Evidence map›Paper›PMID 35082891›Full record

ArticleIranian journal of parasitology

Development of a Quantitative Real-Time PCR Assay for Detection of

Mahboubeh Berizi, Jalal Babaie, Pezhman Fard-Esfahani, Marjan Enshaeieh, Rahmah Noordin, Geita Saadatnia, Majid Golkar

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of parasitology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  3. Evolution ofJournal of parasitology research · 2026
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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

7 authors at 3 institutions in 2 countries.

Mahboubeh BeriziDepartment of Parasitology, Molecular Parasitology Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Jalal BabaieDepartment of Parasitology, Molecular Parasitology Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Pezhman Fard-EsfahaniDepartment of Biochemistry, Pasteur Institute of Iran, Tehran, Iran.
Marjan EnshaeiehDepartment of Parasitology, Molecular Parasitology Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Rahmah NoordinInstitute for Research in Molecular Medicine, Universiti Sains Malaysia, Penang, Malaysia.
Geita SaadatniaDepartment of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran.
Majid GolkarDepartment of Parasitology, Molecular Parasitology Laboratory, Pasteur Institute of Iran, Tehran, Iran.
Pasteur Institute of Iran · IRIranian Research Organization for Science and Technology · IRUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToxoplasmosis is a worldwide-distributed infection that can cause serious diseases, mainly in congenitally infected and immunodeficient individuals. PCR assays play an indispensable role in the detection of

methodsThis study was conducted in the Parasitology Department at Pasteur Institute of Iran (Tehran) during 2016-2018. We designed a highly sensitive quantitative real-time PCR (RT-qPCR) targeted REP-529, a noncoding repetitive DNA. We cloned the amplicon in a plasmid (pTZREP-529) and used it to generate the standard curve. The Toxoplasma RT-qPCR characteristics, i.e., detection limit, specificity, linear dynamic range, linearity, intra-, and inter-assay precisions, were determined. The detection limit of the assay was one plasmid copy number (PCN) per reaction (about 0.004

resultsThe assay showed no signal when genomic DNA of

conclusionWe have developed a quantitative, specific, and highly sensitive PCR for detecting

Indexed as

DetectionPolymerase chain reactionToxoplasma gondii

Identifiers

PMID35082891
PMCPMC8710198
OpenAlexW3216174036

What OpenQuestion holds

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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.