| Literature DB >> 28993171 |
Samy Kasem1, Ibraheem Qasim2, Ali Al-Hufofi3, Osman Hashim2, Ali Alkarar2, Ali Abu-Obeida2, Albagir Gaafer2, Abdelhamid Elfadil2, Ahmed Zaki3, Ahmed Al-Romaihi3, Nasereldeen Babekr2, Nadr El-Harby2, Raed Hussien2, Ali Al-Sahaf2, Ali Al-Doweriej2, Faisal Bayoumi2, Leo L M Poon4, Daniel K W Chu4, Malik Peiris4, Ranawaka A P M Perera4.
Abstract
BACKGROUND: Middle East respiratory syndrome coronavirus (MERS-CoV) is a newly emerged coronavirus that is associated with a severe respiratory disease in humans in the Middle East. The epidemiological profiles of the MERS-CoV infections suggest zoonotic transmission from an animal reservoir to humans.Entities:
Keywords: Dromedary camel; ELISA; MERS; Real time-PCR; Saudi Arabia
Mesh:
Substances:
Year: 2017 PMID: 28993171 PMCID: PMC7102853 DOI: 10.1016/j.jiph.2017.09.022
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Fig. 1Distribution of confirmed human cases of MERS with a history of contact with animals in different regions of Saudi Arabia, notifications issued by the Ministry of Health (MOH).
The prevalence of MERS-CoV RNA in animals linked to human cases in different regions, sex and ages in Saudi Arabia.
| No of tested animals | No of positive animals | Percentage of positivity | P-value | ||
|---|---|---|---|---|---|
| Regions | |||||
| El-Dowadmi | 14 | 2 | 14.2% | 132.826 | 0.000 |
| Shagraa | 10 | 0 | 0% | ||
| Riyadh | 87 | 6 | 6.89% | ||
| Alkharj | 37 | 4 | 10.8% | ||
| EL-Qassim | 15 | 1 | 6.6% | ||
| Shargia | 60 | 16 | 26.6% | ||
| Northern Boundaries | 30 | 0 | 0% | ||
| Najran | 66 | 1 | 1.5% | ||
| Ihsaa | 120 | 5 | 4.16% | ||
| Jouf | 18 | 0 | 0% | ||
| Al-Madina | 25 | 14 | 56% | ||
| Hail | 22 | 0 | 0% | ||
| Bahaa | 2 | 0 | 0% | ||
| Gazan | 30 | 0 | 0% | ||
| Makkah | 55 | 11 | 20% | ||
| Asir | 43 | 3 | 6.9% | ||
| Taif | 97 | 10 | 10.3% | ||
| Zulfi | 2 | 0 | 0% | ||
| Aflaj | 20 | 2 | 10% | ||
| Majmaa | 10 | 0 | 0% | ||
| Tabuk | 14 | 0 | 0% | ||
| Wadi El-Dwasir | 3 | 0 | 0% | ||
| Sex | |||||
| Male | 245 | 49 | 20% | 44.32 | 0.000 |
| Female | 535 | 26 | 4.9% | ||
| Age | |||||
| 0–2 years | 298 | 46 | 15.4% | 19.688 | 0.000 |
| 2.1–4 years | 202 | 13 | 6.4% | ||
| 4.1–6 years | 144 | 6 | 4.2% | ||
| More than 6 years | 136 | 10 | 7.4% | ||
| Tested animals | |||||
| Dromedary Camel | 595 | 75 | 12.6% | 25.801 | 0.000 |
| Sheep | 93 | 0 | 0% | ||
| Goat | 90 | 0 | 0% | ||
| Cattle | 2 | 0 | 0% | ||
NSNon significant difference at (P > 0.05).
*Significant difference at (P ≤ 0.05).
Highly significant difference at (P ≤ 0.01).
Fig. 2Distribution of animals examined for MERS-CoV RNA, linked to MERS-human cases in different regions of Saudi Arabia. Total number of animals examined by real-time PCR for MERS-CoV RNA in each region (red square), number of positive animals in each region (blue square).
Fig. 3Distribution of animals examined for MERS-CoV specific IgG antibodies, linked to MERS-human cases in different regions of Saudi Arabia. Total number of animals examined by Anti-MERS ELISA for MERS-CoV IgG in each region (red square) and the number of positive animals in each region (blue square).
The prevalence of MERS-CoV antibodies in dromedary camel linked to human cases in different regions, sex and ages in Saudi Arabia.
| No of tested animals | No of positive animals | Percentage of positivity | χ2 test | P-value | |
|---|---|---|---|---|---|
| Regions | |||||
| El-Dowadmi | 4 | 2 | 50% | 1.725 | 0.164NS |
| Shagraa | 10 | 10 | 100% | ||
| Riyadh | 82 | 65 | 79.2% | ||
| Alkharj | 27 | 10 | 37% | ||
| EL-Qassim | 15 | 13 | 86.6% | ||
| Shargia | 60 | 41 | 68.6% | ||
| Northern Boundaries | 18 | 7 | 38.8% | ||
| Najran | 15 | 14 | 93.3% | ||
| Ihsaa | 91 | 71 | 78% | ||
| Jouf | 11 | 10 | 90.9% | ||
| Al-Madina | 17 | 8 | 47.5% | ||
| Hail | 21 | 20 | 95.2% | ||
| Bahaa | 2 | 2 | 100% | ||
| Gazan | 10 | 6 | 60% | ||
| Makkah | 40 | 19 | 47.5% | ||
| Asir | 43 | 26 | 60.4% | ||
| Taif | 90 | 67 | 74.4% | ||
| Zulfi | 2 | 2 | 100% | ||
| Aflaj | 20 | 18 | 72% | ||
| Tabuk | 14 | 8 | 57.1% | ||
| Wadi El-Dwasir | 3 | 3 | 100% | ||
| Sex | |||||
| Male | 152 | 127 | 83.5% | 10.021 | 0.007 |
| Female | 443 | 295 | 66.5% | ||
| Age | |||||
| 0–2 years | 251 | 145 | 57.7% | 14.244 | 0.003 |
| 2.1–4 years | 156 | 120 | 76.9% | ||
| 4.1–6 years | 98 | 79 | 80.6% | ||
| More than 6 years | 90 | 78 | 86.6% | ||
| Tested animals | |||||
| Dromedary Camel | 595 | 422 | 70.9% | ||
NSNon significant difference at (P > 0.05).
*Significant difference at (P ≤ 0.05).
Highly significant difference at (P ≤ 0.01).
Evaluation of Anti-MERS ELISA kit with peudoparticle virus neutralization test.
| Pesudoparticle virus neutralization test | |||
|---|---|---|---|
| +ve samples | −ve samples | Total samples | |
| Anti-MERS ELISA | |||
| +ve samples | 70 | 0 | 70 |
| −ve samples | 3 | 27 | 30 |
| Total samples | 73 | 27 | 100 |
| Sensitivity% | 95.98% | ||
| Specificity% | 100% | ||
Fig. 4Phylogenetic analysis of MERS-CoV found in ten RT-PCR-positive camels, using MEGA7. Full genome sequences of the ten MERS-CoV camel samples and the sequences from corresponding patients were aligned with sequences of MERS-CoV reference strains available from GenBank. Phylogenetic analysis was inferred using the neighbor-joining method and distance calculations were computed using the Tamura-Nei model. Sequences from the current study are indicated by a solid square.