Extracellular vesicle miRNome during subclinical mastitis in dairy cows.
Mastitis
bovine
dairy cows
extracellular vesicles
microRNA
small RNA-seq
Journal
Veterinary research
ISSN: 1297-9716
Titre abrégé: Vet Res
Pays: England
ID NLM: 9309551
Informations de publication
Date de publication:
19 Sep 2024
19 Sep 2024
Historique:
received:
17
07
2023
accepted:
13
08
2024
medline:
20
9
2024
pubmed:
20
9
2024
entrez:
19
9
2024
Statut:
epublish
Résumé
Bovine mastitis is one of the main inflammatory diseases that can affect the udder during lactation. Somatic cell counts and sometimes microbiological tests are routinely adopted during monitoring diagnostics in dairy herds. However, subclinical mastitis is challenging to identify, reducing the possibility of early treatments. The main aim of this study was to investigate the miRNome profile of extracellular vesicles isolated from milk as potential biomarkers of subclinical mastitis. Milk samples were collected from a total of 60 dairy cows during routine monitoring tests. Small RNA sequencing technology was applied to extracellular vesicles of milk samples collected from cows classified according to the somatic cell count to identify differences in the miRNome between mastitic and healthy cows. A total of 1997 miRNAs were differentially expressed between both groups. Among them, 68 miRNAs whose FDRs were < 0.05 were mostly downregulated, with only one upregulated miRNA (i.e., miR-361). Functional analysis revealed that miR-455-3p, miR-503-3p, miR-1301-3p and miR-361-5p are involved in the regulation of several biological processes related to mastitis, including immune system-related processes. This study suggests the involvement of extracellular vesicle-derived miRNAs in the regulation of mastitis. Moreover, these findings provide evidence that miRNAs from milk extracellular vesicles can be used to identify biomarkers of mastitis. However, further studies must be conducted to validate these miRNAs, especially for subclinical diagnosis.
Identifiants
pubmed: 39300590
doi: 10.1186/s13567-024-01367-x
pii: 10.1186/s13567-024-01367-x
doi:
Substances chimiques
MicroRNAs
0
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
112Subventions
Organisme : Regione Piemonte
ID : FESR 2014-2020 - D24I19000980002
Informations de copyright
© 2024. The Author(s).
Références
El-Sayed A, Kamel M (2021) Bovine mastitis prevention and control in the post-antibiotic era. Trop Anim Health Prod 53:236
pubmed: 33788033
doi: 10.1007/s11250-021-02680-9
Ruegg PL (2017) A 100-Year review: Mastitis detection, management, and prevention. J Dairy Sci 100:10381–10397
pubmed: 29153171
doi: 10.3168/jds.2017-13023
Ashraf A, Imran M (2020) Causes, types, etiological agents, prevalence, diagnosis, treatment, prevention, effects on human health and future aspects of bovine mastitis. Anim Health Res Rev 21:36–49
pubmed: 32051050
doi: 10.1017/S1466252319000094
Ashraf A, Imran M (2018) Diagnosis of bovine mastitis: from laboratory to farm. Trop Anim Health Prod 50:1193–1202
pubmed: 29948774
doi: 10.1007/s11250-018-1629-0
Krishnamoorthy P, Goudar AL, Suresh KP, Roy P (2021) Global and countrywide prevalence of subclinical and clinical mastitis in dairy cattle and buffaloes by systematic review and meta-analysis. Res Vet Sci 136:561–586
pubmed: 33892366
doi: 10.1016/j.rvsc.2021.04.021
Krömker V, Leimbach S (2017) Mastitis treatment-reduction in antibiotic usage in dairy cows. Reprod Domest Anim Zuchthyg 52(Suppl 3):21–29
doi: 10.1111/rda.13032
Moroni P, Pisoni G, Antonini M, Villa R, Boettcher P, Carli S (2006) Short communication: antimicrobial drug susceptibility of Staphylococcus aureus from subclinical bovine mastitis in Italy. J Dairy Sci 89:2973–2976
pubmed: 16840612
doi: 10.3168/jds.S0022-0302(06)72569-3
Zecconi A, Vairani D, Cipolla M, Rizzi N, Zanini L (2019) Assessment of subclinical mastitis diagnostic accuracy by differential cell count in individual cow milk. Ital J Anim Sci 18:460–465
doi: 10.1080/1828051X.2018.1533391
National Mastitis Council (2001) Guidelines on normal and abnormal raw milk based on somatic cell counts and signs of clinical mastitis
Moretti R, Chessa S, Sartore S, Soglia D, Giaccone D, Cannizzo FT, Sacchi P (2022) A practical application of genomic predictions for mastitis resistance in Italian holstein heifers. Animals 12:2370
pubmed: 36139231
pmcid: 9494965
doi: 10.3390/ani12182370
Zecconi A, Meroni G, Sora V, Mattina R, Cipolla M, Zanini L (2021) Total and differential cell counts as a tool to identify intramammary infections in cows after calving. Animals 11:727
pubmed: 33800067
pmcid: 8001259
doi: 10.3390/ani11030727
Adkins PRF, Middleton JR (2018) Methods for diagnosing mastitis. Vet Clin North Am Food Anim Pract 34:479–491
pubmed: 30316505
doi: 10.1016/j.cvfa.2018.07.003
Dufour S, Dohoo IR (2013) Monitoring herd incidence of intramammary infection in lactating cows using repeated longitudinal somatic cell count measurements. J Dairy Sci 96:1568–1580
pubmed: 23332844
doi: 10.3168/jds.2012-5902
Kandeel SA, Megahed AA, Arnaout FK, Constable PD (2018) Evaluation and comparison of 2 on-farm tests for estimating somatic cell count in quarter milk samples from lactating dairy cattle. J Vet Intern Med 32:506–515
pubmed: 29222815
doi: 10.1111/jvim.14888
Yu D, Li Y, Wang M, Gu J, Xu W, Cai H, Fang X, Zhang X (2022) Exosomes as a new frontier of cancer liquid biopsy. Mol Cancer 21:56
pubmed: 35180868
pmcid: 8855550
doi: 10.1186/s12943-022-01509-9
Benmoussa A, Michel S, Gilbert C, Provost P (2020) Isolating multiple extracellular vesicles subsets, including exosomes and membrane vesicles, from bovine milk using sodium citrate and differential ultracentrifugation. Bio-Protocol 10:e3636
pubmed: 33659307
pmcid: 7842771
doi: 10.21769/BioProtoc.3636
Blans K, Hansen MS, Sørensen LV, Hvam ML, Howard KA, Möller A, Wiking L, Larsen LB, Rasmussen JT (2017) Pellet-free isolation of human and bovine milk extracellular vesicles by size-exclusion chromatography. J Extracell Vesicles 6:1294340
pubmed: 28386391
pmcid: 5373680
doi: 10.1080/20013078.2017.1294340
Dang XTT, Kavishka JM, Zhang DX, Pirisinu M, Le MTN (2020) Extracellular vesicles as an efficient and versatile system for drug delivery. Cells 9:2191
pubmed: 33003285
pmcid: 7600121
doi: 10.3390/cells9102191
Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A et al (2018) Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles 7:1535750
pubmed: 30637094
pmcid: 6322352
doi: 10.1080/20013078.2018.1535750
Zempleni J, Aguilar-Lozano A, Sadri M, Sukreet S, Manca S, Wu D, Zhou F, Mutai E (2017) Biological activities of extracellular vesicles and their cargos from bovine and human milk in humans and implications for infants. J Nutr 147:3–10
pubmed: 27852870
doi: 10.3945/jn.116.238949
Raposo G, Stoorvogel W (2013) Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol 200:373–383
pubmed: 23420871
pmcid: 3575529
doi: 10.1083/jcb.201211138
Admyre C, Johansson SM, Qazi KR, Filén JJ, Lahesmaa R, Norman M, Neve EP, Scheynius A, Gabrielsson S (2007) Exosomes with immune modulatory features are present in human breast milk. J Immunol 179:1969–1978
pubmed: 17641064
doi: 10.4049/jimmunol.179.3.1969
Do DN, Dudemaine PL, Mathur M, Suravajhala P, Zhao X, Ibeagha-Awemu EM (2021) miRNA regulatory functions in farm animal diseases, and biomarker potentials for effective therapies. Int J Mol Sci 22:3080
pubmed: 33802936
pmcid: 8002598
doi: 10.3390/ijms22063080
Cai M, Fan W, Li X, Sun H, Dai L, Lei D, Dai Y, Liao Y (2021) The regulation of Staphylococcus aureus-induced inflammatory responses in bovine mammary epithelial cells. Front Vet Sci 8:683886
pubmed: 34136558
pmcid: 8200483
doi: 10.3389/fvets.2021.683886
Chen Y, Jing H, Chen M, Liang W, Yang J, Deng G, Guo M (2021) Transcriptional profiling of exosomes derived from Staphylococcus aureus-infected bovine mammary epithelial cell line MAC-T by RNA-seq analysis. Oxid Med Cell Longev 2021:8460355
pubmed: 34367468
pmcid: 8342165
doi: 10.1155/2021/8460355
Jin W, Ibeagha-Awemu EM, Liang G, Beaudoin F, Zhao X, Guan le L (2014) Transcriptome microRNA profiling of bovine mammary epithelial cells challenged with Escherichia coli or Staphylococcus aureus bacteria reveals pathogen directed microRNA expression profiles. BMC Genomics 15:181
pubmed: 24606609
pmcid: 4029070
doi: 10.1186/1471-2164-15-181
Lawless N, Vegh P, O’Farrelly C, Lynn DJ (2014) The role of microRNAs in bovine infection and immunity. Front Immunol 5:611
pubmed: 25505900
pmcid: 4245999
doi: 10.3389/fimmu.2014.00611
Cuccato M, Divari S, Sacchi P, Girolami F, Cannizzo FT (2022) MALDI-TOF mass spectrometry profiling of bovine skim milk for subclinical mastitis detection. Front Vet Sci 9:1009928
pubmed: 36532342
pmcid: 9753775
doi: 10.3389/fvets.2022.1009928
Bruno S, Chiabotto G, Cedrino M, Ceccotti E, Pasquino C, De Rosa S, Grange C, Tritta S, Camussi G (2022) Extracellular vesicles derived from human liver stem cells attenuate chronic kidney disease development in an in vivo experimental model of renal ischemia and reperfusion injury. Int J Mol Sci 23:1485
pubmed: 35163409
pmcid: 8835844
doi: 10.3390/ijms23031485
Beccuti M, Cordero F, Arigoni M, Panero R, Amparore EG, Donatelli S, Calogero RA (2018) SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer. Bioinforma Oxf Engl 34:871–872
doi: 10.1093/bioinformatics/btx674
Ferrero G, Cordero F, Tarallo S, Arigoni M, Riccardo F, Gallo G, Ronco G, Allasia M, Kulkarni N, Matullo G, Vineis P, Calogero RA, Pardini B, Naccarati A (2018) Small non-coding RNA profiling in human biofluids and surrogate tissues from healthy individuals: description of the diverse and most represented species. Oncotarget 9:3097–3111
pubmed: 29423032
doi: 10.18632/oncotarget.23203
Kulkarni N, Alessandrì L, Panero R, Arigoni M, Olivero M, Ferrero G, Cordero F, Beccuti M, Calogero RA (2018) Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines. BMC Bioinformatics 19:349
pubmed: 30367595
pmcid: 6191970
doi: 10.1186/s12859-018-2296-x
Andrews S (2010) FastQC: a quality control tool for high throughput sequence data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc . Accessed 23 Aug 2024
Li H, Durbin R (2009) Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinforma Oxf Engl 25:1754–1760
doi: 10.1093/bioinformatics/btp324
Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinforma Oxf Engl 26:139–140
doi: 10.1093/bioinformatics/btp616
Wickham H (2016) ggplot2: elegant graphics for data analysis. ggplot2 XVI, p 260
Bullard JH, Purdom E, Hansen KD, Dudoit S (2010) Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC Bioinformatics 11:94
pubmed: 20167110
pmcid: 2838869
doi: 10.1186/1471-2105-11-94
Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, Smyth GK (2015) Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 43:e47
pubmed: 25605792
pmcid: 4402510
doi: 10.1093/nar/gkv007
Benjamini Y, Hochberg Y (1995) Controlling the false Discovery rate: a practical and powerful Approach to multiple testing. J R Stat Soc Ser B Methodol 57:289–300
doi: 10.1111/j.2517-6161.1995.tb02031.x
Sticht C, De La Torre C, Parveen A, Gretz N (2018) miRWalk: an online resource for prediction of microRNA binding sites. PLoS One 13:e0206239
pubmed: 30335862
pmcid: 6193719
doi: 10.1371/journal.pone.0206239
Zhou G, Pang Z, Lu Y, Ewald J, Xia J (2022) OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics. Nucleic Acids Res 50:W527–W533
pubmed: 35639733
pmcid: 9252810
doi: 10.1093/nar/gkac376
Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A, Fridman WH, Pagès F, Trajanoski Z, Galon J (2009) ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics 25:1091–1093
pubmed: 19237447
pmcid: 2666812
doi: 10.1093/bioinformatics/btp101
Cheng WN, Han SG (2020) Bovine mastitis: risk factors, therapeutic strategies, and alternative treatments — a review. Asian-Australas J Anim Sci 33:1699–1713
pubmed: 32777908
pmcid: 7649072
doi: 10.5713/ajas.20.0156
Naeem A, Zhong K, Moisá SJ et al (2012) Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis J Dairy Sci 95:6397–6408
pubmed: 22959936
doi: 10.3168/jds.2011-5173
Chen L, Liu X, Li Z, Wang H, Liu Y, He H, Yang J, Niu F, Wang L, Guo J (2014) Expression differences of miRNAs and genes on NF-κB pathway between the healthy and the mastitis Chinese holstein cows. Gene 545:117–125
pubmed: 24793582
doi: 10.1016/j.gene.2014.04.071
Fang L, Hou Y, An J, Li B, Song M, Wang X, Sørensen P, Dong Y, Liu C, Wang Y, Zhu H, Zhang S, Yu Y (2016) Genome-wide transcriptional and post-transcriptional regulation of innate immune and defense responses of bovine mammary gland to Staphylococcus aureus Front Cell Infect Microbiol 6:193
pubmed: 28083515
pmcid: 5183581
doi: 10.3389/fcimb.2016.00193
Pu J, Li R, Zhang C, Chen D, Liao X, Zhu Y, Geng X, Ji D, Mao Y, Gong Y, Yang Z (2017) Expression profiles of miRNAs from bovine mammary glands in response to Streptococcus agalactiae-induced mastitis. J Dairy Res 84:300–308
pubmed: 28831974
doi: 10.1017/S0022029917000437
Cai M, He H, Jia X, Chen S, Wang J, Shi Y, Liu B, Xiao W, Lai S (2018) Genome-wide microRNA profiling of bovine milk-derived exosomes infected with Staphylococcus aureus Cell Stress Chaperones 23:663–672
pubmed: 29383581
pmcid: 6045547
doi: 10.1007/s12192-018-0876-3
Tzelos T, Ho W, Charmana VI, Lee S, Donadeu FX (2022) MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle. Sci Rep 12:5131
pubmed: 35332227
pmcid: 8948199
doi: 10.1038/s41598-022-09214-9
Ludwig N, Leidinger P, Becker K, Backes C, Fehlmann T, Pallasch C, Rheinheimer S, Meder B, Stähler C, Meese E, Keller A (2016) Distribution of miRNA expression across human tissues. Nucleic Acids Res 44:3865–3877
pubmed: 26921406
pmcid: 4856985
doi: 10.1093/nar/gkw116
Guo X, Guo A (2019) Profiling circulating microRNAs in serum of Fasciola gigantica-infected buffalo. Mol Biochem Parasitol 232:111201
pubmed: 31377228
doi: 10.1016/j.molbiopara.2019.111201
Yu X, Zhai Q, Fu Z, Hong Y, Liu J, Li H, Lu K, Zhu C, Lin J, Li G (2019) Comparative analysis of microRNA expression profiles of adult Schistosoma japonicum isolated from water buffalo and yellow cattle. Parasit Vectors 12:196
pubmed: 31046821
pmcid: 6498558
doi: 10.1186/s13071-019-3450-7
Zhou X, Hong Y, Shang Z, Abuzeid AMI, Lin J, Li G (2022) The potential role of microRNA-124-3p in growth, development, and reproduction of Schistosoma Japonicum Front Cell Infect Microbiol 12:862496
pubmed: 35493736
pmcid: 9043613
doi: 10.3389/fcimb.2022.862496
Lie PPY, Cheng CY, Mruk DD (2013) Signalling pathways regulating the blood-testis barrier. Int J Biochem Cell Biol 45:621–625
pubmed: 23262290
doi: 10.1016/j.biocel.2012.12.009
Webb LA, Ghaffari MH, Sadri H, Schuh K, Zamarian V, Koch C, Trakooljul N, Wimmers K, Lecchi C, Ceciliani F, Sauerwein H (2020) Profiling of circulating microRNA and pathway analysis in normal- versus over-conditioned dairy cows during the dry period and early lactation. J Dairy Sci 103:9534–9547
pubmed: 32828512
doi: 10.3168/jds.2020-18283
Torabi S, Tamaddon M, Asadolahi M, Shokri G, Tavakoli R, Tasharrofi N, Rezaei R, Tavakolpour V, Sazegar H, Kouhkan F (2019) Mir-455-5p downregulation promotes inflammation pathways in the relapse phase of relapsing-remitting multiple sclerosis disease. Immunogenetics 71:87–95
pubmed: 30310937
doi: 10.1007/s00251-018-1087-x
Shao M, Xu Q, Wu Z, Chen Y, Shu Y, Cao X, Chen M, Zhang B, Zhou Y, Yao R, Shi Y, Bu H (2020) Exosomes derived from human umbilical cord mesenchymal stem cells ameliorate IL-6-induced acute liver injury through miR-455-3p. Stem Cell Res Ther 11:37
pubmed: 31973730
pmcid: 6979401
doi: 10.1186/s13287-020-1550-0
Zhang Z, Luo W, Han Y, Misrani A, Chen H, Long C (2022) Effect of microRNA-455-5p (miR-455-5p) on the expression of the cytokine signaling-3 (SOCS3) gene during myocardial infarction. J Biomed Nanotechnol 18:202–210
pubmed: 35180913
doi: 10.1166/jbn.2022.3231
Muroya S, Ogasawara H, Hojito M (2015) Grazing affects exosomal circulating microRNAs in cattle. PLoS One 10:e0136475
pubmed: 26308447
pmcid: 4550388
doi: 10.1371/journal.pone.0136475
Addis MF, Maffioli EM, Ceciliani F, Tedeschi G, Zamarian V, Tangorra F, Albertini M, Piccinini R, Bronzo V (2020) Influence of subclinical mastitis and intramammary infection by coagulase-negative staphylococci on the cow milk peptidome. J Proteom 226:103885
doi: 10.1016/j.jprot.2020.103885
Giagu A, Penati M, Traini S, Dore S, Addis MF (2022) Milk proteins as mastitis markers in dairy ruminants—a systematic review. Vet Res Commun 46:329–351
pubmed: 35195874
pmcid: 9165246
doi: 10.1007/s11259-022-09901-y
Qi Y, Cui L, Ge Y, Shi Z, Zhao K, Guo X, Yang D, Yu H, Cui L, Shan Y, Zhou M, Wang H, Lu Z (2012) Altered serum microRNAs as biomarkers for the early diagnosis of pulmonary tuberculosis infection. BMC Infect Dis 12:384
pubmed: 23272999
pmcid: 3568404
doi: 10.1186/1471-2334-12-384
Ndzi EN, Nkenfou CN, Mekue LM, Zentilin L, Tamgue O, Pefura EWY, Kuiaté JR, Giacca M, Ndjolo A (2019) MicroRNA hsa-miR-29a-3p is a plasma biomarker for the differential diagnosis and monitoring of tuberculosis. Tuberculosis 114:69–76
pubmed: 30711160
doi: 10.1016/j.tube.2018.12.001
Luoreng ZM, Wang XP, Mei CG, Zan LS (2018) Comparison of microRNA profiles between bovine mammary glands infected with Staphylococcus aureus and Escherichia coli Int J Biol Sci 14:87–99
pubmed: 29483828
pmcid: 5821052
doi: 10.7150/ijbs.22498
Mansor R, Mullen W, Albalat A, Zerefos P, Mischak H, Barrett DC, Biggs A, Eckersall PD (2013) A peptidomic approach to biomarker discovery for bovine mastitis. J Proteom 85:89–98
doi: 10.1016/j.jprot.2013.04.027
De Silva N, Samblas M, Martínez JA, Milagro FI (2018) Effects of exosomes from LPS-activated macrophages on adipocyte gene expression, differentiation, and insulin-dependent glucose uptake. J Physiol Biochem 74:559–568
pubmed: 29560554
doi: 10.1007/s13105-018-0622-4
Zapała B, Kamińska A, Piwowar M, Paziewska A, Gala-Błądzińska A, Stępień EŁ (2023) miRNA signature of urine extracellular vesicles shows the involvement of inflammatory and apoptotic processes in diabetic chronic kidney disease. Pharm Res 40:817–832
pubmed: 36859746
pmcid: 10126023
doi: 10.1007/s11095-023-03481-5
Lee A, Papangeli I, Park Y, Jeong HN, Choi J, Kang H, Jo HN, Kim J, Chun HJ (2017) A PPARγ-dependent miR-424/503-CD40 axis regulates inflammation mediated angiogenesis. Sci Rep 7:2528
pubmed: 28566713
pmcid: 5451412
doi: 10.1038/s41598-017-02852-4
Zhou R, Gong AY, Chen D, Miller RE, Eischeid AN, Chen XM (2013) Histone deacetylases and NF-kB signaling coordinate expression of CX3CL1 in epithelial cells in response to microbial challenge by suppressing miR-424 and miR-503. PLoS One 8:e65153
pubmed: 23724129
pmcid: 3665534
doi: 10.1371/journal.pone.0065153
Soares MF, Melo LM, Bragato JP, Furlan AO, Scaramele NF, Lopes FL, Lima VMF (2021) Differential expression of miRNAs in canine peripheral blood mononuclear cells (PBMC) exposed to Leishmania infantum in vitro. Res Vet Sci 134:58–63
pubmed: 33302213
doi: 10.1016/j.rvsc.2020.11.021
Ju Z, Jiang Q, Liu G, Wang X, Luo G, Zhang Y, Zhang J, Zhong J, Huang J (2018) Solexa sequencing and custom microRNA chip reveal repertoire of microRNAs in mammary gland of bovine suffering from natural infectious mastitis. Anim Genet 49:3–18
pubmed: 29315680
doi: 10.1111/age.12628
Saenz-de-Juano MD, Silvestrelli G, Weber A, Röhrig C, Schmelcher M, Ulbrich SE (2022) Inflammatory response of primary cultured bovine mammary epithelial cells to Staphylococcus aureus extracellular vesicles. Biology 11:415
pubmed: 35336789
pmcid: 8944978
doi: 10.3390/biology11030415
Lai YC, Fujikawa T, Maemura T, Ando T, Kitahara G, Endo Y, Yamato O, Koiwa M, Kubota C, Miura N (2017) Inflammation-related microRNA expression level in the bovine milk is affected by mastitis. PLoS One 12:e0177182
pubmed: 28520748
pmcid: 5435311
doi: 10.1371/journal.pone.0177182
Srikok S, Patchanee P, Boonyayatra S, Chuammitri P (2020) Potential role of MicroRNA as a diagnostic tool in the detection of bovine mastitis. Prev Vet Med 182:105101
pubmed: 32823253
doi: 10.1016/j.prevetmed.2020.105101
Bagnicka E, Kawecka-Grochocka E, Pawlina-Tyszko K, Zalewska M, Kapusta A, Kościuczuk E, Marczak S, Ząbek T (2021) MicroRNA expression profile in bovine mammary gland parenchyma infected by coagulase-positive or coagulase-negative staphylococci. Vet Res 52:41
pubmed: 33676576
pmcid: 7937231
doi: 10.1186/s13567-021-00912-2
Özdemir S (2020) Identification and comparison of exosomal microRNAs in the milk and colostrum of two different cow breeds. Gene 743:144609
pubmed: 32220600
doi: 10.1016/j.gene.2020.144609
Li Y, Zang H, Zhang X, Huang G (2020) Exosomal Circ-ZNF652 promotes cell proliferation, migration, invasion and glycolysis in hepatocellular carcinoma via MiR-29a-3p/gucd1 axis. Cancer Manag Res 12:7739–7751
pubmed: 32943922
pmcid: 7473989
doi: 10.2147/CMAR.S259424
Pawlowski K, Lago-Novais D, Bevilacqua C, Mobuchon L, Crapart N, Faulconnier Y, Boby C, Carvalho G, Martin P, Leroux C (2020) Different miRNA contents between mammary epithelial cells and milk fat globules: a random or a targeted process? Mol Biol Rep 47:8259–8264
pubmed: 32909217
doi: 10.1007/s11033-020-05787-8
Leroux C, Pawlowski K, Billa P-A, Pires JAA, Faulconnier Y (2022) Milk fat globules as a source of microRNAs for mastitis detection. Livest Sci 263:104997
doi: 10.1016/j.livsci.2022.104997