Evidence map›Paper›PMID 35611874›Full record

ArticleMicrobial biotechnology2022

AntiV-SGN: a universal antiviral strategy to combat both RNA and DNA viruses by destroying their nucleic acids without sequence limitation.

Kun Tian, Zhen Qi, Ying Chi, Huanran Qiang, Pei Wang, Yu Liu, Guohua Zhou, Fengcai Zhu, Qinglong Guo, Shu Xu

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Kun Tian *School of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Zhen Qi *School of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Ying Chi *NHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
Huanran Qiang *School of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Pei WangSchool of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Yu LiuSchool of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Guohua ZhouDepartment of Pharmacology, Medical School, Jinling Hospital, Nanjing University, Nanjing, 210000, China.
Fengcai ZhuNHC Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
Qinglong GuoSchool of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Shu XuSchool of Basic Medical Science and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.ORCID 0000-0003-4608-8610
China Pharmaceutical University · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing General Hospital of Nanjing Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous viral outbreaks have threatened us throughout history. Here, we demonstrated a nucleic acid-based antiviral strategy named AntiV-SGN. Unlike those CRISPR-mediated methods, AntiV-SGN has advantages of no targets' sequence limitation, such as protospacer adjacent motif (PAM) or protospacer flanking sequence (PFS), being universal for both DNA and RNA viruses. AntiV-SGN was composed of a FEN1 protein and specific hpDNAs targeting viruses' nucleic acid. Its antiviral ability was tested on SARS-CoV-2 and HBV respectively. Reporter assays in human cells first illustrated the feasibility of AntiV-SGN. Then, it was verified that AntiV-SGN destroyed about 50% of live RNAs of SARS-CoV-2 in Vero cells and 90% cccDNA of HBV in HepG2.2.15 cells. It was also able to remove viral DNA integrated into the host's genome. In the mouse model, AntiV-SGN can be used to significantly reduce HBV expression at a level of 90%. Actually, in some cases, when viruses mutate to eliminate PAM/PFS or hosts were infected by both DNA and RNA viruses, AntiV-SGN could be a choice. Collectively, this study provided a proof-of-concept antiviral strategy of AntiV-SGN, which has potential clinical value for targeting a wide variety of human pathogens, both known and newly identified.

Indexed as

COVID-19Nucleic AcidsVirusesAnimalsAntiviral AgentsChlorocebus aethiopsDNA VirusesHumansMiceRNASARS-CoV-2Vero CellsAntiviral AgentsNucleic AcidsRNA

Identifiers

PMID35611874
PMCPMC9437879
OpenAlexW4281476520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.