Evidence map›Paper›PMID 33148310›Full record

ArticleParasites & vectors2020

Molecular detection of Dirofilaria spp. and host blood-meal identification in the Simulium turgaicum complex (Diptera: Simuliidae) in the Aras River Basin, northwestern Iran.

Fariba Khanzadeh, Samad Khaghaninia, Naseh Maleki-Ravasan, Mona Koosha, Mohammad Ali Oshaghi

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Geographical Distribution and Molecular Characterization ofAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Article
  4. New Insights into the Phylogeographic History ofAnimals : an open access journal from MDPI · 2025
    Article
  5. Human ocular dirofilariasis in Poland.Journal of ophthalmic inflammation and infection · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 3 institutions in 1 country.

Fariba KhanzadehDepartment of Plant Protection, Faculty of Agriculture, University of Tabriz, Tehran, Iran.
Samad KhaghaniniaDepartment of Plant Protection, Faculty of Agriculture, University of Tabriz, Tehran, Iran.
Naseh Maleki-RavasanDepartment of Parasitology, Pasteur Institute of Iran, Tehran, Iran. naseh_maleki@yahoo.com.
Mona KooshaDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Mohammad Ali OshaghiDepartment of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran. moshaghi@tums.ac.ir.
Tehran University of Medical Sciences · IRUniversity of Tabriz · IRPasteur Institute of Iran · IR

Funding

Tehran University of Medical Sciences and Health Services 39440
6 · The paper itself

Abstract

backgroundBlackflies (Diptera: Simuliidae) are known as effective vectors of human and animal pathogens, worldwide. We have already indicated that some individuals in the Simulium turgaicum complex are annoying pests of humans and livestock in the Aras River Basin, Iran. However, there is no evidence of host preference and their possible vectorial role in the region. This study was conducted to capture the S. turgaicum (s.l.), to identify their host blood-meals, and to examine their potential involvement in the circulation of zoonotic microfilariae in the study areas.

methodsAdult blackflies of the S. turgaicum complex were bimonthly trapped with insect net in four ecotopes (humans/animals outdoors, irrigation canals, lands along the river, as well as rice and alfalfa farms) of ten villages (Gholibaiglou, Gungormaz, Hamrahlou, Hasanlou, Khetay, Khomarlou, Larijan, Mohammad Salehlou, Parvizkhanlou and Qarloujeh) of the Aras River Basin. A highly sensitive and specific nested PCR assay was used for detection of filarial nematodes in S. turgaicum (s.l.), using nuclear 18S rDNA-ITS1 markers. The sources of blood meals of engorged specimens were determined using multiplex and conventional cytb PCR assays.

resultsA total of 2754 females of S. turgaicum (s.l.) were collected. The DNA of filarial parasites was detected in 6 (0.62%) of 960 randomly examined individuals. Sequence analysis of 420 base pairs of 18S rDNA-ITS1 genes identified Dirofilaria spp. including 5 D. immitis and 1 D. repens. Importantly, all filarial positive specimens have been captured from humans and animals outdoors. Cytb-PCR assays showed that in all ecotypes studied, members of the S. turgaicum complex had preferably fed on humans, dogs, bovids, and birds, respectively.

conclusionsTo the best of our knowledge, this is the first report of D. immitis/D. repens detection in blackflies. Results showed that S. turgaicum (s.l.) was the most abundant (97%) and anthropophilic (45%) blackfly in all studied ecotypes/villages and that DNA of Dirofilaria spp. was detected in the flies taken from six villages. Dirofilariasis is a common zoonosis between humans and carnivores, with mosquitoes (Culicidae) as the principal vectors. Further investigations are needed to demonstrate that blackflies are actual vectors of Dirofilaria in the studied region.

Indexed as

AnimalsDirofilariaDirofilariasisDisease VectorsFemaleHumansInsect VectorsIranLivestockMaleMicrofilariaePolymerase Chain ReactionSimuliidaeZoonosesBlood mealDirofilaria immitisD. repensSimulium turgaicum complexVector incrimination

Identifiers

PMID33148310
PMCPMC7641795
OpenAlexW3096557159

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.