Evidence map›Paper›PMID 34832634›Full record

ArticlePathogens (Basel, Switzerland)2021

Characteristics and Pathogenicity of the Cell-Adapted Attenuated Porcine Epidemic Diarrhea Virus of the Non-S INDEL Cluster.

Thi Thu Hang Vu, Minjoo Yeom, Hyoungjoon Moon, Thi Nhan Tran, Van Phan Le, Daesub Song

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 2 countries.

Thi Thu Hang VuCollege of Pharmacy, Korea University, Sejong 30019, Korea.
Minjoo YeomCollege of Pharmacy, Korea University, Sejong 30019, Korea.ORCID 0000-0001-8949-6361
Hyoungjoon MoonCollege of Healthcare & Biotechnology, Semyung University, Jecheon 27136, Korea.
Thi Nhan TranR&D laboratory, AVAC Vietnam Company Limited, Hung Yen 163530, Vietnam.
Van Phan LeCollege of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi 131001, Vietnam.
Daesub SongCollege of Pharmacy, Korea University, Sejong 30019, Korea.
Korea University · KRGreen Cross (South Korea) · KRVietnam National University of Agriculture · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high antigenic diversity of porcine epidemic diarrhea virus (PEDV) means that porcine epidemic diarrhea (PED) is a challenge for the global pig industry. Understanding the circulation of the virus to determine an optimal vaccine strategy is important in controlling the disease. In this study, we describe the genetic diversity of circulating PEDV based on the full sequences of spike genes of eight positive samples collected in Vietnam since 2018. Additionally, we developed a live attenuated vaccine candidate from the cell-adapted PEDV2 strain, which was continuously passaged until level 103 in VERO-CCL81 cells. PEDV2-p103, which belongs to the emerging non-S INDEL cluster, exhibited low virus shedding, did not induce lesions in the small intestine of challenged piglets, and had a high titer in the VERO-CCL81 cell at 48 h post-infection. These results suggest that the PEDV2-p103 strain could be a potential oral attenuated vaccine, and its immunogenicity and efficacy should be further assessed through in vivo tests.

Indexed as

attenuated vaccinegenetic variationsLLC-MK2pathogenicityporcine epidemic diarrhea

Identifiers

PMID34832634
PMCPMC8618312
OpenAlexW3212264243

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.