG Cai Gao, ZHANG Yan Fang, LIU Fen, HE Jian, LIN Hui, GUO Mei Qiong. In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning[J]. Biomedical and Environmental Sciences, 2018, 31(12): 922-926. doi: 10.3967/bes2018.126

doi: 10.3967/bes2018.126
基金项目: 

the Research Project of Health and Family Planning Commission of Shenzhen Municipality SZFZ2017026

Research Project of Shenzhen Commission on Innovation and Technology JCYJ20170307145400143

In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning

Funds: 

the Research Project of Health and Family Planning Commission of Shenzhen Municipality SZFZ2017026

Research Project of Shenzhen Commission on Innovation and Technology JCYJ20170307145400143

More Information
    Author Bio:

    GUO Xiang, male, born in 1982, majoring in toxicology

    Corresponding author: ZHONG Cai Gao, E-mail:zcg54@csu.edu.cn
  • Figure  1.  Picture of in vitro model for HP.

    Supplementary Figure S1.  Change of hemocyte morphology in incubation test (Wright-Giemsa Stain, 10×100). (A and a) Before incubation; (B and b) After 2 h incubation in control group; (C and c) After 2 h incubation in active charcoal group; (D and d) After 2 h incubation in adsorption resin group.

    Supplementary Figure S2.  Bar chart of absorption rate of CPF in incubation test.

    Table  1.   ANOVA of Cytometry Parameters and Plasma Components Influenced by Adsorbent (x ± s, n = 16)

    Class Parameters Control Activated Charcoal Adsorption Resin F P
    Cytometry parameters RBC (×1012/L) 5.20 ± 0.73 5.12 ± 0.75 4.94 ± 0.72 0.524 0.596
    HGB (g/L) 148.25 ± 17.33 145.81 ± 17.71 140.69 ± 17.78 0.769 0.469
    HCT 0.42 ± 0.04 0.42 ± 0.04 0.41 ± 0.04 0.340 0.713
    MCV (fL) 82.34 ± 7.89 82.00 ± 7.81 84.09 ± 8.13 0.320 0.727
    MCH (pg) 28.78 ± 3.18 28.78 ± 3.26 28.73 ± 3.15 0.001 0.999
    MCHC (g/L) 349.19 ± 10.91 350.19 ± 11.51 341.44 ± 10.80 2.991 0.060
    RDW-CV (%) 13.25 ± 0.98 13.25 ± 1.00 13.31 ± 0.95 0.018 0.982
    RDW-SD (fL) 39.67 ± 2.30 39.53 ± 2.26 40.84 ± 2.35 1.554 0.222
    WBC (×109/L) 5.30 ± 1.53 5.12 ± 1.40 5.01 ± 1.42 0.168 0.846
    NEUT# (×109/L) 2.71 ± 0.98 2.53 ± 0.90 2.51 ± 0.90 0.233 0.793
    LYMPH# (×109/L) 2.24 ± 0.69 2.25 ± 0.67 2.17 ± 0.63 0.059 0.942
    MONO# (×109/L) 0.22 ± 0.10 0.21 ± 0.08 0.20 ± 0.09 0.216 0.806
    PLT (×109/L) 204.13 ± 49.72 182.19 ± 45.12 158.81 ± 46.97 3.671 0.033*
    MPV (fL) 10.24 ± 0.82 10.14 ± 0.81 10.08 ± 0.90 0.125 0.883
    PDW (fL) 12.24 ± 1.39 12.01 ± 1.40 11.84 ± 1.41 0.287 0.752
    PCT (%) 0.21 ± 0.06 0.18 ± 0.05 0.16 ± 0.05 2.887 0.068
    P-LCR (%) 26.62 ± 6.43 26.24 ± 6.16 25.69 ± 6.72 0.075 0.928
    Plasma components GLU (mmol/L) 2.92 ± 0.44 2.29 ± 0.58 3.05 ± 0.48 10.564 0.000*
    TP (g/L) 76.57 ± 5.41 73.86 ± 5.27 72.22 ± 5.31 2.717 0.077
    Alb (g/L) 45.25 ± 2.68 43.63 ± 2.63 42.18 ± 2.72 5.239 0.009*
    Glb (g/L) 31.32 ± 3.85 30.23 ± 3.85 30.03 ± 4.26 0.483 0.620
    CHOL (mmol/L) 4.74 ± 0.85 4.55 ± 0.84 4.71 ± 0.87 0.221 0.803
    TG (mmol/L) 1.46 ± 1.35 1.41 ± 1.34 1.47 ± 1.37 0.010 0.990
    HDL-C (mmol/L) 1.35 ± 0.26 1.32 ± 0.26 1.30 ± 0.27 0.134 0.875
    LDL-C (mmol/L) 2.53 ± 0.49 2.44 ± 0.49 2.48 ± 0.49 0.157 0.855
    K (mmol/L) 3.87 ± 0.35 3.67 ± 0.25 3.88 ± 0.33 2.287 0.113
    Na (mmol/L) 137.88 ± 5.02 138.50 ± 4.72 137.86 ± 5.54 0.081 0.922
    Ca (mmol/L) 2.13 ± 0.37 2.13 ± 0.34 2.14 ± 0.39 0.008 0.994
    Mg (mmol/L) 0.82 ± 0.13 0.81 ± 0.11 0.78 ± 0.12 0.601 0.553
    Cl (mmol/L) 104.05 ± 2.02 104.42 ± 2.52 102.61 ± 3.05 2.229 0.119
    TBIL (μmol/L) 12.28 ± 5.75 11.22 ± 5.05 11.31 ± 5.64 0.173 0.842
    DBIL (μmol/L) 2.11 ± 1.20 2.26 ± 1.06 2.09 ± 0.76 0.108 0.898
    IBIL (μmol/L) 10.17 ± 4.91 9.09 ± 3.89 9.18 ± 5.25 0.245 0.784
    UREA (mmol/L) 5.15 ± 1.41 4.46 ± 1.16 4.87 ± 1.28 1.187 0.315
    UA (μmol/L) 332.25 ± 74.74 255.31 ± 58.05 263.13 ± 55.14 7.175 0.002*
    CREA (μmol/L) 70.57 ± 12.88 53.64 ± 10.59 46.13 ± 6.32 23.673 0.000*
    ALT (U/L) 26.31 ± 16.32 25.25 ± 16.29 24.06 ± 15.15 0.080 0.923
    AST (U/L) 26.94 ± 7.89 26.44 ± 7.69 26.38 ± 8.45 0.024 0.977
    GGT (U/L) 23.44 ± 11.36 22.81 ± 11.06 22.56 ± 10.74 0.027 0.974
    ALP (U/L) 67.81 ± 17.27 65.94 ± 17.36 64.25 ± 16.24 0.177 0.839
    ChE (U/L) 8321.88 ± 1660.90 7951.88 ± 1720.70 7963.75 ± 1828.21 0.234 0.792
    CK (U/L) 89.06 ± 33.00 85.88 ± 33.61 81.06 ± 32.07 0.240 0.788
    LDH (U/L) 245.38 ± 72.33 243.81 ± 44.80 251.56 ± 64.98 0.070 0.932
    HBDH (U/L) 145.75 ± 47.88 147.44 ± 19.29 160.75 ± 38.41 0.783 0.463
    TSH (mIU/L) 1.70 ± 0.95 1.65 ± 0.90 1.44 ± 0.81 0.380 0.686
    T4 (nmol/L) 92.93 ± 10.67 91.78 ± 11.62 83.96 ± 10.76 3.134 0.053
    T3 (nmol/L) 1.60 ± 0.24 1.60 ± 0.19 1.31 ± 0.15 11.161 0.000*
    FT4 (pmol/L) 18.82 ± 2.56 18.31 ± 2.63 17.29 ± 2.07 1.630 0.207
    FT3 (pmol/L) 5.01 ± 0.62 5.01 ± 0.55 4.24 ± 0.49 10.256 0.000*
    Note. *Statistically significant. RBC: red blood cell; HGB: hemoglobin; HCT: hematocrit; MCV: mean corpuscular volume; MCH: mean corpuscular hemoglobin; MCHC: mean corpuscular hemoglobin concentration; RDW-CV: blood cell distribution width-CV; RDW-SD: blood cell distribution width-SD; WBC: write blood cell; NEUT#: neutrophil count; LYMPH#: lymphocyte count; MONO#: monocyte count; PLT: platelet; MPV: mean platelet volume; PDW: platelet distribution width; PCT: platelet crit; P-LCR: platelet-large cell rate. GLU: glucose; TP: total protein; Alb: albumin; Glb: globulin; CHOL: cholesterol; TG: triglyceride; HDL-C: high-density lipoproteincholesterol; LDL-C: low-density lipoproteincholesterol; TBIL: total bilirubin; DBIL: direct bilirubin; IBIL: indirect bilirubin; UA: uric acid; CREA: creatinine; ALT: alanine aminotransferase; AST: alanine aminotransferase; GGT: gamma-glutamyl transpeptidase; ALP: alkaline phosphatase; ChE: cholinesterase; CK: creatine kinase; LDH: lactate dehydrogenase; HBDH: hydroxybutyrate dehydrogenase; TSH: thyroid stimulating hormone; T4: thyroid hormones; T3: triiodothyronine; FT4: free thyroid hormones; FT3: free triiodothyronine.
    下载: 导出CSV

    Supplementary Table S1.   Results of Orthogonal Test

    No. C V H T Absorption Rate (%)
    1 2 3 Mean
    1 2 3 3 6 84.34 83.98 82.58 83.63
    2 2 3 2 2 10.01 20.69 9.42 13.37
    3 1 3 2 3 76.46 77.89 82.78 79.04
    4 1 3 3 4 71.94 71.95 70.69 71.53
    5 3 1 3 7 78.55 78.79 77.58 78.31
    6 1 2 2 7 92.34 93.28 97.80 94.47
    7 3 2 2 1 0.00 0.00 0.00 0.00
    8 3 3 1 2 24.17 11.66 7.84 14.56
    9 1 1 1 1 0.00 0.00 0.00 0.00
    10 3 3 3 5 75.55 74.40 70.67 73.54
    11 3 1 1 2 22.17 13.64 9.84 15.22
    12 3 2 3 3 60.54 56.03 56.84 57.80
    13 2 2 1 5 14.14 14.74 9.48 12.79
    14 2 1 3 1 0.00 0.00 0.00 0.00
    15 1 2 3 2 43.50 44.70 46.60 44.93
    16 3 2 1 4 13.13 16.21 12.26 13.87
    17 1 2 1 6 11.09 8.76 7.32 9.06
    18 1 3 1 1 0.00 0.00 0.00 0.00
    19 2 1 2 4 83.20 82.38 82.99 82.86
    20 2 2 2 2 32.81 37.50 31.66 33.99
    21 2 2 3 1 0.00 0.00 0.00 0.00
    22 2 3 1 7 4.65 11.63 16.80 11.03
    23 1 1 3 2 43.50 44.70 47.60 45.27
    24 2 1 1 3 19.97 15.91 9.11 15.00
    25 3 3 2 1 0.00 0.00 0.00 0.00
    26 1 1 2 5 85.72 86.51 85.45 85.89
    27 3 1 2 6 74.73 76.27 80.61 77.20
    $ \overline {{K_1}} $ 47.80 44.42 10.17 0.00
    $ \overline {{K_2}} $ 31.66 29.66 51.87 27.89
    $ \overline {{K_3}} $ 28.07 38.52 50.56 50.61
    $ \overline {{K_4}} $ 56.08
    $ \overline {{K_5}} $ 57.41
    $\overline {{K_6}} $ 56.63
    $ \overline {{K_7}} $ 61.27
    R 19.73 14.76 41.70 61.27
    Note.C: Blood CPF concentrate; V: Blood flow velocity; H: Adsorbent; T: Perfusion during time.
    下载: 导出CSV
  • [1] Davies JO, Eddleston M, Buckley NA. Predicting outcome in acute organophosphorus poisoning with a poison severity score or the Glasgow coma scale. QJM, 2008; 101, 371-9. doi:  10.1093/qjmed/hcn014
    [2] Yuan Y, Zhou J, Lang N, et al. Analysis on poison-spectrum of emergent poisoning incidences during 2004-2014. Chinese J Ind Med, 2016; 29, 182-6. (In Chinese) http://en.cnki.com.cn/Article_en/CJFDTotal-SOLE201603007.htm
    [3] Lee JC, Park CY, Choi SW, et al. Comparison of a pulsatile blood pump and a peristaltic roller pump during hemoperfusion treatment in a canine model of paraquat poisoning. Artif Organs, 2008; 32, 541-6. doi:  10.1111/aor.2008.32.issue-7
    [4] Zhi S, Wu D, Li L, et al. Hemoperfusion alleviated paraquat-induced kidney inflammation injury of rabbit. Chinese Journal of Industrial Hygiene and Occupational Diseasis, 2015; 33, 658-62. (In Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zhldwszyb201509004
    [5] Guo X, Xie YX, Liu F, et al. Determination of chlorpyrifos and its metabolite in plasma by GC. Occupational Health and Emergency Rescue, 2016; 34, 278-81. (In Chinese) http://d.old.wanfangdata.com.cn/Periodical/zywsyyjjy201604004
    [6] Muirhead EE, Reid AF. A resin artificial kidney. J Lab Clin Med, 1948; 33, 841-4. http://europepmc.org/abstract/MED/18869571
    [7] Altintop L, Aygun D, Sahin H, et al. In acute organophosphate poisoning, the efficacy of hemoperfusion on clinical status and mortality. J Intensive Care Med, 2005; 20, 346-50. http://www.ncbi.nlm.nih.gov/pubmed/16280408/
    [8] Martinez-Chuecos J, Del CJM, Paz GM, et al. Experience with hemoperfusion for organophosphate poisoning. Crit Care Med, 1992; 20, 1538-43. doi:  10.1097/00003246-199211000-00010
    [9] Liang MJ, Zhang Y. Clinical analysis of penehyclidine hydrochloride combined with hemoperfusion in the treatment of acute severe organophosphorus pesticide poisoning. Genet Mol Res, 2015; 14, 4914-9. doi:  10.4238/2015.May.11.24
  • [1] XIAO Bin, ZHANG You Miao, ZHOU Jing, XU Cheng Dong, HU Wei, WEN Wei, CHEN Jia Bin, SUN Cheng Ye.  Spatiotemporal Distribution and Epidemiological Characteristics of Hospital Admissions for Carbon Monoxide Poisoning in Guangdong, China, 2013–2020 . Biomedical and Environmental Sciences, 2022, 35(10): 943-953. doi: 10.3967/bes2022.053
    [2] CHEN Lin, ZHAO Qiu Ni, QIAN Xiu Rong, ZHU Bao Li, DING En Min, WANG Bo Shen, ZHANG Heng Dong, YANG Hong.  Association between the HOTAIR Polymorphism and Susceptibility to Lead Poisoning in a Chinese Population . Biomedical and Environmental Sciences, 2018, 31(6): 473-478. doi: 10.3967/bes2018.063
    [3] CUI Liang Liang, ZHOU Jing Wen, GENG Xing Yi, LI Xin Wei, LIU Zhong, George A. Conway, ZHANG Ji.  Occupational Carbon Monoxide Poisoning Associated with Diesel Motor Operation in an Air-raid Shelter in June 2015, Jinan City, China—An Epidemiological Investigation . Biomedical and Environmental Sciences, 2017, 30(10): 777-781. doi: 10.3967/bes2017.105
    [4] WANG Bo Shen, CHEN Lin, LI Xiu Ting, XU Ming, ZHU Bao Li, ZHANG Juan.  Acute Pesticide Poisoning in Jiangsu Province, China, from 2006 to 2015 . Biomedical and Environmental Sciences, 2017, 30(9): 695-700. doi: 10.3967/bes2017.094
    [5] JIANG Jiu Kun, FANG Wen, GU Lin Hui, LU Yuan Qiang.  Early Changes of Peripheral Blood Lymphocyte Subpopulations in Patients with Occupational 2,4-dinitrophenol Poisoning . Biomedical and Environmental Sciences, 2016, 29(12): 909-914. doi: 10.3967/bes2016.122
    [6] GUAN Li, LI Zong Yang, ZHANG Yan Lin, CONG Cui Cui, ZHAO Jin Yuan.  Early Biomarkers in 1H Nuclear Magnetic Resonance Spectroscopy of Striatal Pathological Mechanisms after Acute Carbon Monoxide Poisoning in Rats . Biomedical and Environmental Sciences, 2015, 28(10): 728-737. doi: 10.3967/bes2015.103
    [7] LIN Yong Xin, DING Zhi Yong, ZHOU Xiao Bin, LI Si Tao, XIE De Ming, LI Zhi Zhong, SUN Guo Dong.  In vitro and In vivo Evaluation of the Developed PLGA/HAp/Zein Scaffolds for Bone-Cartilage Interface Regeneration . Biomedical and Environmental Sciences, 2015, 28(1): 1-12. doi: 10.3967/bes2015.001
    [8] Naila Arooj, Nadia Dar, Zahoor Qadir Samra.  Stable Silver Nanoparticles Synthesis byCitrus Sinensis (Orange) and Assessing Activity Against Food Poisoning Microbes . Biomedical and Environmental Sciences, 2014, 27(10): 815-818. doi: 10.3967/bes2014.118
    [9] LIU Cong Shan, ZHANG Hao Bing, YIN Jian Hai, JIANG Bin, HAN Xiu Min.  Echinococcus Granulosus:Suitable in vitro Protoscolices Culture Density . Biomedical and Environmental Sciences, 2013, 26(11): 912-915. doi: 10.3967/bes2013.020
    [10] ZHENG Xiao Ying, CHEN Chun Ming, HUANG Cheng Li, Han You Li, QIU Yue, ZHANG Qian Deng, CHEN He.  An Evaluation of the Investment for Child Development in China . Biomedical and Environmental Sciences, 2012, 25(4): 413-420. doi: 10.3967/0895-3988.2012.04.006
    [11] CHEN Bo, LIU Ying, SONG Wei Ming, HAYASHI Yasuhiko, DING Xun Cheng, LI Wei Hua.  In Vitro Evaluation of Cytotoxicity and Oxidative Stress Induced by Multiwalled Carbon Nanotubes in Murine RAW 264.7 Macrophages and Human A549 Lung Cells . Biomedical and Environmental Sciences, 2011, 24(6): 593-601. doi: 10.3967/0895-3988.2011.06.002
    [12] ZHANG XiaoPeng, XIANG Qian, CUI WenMing, JIA XuDong, LI Ning.  Evaluation of the in vitro and in vivo Genotoxicity of Almond Skins . Biomedical and Environmental Sciences, 2011, 24(4): 415-421. doi: 10.3967/0895-3988.2011.04.013
    [13] XING ZHANG, HAI-SHAN LI, QIU-HONG ZHU, JING ZHOU, SHUANG ZHAN, LIN ZHANG, CHENG-YE SUN.  Trends in Suicide by Poisoning in China 2000-2006: Age, Gender,Method, and Geography . Biomedical and Environmental Sciences, 2008, 21(3): 253-256.
    [14] CHUN-KWAN WONG, PATRICIA HUNG, KELLIE L.H.LEE, TINA MOK, THOMAS CHUNG, KAI-MAN KAM.  Features of Ciguatera Fish Poisoning Cases in Hong Kong 2004-2007 . Biomedical and Environmental Sciences, 2008, 21(6): 521-527.
    [15] DIPANWITA DUTTADEB, PREETI KAPOOR, R.P.DIGHE, R.PADMAJA, M.S.ANAND, P.D'SOUZA, M.DEEPAK, B.MURALI, AAMIT AGARWAL.  In vitro Safety Evaluation and Anticlastogenic Effect of BacoMindTM on Human Lymphocytes . Biomedical and Environmental Sciences, 2008, 21(1): 7-23.
    [16] YAN-QUN LIU, YI-KAI ZHOU.  In vitro Cytotoxicity of TCDD on SPC-A1 Cells . Biomedical and Environmental Sciences, 2006, 19(1): 21-26.
    [17] JIAN-YUN FU, Yong Xia, YUN-YAN ZHENG.  Antimutagenicity of Propolis Against Some Mutagens in vivo and in vitro . Biomedical and Environmental Sciences, 2004, 17(4): 469-475.
    [18] JUN-FU ZHOU, WEN ZHOU, SHU-MEI ZHANG, YAN-ER LUO, Huai-Hong Chen.  Oxidative Stress and Free Radical Damage in Patients With Acute Dipterex Poisoning . Biomedical and Environmental Sciences, 2004, 17(2): 223-233.
    [19] YAO HONG-YAN, WANG ZENG-ZHEN, JIANG DONG-LIN, SUN jia-fu, NIU ZHONG-XIAN.  Evaluation of the Effect of Interventions for the Female Drug Abusers . Biomedical and Environmental Sciences, 2002, 15(4): 341-346.
    [20] ZHOU JUN-FU, XU GEN-BO, FANG WEI-JUN.  Relationship between Acute Organophosphorus Pesticide Poisoning and Damages Induced by Free Radicals . Biomedical and Environmental Sciences, 2002, 15(2): 177-186.
  • 加载中
图(3) / 表ll (2)
计量
  • 文章访问数:  1630
  • HTML全文浏览量:  351
  • PDF下载量:  49
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-03-22
  • 录用日期:  2018-11-22
  • 刊出日期:  2018-12-20

In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning

doi: 10.3967/bes2018.126
    基金项目:

    the Research Project of Health and Family Planning Commission of Shenzhen Municipality SZFZ2017026

    Research Project of Shenzhen Commission on Innovation and Technology JCYJ20170307145400143

    作者简介:

    GUO Xiang, male, born in 1982, majoring in toxicology

    通讯作者: ZHONG Cai Gao, E-mail:zcg54@csu.edu.cn

English Abstract

GUO Xiang, ZHONG Cai Gao, ZHANG Yan Fang, LIU Fen, HE Jian, LIN Hui, GUO Mei Qiong. In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning[J]. Biomedical and Environmental Sciences, 2018, 31(12): 922-926. doi: 10.3967/bes2018.126
Citation: GUO Xiang, ZHONG Cai Gao, ZHANG Yan Fang, LIU Fen, HE Jian, LIN Hui, GUO Mei Qiong. In Vitro Evaluation of Hemoperfusion for Chlorpyrifos Poisoning[J]. Biomedical and Environmental Sciences, 2018, 31(12): 922-926. doi: 10.3967/bes2018.126
  • The mortality attributed to organophosphorus (OP) pesticide self-poisoning is an estimated 200, 000 people a year, largely in the Asia-Pacific region[1]. According to the National Management Information System of Public Health Emergencies of China, the total number of OP poisoning incidences reported in China from 2004 to 2014 resulted in 1, 930 people poisoned, with a fatality rate of 6.32%[2]. There were many more OP pesticide poisoning case reports than public health emergencies reported by the system.

    Highly toxic OP pesticides were banned from production, sale, and use by the Chinese government since 2008, due to the high toxicity and mortality rate. Chlorpyifos (CPF) was the first recommended alternative OP, its production and use is becoming more common; as a result, poisoning has also increased.

    Recently, hemoperfusion (HP) has been used to treat OP poisonings. Activated charcoal and adsorption resin are the two most widely used adsorbents in HP for poisonings. Previous studies used canines[3] or rabbits[4] as the experimental animal model by encheiresis under general anesthesia. However, the procedure is costly and has a low success rate, therefore, it is difficult to justify this type of HP experiment. In this study, we establish a convenient, stable, and economical in vitro model for HP, as well as evaluate the safety and effectiveness of absorbents.

    The blood compatibility and nonspecific adsorption of the adsorbent (activated charcoal and adsorption resin) were evaluated by a batch test. Before the test, the adsorbent was equilibrated with a priming solution, which consisted of physiological saline mixed with 2 IU/mL of sodium heparin. We enlisted 16 healthy volunteers (male 9, female 7, age: 23-52) for the batch test. Prior to the experiments, 15 mL of whole blood was taken from each volunteer and anticoagulated with 0.5 IU/mL of sodium heparin and equally and randomly divided into three groups. In the activated charcoal group, 5 mL of whole blood was mixed with 0.5 mL of the activated charcoal adsorbent (YTS-180, Langfang Aier Blood Purification Equipment Factory, Langfang, China) in a polypropylene tube; in the adsorption resin group, 5 mL of whole blood was mixed with 0.5 mL of the adsorption resin adsorbent (HA, Jafron Biomedical Co., Ltd Zhuhai, China) in a polypropylene tube; in the control group, 5 mL of whole blood was drawn and was not mixed with any adsorbent. The polypropylene tubes were incubated at 37 ℃ for 2 h with inversion 30 times/min.

    After incubation, the supernatant blood was separated from the adsorbent. Cytometry parameters and the components in the plasma (Table 1) were measured. From the parameters in the blood after incubation with the adsorbent (Ctest) and those in the plasma of the control group (Cctrl), the recovery rate of each component was calculated according to Equation 1.

    $$ {\rm{Recovery}}\;{\rm{rate}}\left( {{\rm{ }}\% {\rm{ }}} \right){\rm{ = (}}{{\rm{C}}_{{\rm{test}}}}{\rm{/}}{{\rm{C}}_{{\rm{ctrl}}}}{\rm{)}} \times {\rm{100}} $$ (1)

    Table 1.  ANOVA of Cytometry Parameters and Plasma Components Influenced by Adsorbent (x ± s, n = 16)

    Class Parameters Control Activated Charcoal Adsorption Resin F P
    Cytometry parameters RBC (×1012/L) 5.20 ± 0.73 5.12 ± 0.75 4.94 ± 0.72 0.524 0.596
    HGB (g/L) 148.25 ± 17.33 145.81 ± 17.71 140.69 ± 17.78 0.769 0.469
    HCT 0.42 ± 0.04 0.42 ± 0.04 0.41 ± 0.04 0.340 0.713
    MCV (fL) 82.34 ± 7.89 82.00 ± 7.81 84.09 ± 8.13 0.320 0.727
    MCH (pg) 28.78 ± 3.18 28.78 ± 3.26 28.73 ± 3.15 0.001 0.999
    MCHC (g/L) 349.19 ± 10.91 350.19 ± 11.51 341.44 ± 10.80 2.991 0.060
    RDW-CV (%) 13.25 ± 0.98 13.25 ± 1.00 13.31 ± 0.95 0.018 0.982
    RDW-SD (fL) 39.67 ± 2.30 39.53 ± 2.26 40.84 ± 2.35 1.554 0.222
    WBC (×109/L) 5.30 ± 1.53 5.12 ± 1.40 5.01 ± 1.42 0.168 0.846
    NEUT# (×109/L) 2.71 ± 0.98 2.53 ± 0.90 2.51 ± 0.90 0.233 0.793
    LYMPH# (×109/L) 2.24 ± 0.69 2.25 ± 0.67 2.17 ± 0.63 0.059 0.942
    MONO# (×109/L) 0.22 ± 0.10 0.21 ± 0.08 0.20 ± 0.09 0.216 0.806
    PLT (×109/L) 204.13 ± 49.72 182.19 ± 45.12 158.81 ± 46.97 3.671 0.033*
    MPV (fL) 10.24 ± 0.82 10.14 ± 0.81 10.08 ± 0.90 0.125 0.883
    PDW (fL) 12.24 ± 1.39 12.01 ± 1.40 11.84 ± 1.41 0.287 0.752
    PCT (%) 0.21 ± 0.06 0.18 ± 0.05 0.16 ± 0.05 2.887 0.068
    P-LCR (%) 26.62 ± 6.43 26.24 ± 6.16 25.69 ± 6.72 0.075 0.928
    Plasma components GLU (mmol/L) 2.92 ± 0.44 2.29 ± 0.58 3.05 ± 0.48 10.564 0.000*
    TP (g/L) 76.57 ± 5.41 73.86 ± 5.27 72.22 ± 5.31 2.717 0.077
    Alb (g/L) 45.25 ± 2.68 43.63 ± 2.63 42.18 ± 2.72 5.239 0.009*
    Glb (g/L) 31.32 ± 3.85 30.23 ± 3.85 30.03 ± 4.26 0.483 0.620
    CHOL (mmol/L) 4.74 ± 0.85 4.55 ± 0.84 4.71 ± 0.87 0.221 0.803
    TG (mmol/L) 1.46 ± 1.35 1.41 ± 1.34 1.47 ± 1.37 0.010 0.990
    HDL-C (mmol/L) 1.35 ± 0.26 1.32 ± 0.26 1.30 ± 0.27 0.134 0.875
    LDL-C (mmol/L) 2.53 ± 0.49 2.44 ± 0.49 2.48 ± 0.49 0.157 0.855
    K (mmol/L) 3.87 ± 0.35 3.67 ± 0.25 3.88 ± 0.33 2.287 0.113
    Na (mmol/L) 137.88 ± 5.02 138.50 ± 4.72 137.86 ± 5.54 0.081 0.922
    Ca (mmol/L) 2.13 ± 0.37 2.13 ± 0.34 2.14 ± 0.39 0.008 0.994
    Mg (mmol/L) 0.82 ± 0.13 0.81 ± 0.11 0.78 ± 0.12 0.601 0.553
    Cl (mmol/L) 104.05 ± 2.02 104.42 ± 2.52 102.61 ± 3.05 2.229 0.119
    TBIL (μmol/L) 12.28 ± 5.75 11.22 ± 5.05 11.31 ± 5.64 0.173 0.842
    DBIL (μmol/L) 2.11 ± 1.20 2.26 ± 1.06 2.09 ± 0.76 0.108 0.898
    IBIL (μmol/L) 10.17 ± 4.91 9.09 ± 3.89 9.18 ± 5.25 0.245 0.784
    UREA (mmol/L) 5.15 ± 1.41 4.46 ± 1.16 4.87 ± 1.28 1.187 0.315
    UA (μmol/L) 332.25 ± 74.74 255.31 ± 58.05 263.13 ± 55.14 7.175 0.002*
    CREA (μmol/L) 70.57 ± 12.88 53.64 ± 10.59 46.13 ± 6.32 23.673 0.000*
    ALT (U/L) 26.31 ± 16.32 25.25 ± 16.29 24.06 ± 15.15 0.080 0.923
    AST (U/L) 26.94 ± 7.89 26.44 ± 7.69 26.38 ± 8.45 0.024 0.977
    GGT (U/L) 23.44 ± 11.36 22.81 ± 11.06 22.56 ± 10.74 0.027 0.974
    ALP (U/L) 67.81 ± 17.27 65.94 ± 17.36 64.25 ± 16.24 0.177 0.839
    ChE (U/L) 8321.88 ± 1660.90 7951.88 ± 1720.70 7963.75 ± 1828.21 0.234 0.792
    CK (U/L) 89.06 ± 33.00 85.88 ± 33.61 81.06 ± 32.07 0.240 0.788
    LDH (U/L) 245.38 ± 72.33 243.81 ± 44.80 251.56 ± 64.98 0.070 0.932
    HBDH (U/L) 145.75 ± 47.88 147.44 ± 19.29 160.75 ± 38.41 0.783 0.463
    TSH (mIU/L) 1.70 ± 0.95 1.65 ± 0.90 1.44 ± 0.81 0.380 0.686
    T4 (nmol/L) 92.93 ± 10.67 91.78 ± 11.62 83.96 ± 10.76 3.134 0.053
    T3 (nmol/L) 1.60 ± 0.24 1.60 ± 0.19 1.31 ± 0.15 11.161 0.000*
    FT4 (pmol/L) 18.82 ± 2.56 18.31 ± 2.63 17.29 ± 2.07 1.630 0.207
    FT3 (pmol/L) 5.01 ± 0.62 5.01 ± 0.55 4.24 ± 0.49 10.256 0.000*
    Note. *Statistically significant. RBC: red blood cell; HGB: hemoglobin; HCT: hematocrit; MCV: mean corpuscular volume; MCH: mean corpuscular hemoglobin; MCHC: mean corpuscular hemoglobin concentration; RDW-CV: blood cell distribution width-CV; RDW-SD: blood cell distribution width-SD; WBC: write blood cell; NEUT#: neutrophil count; LYMPH#: lymphocyte count; MONO#: monocyte count; PLT: platelet; MPV: mean platelet volume; PDW: platelet distribution width; PCT: platelet crit; P-LCR: platelet-large cell rate. GLU: glucose; TP: total protein; Alb: albumin; Glb: globulin; CHOL: cholesterol; TG: triglyceride; HDL-C: high-density lipoproteincholesterol; LDL-C: low-density lipoproteincholesterol; TBIL: total bilirubin; DBIL: direct bilirubin; IBIL: indirect bilirubin; UA: uric acid; CREA: creatinine; ALT: alanine aminotransferase; AST: alanine aminotransferase; GGT: gamma-glutamyl transpeptidase; ALP: alkaline phosphatase; ChE: cholinesterase; CK: creatine kinase; LDH: lactate dehydrogenase; HBDH: hydroxybutyrate dehydrogenase; TSH: thyroid stimulating hormone; T4: thyroid hormones; T3: triiodothyronine; FT4: free thyroid hormones; FT3: free triiodothyronine.

    In addition, a blood smear image was examined with a microscopic imaging system before and 2 h after the incubation test for the three groups.

    An additional 15 mL of whole blood was taken from the same 16 healthy volunteers, 150 μg CPF was dissolved in DMSO and mixed with the whole blood so that the final blood CPF concentration was 10 mg/L. Then, 15 mL of whole blood was grouped and incubated according to the nonspecific adsorption experiment mentioned before.

    After incubation, the supernatant blood was separated from the adsorbent. The blood concentration of CPF was measured by gas chromatography (GC). From the parameters in the blood after incubation with the adsorbent (Ctest) and those in the plasma of the control group (Cctrl), the absorption rate of each component was calculated according to Equation 2.

    $$ {\rm{Absorption}}\;{\rm{rate}}\left( {{\rm{ }}\% {\rm{ }}} \right){\rm{ = (}}{{\rm{C}}_{{\rm{ctrl}}}}{\rm{ - }}{{\rm{C}}_{{\rm{test}}}}{\rm{)/}}{{\rm{C}}_{{\rm{ctrl}}}}{\rm{ }} \times {\rm{ 100}} $$ (2)

    The experimental apparatus was set up as shown in Figure 1. Four acrylic resin columns were packed with 20 mL adsorbents. The whole blood used in the following tests was taken from healthy cattle and anticoagulated with 0.5 IU/mL of sodium heparin. A dose of CPF was dissolved in DMSO and mixed with the whole blood. The whole blood contained with CPF was pooled (100 mL) in a thermoregulated (37 ℃) reservoir and then infused into the adsorbent column by roller pump. The effluent was returned to the blood pool (circulated). Samples for the CPF concentrate analyses were taken from the blood pool before perfusion and every 20 min during the perfusion time, and then measured by GC. From the concentrate of CPF in the plasma before perfusion (C0) and that in the plasma at different times during the perfusion time (Cx), the absorption rate of each component was calculated according to Equation 3:

    $$ {\rm{Absorption\ rate}}\left( {\rm{\% }} \right){\rm{ = (}}{{\rm{C}}_{\rm{0}}}{\rm{ - }}{{\rm{C}}_{\rm{x}}}{\rm{)/}}{{\rm{C}}_{\rm{0}}}{\rm{ \times 100}} $$ (3)

    Figure 1.  Picture of in vitro model for HP.

    All in vitro tests were repeated three times.Taking the blood CPF concentrate (1 mg/L, 10 mg/L, and 100 mg/L), blood flow velocity (2 mL/min, 5 mL/min, and 10 mL/min), adsorbent (no adsorbent, activated charcoal, and adsorption resin), and perfusion time (0 min, 20 min, 40 min, 60 min, 80 min, 100 min, and 120 min) as indices, the absorption rate of CPF was screened by an L27 (71 × 33) orthogonal design.

    Blood cell counts were measured using a blood cell counter (XE-5000, Sysmex Corporation, Kobe, Japan). Other plasma components were measured with an automatic biochemistry analyzer (DXC800, Beckman Coulter Inc, USA). Measurement of blood concentration of CPF was according to the methods of reference by GC-ECD[5].

    The data analysis was performed with SPSS Ver. 16.0 software for Windows (SPSS Inc., Chicago, USA). Parameters among multiple groups were compared with one-way analysis of variance (ANOVA).

    The platelet (PLT) count among the three groups was statistically significant (Table 1). Other types of cells incubated with the adsorbent were smoothly, and there was no statistical significance among the three groups. Supplmentary Figure S1 (available in www.besjournal.com) show that there was no distinct change in hemocyte morphology in the incubation test among the three groups.

    Figure Supplementary Figure S1.  Change of hemocyte morphology in incubation test (Wright-Giemsa Stain, 10×100). (A and a) Before incubation; (B and b) After 2 h incubation in control group; (C and c) After 2 h incubation in active charcoal group; (D and d) After 2 h incubation in adsorption resin group.

    The glucose (GLU), albumin (Alb), uric acid (UA), creatinine (CREA), triiodothyronine (T3), free triiodothyronine (FT3) among the three groups were statistically significant. There was no statistically significant difference among the three groups for the other plasma components (Table 1).

    CPF concentrations among the three groups were statistically significant (F = 798.110, P = 0.000). Supplmentary Figure S2 (available in www.besjournal.com) shows the absorption rate of CPF among the three groups during the batch test.

    Figure Supplementary Figure S2.  Bar chart of absorption rate of CPF in incubation test.

    The orthogonal test results for the absorption rate of CPF are shown in Supplmentary Table S1 (available in www.besjournal.com). All the factors including perfusion time (F = 378.477, P = 0.000), adsorbent (F = 860.742, P = 0.000), blood CPF concentrate (F = 134.321, P = 0.000), and blood flow velocity (F = 89.044, P = 0.000) significantly influenced the absorption rate of CPF. The order of factors affecting the absorption rate was perfusion time > adsorbent > blood CPF concentrate > blood flow velocity. Orthogonal experiments also indicated the optimal prescription as follows: C1V1H2T7.

    Table Supplementary Table S1.  Results of Orthogonal Test

    No. C V H T Absorption Rate (%)
    1 2 3 Mean
    1 2 3 3 6 84.34 83.98 82.58 83.63
    2 2 3 2 2 10.01 20.69 9.42 13.37
    3 1 3 2 3 76.46 77.89 82.78 79.04
    4 1 3 3 4 71.94 71.95 70.69 71.53
    5 3 1 3 7 78.55 78.79 77.58 78.31
    6 1 2 2 7 92.34 93.28 97.80 94.47
    7 3 2 2 1 0.00 0.00 0.00 0.00
    8 3 3 1 2 24.17 11.66 7.84 14.56
    9 1 1 1 1 0.00 0.00 0.00 0.00
    10 3 3 3 5 75.55 74.40 70.67 73.54
    11 3 1 1 2 22.17 13.64 9.84 15.22
    12 3 2 3 3 60.54 56.03 56.84 57.80
    13 2 2 1 5 14.14 14.74 9.48 12.79
    14 2 1 3 1 0.00 0.00 0.00 0.00
    15 1 2 3 2 43.50 44.70 46.60 44.93
    16 3 2 1 4 13.13 16.21 12.26 13.87
    17 1 2 1 6 11.09 8.76 7.32 9.06
    18 1 3 1 1 0.00 0.00 0.00 0.00
    19 2 1 2 4 83.20 82.38 82.99 82.86
    20 2 2 2 2 32.81 37.50 31.66 33.99
    21 2 2 3 1 0.00 0.00 0.00 0.00
    22 2 3 1 7 4.65 11.63 16.80 11.03
    23 1 1 3 2 43.50 44.70 47.60 45.27
    24 2 1 1 3 19.97 15.91 9.11 15.00
    25 3 3 2 1 0.00 0.00 0.00 0.00
    26 1 1 2 5 85.72 86.51 85.45 85.89
    27 3 1 2 6 74.73 76.27 80.61 77.20
    $ \overline {{K_1}} $ 47.80 44.42 10.17 0.00
    $ \overline {{K_2}} $ 31.66 29.66 51.87 27.89
    $ \overline {{K_3}} $ 28.07 38.52 50.56 50.61
    $ \overline {{K_4}} $ 56.08
    $ \overline {{K_5}} $ 57.41
    $\overline {{K_6}} $ 56.63
    $ \overline {{K_7}} $ 61.27
    R 19.73 14.76 41.70 61.27
    Note.C: Blood CPF concentrate; V: Blood flow velocity; H: Adsorbent; T: Perfusion during time.

    Hemoperfusion is an adsorption therapy widely applied to clinical practice. In 1948, Muirhead was the first to use a resin adsorbent, and began experimenting on dogs to perform blood perfusion[6]. HP experiments are also performed on rabbits through catheterization[4]. The animal experiment not only complex but also against animal ethics rules and the principles of '3R'. The study and practice of alternative methods (the in vitro test) are important to balance the conflict between animal protection and animal experimentation. In the current study, we used whole blood from volunteers and cattle instead of living animals for evaluation of activated charcoal and adsorption resin used in whole blood HP for CPF poisoning.

    Common HP adsorbents include activated carbon and adsorption resin. The surface of activated charcoal absorbents is coated with an envelope, and the adsorption resin itself has good mechanical strength and chemical stability. In this in vitro experimental study, although the platelet count of the adsorption resin group after the incubation test decreased more than 10%, there was no statistical significance for the other cytometry parameters between the experimental groups and the control group. The blood smear image also shows that there was no distinct change in the hemocyte morphology among the three groups, indicating that both types of materials have good histocompatibility.

    The activated carbon and adsorption resin possess abundant middle and large holes, large specific surface area, and relatively specific adsorption of fat-soluble middle molecular and macromolecular toxins, as well as protein-bound drugs. Therefore, it has no obvious effect on electrolyte ions with small particle size. The current study found that there were no changes in the ions Na+, K+, Cl-, Mg2+, and Ca2+ after a 2 h incubation with the absorbents. Both absorbents engage in non-specific physical absorption, and not only effectively reduced the concentration of CPF, but additionally, endogenous metabolites such as CREA and UA and thyroid hormones such as T3 and FT3 were eliminated. In addition, in a batch test, the adsorbent did clear plasma proteins, particularly plasma albumins with small molecular weight (approx. 66 kD). Compared with the control group, the plasma albumin level decreased after 2 hours of incubation. HP has less effect on globulins with large molecular weights (approx. 150 kD), which may be explained by the specific bore diameter of the absorbents. They did not affect the concentration of major blood components such as enzymes, bilirubin, electrolytes, and lipoproteins. These results indicate that the adsorption characteristics of both adsorbents are almost the same as other adsorbents that can selectively adsorb external toxins without causing major changes to the concentration of useful components.

    It is generally believed that the slower the blood flow speed, the higher the adsorption rate and the shorter the time required reach adsorption equilibrium. This in vitro study showed that an infusion speed of 2 mL/min could effectively eliminate CPF, and a higher infusion speed (5 mL/min or 10 mL/min) will do little to improve the elimination rate. The same as the bath test, in vitro HP also indicated that absorbents could eliminate CPF; however, the difference in adsorbability of both absorbents was not obvious. Our study and other research indicate that in vitro HP apparatus has a high adsorption rate. For perfusion that is completed within 60 min, the adsorption rate increased even though the adsorption rate was stabilized, which may have occurred because the adsorbent is saturated within 60 min[9].

    Theoretically, to prove that HP therapy has an obvious curative effect on poison intoxication, one must decrease the concentration of toxins to a point that enables the changes in blood parameter levels and the decrease of toxicant concentration in the peripheral blood, target organs, and histiocytes to shorten the course of the disease for a full recovery. Previous research focused on whether HP could accelerate the recovery of cholinesterase activity and decrease the fatality rate of severe OP poisoned patients through animal experiments and clinical studies[9]. In the current study, we developed an in vitro bath test and HP test for evaluation of the effectiveness and safety of whole blood HP. These in vitro tests were more convenient and economical than animal experiments and clinical research. Nonetheless, it is obvious that it would not suffice if an in vitro test was performed instead of an in vivo test because it cannot modify the metabolism and physiological response of organisms.

    In conclusion, activated charcoal and adsorption resin for whole-blood HP were successful in adsorbing CPF directly from whole blood without causing undesirable changes in the concentration of major blood components. Furthermore, the adsorbents showed the appropriate characteristics in terms of good blood cell passage, sufficient structural strength, and absence of globulicidal behavior. The parameters for in vitro HP were confirmed by orthogonal test. The results will be used for further clinical research.

    The authors declare that no potential conflicts of interest exist.

参考文献 (9)

目录

    /

    返回文章
    返回