Avian influenza virus (AIV) emerged and has continued to re-emerge, continuously posing great threats to animal and human health. The detection of hemagglutination inhibition (HI) or virus neutralization antibodies (NA) is essential for assessing immune protection against AIV. However, the HI/NA-independent immune protection is constantly observed in vaccines’ development against H7N9 subtype AIV and other subtypes in chickens and mammals, necessitating the analysis of the cellular immune response. Here, we established a multi-parameter flow cytometry to examine the innate and adaptive cellular immune responses in chickens after intranasal infection with low pathogenicity H7N9 AIV. This assay allowed us to comprehensively define chicken macrophages, dendritic cells, and their MHC-II expression, NK cells, γδ T cells, B cells, and distinct T cell subsets in steady state and during infection. We found that NK cells and KUL01⁺ cells significantly increased after H7N9 infection, especially in the lung, and the KUL01⁺ cells upregulated MHC-II and CD11c expression. Additionally, the percentages and numbers of γδ T cells and CD8 T cells significantly increased and exhibited an activated phenotype with significant upregulation of CD25 expression in the lung but not in the spleen and blood. Furthermore, B cells showed increased in the lung but decreased in the blood and spleen in terms of the percentages or/and numbers, suggesting these cells may be recruited from the periphery after H7N9 infection. Our study firstly disclosed that H7N9 infection induced local and systemic cellular immune responses in chickens, the natural host of AIV, and that the flow cytometric assay developed in this study is useful for analyzing the cellular immune responses to AIVs and other avian infectious diseases and defining the correlates of immune protection.

The CD69 molecule, as an early activation marker of lymphocytes, is often used to assess the activation of cellular immunity. However, for pigs, an anti-pig CD69 antibody is not yet available for this purpose after infection or vaccination. In this study, a monoclonal antibody (mAb) against pig CD69 was produced by peptide immunization and hybridoma technique. One mAb (5F12) showed good reactivity with pig CD69 that was expressed in transfected-HEK-293T cells and on mitogen-activated porcine peripheral blood mononuclear cells (PBMCs) by indirect immunofluorescence assay and flow cytometry. This mAb did not cross-react with activated lymphocytes from mouse, bovine, and chicken. Epitope mapping showed that the epitope recognized by this mAb was located at amino acid residues 147–161 of pig CD69. By conjugating with fluorochrome, this mAb was used to detect the early activation of lymphocytes in PRRSV- and ASFV-infected pigs by flow cytometry. The results showed that PRRSV infection induced the dominant activation of CD4 T cells in mediastinal lymph nodes and CD8 T cells in the spleen at 14 days post-infection, in terms of CD69 expression. In an experiment on ASFV infection, we found that ASFV infection resulted in the early activation of NK cells, B cells, and distinct T cell subsets with variable magnitude in PBMCs, spleen, and submandibular lymph nodes. Our study revealed an early event of lymphocyte and T cell activation after PRRSV and ASFV infections and provides an important immunological tool for the in-depth analysis of cellular immune response in pigs after infection or vaccination.

The chicken embryo origin (CEO) vaccine of infectious laryngotracheitis virus (ILTV) confers the best protection against ILTV but causes adverse reactions due to its swift replication, thus limiting its use in poultry flocks. Seeking a strategy to alleviate the adverse reactions of the vaccine is most desirable for its safe use. Here, we observed that co-administration of chIL-2 significantly alleviated the clinical signs induced by the CEO vaccine in chickens. To address the underlying mechanism, we examined the cellular immune response of chickens treated with or without chIL-2 by multicolor flow cytometry and evaluated the impact of chIL-2 on the protective efficacy and replication of the CEO vaccine after the challenge. The results showed that co-administration of chIL-2 was associated with a decrease in the clinical signs and CEO viral load in tissues and induced a rapid and significant expansion of natural killer (NK) cells and cytotoxic T lymphocytes (CTLs) as well as upregulated expression of cytotoxic and T-cell-related cytokines at the early stage, especially in trachea and conjunctiva. However, chIL-2 treatment has no negative effect on the recall responses of NK cells, γδ T cells, and CTLs associated with the protective efficacy of the CEO vaccine after the ILTV challenge. Collectively, our results suggest that co-administration of chIL-2 with the CEO vaccine ameliorated the replication of the CEO vaccine by enhancing chicken NK cell and CTLs responses without affecting its protective efficacy. IMPORTANCE: Chickens immunized with the infectious laryngotracheitis chicken embryo origin (CEO) vaccine (Medivac, PT Medion Farma Jaya) experience adverse reactions, hindering its safety and effective use in poultry flocks. To improve the effect of the vaccine, we sought to find a strategy to alleviate the respiratory reactions associated with the vaccine. Here, we confirmed that co-administering the CEO vaccine with chIL-2 by oral delivery led to significant alleviation of the vaccine reactions in chickens after immunization. Furthermore, we found that the co-administration of chIL-2 with the CEO vaccine reduced the clinical signs of the CEO vaccine while enhancing natural killer cells and cytotoxic T lymphocyte response to decrease viral loads in their tissues, particularly in the trachea and conjunctiva. Importantly, we demonstrated that the chIL-2 treatment can ameliorate the replication of the CEO vaccine without compromising its effectiveness. This study provides new insights into further applications of chIL-2 and a promising strategy for alleviating the adverse reaction of vaccines.

Highly pathogenic (HP) H7N9 avian influenza virus (AIV) emerged in China in 2016. HP H7N9 AIV caused at least 33 human infections and has been circulating in poultry farms continuously since wave 5. The genetic divergence, geographic patterns, and hemagglutinin adaptive and parallel molecular evolution of HP H7N9 AIV in China since 2017 are still unclear. Here, 10 new strains of HP H7N9 AIVs from October 2019 to April 2021 were sequenced. We found that HP H7N9 was primarily circulating in Northern China, particularly in the provinces surrounding the Bohai Sea (Liaoning, Hebei, and Shandong) since wave 6. Of note, HP H7N9 AIV phylogenies exhibit a geographical structure compatible with high levels of local transmission after unidirectional rapid geographical expansion towards the north of China in 2017. In addition, we showed that two major subclades were continually expanding with the viral population size undergoing a sharp increase after 2018 with an obvious seasonal tendency. Notably, the hemagglutinin gene showed signs of parallel evolution and positive selection. Our research sheds light on the current epidemiology, evolution, and diversity of HP H7N9 AIV that can help prevent and control the spreading of HP H7N9 AIV.

Reassortment with the H9N2 virus gave rise to the zoonotic H7N9 avian influenza virus (AIV), which caused more than five outbreak waves in humans, with high mortality. The frequent exchange of genomic segments between H7N9 and H9N2 has been well-documented. However, the reassortment patterns have not been described and are not yet fully understood. Here, we used phylogenetic analyses to investigate the patterns of intersubtype and intrasubtype/intralineage reassortment across the eight viral segments. The H7N9 virus and its progeny frequently exchanged internal genes with the H9N2 virus but rarely with the other AIV subtypes. Before beginning the intrasubtype/intralineage reassortment analyses, five Yangtze River Delta (YRD A-E) and two Pearl River Delta (PRD A-B) clusters were divided according to the HA gene phylogeny. The seven reset segment genes were also nomenclatured consistently. As revealed by the tanglegram results, high intralineage reassortment rates were determined in waves 2–3 and 5. Additionally, the clusters of PB2 c05 and M c02 were the most dominant in wave 5, which could have contributed to the onset of the largest H7N9 outbreak in 2016–2017. Meanwhile, a portion of the YRD-C cluster (HP H7N9) inherited their PB2, PA, and M segments from the co-circulating YRD-E (LP H7N9) cluster during wave 5. Untanglegram results revealed that the reassortment rate between HA and NA was lower than HA with any of the other six segments. A multidimensional scaling plot revealed a robust genetic linkage between the PB2 and PA genes, indicating that they may share a co-evolutionary history. Furthermore, we observed relatively more robust positive selection pressure on HA, NA, M2, and NS1 proteins. Our findings demonstrate that frequent reassortment, particular reassorted patterns, and adaptive mutations shaped the H7N9 viral genetic diversity and evolution. Increased surveillance is required immediately to better understand the current state of the HP H7N9 AIV.

Pseudomonas aeruginosa is a ubiquitous environmental bacterium that causes a variety of infections in humans and animals. Although antibiotic resistance in livestock has been extensively documented, continuous surveillance remains crucial for tracking emerging resistance trends and assessing control measures. During 2017 and 2018, 234 strains of P. aeruginosa were identified from 1063 strains of pathogenic and nonpathogenic bacteria isolated from raw milk of healthy and mastitis cows. In this study, 132 convenience P. aeruginosa isolates were recovered and tested for antimicrobial susceptibility and the presence of antimicrobial resistance genes and virulence factors. Antimicrobial susceptibility testing revealed that these P. aeruginosa isolates were resistant to three (gentamicin, tobramycin, and ceftazidime) out of eight antibiotics. Real-time PCR targeting 21 antibiotic resistance genes indicated that aminoglycoside modifying enzyme (AME) gene ant(3″)-I was most frequently identified in both antimicrobial-resistant and -susceptible P. aeruginosa isolates, followed by aac(6′)-II and aac(6′)-Ib. The β-lactamase encoding gene, bla_PDC, was mainly identified in susceptible P. aeruginosa isolates. Virulence factors screening revealed the presence of exoS, exoT, exoU, pyo, aprA, toxA, plcH, algD, lasB, lasI, lasR, rh1L, and rh1R in resistant isolates, with the detection rates ranging from 16.7% to 88.9%. Additionally, next-generation sequencing was conducted on three resistant isolates to validate these findings. This study showed the antibiotic resistance of P. aeruginosa in raw milk samples from large-scale dairy farms in Jiangsu and Shandong provinces, China.