This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Adkins P.R.F., Middleton J.R.: Methods for diagnosing mastitis. Vet Clin North America Food Anim Pract 2018, 34, 479–491.AdkinsP.R.F.,MiddletonJ.R.:Methods for diagnosing mastitis.2018,34,479–491.Search in Google Scholar
Alsaweed M., Lai C.T., Hartmann P.E., Geddes D.T., Kakulas F.: Human milk miRNAs primarily originate from the mammary gland resulting in unique miRNA profiles of fractionated milk. Sci Rep 2016, 6, 20680–20686, doi: 10.1038/srep20680.AlsaweedM.,LaiC.T.,HartmannP.E.,GeddesD.T.,KakulasF.:Human milk miRNAs primarily originate from the mammary gland resulting in unique miRNA profiles of fractionated milk.2016,6,20680–20686,doi:10.1038/srep20680.Open DOISearch in Google Scholar
Benjamini Y., Hochberg Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stat Society 1995, 57, 289–300.BenjaminiY.,HochbergY.:Controlling the false discovery rate: a practical and powerful approach to multiple testing.1995,57,289–300.Search in Google Scholar
Blowey R., Edmondson P.: Mastitis control in dairy herds. CABI. Book 2010.BloweyR.,EdmondsonP.:.CABI.Book2010.Search in Google Scholar
Chakraborty S., Dhama K., Tiwari R., Iqbal Y.M., Khurana S.K., Khandia R., Munjal A., Munuswamy P., Kumar M.A., Singh M., Singh R., Gupta V.K., Chaicumpa W.: Technological interventions and advances in the diagnosis of intramammary infections in animals with emphasis on bovine population-a review. Vet Q 2019, 39, 76–94, doi: 10.1080/01652176.2019.1642546.ChakrabortyS.,DhamaK.,TiwariR.,IqbalY.M.,KhuranaS.K.,KhandiaR.,MunjalA.,MunuswamyP.,KumarM.A.,SinghM.,SinghR.,GuptaV.K.,ChaicumpaW.:Technological interventions and advances in the diagnosis of intramammary infections in animals with emphasis on bovine population-a review.2019,39,76–94,doi:10.1080/01652176.2019.1642546.Open DOISearch in Google Scholar
Chen L., Liu X., Li Z., Wang, H., Liu Y., He H., Yang J., Niu F., Wang L., Guo J.: Expression differences of miRNAs and genes on NF-kappaB pathway between the healthy and the mastitis Chinese Holstein cows. Gene 2014, 545, 117–125, doi: 10.1016/j.gene.2014.04.071.ChenL.,LiuX.,LiZ.,WangH.LiuY.,HeH.,YangJ.,NiuF.,WangL.,GuoJ.:Expression differences of miRNAs and genes on NF-kappaB pathway between the healthy and the mastitis Chinese Holstein cows.2014,545,117–125,doi:10.1016/j.gene.2014.04.071.Open DOISearch in Google Scholar
Dalen G.: The detection of intramammary infections using online somatic cell counts. J Dairy Sci 2019, 102, 5419–5429, doi: 10.3168/jds.2018-15295.DalenG.:The detection of intramammary infections using online somatic cell counts.2019,102,5419–5429,doi:10.3168/jds.2018-15295.Open DOISearch in Google Scholar
Das K., Rao L.: The Role of microRNAs in Inflammation. Int J Mol Sci 2022, 23, 15479–15484, doi: 10.3390/ijms232415479.DasK.,RaoL.:The Role of microRNAs in Inflammation.2022,23,15479–15484,doi:10.3390/ijms232415479.Open DOISearch in Google Scholar
Dingwell R.T., Leslie K.E., Schukken Y.H., Sargeant J.M., Timms L.L.: Evaluation of the California mastitis test to detect an intramammary infection with a major pathogen in early lactation dairy cows. Can Vet J 2003, 44, 413–415.DingwellR.T.,LeslieK.E.,SchukkenY.H.,SargeantJ.M.,TimmsL.L.:Evaluation of the California mastitis test to detect an intramammary infection with a major pathogen in early lactation dairy cows.2003,44,413–415.Search in Google Scholar
Dong H., Gao Q., Peng X., Sun Y., Han T., Zhao B.: Circulating MicroRNAs as potential biomarkers for veterinary infectious diseases. Front Vet Sci 2017, 4, 1–7, doi: 10.3389/fvets.2017. 00186.DongH.,GaoQ.,PengX.,SunY.,HanT.,ZhaoB.:Circulating MicroRNAs as potential biomarkers for veterinary infectious diseases.2017,4,1–7,doi:10.3389/fvets.2017. 00186.Open DOISearch in Google Scholar
Ebrahimie E., Ebrahimi F., Ebrahimi M., Tomlinson S., Petrovski K.: A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: Highlighting the predictive power of lactose and electrical conductivity. J Dairy Res 2018, 85, 193–200, doi: 10.1017/S0022029918000249.EbrahimieE.,EbrahimiF.,EbrahimiM.,TomlinsonS.,PetrovskiK.:A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: Highlighting the predictive power of lactose and electrical conductivity.2018,85,193–200,doi:10.1017/S0022029918000249.Open DOISearch in Google Scholar
Fernandes L., Guimaraes I., Noyes N.R., Caixeta L.S., Machado V.S.: Effect of subclinical mastitis detected in the first month of lactation on somatic cell count linear scores, milk yield, fertility, and culling of dairy cows in certified organic herds. J Dairy Sci 2021, 2, 2140–2150, doi: 10.3168/jds.2020-19153.FernandesL.,GuimaraesI.,NoyesN.R.,CaixetaL.S.,MachadoV.S.:Effect of subclinical mastitis detected in the first month of lactation on somatic cell count linear scores, milk yield, fertility, and culling of dairy cows in certified organic herds.2021,2,2140–2150,doi:10.3168/jds.2020-19153.Open DOISearch in Google Scholar
Halasa T., Huijps K., Østerås O., Hogeveen H.: Economic effects of bovine mastitis and mastitis management: A review. Vet Quarterly 2007, 29, 18–31, doi: 10.1080/01652176.2007.9695224.HalasaT.,HuijpsK.,ØsteråsO.,HogeveenH.:Economic effects of bovine mastitis and mastitis management: A review.2007,29,18–31,doi:10.1080/01652176.2007.9695224.Open DOISearch in Google Scholar
Johnnidis J.B., Harris M.H., Wheeler R.T., Stehling-Sun S., Lam M.H., Kirak O., Brummelkamp T.R., Fleming M.D., Camargo F.D.: Regulation of progenitor cell proliferation and granulocyte function by microRNA-223. Nature 2008, 451, 1125–1129, doi: 10.1038/NATURE06607.JohnnidisJ.B.,HarrisM.H.,WheelerR.T.,Stehling-SunS.,LamM.H.,KirakO.,BrummelkampT.R.,FlemingM.D.,CamargoF.D.:Regulation of progenitor cell proliferation and granulocyte function by microRNA-223.2008,451,1125–1129,doi:10.1038/NATURE06607.Open DOISearch in Google Scholar
Kaczorek-Łukowska E., Małaczewska J., Wójcik R.: Streptococci as the new dominant aetiological factors of mastitis in dairy cows in north-eastern Poland: analysis of the results obtained in 2013–2019. Ir Vet J 2021, 74, 2, doi: 10.1186/s13620-020-00181-z.Kaczorek-ŁukowskaE.,MałaczewskaJ.,WójcikR.:Streptococci as the new dominant aetiological factors of mastitis in dairy cows in north-eastern Poland: analysis of the results obtained in 2013–2019.2021,74,2,doi:10.1186/s13620-020-00181-z.Open DOISearch in Google Scholar
Kuhn M.: Caret: Classification and Regression Training. R package version 6.0-93, https://CRAN.R-project.org/package=caret, 2022.KuhnM.:Caret: Classification and Regression Training.,https://CRAN.R-project.org/package=caret,2022.Search in Google Scholar
Lai Y.C., Fujikawa T., Ando T., Kitahara G., Koiwa M., Kubota C., Miura N.: Rapid Communication: MiR-92a as a housekeeping gene for analysis of bovine mastitis-related microRNA in milk. J Anim Sci 2017, 95, 2732–2735, doi: 10.2527/jas.2017.1384.LaiY.C.,FujikawaT.,AndoT.,KitaharaG.,KoiwaM.,KubotaC.,MiuraN.:Rapid Communication: MiR-92a as a housekeeping gene for analysis of bovine mastitis-related microRNA in milk.2017,95,2732–2735,doi:10.2527/jas.2017.1384.Open DOISearch in Google Scholar
Lai Y.C., Fujikawa T., Maemura T., Ando T., Kitahara G., Endo Y., Yamato O., Koiwa M., Kubota Ch., Miura N.: Inflammation-related microRNA expression level in the bovine milk is affected by mastitis. PLoS One 2017, 12, e0177182, doi: 10.1371/journal.pone.0177182.LaiY.C.,FujikawaT.,MaemuraT.,AndoT.,KitaharaG.,EndoY.,YamatoO.,KoiwaM.,KubotaCh.,MiuraN.:Inflammation-related microRNA expression level in the bovine milk is affected by mastitis.2017,12,e0177182,doi:10.1371/journal.pone.0177182.Open DOISearch in Google Scholar
Lai Y.C., Lai Y.T., Rahman M.M., Chen H.W., Husna A.A., Kubota Ch., Miura N.: Bovine milk transcriptome analysis reveals microRNAs and RNU2 involved in mastitis. FEBS J 2020, 287, 1899–1918, doi: 10.1111/febs.15114.LaiY.C.,LaiY.T.,RahmanM.M.,ChenH.W.,HusnaA.A.,KubotaCh.,MiuraN.:Bovine milk transcriptome analysis reveals microRNAs and RNU2 involved in mastitis.2020,287,1899–1918,doi:10.1111/febs.15114.Open DOISearch in Google Scholar
Li. R., Zhang Ch.L., Liao X.X., Chen D., Wang W., Zhu Y., Geng X., Ji D., Mao Y., Gong Y., Yang Z.-P.: Transcriptome MicroRNA Profiling of Bovine Mammary Glands Infected with Staphylococcus aureus. Int J Mol Sci 2015, 16, 4997–5013, doi: 10.3390/ijms16034997.Li.R.,ZhangCh.L.,LiaoX.X.,ChenD.,WangW.,ZhuY.,GengX.,JiD.,MaoY.,GongY.,YangZ.-P.:Transcriptome MicroRNA Profiling of Bovine Mammary Glands Infected with Staphylococcus aureus.2015,16,4997–5013,doi:10.3390/ijms16034997.Open DOISearch in Google Scholar
Moyes K.M., Sorensen P., Bionaz M.: The impact of intramammary Escherichia coli challenge on liver and mammary transcriptome and cross-talk in dairy cows during early lactation using RNAseq. PLoS One 2016, 11, e0157480, doi: 10.1371/journal.pone.0157480.MoyesK.M.,SorensenP.,BionazM.:The impact of intramammary Escherichia coli challenge on liver and mammary transcriptome and cross-talk in dairy cows during early lactation using RNAseq.2016,11,e0157480,doi:10.1371/journal.pone.0157480.Open DOISearch in Google Scholar
Naeem K., Zhong S.J., Moisá J.K., Drackley K.M., Moyes J.J.: Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis. J Dairy Sci 2012, 95, 6397-6408, doi: 10.3168/jds.2011-5173.NaeemK.,ZhongS.J.,MoisáJ.K.,DrackleyK.M.,MoyesJ.J.:Bioinformatics analysis of microRNA and putative target genes in bovine mammary tissue infected with Streptococcus uberis.2012,95,6397-6408,doi:10.3168/jds.2011-5173.Open DOISearch in Google Scholar
National Mastitis Council: Laboratory Handbook on Bovine Mastitis, National Mastitis Council, New Prague, MN, 2017.National Mastitis Council:,National Mastitis Council,New Prague, MN,2017.Search in Google Scholar
Oyelami F.O., Usman T., Suravajhala P., Ali N., Do D.N.: Emerging Roles of Noncoding RNAs in Bovine Mastitis Diseases. Pathogens 2022, 11, 1009, doi: 10.3390/pathogens11091009.OyelamiF.O.,UsmanT.,SuravajhalaP.,AliN.,DoD.N.:Emerging Roles of Noncoding RNAs in Bovine Mastitis Diseases.2022,11,1009,doi:10.3390/pathogens11091009.Open DOISearch in Google Scholar
Precazzini F., Detassis S., Imperatori A.S., Denti M.A., Campomenosi P.: Measurements Methods for the Development of MicroRNA-Based Tests for Cancer Diagnosis. Int J Mol Sci 2021, 22, 1176, doi: 10.3390/ijms22031176.PrecazziniF.,DetassisS.,ImperatoriA.S.,DentiM.A.,CampomenosiP.:Measurements Methods for the Development of MicroRNA-Based Tests for Cancer Diagnosis.2021,22,1176,doi:10.3390/ijms22031176.Open DOISearch in Google Scholar
Qi M., Geng H., Geng N., Cui Y., Qi C., Cheng G., Song K., Hu L., Liu Y., Lui J., Han B.: Streptococcus agalactiae-induced autophagy of bovine mammary epithelial cell via PI3K/AKT/mTOR pathway. J Dairy Res 2022, 7, 1–7, doi: 10.1017/S0022029922000243.QiM.,GengH.,GengN.,CuiY.,QiC.,ChengG.,SongK.,HuL.,LiuY.,LuiJ.,HanB.:Streptococcus agalactiae-induced autophagy of bovine mammary epithelial cell via PI3K/AKT/mTOR pathway.2022,7,1–7,doi:10.1017/S0022029922000243.Open DOISearch in Google Scholar
R Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing 2022, Vienna, Austria. https://www.R-project.org/.R Core Team: R:2022,Vienna, Austria.https://www.R-project.org/.Search in Google Scholar
Romero J., Benavides E., Meza C.: Assessing Financial Impacts of Subclinical Mastitis on Colombian Dairy Farms. Front Vet Sci 2018, 5, 273, doi: 10.3389/fvets.2018.00273.RomeroJ.,BenavidesE.,MezaC.:Assessing Financial Impacts of Subclinical Mastitis on Colombian Dairy Farms.2018,5,273,doi:10.3389/fvets.2018.00273.Open DOISearch in Google Scholar
Schepers A.J., Lam T.J., Schukken Y.H., Wilmink J.B., Hanekamp W.J.: Estimation of variance components for somatic cell counts to determine thresholds for uninfected quarters. J Dairy Sci 1997, 80, 1833–1840, doi: 10.3168/jds.S0022-0302(97)76118-6.SchepersA.J.,LamT.J.,SchukkenY.H.,WilminkJ.B.,HanekampW.J.:Estimation of variance components for somatic cell counts to determine thresholds for uninfected quarters.1997,80,1833–1840,doi:10.3168/jds.S0022-0302(97)76118-6.Open DOISearch in Google Scholar
Seegers H., Fourichon C., Beaudeau F.: Production effects related to mastitis and mastitis economics in dairy cattle herds. Vet Res 2003, 34, 475–491, doi: 10.1051/vetres:2003027.SeegersH.,FourichonC.,BeaudeauF.:Production effects related to mastitis and mastitis economics in dairy cattle herds.2003,34,475–491,doi:10.1051/vetres:2003027.Open DOISearch in Google Scholar
Sharma N., Singh N., Bhadwal M.: Relationship of Somatic Cell Count and Mastitis: An Overview. Anim Biosci 2011, 24, 429–438, doi: 10.5713/ajas.2011.10233.SharmaN.,SinghN.,BhadwalM.:Relationship of Somatic Cell Count and Mastitis: An Overview.2011,24,429–438,doi:10.5713/ajas.2011.10233.Open DOISearch in Google Scholar
Smulski S., Gehrke M., Libera K., Cieślak A., Huang H., Patra K.A., Szumacher-Strabel M.: Effects of various mastitis treatments on the reproductive performance of cows. BMC Vet Res 2020, 16, 99, doi: 10.1186/s12917-020-02305-7.SmulskiS.,GehrkeM.,LiberaK.,CieślakA.,HuangH.,PatraK.A.,Szumacher-StrabelM.:Effects of various mastitis treatments on the reproductive performance of cows.2020,16,99,doi:10.1186/s12917-020-02305-7.Open DOISearch in Google Scholar
Sohel M.M.H.: Circulating microRNAs as biomarkers in cancer diagnosis. Life Sci 2020, 248, 117473, doi: 10.1016/j.lfs.2020.117473.SohelM.M.H.:Circulating microRNAs as biomarkers in cancer diagnosis.2020,248,117473,doi:10.1016/j.lfs.2020.117473.Open DOISearch in Google Scholar
Srikok S., Patchanee P., Boonyayatra S., Chuammitri P.: Potential role of MicroRNA as a diagnostic tool in the detection of bovine mastitis. Prevent Vet Med 2020, 182, 105101, doi: 10.1016/j.prevetmed.2020.105101.SrikokS.,PatchaneeP.,BoonyayatraS.,ChuammitriP.:Potential role of MicroRNA as a diagnostic tool in the detection of bovine mastitis.2020,182,105101,doi:10.1016/j.prevetmed.2020.105101.Open DOISearch in Google Scholar
Taganov K.D., Boldin M.P., Chang K.J., Baltimore D.: NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc Natl Acad Sci 2006, 103, 12481–12486, doi: 10.1073/pnas.0605298103.TaganovK.D.,BoldinM.P.,ChangK.J.,BaltimoreD.:NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses.2006,103,12481–12486,doi:10.1073/pnas.0605298103.Open DOISearch in Google Scholar
Tam W., Dahlberg J.E.: miR-155/BIC as an oncogenic microRNA. Genes Chromosomes Cancer 2006, 45, 211–212, doi: 10.1038/s41388-018-0571-y.TamW.,DahlbergJ.E.:miR-155/BIC as an oncogenic microRNA.2006,45,211–212,doi:10.1038/s41388-018-0571-y.Open DOISearch in Google Scholar
Tzelos T., Ho W., Charmana V.I.: MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle. Sci Rep 2022, 12, 5131, doi: 10.1038/s41598-022-09214-9.TzelosT.,HoW.,CharmanaV.I.:MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle.2022,12,5131,doi:10.1038/s41598-022-09214-9.Open DOISearch in Google Scholar
Wall S.K., Wellnitz O., Bruckmaier R.M., Schwarz D.: Differential somatic cell count in milk before, during, and after lipopolysaccharide- and lipoteichoic-acid-induced mastitis in dairy cows. J Dairy Sci 2018, 101, 5362–5373, doi: 10.3168/jds.2017-14152.WallS.K.,WellnitzO.,BruckmaierR.M.,SchwarzD.:Differential somatic cell count in milk before, during, and after lipopolysaccharide- and lipoteichoic-acid-induced mastitis in dairy cows. J2018,101,5362–5373,doi:10.3168/jds.2017-14152.Open DOISearch in Google Scholar
Wellnitz O., Bruckmaier R.M.: The innate immune response of the bovine mammary gland to bacterial infection. Vet J 2012, 192, 148–152, doi: 10.1016/j.jinf.2006.06.010.WellnitzO.,BruckmaierR.M.:The innate immune response of the bovine mammary gland to bacterial infection.2012,192,148–152,doi:10.1016/j.jinf.2006.06.010.Open DOISearch in Google Scholar