Skip to main content

Proteomic analysis of swine serum following highly virulent classical swine fever virus infection



Classical swine fever virus (CSFV) belongs to the genus Pestivirus within the family Flaviviridae. Virulent strains of classical swine fever virus (CSFV) cause severe disease in pigs characterized by immunosuppression, thrombocytopenia and disseminated intravascular coagulation, which causes significant economic losses to the pig industry worldwide.


To reveal proteomic changes in swine serum during the acute stage of lethal CSFV infection, 5 of 10 pigs were inoculated with the virulent CSFV Shimen strain, the remainder serving as uninfected controls. A serum sample was taken at 3 days post-infection from each swine, at a stage when there were no clinical symptoms other than increased rectal temperatures (≥40°C). The samples were treated to remove serum albumin and immunoglobulin (IgG), and then subjected to two-dimension differential gel electrophoresis.


Quantitative intensity analysis revealed 17 protein spots showing at least 1.5-fold quantitative alteration in expression. Ten spots were successfully identified by MALDI-TOF MS or LTQ MS. Expression of 4 proteins was increased and 6 decreased in CSFV-infected pigs. Functions of these proteins included blood coagulation, anti-inflammatory activity and angiogenesis.


These proteins with altered expression may have important implications in the pathogenesis of classical swine fever and provide a clue for identification of biomarkers for classical swine fever early diagnosis.


Classical swine fever virus (CSFV) is a enveloped, single stranded positive RNA virus of the genus Pestivirus within the family Flaviviridae [1]. CSFV is the causative agent of classical swine fever (CSF), a highly contagious swine disease and a notifiable disease of the World Organization for Animal Health (OIE).

CSF caused by virulent strains of CSFV is a hemorrhagic disease of pigs, characterized by disseminated intravascular coagulation, thrombocytopenia and immunosuppression. Diseased animals show hemorrhages in the skin, mucosa and internal organs [2, 3], and a general immunosuppression featuring a dramatic decrease of peripheral B- and T-cells early after infection of CSFV, due to bystander apoptosis in uninfected cells [4, 5].

Studies have shown that cytokines released from monocytes/macrophages activated by CSFV infection may play a critical role in the induction of immune cell apoptosis [68], and that proinflammatory and procoagulant cytokines of vascular endothelial cells induced by the virus may disrupt the hemostatic balance and lead to the coagulation and thrombosis seen in acute disease [9]. Proteomic analysis of PK-15 cells in vitro and peripheral blood monuclear cells (PBMC) in vivo following lethal CSFV infection revealed host cell responses to CSFV infection and changes in protein expression associated with CSFV pathogenesis [10, 11].

Apart from above factors that contribute to the pathogenesis and progression of CSF, little is known of changes in serum proteins and biomarker for diagnosis and prognosis of the disease. Recently, growing interest has been focused on the changes in serum protein expression in experimental virus infections to found sera proteins concerning pathogenesis or biomarker for diagnosis or prognosis. Serum contained thousands of protein species secreted and produced from cells and tissues [12, 13], which posses rich information concerning overall pathophysiology of the patient or diseased animal [14]. Thereby, analysis of the profile of serum protein alterations is a promising way to try finding potential biomarker and highlighting the pathogenesis of disease.

Here, we report a proteomic analysis of serum protein profile of CSFV-infected pigs and uninfected controls, in which the alterations of protein expression in CSFV-infected pig serum were characterized by two-dimension differential gel electrophoresis (2-D DIGE) followed by MALDI-TOF MS or LTQ MS. A total of 10 differentialy expressed protein spots have been successfully identified. The results shew an altered pattern of protein expression in CSFV-infected pig serum and provide a clue for identification of biomarkers for classical swine fever early diagnosis.


Comparative proteomic analysis of CSFV-infected and uninfected serum samples

Serum proteomic profiles of CSFV-infected and uninfected pigs were analyzed by 2-D DIGE. Representative 2-D DIGE profiles of infected, control and internal standard samples are displayed in Figure 1. Images analysis showed that there were between 1127 and 1213 protein spots in each 2D-DIGE gel with 17 spots showing changes of at least 1.5 fold up- or down-regulated expression in infected serum samples (Figure 1). The relative abundance volume ratios of protein spots in CSFV-infected and uninfected serum samples are shown in Table 1, 2.

Figure 1
figure 1

Representative 2D-DIGE image of serum proteins from control and CSFV-infected pigs. The image shown is of a 150 μg sample (50 μg each of Cy2-, Cy3- and Cy5-labeled samples) run on a pH 3-10 non-linear gradient IPG strip and 12.5% polyacrylamide gel. Circled and numbered spots in image have been identified as differentially expressed protein spots. Cy2 (red) image of proteins from internal standard samples; Cy3 (green) image of proteins from CSFV-infected sera; Cy5 (blue) image of proteins from control sera.

Table 1 Proteins with at least 1.5-fold quantitative alteration in expression in serum from CSFV-infected pigs measured by 2-D DIGE and MALDI-ToF MS analysis
Table 2 Proteins with at least 1.5-fold quantitative alteration in expression in serum from CSFV-infected pigs by 2-D DIGE and LTQ MS analysis

Protein identification by MS

Of these 17 differentially expressed protein spots, 10 were unambiguously identified by using MALDI-TOF MS or Finnigan LTQ MS (Figure 2, tables 1 and 2), 4 being significantly up-regulated (Figure 2B), and 6 down-regulated (Figure 2A). Morover, two different spots (spot 636 and 829) were identified as one protein of serotransferrin, which showed the presence of isoforms.

Figure 2
figure 2

Graphical representation of protein spots down-regulated (A) and up-regulated (B) in sera from CSFV-infected pigs (p < 0.01). Protein spot detection and quantification were performed by the DIA (Differential In-gel Analysis) module of the DeCyder 6.5 software. Each circle represents the abundance of the referred spot in an individual gel, which was expressed as a volume ratio to its corresponding internal standard (spot labeled with Cy2 in the same gel). For each group (control and CSFV-infected pigs), the arithmetic mean of the standardized spot abundances is indicated by the symbol +. To match protein spots across multiple gels and perform statistical analysis (paired Student's t test), the BVA (Biological Variation Analysis) module was used.


In this study, a proteomic method of 2-D DIGE was used to compare serum protein profiles of CSFV-infected pigs and uninfected controls. 2-D DIGE is a fluorescence-based technique for protein visualization and quantification that circumvents the shortcomings of conventional two-dimension polyacrylamide gel electrophoresis (2D-PAGE) such as low sensitivity, reduced dynamic range and gel-to-gel variability [15]. Therefor, 2-D DIGE may present more reliable data with the accurate quantitation and the good reproducibility compared to conventional 2-DE.

A total of 10 protein spots of all 17 differentially expressed protein spots were successfully identified by MS. The remaining 7 protein spots were not identified successfully, either because the quantity was too low to produce a good spectrum or because the confidence levels of the database search using PMF or MS/MS data were insufficient to yield unambiguous results.

Altered expression of proteins in the serum of infected swine is likely a consequence of the infection/disease. How these proteins are implicated in the pathogenesis of CSFV remains unclear, but a brief consideration of their known functions provide some clues.

Both apolipoprotein A-I (apo A-I) and thrombin inhibitor isoform 2 are involved in blood coagulation. Apo A-I participates in the reverse transport of cholesterol, and is believed to have antioxidant and anti-inflammatory effects. Apo A-I is also involved in stimulating endothelial cell movement by high density lipoprotein (HDL) which contributes to the migration of endothelial cells into a wound region and recovery of the endothelium [16]. ApoA-I also takes part in inhibiting the synthesis of platelet-activating factor by endothelial cells [17], and protecting erythrocytes against the generation of procoagulant activity [18]. Thrombin is a plasma serine protease that plays a key role in coagulation and hemostasis but also in thromboembolic diseases. Thrombin inhibitor is a potent inhibitor of thrombin and thrombin-induced platelet aggregation. It is capable of antagonizing host hemostasis and facilitating blood feeding. Down-regulation of apo A-I and thrombin inhibitor isoform 2 may be involved in disruption of hemostatic balance, resulting in the coagulation and thrombosis seen during acute CSF. In addition, down-regulation of apo A-I may affect vascular endothelium repair and inflammatory inhibition.

Another down-regulated protein, haptoglobin (Hp), is a positive acute phase protein. It strongly binds hemoglobin and has anti-inflammatory activities and binds to CD11b/CD18 integrins representing major receptors on the cell membranes of leukocytes [19]. Haptoglobin also has a role in stimulating angiogenesis and has been identified as an angiogenic factor in sera from patients with systemic vasculitis [20]. It is known that CSFV has a particular tropism for vascular endothelial cells in pigs and causes pathological damage. Down-regulation of haptoglobin in CSFV-infected pigs may therefore impede angiogenesis and vascular repair, not facilitate angiogenesis and vascular repair.

Increased retinol-binding protein 4 (RBP4) is a protein bound to some degree to plasma prealbumins, delivering retinol. In plasma, the RBP-retinol complex interacts with transthyretin, which prevents its loss by filtration through the kidney glomeruli. It was reported that RBP4 isoforms and levels were highly increased in the plasma of patients with chronic kidney disease [21], and retinol-binding protein was also identified as a biomarker of acute kidney injury [22]. It is known that CSFV infection may cause kidney petechial bleeding; therefore, upregulation of RBP4 in CSFV-infected pigs may be involved in kidney injury caused by CSFV infection.

Vitamin D-binding protein (VDBP) is a multifunctional protein. In plasma, it carries the vitamin D sterols and scavenges extracellular G-actin released from necrotic cells, inhibiting the formation of polymeric actin filaments (F-actin) that can trigger disseminated intravascular coagulation and multiorgan failure [23]. VDBP also associates with membrane-bound immunoglobulin on the surface of B-lymphocytes and with IgG Fc receptor on the membranes of T-lymphocytes. VDBP is also implicated in macrophage activation and neutrophil chemotaxis [24]. Gasparri et al. have shown that VDBP reduces platelet aggregation and prolongs coagulation time ex vivo[25]. Downregulation of multifunctional VDBP in CSFV-infected individuals may therefore be implicated in the pathogenesis of CSFV.

Serotransferrin are iron binding transport proteins, responsible for the transport of iron from sites of absorption and heme degradation to those of storage and utilization. Serotransferrin may also have a further role in stimulating cell proliferation. Drakesmith and Prentice have shown that some virus need iron-replete host for efficient replication and viral infection alters the expression of proteins involved in iron homeostasis, such as HIV-1 and hepatitis C virus infection [26]. Up-regulation of serotransferrin in CSFV-infected serum may implicate that iron-replete homeostasis of host is needed for CSFV efficient replication.


This is the first report on quantitative serum protein profiles of CSFV-infected pigs. Ten proteins with significant changes in expression have been identified during the acute phase of CSF; further studies focusing on the functional properties and predictive value for CSFV infection may permit identification of biomarkers for early diagnosis of CSFV infection and development of new diagnostic methods.

Materials and methods

CSFV infection and serum proteins preparation

Ten 60-day-old Landrace pigs were used. All pigs were free from CSFV infection, as validated by using a protocol described by Shi et al. [27]. Five pigs were injected intramuscularly with a lethal dose of highly virulent CSFV strain Shimen using a previous protocol [27], the remaining 5 serving as uninfected controls.

In the early stage of acute infection, when rectal temperature increased (≥40°C) but without other CSF clinical symptoms, blood samples from each pig were collected and sera were separated. Serum albumin and immunoglobulin (IgG) were removed using a ProteoSeek™ Albumin/IgG Removal Kit (Pierce) according to the manufacturer's instructions. Samples were centrifuged at 12000 g in a YM-3 centrifugal filter (Millipore) to make protein concentration to 5-10 μg/μL as measured using Coomassie Plus-The Better Bradford™ Assay kit (GE Healthcare).


Treated serum samples were diluted to give stock solutions with final protein concentrations of about 5 mg/mL using DIGE lysing solution (7 M urea, 2 M thiourea, 62 mM Tris, 4%CHAPS, 0.2% IPG buffer, PH8.8). Equal volumes of serum from each infected pig and the control pigs were mixed as an internal standard. Serum samples were labeled with cyanine dyes (GE Healthcare) according to the manufacturer's directions. Briefly, 50 μg of serum samples were minimally labeled with 400 pmol CyDye following the cross-label rule (Cy2 labeling the internal standard, Cy3 and Cy5 cross labeling infected or control samples). Differentially labeled samples (50 μg each of Cy2-, Cy3- and Cy5-labeled samples) were mixed and diluted with rehydration buffer (8 M urea, 4% CHAPS, 130 mM DTT, 2% Pharmalyte, pH 3-10 non-linear) to 350 μl, and loaded onto IPG strips (18 cm; pH 3-10 NL) with active rehydration (30 V for 10 h). Protein components were resolved by first-dimension isoelectric focusing (IEF) conducted at 20°C in an Ettan IPGphor Isoelectric Focusing System I (GE Healthcare), with the current limited to 50 mA/strip and the following voltage program: 200 V/1 h, 500 V/1 h, 1000 V/1 h, linear ramp to 8000 V over 1 h, then 8000 V constant for a total focusing time of 80 000 Vh. The IPG strips were then equilibrated by soaking first for 15 min in 50 mM Tris-HCl (pH 8.8), 6 M urea, 2% SDS, 30% glycerol, 2% (w/v) DTT and a trace of bromophenol blue, then for 15 min in the same solution but containing 2.5% (w/v) iodoacetamide instead of DTT. All strips were subsequently loaded on 12.5% homogeneous SDS polyacrylamide gels and the second-dimensional separation was performed at 20°C at a constant current of 15 mA/gel for 30 min, then 30 mA/gel until the dye reached the bottom of the gel in the Ettan DALT Six System (GE Healthcare).

Unlabeled serum samples (800 μg) were separated by conventional 2-DE, following which the 2-D gels were stained with CBB-G250 (Sigma).

Image acquisition and analysis

A total of 5 DIGE gels were scanned using a Typhoon 9410 imager (GE Healthcare). Image analysis and statistical analysis were performed with DeCyder 6.5 (GE Healthcare). An internal standard, consisting of an equivolume pool of all samples in the experiment, was run in each gel. Measurement of the relative change of each sample to its internal standard effectively removed gel-to-gel variation, resulting in accurate quantitation of changes between samples (DeCyder 6.5 manual, Section 1.4). Proteins presenting as spots with ≥1.5-fold expression change between the sera from CSFV-infected and control swine were identified as being significantly altered (p ≤ 0.01, Student's t-test).

Protein identification by MS

Changes observed in 2D-DIGE images were matched with serum protein patterns in CBB-stained gels. Spots of interest were excised manually and subject to destaining and trypsin digestion according to the protocol described by Wan et al. [28]. After destaining and trypsin digestion of each protein spot, the peptide mixtures were extracted with extraction solution, 50% acetonitrile/0.5% trifluoroacetic acid (TFA), at 37°C for 1 h and lyophilized for further identification by MS. Peptide extracts were analyzed by MALDI-TOF MS or Finnigan LTQ MS (ThermoQuest) coupled with a Surveyor HPLC system (ThermoQuest). For MALDI-TOF MS analysis, the peptide powders were re-dissolved in 5 μl 0.1% TFA. One μl of supernatant was spotted on anchorChip targets (Bruker Daltonics), and then mixed with 0.5 μl matrix solution (10 mg/ml α-cyano-4-hydroxycinnamic acid in 50% acetonitrile/0.1% TFA). After the sample spot drying, the acquisition of the MALDI spectra was performed on a Bruker autoflex (Bruker Daltonics) MALDI-TOF mass spectrometer operated in reflector mode. The spectra were calibrated using a recently described procedure relying on external calibration followed by internal mass correction. Protein identification was performed by searching the NCBInr database [ 20080410 (6417748 sequences; 2190362656 residues)] using the MASCOT database search engine. Up to one missed cleavage is permitted and 150 ppm peptide mass error tolerance was used for all tryptic-mass searches. Fixed modifications of carbamidomethylation and variable modifications of oxidation were allowed. For LTQ MS, a microcore RP column (C18 150 μm × 120 mm; Thermo Hypersil, San Jose, CA, USA) was used to separate the peptide extracts. Mobile phase A (0.1% formic acid in water) and mobile phase B (0.1% formic acid in ACN) were selected. The tryptic peptide mixtures were eluted using 2% solvent B for 15 min, increasing linearly to 98% solvent B for 90 min. The peptides were eluted from the C18 microcapillary column at a flow rate of 150 μl per min and then electrosprayed directly into a mass spectrometer (spray voltage 3.2 KV) with a capillary temperature of 170°C. The full scan range was from M/Z 400 to 2000. The data sets obtained in the LC-MS/MS analyses were used for database searches with the SEQUEST search engine (Thermo Electron) against the database of NCBI Suina. A relative molecular mass of 57 Da was added to the average molecular mass of cysteines in MS/MS data searching. Both b ions and y ions were included in the database search. Protein identification results were filtered with Xcorr(1 + ≥ 1.9, 2 + ≥ 2.2, 3 + ≥ 3.75) and DelCn(≥ 0.1).



Coomassie brilliant blue


3-[(3-cholamidopropyl) dimethyl-ammonio]-1-propanesulfonate


difference gel electrophoresis




immobilized pH gradient


matrix-assisted laser desorption/ionization time-of-flight mass spectrometry


two-dimensional electrophoresis


  1. Heinz FX, Collett MS, Purcell RH, Gould EA, Howard CR, Houghton Moormann RJM, Rice CM, Thiel HJ: Family Flaviridae. Eighth Report of the International Committee on Taxonomy of Viruses. Edited by: Fauquet CM, Mayo M, Maniloff J, Desselberger U, Ball LA. 2004, Academic Press, San Diego, 981-998. Virus Taxonomy

    Google Scholar 

  2. Thiel HJ, Plagemann PGW, Moennig V: Pestiviruses. In Fields, Virology. Edited by: Fields DM Knipe, Howley PM. 1996, Philadelphia: Lippincott-Raven, 3

    Google Scholar 

  3. Moennig V, Plagemann PGW: The pestiviruses. Adv Virus Res. 1992, 41: 53-98. full_text.

    Article  CAS  PubMed  Google Scholar 

  4. Susa M, König M, Saalmüller A, Reddehase MJ, Thiel HJ: Pathogenesis of classical swine fever: B-lymphocyte deficiency caused by hog cholera virus. J Virol. 1992, 66: 1171-1176.

    PubMed Central  CAS  PubMed  Google Scholar 

  5. Summerfield A, Knötig SM, McCullough KC: Lymphocyte apoptosis during classical swine fever: implication of activation-induced cell death. J Virol. 1998, 72: 1853-1861.

    PubMed Central  CAS  PubMed  Google Scholar 

  6. Choi C, Hwang KK, Chae C: Classical swine fever virus induces tumor necrosis factor-alpha and lymphocyte apoptosis. Arch Virol. 2004, 149: 875-889. 10.1007/s00705-003-0275-6.

    Article  CAS  PubMed  Google Scholar 

  7. Sánchez-Cordón PJ, Romanini S, Salguero FJ, Núñez A, Bautista MJ, Jover A, Gómez-Villamos JC: Apoptosis of thymocytes related to cytokine expression in experimental classical swine fever. J Comp Pathol. 2002, 127: 239-48.

    Article  PubMed  Google Scholar 

  8. Sánchez-Cordón PJ, Núñez A, Salguero FJ, Pedrera M, Fernández de Marco M, Gómez-Villamandos JC: Lymphocyte apoptosis and thrombocytopenia in spleen during classical swine fever: role of macrophages and cytokines. Vet Pathol. 2005, 42: 477-488.

    Article  PubMed  Google Scholar 

  9. Bensaude E, Turner JL, Wakeley PR, Sweetman DA, Pardieu C, Drew TW, Wileman T, Powell PP: Classical swine fever virus induces proinflammatory cytokines and tissue factor expression and inhibits apoptosis and interferon synthesis during the establishment of long-term infection of porcine vascular endothelial cells. J Gen Virol. 2004, 85: 1029-1037. 10.1099/vir.0.19637-0.

    Article  CAS  PubMed  Google Scholar 

  10. Sun J, Jiang Y, Shi Z, Yan Y, Guo H, He F, Tu C: Proteomic alteration of PK-15 cells after infection by classical swine fever virus. J Proteome Res. 2008, 7: 5263-5269. 10.1021/pr800546m.

    Article  CAS  PubMed  Google Scholar 

  11. Sun J, Shi Z, Guo H, Tu C: Changes in the porcine peripheral blood mononuclear cell proteome induced by infection with highly virulent classical swine fever virus. J Gen Virol. 2010, 91: 2254-2262. 10.1099/vir.0.022020-0.

    Article  CAS  PubMed  Google Scholar 

  12. Sasaki K, Sato K, Akiyama Y, Yanagihara K, Oka M, Yamaguchi K: Peptidomics-based approach reveals the secretion of the 29-residue COOH-terminal fragment of the putative tumor suppressor protein DMBT1 from pancreatic adenocarcinoma cell lines. Cancer Res. 2002, 62: 4894-4898.

    CAS  PubMed  Google Scholar 

  13. Kennedy S: The role of proteomics in toxicology: identification of biomarkers of toxicity by protein expression analysis. Biomarkers. 2002, 7: 269-290. 10.1080/13547500210127318.

    Article  CAS  PubMed  Google Scholar 

  14. Issaq HJ, Xiao Z, Veenstra TD: Serum and plasma proteomics. Chem Rev. 2007, 107: 3601-3620. 10.1021/cr068287r.

    Article  CAS  PubMed  Google Scholar 

  15. Van den Bergh G, Arckens L: Fluorescent two-dimensional difference gel electrophoresis unveils the potential of gel-based proteomics. Curr Opin Biotechnol. 2004, 15: 38-43. 10.1016/j.copbio.2003.12.001.

    Article  CAS  PubMed  Google Scholar 

  16. Murugesan G, Sa G, Fox PL: High-density lipoprotein stimulates endothelial cell movement by a mechanism distinct from basic fibroblast growth factor. Circ Res. 1994, 74: 1149-1156.

    Article  CAS  PubMed  Google Scholar 

  17. Sugatani J, Miwa M, Komiyama Y, Ito S: High-density lipoprotein inhibits the synthesis of platelet-activating factor in human vascular endothelial cells. J Lipid Mediators Cell Signal. 1996, 13: 73-88. 10.1016/0929-7855(95)00047-X.

    Article  CAS  Google Scholar 

  18. Epand RM, Stafford A, Leon B, Lock PE, Tytler EM, Segrest JP, Anantharamaiah GM: HDL and apolipoprotein A-I protect erythrocytes against the generation of procoagulant activity. Arterioscler Thromb. 1994, 14: 1775-1783.

    Article  CAS  PubMed  Google Scholar 

  19. El Ghmati SM, van Hoeyveld EM, van Strijp JG, Ceuppens JL, Stevens EA: Identification of haptoglobin as an alternative ligand for CD11B/CD18. J Immunol. 1996, 156: 2542-2552.

    CAS  PubMed  Google Scholar 

  20. Cid MC, Grant DS, Hoffman GS, Auerbach R, Fauci AS, Kleinman HK: Identification of haptoglobin as an angiogenic factor in sera from patients with systemic vasculitis. J Clin Invest. 1993, 91: 977-85. 10.1172/JCI116319.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Frey SK, Nagl B, Henze A, Raila J, Schlosser B, Berg T, Tepel M, Zidek W, Weickert MO, Pfeiffer AF, Schweigert FJ: Isoforms of retinol binding protein 4 (RBP4) are increased in chronic disease of the kidney but not of the liver. Lipids Health Dis. 2008, 7: 29-10.1186/1476-511X-7-29.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Lisowska-Myjak B: Serum and urinary biomarkers of acute kidney injury. Blood Purif. 2010, 29: 357-365. 10.1159/000309421.

    Article  CAS  PubMed  Google Scholar 

  23. Albuquerque LM, Trugilho MR, Chapeaurouge A, Jurgilas PB, Bozza PT, Bozza FA, Perales J, Neves-Ferreira AG: Two-dimensional difference gel electrophoresis (DiGE) analysis of plasmas from dengue fever patients. J Proteome Res. 2009, 8: 5431-5441. 10.1021/pr900236f.

    Article  CAS  PubMed  Google Scholar 

  24. Chishimba L, Thickett DR, Stockley RA, Wood AM: The vitamin D axis in the lung: a key role for vitamin D-binding protein. Thorax. 2010, 65: 456-462. 10.1136/thx.2009.128793.

    Article  CAS  PubMed  Google Scholar 

  25. Gasparri C, Curcio A, Torella D, Gaspari M, Celi V, Salituri F, Boncompagni D, Torella M, Gulletta E, Cuda G, Indolfi C: Protomics reveals high levels of vitamin D binding protein in myocardial infarction. Front Biosci (Elite Ed). 2010, 2: 786-804.

    Google Scholar 

  26. Drakesmith H, Prentice A: Viral infection and iron metabolism. Nat Rev Microbiol. 2008, 6: 541-552. 10.1038/nrmicro1930.

    Article  CAS  PubMed  Google Scholar 

  27. Shi Z, Sun J, Guo H, Tu C: Genomic expression profiling of peripheral blood leukocytes of pigs infected with highly virulent classical swine fever virus strain Shimen. J Gen Virol. 2009, 90: 1670-1680. 10.1099/vir.0.009415-0.

    Article  CAS  PubMed  Google Scholar 

  28. Wan J, Sun W, Li X, Ying W, Dai J, Kuai X, Wei H, Gao X, Zhu Y, Jiang Y, Qian X, He F: Inflammation inhibitors were remarkably up-regulated in plasma of severe acute respiratory syndrome patients at progressive phase. Proteomics. 2006, 6: 2886-2894. 10.1002/pmic.200500638.

    Article  CAS  PubMed  Google Scholar 

Download references


This work was supported by National "973" Program (Grant No. 2005CB523200), National Key Technology R&D Program (Grant No. 2006BAD06A03) and Ph.D Initiatory Fund of Liaoning Province (Grant No. 20091028).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Chang-chun Tu.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

JS performed the experiments, analyzed data and wrote manuscript; ZS and HG inoculated pigs with CSFV, prepared serum samples and performed 2D DIGE; SL conducted image analysis. CT is the supervisor of the study group, designed the experiments and wrote the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Sun, Jf., Shi, Zx., Guo, Hc. et al. Proteomic analysis of swine serum following highly virulent classical swine fever virus infection. Virol J 8, 107 (2011).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: