Review on Current Diagnostic Methods of Bovine Mastitis

Crossmark: check for updates

Authors

  • Gelan D. Dahesa, DVM School of Veterinary Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia
  • Taju Nigussie, DVM, MSc School of Veterinary Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia
  • Isayas A. Kebede, DVM School of Veterinary Medicine, Ambo University, P. O. Box 19, Guder, Ethiopia
  • Abrahim D. Ahmed, DVM, MSc Ethiopian Agriculture Authority, Eastern Branch, Dire Dawa, Ethiopia

DOI:

https://doi.org/10.17140/VMOJ-8-178

Keywords:

Bovine; Diagnostic method; Mastitis

Abstract

Based on the source, it can be either contagious or environmental; on the other hand, clinical and subclinical mastitis are based on
their severity. The most important step between disease etiology and cure is accurate disease diagnosis. A cost-effective, dependable, and quick diagnostic instrument is essential for udder health management. Therefore, the objective of this article is to review
current diagnostic methods for bovine mastitis. The diagnostic methods include clinical diagnosis, microscopically examined specimens, conventional methods, power of hydrogen (pH) tests, microbial culture, molecular methods, and those based on emerging
technology. Conventional methods like the strip cup test, California mastitis test, Wisconsin mastitis test, somatic cell count test,
and electrical conductivity test are used as screening tests that are not specific to any pathogen. Microbial culture-based methods are
the gold standard for identifying mastitis pathogens and are frequently used, but they have some drawbacks. Advanced molecular
methods such as polymerase chain reaction and its version, loop-mediated amplification, are used for the identification of causative
agents at the strain level. Emerging technologies such as infrared thermography and biosensors have the potential to match or
surpass the diagnostic methods mentioned above concerning sensitivity, selectivity, accuracy, and realism. Emerging technologies
are growing at a fast pace to diagnose human cases, but applications for the veterinary market, and specifically, for the diagnosis of
mastitis, remain limited. Both specializations in training and experience in the interpretation of results are needed for implementing
advanced technologies for efficient mastitis diagnosis and improving udder health management. It should be better to adopt and
employ advanced diagnostic methods, such as advanced molecular tests and emerging technology.

References

Fesseha H, Mathewos M, Aliye S, Wolde A. Study on the preva-lence of bovine mastitis and associated risk factors in dairy farms of Modjo town and suburbs, central Oromia, Ethiopia. Vet Med (Auckl). 2021; 12: 271-283. doi: 10.2147/VMRR.S323460

Ababu A, Endashaw D, Fesseha H. Isolation and antimicrobial susceptibility profile of Escherichia coli O157: H7 from raw milk of dairy cattle in Holeta district, Central Ethiopia. Int J Microbiol. 2020; 2020: 1-8. doi: 10.1155/2020/6626488

Maity S, Ambatipudi K. Targeting the zoonotic potential of bo-vine mastitis by an integrated one-health approach. Authorea Pre-prints. 2020. doi: 10.22541/au.158949020.01154128

Klaas IC, Zadoks RN. An update on environmental mastitis: Challenging perceptions. Transbound Emerg Dis. 2018; 65: 166-185. doi: 10.1111/tbed.12704

Kibebew K. Bovine mastitis: A review of causes and epide-miological point of view. Journal of Biology, Agriculture and Health-care. 2017; 7(2): 1-4. Website. https://core.ac.uk/download/ pdf/234662234.pdf. Accessed October 17, 2023.

Radinovic MZ, Davidov I, Kovacevic Z, Stojanovic D, Vukoma-novic AG, Erdeljan M. Basic principles of mastitis therapy. Veteri-nary Journal of Republic of Srpska (Banja Luka). 2019; 19(1): 110-114. doi: 10.7251/VETJEN1901110R

Scott P, Penny CD, Macrae A. Cattle Medicine. FL,USA: CRC Press; 2011.

Egyedy AF, Ametaj BN. Mastitis: Impact of dry period, patho-gens, and immune responses on etiopathogenesis of disease and its association with periparturient diseases. Dairy. 2022; 3(4): 881-906. doi: 10.3390/dairy3040061

Ashraf A, Imran M. Diagnosis of bovine mastitis: from labo-ratory to farm. Trop Anim Health Prod. 2018; 50: 1193-1202. doi:

1007/s11250-018-1629-0 10. Girma A, Tamir D. Prevalence of bovine mastitis and its asso-ciated risk factors among dairy cows in Ethiopia during 2005-2022: A systematic review and meta-analysis. Vet Med Int. 2022; 2022: 7775197. doi: 10.1155/2022/7775197

Mahmood Y. The future of PCR technologies in the diagnosis of bovine mastitis pathogens. Adv Dairy Res. 2013; 2(1): 1. doi: 10.4172/2329-888X.1000e106

Malcata FB, Pepler PT, O’Reilly EL, et al. Point-of-care tests for bovine clinical mastitis: what do we have and what do we need? J Dairy Res. 2020; 87(S1): 60-66. doi: 10.1017/S002202992000062X

Godden SM, Royster E, Timmerman J, Rapnicki P, Green H. Evaluation of an automated milk leukocyte differential test and the California Mastitis Test for detecting intramammary infection in early-and late-lactation quarters and cows. J Dairy Sci. 2017; 100(8): 6527-6544. doi: 10.3168/jds.2017-12548 63 Kebede IA, et al

Gurjar A, Gioia G, Schukken Y, Welcome F, Zadoks R, Mo-roni P. Molecular diagnostics applied to mastitis problems on dairy farms. Vet Clin North Am Food Anim Pract. 2012; 28(3): 565-576. doi: 10.1016/j.cvfa.2012.07.011

Steele NM. Mastitis Pathogen Identification using Polymerase Chain Reaction in New Zealand Milk Samples. [dissertation]. New Zealand: Massey University; 2015.

Duarte CM, Freitas PP, Bexiga R. Technological advances in bovine mastitis diagnosis: An overview. J Vet Diagn Invest. 2015; 27(6): 665-672. doi: 10.1177/1040638715603087

Adkins PR, Middleton JR, Fox L, Pighetti K, Petersson-Wolfe C. Laboratory Handbook on Bovine Mastitis. Madison, WI, USA: Na-tional Mastitis Council. Inc.; 2017.

Nyman AK, Waller KP, Emanuelson U, Frössling J. Sensitivity and specificity of PCR analysis and bacteriological culture of milk samples for identification of intramammary infections in dairy cows using latent class analysis. Prev Vet Med. 2016; 135: 123-131 doi: 10.1016/j.prevetmed.2016.11.009

Pérez-López B, Merkoçi A. Nanomaterials based biosensors for food analysis applications. Trends in Food Science & Technology. 2011; 22(11): 625-639. doi: 10.1016/j.tifs.2011.04.001

Martins SA, Martins VC, Cardoso FA, et al. Biosensors for on-farm diagnosis of mastitis. Front Bioeng Biotechnol. 2019; 7: 186. doi: 10.3389/fbioe.2019.00186

Sepúlveda-Varas P, Proudfoot KL, Weary DM, von Keyser-lingk MA. Changes in behaviour of dairy cows with clinical masti-tis. Applied Animal Behaviour Science. 2016; 175: 8-13. doi: 10.1016/j. applanim.2014.09.022

Rees A, Fischer-Tenhagen C, Heuwieser W. Udder firmness as a possible indicator for clinical mastitis. J Dairy Sci. 2017; 100(3): 2170-2183. doi: 10.3168/jds.2016-11940

Pal M, Regasa A, Gizaw F. Etiology, pathogenesis, risk factors, diagnosis and management of bovine mastitis: A comprehensive review. International Journal. 2019; 6: 40-55.

Suzuki N, Kaneko S, Isobe N. Rapid determination of patho-gens in mastitic milk of dairy cows using Gram staining. J Vet Med Sci. 2022; 84(3): 325-329. doi: 10.1292/jvms.21-0631

Vidlund J, Gelalcha BD, Swanson S, et al. Pathogenesis, diag-nosis, control, and prevention of bovine staphylococcal mastitis. Mastitis in Dairy Cattle, Sheep and Goats. 2022; 35: 35. doi: 10.5772/ intechopen.101596

Ferronatto JA, Ferronatto TC, Schneider M, et al. Diagnosing mastitis in early lactation: Use of Somaticell®, California mastitis test, and somatic cell count. Italian Journal of Animal Science. 2018; 17(3): 723-729. doi: 10.1080/1828051X.2018.1426394

Deb R, Kumar A, Chakraborty S, et al. Trends in diagnosis and control of bovine mastitis: A review. Pak J Biol Sci. 2013; 16(23): 1653-1661. doi: 10.3923/pjbs.2013.1653.1661

Audarya SD, Chhabra D, Sharda R, et al. Epidemiology of bo-vine mastitis and its diagnosis, prevention, and control. In: Mastitis in Dairy Cattle, Sheep and Goats. London, UK: IntechOpen; 2021. doi: 10.5772/intechopen.100582

Fulasa TT, Deressa FB. Bovine Mastitis in Ethiopia. London, UK: IntechOpen; 2021. doi: 10.5772/intechopen.100582

Zumba O, Nathaly M. Derivation of economic values of bo-vine milk production in the Joseguango Bajo parish using benefit functions. Latacunga, Ecuador: Technical University of Cotopaxi (UTC); 2022; 75.

Rossi RS, Amarante AF, Correia LB, et al. Diagnostic accu-racy of Somaticell, California Mastitis Test, and microbiological examination of composite milk to detect Streptococcus agalactiae intramammary infections. J Dairy Sci. 2018; 101(11): 10220-10229. doi: 10.3168/jds.2018-14753

Chakraborty S, Dhama K, Tiwari R, et al. Technological inter-ventions and advances in the diagnosis of intramammary infec-tions in animals with emphasis on bovine population—a review. Vet Q. 2019; 39(1): 76-94. doi: 10.1080/01652176.2019.1642546

Narváez-Semanate JL, Daza-Bolaños CA, Valencia-Hoyos CE, Hurtado-Garzón DT, Acosta-Jurado DC. Diagnostic methods of subclinical mastitis in bovine milk: An overview. Rev. Fac. Nac. Agron. Medellín. 2022; 75(3): 10077-10088. doi: 10.15446/rfnam. v75n3.100520

Riveros-Galán DS, Obando-Chaves M. Mastitis, somatic cell count, and its impact on the quality of dairy-products… An omis-sion in Colombia?: A review. Revista Colombiana de Ciencias Pecuarias. 2021; 34(4): 241-253. doi: 10.17533/udea.rccp.v34n4a01

Zhu Z, Lin B, Zhu X, Guo W. A rapid method of identify-ing mastitis degrees of bovines based on dielectric spectra of raw milk. Food Quality and Safety. 2023; 7: fyad014. doi: 10.1093/fqsafe/ fyad014

Adkins PR, Middleton JR. Methods for diagnosing masti-tis. Vet Clin North Am Food Anim Pract. 2018; 34(3): 479-491. doi: 10.1016/j.cvfa.2018.07.003

Halasa T, Kirkeby C. Differential somatic cell count: Value for udder health management. Front Vet Sci. 2020; 7: 609055. doi: 10.3389/fvets.2020.609055

Inzaghi V, Zucali M, Thompson PD, Penry JF, Reine-mann DJ. Changes in electrical conductivity, milk produc-tion rate, and milk flow rate prior to clinical mastitis confirma-tion. Italian Journal of Animal Science. 2021; 20(1): 1554-1561. doi: 10.1080/1828051X.2021.1984852 Review | Volume 8 | Issue 2 | Kebede IA, et al

Ganguly S, Shoukat S, Wani H, Ali U, Ali M. Mastitis and its diagnosis: A review. 2018. doi: 10.22271/ed.book01.a06

Duarte CMPC. Portable “lab-on-chip” Platform for Bovine Mastitis Diagnosis in Raw Milk. [dissertation]. Portugal; Universidade de Lis-boa. 2016: http://hdl.handle.net/10400.5/12011. Accessed Octo-ber 16, 2023.

Abdel-maged AD, El Sheita WA, Abdelwahab MG. Biochemi-cal study of DNA markers for bacterial infection in bovine mastitis. Benha Veterinary Medical Journal. 2016; 31(2): 93-100. doi: 10.21608/ bvmj.2016.31275

Kandeel SA, Megahed AA, Ebeid MH, Constable PD. The abil-ity of milk pH to predict subclinical mastitis and intramammary infection in quarters from lactating dairy cattle. J Dairy Sci. 2019; 102(2): 1417-1427. doi: 10.3168/jds.2018-14993

Mahapatra A, Panigrahi S, Patra RC, Rout M, Ganguly S. A study on bovine mastitis related oxidative stress along with thera-peutic regimen. Int J Curr Microbiol App Sci. 2018; 7: 247-256. doi: 10.20546/ijcmas.2018.701.027

Cork SC, Halliwell RW, eds. The Veterinary Laboratory and Field Manual. 3rd ed. Essex CM6 2HH, England: 5m Books Ltd; 2019.

Neculai-Valeanu AS, Ariton AM. Udder health monitoring for prevention of bovine mastitis and improvement of milk quality. Bioengineering (Basel). 2022; 9(11): 608. doi: 10.3390/bioengineer-ing9110608

Viora L, Graham EM, Mellor DJ, Reynolds K, Simoes PB, Ger-aghty TE. Evaluation of a culture-based pathogen identification kit for bacterial causes of bovine mastitis. Vet Rec. 2014; 175(4): 89. doi: 10.1136/vr.102499

Murphy SC, Martin NH, Barbano DM, Wiedmann M. Influ-ence of raw milk quality on processed dairy products: How do raw milk quality test results relate to product quality and yield? J Dairy Sci. 2016; 99(12): 10128-10149. doi: 10.3168/jds.2016-11172

Royster E, Godden S, Goulart D, Dahlke A, Rapnicki P, Tim-merman J. Evaluation of the Minnesota Easy Culture System II Bi-Plate and Tri-Plate for identification of common mastitis patho-gens in milk. J Dairy Sci. 2014; 97(6): 3648-3659. doi: 10.3168/ jds.2013-7748

Huma ZI, Sharma N, Kour S, Lee SJ. Phenotypic and molecular characterization of bovine mastitis milk origin bacteria and linkage of intramammary infection with milk quality. Front Vet Sci. 2022; 9: 885134. doi: 10.3389/fvets.2022.885134

Lago A, Godden SM. Use of rapid culture systems to guide clinical mastitis treatment decisions. Vet Clin North Am Food Anim Pract. 2018; 34(3): 389-412. doi: 10.1016/j.cvfa.2018.06.001

Lavaee, M., Eidi, S. and Khoramian, B. High prevalence of Prototheca spp. and isolation of fungal species in milk samples from cows suffering from mastitis in Mashhad city, northeast Iran. Iranian Journal of Veterinary Science and Technology. 2019; 11(2): 2126. doi: 10.22067/veterinary.v11i2.81838

Jones G, Bork O, Ferguson SA, Bates A. Comparison of an on-farm point-of-care diagnostic with conventional culture in analyz-ing bovine mastitis samples. J Dairy Res. 2019; 86(2): 222-225. doi: 10.1017/S0022029919000177

Mengistie D. PCR-based detection and identification of masti-tis-causing bacteria: A review. Archives of Infect Diseases & Therapy. 2022; 6(2): 163-168.

El-Sayed A, Awad W, Abdou NE, Vázquez HC. Molecu-lar biological tools applied for identification of mastitis-causing pathogens. Int J Vet Sci Med. 2017; 5(2): 89-97. doi: 10.1016/j. ijvsm.2017.08.002

Pokorska J, Kułaj D, Dusza M, Żychlińska-Buczek J, Makulska J. New rapid method of DNA isolation from milk somatic cells. Anim Biotechnol. 2016; 27(2): 113-117. doi: 10.1080/10495398.2015.1116446

Neculai-Valeanu AS, Ariton AM. Udder health monitor-ing for prevention of bovine mastitis and improvement of milk quality. Bioengineering. 2022; 9(11): 608. doi: 10.3390/bioengineer-ing9110608

Salisu IB, Amin AB, Ibrahim AA, Abdurrahman SL, Ali Q. Molecular techniques for rapid diagnosis of infectious livestock diseases. Nigerian Journal of Animal Science and Technology (NJAST). 2019; 2(1): 121-130.

Koskinen MT, Holopainen J, Pyörälä S, et al. Analytical speci-ficity and sensitivity of a real-time polymerase chain reaction assay for identification of bovine mastitis pathogens. J Dairy Sci. 2009; 92(3): 952-959. doi: 10.3168/jds.2008-1549

Koskinen MT, Wellenberg GJ, Sampimon OC, et al. Field com-parison of real-time polymerase chain reaction and bacterial cul-ture for identification of bovine mastitis bacteria. J Dairy Sci. 2010; 93(12): 5707-5715. doi: 10.3168/jds.2010-3167

Penry J, Malmo J, Mein G, Morton J. Molecular testing of Milk: Interpretation and application in Australian dairy herds. Paper pre-sented at: National Mastitis Council 54th Annual Meeting. NMC, Fort Worth, TX 2014. https://www.harrisparkgroup.com.au/wp-content/uploads/2016/09/Countdown-2012-Mastitis-molecular-tests-Symposium-JPenry.pdf. Accessed , 2023.

Cantekin Z, Ergün Y, Doğruer G, MK S, Solmaz H. Com-parison of PCR and culture methods for diagnosis of subclinical mastitis in dairy cattle. Kafkas Üniversitesi Veteriner Fakültesi Dergisi. 2015; 21(2). doi: 10.9775/kvfd.2014.12309

Boonyayatra S, Fox LK, Gay JM, Sawant A, Besser TE. Dis-65 Kebede IA, et al crimination between Mycoplasma and Acholeplasma species of bovine origin using digitonin disc diffusion assay, nisin disc diffu-sion assay, and conventional polymerase chain reaction. J Vet Diagn Invest. 2012; 24(1): 7-13. doi: 10.1177/1040638711425936

Mahmmod YS, Klaas IC, Enevoldsen C. DNA carryover in milk samples from routine milk recording used for PCR-based di-agnosis of bovine Staphylococcus aureus mastitis. J Dairy Sci. 2017; 100(7): 5709-5716. doi: 10.3168/jds.2016-12330

McDougall S, Williamson J, Gohary K, Lacy-Hulbert J. Detect-ing intramammary infection at the end of lactation in dairy cows. J Dairy Sci. 2021; 104(9): 10232-10249. doi: 10.3168/jds.2020-20036

Taponen S, Pyörälä S. Coagulase-negative staphylococci as a cause of bovine mastitis—Not so different from Staphylococcus aureus? Vet Microbiol. 2009; 134(1-2): 29-36. doi: 10.1016/j.vet-mic.2008.09.011

Amin AS, Hamouda RH, Abdel-All AA. PCR assays for detect-ing major pathogens of mastitis in milk samples. World J Dairy Food Sci. 2011; 6(2): 199-206.

Artika IM, Wiyatno A, Ma'roef CN. Pathogenic viruses: Mo-lecular detection and characterization. Infect Genet Evol. 2020; 81: 104215. doi: 10.1016/j.meegid.2020.104215

Koskinen MT, Wellenberg GJ, Sampimon OC, et al. Field com-parison of real-time polymerase chain reaction and bacterial cul-ture for identification of bovine mastitis bacteria. J Dairy Sci. 2010; 93(12): 5707-5715. doi: 10.3168/jds.2010-3167

Keane OM, Budd KE, Flynn J, McCoy F. Increased detection of mastitis pathogens by real-time PCR compared to bacterial cul-ture. Vet Rec. 2013; 173(11): 268. doi: 10.1136/vr.101598

Notomi T, Okayama H, Masubuchi H, et al. Loop-mediated isothermal amplification of DNA. Nucleic Acids Res. 2000; 28: e63. doi: 10.1093/nar/28.12.e63

Bora M, Mathew DD, Das H, Bora DP, Barman NN. Point of care diagnostics and non-invasive sampling strategy: A review on major advances in veterinary diagnostics. Acta Vet. 2022; 91(1): 17- 34. doi: 10.2754/avb202291010017

Kawai K, Inada M, Ito K, et al. Detection of bovine mastitis pathogens by loop-mediated isothermal amplification and an elec-trochemical DNA chip. J Vet Med Sci. 2017; 79(12): 1973-1977. doi: 10.1292/jvms.17-0263

Lee PLM. DNA amplification in the field: Move over PCR, here comes LAMP. Mol Ecol Resour. 2017; 17(2): 138-141. doi: 10.1111/1755-0998.12548

Parida M, Sannarangaiah S, Dash PK, Rao PV, Morita K. Loop-mediated isothermal amplification (LAMP): A new generation of innovative gene amplification technique; perspectives in clinical di-agnosis of infectious diseases. Rev Med Virol. 2008; 18(6): 407-421. doi: 10.1002/rmv.593

Soroka M, Wasowicz B, Rymaszewska A. Loop-mediated iso-thermal amplification (LAMP): The better sibling of PCR? Cells. 2021; 10(8): 1931. doi: 10.3390/cells10081931

Griffioen K, Cornelissen J, Heuvelink A, et al. Development and evaluation of 4 loop-mediated isothermal amplification assays to detect mastitis-causing bacteria in bovine milk samples. J Dairy Sci. 2020; 103(9): 8407-8420. doi: 10.3168/jds.2019-18035

Metzner M, Sauter-Louis C, Seemueller A, Petzl W, Klee W. Infrared thermography of the udder surface of dairy cattle: Char-acteristics, methods, and correlation with rectal temperature. Vet J. 2014; 199(1): 57-62. doi: 10.1016/j.tvjl.2013.10.030

Sathiyabarathi M, Jeyakumar S, Manimaran A, et al. Infra-red thermography: A potential non-invasive tool to monitor ud-der health status in dairy cows. Vet World. 2016; 9(10): 1075. doi: 10.14202/vetworld.2016.1075-1081

Sinha R, Bhakat M, Mohanty TK, et al. Infrared thermography as a non-invasive technique for early detection of mastitis in dairy animals-A review. Asian Journal of Dairy & Food Research. 2018; 37(1). doi: 10.18805/ajdfr.R-1746

Silva RA, Pandorfi H, Almeida GL, Silva MV. Exploratory data inference for detecting mastitis in dairy cattle. Acta Sci Anim Sci. 2020; 42: doi: 10.4025/actascianimsci.v42i1.46394 Submit your article to this journal | https://openventio.org/submit-manuscript/ Review | Volume 8 | Issue 2 | Kebede IA, et al

Du X, Zhou J. Application of biosensors to detection of ep-idemic diseases in animals. Res Vet Sci. 2018; 118: 444-448. doi: 10.1016/j.rvsc.2018.04.011

Zhu C, Yang G, Li H, Du D, Lin Y. Electrochemical sensors and biosensors based on nanomaterials and nanostructures. Anal Chem. 2015; 87(1): 230-249. doi: 10.1021/ac5039863

Alhadrami HA. Biosensors: Classifications, medical applica-tions, and future prospective. Biotechnol Appl Biochem. 2018; 65(3): 497-508. doi: 10.1002/bab.1621

Vidic J, Manzano M, Chang CM, Jaffrezic-Renault N. Ad-vanced biosensors for detection of pathogens related to livestock and poultry. Vet Res. 2017; 48(1): 1-22. doi: 10.1186/s13567-017- 0418-5

Mortari A, Lorenzelli L. Recent sensing technologies for patho-gen detection in milk: A review. Biosens Bioelectron. 2014; 60: 8-21. doi: 10.1016/j.bios.2014.03.063

Länge K. Bulk and surface acoustic wave biosensors for milk analysis. Biosensors (Basel). 2022; 12(8): 602. doi: 10.3390/ bios12080602

Duarte CM, Carneiro C, Cardoso S, Freitas PP, Bexiga R. Semi-quantitative method for Staphylococci magnetic detec-tion in raw milk. J Dairy Res. 2017; 84(1): 80-88. doi: 10.1017/ S0022029916000741

Downloads

Published

2023-12-18

How to Cite

Gelan D. Dahesa, DVM, Taju Nigussie, DVM, MSc, Isayas A. Kebede, DVM, & Abrahim D. Ahmed, DVM, MSc. (2023). Review on Current Diagnostic Methods of Bovine Mastitis. Veterinary  Medicine, 8(2), 63–65. https://doi.org/10.17140/VMOJ-8-178

Issue

Section

Articles

Most read articles by the same author(s)