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Botía M, Llamas-Amor E, Cerón JJ, Ramis-Vidal G, López-Juan AL, Benedé JL, Escribano D, Martínez-Subiela S, López-Arjona M. Cortisone in saliva of pigs: validation of a new assay and changes after thermal stress. BMC Vet Res 2024; 20:370. [PMID: 39155386 PMCID: PMC11331735 DOI: 10.1186/s12917-024-04195-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 07/16/2024] [Indexed: 08/20/2024] Open
Abstract
BACKGROUND Cortisone is derived from cortisol through the action of the enzyme 11β-hydroxysteroid dehydrogenase type II, and it has gained importance in recent years as a biomarker of stress. This study aimed to develop and validate an assay for the measurement of cortisone in pig saliva and evaluate whether its concentration varies in stressful situations. For this purpose, a specific immunoassay was developed and validated analytically, and a study was performed to evaluate whether cortisone concentrations in saliva can vary under heat stress conditions. RESULTS The assay proved to be accurate, reliable, and sensitive for the measurement of cortisone in pig saliva. The limit of detection of the assay was set at 0.006 ng/ml, and the lower limit of quantification was 0.023 ng/ml. It also correlated significantly with the results obtained by LC‒MS/MS (P = 0.003; r = 0.64). In addition, the cortisone concentration in animals subjected to prolonged heat stress decreased significantly 15 days after treatment (P < 0.0001). CONCLUSIONS According to these results, cortisone measured by this assay could be used as a tool for the non-invasive evaluation of thermal stress in pig saliva.
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Affiliation(s)
- María Botía
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, 30100, Spain
| | - Eva Llamas-Amor
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, 30100, Spain
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, 30100, Spain.
| | - Guillermo Ramis-Vidal
- Department of Animal Production, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo S/N, Murcia, 30100, Spain
| | - Andreu L López-Juan
- GICAPC Research Group, Department of Analytical Chemistry, University of Valencia, Valencia, Burjassot, 46100, Spain
| | - Juan L Benedé
- GICAPC Research Group, Department of Analytical Chemistry, University of Valencia, Valencia, Burjassot, 46100, Spain
| | - Damián Escribano
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, 30100, Spain
- Department of Animal Production, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo S/N, Murcia, 30100, Spain
| | - Silvia Martínez-Subiela
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, 30100, Spain
| | - Marina López-Arjona
- Department of Animal and Food Science, Universitat Autònoma de Barcelona, Barcelona, Cerdanyola del Vallès, 08193, Spain
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López-Martínez MJ, Ornelas MAS, Amarie RE, Manzanilla EG, Martínez-Subiela S, Tecles F, Tvarijonaviciute A, Escribano D, González-Bulnes A, Cerón JJ, López-Arjona M, Muñoz-Prieto A. Changes in salivary biomarkers of stress, inflammation, redox status, and muscle damage due to Streptococcus suis infection in pigs. BMC Vet Res 2023; 19:100. [PMID: 37525237 PMCID: PMC10388462 DOI: 10.1186/s12917-023-03650-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Streptococcus suis (S. suis) is a Gram-positive bacteria that infects pigs causing meningitis, arthritis, pneumonia, or endocarditis. This increases the mortality in pig farms deriving in severe economic losses. The use of saliva as a diagnostic fluid has various advantages compared to blood, especially in pigs. In this study, it was hypothesized that saliva could reflect changes in different biomarkers related to stress, inflammation, redox status, and muscle damage in pigs with S. suis infection and that changes in these biomarkers could be related to the severity of the disease. RESULTS A total of 56 growing pigs from a farm were selected as infected pigs (n = 28) and healthy pigs (n = 28). Results showed increases in biomarkers related to stress (alpha-amylase and oxytocin), inflammation (haptoglobin, inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4), total protein, S100A8-A9 and S100A12), redox status (advanced oxidation protein producs (AOPP)) and muscle damage (creatine kinase (CK), CK-MB, troponin I, lactate, aspartate aminotransferase, and lactate dehydrogenase). An increase in adenosine deaminase (ADA), procalcitonin, and aldolase in infected animals were also observed, as previously described. The grade of severity of the disease indicated a significant positive correlation with total protein concentrations, aspartate aminotransferase, aldolase, and AOPP. CONCLUSIONS This report revealed that S. suis infection caused variations in analytes related to stress, inflammation, redox status, and muscle damage in the saliva of pigs and these can be considered potential biomarkers for this disease.
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Affiliation(s)
- María José López-Martínez
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Mario Andre S Ornelas
- Pig Development Department, The Irish Food and Agriculture Authority, Teagasc, Moorepark, Fermoy, Co Cork, P61 C996, Ireland
- School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Roxana Elena Amarie
- Department of Agriculture, Food, and Environment, University of Pisa, Pisa, Italy
| | - Edgar Garcia Manzanilla
- Pig Development Department, The Irish Food and Agriculture Authority, Teagasc, Moorepark, Fermoy, Co Cork, P61 C996, Ireland
- School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Silvia Martínez-Subiela
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Fernando Tecles
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Asta Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Damián Escribano
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Antonio González-Bulnes
- Departamento de Producción y Sanidad Animal, Facultad de Veterinaria, Universidad Cardenal Herrera-CEU, CEU Universities, C/Tirant lo Blanc, 7, Alfara del Patriarca, Valencia, 46115, Spain
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Marina López-Arjona
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain
| | - Alberto Muñoz-Prieto
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum, University of Murcia, Espinardo, Murcia, 30100, Spain.
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Escribano D, Contreras-Jodar A, López-Arjona M, Cerón JJ, Fàbrega E, Aymerich P, Dalmau A. Changes in cortisol and cortisone in hair of pigs reared under heat stress conditions. Front Vet Sci 2023; 10:1156480. [PMID: 37533453 PMCID: PMC10393039 DOI: 10.3389/fvets.2023.1156480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/23/2023] [Indexed: 08/04/2023] Open
Abstract
Heat stress accounts for millions of dollars in losses for swine producers worldwide. The aim of the present study was to determine and evaluate cortisol and cortisone in hair as indicators of thermal stress in growing pigs reared under high environmental temperatures. The study was carried out in two independent batches of commercial crosses of Lean Duroc and Pietrain in trials 1 and 2, respectively, during the growing period (from 40 to 100 kg; 81 days in trial 1 and 77 days in trial 2) in the same commercial farm in Spain during the summers of 2020 and 2021. In both cases, four rooms were used. In Trial 1, Room 1 had cooling and 11 pigs per pen; Room 2 had no cooling and 13 pigs per pen; Room 3 had no cooling and 11 pigs per pen, and Room 4 had cooling and 13 pigs per pen. In Trial 2, Rooms 2 and 3 had cooling and rooms 1 and 4 had no cooling, and all of them had 13 pigs per pen. Mean THI value was higher (p < 0.0001) in rooms without cooling systems (75.0 trial 1; 74.9 trial 2) than with them (71.3 trial 1; 71.7 trial 2). A total of four pens per room (16 in total) was selected for analysis of hair corticoids and all pigs inside were sampled at the end of the study. Fifty percent of the pigs were males (castrated and intact in trial 1 and 2, respectively) and 50% females. In total, 44, 52, 44, and 52 pigs, respectively, were sampled in four rooms from the first trial and 52 for each of four rooms in Trial 2. Cortisol concentrations in hair did not show any significant change in relation to cooling-non-cooling in any trial. However, hair cortisone concentration was 172.3 pg./mg and 105.8 pg./mg less (p < 0.001) in pigs housed with cooling systems compared to those without them in Trial 1 and 2, respectively. In addition, the cortisone/cortisol ratio, which is an estimator of the activity of 11β-hydroxysteroid dehydrogenase (11β-HSD) type 2, was also greater in rooms without cooling than in rooms with cooling in both trials (p < 0.0001 and p = 0.0105 for Trials 1 and 2, respectively). In relation to the sex effect, the results showed greater levels in females than in castrated males both in cortisone and the cortisol/cortisone ratio while cortisol hair levels were greater in intact males than in females. Therefore, the use of cortisone and the estimation of 11β-HSD type 2 activity in hair is recommended to evaluate the chronic stress produced by high environmental conditions in pigs instead of using hair cortisol concentrations alone.
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Affiliation(s)
- Damián Escribano
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
- Department of Animal Production, Veterinary School, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
| | | | - Marina López-Arjona
- Department of Animal and Food Science, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence Campus Mare Nostrum, University of Murcia, Murcia, Spain
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Different Types of Glucocorticoids to Evaluate Stress and Welfare in Animals and Humans: General Concepts and Examples of Combined Use. Metabolites 2023; 13:metabo13010106. [PMID: 36677031 PMCID: PMC9865266 DOI: 10.3390/metabo13010106] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/23/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023] Open
Abstract
The main glucocorticoids involved in the stress response are cortisol and cortisone in most mammals and corticosterone in birds and rodents. Therefore, these analytes are currently the biomarkers more frequently used to evaluate the physiological response to a stressful situation. In addition, "total glucocorticoids", which refers to the quantification of various glucocorticoids by immunoassays showing cross-reactivity with different types of glucocorticoids or related metabolites, can be measured. In this review, we describe the characteristics of the main glucocorticoids used to assess stress, as well as the main techniques and samples used for their quantification. In addition, we analyse the studies where at least two of the main glucocorticoids were measured in combination. Overall, this review points out the different behaviours of the main glucocorticoids, depending on the animal species and stressful stimuli, and shows the potential advantages that the measurement of at least two different glucocorticoid types can have for evaluating welfare.
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Ghassemi Nejad J, Ghaffari MH, Ataallahi M, Jo JH, Lee HG. Stress Concepts and Applications in Various Matrices with a Focus on Hair Cortisol and Analytical Methods. Animals (Basel) 2022; 12:ani12223096. [PMID: 36428324 PMCID: PMC9686725 DOI: 10.3390/ani12223096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/12/2022] Open
Abstract
When studying stress in animals, it is important to understand the types of stress and their classification, and how to assess the stress levels in different animal species using different matrices accurately and precisely. The classification of stress types helps to distinguish between good stress (eustress) and bad stress (distress). Hence, first, it is crucial to assess the animal's level of stress in a non-intrusive manner and second to identify the type of stress that is best suited to its environment. Third, it is also important to analyze the obtained samples using a suitable method to increase the validity of stress hormone measurements. Therefore, in this review, we aim to: (1) explain the classification of stress, (2) discuss the wide range of body matrices (e.g., saliva, milk, hair, urine, feces, sweat, fins, etc.) that can be used as samples to evaluate stress levels, as well as their comparisons and limitations, and present the reliable matrices for measuring stress hormones with special emphasis on hair, (3) compare the analytical methods for measuring stress hormones after sample preparation. Despite some literature that does not include hair as a reliable matrix for evaluating stress levels, hair is one of the matrices for measuring long-term stress hormone accumulations. This review discusses some factors that influence the level of stress hormones in the hair. By understanding these issues, the scientific community will not only be able to improve the understanding of stress and biomarker evaluation but also suggest how to deal with the consequences of stress in future research.
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Affiliation(s)
| | | | - Mohammad Ataallahi
- College of Animal Life Sciences, Kangwon National University, Chuncheon 24341, Korea
| | - Jang-Hoon Jo
- Department of Animal Science, Konkuk University, Seoul 05029, Korea
| | - Hong-Gu Lee
- Department of Animal Science, Konkuk University, Seoul 05029, Korea
- Correspondence: ; Tel.: +82-2-450-0523
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Fecal Microbiota and Hair Glucocorticoid Concentration Show Associations with Growth during Early Life in a Pig Model. Nutrients 2022; 14:nu14214639. [PMID: 36364901 PMCID: PMC9655727 DOI: 10.3390/nu14214639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Identifying characteristics associated with fast or slow growth during early life in a pig model will help in the design of nutritional strategies or recommendations during infancy. The aim of this study was to identify if a differential growth during lactation and/or the nursery period may be associated with fecal microbiota composition and fermentation capacity, as well as to leave a print of glucocorticoid biomarkers in the hair. Seventy-five commercial male and female pigs showing extreme growth in the lactation and nursery periods were selected, creating four groups (First, lactation growth, d0−d21; second, nursery growth, d21−d62): Slow_Slow, Slow_Fast, Fast_Slow, and Fast_Fast. At d63 of life, hair and fecal samples were collected. Fast-growing pigs during nursery had higher cortisone concentrations in the hair (p < 0.05) and a tendency to have a lower cortisol-to-cortisone ratio (p = 0.061). Both lactation and nursery growth conditioned the fecal microbiota structure (p < 0.05). Additionally, fast-growing pigs during nursery had higher evenness (p < 0.05). Lactation growth influenced the relative abundance of eight bacterial genera, while nursery growth affected only two bacterial genera (p < 0.05). The fecal butyrate concentration was higher with fast growth in lactation and/or nursery (p < 0.05), suggesting it has an important role in growth, while total SCFA and acetate were related to lactation growth (p < 0.05). In conclusion, piglets’ growth during nursery and, especially, the lactation period was associated with changes in their microbiota composition and fermentation capacity, evidencing the critical role of early colonization on the establishment of the adult microbiota. Additionally, cortisol conversion to cortisone was increased in animals with fast growth, but further research is necessary to determine its implications.
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7
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Saluti G, Ricci M, Castellani F, Colagrande MN, Di Bari G, Vulpiani MP, Cerasoli F, Savini G, Scortichini G, D'Alterio N. Determination of hair cortisol in horses: comparison of immunoassay vs LC-HRMS/MS. Anal Bioanal Chem 2022; 414:8093-8105. [PMID: 36136115 PMCID: PMC9613578 DOI: 10.1007/s00216-022-04343-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/26/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022]
Abstract
The measure of hair cortisol concentration (HCC) is becoming an emerging approach to monitor mid-/long-term stress in animals, so it is more and more important to develop accurate and reliable methods. In the light of this, the aim of the present study was to compare mane HCCs of 47 horses with different managements, by means of an immunoassay (ELISA) and liquid chromatography coupled to hybrid high-resolution mass spectrometry (LC-HRMS/MS). After the washing step, the ground hair was extracted with methanol. The extract was evaporated and redissolved in two different aqueous solutions, depending on the detection technique. The methods were validated according to EMA guideline for bioanalytical method validation, in the range 2–50 pg mg−1 (ELISA) and 1–100 pg mg−1 (LC-HRMS/MS). Satisfactory quantitative performances were obtained for both of the approaches, but this latter demonstrated better precision. The detected concentrations in real samples were encompassing the range 1.3–8.8 pg mg−1 and 2.0–17.9 pg mg−1 by means of LC-HRMS/MS and ELISA, respectively. Overall, HCCs measured with ELISA technique were 1.6 times higher. The overestimation of immunoassay results might be caused by cross-reactivity phenomena of laboratory reagents and other structurally similar hormones present in the mane.
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Affiliation(s)
- Giorgio Saluti
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy.
| | - Matteo Ricci
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Federica Castellani
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Maria Novella Colagrande
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Gabriella Di Bari
- Department of Veterinary Medical Sciences, University of Bologna, via Tolara di Sopra, 50, 40064, Ozzano dell'Emilia, Bologna, Italy
| | - Michele Podaliri Vulpiani
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Francesco Cerasoli
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Giovanni Savini
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Giampiero Scortichini
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
| | - Nicola D'Alterio
- Istituto Zooprofilattico Sperimentale Dell'Abruzzo E del Molise "G. Caporale", Via Campo Boario, 64100, Teramo, Italy
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8
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Impact of ASFV Detergent Inactivation on Biomarkers in Serum and Saliva Samples. Pathogens 2022; 11:pathogens11070750. [PMID: 35889994 PMCID: PMC9316758 DOI: 10.3390/pathogens11070750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
African swine fever (ASF) is a notifiable viral disease of domestic and wild suids. Despite intensive research efforts, the pathogenesis of the disease is still far from being understood. Analysis of biomarkers in different body fluids may supplement traditional pathogenesis studies. As reliable protocols are often established in laboratories with lower biosafety, the reliable inactivation of samples is crucial. The objective of this study was to find a procedure that inactivates the virus while preserving the biomarkers for downstream analyses. To this means, three different inactivation protocols were employed, namely Tergitol-type NP-40 (NP-40), polyoxyethylene-p-t-octylphenol (Triton X-100) and one with 95 °C heating. It could be demonstrated that all samples treated with 0.5% (v/v) concentration of both detergents showed an absence of virus infectivity. The same was true for heated samples. However, heated serum was not suitable for analyses. Next, the impact of treatment on biomarker readouts was assessed. While all protocols had an impact on the detection of biomarkers, correlation was retained. In particular, NP-40 may be the desired detergent for more accurate measurements while achieving efficient virus inactivation. Based on these studies, samples can be reliably inactivated for most biomarker analyses, and thus broader interdisciplinary cooperation is possible.
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9
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Cerón JJ, Contreras-Aguilar MD, Escribano D, Martínez-Miró S, López-Martínez MJ, Ortín-Bustillo A, Franco-Martínez L, Rubio CP, Muñoz-Prieto A, Tvarijonaviciute A, López-Arjona M, Martínez-Subiela S, Tecles F. Basics for the potential use of saliva to evaluate stress, inflammation, immune system, and redox homeostasis in pigs. BMC Vet Res 2022; 18:81. [PMID: 35227252 PMCID: PMC8883734 DOI: 10.1186/s12917-022-03176-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 02/15/2022] [Indexed: 11/30/2022] Open
Abstract
The use of saliva as a biological sample has many advantages, being especially relevant in pigs where the blood collection is highly stressful and painful, both for the animal and the staff in charge of the sampling. Currently one of the main uses of saliva is for diagnosis and detection of infectious diseases, but the saliva can also be used to measure biomarkers that can provide information of stress, inflammation, immune response and redox homeostasis. This review will be focused on the analytes that can be used for such evaluations. Emphasis will be given in providing data of practical use about their physiological basis, how they can be measured, and their interpretation. In addition, some general rules regarding sampling and saliva storage are provided and the concept of sialochemistry will be addressed. There is still a need for more data and knowledge for most of these biomarkers to optimize their use, application, and interpretation. However, this review provides updated data to illustrate that besides the detection of pathogens in saliva, additional interesting applicative information regarding pigs´ welfare and health can be obtained from this fluid. Information that can potentially be applied to other animal species as well as to humans.
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Affiliation(s)
- J J Cerón
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - M D Contreras-Aguilar
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - D Escribano
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain.,Department of Animal Production, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain
| | - S Martínez-Miró
- Department of Animal Production, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain
| | - M J López-Martínez
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - A Ortín-Bustillo
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - L Franco-Martínez
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - C P Rubio
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - A Muñoz-Prieto
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - A Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - M López-Arjona
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
| | - S Martínez-Subiela
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain.
| | - F Tecles
- Interdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, 30100, Murcia, Spain
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10
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López-Arjona M, Tecles F, Mateo SV, Contreras-Aguilar MD, Martínez-Miró S, Cerón JJ, Martínez-Subiela S. A Procedure for Oxytocin Measurement in Hair of Pig: Analytical Validation and a Pilot Application. BIOLOGY 2021; 10:biology10060527. [PMID: 34199172 PMCID: PMC8231541 DOI: 10.3390/biology10060527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 06/05/2021] [Accepted: 06/08/2021] [Indexed: 12/02/2022]
Abstract
Simple Summary Oxytocin is gaining importance in human and animal studies because of its role in welfare stress response, but there is no evidence of oxytocin measurement in hair, which would allow an evaluation of this analyte over a long period of time. For this reason, in this study, a new immunoassay to measure oxytocin in the hair of pigs was developed and validated. In addition, the possible changes in concentrations of oxytocin in hair during the reproductive cycle of pigs were evaluated. The assay was precise and accurate and when applied to the hair extracts of pigs, higher oxytocin values were obtained at days 23 and 59 after farrowing in the winter–spring period. When oxytocin concentrations were compared to cortisone and cortisol, it showed moderate and low correlations, respectively. Based on the results of this report, oxytocin can be measured in the hair of pigs, and changes in concentrations can be detected during a pig’s reproductive cycle. Abstract There is growing interest in oxytocin as a biomarker of stress and welfare. The objective of this study was to develop and validate a procedure based on a highly sensitive immunoassay to measure oxytocin in the hair of pigs. In addition, a pilot study to apply this procedure to evaluate possible changes in concentrations of oxytocin in hair during the reproductive cycle of pigs at different periods of the year was conducted. This procedure used methanol for sample extraction, since it offered better recoveries than acetonitrile, and the immunoassay developed was precise and accurate for the quantification of the oxytocin in the hair. When this procedure was applied to hair collected at different times of the reproductive cycle and season, higher values were found at days 23 and 59 after farrowing in the winter–spring period. In addition, higher oxytocin values in the spring–summer period were found in hair collected 5 days before farrowing compared to winter–spring. Oxytocin in hair showed moderate and low correlations with cortisone and cortisol in hair, respectively. This study represents the first report in which oxytocin was measured in hair and could open new lines for future research about the measurement of oxytocin in pigs and other biological species as a biomarker of stress.
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Affiliation(s)
- Marina López-Arjona
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
| | - Fernando Tecles
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
| | - Sandra V. Mateo
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
| | - María Dolores Contreras-Aguilar
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
| | - Silvia Martínez-Miró
- Departament of Animal Production, Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain;
| | - José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
- Correspondence: ; Tel.: +34-868884722
| | - Silvia Martínez-Subiela
- Interdisciplinary Laboratory of Clinical Analysis of the University of Murcia (Interlab-UMU), Regional Campus of International Excellence ‘Campus Mare Nostrum’, University of Murcia, Campus de Espinardo s/n, 30100 Espinardo, Murcia, Spain; (M.L.-A.); (F.T.); (S.V.M.); (M.D.C.-A.); (S.M.-S.)
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