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Kemoun G, Weiss E, El Houari L, Bonny V, Goury A, Caliez O, Picard B, Rudler M, Rhaiem R, Rebours V, Mayaux J, Bachet JB, Belin L, Demoule A, Decavèle M. Clinical features and outcomes of patients with pancreatic cancer requiring unplanned medical ICU admission: A retrospective multicenter study. Dig Liver Dis 2024; 56:514-521. [PMID: 37718226 DOI: 10.1016/j.dld.2023.08.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/27/2023] [Accepted: 08/17/2023] [Indexed: 09/19/2023]
Abstract
BACKGROUND We sought to describe the reasons for intensive care unit (ICU) admission and outcomes of patients with pancreatic cancer requiring unplanned medical ICU admission. PATIENTS AND METHODS Retrospective cohort study in five ICUs from 2009 to 2020. All patients with pancreatic cancer admitted to the ICU were included. Patients having undergone recent surgery were excluded (< 4 weeks). RESULTS 269 patients were included. Tumors were mainly adenocarcinoma (90%). Main reason for admission was sepsis/septic shock (32%) with a biliary tract infection in 44 (51%) patients. Second reason for admission was gastrointestinal bleeding (28%). ICU and 3-month mortality rates were 26% and 59% respectively. Performance status 3-4 (odds ratio OR 3.58), disease status (responsive/stable -ref-, newly diagnosed OR 3.25, progressive OR 5.99), mechanical ventilation (OR 8.03), vasopressors (OR 4.19), SAPS 2 (OR 1.69) and pH (OR 0.02) were independently associated with ICU mortality. Performance status 3-4 (Hazard ratio HR 1.96) and disease status (responsive/stable -ref-, newly diagnosed HR 2.67, progressive HR 4.14) were associated with 3-month mortality. CONCLUSION Reasons for ICU admissions of pancreatic cancer patients differ from those observed in other solid cancer. Short- and medium-term mortality are strongly influenced by performance status and disease status at ICU admission.
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Affiliation(s)
- G Kemoun
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France.
| | - E Weiss
- AP-HP Nord, Université de Paris, Hôpital Beaujon, Département d'anesthésie-réanimation, Clichy, France; Université de Paris, UMRS1149, Centre de recherche sur l'inflammation, Liver Intensive Care Group of Europe (LICAGE), France
| | - L El Houari
- AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Département de Santé Publique, F-75013, Paris, France
| | - V Bonny
- AP-HP Sorbonne Université, site Saint-Antoine, Service de Médecine Intensive - Réanimation, Paris, France
| | - A Goury
- Unité de médecine intensive et réanimation polyvalente, Hôpital Robert Debré, CHU de Reims, France
| | - O Caliez
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service d'hépato-gastro-entérologie, Paris, France
| | - B Picard
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France
| | - M Rudler
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service d'hépato-gastro-entérologie, Paris, France; Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - R Rhaiem
- Service de chirurgie hépatobiliaire, pancréatique et oncologique digestive, Hôpital Robert Debré, CHU de Reims, France
| | - V Rebours
- AP-HP Nord, Université de Paris, Hôpital Beaujon, Service de Pancréatologie, Clichy, France; Université de Paris, INSERM, UMR 1149, pancreatic rare diseases (PaRaDis), centre de référence de maladies rares, Clichy, France
| | - J Mayaux
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France
| | - J B Bachet
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service d'hépato-gastro-entérologie, Paris, France
| | - L Belin
- Sorbonne-Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP. Sorbonne Université, Hôpital Pitié-Salpêtrière, Département de Santé Publique, F-75013, Paris, France
| | - A Demoule
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France; Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
| | - M Decavèle
- AP-HP Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France; Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
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2
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Soulat J, Picard B, Monteils V. Influence of cattle category and slaughter age on Charolais-breed carcase and meat traits. Italian Journal of Animal Science 2023. [DOI: 10.1080/1828051x.2023.2182720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Affiliation(s)
- Julien Soulat
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Brigitte Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Valérie Monteils
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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Picard B, Cougoul A, Couvreur S, Bonnet M. Relationships between the abundance of 29 proteins and several meat or carcass quality traits in two bovine muscles revealed by a combination of univariate and multivariate analyses. J Proteomics 2023; 273:104792. [PMID: 36535620 DOI: 10.1016/j.jprot.2022.104792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022]
Abstract
We aimed to evaluate the relationships between meat or carcass properties and the abundance of 29 proteins quantified in two muscles, Longissimus thoracis and Rectus abdominis, of Rouge des Prés cows. The relative abundance of the proteins was evaluated using a high throughput immunological method: the Reverse Phase Protein array. A combination of univariate and multivariate analyses has shown that small HSPs (CRYAB, HSPB6), fast glycolytic metabolic and structural proteins (MYH1, ENO3, ENO1, TPI1) when assayed both in RA and LT, were related to meat tenderness, marbling, ultimate pH, as well as carcass fat-to-lean ratio or conformation score. In addition to some small HSP, ALDH1A1 and TRIM72 contributed to the molecular signature of muscular and carcass adiposity. MYH1 and HSPA1A were among the top proteins related to carcass traits. We thus shortened the list to 10 putative biomarkers to be considered in future tools to manage both meat and carcass properties. SIGNIFICANCE: In three aspects this manuscript is notable. First, this is the first proteomics study that aims to evaluate putative biomarkers of both meat and carcass qualities that are of economic importance for the beef industry. Second, the relationship between the abundance of proteins and the carcass or meat traits were evaluated by a combination of univariate and multivariate analyses on 48 cows that are representative of the biological variability of the traits. Third, we provide a short list of ten proteins to be tested in a larger population to feed the pipeline of biomarker discovery.
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Affiliation(s)
- Brigitte Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Arnaud Cougoul
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Sébastien Couvreur
- École Supérieure d'Agricultures, USC ESA-INRAE 1481 Systèmes d'Elevage, 55 rue Rabelais - BP 30748 - 49007 Angers Cedex 01, France
| | - Muriel Bonnet
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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4
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Abbassi F, Gero D, Muller X, Bueno A, Figiel W, Robin F, Laroche S, Picard B, Shankar S, Ivanics T, van Reeven M, van Leeuwen OB, Braun HJ, Monbaliu D, Breton A, Vachharajani N, Bonaccorsi Riani E, Nowak G, McMillan RR, Abu-Gazala S, Nair A, Bruballa R, Paterno F, Weppler Sears D, Pinna AD, Guarrera JV, de Santibañes E, de Santibañes M, Hernandez-Aleja R, Olthoff K, Ghobrial RM, Ericzon BG, Ciccarelli O, Chapman WC, Mabrut JY, Pirenne J, Müllhaupt B, Ascher NL, Porte RJ, de Meier VE, Polak WG, Sapisochin G, Attia M, Weiss E, Adam RA, Cherqui D, Boudjema K, Zienewicz K, Jassem W, Puhan M, Dutkowski P, Clavien PA. Novel benchmark values for redo liver transplantation – does the outcome justify the effort? Br J Surg 2022. [DOI: 10.1093/bjs/znac178.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Objective
In the era of organ shortage, redo liver transplantation (reLT) is frequently discussed in terms of expected poor outcome, high cost and therefore wasteful resources. However, there is a lack of benchmark data to reliably assess outcomes after reLT. The aim of this study was to define the ideal reLT case, and to establish clinically relevant benchmark values for best achievable outcome in reLT.
Methods
We collected data on reLT between January 2010 and December 2018 from 22 high volume transplant centers on three continents. Benchmark cases were defined as recipients with model of end-stage liver disease score <=25, absence of portal vein thrombosis, no mechanical ventilation before surgery, receiving a graft from a donor after brain death. In addition, early reLT including those for primary non-function (PNF) were excluded. Clinically relevant endpoints covering intra- and postoperative course were selected and complications were graded by severity using the Clavien-Dindo classification and the comprehensive complication index (CCI). The benchmark cutoff for each outcome was derived from the 75th percentile of the median values of all benchmark centers, indicating the “best achievable” result. To assess the utility of the newly established benchmark values, we analyzed patients who received reLT for PNF (non-benchmark patients).
Results
Out of 1110 reLT 413 (37.2%) qualified as benchmark cases. Benchmark values included: Length of intensive care unit and hospital stay: <=6 and <=24 days, respectively; Clavien-Dindo grade >=3a complications and the CCI at 1 year: <=76% and <=72.2, respectively; in-hospital and 1-year mortality rates: <=14.0% and <=14.3%, respectively. The cutoffs for transplant-specific complications such as biliary complications at 1 year, outflow problems at 1 year and hepatic artery thrombosis at discharge were <=27.3%, <=2.5% and <=4.8%, respectively. Patients receiving a reLT for PNF showed mean outcome values all outside the reLT benchmark values. In-hospital mortality rate was 34.4% and the mean CCI at discharge 68.8.
Conclusion
ReLT remains associated with high morbidity and mortality. The availability of benchmark values for outcome parameters of reLT may serve for comparison in any future analyses of individuals, patient groups, or centers, but also in the evaluation of new therapeutic strategies and principles.
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Affiliation(s)
- F Abbassi
- Department of Surgery and Transplantation, University Hospital Zurich , Zurich, Switzerland
| | - D Gero
- Department of Surgery and Transplantation, University Hospital Zurich , Zurich, Switzerland
| | - X Muller
- Department of General, Abdominal and Transplant Surgery, Croix-Rousse Hospital , Lyon, France
| | - A Bueno
- Department of Liver Studies, Kings’ College Hospital , London, United Kingdom
| | - W Figiel
- Department of General, Abdominal and Transplant Surgery, Medical University of Warsaw , Warsaw, Poland
| | - F Robin
- Department of HPB Surgery and Transplantation, University Hospital Rennes , Rennes, France
| | - S Laroche
- Department of Surgery and Transplanation at the HPB Center, Paul Brousse Hospital , Villejuif, France
| | - B Picard
- Department of Anesthesiology and Critical Care, Beaujon Teaching Hospital , Clinchy, France
| | - S Shankar
- Department of Abdominal Transplant and Hepatobiliary Surgery, The Leeds Teaching Hospital trust , Leeds, United Kingdom
| | - T Ivanics
- University Health Network Toronto Multi-Organ Transplant Program, , Toronto, Canada
| | - M van Reeven
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Center Rotterdam , Rotterdam, The Netherlands
| | - O B van Leeuwen
- Division of HPB Surgery and Liver Transplantation, University of Groningen and University Medical Center Groningen , Groningen, The Netherlands
| | - H J Braun
- Division of Transplant Surgery, University of California , San Francisco, USA
| | - D Monbaliu
- Department of Abdominal Transplant Surgery and Transplant Coordination, University Hospitals Leuven , Leuven, Belgium
| | - A Breton
- Department of General, Abdominal and Transplant Surgery, Croix-Rousse Hospital , Lyon, France
| | - N Vachharajani
- Department of Surgery, Division of Abdominal Transplantation, Washington University in St. Louis School of Medicine , St. Louis, USA
| | - E Bonaccorsi Riani
- Department of Abdominal and Transplant Surgery, University Hospital St. Luc , Brussels, Belgium
| | - G Nowak
- Department of Transplantation Surgery, Karolinska University Hospital Huddinge , Stockholm, Sweden
| | - R R McMillan
- Weill Cornell Medical Center, Houston Methodist Hospital , Houston, USA
| | - S Abu-Gazala
- Department of Surgery, Penn Transplant Institute, Hospital of the University of Pennsylvania , Philadelphia, USA
| | - A Nair
- Division of Transplantation and Hepatobiliary Surgery, University of Rochester , Rochester, USA
| | - R Bruballa
- Hospital Italiano de Buenos Aires HPB and Liver Transplant Unit, , Buenos Aires, Brazil
| | - F Paterno
- Division of Liver Transplant, Rutgers New Jersey Medical School University Hospital , Newark, USA
| | - D Weppler Sears
- Department of Abdominal and Transplant Surgery , Cleveland Clinic Florida, Weston, USA
| | - A D Pinna
- Department of Abdominal and Transplant Surgery , Cleveland Clinic Florida, Weston, USA
| | - J V Guarrera
- Division of Liver Transplant, Rutgers New Jersey Medical School University Hospital , Newark, USA
| | - E de Santibañes
- Hospital Italiano de Buenos Aires HPB and Liver Transplant Unit, , Buenos Aires, Brazil
| | - M de Santibañes
- Hospital Italiano de Buenos Aires HPB and Liver Transplant Unit, , Buenos Aires, Brazil
| | - R Hernandez-Aleja
- Division of Transplantation and Hepatobiliary Surgery, University of Rochester , Rochester, USA
| | - K Olthoff
- Department of Surgery, Penn Transplant Institute, Hospital of the University of Pennsylvania , Philadelphia, USA
| | - R M Ghobrial
- Weill Cornell Medical Center, Houston Methodist Hospital , Houston, USA
| | - B-G Ericzon
- Department of Transplantation Surgery, Karolinska University Hospital Huddinge , Stockholm, Sweden
| | - O Ciccarelli
- Department of Abdominal and Transplant Surgery, University Hospital St. Luc , Brussels, Belgium
| | - W C Chapman
- Department of Surgery, Division of Abdominal Transplantation, Washington University in St. Louis School of Medicine , St. Louis, USA
| | - J-Y Mabrut
- Department of General, Abdominal and Transplant Surgery, Croix-Rousse Hospital , Lyon, France
| | - J Pirenne
- Department of Abdominal Transplant Surgery and Transplant Coordination, University Hospitals Leuven , Leuven, Belgium
| | - B Müllhaupt
- Department of Gastroenterology and Hepatology, University Hospital Zurich , Zurich, Switzerland
| | - N L Ascher
- Division of Transplant Surgery, University of California , San Francisco, USA
| | - R J Porte
- Division of HPB Surgery and Liver Transplantation, University of Groningen and University Medical Center Groningen , Groningen, The Netherlands
| | - V E de Meier
- Division of HPB Surgery and Liver Transplantation, University of Groningen and University Medical Center Groningen , Groningen, The Netherlands
| | - W G Polak
- Department of Surgery, Division of HPB and Transplant Surgery, Erasmus MC Transplant Institute, University Medical Center Rotterdam , Rotterdam, The Netherlands
| | - G Sapisochin
- University Health Network Toronto Multi-Organ Transplant Program, , Toronto, Canada
| | - M Attia
- Department of Abdominal Transplant and Hepatobiliary Surgery, The Leeds Teaching Hospital trust , Leeds, United Kingdom
| | - E Weiss
- Department of Anesthesiology and Critical Care, Beaujon Teaching Hospital , Clinchy, France
| | - R A Adam
- Department of Surgery and Transplanation at the HPB Center, Paul Brousse Hospital , Villejuif, France
| | - D Cherqui
- Department of Surgery and Transplanation at the HPB Center, Paul Brousse Hospital , Villejuif, France
| | - K Boudjema
- Department of HPB Surgery and Transplantation, University Hospital Rennes , Rennes, France
| | - K Zienewicz
- Department of General, Abdominal and Transplant Surgery, Medical University of Warsaw , Warsaw, Poland
| | - W Jassem
- Department of Liver Studies, Kings’ College Hospital , London, United Kingdom
| | - M Puhan
- Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University Hospital Zurich , Zurich, Switzerland
| | - P Dutkowski
- Department of Surgery and Transplantation, University Hospital Zurich , Zurich, Switzerland
| | - P-A Clavien
- Department of Surgery and Transplantation, University Hospital Zurich , Zurich, Switzerland
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Nassar R, Vernus B, Carnac G, Fouret G, Goustard B, Casas F, Tintignac L, Cassar-Malek I, Picard B, Seiliez I, Brioche T, Koechlin-Ramonatxo C, Bertrand-Gaday C, Hamade A, Najjar F, Chabi B, Bonnieu A. Myostatin gene inactivation increases post-mortem calpain-dependent muscle proteolysis in mice. Meat Sci 2021; 185:108726. [PMID: 34973590 DOI: 10.1016/j.meatsci.2021.108726] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/13/2022]
Abstract
Myostatin deficiency leads to extensive skeletal muscle hypertrophy, but its consequence on post-mortem muscle proteolysis is unknown. Here, we compared muscle myofibrillar protein degradation, and autophagy, ubiquitin-proteasome and Ca2+-dependent proteolysis relative to the energetic and redox status in wild-type (WT) and myostatin knock-out mice (KO) during early post-mortem storage. KO muscles showed higher degradation of myofibrillar proteins in the first 24 h after death, associated with preserved antioxidant status, compared with WT muscles. Analysis of key autophagy and ubiquitin-proteasome system markers indicated that these two pathways were not upregulated in post-mortem muscle (both genotypes), but basal autophagic flux and ATP content were lower in KO muscles. Proteasome and caspase activities were not different between WT and KO mice. Conversely, calpain activity was higher in KO muscles, concomitantly with higher troponin T and desmin degradation. Altogether, these results suggest that calpains but not the autophagy, proteasome and caspase systems, explain the difference in post-mortem muscle protein proteolysis between both genotypes.
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Affiliation(s)
- Rim Nassar
- DMEM, University of Montpellier, INRAE, Montpellier, France; Laboratoire d'Innovation thérapeutique, Lebanese University, Beyrouth, Liban
| | - Barbara Vernus
- DMEM, University of Montpellier, INRAE, Montpellier, France
| | - Gilles Carnac
- PHYMEDEXP, University of Montpellier, CNRS, INSERM, CHRU, Montpellier, France
| | - Gilles Fouret
- DMEM, University of Montpellier, INRAE, Montpellier, France
| | | | - François Casas
- DMEM, University of Montpellier, INRAE, Montpellier, France
| | - Lionel Tintignac
- Département de Biomédecine, Basel University, Basel, Switzerland
| | - Isabelle Cassar-Malek
- University Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Brigitte Picard
- University Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Iban Seiliez
- Université de Pau et des Pays de l'Adour, E2S UPPA, INRAE, UMR1419 Nutrition Métabolisme et Aquaculture, F-64310 Saint-Pée-sur-Nivelle, France
| | - Thomas Brioche
- DMEM, University of Montpellier, INRAE, Montpellier, France
| | | | | | - Aline Hamade
- Laboratoire d'Innovation thérapeutique, Lebanese University, Beyrouth, Liban
| | - Fadia Najjar
- Laboratoire d'Innovation thérapeutique, Lebanese University, Beyrouth, Liban
| | - Béatrice Chabi
- DMEM, University of Montpellier, INRAE, Montpellier, France
| | - Anne Bonnieu
- DMEM, University of Montpellier, INRAE, Montpellier, France.
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Gagaoua M, Warner RD, Purslow P, Ramanathan R, Mullen AM, López-Pedrouso M, Franco D, Lorenzo JM, Tomasevic I, Picard B, Troy D, Terlouw EMC. Dark-cutting beef: A brief review and an integromics meta-analysis at the proteome level to decipher the underlying pathways. Meat Sci 2021; 181:108611. [PMID: 34157500 DOI: 10.1016/j.meatsci.2021.108611] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/07/2021] [Accepted: 06/14/2021] [Indexed: 01/06/2023]
Abstract
Comprehensive characterization of the post-mortem muscle proteome defines a fundamental goal in meat proteomics. During the last decade, proteomics tools have been applied in the field of foodomics to help decipher factors underpinning meat quality variations and to enlighten us, through data-driven methods, on the underlying mechanisms leading to meat quality defects such as dark-cutting meat known also as dark, firm and dry (DFD) meat. In cattle, several proteomics studies have focused on the extent to which changes in the post-mortem muscle proteome relate to dark-cutting beef development. The present data-mining study firstly reviews proteomics studies which investigated dark-cutting beef, and secondly, gathers the protein biomarkers that differ between dark-cutting versus beef with normal-pH in a unique repertoire. A list of 130 proteins from eight eligible studies was curated and mined through bioinformatics for Gene Ontology annotations, molecular pathways enrichments, secretome analysis and biological pathways comparisons to normal beef color from a previous meta-analysis. The major biological pathways underpinning dark-cutting beef at the proteome level have been described and deeply discussed in this integromics study.
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Affiliation(s)
- Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland.
| | - Robyn D Warner
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia
| | - Peter Purslow
- Centro de Investigacion Veterinaria de Tandil (CIVETAN), Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil B7001BBO, Argentina
| | - Ranjith Ramanathan
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK 74078, USA
| | - Anne Maria Mullen
- Food Quality and Sensory Science Department, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Maria López-Pedrouso
- Department of Zoology, Genetics and Physical Anthropology, University of Santiago de Compostela, 15872 Santiago de Compostela, Spain
| | - Daniel Franco
- Centro Tecnológico de la Carne de Galicia, rúa Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas 32900, Ourense, Spain
| | - José M Lorenzo
- Centro Tecnológico de la Carne de Galicia, rúa Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas 32900, Ourense, Spain; Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, 32004 Ourense, Spain
| | - Igor Tomasevic
- University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11080, Belgrade, Serbia
| | - Brigitte Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Declan Troy
- Food Quality and Sensory Science Department, Teagasc Food Research Centre, Ashtown, Dublin 15, Ireland
| | - E M Claudia Terlouw
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
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7
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Soulat J, Monteils V, Ellies-Oury MP, Papillon S, Picard B. What is the impact of the rearing management applied during the heifers' whole life on the toughness of five raw rib muscles in relation with carcass traits? Meat Sci 2021; 179:108533. [PMID: 33975261 DOI: 10.1016/j.meatsci.2021.108533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 04/26/2021] [Accepted: 04/30/2021] [Indexed: 02/04/2023]
Abstract
The aims of this study were, analysing the effects of rearing managements, carcass traits, and muscle type (M. complexus [CP], M. infraspinatus [IF], M. longissimus [LM], M. rhomboideus [RH], and M. serratus ventralis [SV]) on toughness of raw meat; developing prediction models to act on their toughness. According to our results obtained on the data of 77 heifers, the IF raw muscle was the toughest and appeared the most sensitive to a change in the rearing management. The four other raw muscles had a similar toughness within heifers from the same rearing management. The five raw muscles were less tough when the carcass was heavier and had higher dressing percentage and conformation. The 3 models explained about 40% of the variability observed. Our models showed that it is possible to improve the potential tenderness of raw meat, acting on: age of the heifer's mother, growth rate during the growth and fattening periods, slaughter age, carcass weight and temperature 24 h post-mortem.
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Affiliation(s)
- J Soulat
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - V Monteils
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - M-P Ellies-Oury
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France; Bordeaux Science Agro, 1 Cours du Général de Gaulle, CS 40201, F-33175 Gradignan, France
| | - S Papillon
- Bordeaux Science Agro, 1 Cours du Général de Gaulle, CS 40201, F-33175 Gradignan, France
| | - B Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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8
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Bons J, Husson G, Chion M, Bonnet M, Maumy-Bertrand M, Delalande F, Cianférani S, Bertrand F, Picard B, Carapito C. Combining label-free and label-based accurate quantifications with SWATH-MS: Comparison with SRM and PRM for the evaluation of bovine muscle type effects. Proteomics 2021; 21:e2000214. [PMID: 33733615 DOI: 10.1002/pmic.202000214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 03/06/2021] [Accepted: 03/08/2021] [Indexed: 11/11/2022]
Abstract
Mass spectrometry has proven to be a valuable tool for the accurate quantification of proteins. In this study, the performances of three targeted approaches, namely selected reaction monitoring (SRM), parallel reaction monitoring (PRM) and sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS), to accurately quantify ten potential biomarkers of beef meat tenderness or marbling in a cohort of 64 muscle samples were evaluated. So as to get the most benefit out of the complete MS2 maps that are acquired in SWATH-MS, an original label-free quantification method to estimate protein amounts using an I-spline regression model was developed. Overall, SWATH-MS outperformed SRM in terms of sensitivity and dynamic range, while PRM still performed the best, and all three strategies showed similar quantification accuracies and precisions for the absolute quantification of targets of interest. This targeted picture was extended by 585 additional proteins for which amounts were estimated using the label-free approach on SWATH-MS; thus, offering a more global profiling of muscle proteomes and further insights into muscle type effect on candidate biomarkers of beef meat qualities as well as muscle metabolism.
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Affiliation(s)
- Joanna Bons
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France
| | - Gauthier Husson
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France
| | - Marie Chion
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France.,Institut de Recherche Mathématique Avancée, Université de Strasbourg, Strasbourg, France
| | - Muriel Bonnet
- Université Clermont Auvergne, Saint-Genès-Champanelle, France
| | - Myriam Maumy-Bertrand
- Institut de Recherche Mathématique Avancée, Université de Strasbourg, Strasbourg, France
| | - François Delalande
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France
| | - Frédéric Bertrand
- Laboratoire de Modélisation et Sûreté des Systèmes, Institut Charles Delaunay, Université de Technologie de Troyes, Troyes, France
| | - Brigitte Picard
- Université Clermont Auvergne, Saint-Genès-Champanelle, France
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse BioOrganique, IPHC UMR7178, CNRS, Université de Strasbourg, Strasbourg, France
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Vinet A, Bouyer C, Forestier L, Oulmouden A, Blanquet V, Picard B, Cassar-Malek I, Bonnet M, Rocha D, Renand G. The Blonde d'Aquitaine T3811>G3811 mutation in the myostatin gene: association with growth, carcass, and muscle phenotypes in veal calves. J Anim Sci 2021; 99:6129922. [PMID: 33624102 DOI: 10.1093/jas/skab039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 02/02/2021] [Indexed: 11/12/2022] Open
Abstract
The mutation T3811 → G3811 (TG3811) discovered in the myostatin gene of the Blonde d'Aquitaine breed is suspected of contributing to the outstanding muscularity of this breed. An experiment was designed to estimate the effect of this mutation in an F2 and back-cross Blonde d'Aquitaine × Holstein population. By genotyping all known mutations in the myostatin gene, it was ensured that the TG3811 mutation was indeed the only known mutation segregating in this population. Fifty-six calves (43 F2, 13 back-cross) were intensively fattened and slaughtered at 24.0 ± 1.4 wk of age. The effects of the mutation were estimated by comparing the calves with the [T/T] (n = 18), [T/G] (n = 30), and [G/G] (n = 8) genotypes. Highly significant substitution effects (P < 0.001), above + 1.2 phenotypic SD, were shown on carcass yield and muscularity scores. Birth weight (P < 0.001) was positively affected by the mutation (+0.8 SD) but not growth rate (P = 0.97), while carcass length (P = 0.03), and fatness (P ≤ 0.03) were negatively affected (-0.5 to -0.7 SD). The characteristics of the Triceps brachii muscle were affected by the mutation (P < 0.001), with lower ICDH activity (oxidative) and a higher proportion of myosin type 2X muscle fibers (fast twitch). The effects of the TG3811 mutation were similar to those of other known myostatin mutations, although the Blonde d'Aquitaine animals, which are predominantly [G/G] homozygous, do not exhibit extreme double muscling.
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Affiliation(s)
- Aurélie Vinet
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Claire Bouyer
- INRAE, Université de Limoges, UMR Génomique Animale, Amélioration, Adaptation, Limoges, France
| | - Lionel Forestier
- INRAE, Université de Limoges, UMR Génomique Animale, Amélioration, Adaptation, Limoges, France
| | - Ahmad Oulmouden
- INRAE, Université de Limoges, UMR Génomique Animale, Amélioration, Adaptation, Limoges, France
| | - Véronique Blanquet
- INRAE, Université de Limoges, UMR Génomique Animale, Amélioration, Adaptation, Limoges, France
| | - Brigitte Picard
- INRAE, Université Clermont Auvergne, Vetagro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Isabelle Cassar-Malek
- INRAE, Université Clermont Auvergne, Vetagro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Muriel Bonnet
- INRAE, Université Clermont Auvergne, Vetagro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Dominique Rocha
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
| | - Gilles Renand
- Université Paris-Saclay, INRAE, AgroParisTech, UMR Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France
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10
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Listrat A, Gagaoua M, Andueza D, Gruffat D, Normand J, Mairesse G, Picard B, Hocquette JF. What are the drivers of beef sensory quality using metadata of intramuscular connective tissue, fatty acids and muscle fiber characteristics? Livest Sci 2020. [DOI: 10.1016/j.livsci.2020.104209] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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11
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Gagaoua M, Terlouw EMC, Mullen AM, Franco D, Warner RD, Lorenzo JM, Purslow PP, Gerrard D, Hopkins DL, Troy D, Picard B. Molecular signatures of beef tenderness: Underlying mechanisms based on integromics of protein biomarkers from multi-platform proteomics studies. Meat Sci 2020; 172:108311. [PMID: 33002652 DOI: 10.1016/j.meatsci.2020.108311] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/09/2020] [Accepted: 09/14/2020] [Indexed: 12/15/2022]
Abstract
Over the last two decades, proteomics have been employed to decipher the underlying factors contributing to variation in the quality of muscle foods, including beef tenderness. One such approach is the application of high-throughput protein analytical platforms in the identification of meat quality biomarkers. To broaden our understanding about the biological mechanisms underpinning meat tenderization across a large number of studies, an integromics study was performed to review the current status of protein biomarker discovery targeting beef tenderness. This meta-analysis is the first to gather and propose a comprehensive list of 124 putative protein biomarkers derived from 28 independent proteomics-based experiments, from which 33 robust candidates were identified worthy of evaluation using targeted or untargeted data-independent acquisition proteomic methods. We further provide an overview of the interconnectedness of the main biological pathways impacting tenderness determination after multistep analyses including Gene Ontology annotations, pathway and process enrichment and literature mining, and specifically discuss the major proteins and pathways most often reported in proteomics research.
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Affiliation(s)
- Mohammed Gagaoua
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland.
| | - E M Claudia Terlouw
- INRAE, Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Anne Maria Mullen
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Daniel Franco
- Centro Tecnológico de la Carne de Galicia, rúa Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas 32900, Ourense, Spain
| | - Robyn D Warner
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia
| | - José M Lorenzo
- Centro Tecnológico de la Carne de Galicia, rúa Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas 32900, Ourense, Spain; Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, 32004 Ourense, Spain
| | - Peter P Purslow
- Centro de Investigacion Veterinaria de Tandil (CIVETAN), Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil B7001BBO, Argentina
| | - David Gerrard
- Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - David L Hopkins
- NSW DPI, Centre for Red Meat and Sheep Development, Cowra, NSW 2794, Australia
| | - Declan Troy
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - Brigitte Picard
- INRAE, Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
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12
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Gagaoua M, Bonnet M, Picard B. Protein Array-Based Approach to Evaluate Biomarkers of Beef Tenderness and Marbling in Cows: Understanding of the Underlying Mechanisms and Prediction. Foods 2020; 9:foods9091180. [PMID: 32858893 PMCID: PMC7554754 DOI: 10.3390/foods9091180] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 12/14/2022] Open
Abstract
This study evaluated the potential of a panel of 20 protein biomarkers, quantified by Reverse Phase Protein Array (RPPA), to explain and predict two important meat quality traits, these being beef tenderness assessed by Warner-Bratzler shear force (WBSF) and the intramuscular fat (IMF) content (also termed marbling), in a large database of 188 Protected Designation of Origin (PDO) Maine-Anjou cows. Thus, the main objective was to move forward in the progression of biomarker-discovery for beef qualities by evaluating, at the same time for the two quality traits, a list of candidate proteins so far identified by proteomics and belonging to five interconnected biological pathways: (i) energy metabolic enzymes, (ii) heat shock proteins (HSPs), (iii) oxidative stress, (iv) structural proteins and (v) cell death and protein binding. Therefore, three statistical approaches were applied, these being Pearson correlations, unsupervised learning for the clustering of WBSF and IMF into quality classes, and Partial Least Squares regressions (PLS-R) to relate the phenotypes with the 20 biomarkers. Irrespective of the statistical method and quality trait, seven biomarkers were related with both WBSF and IMF, including three small HSPs (CRYAB, HSP20 and HSP27), two metabolic enzymes from the oxidative pathway (MDH1: Malate dehydrogenase and ALDH1A1: Retinal dehydrogenase 1), the structural protein MYH1 (Myosin heavy chain-IIx) and the multifunctional protein FHL1 (four and a half LIM domains 1). Further, three more proteins were retained for tenderness whatever the statistical method, among which two were structural proteins (MYL1: Myosin light chain 1/3 and TNNT1: Troponin T, slow skeletal muscle) and one was glycolytic enzyme (ENO3: β-enolase 3). For IMF, two proteins were, in this trial, specific for marbling whatever the statistical method: TRIM72 (Tripartite motif protein 72, negative) and PRDX6 (Peroxiredoxin 6, positive). From the 20 proteins, this trial allowed us to qualify 10 and 9 proteins respectively as strongly related with beef tenderness and marbling in PDO Maine-Anjou cows.
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13
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Bonnet M, Soulat J, Bons J, Léger S, De Koning L, Carapito C, Picard B. Quantification of biomarkers for beef meat qualities using a combination of Parallel Reaction Monitoring- and antibody-based proteomics. Food Chem 2020; 317:126376. [DOI: 10.1016/j.foodchem.2020.126376] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 01/31/2020] [Accepted: 02/08/2020] [Indexed: 12/24/2022]
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Abstract
The control of meat quality traits constitutes an important target for any farm animal production, including cattle. Therefore, better understanding of the biochemical properties that drive muscle development and final outcomes constitutes one of the main challenging topics of animal production and meat science. Accordingly, this review has focused on skeletal muscle fibers in cattle and their relationships with beef qualities. It aimed to describe the chemical and structural properties of muscle fibers as well as a comprehensive review of their contractile and metabolic characteristics during the life of the animal. The existing methods for the classification of muscle fibers were reviewed, compared, and discussed. Then, the different stages of myogenesis in cattle were defined. The main factors regulating fetal and postnatal growth and the plasticity of muscle fibers were evidenced, especially the role of myostatin growth factor and the impact of nutritional factors. This review highlights that the knowledge about muscle fibers is paramount for a better understanding of how to control the muscle properties throughout the life of the animal for better management of the final eating qualities of beef. Accordingly, the associations between bovine muscle fibers and different meat eating qualities such as tenderness, pH decline, and color traits were further presented.
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Affiliation(s)
- Brigitte Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, 63122 Saint-Genès-Champanelle, France
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
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15
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Soulat J, Picard B, Monteils V. Influence of the rearing managements and carcass traits on the sensory properties of two muscles: Longissimus thoracis and rectus abdominis. Meat Sci 2020; 169:108204. [PMID: 32502921 DOI: 10.1016/j.meatsci.2020.108204] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 04/20/2020] [Accepted: 05/25/2020] [Indexed: 02/04/2023]
Abstract
The aim of this study was to analyse simultaneously the effect of rearing managements (RM), carcass traits, muscle type (longissimus thoracis, LT and rectus abdominis, RA) and their interactions on colour (system L*a*b*), sensory and rheological properties of 77 heifers. The data used were 46 rearing factors defining four RM applied during the heifers' whole life from and 5 carcass traits discriminating two carcass quality clusters (Low and High quality). The results showed that the RM had an impact on the carcass and meat quality traits. The redness and the overall acceptability of LT meat were more sensitive to variation of RM than RA meat. The tenderness of LT and RA were similar or not according to the RM. Higher tenderness was obtained from high carcass quality irrespective the muscle. These results show that similar carcass and meat qualities can be obtained with different RM. They also demonstrated that it is also possible to manage jointly carcass and meat qualities.
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Affiliation(s)
- J Soulat
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - B Picard
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - V Monteils
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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16
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Gagaoua M, Sentandreu MA, Coulis G, Aubry L, Astruc T, Herrera-Mendez C, Valin C, Benyamin Y, Fernandez E, Gaillard-Martinie B, Picard B, Terlouw C, Hocquette JF, Zabari M, Troy D, Hopkins DL, Damez JL, Rock E. Dr. Ahmed Ouali, 1948-2020. Meat Sci 2020; 167:108155. [PMID: 32353775 DOI: 10.1016/j.meatsci.2020.108155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 04/21/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Mohammed Gagaoua
- Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland.
| | | | - Gérald Coulis
- Institute for Immunology, University California, Irvine, United States
| | - Laurent Aubry
- INRAE, QuaPA, UR370, 63122 Saint-Genès-Champanelle, France
| | - Thierry Astruc
- INRAE, QuaPA, UR370, 63122 Saint-Genès-Champanelle, France
| | - Carlos Herrera-Mendez
- Departamento de Ingeniería Agroindustrial, Universidad de Guanajuato, Salvatierra, Mexico
| | | | - Yves Benyamin
- University Montpellier 2, CNRS, UMR5539, 34095 Montpellier, France
| | - Eric Fernandez
- Skin Application Laboratory, Innovation & Development, Yves Rocher, Issy-Les-Moulineaux 92130, France
| | - Brigitte Gaillard-Martinie
- INRAE, Plateau de Microscopie électronique, UMR 454 Microbiologie, 63122 Saint-Genès-Champanelle, France
| | - Brigitte Picard
- INRAE, VetAgro Sup, UMR1213, Theix 63112, Saint-Genès Champanelle, France
| | - Claudia Terlouw
- INRAE, VetAgro Sup, UMR1213, Theix 63112, Saint-Genès Champanelle, France
| | | | | | - Declan Troy
- Teagasc Ashtown Food Research Centre, Ashtown, Dublin 15, Ireland
| | - David L Hopkins
- NSW DPI, Centre for Red Meat and Sheep Development, Cowra, NSW 2794, Australia
| | | | - Edmond Rock
- INRAE, Unité de Nutrition Humaine, CRNH Auvergne, 63000 Clermont-Ferrand, France
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Listrat A, Gagaoua M, Normand J, Gruffat D, Andueza D, Mairesse G, Mourot BP, Chesneau G, Gobert C, Picard B. Contribution of connective tissue components, muscle fibres and marbling to beef tenderness variability in longissimus thoracis, rectus abdominis, semimembranosus and semitendinosus muscles. J Sci Food Agric 2020; 100:2502-2511. [PMID: 31960978 DOI: 10.1002/jsfa.10275] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 01/14/2020] [Accepted: 01/21/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND The present study aimed to identify relationships between components of intramuscular connective tissue, proportions of the different fiber types, intramuscular fat and sensory tenderness of beef cooked at 55 °C. Accordingly, four muscles differing in their metabolic and contractile properties, as well as in their collagen content and butcher value, were obtained from dairy and beef cattle of several ages and sexes and were then used to create variability. RESULTS Correlation analyses and/or stepwise regressions were applied on Z-scores to identify the existing and robust associations. Tenderness scores were further categorized into tender, medium and tough classes using unsupervised learning methods. The findings revealed a muscle-dependant role with respect to tenderness of total and insoluble collagen, cross-links, and type IIB + X and IIA muscle fibers. The longissimus thoracis and semitendinosus muscles that, in the present study, were found to be extreme in their tenderness potential were also very different from each other and from the rectus abdominis (RA) and semimembranosus (SM). RA and SM muscles were very similar regarding their relationship for muscle components and tenderness. A relationship between marbling and tenderness was only present when the results were analysed irrespective of all factors of variation of the experimental model relating to muscle and animal type. CONCLUSION The statistical approaches applied in the present study using Z-scores allowed identification of the robust associations between muscle components and sensory beef tenderness and also identified discriminatory variables of beef tenderness classes. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Anne Listrat
- PHASE Department, Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- PHASE Department, Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
- Food Quality and Sensory Science Department, Teagasc Ashtown Food Research Centre, Dublin, Ireland
| | - Jérome Normand
- Institut de l'Elevage, Service Qualité des Viandes, Lyon, France
| | - Dominique Gruffat
- PHASE Department, Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Donato Andueza
- PHASE Department, Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | | | | | | | | | - Brigitte Picard
- PHASE Department, Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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Boudon S, Ounaissi D, Viala D, Monteils V, Picard B, Cassar-Malek I. Label free shotgun proteomics for the identification of protein biomarkers for beef tenderness in muscle and plasma of heifers. J Proteomics 2020; 217:103685. [DOI: 10.1016/j.jprot.2020.103685] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 01/15/2020] [Accepted: 02/08/2020] [Indexed: 12/21/2022]
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Picard B, Gagaoua M. Meta-proteomics for the discovery of protein biomarkers of beef tenderness: An overview of integrated studies. Food Res Int 2020; 127:108739. [DOI: 10.1016/j.foodres.2019.108739] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 01/14/2023]
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Bazile J, Picard B, Chambon C, Valais A, Bonnet M. Pathways and biomarkers of marbling and carcass fat deposition in bovine revealed by a combination of gel-based and gel-free proteomic analyses. Meat Sci 2019; 156:146-155. [DOI: 10.1016/j.meatsci.2019.05.018] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/05/2019] [Accepted: 05/16/2019] [Indexed: 01/09/2023]
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21
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Berri C, Picard B, Lebret B, Andueza D, Lefèvre F, Le Bihan-Duval E, Beauclercq S, Chartrin P, Vautier A, Legrand I, Hocquette JF. Predicting the Quality of Meat: Myth or Reality? Foods 2019; 8:E436. [PMID: 31554284 PMCID: PMC6836130 DOI: 10.3390/foods8100436] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 09/16/2019] [Accepted: 09/20/2019] [Indexed: 01/19/2023] Open
Abstract
This review is aimed at providing an overview of recent advances made in the field of meat quality prediction, particularly in Europe. The different methods used in research labs or by the production sectors for the development of equations and tools based on different types of biological (genomic or phenotypic) or physical (spectroscopy) markers are discussed. Through the various examples, it appears that although biological markers have been identified, quality parameters go through a complex determinism process. This makes the development of generic molecular tests even more difficult. However, in recent years, progress in the development of predictive tools has benefited from technological breakthroughs in genomics, proteomics, and metabolomics. Concerning spectroscopy, the most significant progress was achieved using near-infrared spectroscopy (NIRS) to predict the composition and nutritional value of meats. However, predicting the functional properties of meats using this method-mainly, the sensorial quality-is more difficult. Finally, the example of the MSA (Meat Standards Australia) phenotypic model, which predicts the eating quality of beef based on a combination of upstream and downstream data, is described. Its benefit for the beef industry has been extensively demonstrated in Australia, and its generic performance has already been proven in several countries.
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Affiliation(s)
- Cécile Berri
- UMR Biologie des Oiseaux et Aviculture, INRA, Université de Tours, 37380 Nouzilly, France.
| | - Brigitte Picard
- UMR Herbivores, INRA, VetAgro Sup, Theix, 63122 Saint-Genès Champanelle, France.
| | - Bénédicte Lebret
- UMR Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Élevage, INRA, AgroCampus Ouest, 35590 Saint-Gilles, France.
| | - Donato Andueza
- UMR Herbivores, INRA, VetAgro Sup, Theix, 63122 Saint-Genès Champanelle, France.
| | - Florence Lefèvre
- Laboratoire de Physiologie et Génomique des poissons, INRA, 35000 Rennes, France.
| | | | - Stéphane Beauclercq
- UMR Biologie des Oiseaux et Aviculture, INRA, Université de Tours, 37380 Nouzilly, France.
| | - Pascal Chartrin
- UMR Biologie des Oiseaux et Aviculture, INRA, Université de Tours, 37380 Nouzilly, France.
| | - Antoine Vautier
- Institut du porc, La motte au Vicomte, 35651 Le Rheu, CEDEX, France.
| | - Isabelle Legrand
- Institut de l'Elevage, Maison Régionale de l'Agriculture-Nouvelle Aquitaine, 87000 Limoges, France.
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22
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Mezgebo GB, Monahan FJ, McGee M, O'Riordan EG, Marren D, Listrat A, Picard B, Richardson RI, Moloney AP. Extending the Grazing Period for Bulls, Prior to Finishing on a Concentrate Ration: Composition, Collagen Structure and Organoleptic Characteristics of Beef. Foods 2019; 8:foods8070278. [PMID: 31340599 PMCID: PMC6678992 DOI: 10.3390/foods8070278] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/18/2019] [Accepted: 07/22/2019] [Indexed: 11/16/2022] Open
Abstract
The biochemical and organoleptic characteristics of the longissimus thoracis muscle from suckler bulls (n = 56) finished on a concentrate-based system (C) or raised in a pasture-based system (P) incorporating 99 (P99), 162 (P162) or 231 days (P231) of grazing prior to indoor finishing on the concentrate-based diet were investigated. Age at slaughter increased with increasing period at pasture. Intramuscular fat concentration was lower (p < 0.001) for P99 than for C, P162 and P231 bulls, which did not differ. Soluble collagen proportion was lower (p < 0.01) for P162 and P231 than for P99 and C bulls. Collagen cross-link content was higher (p < 0.05) for P231 than for P99 and C bulls and for P162 than for C bulls. The proportion of type I muscle fibres was higher (p < 0.01) for P231 and P162 than for P99 and C bulls. Sensory tenderness was higher (p < 0.001) for C and P162 than for P99 and P231 bulls and overall liking was higher (p < 0.01) for C than for P99 and P231 bulls but similar to P162 bulls. Extending the grazing period to 162 days did not negatively influence the sensory qualities of beef compared to the intensive concentrate-based system.
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Affiliation(s)
- Gebrehawerya B Mezgebo
- School of Agriculture and Food Science, University College Dublin, D04V1W8 Dublin, Ireland
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co., C15PW93 Meath, Ireland
| | - Frank J Monahan
- School of Agriculture and Food Science, University College Dublin, D04V1W8 Dublin, Ireland
| | - Mark McGee
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co., C15PW93 Meath, Ireland
| | - Edward G O'Riordan
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co., C15PW93 Meath, Ireland
| | - Declan Marren
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co., C15PW93 Meath, Ireland
| | - Anne Listrat
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon, F-63122 Saint-Genès-Champanelle, France
| | - Brigitte Picard
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon, F-63122 Saint-Genès-Champanelle, France
| | - R Ian Richardson
- Division of Farm Animal Science, Department of Clinical Veterinary Medicine, University of Bristol, Langford, Bristol BS40 5DU, UK
| | - Aidan P Moloney
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Dunsany, Co., C15PW93 Meath, Ireland.
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23
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Soulat J, Monteils V, Léger S, Picard B. Identification of key rearing factors to manage cattle carcass fatness and conformation scores during the fattening period. Italian Journal of Animal Science 2019. [DOI: 10.1080/1828051x.2019.1632750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Julien Soulat
- Clermont Auvergne University, INRA, VetAgro-Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Valérie Monteils
- Clermont Auvergne University, INRA, VetAgro-Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Stéphanie Léger
- Université Clermont Auvergne, Blaise Pascal University, Laboratoire de Mathématiques, Clermont-Ferrand, France
- CNRS, UMR 6620, Laboratoire de Mathématiques, Aubière, France
| | - Brigitte Picard
- Clermont Auvergne University, INRA, VetAgro-Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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24
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Gagaoua M, Terlouw C, Richardson I, Hocquette JF, Picard B. The associations between proteomic biomarkers and beef tenderness depend on the end-point cooking temperature, the country origin of the panelists and breed. Meat Sci 2019; 157:107871. [PMID: 31254803 DOI: 10.1016/j.meatsci.2019.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 06/15/2019] [Accepted: 06/15/2019] [Indexed: 12/21/2022]
Abstract
Steaks of 74 animals from 3 young bull breeds (Aberdeen Angus, Limousin and Blond d'Aquitaine) were cooked at two end-point cooking temperatures (55 and 74 °C) and evaluated for tenderness by trained panelists from France (FR) and the United Kingdom (UK). Using principal component regressions, the tenderness scores of each breed, country origin of the panelists and cooking temperature were linked with the abundances of 21 protein biomarkers belonging to five biological pathways. Twelve regression equations were built and explained 68 to 95% of tenderness variability. A high dissimilarity in the retained biomarkers was observed among the equations and differences exist among breeds, cooking temperatures and country origin of the panelists. Among the 21 biomarkers, 6 proteins including structural (MyHC-I, MyHC-IIa, MyHC-IIx), oxidative stress (DJ-1, PRDX6) and proteolysis (CAPN1) were retained robustly in positive or negative directions in the tenderization process of Longissimus thoracis, regardless the breed, the end-point cooking temperature or the country origin of the panelist.
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Affiliation(s)
- Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Claudia Terlouw
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Ian Richardson
- Bristol Veterinary School, Faculty of Health Sciences, University of Bristol, Langford, Bristol, BS40 5DU, UK
| | - Jean-François Hocquette
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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25
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Conanec A, Picard B, Durand D, Cantalapiedra-Hijar G, Chavent M, Denoyelle C, Gruffat D, Normand J, Saracco J, Ellies-Oury MP. New Approach Studying Interactions Regarding Trade-Off between Beef Performances and Meat Qualities. Foods 2019; 8:E197. [PMID: 31181692 PMCID: PMC6616927 DOI: 10.3390/foods8060197] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 05/29/2019] [Accepted: 06/04/2019] [Indexed: 12/02/2022] Open
Abstract
The beef cattle industry is facing multiple problems, from the unequal distribution of added value to the poor matching of its product with fast-changing demand. Therefore, the aim of this study was to examine the interactions between the main variables, evaluating the nutritional and organoleptic properties of meat and cattle performances, including carcass properties, to assess a new method of managing the trade-off between these four performance goals. For this purpose, each variable evaluating the parameters of interest has been statistically modeled and based on data collected on 30 Blonde d'Aquitaine heifers. The variables were obtained after a statistical pre-treatment (clustering of variables) to reduce the redundancy of the 62 initial variables. The sensitivity analysis evaluated the importance of each independent variable in the models, and a graphical approach completed the analysis of the relationships between the variables. Then, the models were used to generate virtual animals and study the relationships between the nutritional and organoleptic quality. No apparent link between the nutritional and organoleptic properties of meat (r = -0.17) was established, indicating that no important trade-off between these two qualities was needed. The 30 best and worst profiles were selected based on nutritional and organoleptic expectations set by a group of experts from the INRA (French National Institute for Agricultural Research) and Institut de l'Elevage (French Livestock Institute). The comparison between the two extreme profiles showed that heavier and fatter carcasses led to low nutritional and organoleptic quality.
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Affiliation(s)
- Alexandre Conanec
- Universite Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France.
- Contrôle de Qualité et Fiabilité Dynamique (CQFD) team, Inria BSO, F-33400 Talence, France.
- Universite de Bordeaux, IMB, UMR 5251, F-33400 Talence, France.
| | - Brigitte Picard
- Universite Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France.
| | - Denis Durand
- Universite Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France.
| | | | - Marie Chavent
- Contrôle de Qualité et Fiabilité Dynamique (CQFD) team, Inria BSO, F-33400 Talence, France.
- Universite de Bordeaux, IMB, UMR 5251, F-33400 Talence, France.
| | - Christophe Denoyelle
- Institut de l'Elevage, Service Qualite des Carcasses et des Viandes, 69007 Lyon, France.
| | - Dominique Gruffat
- Universite Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France.
| | - Jérôme Normand
- Institut de l'Elevage, Service Qualite des Carcasses et des Viandes, 69007 Lyon, France.
| | - Jérôme Saracco
- Contrôle de Qualité et Fiabilité Dynamique (CQFD) team, Inria BSO, F-33400 Talence, France.
- ENSC Bordeaux INP, IMB, UMR 5251, F-33400 Talence, France.
| | - Marie-Pierre Ellies-Oury
- Universite Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genes-Champanelle, France.
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26
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Gagaoua M, Picard B, Monteils V. Assessment of cattle inter-individual cluster variability: the potential of continuum data from the farm-to-fork for ultimate beef tenderness management. J Sci Food Agric 2019; 99:4129-4141. [PMID: 30767219 DOI: 10.1002/jsfa.9643] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND This study implemented a holistic approach based on the farm-to-fork data at the four levels of the continuum (farm - slaughterhouse - muscle - meat) to study the inter-individual cluster variability of beef tenderness. For that, 171 young bulls were selected on a large database of 480 animals according to the industrial expectations based on animal and carcass characteristics. The targeted factors were age at slaughter (14; 20 months), carcass weight (370; 470 kg), EUROP conformation (7; 15) and fatness (2.5; 5) scores of the carcasses. Multivariate analyses and unsupervised learning tools were performed. RESULTS Principal component analysis combined to agglomerative hierarchical clustering allowed ten clusters to be identified that differed (P < 0.0001) for the four targeted factors. The clusters were further different for variables belonging to each level of the continuum. The results indicated an inter-individual cluster variability rising in tenderness in link with the continuum data grouped according to industrial expectations. The associations of the whole variables of the continuum with tenderness were very important, but farm-to-fork continuum-levels dependent. The findings showed that the variables contributing most to the inter-individual cluster variability of tenderness seemed to be more related to the rearing practices, mainly feeding, and their consequences on carcass properties rather than to the muscle characteristics evaluated by enzyme metabolism and connective tissue. CONCLUSION It seems that considering the continuum data would allow possible trade-off managements of tenderness to identify levers at different levels from the farm-to-meat. © 2019 Society of Chemical Industry.
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Affiliation(s)
- Mohammed Gagaoua
- Département PHASE, INRA, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, Saint-Genès-Champanelle, France
| | - Brigitte Picard
- Département PHASE, INRA, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, Saint-Genès-Champanelle, France
| | - Valérie Monteils
- Département PHASE, INRA, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, Saint-Genès-Champanelle, France
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27
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Soulat J, Monteils V, Picard B. Effect of the Rearing Managements Applied during Heifers' Whole Life on Quality Traits of Five Muscles of the Beef Rib. Foods 2019; 8:foods8050157. [PMID: 31083337 PMCID: PMC6560423 DOI: 10.3390/foods8050157] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 05/08/2019] [Accepted: 05/08/2019] [Indexed: 11/24/2022] Open
Abstract
The aim of this work was to study the effects of four different rearing managements applied during the heifers’ whole life period (WLP) on muscles from ribs in the chuck sale section. The characteristics of meat studied were the sensory, rheological, and color of the longissimus muscle (LM) and the rheological traits of four other muscles: complexus, infraspinatus, rhomboideus, and serratus ventralis. The main results showed that WLP rearing managements did not significantly impact the tenderness (sensory or rheological analyses) of the rib muscles. The LM had high (p ≤ 0.05) typical flavor and was appreciated when heifers received a WLP rearing management characterized by a short pasture duration during the heifers’ whole life (WLP-E). The heifers’ management characterized by a long pasture duration during their life (WLP-A) or by a diet composed mainly of hay during the growth and fattening periods (WLP-F), had lower typical flavor and were less appreciated than those with WLP-E management. Moreover, the LM color was redder for heifers of WLP-E than those of the WLP-A and WLP-F groups. This study confirmed that it is possible to obtain similar meat qualities with different rearing managements.
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Affiliation(s)
- Julien Soulat
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Valérie Monteils
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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28
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Picard B, Gagaoua M, Al Jammas M, Bonnet M. Beef tenderness and intramuscular fat proteomic biomarkers: Effect of gender and rearing practices. J Proteomics 2019; 200:1-10. [PMID: 30894324 DOI: 10.1016/j.jprot.2019.03.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/12/2019] [Accepted: 03/15/2019] [Indexed: 12/24/2022]
Abstract
This study analyzed the effect of gender on the abundances of 20 protein biomarkers of tenderness and/or intramuscular fat content in five muscles: Longissimus thoracis, previously identified as biomarkers of tenderness and/or intramuscular Semimembranosus, Rectus abdominis, Triceps brachii and Semitendinosus, from cows and steers of the Protected Designation Origin Maine Anjou. The protein abundances were quantified using Reverse Phase Protein Array with specific validated antibodies. Among the 20 studied proteins, the abundance of 8 biomarkers involved in energetic metabolism, contraction and cellular stress, was different according to gender. The gender effect was different depending on the muscle type with greater abundances in Semitendinosus, Rectus abdominis and Longissimus thoracis muscles. On the basis of animal characteristics and rearing factors, three rearing practices classes were identified for cows. Among the factors, fattening duration modified the abundance of 12 proteins mainly in Triceps brachii muscle. A positive correlation between the abundance of the small HSP20 and slaughter age was observed in the 5 muscles. Two proteins, Four and a half LIM domains 1 (FHL1) and Glycogen phosphorylase (PYGB) appeared to be muscle, gender and rearing practices independent. These results constitute valuable data to understand how to manage beef quality by controlling these different factors. SIGNIFICANCE: This study is the first to compare the relative abundance of 20 proteins previously identified as biomarkers of tenderness and/or intramuscular fat (IMF) content of beef meat between cows and steers among 5 different muscles. Its originality is in the use of Reverse Phase Protein Array for fast quantification of the proteins and the integration of data from rearing factors, carcass characteristics and biomarkers of meat qualities. The findings provide evidence for modulating biomarker levels by controlling the choice of animal type and rearing factors according to the type of muscle that would produce animals with the desired meat qualities.
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Affiliation(s)
- Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France.
| | - Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France.
| | - Marwa Al Jammas
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Muriel Bonnet
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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29
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Gagaoua M, Monteils V, Picard B. Decision tree, a learning tool for the prediction of beef tenderness using rearing factors and carcass characteristics. J Sci Food Agric 2019; 99:1275-1283. [PMID: 30073653 DOI: 10.1002/jsfa.9301] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/28/2018] [Accepted: 08/01/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND The present study explored the potential use of decision trees on rearing factors (q = 10) and carcass characteristics (q = 12) for the development of prediction model rules of beef tenderness prediction/categorization. Accordingly, 308 young bulls were used by a sensory panel to evaluate the tenderness potential of ribeye steaks grilled at 55 °C. A classification and regression tree method was implemented and allowed the prediction of tenderness using (i) rearing factors, (ii) carcass characteristics or (iii) both. RESULTS The resultant tree models yielded predictive accuracies of 70.78% (with four rearing factors: concentrate percentage; fattening duration; initial body weight and dry matter intake); 67.21% (with four carcass characteristics: fatness carcass score; carcass weight; dressing percentage and muscle carcass percentage) and 84.41% (with six rearing factors and carcass characteristics) compared to the k-means clustering of tenderness. In the final and robust regression tree, from the 22 attribute information, two carcass characteristics (fatness carcass score and muscle carcass percentage) and four rearing factors (fattening duration; concentrate percentage; dry matter intake and initial body weight) were retained as predictors. The first splitter of the 308 ribeye steaks in accordance with their tenderness scores was fatness carcass score, followed by fattening duration and concentrate percentage. CONCLUSION The trial in the preset study highlights the importance of thresholding approach for efficiently classifying ribeye steaks in accordance with their tenderness potential. The overall prediction model rule was: IF (fatness carcass score ≥ 2.88) AND (concentrate ≥ 82%) [AND (muscle carcass ≥ 71%)] THEN meat was [very] tender. © 2018 Society of Chemical Industry.
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Affiliation(s)
- Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Valérie Monteils
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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30
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Gagaoua M, Monteils V, Picard B. Data from the Farmgate-to-Meat Continuum Including Omics-Based Biomarkers to Better Understand the Variability of Beef Tenderness: An Integromics Approach. J Agric Food Chem 2018; 66:13552-13563. [PMID: 30512949 DOI: 10.1021/acs.jafc.8b05744] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This study is based on an integromic approach of 71 young bulls' data from the farmgate-to-meat continuum including omics-based biomarkers, to understand beef tenderness variability in two muscle cuts that differ by their contractile and metabolic properties. By the means of chemometrics using partial least-squares (PLS) and principal component regressions (PCR), important variables from a list of 49 that characterize four levels of the continuum (rearing factors-carcass-muscle-meat) were identified to explain tenderness of Longissimus thoracis (LT) and Semitendinosus (ST) muscles evaluated by a sensory panel and instrumental Warner-Bratzler shear force (WBSF). The PLS and PCR analyses validated 16 and 15 variables for LT and 12 and 14 for ST from the whole continuum to explain sensory tenderness and WBSF, respectively. Among the explanatory variables in the four models and in line with the role of apoptosis in tenderness determinism, HSP70-1A/B (a heat shock protein) was retained to explain beef tenderness irrespective of muscle and evaluation method. Similarly, dressing percentage from the carcass level was another robust predictor but in a muscle-dependent direction manner. HSP20, ENO3, and MyHC-I as three muscle protein biomarkers and dry matter intake (DMI) as a rearing factor were involved in three models to explain beef tenderness. This study highlighted also that several variables were muscle-specific irrespective of the evaluation method of tenderness. For LT muscle, six variables including three carcass traits (fatness score, fat carcass %, and muscle carcass %), two muscle biomarkers (HSP70-8 and MyHC-IIx/b), and one meat quality trait (pH3h) were found. For ST muscle, five variables were validated from two rearing factors (average daily gain and feed efficiency) and three structural protein biomarkers (α-actin, MyBP-H, and CapZ-β). Finally, for WBSF only, lactate dehydrogenase chain B (LDH-B) was retained positively for LT and negatively for ST muscles. Overall, this trial showed that tenderness of LT and ST muscle cuts is influenced by variables belonging to the whole continuum with relationships that depend on both the muscle type and the evaluation method. It further highlighted the potential of integromic/chemometric approaches on the farmgate-to-meat continuum data to better understand the sophisticated biological processes that orchestrate the conversion of muscle into meat and tenderness determinism.
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Affiliation(s)
- Mohammed Gagaoua
- Université Clermont Auvergne , INRA, VetAgro Sup, UMR Herbivores , F-63122 Saint-Genès-Champanelle , France
| | - Valérie Monteils
- Université Clermont Auvergne , INRA, VetAgro Sup, UMR Herbivores , F-63122 Saint-Genès-Champanelle , France
| | - Brigitte Picard
- Université Clermont Auvergne , INRA, VetAgro Sup, UMR Herbivores , F-63122 Saint-Genès-Champanelle , France
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31
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Gagaoua M, Bonnet M, De Koning L, Picard B. Reverse Phase Protein array for the quantification and validation of protein biomarkers of beef qualities: The case of meat color from Charolais breed. Meat Sci 2018; 145:308-319. [DOI: 10.1016/j.meatsci.2018.06.039] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 06/26/2018] [Accepted: 06/26/2018] [Indexed: 12/25/2022]
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32
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Soulat J, Picard B, Léger S, Ellies-Oury MP, Monteils V. Preliminary Study to Determinate the Effect of the Rearing Managements Applied during Heifers' Whole Life on Carcass and Flank Steak Quality. Foods 2018; 7:foods7100160. [PMID: 30275429 PMCID: PMC6210484 DOI: 10.3390/foods7100160] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 09/22/2018] [Accepted: 09/25/2018] [Indexed: 11/20/2022] Open
Abstract
The aim of this study was to investigate the impact of rearing managements applied during a heifers’ whole life on the carcass and flank steak (rectus abdominis) meat traits. For this study, rearing managements applied on 96 heifers were identified by conducting surveys in farms. A heifers’ whole life was divided into three key periods: Pre-weaning, growth, and fattening. The combination of the rearing factors applied during the heifers’ whole life allowed us to characterize several rearing managements. Among them, four have been studied in depth. The main results displayed that the carcass traits were more sensitive to the rearing managements than the flank steak traits. The different managements considered had an impact on the weight, the dressing percentage and the conformation score of the carcass. Whereas, they had no impact on the sensory descriptors, the sheer force and the color of the flank steak. This study showed that the variations observed for carcass and meat traits could not be explained by the variation of only one rearing factor but could be explained by many rearing factors characterizing the rearing management applied. Finally, this study demonstrated that it was possible to improve carcass traits without deteriorating meat traits.
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Affiliation(s)
- Julien Soulat
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Stéphanie Léger
- Université de Clermont Auvergne, Université Blaise Pascal, Laboratoire de Mathématiques, BP 10448, F-63000 Clermont-Ferrand, France.
- CNRS, UMR 6620, Laboratoire de Mathématiques, F-63171 Aubière, France.
| | - Marie-Pierre Ellies-Oury
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
- Bordeaux Science Agro, 1 Cours du Général de Gaulle, CS 40201, F-33175 Gradignan, France.
| | - Valérie Monteils
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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Gagaoua M, Picard B, Soulat J, Monteils V. Clustering of sensory eating qualities of beef: Consistencies and differences within carcass, muscle, animal characteristics and rearing factors. Livest Sci 2018. [DOI: 10.1016/j.livsci.2018.06.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Picard B, Gagaoua M, Al-Jammas M, De Koning L, Valais A, Bonnet M. Beef tenderness and intramuscular fat proteomic biomarkers: muscle type effect. PeerJ 2018; 6:e4891. [PMID: 29892502 PMCID: PMC5994332 DOI: 10.7717/peerj.4891] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Accepted: 05/14/2018] [Indexed: 12/22/2022] Open
Abstract
Tenderness and intramuscular fat content are key attributes for beef sensory qualities. Recently some proteomic analysis revealed several proteins which are considered as good biomarkers of these quality traits. This study focuses on the analysis of 20 of these proteins representative of several biological functions: muscle structure and ultrastructure, muscle energetic metabolism, cellular stress and apoptosis. The relative abundance of the proteins was measured by Reverse Phase Protein Array (RPPA) in five muscles known to have different tenderness and intramuscular lipid contents: Longissimus thoracis (LT), Semimembranosus (SM), Rectus abdominis (RA), Triceps brachii (TB) and Semitendinosus (ST). The main results showed a muscle type effect on 16 among the 20 analyzed proteins. They revealed differences in protein abundance depending on the contractile and metabolic properties of the muscles. The RA muscle was the most different by 11 proteins differentially abundant comparatively to the four other muscles. Among these 11 proteins, six were less abundant namely enolase 3 (ENO3), phosphoglucomutase 1 (PGK1), aldolase (ALDOA), myosin heavy chain IIX (MyHC-IIX), fast myosin light chain 1 (MLC1F), triosephosphate isomerase 1 (TPI1) and five more abundant: Heat shock protein (HSP27, HSP70-1A1, αB-crystallin (CRYAB), troponin T slow (TNNT1), and aldolase dehydrogenase 1 (ALDH1A1). Four proteins: HSP40, four and a half LIM domains protein 1 (FHL1), glycogen phosphorylase B (PYGB) and malate dehydrogenase (MDH1) showed the same abundance whatever the muscle. The correlations observed between the 20 proteins in all the five muscles were used to construct a correlation network. The proteins the most connected with the others were in the following order MyHC-IIX, CRYAB, TPI1, PGK1, ALDH1A1, HSP27 and TNNT1. This knowledge is important for understanding the biological functions related to beef tenderness and intramuscular fat content.
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Affiliation(s)
- Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Marwa Al-Jammas
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Leanne De Koning
- Institut Curie Centre de Recherche, Université de recherche PSL, Plateforme RPPA, Paris, France
| | - Albéric Valais
- S.I.C.A. Rouge des Prés, Domaines des rues, Chenillé-Champteussé, France
| | - Muriel Bonnet
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
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Soulat J, Picard B, Léger S, Monteils V. Prediction of beef carcass and meat quality traits from factors characterising the rearing management system applied during the whole life of heifers. Meat Sci 2018; 140:88-100. [PMID: 29549845 DOI: 10.1016/j.meatsci.2018.03.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 11/28/2022]
Abstract
In this study, four prediction models were developed by logistic regression using individual data from 96 heifers. Carcass and sensory rectus abdominis quality clusters were identified then predicted using the rearing factors data. The obtained models from rearing factors applied during the fattening period were compared to those characterising the heifers' whole life. The highest prediction power of carcass and meat quality clusters were obtained from the models considering the whole life, with success rates of 62.8% and 54.9%, respectively. Rearing factors applied during both pre-weaning and fattening periods influenced carcass and meat quality. According to models, carcass traits were improved when heifer's mother was older for first calving, calves ingested concentrates during pasture preceding weaning and heifers were slaughtered older. Meat traits were improved by the genetic of heifers' parents (i.e., calving ease and early muscularity) and when heifers were slaughtered older. A management of carcass and meat quality traits is possible at different periods of the heifers' life.
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Affiliation(s)
- J Soulat
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - B Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - S Léger
- Université de Clermont Auvergne, Université Blaise Pascal, Laboratoire de Mathématiques, BP 10448, F-63000 Clermont-Ferrand, France; CNRS, UMR 6620, Laboratoire de Mathématiques, F-63171 Aubière, France
| | - V Monteils
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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Gagaoua M, Picard B, Monteils V. Associations among animal, carcass, muscle characteristics, and fresh meat color traits in Charolais cattle. Meat Sci 2018; 140:145-156. [PMID: 29571048 DOI: 10.1016/j.meatsci.2018.03.004] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 03/05/2018] [Accepted: 03/05/2018] [Indexed: 11/29/2022]
Abstract
This study investigated the effects of animal, carcass and muscle characteristics on initial color traits of steaks from 887 Charolais cattle. First, the fixed factors of year of birth, experiment and sex had strong impacts on color traits. From the covariates, increased age lead to intense color (low h*, -1.55 units) and darker and vivid meat (high a*, b* and C*: +4.56, +3.41 and +5.61, respectively). Increases in fatness score and carcass fat weight were associated with increases in a*, b* and C* (redness; +2.90 to +4.06 for a*; yellowness; +2.60 to +3.76 for b*; and vividness, +3.87 to +5.49 for C*) and a darker colored lean (L*; -1.56 to -3.23). As pH24h increased, a* (less red) and C* (less vivid) decreased (-3.06), whereas hue angle increased (+2.69) leading to poorer color. The selection of animals for high degree of muscularity or slaughter weight resulted in lighter and darker meat, respectively. The studied covariates could be used as indicators of Charolais beef color traits.
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Affiliation(s)
- Mohammed Gagaoua
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
| | - Brigitte Picard
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France
| | - Valérie Monteils
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès-Champanelle, France.
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Mezgebo GB, Monahan FJ, McGee M, Riordan EGO, Picard B, Richardson RI, Moloney AP. Compositional, organoleptic, metabolic enzyme activity and fibre characteristics of muscle from bulls with different growth paths to a common carcass weight. Anim Prod Sci 2018. [DOI: 10.1071/an16830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The proximate composition, organoleptic quality, metabolic enzyme activity and fibre characteristics of longissimus thoracis muscle from suckler bulls assigned to three target indoor winter (from 9 to 13 months of age approximately) growth rates (average daily gain of 0.6, 1.0 and 1.5 kg; n = 14/group) were investigated. The feeding regimes to achieve the target average daily gains were 2, 4 and 6 kg of concentrate respectively, plus grass silage ad libitum. The duration of the winter feeding period was 123 days, after which bulls were turned out to pasture and grazed for 99 days before re-housing and finishing on concentrates ad libitum plus grass silage until they reached a liveweight to yield a target carcass weight of 380 kg. The average daily gain during the grazing period was higher (P < 0.001) for the 0.6 than for the 1.0 and 1.5 average daily-gain groups, which did not differ. Proximate composition, collagen content, metabolic enzyme activity and fibre-type distribution of the longissimus thoracis muscle were similar (P > 0.05) between the 0.6, 1.0 and 1.5 average daily-gain groups. Apart from tenderness, which was rated higher (P < 0.05) for the 0.6 group than for the 1.0 average daily-gain group, the sensory characteristics of the beef were not influenced by the different winter growth rates applied. Overall, restricting the growth rate during winter had little effect on subsequent beef appearance or eating quality.
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Abstract
The Blonde d'Aquitaine (BA) is a French cattle breed with enhanced muscularity, partly attributable to a MSTN mutation. The BA m. Semitendinosus has a faster muscle fibre isoform phenotype comprising a higher proportion of fast type IIX fibres compared to age-matched Charolais (CH). To better understand the molecular network of modifications in BA compared to CH muscle, we assayed the transcriptomes of the m. Semitendinosus at 110, 180, 210 and 260 days postconception (dpc). We used a combination of differential expression (DE) and regulatory impact factors (RIF) to compare and contrast muscle gene expression between the breeds. Prominently developmentally regulated genes in both breeds reflected the replacement of embryonic myosin isoforms (MYL4, MYH3) with adult isoforms (MYH1) and the upregulation of mitochondrial metabolism (CKMT2, AGXT2L1) in preparation for birth. However, the transition to a fast, glycolytic muscle phenotype in the MSTN mutant BA is detectable through downregulation of various slow twitch subunits (TNNC1, MYH7, TPM3, CSRP3) beyond 210 dpc, and a small but consistent genome-wide reduction in mRNA encoding the mitoproteome. Across the breeds, NRIP2 is the regulatory gene possessing a network change most similar to that of MSTN. Summary: We explored the molecular basis of high muscle mass in Blonde d’Aquitaine cattle, and found that mRNA encoding slow fibres and mitochondrial proteins were downregulated in this breed.
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Affiliation(s)
- Isabelle Cassar-Malek
- UMR1213 Herbivores, Institut National de la Recherche Agronomique, VetAgro Sup, 63122 Saint Genès Champanelle, Clermont-Ferrand F-63122, France
| | - Céline Boby
- UMR1213 Herbivores, Institut National de la Recherche Agronomique, VetAgro Sup, 63122 Saint Genès Champanelle, Clermont-Ferrand F-63122, France
| | - Brigitte Picard
- UMR1213 Herbivores, Institut National de la Recherche Agronomique, VetAgro Sup, 63122 Saint Genès Champanelle, Clermont-Ferrand F-63122, France
| | - Antonio Reverter
- Agriculture, Commonwealth Science and Industrial Research Organisation, Queensland Bioscience Precinct, St. Lucia, Brisbane 4075, Australia
| | - Nicholas J Hudson
- School of Agriculture and Food Sciences, University of Queensland, Brisbane 4075, Australia
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Jauréguy F, Mansour H, Bigot J, Walewski V, Billard-Pomares T, Rahajamanana L, Picard B, Carbonnelle E. Use of the Xpert CarbaR assay for direct detection of carbapenemase genes from blood cultures and urine samples. J Hosp Infect 2017; 98:245-246. [PMID: 28970052 DOI: 10.1016/j.jhin.2017.09.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 09/26/2017] [Indexed: 10/18/2022]
Affiliation(s)
- F Jauréguy
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France; Université Paris Nord, IAME, UMR 1137, Sorbonne Paris Cité, France.
| | - H Mansour
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France
| | - J Bigot
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France
| | - V Walewski
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France; Université Paris Nord, IAME, UMR 1137, Sorbonne Paris Cité, France
| | - T Billard-Pomares
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France; Université Paris Nord, IAME, UMR 1137, Sorbonne Paris Cité, France
| | - L Rahajamanana
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France
| | - B Picard
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France; Université Paris Nord, IAME, UMR 1137, Sorbonne Paris Cité, France
| | - E Carbonnelle
- Service de Bactériologie-Virologie, Hygiène, Hôpitaux Universitaires de Paris Seine Denis (HUPSSD), site Avicenne, AP-HP, Bobigny, France; Université Paris Nord, IAME, UMR 1137, Sorbonne Paris Cité, France
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Gagaoua M, Monteils V, Couvreur S, Picard B. Identification of Biomarkers Associated with the Rearing Practices, Carcass Characteristics, and Beef Quality: An Integrative Approach. J Agric Food Chem 2017; 65:8264-8278. [PMID: 28844145 DOI: 10.1021/acs.jafc.7b03239] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Data from birth to slaughter of cull cows allowed using a PCA-based approach coupled with the iterative K-means algorithm the identification of three rearing practices classes. The classes were different in their carcass characteristics. Old cows raised mainly on pasture have better carcass characteristics, while having an equivalent tenderness, juiciness, flavor, intramuscular fat content, and pHu to those fattened with hay or haylage. The Longissimus thoracis muscle of the cows raised on pasture (with high physical activity) showed greater proportions of IIA fibers at the expense of the fast IIX ones. Accordingly, the meat of these animals have better color characteristics. Superoxide dismutase (SOD1) and αB-crystallin quantified by Dot-Blot were the only other biomarkers to be more abundant in "Grass" class compared to "Hay" and "Haylage" classes. The relationships between the biomarkers and the 6 carcass and 11 meat quality traits were investigated using multiple regression analyses per rearing practices. The associations were rearing practice class and phenotype trait-dependent. ICDH and TP53 were common for the three classes, but the direction of their entrance was different. In addition, rearing practices and carcass traits were not related with Hsp70-Grp75 and μ-calpain abundances. The other relationships were specific for two or one rearing practices class. The rearing practices dependency of the relationships was also found with meat quality traits. Certain proteins were for the first time related with some beef quality traits. MyHC-IIx, PGM1, Hsp40, ICDH, and Hsp70-Grp75 were common for the three rearing practices classes and retained to explain at list one beef quality trait. A positive relationship was found between PGM1 and hue angle irrespective of rearing practices class. This study confirms once again that production-related traits in livestock are the result of sophisticated biological processes finely orchestrated during the life of the animal and soon after slaughter.
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Affiliation(s)
- Mohammed Gagaoua
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon , 63122 Saint-Genès-Champanelle, France
| | - Valérie Monteils
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon , 63122 Saint-Genès-Champanelle, France
| | - Sébastien Couvreur
- URSE, Université Bretagne Loire, Ecole Supérieure d'Agriculture (ESA) , 55 Rue Rabelais, BP 30748, 49007 Angers Cedex, France
| | - Brigitte Picard
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon , 63122 Saint-Genès-Champanelle, France
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Gagaoua M, Couvreur S, Le Bec G, Aminot G, Picard B. Associations among Protein Biomarkers and pH and Color Traits in Longissimus thoracis and Rectus abdominis Muscles in Protected Designation of Origin Maine-Anjou Cull Cows. J Agric Food Chem 2017; 65:3569-3580. [PMID: 28343382 DOI: 10.1021/acs.jafc.7b00434] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
This study investigated the relationships among a list of 23 protein biomarkers with CIE-L*a*b* meat color traits and ultimate pH on Longissimus thoracis (LT) and Rectus abdominis (RA) muscles of 48 protected designation of origin Maine-Anjou cows. The technological parameters were correlated with several biomarkers and were in some cases muscle-dependent. More biomarkers were related to pHu in LT than in RA muscle. Some consistencies were found, by the common correlation of pHu with MyHC-IIa and MyHC-IIx. The pHu of the LT muscle was also correlated with other cytoskeletal entities and proteins belonging to metabolism and cellular stress. In contrast to the relationships found between biomarkers and LT pHu, more proteins were related to the instrumental color coordinates in RA than in LT muscle. The regression equations were parameter- and muscle-dependent. Certain of the retained proteins explained more than one color coordinate. Hsp70-Grp75 was positive in the models of L*, a*, b*, and C* of LT and of b* in the RA muscle. Further heat shock proteins were strongly related with the meat color coordinates in both muscles. The involvement of metabolic enzymes and myofibrillar proteins in the meat color development was also verified in this experiment. This study confirmed once again the importance of numerous biological pathways in beef color.
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Affiliation(s)
- Mohammed Gagaoua
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon , 63122 Saint-Genès-Champanelle, France
- INATAA, Université Frères Mentouri Constantine , Route de Ain El-Bey, 25000, Constantine, Algeria
| | - Sébastien Couvreur
- Unité de Recherche sur les Systèmes d'Elevage (URSE), Université Bretagne Loire, Ecole Supérieure d'Agriculture (ESA) , 55 rue Rabelais, BP 30748, 49007 Angers Cedex, France
| | - Guillain Le Bec
- Unité de Recherche sur les Systèmes d'Elevage (URSE), Université Bretagne Loire, Ecole Supérieure d'Agriculture (ESA) , 55 rue Rabelais, BP 30748, 49007 Angers Cedex, France
| | - Ghislain Aminot
- S.I.C.A. Rouge des Prés , Domaines des rues, 49220 Chenillé-Champteussé, France
| | - Brigitte Picard
- UMR1213 Herbivores, INRA, VetAgro Sup, Clermont Université, Université de Lyon , 63122 Saint-Genès-Champanelle, France
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Moran L, O'Sullivan M, Kerry J, Picard B, McGee M, O'Riordan E, Moloney A. Effect of a grazing period prior to finishing on a high concentrate diet on meat quality from bulls and steers. Meat Sci 2017; 125:76-83. [DOI: 10.1016/j.meatsci.2016.11.021] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 11/24/2016] [Accepted: 11/25/2016] [Indexed: 11/16/2022]
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Boudida Y, Gagaoua M, Becila S, Picard B, Boudjellal A, Herrera-Mendez CH, Sentandreu M, Ouali A. Serine Protease Inhibitors as Good Predictors of Meat Tenderness: Which Are They and What Are Their Functions? Crit Rev Food Sci Nutr 2017; 56:957-72. [PMID: 25085261 DOI: 10.1080/10408398.2012.741630] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Since years, serine proteases and their inhibitors were an enigma to meat scientists. They were indeed considered to be extracellular and to play no role in postmortem muscle proteolysis. In the 1990's, we observed that protease inhibitors levels in muscles are a better predictor of meat tenderness than their target enzymes. From a practical point of view, we therefore choose to look for serine protease inhibitors rather than their target enzymes, i.e. serine proteases and the purpose of this report was to overview the findings obtained. Fractionation of a muscle crude extract by gel filtration revealed three major trypsin inhibitory fractions designed as F1 (Mr:50-70 kDa), F2 (Mr:40-60 kDa) and F3 (Mr:10-15kD) which were analyzed separately. Besides antithrombin III, an heparin dependent thrombin inhibitor, F1 and F2 comprised a large set of closely related trypsin inhibitors encoded by at least 8 genes bovSERPINA3-1 to A3-8 and able to inhibit also strongly initiator and effector caspases. They all belong to the serpin superfamily, known to form covalent complexes with their target enzymes, were located within muscle cells and found in all tissues and fluids examined irrespective of the animal species. Potential biological functions in living and postmortem muscle were proposed for all of them. In contrast to F1 and F2 which have been more extensively investigated only preliminary findings were provided for F3. Taken together, these results tend to ascertain the onset of apoptosis in postmortem muscle. However, the exact mechanisms driving the cell towards apoptosis and how apoptosis, an energy dependent process, can be completed postmortem remain still unclear.
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Affiliation(s)
- Yasmine Boudida
- a Equipe Maquav, INATAA, Université Frères Mentouri , Constantine , Algeria
| | - Mohammed Gagaoua
- a Equipe Maquav, INATAA, Université Frères Mentouri , Constantine , Algeria
| | - Samira Becila
- a Equipe Maquav, INATAA, Université Frères Mentouri , Constantine , Algeria
| | - Brigitte Picard
- b UMR1213 Herbivores, URH - AMUVI, INRA de Clermont Ferrand Theix, St Genès Champanelle , France
| | | | - Carlos H Herrera-Mendez
- c Agroindustrial Engineering Department, Universidad De Guanajuato, Salvatierra , Guanajuato , Mexico
| | - Miguel Sentandreu
- d Instituto de Agroquímica y Tecnología de Alimentos, CSIC , Burjassot (Valencia ), Spain
| | - Ahmed Ouali
- e UR370, QuaPA, INRA de Clermont Ferrand - Theix, St Genès Champanelle , France
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Ellies-Oury MP, Cantalapiedra-Hijar G, Durand D, Gruffat D, Listrat A, Micol D, Ortigues-Marty I, Hocquette JF, Chavent M, Saracco J, Picard B. An innovative approach combining Animal Performances, nutritional value and sensory quality of meat. Meat Sci 2016; 122:163-172. [DOI: 10.1016/j.meatsci.2016.08.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 08/05/2016] [Accepted: 08/06/2016] [Indexed: 10/21/2022]
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45
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Hamdi H, Majdoub-Mathlouthi L, Picard B, Listrat A, Durand D, Znaïdi I, Kraiem K. Carcass traits, contractile muscle properties and meat quality of grazing and feedlot Barbarine lamb receiving or not olive cake. Small Rumin Res 2016. [DOI: 10.1016/j.smallrumres.2016.10.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Kammoun M, Picard B, Astruc T, Gagaoua M, Aubert D, Bonnet M, Blanquet V, Cassar-Malek I. The Invalidation of HspB1 Gene in Mouse Alters the Ultrastructural Phenotype of Muscles. PLoS One 2016; 11:e0158644. [PMID: 27512988 PMCID: PMC4981447 DOI: 10.1371/journal.pone.0158644] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 06/20/2016] [Indexed: 12/30/2022] Open
Abstract
Even though abundance of Hsp27 is the highest in skeletal muscle, the relationships between the expression of HspB1 (encoding Hsp27) and muscle characteristics are not fully understood. In this study, we have analysed the effect of Hsp27 inactivation on mouse development and phenotype. We generated a mouse strain devoid of Hsp27 protein by homologous recombination of the HspB1 gene. The HspB1-/- mouse was viable and fertile, showing neither apparent morphological nor anatomical alterations. We detected a gender dimorphism with marked effects in males, a lower body weight (P < 0.05) with no obvious changes in the growth rate, and a lower plasma lipids profile (cholesterol, HDL and triglycerides, 0.001 < P< 0.05). The muscle structure of the animals was examined by optical microscopy and transmission electron microscopy. Not any differences in the characteristics of muscle fibres (contractile and metabolic type, shape, perimeter, cross-sectional area) were detected except a trend for a higher proportion of small fibres. Different myosin heavy chains electrophoretic profiles were observed in the HspB1-/- mouse especially the presence of an additional isoform. Electron microscopy revealed ultrastructural abnormalities in the myofibrillar structure of the HspB1-/- mouse mutant mice (e.g. destructured myofibrils and higher gaps between myofibrils) especially in the m. Soleus. Combined with our previous data, these findings suggest that Hsp27 could directly impact the organization of muscle cytoskeleton at the molecular and ultrastructural levels.
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Affiliation(s)
- Malek Kammoun
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | - Brigitte Picard
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | - Thierry Astruc
- INRA, UR0370 Qualité des Produits Animaux, F-63122, Saint-Genès-Champanelle, France
| | - Mohammed Gagaoua
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Equipe Maquav, INATAA, Université Frères Mentouri Constantine, Constantine, Algeria
| | - Denise Aubert
- Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Université Lyon 1, CNRS, INRA, École Normale Supérieure de Lyon, F-69364, Lyon, France
| | - Muriel Bonnet
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
| | | | - Isabelle Cassar-Malek
- INRA, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
- Clermont Université, VetAgro Sup, UMR1213 Herbivores, BP 10448, F-63000, Clermont-Ferrand, France
- * E-mail:
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47
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Gagaoua M, Micol D, Picard B, Terlouw CEM, Moloney AP, Juin H, Meteau K, Scollan N, Richardson I, Hocquette JF. Inter-laboratory assessment by trained panelists from France and the United Kingdom of beef cooked at two different end-point temperatures. Meat Sci 2016; 122:90-96. [PMID: 27501233 DOI: 10.1016/j.meatsci.2016.07.026] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 07/28/2016] [Accepted: 07/29/2016] [Indexed: 12/15/2022]
Abstract
Eating quality of the same meat samples from different animal types cooked at two end-point cooking temperatures (55°C and 74°C) was evaluated by trained panels in France and the United Kingdom. Tenderness and juiciness scores were greater at 55°C than at 74°C, irrespective of the animal type and location of the panel. The UK panel, independently of animal type, gave greater scores for beef flavour (+7 to +24%, P<0.001) but lower scores for abnormal flavour (-10 to -17%, P<0.001) at 74°C. Abnormal flavour score by the French panel was higher at 74°C than at 55°C (+26%, P<0.001). Irrespective of the data set, tenderness was correlated with juiciness and beef flavour. Overall, this study found that cooking beef at a lower temperature increased tenderness and juiciness, irrespective of the location of the panel. In contrast, cooking beef at higher temperatures increased beef flavour and decreased abnormal flavour for the UK panelists but increased abnormal flavour for the French panel.
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Affiliation(s)
- Mohammed Gagaoua
- INRA, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; VetAgro Sup, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; Equipe Maquav, INATAA, Université Frères Mentouri Constantine, Route de Ain El-Bey, 25000 Constantine, Algeria
| | - Didier Micol
- INRA, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; VetAgro Sup, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France
| | - Brigitte Picard
- INRA, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; VetAgro Sup, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France
| | - Claudia E M Terlouw
- INRA, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; VetAgro Sup, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France
| | - Aidan P Moloney
- Teagasc, Animal and Grassland Research and Innovation Centre, Grange, Dunsany, Co. Meath, Ireland
| | - Hervé Juin
- INRA, UE1206, Elevage Alternatif et Santé Animale, Le Magneraud, F-17700 Saint Pierre d'Amilly, France
| | - Karine Meteau
- INRA, UE1206, Elevage Alternatif et Santé Animale, Le Magneraud, F-17700 Saint Pierre d'Amilly, France
| | - Nigel Scollan
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, SY23 3EB, UK
| | - Ian Richardson
- Division of Farm Animal Science, University of Bristol, Langford, Bristol BS40 5DU, UK
| | - Jean-François Hocquette
- INRA, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France; VetAgro Sup, UMRH 1213, Unité de Recherches sur les Herbivores, Theix, 63122 Saint Genès Champanelle, France.
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48
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Péré-Brissaud A, Blanchet X, Delourme D, Pélissier P, Forestier L, Delavaud A, Duprat N, Picard B, Maftah A, Brémaud L. Expression of SERPINA3s in cattle: focus on bovSERPINA3-7 reveals specific involvement in skeletal muscle. Open Biol 2016; 5:150071. [PMID: 26562931 PMCID: PMC4593666 DOI: 10.1098/rsob.150071] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
α₁-Antichymotrypsin is encoded by the unique SERPINA3 gene in humans, while it is encoded by a cluster of eight closely related genes in cattle. BovSERPINA3 proteins present a high degree of similarity and significant divergences in the reactive centre loop (RCL) domains which are responsible for the antiprotease activity. In this study, we analysed their expression patterns in a range of cattle tissues. Even if their expression is ubiquitous, we showed that the expression levels of each serpin vary in different tissues of 15-month-old Charolais bulls. Our results led us to focus on bovSERPINA3-7, one of the two most divergent members of the bovSERPINA3 family. Expression analyses showed that bovSERPINA3-7 protein presents different tissue-specific patterns with diverse degrees of N-glycosylation. Using a specific antibody raised against bovSERPINA3-7, Western blot analysis revealed a specific 96 kDa band in skeletal muscle. BovSERPINA3-7 immunoprecipitation and mass spectrometry revealed that this 96 kDa band corresponds to a complex of bovSERPINA3-7 and creatine kinase M-type. Finally, we reported that the bovSERPINA3-7 protein is present in slow-twitch skeletal myofibres. Precisely, bovSERPINA3-7 specifically colocalized with myomesin at the M-band region of sarcomeres where it could interact with other components such as creatine kinase M-type. This study opens new prospects on the bovSERPINA3-7 function in skeletal muscle and promotes opportunities for further understanding of the physiological role(s) of serpins.
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Affiliation(s)
| | - Xavier Blanchet
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Didier Delourme
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Patrick Pélissier
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Lionel Forestier
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Arnaud Delavaud
- UMR1213 Herbivores, UMRH-AMUVI, INRA de Clermont Ferrand Theix, St Genès Champanelle, France
| | - Nathalie Duprat
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Brigitte Picard
- UMR1213 Herbivores, UMRH-AMUVI, INRA de Clermont Ferrand Theix, St Genès Champanelle, France
| | - Abderrahman Maftah
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
| | - Laure Brémaud
- INRA, Université de Limoges, UMR1061 Génétique Moléculaire Animale, Limoges, France
- e-mail:
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49
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Walewski V, Méchaï F, Billard-Pomares T, Juguet W, Jauréguy F, Picard B, Tandjaoui-Lambiotte Y, Carbonnelle E, Bouchaud O. MALDI-TOF MS contribution to diagnosis of melioidosis in a nonendemic country in three French travellers. New Microbes New Infect 2016; 12:31-4. [PMID: 27222715 PMCID: PMC4872369 DOI: 10.1016/j.nmni.2016.04.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 03/30/2016] [Accepted: 04/05/2016] [Indexed: 11/25/2022] Open
Abstract
Melioidosis is an endemic disease in Southeast Asia and northern Australia. An increasing number of cases are being reported in nonendemic countries, making the diagnosis less obvious. We discuss the identification of Burkholderia pseudomallei using matrix-assisted desorption ionization–time of flight mass spectrometry on the occasion of recent cases of imported melioidosis in French travellers.
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Affiliation(s)
- V Walewski
- Microbiology Department, , Hôpital Avicenne, APHP, Bobigny, France; IAME, UMR 1137, Université Paris 13, Sorbonne Paris Cité, Paris, France
| | - F Méchaï
- Infectious Diseases Unit, , Hôpital Avicenne, APHP, Bobigny, France
| | - T Billard-Pomares
- Microbiology Department, , Hôpital Avicenne, APHP, Bobigny, France; IAME, UMR 1137, Université Paris 13, Sorbonne Paris Cité, Paris, France
| | - W Juguet
- Medico-Surgical Intensive Care Unit, Hôpital Avicenne, APHP, Bobigny, France
| | - F Jauréguy
- Microbiology Department, , Hôpital Avicenne, APHP, Bobigny, France; IAME, UMR 1137, Université Paris 13, Sorbonne Paris Cité, Paris, France
| | - B Picard
- Microbiology Department, , Hôpital Avicenne, APHP, Bobigny, France; IAME, UMR 1137, Université Paris 13, Sorbonne Paris Cité, Paris, France
| | | | - E Carbonnelle
- Microbiology Department, , Hôpital Avicenne, APHP, Bobigny, France; IAME, UMR 1137, Université Paris 13, Sorbonne Paris Cité, Paris, France
| | - O Bouchaud
- Infectious Diseases Unit, , Hôpital Avicenne, APHP, Bobigny, France
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50
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Soulat J, Picard B, Léger S, Monteils V. Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows. J Anim Sci 2016; 94:1712-26. [DOI: 10.2527/jas.2015-0164] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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