Reference biochemical values for three cultured Sparid fish: striped sea bream, Lithognathus mormyrus; common dentex, Dentex dentex; and gilthead sea bream, Sparus aurata

Yıldız, Hijran Yavuzcan

doi:10.1007/s00580-008-0743-1

Cited by 17 publications

(13 citation statements)

References 24 publications

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“…1). Glucose levels, besides following the same trend as cortisol levels, are, in general, below the basal values for this species [45]. This could be related to the fish's inability to maintain the same levels of glucose in the blood due to the high demand for glucose mobilization to other tissues.…”

Section: Discussionmentioning

confidence: 73%

“…coping styles, cognitive perception) [39,43,44]. Additionally, values registered for control fish, in every trial, are higher than the reference values reported in the literature for this species [45]. These discrepancies may have several causes, which is why cortisol should be used with caution when evaluating the magnitude of the stress response.…”

Section: Discussionmentioning

confidence: 85%

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Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research

et al. 2020

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Background: Aquaculture is a fast-growing industry and therefore welfare and environmental impact have become of utmost importance. Preventing stress associated to common aquaculture practices and optimizing the fish stress response by quantification of the stress level, are important steps towards the improvement of welfare standards. Stress is characterized by a cascade of physiological responses that, in-turn, induce further changes at the wholeanimal level. These can either increase fitness or impair welfare. Nevertheless, monitorization of this dynamic process has, up until now, relied on indicators that are only a snapshot of the stress level experienced. Promising technological tools, such as proteomics, allow an unbiased approach for the discovery of potential biomarkers for stress monitoring. Within this scope, using Gilthead seabream (Sparus aurata) as a model, three chronic stress conditions, namely overcrowding, handling and hypoxia, were employed to evaluate the potential of the fish protein-based adaptations as reliable signatures of chronic stress, in contrast with the commonly used hormonal and metabolic indicators. Results: A broad spectrum of biological variation regarding cortisol and glucose levels was observed, the values of which rose higher in net-handled fish. In this sense, a potential pattern of stressor-specificity was clear, as the level of response varied markedly between a persistent (crowding) and a repetitive stressor (handling). Gel-based proteomics analysis of the plasma proteome also revealed that net-handled fish had the highest number of differential proteins, compared to the other trials. Mass spectrometric analysis, followed by gene ontology enrichment and protein-protein interaction analyses, characterized those as humoral components of the innate immune system and key elements of the response to stimulus. Conclusions: Overall, this study represents the first screening of more reliable signatures of physiological adaptation to chronic stress in fish, allowing the future development of novel biomarker models to monitor fish welfare.

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Section: Discussionmentioning

confidence: 73%

Section: Discussionmentioning

confidence: 85%

Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research

et al. 2020

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“…Standard reference intervals have been established for some fish species, such as gilthead sea bream, European sea bass, dojo loach, Amur sturgeon and skipjack, yellowfin and bluefin tuna (Svoboda et al 2001;De Pedro et al 2005;Coz-Rakovac et al 2005;Knowles et al 2006;Tavares-Dias and Moraes 2007;Zhou et al 2009;Cao and Wang 2010;Di Marco et al 2011;Peres et al 2013). A scarce number of studies on haematological and biochemical parameters were conducted in sparid fish species, including gilthead sea bream (Sparus aurata) (Yildiz 2009;Peres et al 2013;Fazio et al 2013) common dentex (Dentex dentex) (Yildiz 2009), striped sea bream (Lithognathus mormyrus) (Yildiz 2009), saddled bream (Oblada melanura) (Ferri et al 2011), yellowfin sea bream (Acanthopagrus latus) (Karimi et al 2013;Akbari 2014) and black sea bream (Acanthopagrus schlegeli) (Chang et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Reference intervals for haematological and plasma biochemical parameters in sobaity sea bream juveniles (Sparidentex hasta, Valenciennes 1830)

Mozanzadeh

Yaghoubi²,

Yavari

et al. 2015

Comp Clin Pathol

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Sobaity sea bream (Sparidentex hasta) is distributed in the Western Indian Ocean, Persian Gulf and Oman Sea. For monitoring health status in this species in an aquaculture condition, standard reference values for haematological and plasma biochemical parameters are indispensable. Heparinized blood samples were collected from 143 healthy sobaity sea bream juveniles raised in cylindrical polyethylene tanks with filtered running seawater. Haematologic reference intervals were as follows: red blood cell (RBC) count 1.67-2.2× 10 6 μL −1 , total white blood cell (WBC) count 8.8-14.5× 10 3 μL −1 , lymphocytes 85-96 %, neutrophils 2-6 %, haemoglobin 28-60 g L −1 , haematocrit (Hct) 24.5-33.8 %, mean cell volume (MCV) 126.3-191.7 fL, mean cell haemoglobin (MCH) 14.4-26.5 pg, mean cell haemoglobin concentration (MCHC) 92-180 g L −1 , erythrocyte sedimentation rate (ESR) 1.5-5 mm h −1 and RBC/WBC ratio 119.2-207.5. Plasma chemistry reference intervals were as follows: total protein 3.2-3.9 g dL −1 , albumin 0.3-0.58 g dL −1 , globulin 2.7-3.4 g dL −1 , alkaline phosphatase 444-866 U L −1 , alanine aminotransferase 239-506.5 U L −1 , lipase 95.5-120 U L −1 , amylase 4-8 U L −1 , sodium 173-211 mmol L −1 , chloride 103-136.5 mmol L −1 , potassium 2.7-4.4 mmol L −1 , calcium 2.6-3.1 mmol L −1 , inorganic phosphorus 2.9-5.3 mmol L −1 , osmolality 430-503 mOsm kg −1 , glucose 6.16-7.88 mmol L −1 , cholesterol 4.07-7.7 mmol L −1 , triglyceride 2.22-3.91 mmol L −1 , high-density lipoprotein (HDL) 1.36-2.44 mmol L −1 , low-density lipoprotein (LDL) 0.84-1.19 mmol L −1 and very-low-density lipoprotein (VLDL) 0.27-0.78 mmol L −1 . Values reported here will be useful for evaluating the health status, interpretation and better understanding of various disease signs in sobaity sea bream juveniles.

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“…This is corroborated in this study by the levels of plasma glucose registered in the fish from all trials (Fig.1). Glucose levels, besides following the same trend as cortisol levels, are, in general, below the basal values for this species (45). This could be related to the fish's inability to maintain the same levels of glucose in the blood due to the high demand for glucose mobilization to other tissues.…”

Section: Discussionmentioning

confidence: 73%

“…coping styles, cognitive perception) (39,43,44). Additionally, values registered for control fish, in every trial, are higher than the reference values reported in the literature for this species (45). These discrepancies can have several causes and that is the reason why cortisol should be used with caution when evaluating the magnitude of the stress response.…”

Section: Discussionmentioning

confidence: 86%

Protein changes as robust signatures of fish chronic stress: a proteomics approach in fish welfare research

Magalhães

Schrama

Farinha

et al. 2020

Preprint

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Background: In order to have a greater understanding of fish welfare, sensitive technological tools, such as proteomics, may assist the aquaculture industry as it allows an unbiased approach for the discovery of potential biomarkers for stress monitoring. Stress is characterized by a cascade of physiological responses that end-up inducing further changes at the whole-animal level that might either increase fitness or impair welfare. Monitorization of this dynamic process, up till now relies on indicators that are only a snapshot of the stress level experienced. Within this scope, using G ilthead seabream ( Sparus aurata ) as model, three chronic stress conditions, namely overcrowding, handling and hypoxia, were employed to evaluate the potential of the fish protein-based adaptations as reliable signatures of chronic stress, in contrast with the commonly used hormonal and metabolic indicators. Results: A large spectrum of biological variation regarding cortisol and glucose levels was observed, which values rose higher in net handled fish. In this sense, a potential pattern of stressor-specificity was evidenced since the magnitude of response and tolerance varied markedly from a permanent (crowding) to a repetitive stressor (handling). Gel-based proteomics analysis of the plasma proteome also revealed that net handled fish had the highest number of differential proteins, compared to the other trials . M ass spectrometric analysis, followed by gene ontology enrichment and protein-protein interaction analyses, characterized those as humoral components of the innate immune system and key elements on the response to stimulus. Conclusions: Overall, this study represents the first screening of more reliable signatures of physiological adaptation to chronic stress in fish, allowing the future development of novel biomarker models to monitor fish welfare.

show abstract

Reference biochemical values for three cultured Sparid fish: striped sea bream, Lithognathus mormyrus; common dentex, Dentex dentex; and gilthead sea bream, Sparus aurata

Cited by 17 publications

References 24 publications

Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research

Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research

Reference intervals for haematological and plasma biochemical parameters in sobaity sea bream juveniles (Sparidentex hasta, Valenciennes 1830)

Protein changes as robust signatures of fish chronic stress: a proteomics approach in fish welfare research

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