Evidence map›Paper›PMID 31500720›Full record

ArticleVeterinary microbiology2019

Molecular detection and characterisation of feline morbillivirus in domestic cats in Malaysia.

Nur Hidayah Mohd Isa, Gayathri Thevi Selvarajah, Kuan Hua Khor, Sheau Wei Tan, Hemadevy Manoraj, Nurul Husna Omar, Abdul Rahman Omar, Farina Mustaffa-Kamal

Open access · greenAbstract read
In one paragraph

Article in Veterinary microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. FeMV is a cathepsin-dependent unique morbillivirus infecting the kidneys of domestic cats.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. Article
  6. Article
  7. Molecular characterization of Feline paramyxovirus and Feline morbillivirus in cats from Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
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  14. Review
  15. 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

8 authors at 1 institution in 1 country.

Nur Hidayah Mohd IsaFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Gayathri Thevi SelvarajahFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Kuan Hua KhorFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Sheau Wei TanInstitute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Hemadevy ManorajFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Nurul Husna OmarFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Abdul Rahman OmarFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia; Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Farina Mustaffa-KamalFaculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. Electronic address: farina@upm.edu.my.
Universiti Putra Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feline morbillivirus (FeMV), a novel virus from the family of Paramyxoviridae, was first identified in stray cat populations. The objectives of the current study were to (i) determine the molecular prevalence of FeMV in Malaysia; (ii) identify risk factors associated with FeMV infection; and (iii) characterise any FeMV isolates by phylogenetic analyses. Molecular analysis utilising nested RT-PCR assay targeting the L gene of FeMV performed on either urine, blood and/or kidney samples collected from 208 cats in this study revealed 82 (39.4%) positive cats. FeMV-positive samples were obtained from 63/124 (50.8%) urine and 20/25 (80.0%) kidneys while all blood samples were negative for FeMV. In addition, from the 35 cats that had more than one type of samples collected (blood and urine; blood and kidney; blood, urine and kidney), only one cat had FeMV RNA in the urine and kidney samples. Risk factors such as gender, presence of kidney-associated symptoms and cat source were also investigated. Male cats had a higher risk (p = 0.031) of FeMV infection than females. In addition, no significant association (p = 0.083) was observed between the presence of kidney-associated symptoms with FeMV status. From the 82 positive samples, FeMV RNA was detected from 48/82 (58.5%) pet cats and 34/126 (27.0%) shelter cats (p < 0.0001). Partial L and N gene sequencing of the RT-PCR-positive samples showed 85-99% identity to the published FeMV sequences and it was significantly different from all other morbilliviruses. A phylogenetic analysis of the identified Malaysian FeMVs was performed with isolates from Japan, Thailand and China. Molecular characterisation revealed high relatedness of the Malaysian isolates with other Asian FeMVs, indicating that the virus had been circulating only within the region. Therefore, this study confirmed the existence of FeMV among domestic cats in Malaysia. The findings suggest further characterisation of the local isolates, including the whole genome sequencing and that studies at determining the direct consequences of FeMV infection in domestic cats are needed.

Indexed as

AnimalsCat DiseasesCatsFemaleKidney DiseasesMalaysiaMaleMorbillivirusMorbillivirus InfectionsPhylogenyDomestic catsFeline morbillivirus (FeMV)L geneMalaysiaMolecular characterisationN gene

Identifiers

PMID31500720
PMCPMC7117105
OpenAlexW2967540173

What OpenQuestion holds

Textmetadata
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.