| Literature DB >> 33178219 |
Yibin Yang1,2,3,4, Junya Wang1,2,3, Jiawen Xu1,2,3, Qin Liu1,2,3, Zixuan Wang1,2,3, Xiaozhen Zhu1,2,3, Xiaohui Ai4, Qian Gao1,2,3, Xinhua Chen5, Jun Zou1,2,3,6.
Abstract
Interleukin (IL)-22 plays an important role in regulating inflammation and clearance of infectious pathogens. IL-22 homologs have been discovered in fish, but the functions and sources of IL-22 have not been fully characterized. In this study, an IL-22 homolog was identified in grass carp and its bioactivities were investigated. The grass carp IL-22 was constitutively expressed in tissues, with the highest expression detected in the gills and hindgut. It was upregulated in the spleen after infection with Flavobacterium columnare and grass carp reovirus and in the primary head kidney and spleen leukocytes stimulated with LPS and IL-34. Conversely, it was downregulated by Th2 cytokines such as IL-4/13B and IL-10. The recombinant IL-22 produced in bacteria showed a stimulatory effect on the expression of inflammatory cytokines and STAT3 in the primary head kidney leukocytes and CIK cells. Moreover, the IL-22-positive cells were found to be induced in the hindgut and head kidney 24 h after infection by F. columnare. Our data suggest that IL-22 plays an important role in regulating mucosal and systemic immunity against bacterial and viral infection.Entities:
Keywords: IL-22 producing cells; bioactivity; cytokine; grass carp; interleukin 22
Year: 2020 PMID: 33178219 PMCID: PMC7593840 DOI: 10.3389/fimmu.2020.586889
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Primers used in this study.
| Fa | GCACATCTTGCATGCAGATGATC | 3′-RACE |
| Fb | GATCTGCACAGGCTCGCACAAG | 3′-RACE |
| Fc | TGCAGAACATGCGCAGGTCAAG | 3′-RACE |
| Ra | GTCTTCCTTCTGTGCATGTTCAG | 5′-RACE |
| Rb | TAGAGGTTGTTCCAGGTGACG | 5′-RACE |
| Rc | GGGGCGCGGGCGCATGAGGTGC | 5′-RACE |
| IL-22-F | CTCGTCTACGAGGAACATCAGTC | Verify the full length |
| IL-22-R | GCATGAAAGCACAGTTCCCATGCC | Verify the full length |
| IL-22-qF | CCGTACTGTAGCAACAGTGCAG | Real-time PCR |
| IL-22-qR | TCACATTCTTGCAGAGCAGGATTC | Real-time PCR |
| IL-34-qF | TCAACAGGGTATAAAGAGGGTT | Real-time PCR |
| IL-34-qR | ATCCAGTAATGACTTGGGTGTA | Real-time PCR |
| IL-6-qF | CAGCAGAATGGGGGAGTTATC | Real-time PCR |
| IL-6-qR | CTCGCAGAGTCTTGACATCCTT | Real-time PCR |
| IL-1β-qF | TCTCCTCGTCTGCTGGGTGT | Real-time PCR |
| IL-1β-qR | CAAGACCAGGTGAGGGGAAG | Real-time PCR |
| IL-8-qF | TCTACCCTCCTAGCCCTCACTG | Real-time PCR |
| IL-8-qR | TCATGGTGCTTTGTTGGCAAGGA | Real-time PCR |
| IL-10-qF | GCAACAGAACATCAATAGTCCTT | Real-time PCR |
| IL-10-qR | CACCCTTTTCCTTCATCTTTTCA | Real-time PCR |
| TGF-β1-qF | TTGGGACTTGTGCTCTAT | Real-time PCR |
| TGF-β1-qR | AGTTCTGCTGGGATGTTT | Real-time PCR |
| IL-21-qF | CCACCAACGATTTGAAGGACTGC | Real-time PCR |
| IL-21-qF | CTGGGCAACTTTTCCACAATGA | Real-time PCR |
| STAT3-F | GGCTCTATGGAATGAAGGGTA | Real-time PCR |
| STAT3-R | CAACTGACTGGATCTGGGTCT | Real-time PCR |
| EF-1α-qF | CAGCACAAACATGGGCTGGTTC | Real-time PCR |
| EF-1α-qR | ACGGGTACAGTTCCAATACCTCCA | Real-time PCR |
| UPM-Long | CTAATACGACTCACTATAGGGCAAGC AGTGGTATCAACGCAGAGT | 3′-RACE |
| UPM-Short | CTAATACGACTCACTATAGGGC | 3′-RACE |
| NUP | AAGCAGTGGTATCAACGCAGAGT | 3′-RACE |
| APG | CCAGACTCGTGGCTGATGCA GGGGGGGGGGGGGGGG | 5′-RACE |
| AP | CCAGACTCGTGGCTGATGCA | 5′-RACE |
| T7 | TAATACGACTCACTATAGGG | Plasmid verification |
| T7-tet | GCTAGTTATTGCTCAGCGG | Plasmid verification |
| pcDNA3.1-F | CTAGAGAACCCACTGCTTAC | Plasmid verification |
| pcDNA3.1-R | TAGAAGGCACAGTCGAGG | Plasmid verification |
Figure 1Protein sequence alignment (A), gene synteny (B), and the phylogenetic tree (C) of CiIL-22 and IL-10 family members. The predicted signal peptide is boxed, and putative disulfide bonds of CiIL-22 are indicated. Arrows indicate gene transcription orientation. The tree was constructed using the Neighbor-Joining method within the MEGA program (Version 6.0). The JTT matrix-based model using the pair-wise deletion option was chosen. The percentages of bootstrap values (>70%) are shown next to the branches based on 10,000 bootstrap replications. Protein sequences of IL-10 family members including IL-10, IL-19, IL-20, IL-22, and IL-26 were obtained from the NCBI database. The CiIL-22 is indicated by “♦”.
Amino acid identities (%) of CiIL-22 with other homologs.
| 1. Human | |||||||||
| 2. Mouse | 77.65 | ||||||||
| 3. Turtle | 45.51 | 42.13 | |||||||
| 4. Frog | 32.20 | 32.77 | 37.37 | ||||||
| 5. Shark | 31.13 | 30.46 | 29.01 | 25.62 | |||||
| 6. Turbot | 20.13 | 18.87 | 16.47 | 15.98 | 17.93 | ||||
| 7. Grass carp | 22.44 | 21.15 | 23.12 | 23.27 | 21.68 | 30.62 | |||
| 8. Rainbow trout | 21.43 | 21.43 | 18.47 | 17.31 | 22.46 | 48.82 | 28.03 | ||
| 9. Zebrafish | 20.51 | 19.87 | 25.95 | 20.75 | 18.57 | 29.34 | 54.09 | 47.06 | |
| 10. Mullet | 17.39 | 16.77 | 16.27 | 14.37 | 18.44 | 59.89 | 30.00 | 24.22 | 26.63 |
Figure 2Expression of CiIL-22 in tissues of healthy fish (A) and fish infected with F. columnare (B) or GCRV (C). The mRNA levels of CiIL-22 were determined by qPCR. The relative expression levels of CiIL-22 were expressed as arbitrary units that were normalized against the expression levels of EF-1α. Fold changes were calculated by comparing the average levels of gene expression of infected groups with those of corresponding control groups. Data are shown as mean + SEM (n = 4). *p < 0.05 or **p < 0.01 are considered significant.
Figure 3Expression analysis of CiIL-22 in the primary head kidney (A–C) and spleen (D–F) leukocytes, after stimulation with LPS, PHA, or poly(I:C). The cells were stimulated with LPS, PHA or poly(I:C) for 24 and 48 h and analyzed by qPCR. Data are shown as mean + SEM (N = 4). *p < 0.05 or **p < 0.01 are considered significant.
Figure 4Expression analysis of CiIL-22 in primary head kidney leukocytes after stimulation with rCiIFN-1, rCiIFN-γrel, rCiIL-2, rCiIL-4/13B, rCiIL-10, or rCiIL-34. Head kidney macrophages were stimulated with rCiIFN-1, rCiIFN-γrel, rCiIL-2, rCiIL-4/13B, rCiIL-10, or rCiIL-34 for 12 h, and CiIL-22 expression was analyzed using qPCR. The EF-1α gene was used as an internal control. Fold change was calculated by comparing the average levels of expression of stimulated cells with those of corresponding control groups. Data are shown as mean + SEM (N = 4). *p < 0.05 or **p < 0.01 is considered significant.
Figure 5The effects of bacteria-derived rCiIL-22 on gene expression in the primary head kidney leukocytes (A–C) and CIK cells (D–F). The primary head kidney leukocytes were prepared as described in the Materials and Methods and stimulated with rCiIL-22 for 12 h. The mRNA expression of cytokines and STAT3 was analyzed by qPCR. Data are shown as mean + SEM (N = 4). *p < 0.05 or **p < 0.01 is considered significant.
Figure 6(A) Purification of rCiIL-22 in bacteria. rCiIL-22 was expressed in E. coli BL21 cells as inclusion bodies, refolded, and purified by size exclusion chromatography. Fraction 1 was checked by SDS-PAGE. (B) Western blotting analysis of bacteria-derived recombinant CiIL-22 using an IL-22 monoclonal antibody (GC3-22). Lane 1: protein buffer; lane 2: purified rCiIL-22. (C) Western blotting analysis of recombinant CiIL-22 expressed in HEK293 cells using mAb GC3-22. Lane 1, cell lysate of HEK293 cells transfected with pcDNA3.1; lane 2, cell lysate of HEK293 cells transfected with pcDNA3.1-CiIL-22.
Figure 7Localization of IL-22-positive cells in the hindgut and kidney of grass carp. Fish were i.p. injected with 1 μl bacterial suspension (1 × 107 CFU/ml) per gram body weight or an equal volume of PBS. Hindgut and kidney were fixed at 24 h after injection and subjected to confocal microscopic analysis using a mAb (GC3-22) against CiIL-22.