Loading [Contrib]/a11y/accessibility-menu.js
Review Special Issues

Pin1 and neurodegeneration: a new player for prion disorders?

  • Received: 14 April 2015 Accepted: 03 July 2015 Published: 09 July 2015
  • Pin1 is a peptidyl-prolyl isomerase that catalyzes the cis/trans conversion of phosphorylated proteins at serine or threonine residues which precede a proline. The peptidyl-prolyl isomerization induces a conformational change of the proteins involved in cell signaling process. Pin1 dysregulation has been associated with some neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease and Huntington's disease. Proline-directed phosphorylation is a common regulator of these pathologies and a recent work showed that it is also involved in prion disorders. In fact, prion protein phosphorylation at the Ser-43-Pro motif induces prion protein conversion into a disease-associated form. Furthermore, phosphorylation at Ser-43-Pro has been observed to increase in the cerebral spinal fluid of sporadic Creutzfeldt-Jakob Disease patients. These findings provide new insights into the pathogenesis of prion disorders, suggesting Pin1 as a potential new player in the disease. In this paper, we review the mechanisms underlying Pin1 involvement in the aforementioned neurodegenerative pathologies focusing on the potential role of Pin1 in prion disorders.

    Citation: Elisa Isopi, Giuseppe Legname. Pin1 and neurodegeneration: a new player for prion disorders?[J]. AIMS Molecular Science, 2015, 2(3): 311-323. doi: 10.3934/molsci.2015.3.311

    Related Papers:

    [1] Anna V. Babii, Anna L. Arkhipova, Irina N. Andreichenko, Artyom V. Brigida, Svetlana N. Kovalchuk . A TaqMan PCR assay for detection of DGAT1 K232A polymorphism in cattle. AIMS Agriculture and Food, 2018, 3(3): 306-312. doi: 10.3934/agrfood.2018.3.306
    [2] Svyatoslav Lebedev, Elena Sheida, Irina Vershinina, Victoria Grechkina, Ilmira Gubaidullina, Sergey Miroshnikov, Oksana Shoshina . Use of chromium nanoparticles as a protector of digestive enzymes and biochemical parameters for various sources of fat in the diet of calves. AIMS Agriculture and Food, 2021, 6(1): 14-31. doi: 10.3934/agrfood.2021002
    [3] Rinat R. Gadiev, Danis D. Khaziev, Chulpan R. Galina, Albert R. Farrakhov, Kamil D. Farhutdinov, Irina Yu. Dolmatova, Marina A. Kazanina, Gulnara F. Latypova . The use of chlorella in goose breeding. AIMS Agriculture and Food, 2019, 4(2): 349-361. doi: 10.3934/agrfood.2019.2.349
    [4] Gad G. Yousef, Allan F. Brown, Ivette Guzman, James R. Ballington, Mary A. Lila . Variations in chlorogenic acid levels in an expanded gene pool of blueberries. AIMS Agriculture and Food, 2016, 1(3): 357-368. doi: 10.3934/agrfood.2016.3.357
    [5] Marcelo Augusto de Carvalho, Cíntia Sorane Good Kitzberger, Altamara Viviane de Souza Sartori, Marta de Toledo Benassi, Maria Brígida dos Santos Scholz, Clandio Medeiros da Silva . Free choice profiling sensory analysis and principal component analysis as tools to support an apple breeding program. AIMS Agriculture and Food, 2020, 5(4): 769-784. doi: 10.3934/agrfood.2020.4.769
    [6] George K. Symeon, Ioannis A. Giantsis, Melpomeni Avdi . Effects of different reproduction management protocols on the reproduction efficiency of three indigenous Greek sheep breeds. AIMS Agriculture and Food, 2024, 9(2): 472-482. doi: 10.3934/agrfood.2024027
    [7] Martha Tampaki, Georgia Koutouzidou, Katerina Melfou, Athanasios Ragkos, Ioannis A. Giantsis . The contrasting mosaic of consumers' knowledge on local plant genetic resources sustainability vis a vis the unawareness for indigenous farm animal breeds. AIMS Agriculture and Food, 2024, 9(2): 645-665. doi: 10.3934/agrfood.2024035
    [8] Site Noorzuraini Abd Rahman, Rosimah Nulit, Faridah Qamaruz Zaman, Khairun Hisam Nasir, Mohd Hafiz Ibrahim, Mohd Ramdzan Othman, Nur Idayu Abd Rahim, Nor Sufiah Sebaweh . Profile of the grain physical traits and physicochemical properties of selected Malaysian rice landraces for future use in a breeding program. AIMS Agriculture and Food, 2024, 9(4): 934-958. doi: 10.3934/agrfood.2024051
    [9] Hamida Mahroug, Adra Mouellef, Hayat Bourekoua, Fairouz Djeghim, Haroun Chenchouni, Abdelkader Benbelkacem, Mohamed Hadef El Okki, Awatif Fetouhi, Nedjla Silini, Ana María Calderón de la Barca . Breadmaking and protein characteristics of wheat (Triticum aestivum L.) genotypes tolerant against drought and heat in Algeria. AIMS Agriculture and Food, 2024, 9(2): 531-550. doi: 10.3934/agrfood.2024030
    [10] Yusuff Oladosu, Mohd Y Rafii, Fatai Arolu, Suganya Murugesu, Samuel Chibuike Chukwu, Monsuru Adekunle Salisu, Ifeoluwa Kayode Fagbohun, Taoheed Kolawole Muftaudeen, Asma Ilyani Kadar . Genetic diversity and utilization of ginger (Zingiber officinale) for varietal improvement: A review. AIMS Agriculture and Food, 2024, 9(1): 183-208. doi: 10.3934/agrfood.2024011
  • Pin1 is a peptidyl-prolyl isomerase that catalyzes the cis/trans conversion of phosphorylated proteins at serine or threonine residues which precede a proline. The peptidyl-prolyl isomerization induces a conformational change of the proteins involved in cell signaling process. Pin1 dysregulation has been associated with some neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease and Huntington's disease. Proline-directed phosphorylation is a common regulator of these pathologies and a recent work showed that it is also involved in prion disorders. In fact, prion protein phosphorylation at the Ser-43-Pro motif induces prion protein conversion into a disease-associated form. Furthermore, phosphorylation at Ser-43-Pro has been observed to increase in the cerebral spinal fluid of sporadic Creutzfeldt-Jakob Disease patients. These findings provide new insights into the pathogenesis of prion disorders, suggesting Pin1 as a potential new player in the disease. In this paper, we review the mechanisms underlying Pin1 involvement in the aforementioned neurodegenerative pathologies focusing on the potential role of Pin1 in prion disorders.


    Providing world’s population with food is one of the most acute issues these days. Due to climate change and depletion of natural resources food security keeps worsening worldwide [1,2]. Food security of every nation must touch upon different aspects of people’s life while consumption of organic products being the key point. Providing people with basic high-value protein products is one of the priority tasks of both livestock and processing industry. Animal breeding plays an important role in production of such important products as meat and milk. Sensible and balanced feeding of people depends, among other things, on the development and efficiency of animal breeding. In many countries, as well as in Russia, there is a tendency to reduce the livestock population. At the same time, providing people with beef is still one of the most difficult and important problems [3,4]. Increasing the production of high-quality meat should be carried out on the basis of all available reserves which include the increase in the livestock and poultry population, strengthening the fodder base, improving the quality of harvested feed, the use of resource-saving technologies, reducing production and labor costs, feed and funds per product unit [5,6,7,8,9,10,11,12,13,14].

    World experience shows that a significant increase in beef production can be achieved by means of intensification of livestock breeding. And first of all it can be done by creating conditions for increasing the level of animal productivity and maximum use of the genetic potential of livestock of both domestic and foreign selection [15]. In various regions of the Russian Federation the main amount of beef is produced by breeding dairy and combined breeds of cattle [16,17].

    Young animals in dairy cattle breeding are grown for meat using the technology of “indoors-outdoor feedlot”. First, it is necessary to create comfortable living conditions for calves in order to preserve their health and obtain high productivity. Secondly, older animals are able to adapt rather quickly to environmental factors. Finally, there is commercial importance as fattening young stock can be intensively grown at high rates of labor productivity and profitability. Also expenses for the construction of outdoor feedlots are relatively low and technical solutions are rather simple. However, the analysis of the feedlots activity shows that when rearing young animals for growing and fattening the productivity reduces sharply for a long period of time. This leads to irrational use of feed, reduced growth rate and, as a consequence, the loss of meat products. Therefore, technology of growing and fattening young animals requires further study in order to improve it.

    In this regard, the aim of the research was to assess both quantitative and qualitative indicators of meat productivity, depending on the use of different options for rearing and fattening of bull calves, namely indoors and on the outdoor feedlot in the conditions of the Republic of Bashkortostan.

    Ninety calves of 8-month age were selected on the principle of analogues to carry out a research and business experiment in “Akberdinskoye” Limited Liability Company of Iglinsky district of the Republic of Bashkortostan. The animals were divided into 6 groups. The first and the fourth groups were made of calves of black-and-white breed. The calves of Bestuzhev breed were in group two and five, and the 3rd and the 6th groups were made Simmental bull calves. Animals from groups 1, 2, 3 were kept on the outdoor feedlot. Calves from groups 4, 5, 6 were kept indoors. There was yard housing indoors. There were 15 animals having free access to self-filling drinking bowls and feeders in each room.

    The experience was conducted according to the requirements of animal breeding, health and sanitation.

    Animals were fed according to the diets made taking into account chemical composition of forages and their actual nutritional value according to recommendations [18].

    To assess meat productivity, control slaughter of 18-month-old bull calves (live weight being 457.8–511.9 kg) was carried out according to the “Guidelines for the evaluation of meat productivity and meat quality” [19].

    In order to study the morphological composition of meat carcass, the right half-carcasses were stripped. Then the content of flesh, bones and tendons in carcasses were determined. The carcass variety assortment was studied according to the classification of sausage production in which beef is divided into three classes: The highest grade is pure muscle tissue with no visible residues of other tissues and entities, in which fat content isn’t more than 6%; the Ist class has no more than 20% of fat; the IInd grade is all the other muscle tissue of the carcass, where there can be small veins, tendons and films.

    Physical and chemical parameters of meat were studied using generally accepted methods [20]: Determining moisture content in the samples by drying the sample to a constant weight at a temperature of 150 ± 2 ℃; protein content by the Kjeldahl method followed by photometry of the samples; fat content by extracting the dry weighing batch using the Soxhlet apparatus; ash content by burning in the muffle furnace.

    Most of the material obtained during the research was processed with “Statistica 10.0” (“Stat Soft Inc., ” USA) software package. The reliability was determined by the Student’s t-test.

    Morphological composition is an important indicator which determines the quality of meat carcass. At the same time, animal keeping and feeding technology influence the morphological composition of carcasses.

    The flesh part of the carcass is the most valuable in terms of nutritional value. It consists of muscle and fat tissue, and the greater their content, the higher the nutritional value of meat.

    The results of the studies prove that keeping conditions and genetic characteristics influence the morphological composition of the carcasses and the number of their individual parts.

    The data of Table 1 indicate that bull calves of Ⅳ-Ⅵ groups have the highest carcass flesh content. They significantly exceeded in weight their herd-mates by 6.3–16.1 kg (P > 0.05–P < 0.01) kept on the outdoor feedlot. It should be noted that among the studied breeds the carcasses of bull calves of Simmental breed had the largest weight of muscle tissue. In this indicator the calves of this breed surpassed their herd-mates of Black-and-white and Bestuzhev breeds by 12.0 kg (P < 0.01) and 6.6 kg (P < 0.05) when keeping animals on the outdoor feedlot and by 21.8 (P < 0.01) and 14.3 kg (P < 0.01) when keeping them indoors. A comparative analysis of the concentration of adipose tissue in carcasses, namely subcutaneous and intermuscular fat, revealed some differences in the nature of fat deposition depending on animal genotype. In particular, bull calves of Simmental breed kept indoors had 0.7–1.3 (P > 0.05–P > 0.05) kg of subcutaneous fat more and 0.3–0.9 kg (P > 0.05–P > 0.05) of intermuscular fat more in comparison with bull calves of Black-and-white and Bestuzhev breeds.

    Table 1.  Morphological composition of bull calf carcasses (m ± SE).
    Indicator Group (n = 3 in each group)
    Chilled carcass weight, kg 231.3 ± 2.16 240.2 ± 1.24 247.6 ± 1.15 239.2 ± 1.08 248.6 ± 0.75 265.9 ± 1.14
    Content in a carcass:
    Muscle tissue, kg 173.6 ± 1.26 179.0 ± 0.88 185.6 ± 1.95 179.9 ± 2.46 187.4 ± 1.18 201.7 ± 2.13
    % 75.06 ± 0.28 74.52 ± 0.46 74.96 ± 0.39 75.21 ± 0.21 75.38 ± 0.36 75.85 ± 0.28
    Adipose tissue (subcutaneous fat), kg 4.4 ± 0.09 4.8 ± 0.24 4.9 ± 0.19 4.6 ± 0.33 5.2 ± 0.18 5.9 ± 0.25
    % 1.90 ± 0.16 2.00 ± 0.08 1.98 ± 0.10 1.92 ± 0.07 2.09 ± 0.09 2.22 ± 0.11
    Intermuscular fat, kg 4.0 ± 0.54 4.6 ± 0.36 4.8 ± 0.45 4.6 ± 0.31 5.2 ± 0.12 5.5 ± 0.11
    % 1.73 1.92 1.94 1.92 2.09 2.07
    Bone tissue, kg 42.9 ± 0.86 44.6 ± 0.54 44.8 ± 0.72 43.2 ± 1.12 43.4 ± 1.42 44.8 ± 1.03
    % 18.54 ± 0.14 18.56 ± 0.06 18.09 ± 0.11 18.07 ± 0.12 17.46 ± 0.09 16.85 ± 0.13
    Tendons, kg 6.4 ± 0.34 7.2 ± 0.66 7.5 ± 0.52 6.9 ± 0.42 7.4 ± 0.27 8.0 ± 0.58
    % 2.77 ± 0.24 3.00 ± 0.14 3.03 ± 0.16 2.88 ± 0.09 2.98 ± 0.13 3.01 ± 0.11
    Fleshing index 4.2 4.2 4.4 4.4 4.6 4.8
    Flesh yield per 100 kg live weight, kg 39.6 40.0 40.3 39.8 40.6 41.2
    Ratio of edible and inedible parts of carcass, kg 3.7 3.6 3.7 3.8 3.9 4.1
    Note: In the outdoor feedlot: I—Black-and-white cattle; Ⅱ—Bestuzhev bull calves; Ⅲ—Simmental animals; kept indoors: Ⅳ—Black-and-white cattle; Ⅴ—Bestuzhev bull calves; Ⅵ—Simmental animals.

     | Show Table
    DownLoad: CSV

    The differences in the overall yield of bone tissue and tendons between the experimental groups were insignificant. At the same time, due to a higher carcass weight of animals of Bestuzhev and Simmental breeds, they surpassed their herd-mates of Black-and-white breed in absolute bone mass by 0.9–1.8%.

    An important indicator characterizing the meat quality of animals is fleshing index, which is determined by the flesh to bones ratio. The study results prove that the value of fleshing index of bull calf carcasses of Bestuzhev and Simmental breeds kept indoors is the highest and makes 4.6–4.8.

    The yield of flesh per 100 kg of pre-slaughter live weight was relatively high in all experimental groups. However, bull calves genotype as well as technology of their growing and fattening affected the yield of slaughter products. Thus, the yield of flesh per 100 kg of live weight of bull calves of Black-and-white breed kept on the outdoor feedlot was 39.6 kg, the flesh yield of Bestuzhev breed calves weighed 40.0 kg, the same indicator of Simmental breed calves was 40.3 kg; as for animals kept indoors, it was respectively 39.8; 40.6 and 41.2 kg which is higher by 0.7; 1.5 or 2.2 %.

    The flesh yield indicator affected the ratio of edible part weight to inedible part weight of the carcass, which was 3.7 for the bull calves of group Ⅰ; 3.6 for group Ⅱ; 3.7 for group Ⅲ; 3.8 for group Ⅳ; 3.9 for group Ⅴ and 4.1 for group Ⅵ.

    From the above material it can be concluded that meat quality of carcasses in bull calves of all groups was quite high, but the carcasses of bull calves of Black-and-white breed were more “bony”.

    It is well known that different anatomical parts of the carcass differ in a number of morphological parameters which affects their nutritional value, functional and technological properties and taste.

    In this respect the most valuable is the hip part. In our study the hip part made 35.5–36.3% of the total mass of the carcass. It is the yield of this cut that largely determines the quality of the carcass as a whole.

    The ratios of anatomical parts of bull calves of different breeds were studied. Different technologies were used during the period of growing and fattening of these bull calves. The intergroup differences in the intensity of their weight gain were defined (Table 2).

    Table 2.  The ratio of individual anatomical parts of the semi-carcasses (m ± SE).
    The anatomical part of the semi-carcass (n = 3 in each group)
    Neck Humeroscapular Back-rib Lumbar Hip
    Weight, kg % to weight Weight, kg % to weight Weight, kg % to weight Weight, kg % to weight Weight, kg % to weight
    11.3 9.8 20.2 17.4 31.9 27.6 10.4 9.0 41.8 36.2
    12.3 10.2 20.7 17.3 33.3 27.7 10.7 8.9 43.1 35.9
    12.4 10.0 21.7 17.5 34.0 27.5 11.8 9.5 43.9 35.5
    11.5 9.6 21.0 17.6 32.7 27.3 11.1 9.3 43.3 36.2
    12.3 9.9 21.8 17.5 33.8 27.2 11.4 9.2 45.0 36.2
    12.9 9.7 23.0 17.3 36.0 27.1 12.8 9.6 48.3 36.3
    Note: In the outdoor feedlot: I—Black-and-white cattle; Ⅱ—Bestuzhev bull calves; Ⅲ—Simmental animals; indoors: Ⅳ—Black-and-white cattle; Ⅴ—Bestuzhev bull calves; Ⅵ—Simmental animals.

     | Show Table
    DownLoad: CSV

    Thus, bull calves of Simmental breed had the advantage in absolute hip weight of the semi-carcass, regardless of the technology of their growing and fattening. At the same, they surpassed their herd-mates of Bestuzhev and Black-and-white breeds in hip weight by 0.8 kg (1.9%; P > 0.05) and 2.1 kg (5.0%; P > 0.05) kg when kept on outdoor feedlot and by 3.3 kg (7.3%; P > 0.05) and 5.0 kg (11.5%; P < 0.05) when kept indoors. There is some difference in weight of the same part of the semi-carcass of experimental animals, depending on their growing technology. The weight of this part of the semi-carcass of bull calves of Black-and-White breed is greater by 1.5 kg (3.6%), of Bestuzhev breed calves by 1.9 kg (4.4%), and of Simmental breed calves by 4.4 kg (10.0%) in comparison to young animals kept indoors.

    Regardless of keeping technology used during their growing and fattening period, Bull calves of Simmental breed surpassed the analogues of Black-and-White and Bestuzhev breeds in neck part weight by 1.1 and 1.4 and 0.1–0.6 kg, in a humeroscapular part weight by 1.5–2.0 and 1.0–1.2 kg; and in a back-rib part weight by 2.1 and 3.3 and 0.7–2.2 kg.

    Thus, the bull calves of Simmental breed had superiority over their herd-mates of Black-and-white and Bestuzhev breeds in the absolute weight of all natural anatomical parts of the half-carcass. The ratio of the carcasses cuts of experimental bull calves was determined by their breed and keeping technology.

    The established pattern had a positive effect on the increase in the yield of the edible part of the carcass by 1 kg of bones (Table 3).

    Table 3.  Flesh yield per 1 kg of bones when cutting semi-carcass into anatomical parts, kg (m ± SE).
    Group The anatomical part of the semi-carcass (n = 3 in each group)
    Neck Humeroscapular Back-rib Lumbar Hip
    4.40 3.89 3.35 6.28 4.47
    4.38 4.00 3.32 6.48 4.50
    4.64 4.11 3.31 6.69 4.60
    5.10 4.21 3.47 6.74 4.84
    5.22 4.15 3.56 6.48 4.83
    5.42 4.19 3.68 6.83 5.01
    Note: In the outdoor feedlot: I—Black-and-White cattle; Ⅱ—Bestuzhev bull calves; Ⅲ—Simmental animals; indoors: Ⅳ—Black-and-white cattle; Ⅴ—Bestuzhev bull calves; Ⅵ—Simmental animals.

     | Show Table
    DownLoad: CSV

    Data analysis shows that back-rib and humeroscapular parts of the half-carcass had the lowest flesh yield. The maximum flesh yield was revealed in the lumbar part in all studied groups.

    At the same time, Simmental bull calves grown on outdoor feedlot had superiority over their herd-mates of the Black-and-White and Bestuzhev breeds in a lumbar part yield by 0.41 kg (6.5%) and 0.21 kg (3.2%), and those grown indoors had superiority by 0.1 kg (1.3%) and 0.35 kg (5.4%), respectively.

    We get a fuller picture of meat qualities of an animal thanks to qualitative evaluation of carcass flesh depending on varieties and in accordance with sausage classification. Thus, taking into consideration the fact that variety and technological value of different carcass parts are not identical and depend on morphological structure, the ratio of muscle and fat tissue, fatness, age, breed and sex of an animal, the importance of this issue can not be overestimated. Further use of meat flesh by meat processing enterprises as well as the number and range of meat products are largely determined by its variety assortment.

    The data on the variety assortment of the carcass flesh of bull calves of different genotypes are presented in Table 4.

    Table 4.  Varietal assortment of the semi-carcass flesh of experimental young stock (m ± SE).
    Indicator Group (n = 3 in each group)
    Total flesh weight, kg 90.0 ± 2.19 93.8 ± 1.91 97.0 ± 2.25 94.6 ± 2.01 98.6 ± 2.11 106.0 ± 2.40
    Including the highest grade, kg 16.8 ± 0.54 18.9 ± 0.32 20.4 ± 0.44 18.0 ± 0.36 20.3 ± 0.34 22.9 ± 0.53
    % 18.67 20.15 21.03 19.03 20.59 21.60
    The first grade, kg 41.8 ± 1.11 44.3 ± 1.06 46.5 ± 1.20 44.0 ± 0.96 46.7 ± 1.34 50.8 ± 1.36
    % 46.43 47.23 46.40 46.51 47.36 47.93
    The second grade, kg 31.4 ± 0.46 30.6 ± 0.52 30.1 ± 0.59 32.6 ± 0.63 31.6 ± 0.43 32.3 ± 0.51
    % 34.90 32.62 31.03 34.46 32.05 30.47
    Note: In the outdoor feedlot: I—Black-and-White cattle; Ⅱ—Bestuzhev bull calves; Ⅲ—Simmental animals; indoors: Ⅳ—Black-and-white cattle; Ⅴ—Bestuzhev bull calves; Ⅵ—Simmental animals.

     | Show Table
    DownLoad: CSV

    The bull calves of Black-and-White breed kept on the outdoor feedlot were inferior to herd-mates of Bestuzhev and Simmental breeds in the absolute flesh weight of the highest grade by 12.5 and 21.4% (P < 0.05 and P < 0.05) and the first grade by 6, 0 and 11.2% (P > 0.05 and P > 0.05), respectively, and when kept indoors the difference in the flesh content of the highest grade was 12.8 and 27.2% (P < 0.05 and P < 0.01) and the first grade 6.1 and 15.5% (P > 0.05 and P < 0.05).

    The quality of the flesh got depends on both the number and ratio of its components and chemical composition. It is known that chemical composition of meat depends on various factors, the main of which are animals breed, sex, age, fatness, as well as their feeding and keeping conditions.

    Therefore, it is important to study chemical composition of meat as one of the important indicators characterizing meat products quality.

    The data of Table 5 show that the meat obtained from the bull calves kept indoors during the fattening period was characterized by the highest content of dry matter and fat. Their advantage in the content of dry matter in the average sample of minced meat over herd-mates kept on the outdoor feedlot was 2.07–2.21%. These differences are probably due to varying degrees of fat deposits in the body of experimental animals.

    Table 5.  Chemical composition of minced meat, % (m ± SE).
    Indicators The group of experimental bull calves (n = 3 in each group)
    Weight fraction, %
    Moisture 70.83 ± 0.90 70.51 ± 1.75 70.45 ± 0.85 68.62 ± 1.16 68.44 ± 1.17 68.26 ± 1.08
    Dry matter 29.17 ± 0.90 29.49 ± 1.75 29.55 ± 0.85 31.38 ± 1.16 31.56 ± 1.17 31.74 ± 1.08
    Including: protein 18.48 ± 0.94 18.52 ± 0.51 18.53 ± 0.48 18.26 ± 0.56 18.32 ± 1.51 18.46 ± 1.62
    Fat 9.78 ± 0.28 10.05 ± 0.42 10.11 ± 0.35 12.11 ± 0.21 12.33 ± 0.36 12.35 ± 0.29
    Ash 0.91 ± 0.03 0.92 ± 0.0.6 0.91 ± 0.02 0.91 ± 0.5 0.91 ± 0.03 0.93 ± 0.04
    Energy value, kJ 677.32 688.17 690.60 761.49 770.79 773.88

     | Show Table
    DownLoad: CSV

    In general, beef with good nutritional values was obtained from young animals of all experimental groups.

    The ratio of protein and fat in muscle tissue of experimental bull calves in group Ⅰ was 1:0.53, in group Ⅱ it was 1:0.54, in group Ⅲ—1:0.55, in group Ⅳ—1:0.66, in group Ⅴ—1:0.67 and in group Ⅵ it was 1:0.67. Animals of Bestuzhevskoaya and Simmental breeds had the best ratio of protein and fat in muscle tissue.

    Energy value of the average minced beef sample got from bull calves of groups Ⅰ, Ⅱ and Ⅲ was inferior to their herd-mates of groups Ⅳ, Ⅴ, and Ⅵ by 84.17 kJ, 82.62 kJ and 83.28 kJ, respectively.

    During the research it was found that the technological factor and genetic characteristics of animals had a significant impact on production efficiency. Keeping animals indoors helps to realize their inherent genetic potential of meat productivity. Quantitative and qualitative indicators of meat products prove a positive impact of keeping bull calves indoors. The obtained data are consistent with the data of other researchers and make it possible to assert that regardless of the breed the animals kept indoors have better indicators of meat productivity than animals kept on the outdoor feedlot [21,22,23,24].

    It should be noted that keeping bull calves indoors during their period of growing and fattening for meat helps to obtain beef with optimal characteristics. The ratio of carcass cuts of experimental bull calves was determined by their breed and keeping technology. The bull calf carcasses of Simmental breed were characterized by maximum meat yield of the highest grades. The bull calf carcasses of Bestuzhev breed occupied an intermediate position meat yield of the highest grades. In the bull calf semi-carcasses of Black-and-White breed there was the maximum meat yield of the second grade. This advantage in the value of the studied indicator over the herd-mates of Simmental and Bestuzhev breeds was 2.3 and 3.9% when keeping experimental animals both on outdoor feedlot and indoors, which is consistent with the [25].

    According to the analysis of the average carcass flesh samples, there are certain differences in chemical composition between groups. It can be explained by the fact that the process of nutrient enrichment in the body of bull calves of different genotypes kept under different conditions, took place differently. In general, the chemical composition of the flesh parts of the bull calf carcasses of all groups indicates a high nutritional value. The bull calves grown indoors had some advantage.

    Keeping bull calves indoors can improve the post-slaughter indicators of meat productivity and improve beef quality. The study of the morphological composition of carcasses showed that muscle tissue content in the carcasses of animals fed indoors was 179.9–201.7 kg, while those in the carcasses of young animals kept on the outdoor feedlot was 173.6–185.6 kg. There is a greater content of fat tissue in carcasses of bull calves grown and fed indoors. So the total amount of raw fat of bull calves kept indoors was 23.4–26.3 kg, of bull calves kept on the outdoor feedlot it was 20.7–23.7 kg. The bull calves of Simmental breed had superiority over their herd-mates of the Black-and-white and Bestuzhev breeds in the absolute weight of most anatomical parts of the semi-carcass. It is more preferable to fatten young animals of combined breeds for meat producing. Thus, growing and fattening the bull calves of Simmental breed indoors allowed to get the carcasses with the best morphological composition and variety assortment, as well as with the optimal ratio of protein and fat.

    The authors declare no conflict of interest.

    [1] Lu KP, Hanes SD, Hunter T (1996) A human peptidyl-prolyl isomerase essential for regulation of mitosis. Nature 380: 544-547. doi: 10.1038/380544a0
    [2] Lu KP, Zhou XZ (2007) The prolyl isomerase PIN1: a pivotal new twist in phosphorylation signalling and disease. Nat Rev Mol Cell Biol 8: 904-916. doi: 10.1038/nrm2261
    [3] Liou Y-C, Sun A, Ryo A, et al. (2003) Role of the prolyl isomerase Pin1 in protecting against age-dependent neurodegeneration. Nature 424: 556-561. doi: 10.1038/nature01832
    [4] Rudrabhatla P (2014) Regulation of neuronal cytoskeletal protein phosphorylation in neurodegenerative diseases. J Alzheimers Dis 41: 671-684.
    [5] Hardy J, Selkoe DJ (2002) The amyloid hypothesis of Alzheimer's disease: progress and problems on the road to therapeutics. Science 297: 353-356. doi: 10.1126/science.1072994
    [6] Anderson JP, Walker DE, Goldstein JM, et al. (2006) Phosphorylation of Ser-129 is the dominant pathological modification of alpha-synuclein in familial and sporadic Lewy body disease. J Biol Chem 281: 29739-29752. doi: 10.1074/jbc.M600933200
    [7] Kardos J, Kiss B, Micsonai A, et al. (2015) Phosphorylation as conformational switch from the native to amyloid state: trp-cage as a protein aggregation model. J Phys Chem B 119: 2946-2955. doi: 10.1021/jp5124234
    [8] Grison A, Mantovani F, Comel A, et al. (2011) Ser46 phosphorylation and prolyl-isomerase Pin1-mediated isomerization of p53 are key events in p53-dependent apoptosis induced by mutant huntingtin. P Natl Acad Sci U S A 108: 17979-17984. doi: 10.1073/pnas.1106198108
    [9] Rudrabhatla P, Pant HC (2010) Phosphorylation-specific peptidyl-prolyl isomerization of neuronal cytoskeletal proteins by Pin1: implications for therapeutics in neurodegeneration. J Alzheimers Dis 19: 389-403.
    [10] Driver JA, Zhou XZ, Lu KP (2014) Regulation of protein conformation by Pin1 offers novel disease mechanisms and therapeutic approaches in Alzheimer's disease. Discov Med 17: 93-99.
    [11] Nakamura K, Greenwood A, Binder L, et al. (2012) Proline isomer-specific antibodies reveal the early pathogenic tau conformation in Alzheimer's disease. Cell 149: 232-244. doi: 10.1016/j.cell.2012.02.016
    [12] Giannopoulos PN, Robertson C, Jodoin J, et al. (2009) Phosphorylation of prion protein at serine 43 induces prion protein conformational change. J Neurosci 29: 8743-8751. doi: 10.1523/JNEUROSCI.2294-09.2009
    [13] Liou Y-C, Zhou XZ, Lu KP (2011) Prolyl isomerase Pin1 as a molecular switch to determine the fate of phosphoproteins. Trends Biochem Sci 36: 501-514. doi: 10.1016/j.tibs.2011.07.001
    [14] Bayer E, Goettsch S, Mueller JW, et al. (2003) Structural analysis of the mitotic regulator hPin1 in solution: insights into domain architecture and substrate binding. J Biol Chem 278: 26183-26193. doi: 10.1074/jbc.M300721200
    [15] Matena A, Sinnen C, van den Boom J, et al. (2013) Transient domain interactions enhance the affinity of the mitotic regulator Pin1 toward phosphorylated peptide ligands. Structure 21: 1769-1777. doi: 10.1016/j.str.2013.07.016
    [16] Vöhringer-Martinez E, Verstraelen T, Ayers PW (2014) The influence of Ser-154, Cys-113, and the phosphorylated threonine residue on the catalytic reaction mechanism of Pin1. J Phys Chem B 118: 9871-9880. doi: 10.1021/jp505638w
    [17] Pastorino L, Sun A, Lu P-J, et al. (2006) The prolyl isomerase Pin1 regulates amyloid precursor protein processing and amyloid-beta production. Nature 440: 528-534. doi: 10.1038/nature04543
    [18] Zita MM, Marchionni I, Bottos E, et al. (2007) Post-phosphorylation prolyl isomerisation of gephyrin represents a mechanism to modulate glycine receptors function. EMBO J 26: 1761-1771. doi: 10.1038/sj.emboj.7601625
    [19] Taylor JP, Hardy J, Fischbeck KH (2002) Toxic proteins in neurodegenerative disease. Science 296: 1991-1995. doi: 10.1126/science.1067122
    [20] Kim S, Nollen EA, Kitagawa K, et al. (2002) Polyglutamine protein aggregates are dynamic. Nat Cell Biol 4: 826-831. doi: 10.1038/ncb863
    [21] Soto C, Estrada LD (2008) Protein misfolding and neurodegeneration. Arch Neurol 65: 184-189.
    [22] Tenreiro S, Eckermann K, Outeiro TF (2014) Protein phosphorylation in neurodegeneration: friend or foe? Front Mol Neurosci 7: 42.
    [23] Brundin P, Melki R, Kopito R (2010) Prion-like transmission of protein aggregates in neurodegenerative diseases. Nat Rev Mol Cell Biol 11: 301-307.
    [24] Brettschneider J, Del Tredici K, Lee VM, et al. (2015) Spreading of pathology in neurodegenerative diseases: a focus on human studies. Nat Rev Neurosci 16: 109-120. doi: 10.1038/nrn3887
    [25] LaFerla FM (2010) Pathways linking Abeta and tau pathologies. Biochem Soc Trans 38: 993-995. doi: 10.1042/BST0380993
    [26] Iqbal K, Grundke-Iqbal I (2010) Alzheimer's disease, a multifactorial disorder seeking multitherapies. Alzheimers Dement 6: 420-424. doi: 10.1016/j.jalz.2010.04.006
    [27] Rudrabhatla P, Jaffe H, Pant HC (2011) Direct evidence of phosphorylated neuronal intermediate filament proteins in neurofibrillary tangles (NFTs): phosphoproteomics of Alzheimer's NFTs. FASEB J 25: 3896-3905. doi: 10.1096/fj.11-181297
    [28] Huang Y, Mucke L (2012) Alzheimer mechanisms and therapeutic strategies. Cell 148: 1204-1222. doi: 10.1016/j.cell.2012.02.040
    [29] Cancino GI, Miller FD, Kaplan DR (2013) p73 haploinsufficiency causes tau hyperphosphorylation and tau kinase dysregulation in mouse models of aging and Alzheimer's disease. Neurobiol Aging 34: 387-399. doi: 10.1016/j.neurobiolaging.2012.04.010
    [30] Sultana R, Boyd-Kimball D, Poon HF, et al. (2006) Oxidative modification and down-regulation of Pin1 in Alzheimer's disease hippocampus: A redox proteomics analysis. Neurobiol Aging 27: 918-925. doi: 10.1016/j.neurobiolaging.2005.05.005
    [31] Chen C-H, Li W, Sultana R, et al. (2015) Pin1 cysteine-113 oxidation inhibits its catalytic activity and cellular function in Alzheimer's disease. Neurobiol Dis 76: 13-23. doi: 10.1016/j.nbd.2014.12.027
    [32] Innes BT, Sowole MA, Gyenis L, et al. (2015) Peroxide-mediated oxidation and inhibition of the peptidyl-prolyl isomerase Pin1. Biochim Biophys Acta 1852: 905-912. doi: 10.1016/j.bbadis.2014.12.025
    [33] Binder LI, Guillozet-Bongaarts AL, Garcia-Sierra F, et al. (2005) Tau, tangles, and Alzheimer's disease. Biochim Biophys Acta 1739: 216-223. doi: 10.1016/j.bbadis.2004.08.014
    [34] Gendron TF, Petrucelli L (2009) The role of tau in neurodegeneration. Mol Neurodegener 4: 13. doi: 10.1186/1750-1326-4-13
    [35] Kimura T, Tsutsumi K, Taoka M, et al. (2013) Isomerase Pin1 stimulates dephosphorylation of tau protein at cyclin-dependent kinase (Cdk5)-dependent Alzheimer phosphorylation sites. J Biol Chem 288: 7968-7977. doi: 10.1074/jbc.M112.433326
    [36] Yotsumoto K, Saito T, Asada A, et al. (2009) Effect of Pin1 or microtubule binding on dephosphorylation of FTDP-17 mutant Tau. J Biol Chem 284: 16840-16847. doi: 10.1074/jbc.M109.003277
    [37] Smet C, Sambo A-V, Wieruszeski J-M, et al. (2004) The peptidyl prolyl cis/trans-isomerase Pin1 recognizes the phospho-Thr212-Pro213 site on Tau. Biochemistry 43: 2032-2040. doi: 10.1021/bi035479x
    [38] Wang J-Z, Zhang Y (2015) Configuration-specific immunotherapy targeting cis pThr231-Pro232 tau for Alzheimer disease. J Neurol Sci 348: 253-255. doi: 10.1016/j.jns.2014.11.011
    [39] Yuan A, Sasaki T, Rao MV, et al. (2009) Neurofilaments form a highly stable stationary cytoskeleton after reaching a critical level in axons. J Neurosci 29: 11316-11329. doi: 10.1523/JNEUROSCI.1942-09.2009
    [40] Nixon RA, Shea TB (1992) Dynamics of neuronal intermediate filaments: a developmental perspective. Cell Motil Cytoskeleton 22: 81-91. doi: 10.1002/cm.970220202
    [41] Giasson BI, Mushynski WE (1997) Study of proline-directed protein kinases involved in phosphorylation of the heavy neurofilament subunit. J Neurosci 17: 9466-9472.
    [42] Haass C, Kaether C, Thinakaran G, et al. (2012) Trafficking and proteolytic processing of APP. Cold Spring Harb Perspect Med 2: a006270.
    [43] Pastorino L, Ma SL, Balastik M, et al. (2012) Alzheimer's disease-related loss of Pin1 function influences the intracellular localization and the processing of AβPP. J Alzheimers Dis 30: 277-297.
    [44] Lee M-S, Kao S-C, Lemere CA, et al. (2003) APP processing is regulated by cytoplasmic phosphorylation. J Cell Biol 163: 83-95. doi: 10.1083/jcb.200301115
    [45] Ma SL, Pastorino L, Zhou XZ, et al. (2012) Prolyl isomerase Pin1 promotes amyloid precursor protein (APP) turnover by inhibiting glycogen synthase kinase-3β (GSK3β) activity: novel mechanism for Pin1 to protect against Alzheimer disease. J Biol Chem 287: 6969-6973. doi: 10.1074/jbc.C111.298596
    [46] Cisbani G, Cicchetti F (2012) An in vitro perspective on the molecular mechanisms underlying mutant huntingtin protein toxicity. Cell Death Dis 3: e382. doi: 10.1038/cddis.2012.121
    [47] Ross CA, Aylward EH, Wild EJ, et al. (2014) Huntington disease: natural history, biomarkers and prospects for therapeutics. Nat Rev Neurol 10: 204-216. doi: 10.1038/nrneurol.2014.24
    [48] Bertoni A, Giuliano P, Galgani M, et al. (2011) Early and late events induced by polyQ-expanded proteins: identification of a common pathogenic property of polYQ-expanded proteins. J Biol Chem 286: 4727-4741. doi: 10.1074/jbc.M110.156521
    [49] Bae B-I, Xu H, Igarashi S, et al. (2005) p53 mediates cellular dysfunction and behavioral abnormalities in Huntington's disease. Neuron 47: 29-41. doi: 10.1016/j.neuron.2005.06.005
    [50] Sorrentino G, Comel A, Mantovani F, et al. (2014) Regulation of mitochondrial apoptosis by Pin1 in cancer and neurodegeneration. Mitochondrion 19 Pt A: 88-96.
    [51] Mantovani F, Zannini A, Rustighi A, et al. (2015) Interaction of p53 with prolyl isomerases: Healthy and unhealthy relationships. Biochim Biophys Acta [in press].
    [52] Sorrentino G, Mioni M, Giorgi C, et al. (2013) The prolyl-isomerase Pin1 activates the mitochondrial death program of p53. Cell Death Differ 20: 198-208. doi: 10.1038/cdd.2012.112
    [53] Beitz JM (2014) Parkinson's disease: a review. Front Biosci 6: 65-74.
    [54] Dauer W, Przedborski S (2003) Parkinson's disease: mechanisms and models. Neuron 39: 889-909. doi: 10.1016/S0896-6273(03)00568-3
    [55] Fujiwara H, Hasegawa M, Dohmae N, et al. (2002) alpha-Synuclein is phosphorylated in synucleinopathy lesions. Nat Cell Biol 4: 160-164.
    [56] Sato H, Kato T, Arawaka S (2013) The role of Ser129 phosphorylation of α-synuclein in neurodegeneration of Parkinson's disease: a review of in vivo models. Rev Neurosci 24: 115-123.
    [57] Ryo A, Togo T, Nakai T, et al. (2006) Prolyl-isomerase Pin1 accumulates in lewy bodies of parkinson disease and facilitates formation of alpha-synuclein inclusions. J Biol Chem 281: 4117-4125. doi: 10.1074/jbc.M507026200
    [58] Ghosh A, Saminathan H, Kanthasamy A, et al. (2013) The peptidyl-prolyl isomerase Pin1 up-regulation and proapoptotic function in dopaminergic neurons: relevance to the pathogenesis of Parkinson disease. J Biol Chem 288: 21955-21971. doi: 10.1074/jbc.M112.444224
    [59] Lee S-J, Kim D-C, Choi B-H, et al. (2006) Regulation of p53 by activated protein kinase C-delta during nitric oxide-induced dopaminergic cell death. J Biol Chem 281: 2215-2224. doi: 10.1074/jbc.M509509200
    [60] Martin LJ, Pan Y, Price AC, et al. (2006) Parkinson's disease alpha-synuclein transgenic mice develop neuronal mitochondrial degeneration and cell death. J Neurosci 26: 41-50. doi: 10.1523/JNEUROSCI.4308-05.2006
    [61] Mogi M, Kondo T, Mizuno Y, et al. (2007) p53 protein, interferon-gamma, and NF-kappaB levels are elevated in the parkinsonian brain. Neurosci Lett 414: 94-97. doi: 10.1016/j.neulet.2006.12.003
    [62] Prusiner SB (1988) Molecular structure, biology, and genetics of prions. Adv Virus Res 35: 83-136. doi: 10.1016/S0065-3527(08)60709-5
    [63] Prusiner SB (1991) Molecular biology of prion diseases. Science 252: 1515-1522. doi: 10.1126/science.1675487
    [64] Prusiner SB (1994) Molecular biology and genetics of prion diseases. Philos Trans R Soc Lond B Biol Sci 343: 447-463. doi: 10.1098/rstb.1994.0043
    [65] Prusiner SB (2001) Shattuck lecture--neurodegenerative diseases and prions. New Engl J Med 344: 1516-1526. doi: 10.1056/NEJM200105173442006
    [66] Zhou Z, Xiao G (2013) Conformational conversion of prion protein in prion diseases. Acta Biochim Biophys Sin 45: 465-476. doi: 10.1093/abbs/gmt027
    [67] Negro A, Meggio F, Bertoli A, et al. (2000) Susceptibility of the prion protein to enzymic phosphorylation. Biochem Biophys Res Commun 271: 337-341. doi: 10.1006/bbrc.2000.2628
    [68] Wang G-R, Shi S, Gao C, et al. (2010) Changes of tau profiles in brains of the hamsters infected with scrapie strains 263 K or 139 A possibly associated with the alteration of phosphate kinases. BMC Infect Dis 10: 86. doi: 10.1186/1471-2334-10-86
    [69] Schmitz M, Lüllmann K, Zafar S, et al. (2014) Association of prion protein genotype and scrapie prion protein type with cellular prion protein charge isoform profiles in cerebrospinal fluid of humans with sporadic or familial prion diseases. Neurobiol Aging 35: 1177-1188. doi: 10.1016/j.neurobiolaging.2013.11.010
    [70] Rouget R, Sharma G, LeBlanc AC (2015) Cyclin-dependent Kinase 5 Phosphorylation of Familial Prion Protein Mutants Exacerbates Conversion into Amyloid Structure. J Biol Chem 290: 5759-5771. doi: 10.1074/jbc.M114.630699
    [71] Trevitt CR, Hosszu LLP, Batchelor M, et al. (2014) N-terminal domain of prion protein directs its oligomeric association. J Biol Chem 289: 25497-25508. doi: 10.1074/jbc.M114.566588
    [72] Supattapone S, Muramoto T, Legname G, et al. (2001) Identification of two prion protein regions that modify scrapie incubation time. J Virol 75: 1408-1413. doi: 10.1128/JVI.75.3.1408-1413.2001
    [73] Frankenfield KN, Powers ET, Kelly JW (2005) Influence of the N-terminal domain on the aggregation properties of the prion protein. Protein Sci 14: 2154-2166. doi: 10.1110/ps.051434005
    [74] Uchida T, Takamiya M, Takahashi M, et al. (2003) Pin1 and Par14 peptidyl prolyl isomerase inhibitors block cell proliferation. Chem Biol 10: 15-24. doi: 10.1016/S1074-5521(02)00310-1
  • This article has been cited by:

    1. Vasily Prystupa, Olga Krotova, Diana Torosyan, Olga Sangadzhieva, Kermen Khalgaeva, 2023, Chapter 72, 978-3-031-21218-5, 646, 10.1007/978-3-031-21219-2_72
    2. Alexandra Marchenko, Elena Moskalenko, Elena Arakcheeva, Natalia Bychenko, 2022, Chapter 5, 978-3-030-91404-2, 35, 10.1007/978-3-030-91405-9_5
    3. ГОРЛОВ, И.Ф., СЛОЖЕНКИНА, М.И., НИКОЛАЕВ, Д.В., КНЯЖЕЧЕНКО, О.А., МОСОЛОВА, Д.А., ШАХБАЗОВА, О.П., РАДЖАБОВ, Р.Г., RELATIONSHIP OF MEAT PRODUCTIVITY AND PRESLAUGHTER WEIGHT OF BULLS DEPENDING ON THE INTENSITY OF GROWING, 2022, 00269034, 38, 10.33943/MMS.2022.30.13.007
    4. Anna Karamaeva, Sergey Karamaev, Nina Chupsheva, Roman Ershov, 2023, Chapter 347, 978-3-031-21431-8, 3140, 10.1007/978-3-031-21432-5_347
    5. Vasily Prystupa, Olga Krotova, Svetlana Yandyuk, Altana Ubushieva, Arslang Khakhlinov, 2023, Chapter 30, 978-3-031-21218-5, 290, 10.1007/978-3-031-21219-2_30
    6. Vasily Prystupa, Olga Krotova, Boris Ubushaev, Konstantin Savenkov, Natalia Moroz, Maria Savenkova, V.I. Pakhomov, A.N. Altybayev, M. Petković, T.A. Maltseva, Formation of meat productivity in descendants of Kalmyk breed improver bulls, 2024, 113, 2117-4458, 02022, 10.1051/bioconf/202411302022
    7. Vasily Prystupa, Olga Krotova, Konstantin Savenkov, Ruslan Azaev, Danzan Mashtykov, Nikita Boraev, M.-T. Liong, I.V. Tkacheva, Beef production in conditions of stable-pasture and industrial technologies in breeding farms, 2024, 84, 2117-4458, 01051, 10.1051/bioconf/20248401051
    8. I. P. Prokhorov, Yu. V. Shoshina, O. A. Kalmykova, V. N. Lukyanov, Conversion of protein and feed energy into food protein and meat fat in steers of Simmental breed, 2023, 20747454, 42, 10.33920/sel-03-2306-05
    9. Murat Ulimbashev, Irina Tletseruk, Oksana Krasnova, Zemfira Pskhatsieva, Nina Konik, O. Loretts, I. Donnik, Z. Abbas Rao, A. Ruchkin, V. Kukhar, The first results of the use of the gene pool of the Kalmyk breed on the brown stock of Brown Swiss cattle, 2024, 108, 2117-4458, 01012, 10.1051/bioconf/202410801012
    10. Natalia Gizatova, Albert Gizatov, Liliya Zubairova, Irina Mironova, Azat Nigmatyanov, Yuliya Chernyshenko, Alexey Pleshkov, Development of technology for the production of sausage produce using secondary collagen-containing raw materials, 2021, 10, 2182-1054, 282, 10.7455/ijfs/10.2.2021.a1
  • Reader Comments
  • © 2015 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(6523) PDF downloads(978) Cited by(0)

Figures and Tables

Figures(1)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog