Preliminary investigation on the impact of salty and sugary former foods on pig liver and plasma profiles using OMICS approaches.
Former food products
Liver
Peptidomics
Pigs
Plasma
Proteomics
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
21 08 2024
21 08 2024
Historique:
received:
21
02
2024
accepted:
14
08
2024
medline:
22
8
2024
pubmed:
22
8
2024
entrez:
21
8
2024
Statut:
epublish
Résumé
Replacing cereals with food leftovers could reduce feed-food competition and keep nutrients and energy in the food chain. Former food products (FFPs) are industrial food leftovers no more intended for human but still suitable as alternative and sustainable feedstuffs for monogastric. In this study, omics approaches were applied to evaluate the impact of dietary FFPs on pig liver proteome and plasma peptidome. Thirty-six Swiss Large White male castrated pigs were randomly assigned to three dietary treatments [control (CTR), 30% CTR replaced with salty FFP (SA), 30% CTR replaced with sugary FFP (SU)] from the start of the growing phase (22.4 ± 1.7 kg) until slaughtering (110 ± 3 kg). The low number of differentially regulated proteins in each comparison matrix (SA/SU vs. CTR) and the lack of metabolic interaction indicated a marginal impact on hepatic lipid metabolism. The plasma peptidomics investigation showed low variability between the peptidome of the three dietary groups and identified three possible bioactive peptides in the SA group associated with anti-hypertension and vascular homeostasis regulation. To conclude, the limited modulation of liver proteome and plasma peptidome by the SA and SU diets strenghtened the idea of reusing FFPs as feed ingredients to make pig production more sustainable.
Identifiants
pubmed: 39169123
doi: 10.1038/s41598-024-70310-z
pii: 10.1038/s41598-024-70310-z
doi:
Substances chimiques
Proteome
0
Peptides
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
19386Subventions
Organisme : Regione Lombardia
ID : D44I20002000002
Informations de copyright
© 2024. The Author(s).
Références
Pinotti, L. et al. Recycling food leftovers in feed as opportunity to increase the sustainability of livestock production. J. Clean Prod. 294, 126290 (2021).
doi: 10.1016/j.jclepro.2021.126290
Pinotti, L., Mazzoleni, S., Moradei, A., Lin, P. & Luciano, A. Effects of alternative feed ingredients on red meat quality: A review of algae, insects, agro-industrial by-products and former food products. It. J. Anim. Sci. 22, 695–710 (2023).
doi: 10.1080/1828051X.2023.2238784
Govoni, C., Chiarelli, D. D., Luciano, A., Pinotti, L. & Rulli, M. C. Global assessment of land and water resource demand for pork supply. Environ. Res. Lett. 17, 074003–074015 (2022).
doi: 10.1088/1748-9326/ac74d7
Andretta, I. et al. Environmental impacts of pig and poultry production: Insights from a systematic review. Front. Vet. Sci. 8, 750733 (2021).
pubmed: 34778435
pmcid: 8578682
doi: 10.3389/fvets.2021.750733
European Food Safety Authority (EFSA). Scientific opinion of the panel on contaminants in the food chain on a request from the European Commission on theobromine as undesirable substances in animal feed. EFSA J. 725, 1–66 (2008).
Pinotti, L. et al. Review: pig-based bioconversion: The use of former food products to keep nutrient in the food chain. Animal 17, 100918 (2023).
pubmed: 37544840
doi: 10.1016/j.animal.2023.100918
Tretola, M., Luciano, A., Ottoboni, M., Baldi, A. & Pinotti, L. Influence of traditional vs alternative dietary carbohydrates sources on the large intestinal microbiota in post-weaning piglets. Animals 9, 516 (2019).
pubmed: 31374923
pmcid: 6719221
doi: 10.3390/ani9080516
Luciano, A., Espinosa, C. D., Pinotti, L. & Stein, H. H. Standardized total tract digestibility of phosphorus in bakery meal fed to pigs and effects of bakery meal on growth performance of weanling pigs. Anim. Feed Sci. Technol. 284, 115148–115157 (2022).
doi: 10.1016/j.anifeedsci.2021.115148
Luciano, A. et al. Sweet vs. salty former food products in post-weaning piglets: Effects on growth, apparent total tract digestibility and blood metabolites. Animals 11, 3315 (2021).
pubmed: 34828047
pmcid: 8614654
doi: 10.3390/ani11113315
Pinotti, L. et al. PSXI-21 inclusion of former food products in post-weaning diet of piglets: Impact on the fatty acid profile of subcutaneous adipose tissue and on serum metabolites. J. Anim. Sci. 101, 563–564 (2023).
doi: 10.1093/jas/skad281.660
Su, D. et al. Metabolomic markers of ultra-processed food and incident CKD. Clin. J. Am. Soc. Nephrol. 18, 327–336 (2023).
pubmed: 36735499
pmcid: 10103271
doi: 10.2215/CJN.0000000000000062
Mazzoleni, S. et al. Sugary and salty former food products in pig diets affect energy and nutrient digestibility, feeding behavior but not the growth performance and carcass composition. Animal 17, 101019 (2023).
pubmed: 37967497
doi: 10.1016/j.animal.2023.101019
Tretola, M. et al. Sustainable pig diets: Partial grain replacement with former food products and its impact on meat quality. J. Anim. Sci. 102, skae070 (2024).
pubmed: 38490265
doi: 10.1093/jas/skae070
Roche, M., Rondeau, P., Singh, N. R., Tarnus, E. & Bourdon, E. The antioxidant properties of serum albumin. FEBS Lett. 582, 1783–1787 (2008).
pubmed: 18474236
doi: 10.1016/j.febslet.2008.04.057
Eugenio, F. A., van Milgen, J., Duperray, J., Sergheraert, R. & Le Floc’h, N. Feeding pigs amino acids as protein-bound or in free form influences postprandial concentrations of amino acids, metabolites, and insulin. Animal 17, 100684 (2023).
pubmed: 36542911
doi: 10.1016/j.animal.2022.100684
Szostak, A. et al. Effect of a diet enriched with omega-6 and omega-3 fatty acids on the pig liver transcriptome. Genes Nutr. 11, 9 (2016).
pubmed: 27482299
pmcid: 4959555
doi: 10.1186/s12263-016-0517-4
Hodson, L., Rosqvist, F. & Parry, S. The influence of dietary fatty acids on liver fat content and metabolism. Proc Nutr. Soc. 79, 30–41 (2020).
pubmed: 30942685
doi: 10.1017/S0029665119000569
Bovo, S. et al. Metabolomics evidences plasma and serum biomarkers differentiating two heavy pig breeds. Animal. 10, 1741–1748 (2016).
pubmed: 27055632
doi: 10.1017/S1751731116000483
Dallas, D. C. et al. Current peptidomics: Applications, purification, identification, quantification, and functional analysis. Proteomics. 15, 1026–1038 (2015).
pubmed: 25429922
pmcid: 4371869
doi: 10.1002/pmic.201400310
Dupont, D. Peptidomic as a tool for assessing protein digestion. Curr. Opin. Food Sci. 16, 53–58 (2017).
doi: 10.1016/j.cofs.2017.08.001
Cunningham, R., Ma, D. & Li, L. Mass spectrometry-based proteomics and peptidomics for systems biology and biomarker discovery. Front. Biol. 7, 313–335 (2012).
doi: 10.1007/s11515-012-1218-y
Di Meo, A., Pasic, M. D. & Yousef, G. M. Proteomics and peptidomics: Moving toward precision medicine in urological malignancies. Oncotarget 7, 52460–52474 (2016).
pubmed: 27119500
pmcid: 5239567
doi: 10.18632/oncotarget.8931
Jun, H., Daiwen, C. & Bing, Y. Metabolic and transcriptomic responses of weaned pigs induced by different dietary amylose and amylopectin ratio. PLoS ONE 5, e15110 (2010).
pubmed: 21152049
pmcid: 2994909
doi: 10.1371/journal.pone.0015110
Yin, F. et al. Digestion rate of dietary starch affects the systemic circulation of lipid profiles and lipid metabolism-related gene expression in weaned pigs. Br. J. Nutr. 106, 369–377 (2021).
doi: 10.1017/S0007114511000213
Sejersen, H., Sørensen, M. T., Larsen, T., Bendixen, E. & Ingvartsen, K. L. Liver protein expression in young pigs in response to a high-fat diet and diet restriction. J. Anim. Sci. 91, 147–158 (2013).
pubmed: 23048158
doi: 10.2527/jas.2012-5303
Duran-Montgé, P., Theil, P. K., Lauridsen, C. & Esteve-Garcia, E. Dietary fat source affects metabolism of fatty acids in pigs as evaluated by altered expression of lipogenic genes in liver and adipose tissues. Animal 3, 535–542 (2009).
pubmed: 22444377
doi: 10.1017/S1751731108003686
Sinha, R. A. et al. Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice. Hepatology 59, 1366–1380 (2014).
pubmed: 23929677
doi: 10.1002/hep.26667
Wei, D. et al. Theobromine ameliorates nonalcoholic fatty liver disease by regulating hepatic lipid metabolism via mTOR signaling pathway in vivo and in vitro. Can. J. Physiol. Pharmacol. 99, 775–785 (2021).
pubmed: 33290156
doi: 10.1139/cjpp-2020-0259
Lafarga, T. & Hayes, M. Bioactive peptides from meat muscle and by-products: Generation, functionality and application as functional ingredients. Meat Sci. 98, 227–239 (2014).
pubmed: 24971811
doi: 10.1016/j.meatsci.2014.05.036
Nongonierma, A. B. & Fitzgerald, R. J. The scientific evidence for the role of milk protein-derived bioactive peptides in humans: A review. J. Funct. Foods. 17, 640–656 (2015).
doi: 10.1016/j.jff.2015.06.021
Cerrato, A. et al. Comprehensive identification of native medium-sized and short bioactive peptides in sea bass muscle. Food Chem. 343, 128443 (2021).
pubmed: 33129615
doi: 10.1016/j.foodchem.2020.128443
Caira, S. et al. Recent developments in peptidomics for the quali-quantitative analysis of food-derived peptides in human body fluids and tissues. Trends Food Sci. Technol. 126, 41–60 (2022).
doi: 10.1016/j.tifs.2022.06.014
Chakrabarti, S., Guha, S. & Majumder, K. Food-derived bioactive peptides in human health: Challenges and opportunities. Nutrients 10, 1738 (2018).
pubmed: 30424533
pmcid: 6265732
doi: 10.3390/nu10111738
Mora, L., Aristoy, M.-C. & Toldrá, F. Bioactive peptides. In Encyclopedia of Food Chemistry 381–389 (Elsevier, 2019). https://doi.org/10.1016/B978-0-08-100596-5.22397-4 .
Dave, L. A., Hayes, M., Montoya, C. A., Rutherfurd, S. M. & Moughan, P. J. Human gut endogenous proteins as a potential source of angiotensin-I-converting enzyme (ACE-I)-, renin inhibitory and antioxidant peptides. Peptides 76, 30–44 (2016).
pubmed: 26617077
doi: 10.1016/j.peptides.2015.11.003
Souffrant, W. B. et al. Exogenous and endogenous contributions to nitrogen fluxes in the digestive tract of pigs fed a casein diet. III. Recycling of endogenous nitrogen. Reprod. Nutr. Dev. 33, 373–382 (1993).
pubmed: 8240681
doi: 10.1051/rnd:19930406
Dave, L. A., Montoya, C. A., Rutherfurd, S. M. & Moughan, P. J. Gastrointestinal endogenous proteins as a source of bioactive peptides - An in silico study. PLoS ONE 9, e98922 (2014).
pubmed: 24901416
pmcid: 4047039
doi: 10.1371/journal.pone.0098922
Meisel, H. Biochemical properties of bioactive peptides derived from milk proteins: Potential nutraceuticals for food and pharmaceutical applications. Livest. Prod. Sci. 50, 125–138 (1997).
doi: 10.1016/S0301-6226(97)00083-3
Rutherfurd-Markwick, K. J. & Moughan, P. J. Bioactive peptides derived from food. J. AOAC Int. 88, 955–966 (2005).
pubmed: 16001873
doi: 10.1093/jaoac/88.3.955
Shahidi, F. & Zhong, Y. Bioactive peptides. J. AOAC Int. 91, 914–931 (2008).
pubmed: 18727554
doi: 10.1093/jaoac/91.4.914
Liang, G. et al. Nicotinamide N-methyltransferase and liver diseases. Genes Dis. 10, 1883–1893 (2023).
pubmed: 37492717
doi: 10.1016/j.gendis.2022.03.019
Asif, S. et al. Hmgcs2-mediated ketogenesis modulates high-fat diet-induced hepatosteatosis. Mol. Metab. 61, 101494 (2022).
pubmed: 35421611
pmcid: 9039870
doi: 10.1016/j.molmet.2022.101494
Luciano, A. et al. O121 Former food products in post-weaning piglets: Effects on subcutaneous adipose tissue and on selected metabolites. Anim. Sci. Proc. 13, 392–394 (2022).
doi: 10.1016/j.anscip.2022.07.131
Wood, J. D. et al. Fat deposition, fatty acid composition and meat quality: A review. Meat Sci. 78, 343–358 (2008).
pubmed: 22062452
doi: 10.1016/j.meatsci.2007.07.019
Song, Q. et al. Nicotinamide N-methyltransferase upregulation contributes to palmitate-elicited peroxisome proliferator-activated receptor transactivation in hepatocytes. Am. J. Physiol. Cell. Physiol. 325, C29–C41 (2023).
pubmed: 37212549
pmcid: 10259858
doi: 10.1152/ajpcell.00010.2023
Ali, A. et al. Ferritin heavy chain (FTH1) exerts significant antigrowth effects in breast cancer cells by inhibiting the expression of c-MYC. FEBS Open Bio 11, 3101–3114 (2021).
pubmed: 34551213
pmcid: 8564339
doi: 10.1002/2211-5463.13303
Nebert, D. W. & Vasiliou, V. Analysis of the glutathione S-transferase (GST) gene family. Hum. Genom. 1, 460 (2004).
doi: 10.1186/1479-7364-1-6-460
Wu, X. et al. Involvement of kynurenine pathway between inflammation and glutamate in the underlying etiopathology of CUMS-induced depression mouse model. BMC Neurosci. 23, 62 (2022).
pubmed: 36357867
pmcid: 9650798
doi: 10.1186/s12868-022-00746-4
Lindquist, C. et al. Increased fatty acid oxidation and mitochondrial proliferation in liver are associated with increased plasma kynurenine metabolites and nicotinamide levels in normolipidemic and carnitine-depleted rats. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 186, 158543 (2020).
doi: 10.1016/j.bbalip.2019.158543
Pretorius, D., Richter, R. P., Anand, T., Cardenas, J. C. & Richter, J. R. Alterations in heparan sulfate proteoglycan synthesis and sulfation and the impact on vascular endothelial function. Matrix Biol. Plus. 16, 100121 (2022).
pubmed: 36160687
pmcid: 9494232
doi: 10.1016/j.mbplus.2022.100121
Jansen, P. A. et al. Expression of the vanin gene family in normal and inflamed human skin: Induction by proinflammatory cytokines. J. Invest. Dermatol. 129, 2167–2174 (2009).
pubmed: 19322213
doi: 10.1038/jid.2009.67
Mariani, F. & Roncucci, L. Role of the vanins-myeloperoxidase axis in colorectal carcinogenesis. Int. J. Mol. Sci. 18, 918 (2017).
pubmed: 28448444
pmcid: 5454831
doi: 10.3390/ijms18050918
Kaskow, B. J., Proffitt, J. M., Blangero, J., Moses, E. K. & Abraham, L. J. Diverse biological activities of the vascular non-inflammatory molecules - the Vanin pantetheinases. Biochem. Biophys. Res. Commun. 417, 653–8 (2012).
pubmed: 22155241
doi: 10.1016/j.bbrc.2011.11.099
Solberg, R. et al. The mammalian cysteine protease legumain in health and disease. Int. J. Mol. Sci. 23, 15983 (2022).
pubmed: 36555634
pmcid: 9788469
doi: 10.3390/ijms232415983
Foltz, M., van der Pijl, P. C. & Duchateau, G. S. Current in vitro testing of bioactive peptides is not valuable. J. Nutr. 140, 117–118 (2010).
pubmed: 19906810
doi: 10.3945/jn.109.116228
Miner-Williams, W. M., Stevens, B. R. & Moughan, P. J. Are intact peptides absorbed from the healthy gut in the adult human?. Nutr. Res. Rev. 27, 308–329 (2014).
pubmed: 25623084
doi: 10.1017/S0954422414000225
Haahr, M. Random.org: True random number service. Website ( http://www.random.org ). 10 (2010).
Ferrario, G. et al. Polyphenols from thinned young apples: HPLC-HRMS profile and evaluation of their anti-oxidant and anti-inflammatory activities by proteomic studies. Antioxidants 11, 1577 (2022).
pubmed: 36009298
pmcid: 9405250
doi: 10.3390/antiox11081577
Aletti, F. et al. Peptidomic analysis of rat plasma: Proteolysis in hemorrhagic shock. Shock 45, 540–554 (2016).
pubmed: 26863123
pmcid: 4833562
doi: 10.1097/SHK.0000000000000532
Giromini, C. et al. In vitro-digested milk proteins: Evaluation of angiotensin-1-converting enzyme inhibitory and antioxidant activities, peptidomic profile, and mucin gene expression in HT29-MTX cells. J. Dairy Sci. 102, 10760–10771 (2019).
pubmed: 31521344
doi: 10.3168/jds.2019-16833
Maffioli, E. et al. High-resolution mass spectrometry-based approaches for the detection and quantification of peptidase activity in plasma. Molecules 25, 4071 (2020).
pubmed: 32899982
pmcid: 7571063
doi: 10.3390/molecules25184071
Coccetti, P. et al. The CK2 phosphorylation of catalytic domain of Cdc34 modulates its activity at the G1 to S transition in Saccharomyces cerevisiae. Cell Cycle 7, 1391–1401 (2008).
pubmed: 18418079
doi: 10.4161/cc.7.10.5825
Toni, M. et al. Environmental temperature variation affects brain protein expression and cognitive abilities in adult zebrafish (Danio rerio): A proteomic and behavioural study. J. Proteom. 204, 103396 (2019).
doi: 10.1016/j.jprot.2019.103396
Singh, S. et al. SATPdb: A database of structurally annotated therapeutic peptides. Nucleic Acids Res. 44, D1119–D1126 (2016).
pubmed: 26527728
doi: 10.1093/nar/gkv1114
Qin, D. et al. DFBP: A comprehensive database of food-derived bioactive peptides for peptidomics research. Bioinformatics 38, 3275–3280 (2020).
doi: 10.1093/bioinformatics/btac323