Evidence map›Paper›PMID 39375775›Full record

ReviewVeterinary research2024

Strategic nucleic acid detection approaches for diagnosing African swine fever (ASF): navigating disease dynamics.

Yuanshou Zhu, Meng Zhang, Zhijun Jie, Shujuan Guo, Zhigang Zhu, Sheng-Ce Tao

Abstract readReview
In one paragraph

Review in Veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

Yuanshou Zhu *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Meng Zhang *Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 200240, China.
Zhijun JieDepartment of Pulmonary and Critical Care Medicine, Shanghai Fifth People's Hospital, Fudan University, Shanghai, 200240, China.
Shujuan GuoShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhigang ZhuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China. zgzhu@usst.edu.cn.
Sheng-Ce TaoShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, 200240, China. taosc@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-9210-1823

Funding

Fourteenth Five-Year National Key Research and Development Program of China 2023YFC2307200Key Public Health Discipline Foundation of Minhang District No. MGWXK2023-01National Natural Science Foundation of China No. 82070024National Natural Science Foundation of China No. 92374110R&D Program of Guangzhou National Laboratory No. GZNL2023A01005Specialized Department Foundation of Traditional Chinese Medicine of 'Fourteenth Five-Year Plan' of Shanghai No. ZYTSZK1-05
6 · The paper itself

Abstract

African swine fever (ASF) is a devastating disease caused by African swine fever virus (ASFV) and leads to significant economic losses in the pig farming industry. Given the absence of an effective vaccine or treatment, the mortality rate of ASF is alarmingly close to 100%. Consequently, the ability to rapidly and accurately detect ASFV on site and promptly identify infected pigs is critical for controlling the spread of this pandemic. The dynamics of the ASF virus load and antibody response necessitate the adoption of various detection strategies at different stages of infection, a topic that has received limited attention to date. This review offers detailed guidance for choosing appropriate ASF diagnostic techniques tailored to the clinical manifestations observed from the acute to chronic phases, including asymptomatic cases. We comprehensively summarize and evaluate the latest advancements in ASFV detection methods, such as CRISPR-based diagnostics, biosensors, and microfluidics. Additionally, we address the challenges of false negatives or positives due to ASF variants or the use of injected live attenuated vaccines. This review provides an exhaustive list of diagnostic tests suitable for detecting each stage of symptoms and potential target genes for developing new detection methods. In conclusion, we highlight the current challenges and future directions in ASFV detection, underscoring the need for continued research and innovation in this field.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsSwineASFASF live attenuated vaccinesASFV variantsCRISPR-based diagnosticdisease dynamics and detection strategies

Identifiers

PMID39375775
PMCPMC11460097

What Socratic 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 Socratic graph.