Evidence map›Paper›PMID 38715092›Full record

ArticleParasites & vectors2024

Identification and coregulation pattern analysis of long noncoding RNAs in the mouse brain after Angiostrongylus cantonensis infection.

Dong-Hui Cheng, Tian-Ge Jiang, Wen-Bo Zeng, Tian-Mei Li, Yi-Dan Jing, Zhong-Qiu Li, Yun-Hai Guo, Yi Zhang

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Dong-Hui ChengNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China.
Tian-Ge JiangSchool of Global Health, National Center for Tropical Disease Research, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Wen-Bo ZengSchool of Life Sciences, Fudan University, Shanghai, People's Republic of China.
Tian-Mei LiDali Prefectural Institute of Research and Control On Schistosomiasis, Yunnan, People's Republic of China.
Yi-Dan JingNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China.
Zhong-Qiu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China.
Yun-Hai GuoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China.
Yi ZhangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China. zhangyi@nipd.chinacdc.cn.

Funding

Ministry of Science and Technology of the People's Republic of China 2021YFC2300800,2021YFC2300802Shanghai Association for Science and Technology 21YF1452200
6 · The paper itself

Abstract

backgroundAngiostrongyliasis is a highly dangerous infectious disease. Angiostrongylus cantonensis larvae migrate to the mouse brain and cause symptoms, such as brain swelling and bleeding. Noncoding RNAs (ncRNAs) are novel targets for the control of parasitic infections. However, the role of these molecules in A. cantonensis infection has not been fully clarified.

methodsIn total, 32 BALB/c mice were randomly divided into four groups, and the infection groups were inoculated with 40 A. cantonensis larvae by gavage. Hematoxylin and eosin (H&E) staining and RNA library construction were performed on brain tissues from infected mice. Differential expression of long noncoding RNAs (lncRNAs) and mRNAs in brain tissues was identified by high-throughput sequencing. The pathways and functions of the differentially expressed lncRNAs were determined by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. The functions of the differentially expressed lncRNAs were further characterized by lncRNA‒microRNA (miRNA) target interactions. The potential host lncRNAs involved in larval infection of the brain were validated by quantitative real-time polymerase chain reaction (qRT‒PCR).

resultsThe pathological results showed that the degree of brain tissue damage increased with the duration of infection. The transcriptome results showed that 859 lncRNAs and 1895 mRNAs were differentially expressed compared with those in the control group, and several lncRNAs were highly expressed in the middle-late stages of mouse infection. GO and KEGG pathway analyses revealed that the differentially expressed target genes were enriched mainly in immune system processes and inflammatory response, among others, and several potential regulatory networks were constructed.

conclusionsThis study revealed the expression profiles of lncRNAs in the brains of mice after infection with A. cantonensis. The lncRNAs H19, F630028O10Rik, Lockd, AI662270, AU020206, and Mexis were shown to play important roles in the infection of mice with A. cantonensis infection.

Indexed as

Angiostrongylus cantonensisBrainMice, Inbred BALB CRNA, Long NoncodingStrongylida InfectionsAnimalsFemaleGene Expression ProfilingLarvaMiceMicroRNAsRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, MessengerAngiostrongyliasisAngiostrongylus cantonensisLong noncoding RNAParasitic diseaseRNA-Seq

Identifiers

PMID38715092
PMCPMC11077716

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.