Evidence map›Paper›PMID 24951166›Full record

ArticleParasitology research2014

Serum aca-mir-146a is a potential biomarker for early diagnosis of Angiostrongylus cantonensis infection.

Xiaoguang Chen, Zheng-Yu Li, Wanchai Maleewong, Pewpan Maleewong, Jinyi Liang, Xin Zeng, Huanqin Zheng, Zhong-Dao Wu, Xi Sun

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Parasite-derived microRNAs as a diagnostic biomarker: potential roles, characteristics, and limitations.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2021
    Review
  5. Review
  6. Expression of Mir-21 and Mir-103a inIranian journal of parasitology
    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

9 authors at 3 institutions in 2 countries.

Xiaoguang ChenKey Laboratory of Tropical Diseases and Control of the Ministry of Education, Guangzhou, People's Republic of China.
Zheng-Yu Li
Wanchai Maleewong
Pewpan Maleewong
Jinyi Liang
Xin Zeng
Huanqin Zheng
Zhong-Dao Wu
Xi Sun
Sun Yat-sen University · CNKhon Kaen University · THMinistry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection with Angiostrongylus cantonensis can cause eosinophilic meningoencephalitis, but it lacks an effective early diagnostic tool for the disease. Recently, growing number of serum microRNAs (miRNAs) were investigated to serve as potentially noninvasive biomarkers for various diseases. However, it is unclear if the molecule can considered a biomarker for diagnosing the infection of A. cantonensis. Here, we attempted to identify potential A. cantonensis-derived miRNAs for the early diagnosis of angiostrongyliasis. Through Solexa deep sequencing and GO "biological process" classifications, we found that there were 18 miRNAs of significantly differential expression in the fourth-stage larvae (L4) larva of A. cantonensis when compared with the third-stage larvae (L3) larva of A. cantonensis. Among the 18 miRNAs, the sequences of 6 miRNAs, including aca-miR-29a, aca-miR-124, aca-miR-125a, aca-miR-146a, aca-miR-101, and aca-miR-185, were different from human- and mouse-derived miRNAs (both are the nonpermissive hosts of A. cantonensis). The expression patterns of the six A. cantonensis-derived miRNAs in serum were investigated by polymerase chain reaction on the A. cantonensis-infected mice and their controls. We found that aca-miR-146a had a significantly higher expression level in every experimental positive group, which suggested that this miRNA might be useful for early diagnosis. Receiver operating characteristic (ROC) curve analysis showed that aca-miR-146a was an effective biomarker for discriminating A. cantonensis-infected mice from healthy control cases, with an area under the ROC curve (AUC) of 0.90. Its diagnostic accuracy was assessed on patients (n = 30) and healthy controls (n = 30), and the sensitivity and specificity reached 83 and 86.7 %, respectively. Our study revealed that aca-mir-146a in serum is an effective biomarker to track infection of A. cantonensis.

Indexed as

Angiostrongylus cantonensisAnimalsBiomarkersGene Expression RegulationHumansMaleMiceMicroRNAsPolymerase Chain ReactionRandom AllocationSensitivity and SpecificityStrongylida InfectionsBiomarkersMicroRNAs

Identifiers

PMID24951166
OpenAlexW2044475012

What OpenQuestion holds

Textmetadata
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.