ResearchersLinks

Short Communication · Volume 55, Issue 1, 14 November 2022 · Open Access

Sero-prevalance of Bovine Herpesvirus-1 and Its Associated Risk Factors in District Sheikhupura, Punjab Province

· · ·

Affiliations & Notes ⌄
  1. 1Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore 2Department of Veterinary Medicine, University of Veterinary and Animal Sciences, Lahore * Corresponding author: sohail.raza@uvas.edu.pk
Article Info ⌄
Journal:
Pakistan Journal of Zoology
Published:
14 November 2022

From the article

  • The study revealed overall 68.5% (171/250) sero-positivity of BoHV-1 antibodies in district Sheikhupura.
  • Our results indicate that sero-prevalence of buffalo is more than cattle 73.12% and 60%, respectively reflecting specie of animal a potent risk factor of BoHV-1 infection.
  • After evaluating data, in this study herd size is revealed as a significant risk factor along with age of animal.
  • Animals kept in extensive or confined management have been 66.66 % and 69.59% sero-prevalence, respectively.

Selected from the article's own text.

Abstract

Bovine herpesvirus-1 (BoHV-1) is globally circulated bovine virus of genital and respiratory importance. The present study was planned to investigate the sero-prevalance of BoHV-1 and its associated risk factors in District Sheikhupura, Punjab, Pakistan. The sample size was calculated using Raosoft sample size calculator. A total of 250 animals were sampled from herds of different sizes for sampling through convenient sampling technique. A questionnaire having variables related to animal species, age, herd size, parity, breeding method and housing management was filled at sample collection time. The serum samples were processed by indirect ELISA to detect antibodies against BoHV-1. The overall sero-prevalence was 68.40%. Post pubertal animals (>3yrs) contributing more to disease occurrence. High sero-positivity was observed in buffalo (73.12%) as compared to cattle (60%) moreover, the sero-prevalence is higher in animals of greater size herds. Parity status is in agreement of strong correlation with BoHV-1 infection. Evidently, positivity rate was higher in animals bred with artificial insemination as compare to natural breeding method.

Materials and methods

This study was planned on large ruminants of district Sheikhupura. It is 16th largest city of Pakistan by population, located in northwest of Lahore. It is track down on world map with latitude 31, 42’59.9796”N and longitude 73, 59’6.0828’E with variation in climate and average rainfall is approx. 635mm.

A total of 250 (number calculation using Raosoft sample size calculator 160 buffalos and 90 from cattle population) samples were collected randomly from different tehsils of study area in a way to reach maximum UCs of district to depict best picture of sero-prevalence. Brief data was collected on questionnaire during sample collection. Serum was separated from the collected blood samples and stored at -20°C for further processing and analysis. The serum samples were tested by indirect ELISA kit - ID Screen® IBR gE competition ELISA (ID.Vet, Grables, France) following manufactures instructions.

Descriptive statistics was used to analyze results and to find potential risk factors against BoHV-1 antibodies in herd. Chi-square test was performed with help of SPSS (version 22) and statistically p-value (< 0.05) was considered significant.

Results

The study revealed overall 68.5% (171/250) sero-positivity of BoHV-1 antibodies in district Sheikhupura. The analysis of contributing risk factors based on chi-square test helped to find the potential risk factors in herds of Sheikhupura district associated to sero-positivity based on prevalence rate and p-value (<0.05).

In host range, BoHV-1 antibodies were detected more in buffalo (73.125%) population in comparison to cattle (60%). History of animal having abortion was found to be a key risk factor in sero-prevalance of BoHV-1 with 88.27%. As far as age are concerned, cluster with >3 years age of animals having more sero-prevalence than a cluster with < 3yrs age of animals, 71.78% and 54.16%, respectively. In respect of parity status as animals in 0-2, 3-4, 5-6 lactation indicating 52.45%, 72.84% and 76.31% sero-prevalence, respectively with p-value <0.05. The animals which were reared in greater herd size having 50 animals are at 81.81% more risk of having BoVH-1 antibodies followed by 64.06% and 62.5% by 20-50 animals and <20 animals respectively. Similarly, the owners which were using Artificial insemination services for breeding purpose to animals were at more threat 78.22% followed by 58.73% by natural/bull services. Rearing or housing pattern of animals was found a non-significant factor in rise of BoVH-1 antibodies titer in herd animals showing 66.66% and 69.59% sero-positivity in extensive and confined system, respectively (Table I).

Based on Univariate analysis, the potential risk factors were examined through odd ratio (OR>1). Bovine specie was found to be a non-significant risk factor (OR=0.55) (CI=0.31-0.95) for BoHV-1 sero-epidemiology. The Age although significantly associated on Chi-Square basis (P<0.05) was not a potential risk factor upon univariate analysis OR=0.46(CI=0.24-0.88). Animal history proved to be a potential risk factor OR=10.86 (5.73-20.55) showing effects on disease dynamics. Another factor associated with BoHV-1 was herd size OR=2.52 (CI 1.22-5.19). Parity was also found positively associated with sero-prevalence of BoHV-1based on odd ratio OR=1.2 (CI=0.52-2.75) (Table I).

Table I. Prevalence of BoHV-1 in cattle and buffalo, and associated risk factors in district Sheikhupura.

Variables

n

Positive (%)

p value

Odd ratio

Confidence interval (95%)

lower limit upper limit

Cattle

90

54 (60)

0.032

0.55

0.31-0.95

Buffalo

160

117 (73)

Age

< 3 years

48

26 (54)

0.018

0.46

0.24-0.88

> 3 years

202

145 (72)

Herd size

< 20

56

35 (62.5)

0.018

0.935

2.52

0.48-1.79

1.22-5.1

21-50

128

82 (64)

> 50

66

54 (81.8)

Breeding method

Natural

126

74 (58.7)

0.001

0.39

0.22-0.68

AI

124

97 (78.22)

Management system

Extensive

02

68 (66.6)

0.625

0.87

0.50-1.5

Confined

148

103 (69.5)

History of animals

Abortion

145

128 (88.2)

0.000

10.86

5.73-20.55

Abortion + respiratory

105

43 (42.1)

Parity of animals

0-2

61

32(52.4)

0.008

0.41

1.20

0.22-0.76

0.52-2.75

3-4

151

110(72.8)

5-6

38

29(76.3)

Discussion

This study was designed for 250 samples of cattle and buffalo from densely populated areas of Sheikhupura district which is a first study on BoHV-1 and its associated risk factors in this district. Competitive ELISA was used to detect antibodies of BoHV-1.

Serological results depict, in 171 samples of dairy animals antibodies were circulating to show 68.5% sero-positivity in targeted area. Results of this study are in close to prevalence noted previously in Lahore district (69.8%) . Our findings are also in accordance of results of another study conducted in India with 68.9% and 64.5% observed in various northern regions of Mexico .

Our results indicate that sero-prevalence of buffalo is more than cattle 73.12% and 60%, respectively reflecting specie of animal a potent risk factor of BoHV-1 infection. Inflated BoHV-1 antibodies titer in countries with marked buffalo population and cattle are also be raised. Sero-survey have shown BoHV-1 infection have maintenance of 70.3% prevalence in buffalo . Proportion of buffalo sero-positivity in Italy was reported higher than cattle .

Data analysis of age as a risk factor unraveled high rise in prevalence of animals with more than 3 years of age (71.78%) in comparison to animals of age less than 3 years (54.16%). The earlier studies conducted in Sudan reveals that cattle of Sudan with age above 3 years were more susceptible . Other studies are also representing a rise in BoHV-1 infection with increasing age of animal .

After evaluating data, in this study herd size is revealed as a significant risk factor along with age of animal. Similarly, a significant association was shown of herd size and BoHV-1 infection in statistical analysis . Another study was conducted in Lithuania revealed a relation of herd size with BoHV-1 infection . In this study, animals bred with artificial insemination have been shown a rise in sero-positivity of BoHV-1 rather to animals bred with service bull 78.73% and 58.73% respectively. Insemination of contaminated semen through AI tends to intermittent estrus, fall in conception rate and endometritis with BoHV-1 .

Animals kept in intensive housing system were at greater risk of disease than non-tethered herds. Previous study showed that housing management had a direct proportion with virus prevalence . Our study has recorded a poor correlation of housing management with BoHV-1 infection. Animals kept in extensive or confined management have been 66.66 % and 69.59% sero-prevalence, respectively.

Data examination illustrated high sero-prevalence in multi-parous animals in comparison to nulliparous animals. A study in India showed that IBR antibodies titer surged as parity of animal increased. Scientists investigated IBR antibodies up to 4th lactation and found that highest antibody titer was noted in animals with 4th lactation . Cows with parturition history of 6 or more had highest sero-positivity 82.4% .

Statement of conflict of interest

The authors have declared no conflict of interest.

References

  1. Chandranaik, B., Rathnamma, D., Patil, S., Ranganatha, S., Kovi, R.C., Akhila, D., Shrikrishna, I., Renukaprasad, C., and Prabhudas, K., 2014. Indian J. Anim. Sci., 84: 103-107.
  2. Derrar, S., Aggad, H., Hammoudi, A., Saim, M.S., Ayad, M.A., Benzineb, F.Z., Abdali, M., and Abdelli, A., 2019. Seroprevalence and risk factors associated with bovine herpesvirus-1 infection in the region of Tiaret, Algeria.
  3. Dias, J., Alfieri, A., Ferreira-Neto, J., Gonçalves, V., and Muller, E., 2013. Transbound. Emerg. Dis., 60: 39-47. https://doi.org/10.1111/j.1865-1682.2012.01316.x[CrossRef]
  4. Elhassan, A.M., Fadol, M., and El-Hussein, A., 2011. Pak. Vet. J., 31: 317-320.
  5. Erfani, A.M., Bakhshesh, M., Fallah, M.H., and Hashemi, M., 2019. Trop. Anim. Hlth. Prod., 51: 313-319. https://doi.org/10.1007/s11250-018-1687-3[CrossRef]
  6. Givens, M.D., and Marley, M., 2008. Theriogenology, 70: 270-285. https://doi.org/10.1016/j.theriogenology.2008.04.018[CrossRef]
  7. Hammad-Ur-Rehman, M.R., Aamir, G., Amjad, R., Farhat, N.A., and Sohail, R., 2021. Pak. Vet. J., 41:163 - 165. https://doi.org/10.29261/pakvetj/2020.092[CrossRef]
  8. Jacevičius, E., Šalomskas, A., Milius, J., Petkevičius, S., Jacevičienė, I., Pridotkas, G., Mockeliūnas, R., Malakauskas, A., and Morkūnas, M., 2010. Bull. Vet. Inst. Pulawy, 54: 289-292.
  9. Kathiriya, J., Sindhi, S., Mathapati, B. and Bhedi, K., 2018. Int. J. Curr. Microbiol. appl. Sci., 7: 1371-1376. https://doi.org/10.20546/ijcmas.2018.703.164[CrossRef]
  10. Nandi, S., Kumar, M., Manohar, M. and Chauhan, R., 2009. Anim. Hlth. Res. Rev., 10: 85. https://doi.org/10.1017/S1466252309990028[CrossRef]
  11. Nandi, S., Kumar, M., Yadav, V. and Chander, V., 2011. Transbound. Emerg. Dis., 58: 105-109. https://doi.org/10.1111/j.1865-1682.2010.01185.x[CrossRef]
  12. Queiroz-Castro, V.L.D., da Costa, E.P., Alves, S.V.P., Machado-Neves, M., Guimarães, J.D., Gomes, L.L., Domingos, S.V., Ribeiro, C.G., Caldas, R.T. and Silva-Júnior, A., 2019. PLoS One, 14: e0218963. https://doi.org/10.1371/journal.pone.0218963[CrossRef]
  13. Rehman, A., Jingdong, L., Chandio, A.A., and Hussain, I., 2017. Inf. Proc. Agric., 4: 168-177. https://doi.org/10.1016/j.inpa.2017.03.002[CrossRef]
  14. Romero-Salas, D., Cruz-Romero, A., Aguilar-Domínguez, M., Ibarra-Priego, N., Barradas-Piña, F., Nogueira-Domingues, L., Castro-Arellano, I., Lohmeyer, K., and Pérez de León, A., 2018. Trop. Biomed., 35: 541-552.
  15. Scicluna, M., Saralli, G., Bruni, G., Sala, M., Cocumelli, C., Caciolo, D., Condoleo, R. and Autorino, G., 2007. Ital. J. Anim. Sci., 6: 845-849. https://doi.org/10.4081/ijas.2007.s2.845[CrossRef]
  16. Shabbir, M.Z., Khalid, R.K., Freitas, D.M., Javed, M.T., Rabbani, M., Yaqub, T., Ahmad, A., Shabbir, M.A.B., and Abbas, M., 2013. Pak. Vet. J., 33: 19-22.

Services

Article usage statistics

Loading…

Sero-prevalance of Bovine Herpesvirus-1 and Its Associated Risk Factors in District Sheikhupura, Punjab Province · ResearchersLinks