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Elbayoumy, Mohamed Karam
- Milk Amyloid A as a Biomarker for Diagnosis of Subclinical Mastitis in Cattle
Abstract Views :181 |
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Materials and Methods: A total of 272 quarter milk samples collected from 68 Friesian cows after clinical examination for detection of clinical mastitis were employed in this study. All quarter milk samples (272) were subjected to bacteriological examination, while SCs were assessed in samples (220). Following SCC estimation and bacteriological examination, the apparently normal quarter milk samples were categorized into 7 groups and MAA concentration was estimated in normal and subclinical mastitic milk samples.
Results: Prevalence of clinical mastitis was 19.12 % (52 quarters), while 80.88 % (220 quarters) were clinically healthy with normal milk secretion. Of those 220 clinically healthy quarter milk samples, 72 (32.73%) showed SCM as detected by SCC (SCC≥500,000 cells/ml). The most prevalent bacteria detected in this study were streptococci (48.53%), Staphylococcus aureus (29.41%), Escherichia coli (36.76%), and coagulase-negative staphylococci (11.76%). Results of MAA estimation revealed a strong correlation between MAA secretion level and SCC in agreement with the bacteriological examination. Interestingly, there was a prompt increase in MAA concentration in Group III (G III) (group of milk samples had SCC≤200,000 cells/ml and bacteriologically positive) than Group I (G I) (group of milk samples with SCC≤500,000 cells/ml and bacteriologically negative), as MAA concentration in G III was about 4 times its concentration in G I.
Conclusion: Our study provides a strong evidence for the significance of MAA measurement in milk during SCM, and MAA is more sensitive to IMI than SCC. This can be attributed to rapid and sensitive marker of inflammation. The advantage of MAA over other diagnostic markers of SCM is attributed the minute or even undetectable level of MAA in the milk of healthy animals, it is not influenced by factors other than mastitis, and could be estimated in preserved samples. Therefore, we recommend that estimation of MAA concentration in milk is a more useful diagnostic tool than SCC to detect SCM and to monitor the udder health in dairy cattle.
Authors
Hany Ahmed Hussein
1,
Khaled Abd El-Hamid Abd El-Razik
1,
Alaa Mohamed Gomaa
2,
Mohamed Karam Elbayoumy
3,
Khaled A. Abdelrahman
3,
H. I. Hosein
4
Affiliations
1 Department of Animal Reproduction and AI, Veterinary Division, National Research Centre, Dokki, Giza, EG
2 Department of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, EG
3 Department of Parasitology and Animal Diseases, National Research Centre, Dokki, Giza, EG
4 Department of Veterinary Medicine, Beni-Suef University, Beni Suef, EG
1 Department of Animal Reproduction and AI, Veterinary Division, National Research Centre, Dokki, Giza, EG
2 Department of Mastitis and Neonatal Diseases, Animal Reproduction Research Institute, Agriculture Research Center, Giza, EG
3 Department of Parasitology and Animal Diseases, National Research Centre, Dokki, Giza, EG
4 Department of Veterinary Medicine, Beni-Suef University, Beni Suef, EG
Source
Veterinary World, Vol 11, No 1 (2018), Pagination: 34-41Abstract
Background and Aim: Mastitis is one of the most vital noteworthy monetary risks to dairy ranchers and affects reproductive performance in dairy cattle. However, subclinical mastitis (SCM) negatively affects milk quality and quantity and associated with economic losses as clinical mastitis. It is recognizable only by additional testing. Somatic cell count (SCC) is currently used worldwide for the screening of intramammary infection (IMI) infections. However, somatic cells (SC) are affected by numerous factors and not always correlate with infection of the udder. Therefore, the aim of the present study was to evaluate the milk amyloid A (MAA) in the milk of normal and SCM cows and compare the sensitivity of both MAA secretion and SCC in response to mammary gland bacterial infection.Materials and Methods: A total of 272 quarter milk samples collected from 68 Friesian cows after clinical examination for detection of clinical mastitis were employed in this study. All quarter milk samples (272) were subjected to bacteriological examination, while SCs were assessed in samples (220). Following SCC estimation and bacteriological examination, the apparently normal quarter milk samples were categorized into 7 groups and MAA concentration was estimated in normal and subclinical mastitic milk samples.
Results: Prevalence of clinical mastitis was 19.12 % (52 quarters), while 80.88 % (220 quarters) were clinically healthy with normal milk secretion. Of those 220 clinically healthy quarter milk samples, 72 (32.73%) showed SCM as detected by SCC (SCC≥500,000 cells/ml). The most prevalent bacteria detected in this study were streptococci (48.53%), Staphylococcus aureus (29.41%), Escherichia coli (36.76%), and coagulase-negative staphylococci (11.76%). Results of MAA estimation revealed a strong correlation between MAA secretion level and SCC in agreement with the bacteriological examination. Interestingly, there was a prompt increase in MAA concentration in Group III (G III) (group of milk samples had SCC≤200,000 cells/ml and bacteriologically positive) than Group I (G I) (group of milk samples with SCC≤500,000 cells/ml and bacteriologically negative), as MAA concentration in G III was about 4 times its concentration in G I.
Conclusion: Our study provides a strong evidence for the significance of MAA measurement in milk during SCM, and MAA is more sensitive to IMI than SCC. This can be attributed to rapid and sensitive marker of inflammation. The advantage of MAA over other diagnostic markers of SCM is attributed the minute or even undetectable level of MAA in the milk of healthy animals, it is not influenced by factors other than mastitis, and could be estimated in preserved samples. Therefore, we recommend that estimation of MAA concentration in milk is a more useful diagnostic tool than SCC to detect SCM and to monitor the udder health in dairy cattle.
Keywords
Biomarkers, Milk Amyloid A, Somatic Cell Count, Subclinical Mastitis.Full Text
- Serological Investigation of Some Important RNA Viruses Affecting Sheep and Goats in Giza and Beni-Suef Governorates in Egypt
Abstract Views :134 |
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Materials and Methods: A total of 300 animals (sheep and goats) randomly selected from small stocks with no history of previous vaccination against FMD virus (FMDV), PPR, or BT viruses (BTV) and examined with competitive enzyme-linked immunosorbent assay for detection of FMD-non-structural protein, PPR, and BT antibodies.
Results: Seroprevalence analysis revealed that antibodies against FMDV were 40.8% and 37.1% at Giza governorate, while at Beni-Suef governorate, the percent was 36.7% and 50% in sheep and goat, respectively. Antibodies against PPR were 63.8% in sheep and 45.7% in goats at Giza governorate, whereas the results for Beni-Suef governorate were 71.7% in sheep and 45% in goats. Antibodies against BT were 45% and 37% in sheep and goats, respectively, in Giza governorate, whereas the results for Beni-Suef governorate were 80% and 55% in sheep and goats, respectively. The average of BTV antibody prevalence was significantly higher in sheep (45% and 80%) than in goats (37% and 55%) in Giza and Beni-Suef, respectively. Statistical analysis for the three viruses showed the high relation between the two governorates in case of sheep (r=0.85) and in case of goats (r=0.87). In general, a strong positive correlation was observed between the governorates (r=0.93).
Conclusion: Giza and Beni-Suef governorates are endemic with FMDV, PPR, and BTV. Regional plan for characterization and combating FMD, PPR, and BT is recommended to help in the achievement of the most suitable combination of the vaccine regimen.
Authors
Affiliations
1 Department of Parasitology and Animal Diseases, Division of Veterinary Research, National Research Centre, Dokki-12622, Giza, EG
2 Department of Cell Biology, Division of Genetic Engineering & Biotechnology, National Research Centre, Dokki-12622, Giza, EG
1 Department of Parasitology and Animal Diseases, Division of Veterinary Research, National Research Centre, Dokki-12622, Giza, EG
2 Department of Cell Biology, Division of Genetic Engineering & Biotechnology, National Research Centre, Dokki-12622, Giza, EG
Source
Veterinary World, Vol 10, No 10 (2017), Pagination: 1161-1166Abstract
Aim: The aim of this study was to investigate the seroprevalence of antibodies against foot and mouth disease (FMD), Peste des Petits ruminants (PPR), and bluetongue (BT) in sheep and goats within Giza and Beni-Suef governorates at the second half of 2016.Materials and Methods: A total of 300 animals (sheep and goats) randomly selected from small stocks with no history of previous vaccination against FMD virus (FMDV), PPR, or BT viruses (BTV) and examined with competitive enzyme-linked immunosorbent assay for detection of FMD-non-structural protein, PPR, and BT antibodies.
Results: Seroprevalence analysis revealed that antibodies against FMDV were 40.8% and 37.1% at Giza governorate, while at Beni-Suef governorate, the percent was 36.7% and 50% in sheep and goat, respectively. Antibodies against PPR were 63.8% in sheep and 45.7% in goats at Giza governorate, whereas the results for Beni-Suef governorate were 71.7% in sheep and 45% in goats. Antibodies against BT were 45% and 37% in sheep and goats, respectively, in Giza governorate, whereas the results for Beni-Suef governorate were 80% and 55% in sheep and goats, respectively. The average of BTV antibody prevalence was significantly higher in sheep (45% and 80%) than in goats (37% and 55%) in Giza and Beni-Suef, respectively. Statistical analysis for the three viruses showed the high relation between the two governorates in case of sheep (r=0.85) and in case of goats (r=0.87). In general, a strong positive correlation was observed between the governorates (r=0.93).
Conclusion: Giza and Beni-Suef governorates are endemic with FMDV, PPR, and BTV. Regional plan for characterization and combating FMD, PPR, and BT is recommended to help in the achievement of the most suitable combination of the vaccine regimen.
Keywords
Bluetongue, Enzyme-Linked Immunosorbent Assay, Foot and Mouth Disease, Goats, Peste Des Petits Ruminants, Sheep.Full Text