Evidence map›Paper›PMID 25188443›Full record

ArticlePloS one2014

Subtype classification of Iranian HIV-1 sequences registered in the HIV databases, 2006-2013.

Kazem Baesi, Samaneh Moallemi, Molood Farrokhi, Seyed Ahmad Seyed Alinaghi, Hong-Ha M Truong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Drug resistance patterns in HIV patients with virologic failure in Iran.Archives of clinical infectious diseases · 2019
    Article
  4. Article
  5. Drug Resistance-Associated Mutations in Antiretroviral Treatment-Experienced Patients in Kuwait.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2018
    Article
  6. Article
  7. Overview of HIV molecular epidemiology among people who inject drugs in Europe and Asia.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Review
  8. 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 2 countries.

Kazem BaesiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
Samaneh MoallemiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
Molood FarrokhiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Ahmad Seyed AlinaghiIranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran.
Hong-Ha M TruongUniversity of California, San Francisco, CA, United States of America; Gladstone Institute of Virology and Immunology, San Francisco, CA, United States of America.
Iranian Institute for Health Sciences Research · IRGladstone Institutes · USTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rate of human immunodeficiency virus type 1 (HIV-1) infection in Iran has increased dramatically in the past few years. While the earliest cases were among hemophiliacs, injection drug users (IDUs) fuel the current epidemic. Previous molecular epidemiological analysis found that subtype A was most common among IDUs but more recent studies suggest CRF_35AD may be more prevalent now. To gain a better understanding of the molecular epidemiology of HIV-1 infection in Iran, we analyzed all Iranian HIV sequence data from the Los Alamos National Laboratory.

methodsAll Iranian HIV sequences from subtyping studies with pol, gag, env and full-length HIV-1 genome sequences registered in the HIV databases (www.hiv.lanl.gov) between 2006 and 2013 were downloaded. Phylogenetic trees of each region were constructed using Neighbor-Joining (NJ) and Maximum Parsimony methods.

resultsA total of 475 HIV sequences were analyzed. Overall, 78% of sequences were CRF_35AD. By gene region, CRF_35AD comprised 83% of HIV-1 pol, 62% of env, 78% of gag, and 90% of full-length genome sequences analyzed. There were 240 sequences re-categorized as CRF_AD. The proportion of CRF_35AD sequences categorized by the present study is nearly double the proportion of what had been reported.

conclusionsPhylogenetic analysis indicates HIV-1 subtype CRF_35AD is the predominant circulating strain in Iran. This result differed from previous studies that reported subtype A as most prevalent in HIV- infected patients but confirmed other studies which reported CRF_35AD as predominant among IDUs. The observed epidemiological connection between HIV strains circulating in Iran and Afghanistan may be due to drug trafficking and/or immigration between the two countries. This finding suggests the possible origins and transmission dynamics of HIV/AIDS within Iran and provides useful information for designing control and intervention strategies.

Indexed as

AfghanistanDatabases, Nucleic AcidFemaleGenes, envGenes, gagGenes, polGenome, ViralHemophilia AHIV-1HIV InfectionsHumansIranMaleMolecular EpidemiologyMolecular Sequence DataPhylogeny

Identifiers

PMID25188443
PMCPMC4154867
OpenAlexW2082244615

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.