Literature DB >> 25085261

Serine Protease Inhibitors as Good Predictors of Meat Tenderness: Which Are They and What Are Their Functions?

Yasmine Boudida1, Mohammed Gagaoua1, Samira Becila1, Brigitte Picard2, Abdelghani Boudjellal1, Carlos H Herrera-Mendez3, Miguel Sentandreu4, Ahmed Ouali5.   

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.

Entities:  

Keywords:  Serine protease inhibitors; apoptosis; bovine muscle; caspases; cell differentiation; serpins

Mesh:

Substances:

Year:  2016        PMID: 25085261     DOI: 10.1080/10408398.2012.741630

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  6 in total

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Authors:  Antoine Péré-Brissaud; Xavier Blanchet; Didier Delourme; Patrick Pélissier; Lionel Forestier; Arnaud Delavaud; Nathalie Duprat; Brigitte Picard; Abderrahman Maftah; Laure Brémaud
Journal:  Open Biol       Date:  2015-09       Impact factor: 6.411

2.  Role of saliva proteinase 3 in dental caries.

Authors:  Teng-Yu Yang; Wen-Jie Zhou; Yue Du; Song-Tao Wu; Wen-Wen Yuan; Yu Yu; Lin Su; Yang Luo; Jie-Hua Zhang; Wan-Lu Lu; Xiao-Qian Wang; Jiao Chen; Yun Feng; Xue-Dong Zhou; Ping Zhang
Journal:  Int J Oral Sci       Date:  2015-09       Impact factor: 6.344

3.  Enzymatic Pea Protein Hydrolysates Are Active Trypsin and Chymotrypsin Inhibitors.

Authors:  Temitola Awosika; Rotimi E Aluko
Journal:  Foods       Date:  2019-06-10

4.  Gene Co-expression Analysis Indicates Potential Pathways and Regulators of Beef Tenderness in Nellore Cattle.

Authors:  Tássia Mangetti Gonçalves; Luciana Correia de Almeida Regitano; James E Koltes; Aline Silva Mello Cesar; Sónia Cristina da Silva Andrade; Gerson Barreto Mourão; Gustavo Gasparin; Gabriel Costa Monteiro Moreira; Elyn Fritz-Waters; James M Reecy; Luiz Lehmann Coutinho
Journal:  Front Genet       Date:  2018-10-05       Impact factor: 4.599

5.  MiRNAs differentially expressed in skeletal muscle of animals with divergent estimated breeding values for beef tenderness.

Authors:  Berna I G Kappeler; Luciana C A Regitano; Mirele D Poleti; Aline S M Cesar; Gabriel C M Moreira; Gustavo Gasparin; Luiz L Coutinho
Journal:  BMC Mol Biol       Date:  2019-01-03       Impact factor: 2.946

6.  Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness.

Authors:  Sabrina Boudon; Joelle Henry-Berger; Isabelle Cassar-Malek
Journal:  Int J Mol Sci       Date:  2020-01-19       Impact factor: 5.923

  6 in total

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