Evidence map›Paper›PMID 30200958›Full record

ArticleBMC veterinary research2018

Neutralizing antibodies against Simbu serogroup viruses in cattle and sheep, Nigeria, 2012-2014.

Daniel Oluwayelu, Kerstin Wernike, Adebowale Adebiyi, Simeon Cadmus, Martin Beer

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Examining bull semen for residues of Schmallenberg virus RNA.Transboundary and emerging diseases · 2022
    Article
  7. Article
  8. Proactive preparedness for Cat Que virus: AnThe Indian journal of medical research · 2020
    Article
  9. Article
  10. Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Daniel OluwayeluDepartment of Veterinary Microbiology, University of Ibadan, Ibadan, Oyo State, Nigeria.
Kerstin WernikeInstitute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, 17493, Greifswald - Insel Riems, Germany. kerstin.wernike@fli.de.ORCID http://orcid.org/0000-0001-8071-0827
Adebowale AdebiyiDepartment of Veterinary Microbiology, University of Ibadan, Ibadan, Oyo State, Nigeria.
Simeon CadmusDepartment of Veterinary Public Health and Preventive Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.
Martin BeerInstitute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, 17493, Greifswald - Insel Riems, Germany.
University of Ibadan · NGFriedrich-Loeffler-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimbu serogroup viruses of the Orthobunyavirus genus (Family Peribunyaviridae) include teratogenic pathogens that cause severe economic losses, abortions, stillbirths and congenital abnormalities in ruminants worldwide. Although they were initially isolated from ruminants and Culicoides biting midges about five decades ago in Nigeria, there is no current information on their prevalence and geographical distribution despite reports of abortions and congenital malformations in the country's ruminant population. Here, apparently healthy cattle and sheep obtained from eight states in the three major vegetation zones of Nigeria were screened for the presence of specific neutralizing antibodies against Schmallenberg virus (SBV), Simbu virus (SIMV) and Shamonda virus (SHAV).

resultsUsing a cross-sectional design, 490 cattle and 165 sheep sera were collected between 2012 and 2014 and tested by a commercial SBV ELISA kit which enables the detection of antibodies against various Simbu serogroup viruses. The seropositivity rates for cattle and sheep were 91.2% and 65.4%, respectively. In cattle, there was no association between ELISA seropositivity and vegetation zone. However, the prevalence of anti-Simbu serogroup antibodies was significantly higher in Ebonyi State compared to other states in the rainforest vegetation zone. The seroprevalence was significantly higher in sheep obtained from live animal markets compared to farms (OR = 5.8). Testing of 20 selected ELISA-positive sera by serum neutralisation test showed that all were positive for one or more of SBV, SIMV and SHAV with the highest titres obtained for SHAV. Antibodies to SBV or a closely related virus were detected in the Sudan savannah and rainforest zones, anti-SIMV antibodies were detected only in the rainforest zone, while anti-SHAV antibodies were found in the three vegetation zones.

conclusionThe findings of this study reveal that following the early isolation of Simbu serogroup viruses in Nigeria in the 1960s, members of this virus group are still circulating in the country. Specifically, SBV, SIMV and SHAV or closely related viruses infect cattle and sheep across the three vegetation zones of Nigeria suggesting that insect vector activity is extensive in the country. The exact vegetation zone where the animals became exposed to the viruses could, however, not be determined in this study.

Indexed as

Antibodies, NeutralizingAnimalsAntibodies, ViralBunyaviridae InfectionsCattleCattle DiseasesCross-Sectional StudiesNigeriaOrthobunyavirusSeroepidemiologic StudiesSheepSheep DiseasesAntibodies, NeutralizingAntibodies, ViralCattleELISANeutralizing antibodiesSchmallenberg virusShamonda virusSheepSimbu virus

Identifiers

PMID30200958
PMCPMC6131948
OpenAlexW2890051183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.