Measurement of inclusive charged current interactions on carbon in a few-GeV neutrino beam

The SciBooNE Collaboration reports a measurement of inclusive charged current interactions of muon neutrinos on carbon with an average energy of 0.8 GeV using the Fermilab Booster Neutrino Beam. We compare our measurement with two neutrino interaction simulations: NEUT and NUANCE. The charged current interaction rates (product of flux and cross section) are extracted by fitting the muon kinematics, with a precision of 6-15% for the energy dependent and 3% for the energy integrated analyses. We also extract CC inclusive interaction cross sections from the observed rates, with a precision of 10-30% for the energy dependent and 8% for the energy integrated analyses. This is the first measurement of the CC inclusive cross section on carbon around 1 GeV. These results can be used to convert previous SciBooNE cross section ratio measurements to absolute cross section values.Comment: 21 pages, 16 figures. Accepted by Phys. Rev. D. Minor revisions to match the accepted versio

Search for Charged Current Coherent Pion Production on Carbon in a Few-GeV Neutrino Beam

The SciBooNE Collaboration has performed a search for charged current coherent pion production from muon neutrinos scattering on carbon, \nu_\mu ^{12}C \to \mu^- ^{12}C \pi^+, with two distinct data samples. No evidence for coherent pion production is observed. We set 90% confidence level upper limits on the cross section ratio of charged current coherent pion production to the total charged current cross section at 0.67\times 10^{-2} at mean neutrino energy 1.1 GeV and 1.36\times 10^{-2} at mean neutrino energy 2.2 GeV.Comment: 18 pages, 16 figures, Minor revisions to match version accepted for publication in Physical Review

Experimental study of the atmospheric neutrino backgrounds for proton decay to positron and neutral pion searches in water Cherenkov detectors

The atmospheric neutrino background for proton decay to positron and neutral pion in ring imaging water Cherenkov detectors is studied with an artificial accelerator neutrino beam for the first time. In total, about 314,000 neutrino events corresponding to about 10 megaton-years of atmospheric neutrino interactions were collected by a 1,000 ton water Cherenkov detector (KT). The KT charged-current single neutral pion production data are well reproduced by simulation programs of neutrino and secondary hadronic interactions used in the Super-Kamiokande (SK) proton decay search. The obtained proton to positron and neutral pion background rate by the KT data for SK from the atmospheric neutrinos whose energies are below 3 GeV is about two per megaton-year. This result is also relevant to possible future, megaton-scale water Cherenkov detectors.Comment: 13 pages, 16 figure

Measurement of the asymmetries in 3He→ \overrightarrow{\sf He}(¯e, e′p)d and 3He→ \overrightarrow{\sf He}(¯e, e′p)np

Abstract.: The electron target asymmetries A || and A⊥ with target spin parallel and perpendicular to the momentum transfer \ensuremath{\boldsymbol{q}} were measured for both the two- and three-body breakup of 3He in the 3 $\overrightarrow{\rm He}$ (¯e, e'p)-reaction. Polarized electrons were scattered off polarized 3He in the quasielastic regime in parallel kinematics with the scattered electron and the knocked-out proton detected using the Three-Spectrometer Facility at MAMI. The results are compared to Faddeev calculations which take into account Final-State Interactions as well as Meson Exchange Currents. The experiment confirms the prediction of a large effect of Final-State Interactions in the asymmetry of the three-body breakup and of an almost negligible one for the two-body breaku

Search for coherent charged pion production in neutrino-carbon interactions

We report the result from a search for charged-current coherent pion production induced by muon neutrinos with a mean energy of 1.3 GeV. The data are collected with a fully active scintillator detector in the K2K long-baseline neutrino oscillation experiment. No evidence for coherent pion production is observed and an upper limit of $0.60 \times 10^{-2}$ is set on the cross section ratio of coherent pion production to the total charged-current interaction at 90% confidence level. This is the first experimental limit for coherent charged pion production in the energy region of a few GeV.Comment: 5 pages, 4 figure

Measurement of single charged pion production in the charged-current interactions of neutrinos in a 1.3 GeV wide band beam

Single charged pion production in charged-current muon neutrino interactions with carbon is studied using data collected in the K2K long-baseline neutrino experiment. The mean energy of the incident muon neutrinos is 1.3 GeV. The data used in this analysis are mainly from a fully active scintillator detector, SciBar. The cross section for single $\pi^{+}$ production in the resonance region ($W<2$ GeV/$c^2$) relative to the charged-current quasi-elastic cross section is found to be 0.734 $^{+0.140}_{-0.153}$. The energy-dependent cross section ratio is also measured. The results are consistent with a previous experiment and the prediction of our model.Comment: 15 pages, 12 figures, 7 tables. Uses revtex4. Minor revisions to match version accepted for publication in Physical Review

Deprescribing interventions and their impact on medication adherence in community-dwelling older adults with polypharmacy: a systematic review

Background: Polypharmacy, and the associated adverse drug events such as non-adherence to prescriptions, is a common problem for elderly people living with multiple comorbidities. Deprescribing, i.e. the gradual withdrawal from medications with supervision by a healthcare professional, is regarded as a means of reducing adverse effects of multiple medications including non-adherence. This systematic review examines the evidence of deprescribing as an effective strategy for improving medication adherence amongst older, community dwelling adults. Methods: A mixed methods review was undertaken. Eight bibliographic database and two clinical trials registers were searched between May and December 2017. Results were double screened in accordance with pre-defined inclusion/exclusion criteria related to polypharmacy, deprescribing and adherence in older, community dwelling populations. The Mixed Methods Appraisal Tool (MMAT) was used for quality appraisal and an a priori data collection instrument was used. For the quantitative studies, a narrative synthesis approach was taken. The qualitative data was analysed using framework analysis. Findings were integrated using a mixed methods technique. The review was performed in accordance with the PRISMA reporting statement. Results: A total of 22 original studies were included, of which 12 were RCTs. Deprescribing with adherence as an outcome measure was identified in randomised controlled trials (RCTs), observational and cohort studies from 13 countries between 1996 and 2017. There were 17 pharmacy-led interventions; others were led by General Practitioners (GP) and nurses. Four studies demonstrated an overall reduction in medications of which all studies corresponded with improved adherence. A total of thirteen studies reported improved adherence of which 5 were RCTs. Adherence was reported as a secondary outcome in all but one study. Conclusions: There is insufficient evidence to show that deprescribing improves medication adherence. Only 13 studies (of 22) reported adherence of which only 5 were randomised controlled trials. Older people are particularly susceptible to non-adherence due to multi-morbidity associated with polypharmacy. Bio-psycho-social factors including health literacy and multi-disciplinary team interventions influence adherence. The authors recommend further study into the efficacy and outcomes of medicines management interventions. A consensus on priority outcome measurements for prescribed medications is indicated

Indication of Electron Neutrino Appearance from an Accelerator-Produced Off-Axis Muon Neutrino Beam

The T2K experiment observes indications of nu(mu) -> nu(mu) e appearance in data accumulated with 1.43 x 10(20) protons on target. Six events pass all selection criteria at the far detector. In a three-flavor neutrino oscillation scenario with |Delta m(23)(2)| = 2.4 x 10(-3) eV(2), sin(2)2 theta(23) = 1 and sin(2)2 theta(13) = 0, the expected number of such events is 1.5 +/- 0.3(syst). Under this hypothesis, the probability to observe six or more candidate events is 7 x 10(-3), equivalent to 2.5 sigma significance. At 90% C.L., the data are consistent with 0.03(0.04) < sin(2)2 theta(13) < 0.28(0.34) for delta(CP) = 0 and a normal (inverted) hierarchy

Impact of high dietary plant protein with or without marine ingredients in gut mucosa proteome of gilthead seabream (Sparus aurata, L.)

[EN] The digestive tract, particularly the intestine, represents one of the main sites of interactions with the environment, playing the gut mucosa a crucial role in the digestion and absorption of nutrients, and in the immune defence. Previous researches have proven that the fishmeal replacement by plant sources could have an impact on the intestinal status at both digestive and immune level, compromising relevant productive parameters, such as feed efficiency, growth or survival. In order to evaluate the long-term impact of total fishmeal replacement on intestinal mucosa, the gut mucosa proteome was analysed in fish fed with a fishmeal-based diet, against plant protein-based diets with or without alternative marine sources inclusion. Total fishmeal replacement without marine ingredients inclusion, reported a negative impact in growth and biometric parameters, further an altered gut mucosa proteome. However, the inclusion of a low percentage of marine ingredients in plant protein-based diets was able to maintain the growth, biometrics parameters and gut mucosa proteome with similar values to FM group. A total fishmeal replacement induced a big set of underrepresented proteins in relation to several biological processes such as intracellular transport, assembly of cellular macrocomplex, protein localization and protein catabolism, as well as several molecular functions, mainly related with binding to different molecules and the maintenance of the cytoskeleton structure. The set of downregulated proteins also included molecules which have a crucial role in the maintenance of the normal function of the enterocytes, and therefore, of the epithelium, including permeability, immune and inflammatory response regulation and nutritional absorption. Possibly, the amino acid imbalance presented in VM diet, in a long-term feeding, may be the main reason of these alterations, which can be prevented by the inclusion of 15% of alternative marine sources. Significance: Long-term feeding with plant protein based diets may be considered as a stress factor and lead to a negative impact on digestive and immune system mechanisms at the gut, that can become apparent in a reduced fish performance. The need for fishmeal replacement by alternative ingredients such as plant sources to ensure the sustainability of the aquaculture sector has led the research assessing the intestinal status of fish to be of increasing importance. This scientific work provides further knowledge about the proteins and biologic processes altered in the gut in response to plant protein based diets, suggesting the loss of part of gut mucosa functionality. Nevertheless, the inclusion of alternative marine ingredients was able to reverse these negative effects, showing as a feasible option to develop sustainable aquafeeds.The first author was supported by a contract-grant (Contrato Pre doctoral para la Formacion de Profesorado Universitario) from Subprogramas de Formacion y Movilidad within the Programa Estatal de Promocion del Talento y su Empleabilidad of the Ministerio de Educacion, Cultura y Deporte of Spain.Estruch, G.; Martínez-Llorens, S.; Tomas-Vidal, A.; Monge-Ortiz, R.; Jover Cerda, M.; Brown, PB.; Peñaranda, D. (2020). Impact of high dietary plant protein with or without marine ingredients in gut mucosa proteome of gilthead seabream (Sparus aurata, L.). Journal of Proteomics. 216:1-13. https://doi.org/10.1016/j.jprot.2020.103672S113216Martínez-Llorens, S., Moñino, A. V., Tomás Vidal, A., Salvador, V. J. M., Pla Torres, M., & Jover Cerdá, M. (2007). Soybean meal as a protein source in gilthead sea bream (Sparus aurata L.) diets: effects on growth and nutrient utilization. Aquaculture Research, 38(1), 82-90. doi:10.1111/j.1365-2109.2006.01637.xMoutinho, S., Martínez-Llorens, S., Tomás-Vidal, A., Jover-Cerdá, M., Oliva-Teles, A., & Peres, H. (2017). Meat and bone meal as partial replacement for fish meal in diets for gilthead seabream ( Sparus aurata ) juveniles: Growth, feed efficiency, amino acid utilization, and economic efficiency. Aquaculture, 468, 271-277. doi:10.1016/j.aquaculture.2016.10.024Piccolo, G., Iaconisi, V., Marono, S., Gasco, L., Loponte, R., Nizza, S., … Parisi, G. (2017). Effect of Tenebrio molitor larvae meal on growth performance, in vivo nutrients digestibility, somatic and marketable indexes of gilthead sea bream (Sparus aurata). Animal Feed Science and Technology, 226, 12-20. doi:10.1016/j.anifeedsci.2017.02.007Nengas, I., Alexis, M. N., & Davies, S. J. (1999). High inclusion levels of poultry meals and related byproducts in diets for gilthead seabream Sparus aurata L. Aquaculture, 179(1-4), 13-23. doi:10.1016/s0044-8486(99)00148-9Monge-Ortiz, R., Martínez-Llorens, S., Márquez, L., Moyano, F. J., Jover-Cerdá, M., & Tomás-Vidal, A. (2016). Potential use of high levels of vegetal proteins in diets for market-sized gilthead sea bream (Sparus aurata). Archives of Animal Nutrition, 70(2), 155-172. doi:10.1080/1745039x.2016.1141743Sitjà-Bobadilla, A., Peña-Llopis, S., Gómez-Requeni, P., Médale, F., Kaushik, S., & Pérez-Sánchez, J. (2005). Effect of fish meal replacement by plant protein sources on non-specific defence mechanisms and oxidative stress in gilthead sea bream (Sparus aurata). Aquaculture, 249(1-4), 387-400. doi:10.1016/j.aquaculture.2005.03.031Santigosa, E., Sánchez, J., Médale, F., Kaushik, S., Pérez-Sánchez, J., & Gallardo, M. A. (2008). Modifications of digestive enzymes in trout (Oncorhynchus mykiss) and sea bream (Sparus aurata) in response to dietary fish meal replacement by plant protein sources. Aquaculture, 282(1-4), 68-74. doi:10.1016/j.aquaculture.2008.06.007Kiron, V. (2012). Fish immune system and its nutritional modulation for preventive health care. Animal Feed Science and Technology, 173(1-2), 111-133. doi:10.1016/j.anifeedsci.2011.12.015Minghetti, M., Drieschner, C., Bramaz, N., Schug, H., & Schirmer, K. (2017). A fish intestinal epithelial barrier model established from the rainbow trout (Oncorhynchus mykiss) cell line, RTgutGC. Cell Biology and Toxicology, 33(6), 539-555. doi:10.1007/s10565-017-9385-xGómez, G. D., & Balcázar, J. L. (2008). A review on the interactions between gut microbiota and innate immunity of fish: Table 1. FEMS Immunology & Medical Microbiology, 52(2), 145-154. doi:10.1111/j.1574-695x.2007.00343.xYu, Y., Sitaraman, S., & Gewirtz, A. T. (2004). Intestinal Epithelial Cell Regulation of Mucosal Inflammation. Immunologic Research, 29(1-3), 055-068. doi:10.1385/ir:29:1-3:055Ivanov, A. I., Parkos, C. A., & Nusrat, A. (2010). Cytoskeletal Regulation of Epithelial Barrier Function During Inflammation. The American Journal of Pathology, 177(2), 512-524. doi:10.2353/ajpath.2010.100168Lokman, P., & Symonds, J. (2014). Molecular and biochemical tricks of the research trade: -omics approaches in finfish aquaculture. New Zealand Journal of Marine and Freshwater Research, 48(3), 492-505. doi:10.1080/00288330.2014.928333Forné, I., Abián, J., & Cerdà, J. (2009). Fish proteome analysis: Model organisms and non-sequenced species. PROTEOMICS, 10(4), 858-872. doi:10.1002/pmic.200900609Rodrigues, P. M., Silva, T. S., Dias, J., & Jessen, F. (2012). PROTEOMICS in aquaculture: Applications and trends. Journal of Proteomics, 75(14), 4325-4345. doi:10.1016/j.jprot.2012.03.042Pandey, A., & Mann, M. (2000). Proteomics to study genes and genomes. Nature, 405(6788), 837-846. doi:10.1038/35015709Karpievitch, Y. V., Polpitiya, A. D., Anderson, G. A., Smith, R. D., & Dabney, A. R. (2010). Liquid chromatography mass spectrometry-based proteomics: Biological and technological aspects. The Annals of Applied Statistics, 4(4). doi:10.1214/10-aoas341Ahmed, F., Kumar, G., Soliman, F. M., Adly, M. A., Soliman, H. A. M., El-Matbouli, M., & Saleh, M. (2019). Proteomics for understanding pathogenesis, immune modulation and host pathogen interactions in aquaculture. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics, 32, 100625. doi:10.1016/j.cbd.2019.100625Sissener, N. H., Martin, S. A. M., Cash, P., Hevrøy, E. M., Sanden, M., & Hemre, G.-I. (2009). Proteomic Profiling of Liver from Atlantic Salmon (Salmo salar) Fed Genetically Modified Soy Compared to the Near-Isogenic non-GM Line. Marine Biotechnology, 12(3), 273-281. doi:10.1007/s10126-009-9214-1Morais, S., Silva, T., Cordeiro, O., Rodrigues, P., Guy, D. R., Bron, J. E., … Tocher, D. R. (2012). Effects of genotype and dietary fish oil replacement with vegetable oil on the intestinal transcriptome and proteome of Atlantic salmon (Salmo salar). BMC Genomics, 13(1), 448. doi:10.1186/1471-2164-13-448Martin, S. A. M., Cash, P., Blaney, S., & Houlihan, D. F. (2001). Fish Physiology and Biochemistry, 24(3), 259-270. doi:10.1023/a:1014015530045Martin, S. A. M., Vilhelmsson, O., Médale, F., Watt, P., Kaushik, S., & Houlihan, D. F. (2003). Proteomic sensitivity to dietary manipulations in rainbow trout. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 1651(1-2), 17-29. doi:10.1016/s1570-9639(03)00231-0Vilhelmsson, O. T., Martin, S. A. M., Médale, F., Kaushik, S. J., & Houlihan, D. F. (2004). Dietary plant-protein substitution affects hepatic metabolism in rainbow trout (Oncorhynchus mykiss). British Journal of Nutrition, 92(1), 71-80. doi:10.1079/bjn20041176Kumar, G., Hummel, K., Razzazi-Fazeli, E., & El-Matbouli, M. (2019). Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection. Veterinary Research, 50(1). doi:10.1186/s13567-019-0673-8Rajan, B., Lokesh, J., Kiron, V., & Brinchmann, M. F. (2013). Differentially expressed proteins in the skin mucus of Atlantic cod (Gadus morhua) upon natural infection with Vibrio anguillarum. BMC Veterinary Research, 9(1). doi:10.1186/1746-6148-9-103Saleh, M., Kumar, G., Abdel-Baki, A.-A., Dkhil, M. A., El-Matbouli, M., & Al-Quraishy, S. (2018). Quantitative shotgun proteomics distinguishes wound-healing biomarker signatures in common carp skin mucus in response to Ichthyophthirius multifiliis. Veterinary Research, 49(1). doi:10.1186/s13567-018-0535-9Saleh, M., Kumar, G., Abdel-Baki, A.-A. S., Dkhil, M. A., El-Matbouli, M., & Al-Quraishy, S. (2019). Quantitative proteomic profiling of immune responses to Ichthyophthirius multifiliis in common carp skin mucus. Fish & Shellfish Immunology, 84, 834-842. doi:10.1016/j.fsi.2018.10.078ENYU, Y.-L., & SHU-CHIEN, A. C. (2011). Proteomics analysis of mitochondrial extract from liver of female zebrafish undergoing starvation and refeeding. Aquaculture Nutrition, 17(2), e413-e423. doi:10.1111/j.1365-2095.2010.00776.xBoonanuntanasarn, S., Nakharuthai, C., Schrama, D., Duangkaew, R., & Rodrigues, P. M. (2019). Effects of dietary lipid sources on hepatic nutritive contents, fatty acid composition and proteome of Nile tilapia (Oreochromis niloticus). Journal of Proteomics, 192, 208-222. doi:10.1016/j.jprot.2018.09.003Ghisaura, S., Anedda, R., Pagnozzi, D., Biosa, G., Spada, S., Bonaglini, E., … Addis, M. F. (2014). Impact of three commercial feed formulations on farmed gilthead sea bream (Sparus aurata, L.) metabolism as inferred from liver and blood serum proteomics. Proteome Science, 12(1). doi:10.1186/s12953-014-0044-3Sabbagh, M., Schiavone, R., Brizzi, G., Sicuro, B., Zilli, L., & Vilella, S. (2019). Poultry by-product meal as an alternative to fish meal in the juvenile gilthead seabream (Sparus aurata) diet. Aquaculture, 511, 734220. doi:10.1016/j.aquaculture.2019.734220Piazzon, M. C., Calduch-Giner, J. A., Fouz, B., Estensoro, I., Simó-Mirabet, P., Puyalto, M., … Pérez-Sánchez, J. (2017). Under control: how a dietary additive can restore the gut microbiome and proteomic profile, and improve disease resilience in a marine teleostean fish fed vegetable diets. Microbiome, 5(1). doi:10.1186/s40168-017-0390-3Wulff, T., Petersen, J., Nørrelykke, M. R., Jessen, F., & Nielsen, H. H. (2012). Proteome Analysis of Pyloric Ceca: A Methodology for Fish Feed Development? Journal of Agricultural and Food Chemistry, 60(34), 8457-8464. doi:10.1021/jf3016943Pérez-Sánchez, J., Estensoro, I., Redondo, M. J., Calduch-Giner, J. A., Kaushik, S., & Sitjà-Bobadilla, A. (2013). Mucins as Diagnostic and Prognostic Biomarkers in a Fish-Parasite Model: Transcriptional and Functional Analysis. PLoS ONE, 8(6), e65457. doi:10.1371/journal.pone.0065457Mirghaed, A. T., Yarahmadi, P., Soltani, M., Paknejad, H., & Hoseini, S. M. (2019). Dietary sodium butyrate (Butirex® C4) supplementation modulates intestinal transcriptomic responses and augments disease resistance of rainbow trout (Oncorhynchus mykiss). Fish & Shellfish Immunology, 92, 621-628. doi:10.1016/j.fsi.2019.06.046Estruch, G., Tomás-Vidal, A., El Nokrashy, A. M., Monge-Ortiz, R., Godoy-Olmos, S., Jover Cerdá, M., & Martínez-Llorens, S. (2018). Inclusion of alternative marine by-products in aquafeeds with different levels of plant-based sources for on-growing gilthead sea bream (Sparus aurata, L.): effects on digestibility, amino acid retention, ammonia excretion and enzyme activity. Archives of Animal Nutrition, 72(4), 321-339. doi:10.1080/1745039x.2018.1472408Peres, H., & Oliva-Teles, A. (2009). The optimum dietary essential amino acid profile for gilthead seabream (Sparus aurata) juveniles. Aquaculture, 296(1-2), 81-86. doi:10.1016/j.aquaculture.2009.04.046Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014). Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ. Molecular & Cellular Proteomics, 13(9), 2513-2526. doi:10.1074/mcp.m113.031591Metsalu, T., & Vilo, J. (2015). ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Research, 43(W1), W566-W570. doi:10.1093/nar/gkv468Conesa, A., Gotz, S., Garcia-Gomez, J. M., Terol, J., Talon, M., & Robles, M. (2005). Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics, 21(18), 3674-3676. doi:10.1093/bioinformatics/bti610Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2008). Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols, 4(1), 44-57. doi:10.1038/nprot.2008.211Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2008). Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Research, 37(1), 1-13. doi:10.1093/nar/gkn923Kader, M. A., Bulbul, M., Koshio, S., Ishikawa, M., Yokoyama, S., Nguyen, B. T., & Komilus, C. F. (2012). Effect of complete replacement of fishmeal by dehulled soybean meal with crude attractants supplementation in diets for red sea bream, Pagrus major. Aquaculture, 350-353, 109-116. doi:10.1016/j.aquaculture.2012.04.009HERBINGER, C. M., & FRIARS, G. W. (1991). Correlation between condition factor and total lipid content in Atlantic salmon, Salmo salar L., parr. Aquaculture Research, 22(4), 527-529. doi:10.1111/j.1365-2109.1991.tb00766.xJohansson, L., Kiessling, A., Kiessling, K.-H., & Berglund, L. (2000). Effects of altered ration levels on sensory characteristics, lipid content and fatty acid composition of rainbow trout (Oncorhynchus mykiss). Food Quality and Preference, 11(3), 247-254. doi:10.1016/s0950-3293(99)00073-7De Francesco, M., Parisi, G., Médale, F., Lupi, P., Kaushik, S. J., & Poli, B. M. (2004). Effect of long-term feeding with a plant protein mixture based diet on growth and body/fillet quality traits of large rainbow trout (Oncorhynchus mykiss). Aquaculture, 236(1-4), 413-429. doi:10.1016/j.aquaculture.2004.01.006Berg, O. K., Thronæs, E., & Bremset, G. (1998). Energetics and survival of virgin and repeat spawning brown trout (Salmo trutta). Canadian Journal of Fisheries and Aquatic Sciences, 55(1), 47-53. doi:10.1139/f97-208Saera-Vila, A., Calduch-Giner, J. A., Gómez-Requeni, P., Médale, F., Kaushik, S., & Pérez-Sánchez, J. (2005). Molecular characterization of gilthead sea bream (Sparus aurata) lipoprotein lipase. Transcriptional regulation by season and nutritional condition in skeletal muscle and fat storage tissues. Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, 142(2), 224-232. doi:10.1016/j.cbpb.2005.07.009Panserat, S., & Kaushik, S. J. (2010). Regulation of gene expression by nutritional factors in fish. Aquaculture Research, 41(5), 751-762. doi:10.1111/j.1365-2109.2009.02173.xKhurana, S., & George, S. P. (2008). Regulation of cell structure and function by actin-binding proteins: Villin’s perspective. FEBS Letters, 582(14), 2128-2139. doi:10.1016/j.febslet.2008.02.040Bedford, L., Paine, S., Sheppard, P. W., Mayer, R. J., & Roelofs, J. (2010). Assembly, structure, and function of the 26S proteasome. Trends in Cell Biology, 20(7), 391-401. doi:10.1016/j.tcb.2010.03.007Wu, Y.-X., Yang, J.-H., & Saitsu, H. (2016). Bortezomib-resistance is associated with increased levels of proteasome subunits and apoptosis-avoidance. Oncotarget, 7(47), 77622-77634. doi:10.18632/oncotarget.12731Fararjeh, Chen, Ho, Cheng, Liu, Chang, … Tu. (2019). Proteasome 26S Subunit, non-ATPase 3 (PSMD3) Regulates Breast Cancer by Stabilizing HER2 from Degradation. Cancers, 11(4), 527. doi:10.3390/cancers11040527Pastorelli, L., De Salvo, C., Mercado, J. R., Vecchi, M., & Pizarro, T. T. (2013). Central Role of the Gut Epithelial Barrier in the Pathogenesis of Chronic Intestinal Inflammation: Lessons Learned from Animal Models and Human Genetics. Frontiers in Immunology, 4. doi:10.3389/fimmu.2013.00280Babbin, B. A., Laukoetter, M. G., Nava, P., Koch, S., Lee, W. Y., Capaldo, C. T., … Nusrat, A. (2008). Annexin A1 Regulates Intestinal Mucosal Injury, Inflammation, and Repair. The Journal of Immunology, 181(7), 5035-5044. doi:10.4049/jimmunol.181.7.5035Leoni, G., Neumann, P.-A., Sumagin, R., Denning, T. L., & Nusrat, A. (2015). Wound repair: role of immune–epithelial interactions. Mucosal Immunology, 8(5), 959-968. doi:10.1038/mi.2015.63Bakke-McKellep, A. M., Penn, M. H., Salas, P. M., Refstie, S., Sperstad, S., Landsverk, T., … Krogdahl, Å. (2007). Effects of dietary soyabean meal, inulin and oxytetracycline on intestinal microbiota and epithelial cell stress, apoptosis and proliferation in the teleost Atlantic salmon (Salmo salar L.). British Journal of Nutrition, 97(4), 699-713. doi:10.1017/s0007114507381397Wolf, H. K., & Dittrich, K. L. (1992). Detection of proliferating cell nuclear antigen in diagnostic histopathology. Journal of Histochemistry & Cytochemistry, 40(9), 1269-1273. doi:10.1177/40.9.1354677Ducker, G. S., & Rabinowitz, J. D. (2017). One-Carbon Metabolism in Health and Disease. Cell Metabolism, 25(1), 27-42. doi:10.1016/j.cmet.2016.08.009Cunningham, K. E., & Turner, J. R. (2012). Myosin light chain kinase: pulling the strings of epithelial tight junction function. Annals of the New York Academy of Sciences, 1258(1), 34-42. doi:10.1111/j.1749-6632.2012.06526.xFanning, A. S., & Anderson, J. M. (1999). PDZ domains: fundamental building blocks in the organization of protein complexes at the plasma membrane. Journal of Clinical Investigation, 103(6), 767-772. doi:10.1172/jci6509Werner, T., & Haller, D. (2007). Intestinal epithelial cell signalling and chronic inflammation: From the proteome to specific molecular mechanisms. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, 622(1-2), 42-57. doi:10.1016/j.mrfmmm.2007.05.010Lee, S. H. (2015). Intestinal Permeability Regulation by Tight Junction: Implication on Inflammatory Bowel Diseases. Intestinal Research, 13(1), 11. doi:10.5217/ir.2015.13.1.11Turner, J. R. (2009). Intestinal mucosal barrier function in health and disease. Nature Reviews Immunology, 9(11), 799-809. doi:10.1038/nri2653Ulluwishewa, D., Anderson, R. C., McNabb, W. C., Moughan, P. J., Wells, J. M., & Roy, N. C. (2011). Regulation of Tight Junction Permeability by Intestinal Bacteria and Dietary Components. The Journal of Nutrition, 141(5), 769-776. doi:10.3945/jn.110.135657Knudsen, D., Jutfelt, F., Sundh, H., Sundell, K., Koppe, W., & Frøkiær, H. (2008). Dietary soya saponins increase gut permeability and play a key role in the onset of soyabean-induced enteritis in Atlantic salmon (Salmo salar L.). British Journal of Nutrition, 100(1), 120-129. doi:10.1017/s0007114507886338Hu, H., Kortner, T. M., Gajardo, K., Chikwati, E., Tinsley, J., & Krogdahl, Å. (2016). Intestinal Fluid Permeability in Atlantic Salmon (Salmo salar L.) Is Affected by Dietary Protein Source. PLOS ONE, 11(12), e0167515. doi:10.1371/journal.pone.0167515Strober, W., Fuss, I. J., & Blumberg, R. S. (2002). The Immunology of Mucosal Models of Inflammation. Annual Review of Immunology, 20(1), 495-549. doi:10.1146/annurev.immunol.20.100301.064816Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S., & Medzhitov, R. (2004). Recognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis. Cell, 118(2), 229-241. doi:10.1016/j.cell.2004.07.002Neal, M. D., Leaphart, C., Levy, R., Prince, J., Billiar, T. R., Watkins, S., … Hackam, D. J. (2006). Enterocyte TLR4 Mediates Phagocytosis and Translocation of Bacteria Across the Intestinal Barrier. The Journal of Immunology, 176(5), 3070-3079. doi:10.4049/jimmunol.176.5.3070Fink, M. P., & Delude, R. L. (2005). Epithelial Barrier Dysfunction: A Unifying Theme to Explain the Pathogenesis of Multiple Organ Dysfunction at the Cellular Level. Critical Care Clinics, 21(2), 177-196. doi:10.1016/j.ccc.2005.01.005Estruch, G., Collado, M. C., Peñaranda, D. S., Tomás Vidal, A., Jover Cerdá, M., Pérez Martínez, G., & Martinez-Llorens, S. (2015). Impact of Fishmeal Replacement in Diets for Gilthead Sea Bream (Sparus aurata) on the Gastrointestinal Microbiota Determined by Pyrosequ