Evidence map›Paper›PMID 36192649›Full record

ArticleParasitology research2022

Nested qPCR assay to detect Babesia duncani infection in hamsters and humans.

Yanbo Wang, Shangdi Zhang, Jinming Wang, Muhammad Rashid, Xiaorong Wang, Xinyue Liu, Hong Yin, Guiquan Guan

Abstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. A Set of Rapid Diagnostic Tool for Babesia microti Infection.Journal of clinical laboratory analysis · 2025
    Article
  2. Review
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 at 4 institutions in 2 countries.

Yanbo WangDepartment of Pharmacogenomics Laboratory Center, The Second Hospital of Lanzhou University, Lanzhou, Gansu, 730030, People's Republic of China.
Shangdi ZhangDepartment of Pharmacogenomics Laboratory Center, The Second Hospital of Lanzhou University, Lanzhou, Gansu, 730030, People's Republic of China.
Jinming WangState Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Muhammad RashidDepartment of Parasitology, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Xiaorong WangDepartment of Pharmacogenomics Laboratory Center, The Second Hospital of Lanzhou University, Lanzhou, Gansu, 730030, People's Republic of China.
Xinyue LiuDepartment of Pharmacogenomics Laboratory Center, The Second Hospital of Lanzhou University, Lanzhou, Gansu, 730030, People's Republic of China. liuxy@lzu.edu.cn.
Hong YinState Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Guiquan GuanState Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Science, Xujiaping 1, Lanzhou, Gansu, 730046, People's Republic of China.
Lanzhou University Second Hospital · CNLanzhou Veterinary Research Institute · CNIslamia University of Bahawalpur · PKLanzhou University · CN

Funding

National Key Research and Development Program of China NSFC (№31972701)
6 · The paper itself

Abstract

Human babesiosis is caused by Babesia duncani that is transmitted through tick bites, blood transfusions, and transplacental transmission. Despite its health burden, diagnostic assays for this pathogen are either unsuitable for clinical applications or have a low detection efficiency; therefore, it remains undetected during transfusion and utilization of blood and blood-component transfusions. This study used a molecular approach via nested quantitative polymerase chain reaction (qPCR) by designing primers and probes corresponding to the variable regions of B. duncani 18S rRNA gene to specifically detect B. duncani DNA in experimentally infected LVG Golden Syrian hamster (n = 70) and human (n = 492; tick bite patients from Gansu Province, China) blood samples. Moreover, comparative analyses of this technique with previously reported nested PCR and microscopy were conducted. The newly optimized diagnostic technique exhibited no cross-reactivity with genomic DNA or plasmids containing the 18S rRNA gene of other zoonotically important Babesia spp., including B. microti, B. divergens, B. crassa, and B. motasi Hebei. The detection limit of nested qPCR was approximately one plasmid copy in 20 μL or one infected red blood cell in 200 μL whole blood. The specificity and sensitivity of the method were 100% and 98.6%, respectively. Comparative analyses revealed that nested qPCR detected B. duncani had relatively higher efficacy and specificity than microscopic examination and nested PCR. The 492 human blood samples were negative for B. duncani infection. Thus, the present study provides an improved diagnostic assay for the efficient and effective detection and analysis of B. duncani infections and its prevalence in infection-prone areas.

Indexed as

BabesiaBabesiosisAnimalsCricetinaeDNA PrimersHumansMesocricetusPolymerase Chain ReactionRNA, Ribosomal, 18SDNA PrimersRNA, Ribosomal, 18SBabesia duncaniHuman babesiosisMolecular diagnosisNested qPCRTransfusion-transmitted babesiosis

Identifiers

PMID36192649
OpenAlexW4300772123

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.