Skin metabolome reveals immune responses in yellow drum Nibea albiflora to Cryptocaryon irritans infection

Maha, Ivon F.; Xie, Xiao; Zhou, Suming; Yu, Youbin; Liu, Xiao; Zahid, Aysha; Lei, Yuhua; Ma, Rongrong; Yin, Fei; Dong, Qian

doi:10.1016/j.fsi.2019.09.027

Cited by 24 publications

(16 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the most relevant external clinical signs is the presence of skin lesions and ulcers in infected specimens [3], as we have also showed in this study, though these could be due to other factors. Skin lesions might be a consequence of the inflammatory processes triggered by the parasite at the moment of invasion [8,36], and skin ulcerations could appear when the trophont tries to exit the host epithelia, leading to epithelia erosion [17]. Gills are another target site for C. irritans [3].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, seabream is very susceptible to Cryptocaryon irritans, which causes the death of juveniles within 1 or 2 weeks [3]. C. irritans is a holotrich ciliate protozoan that causes marine white spot disease or "marine ich" [4] and is considered to be the most devastating parasitic disease in both mariculture and in ornamental fish, commonly occurring when temperatures are above 19 • C, mainly between 20-30 • C, and generally between June and October [3,[5][6][7][8][9][10]. C. irritans exhibits very low host specificity and is able to infect multiple fish species, with gilthead seabream being the most affected amongst the cultured species in the Mediterranean area [10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Severe Natural Outbreak of Cryptocaryon irritans in Gilthead Seabream Produces Leukocyte Mobilization and Innate Immunity at the Gill Tissue

Cervera

González-Fernández

Arizcún

et al. 2022

IJMS

View full text Add to dashboard Cite

The protozoan parasite Cryptocaryon irritans causes marine white spot disease in a wide range of fish hosts, including gilthead seabream, a very sensitive species with great economic importance in the Mediterranean area. Thus, we aimed to evaluate the immunity of gilthead seabream after a severe natural outbreak of C. irritans. Morphological alterations and immune cell appearance in the gills were studied by light microscopy and immunohistochemical staining. The expression of several immune-related genes in the gills and head kidney were studied by qPCR, including inflammatory and immune cell markers, antimicrobial peptides (AMP), and cell-mediated cytotoxicity (CMC) molecules. Serum humoral innate immune activities were also assayed. Fish mortality reached 100% 8 days after the appearance of the C. irritans episode. Gill filaments were engrossed and packed without any space between filaments and included parasites and large numbers of undifferentiated and immune cells, namely acidophilic granulocytes. Our data suggest leukocyte mobilization from the head kidney, while the gills show the up-regulated transcription of inflammatory, AMPs, and CMC-related molecules. Meanwhile, only serum bactericidal activity was increased upon infection. A potent local innate immune response in the gills, probably orchestrated by AMPs and CMC, is triggered by a severe natural outbreak of C. irritans.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Severe Natural Outbreak of Cryptocaryon irritans in Gilthead Seabream Produces Leukocyte Mobilization and Innate Immunity at the Gill Tissue

Cervera

González-Fernández

Arizcún

et al. 2022

IJMS

View full text Add to dashboard Cite

show abstract

“…After signal path enrichment analysis, we found that the DEMs were significantly enriched in the metabolic pathways of the linoleic acid (3/4 metabolites), taurine and hypotaurine (4/6 metabolites), AA (14/31 metabolites). These pathways are important for anti-inflammatory and immune responses during infection [ 34 , 35 ]. Studies have shown that pathway impact greater than 0.1 means that the pathway has enriched, and greater than 0.4 means significant enrichment [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

Arachidonic acid metabolism is elevated inMycoplasma gallisepticumandEscherichia colico-infection and induces LTC4 in serum as the biomarker for detecting poultry respiratory disease

Chen

Zhang

et al. 2020

Virulence

View full text Add to dashboard Cite

Outbreaks of multiple respiratory diseases with high morbidity and mortality have been frequently reported in poultry industry. Metabolic profiling has showed widespread usage in metabolic and infectious disease for identifying biomarkers and understanding of complex mechanisms. In this study, the non-targeted metabolomics were used on Mycoplasma gallisepticum ( MG ) and Escherichia coli ( E.coli ) co-infection model in serum, which showed that Leukotriene C4 (LTC4), Leukotriene D4 (LTD4), Chenodeoxycholate, Linoleate and numerous energy metabolites were varied significantly. KEGG enrichment analysis revealed that the metabolic pathways of linoleic acid, taurine and arachidonic acid (AA) were upregulated. To further characterize the consequences of co-infection, we performed an AA metabolic network pathway with metabolic products and enzyme genes. The results showed that the expression of LTC4 increased extremely significant and accompanied with different degree of infection. Meanwhile, the AA network performed the changes and differences of various metabolites in the pathway when multiple respiratory diseases occurred. Taken together, co-infection induces distinct alterations in the serum metabolome owing to the activation of AA metabolism. Furthermore, LTC4 in serum could be used as the biomarker for detecting poultry respiratory disease. Abbreviations MG: Mycoplasma gallisepticum; E.coli: Escherichia coli ; AA: Arachidonic acid; LTC4: Leukotriene C4; CRD: chronic respiratory diseases; KEGG: Kyoto Encyclopedia of Genes and Genomes; LTs: leukotrienes; PGs: prostaglandins; NO: nitric oxide; HIS: histamine; PCA: Principal Component Analysis; PLS-DA: Partial Least Squares Discriminant Analysis; CCU: color change unit; UPLC: ultra-performance liquid chromatography; MS: mass spectrometry; DEMs: differentially expressed metabolites; ELISA: enzyme-linked immunosorbent assay; SD: standard deviation; VIP: Variable importance in the projection

show abstract

“…The results demonstrated that an at 24 h of post-infection, C. irritans caused a strong metabolic stress on the fish, while at 72 h of post-infection, the restoration metabolic state took place indicates their resistance mechanism activation. During this 72 h post-infection about 17 metabolites were identified for potential biomarkers including 15-hydroxy-eicosatetraenoic acid (15-HETE) and adenine for anti-inflammatory responses, while betaine and delta-valerolactam for stimulation of antibodies production (Maha et al, 2019). A study conducted by Liu Q.N.…”

Section: Metabolomicsmentioning

confidence: 99%

Integration of Omics Tools for Understanding the Fish Immune Response Due to Microbial Challenge

et al. 2021

View full text Add to dashboard Cite

Nowadays, fish production through aquaculture and wild capture is escalating due to the higher fish protein demand for human consumption. Thus, the needs for fish products to be improved in scale and quality are becoming increasingly important to meet the nutrition requirements. The negative impacts caused by pathogens infection both in hatchery and grow-out ponds, have resulted in low aquaculture productivity and economic losses for the farmers. Therefore, a systematic study exploring relevant omics datasets through a systems biology approach will enable scientist to describe the complexity and characteristics of interactions in the host-pathogen network, leading to identifying new targets or biomarkers for diseases infection caused by bacteria, viruses, and parasites. The use of different approaches and emerging technologies as a powerful tool in obtaining a new knowledge for sustainable aquaculture production has been increasingly applied by many researchers over the years. In this paper, several omics approaches used to assess the fish immune response were reviewed. A brief description is provided for the omics approaches applicable to aquacultures, such as genomics, transcriptomics, proteomics, and metabolomics. Each tool used are contributes to develop better treatment and prevention strategies to overcome aquaculture disease due to the microbial infections. In genomics and transcriptomics analysis, their parallel approach involving gene expression studies play important role in identifying immune-related genes of the host, response to infectious diseases. While for proteomics and metabolomics approaches, these omics will provide information on the biomarker discovery and understanding the immune-related biosynthetic pathway during pathogen infection. Additionally, examples of the integrative analysis of multi-omics tools required for researchers to better understand the biological systems of aquatic animals especially fish, will also be provided.

show abstract

Skin metabolome reveals immune responses in yellow drum Nibea albiflora to Cryptocaryon irritans infection

Cited by 24 publications

References 79 publications

Severe Natural Outbreak of Cryptocaryon irritans in Gilthead Seabream Produces Leukocyte Mobilization and Innate Immunity at the Gill Tissue

Severe Natural Outbreak of Cryptocaryon irritans in Gilthead Seabream Produces Leukocyte Mobilization and Innate Immunity at the Gill Tissue

Arachidonic acid metabolism is elevated inMycoplasma gallisepticumandEscherichia colico-infection and induces LTC4 in serum as the biomarker for detecting poultry respiratory disease

Integration of Omics Tools for Understanding the Fish Immune Response Due to Microbial Challenge

Contact Info

Product

Resources

About