| Literature DB >> 32994542 |
Fang Zeng1,2,3, Chengcheng Zhao2,3, Xiao Wu2,3, Rui Dong2,3, Guoling Li2,3, Qingchun Zhu2,3, Enqin Zheng2,3, Dewu Liu2,3, Jinzeng Yang4, Stefan Moisyadi5, Johann Urschitz5, Zicong Li6,7, Zhenfang Wu8,9.
Abstract
About 70% of all antibiotics produced in the world are used in the farm animal industry. The massive usage of antibiotics during farm animal production has caused rapid development of antibiotic resistance in bacteria, which poses a serious risk to human and livestock health when treating bacterial infections. Protegrin-1 (PG-1) is a potent antimicrobial peptide (AMP). It was initially identified in pig leukocytes with a broad-spectrum antibacterial and antiviral activity, and a low rate of inducing bacterial resistance. To develop a genetic approach for reducing the use of antibiotics in farm animal production, we produced transgenic mice carrying a bovine tracheal AMP gene promoter-controlled PG-1 transgene. The PG-1 transgene was specifically expressed in the respiratory tract of transgenic mice upon induction by bacterial infection. These PG-1 transgenic mice exhibited enhanced resistance to nasal bacterial infection as the transgenic mice showed a higher survival rate (79.17% VS. 34.78%), lower bacterial load and milder histological severity than their wild-type control littermates. The improved resistance to bacterial infection in the PG-1 transgenic mice could be resulted from the direct bacteria-killing activities of PG-1, and the immunomodulatory effects of PG-1 via stimulating interleukin 1 beta secretion. The present study provides a promising genetic strategy to prevent airway bacterial infections in farm animals by bacteria-inducible tissue-specific expression of PG-1 transgene. This approach may also be helpful for decreasing the possibility of inducing bacterial resistance during farm animal production.Entities:
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Year: 2020 PMID: 32994542 PMCID: PMC7524760 DOI: 10.1038/s41598-020-73084-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Generation of PG-1 transgenic mice. (A) Map of the constructed pTAP-PG-1 plasmid. The piggyBac 5′ and 3′ TRs, the piggyBac transposon 5′ and 3′ terminal repeat elements; TAP, the bovine trachea antimicrobial peptide gene promoter; PG-1, the pig-derived antimicrobial peptide protegrin-1 gene; BGH polyA, bovine growth hormone signal; CMV, cytomegalovirus promoter; Neo, the neomycin gene; 2A, the 2A peptide linker; EGFP, the enhanced green fluorescence protein gene. (B) PCR identification of PG-1 transgenic founder mice. M, marker; P, positive control using mixture of the pTAP-PG-1 plasmid and WT mouse DNA as template for PCR; WT, wild-type mice; N, negative control using water as template for PCR. β-Actin was amplified as internal control. (C) EGFP expression in the claw tissues of PG-1 transgenic founder mice. TG, transgenic mice. WT, wild-type mice.
Summary of the production of PG-1 transgenic mice by pronuclear microinjection.
| No. of injected embryos | No. of transferred injected embryos | No. of surrogate mothers | No. of born mice | No. of transgenic mice |
|---|---|---|---|---|
| 400 | 362 | 12 | 56 | 11 |
Figure 2Selection of transgenic mouse lines. (A) Analysis of PG-1 transgene copy number in transgenic founder mice. Data shown are the means ± SEMs from triplicate experiments. (B) Comparison of PG-1 transgene expression level in the respiratory tract tissues among different transgenic mouse lines. Four to six transgenic mice were analyzed for each line, and data shown are the means ± SEMs. Values of the same tissue labeled with different lower case letters are significantly different at P < 0.05. NG no germline transmission of transgene, IF infertile.
Figure 3Characterization of transgene expression in transgenic mice from line 438. (A) Expression of EGFP marker gene in transgenic offspring from line 438. (B) Relative expression levels of PG-1 mRNA in the trachea, lung, heart, muscle, liver, brain, and skin tissues of line 438 transgenic mice with or without LPS treatment. (C) Relative expression levels of PG-1 mRNA in the trachea, lung, heart, muscle, liver, brain, and skin tissues of line 438 transgenic mice with or without A.pp infection. A.pp infection group’s tissue values labeled with a “*” means they are significantly different from the corresponding tissue value in no A.pp infection group. (D) PG-1 protein levels in the trachea and lung tissues of line 438 transgenic mice injected with LPS. Four transgenic mice were analyzed in B and C, and data shown are means ± SEMs.
Figure 4Analysis of resistance of PG-1 transgenic mice to nasal A.pp infection. (A) Valuation of susceptibility of WT mice to A.pp infection by nasal inoculation of the different A.pp dosages. Infected mice were monitored for 8 days (192 h) to calculate death rate. (B) Comparison of death rate between line 438 transgenic mice and their WT littermates after nasal inoculation of A.pp at 6.555 × 107 CFU per mouse. *Mean difference between two groups reaches level of significance at P < 0.05.
Figure 5Comparison of A.pp bacterial load, histological features, and serum cytokine concentrations among surviving transgenic (n = 4) and WT (n = 4) mice at 6 hpi and non-infected NC mice (n = 3). (A) Representative culture plates of A.pp colonies recovered from homogenized tissues of surviving transgenic and WT mice at 6 hpi and non-challenged NC mice. (B) Histological analysis of surviving transgenic and WT mice at 6 hpi and non-challenged NC mice. Representative sections are shown. Lung and trachea sections show that WT mice have severe focal congestion (indicated by arrow head), which was not found in the lungs of NC mice and challenged transgenic mice. Lung sections indicate that the alveolar spaces are clear in NC mice but have mild and severe neutrophilic infiltrates (indicated by arrows) in transgenic and WT mice, respectively. Liver and spleen sections show that all groups of mice have similar features. (C) Serum cytokine concentrations in surviving transgenic and WT mice at 6 hpi and non-challenged NC mice. Values labeled with different superscripts are significantly different at P < 0.01.
Comparison of routine blood parameters among non-infected NC, A.pp-infected WT, and A.pp-infected transgenic live mice at 6 hpi.
| NC (n = 6) | WT (n = 4) | TG (n = 4) | |
|---|---|---|---|
| WBC# (109/L) | 3.77 ± 0.83 | 3.52 ± 0.64 | 3.51 ± 0.81 |
| Bas# (109/L) | 0.022 ± 0.01 | 0.01 ± 0.000 | 0.018 ± 0.015 |
| Neu# (109/L) | 0.89 ± 0.43A | 0.57 ± 0.19A | 1.13 ± 0.26 B |
| Eos# (109/L) | 0.008 ± 0.009 | 0.005 ± 0.006 | 0.015 ± 0.006 |
| Lymph# (109/L) | 2.84 ± 0.81 | 2.77 ± 0.41 | 1.95 ± 0.67 |
| Bas (%) | 0.62 ± 0.26 | 0.58 ± 0.25 | 0.65 ± 0.27 |
| Neu (%) | 23.87 ± 12.46 | 28.17 ± 9.70 | 36.85 ± 8.36 |
| Eos (%) | 0.23 ± 0.19 | 0.30 ± 0.25 | 0.50 ± 0.16 |
| Lymph (%) | 75.23 ± 12.52 | 70.95 ± 9.68 | 61.95 ± 8.58 |
| RBC (1012/L) | 8.45 ± 1.54 | 9.17 ± 1.30 | 9.56 ± 0.24 |
| HGB (g/L) | 128.67 ± 15.01 | 142.75 ± 17.89 | 147.75 ± 6.18 |
| MCV (fL) | 49.57 ± 0.27 A | 48.45 ± 0.95B | 47.98 ± 0.46B |
| MCH (pg) | 15.20 ± 0.34 | 15.65 ± 0.42 | 15.43 ± 0.34 |
| MCHC (g/L) | 306.50 ± 7.04A | 322.50 ± 2.38B | 321.75 ± 4.99B |
| RDW-CV (%) | 13.15 ± 0.50A | 12.25 ± 0.60B | 11.83 ± 0.10B |
| RDW-SD (fL) | 25.85 ± 0.87 | 23.58 ± 0.99 | 22.75 ± 0.13 |
| HCT (%) | 41.92 ± 7.64 | 44.35 ± 5.61 | 45.88 ± 1.50 |
| PLT (109/L) | 703.17 ± 212.09 | 620.00 ± 214.11 | 747.75 ± 194.51 |
| MPV (fL) | 6.38 ± 0.89 | 5.68 ± 0.36 | 5.83 ± 0.43 |
| PDW (%) | 15.10 ± 0.14 | 14.97 ± 0.13 | 15.05 ± 0.58 |
| PCT (%) | 0.43 ± 0.09 | 0.35 ± 0.11 | 0.43 ± 0.10 |
WBC#, white blood cell number; Bas#, basophil number; Neu#, neutrophil number; Eos#, eosinophil number; Lymph#, lymphocyte number; Bas%, percentage of basophils; Neu%, percentage of neutrophils; Eos%, percentage of eosinophils; Lymph%, percentage of lymphocytes; RBC, red blood cell number; HGB, hemoglobin concentration; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; RDW-CV, red cell distribution width-coefficient of variation; RDW-SD, red cell distribution width-standard deviation; HCT, hematocrit; PLT, platelet number; MPV, mean platelet volume; PDW, platelet distribution width; PCT, plateletcrit. Values in the same row labelled with different superscript are significantly different at P < 0.05.