Evidence map›Paper›PMID 39639190›Full record

ArticleBMC infectious diseases2024

A duplex HiFi-LAMP assay for screening of two novel human circoviruses HCirV-1 and HCirV-2.

Aijuan Xu, Min Zhang, Xin Chen, Zhenzhou Wan, Yongjuan Zhao, Jian-Hua Wang, Chiyu Zhang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

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

7 authors.

Aijuan XuCollege of Life Sciences, Henan Normal University, Xinxiang, 453007, China.
Min ZhangShanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
Xin ChenGannan Medical University, Ganzhou, Jiangxi, 341000, China.
Zhenzhou WanTaizhou Fourth People's Hospital, Taizhou, 225300, China.
Yongjuan ZhaoShanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
Jian-Hua WangPingyuan Laboratory, Xinxiang, Henan, 453007, China. wang_jianhua@gibh.ac.cn.
Chiyu ZhangShanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China. zhangcy1999@shaphc.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circoviruses belong to the family Circoviridae, which is classified into two genera, Circovirus and Cyclovirus. Some circoviruses have been identified in various organisms and/or their fecal samples and might be associated with diseases in their hosts. However, few circoviruses are reported in human. Recently, two novel circoviruses HCirV-1 and HCirV-2 were identified in humans through next-generation sequencing and were defined as the species of Circovirus human in the family Circoviridae. Both viruses are suspected to be associated with liver diseases, particularly among immunosuppressed people, showing potential health implication. Investigation on the prevalence of both viruses, and identification of vulnerable population are important and need a rapid, accurate, and specific assay for detecting and screening the two viruses. In this study, we developed a duplex HiFi-LAMP assay for simultaneous detection of HCirV-1 and HCirV-2. The assay exhibits high sensitivity with LOD of 64 and 49 copies per 25 µL reaction for HCirV-1 and HCirV-2, respectively. The duplex assay was demonstrated to have a rapid reaction time within 35 min. Clinical screening tests showed that neither HCirV-1 nor HCirV-2 were detected among 875 patients with infection of HBV, HIV-1 or other viruses. Large-scale screening of both viruses in diverse populations is encouraged to enhance our understanding of their relevance to various diseases.

Indexed as

Circoviridae InfectionsCircovirusNucleic Acid Amplification TechniquesSensitivity and SpecificityDNA, ViralHumansMolecular Diagnostic TechniquesDNA, ViralHCirV-1HCirV-2HepatitisHiFi-LAMPHuman circovirusImmunocompromised patients

Identifiers

PMID39639190
PMCPMC11619094

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Registered trials

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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.