Evidence map›Paper›PMID 34819737›Full record

ArticleInfection and drug resistance2021

Genetic Diversity and Acquired Drug Resistance Mutations Detected by Deep Sequencing in Virologic Failures among Antiretroviral Treatment Experienced Human Immunodeficiency Virus-1 Patients in a Pastoralist Region of Ethiopia.

Erdaw Tachbele, Samuel Kyobe, Fred Ashaba Katabazi, Edgar Kigozi, Savannah Mwesigwa, Moses Joloba, Alebachew Messele, Wondwossen Amogne, Mengistu Legesse, Rembert Pieper and 1 more

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 3 countries.

Erdaw TachbeleAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-2597-2338
Samuel KyobeCollege of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-0444-5608
Fred Ashaba KatabaziCollege of Health Sciences, Makerere University, Kampala, Uganda.
Edgar KigoziCollege of Health Sciences, Makerere University, Kampala, Uganda.
Savannah MwesigwaCollege of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-5466-2315
Moses JolobaCollege of Health Sciences, Makerere University, Kampala, Uganda.
Alebachew MesseleAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-5244-4020
Wondwossen AmogneCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-4950-3966
Mengistu LegesseAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Rembert PieperJanssen Biopharma, South San Francisco, CA, USA.
Gobena AmeniAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-3245-2816
Addis Ababa University · ETMakerere University · UGJanssen (United States) · US

Funding

Systems Biology for Molecular Analysis of Tuberculosis in EthiopiaU01HG007472 · NHGRI · ADDIS ABABA UNIVERSITY · PI AMENI, GOBENA · 2013 to 2016
$1.2M
NHGRI NIH HHS U01 HG007472
6 · The paper itself

Abstract

purposeThis study was conducted to investigate the drug resistance mutations and genetic diversity of HIV-1 in ART experienced patients in South Omo, Ethiopia. PATIENTS AND

methodsA cross-sectional study conducted on 253 adult patients attending ART clinics for ≥6 months in South Omo. Samples with VL ≥1000 copies/mL were considered as virological failures (VF) and their reverse transcriptase gene codons 90-234 were sequenced using Illumina MiSeq. MinVar was used for the identification of the subtypes and drug resistance mutations. Phylogenetic tree was constructed by neighbor-joining method using the maximum likelihood model.

resultsThe median duration of ART was 51 months and 18.6% (47/253) of the patients exhibited VF. Of 47 viraemic patients, the genome of 41 were sequenced and subtype C was dominant (87.8%) followed by recombinant subtype BC (4.9%), M-09-CPX (4.9) and BF1 (2.4%). Of 41 genotyped subjects, 85.4% (35/41) had at least one ADR mutation. Eighty-one percent (33/41) of viraemic patients harbored NRTI resistance mutations, and 48.8% (20/41) were positive for NNRTI resistance mutations, with 43.9% dual resistance mutations. Among NRTI resistance mutations, M184V (73.2%), K219Q (63.4%) and T215 (56.1%) complex were the most mutated positions, while the most common NNRTI resistance mutations were K103N (24.4%), K101E, P225H and V108I 7.5% each. Active tuberculosis (aOR=13, 95% CI= 3.46-29.69), immunological failure (aOR=3.61, 95% CI=1.26-10.39), opportunistic infections (aOR=8.39, 95% CI= 1.75-40.19), and poor adherence were significantly associated with virological failure, while rural residence (aOR 2.37; 95% CI: 1.62-9.10, P= 0.05), immunological failures (aOR 2.37; 95% CI: 1.62-9.10, P= 0.05) and high viral load (aOR 16; 95% CI: 5.35 51.59, P <0.001) were predictors of ADR mutation among the ART experienced and viraemic study subjects.

conclusionThe study revealed considerable prevalence of VF and ADR mutation with the associated risk indicators. Regular virological monitoring and drug resistance genotyping methods should be implemented for better ART treatment outcomes of the nation.

Indexed as

acquired drug resistanceART experiencedEthiopiagenetic diversityHIV-1South Omo

Identifiers

PMID34819737
PMCPMC8607991
OpenAlexW3213766511

What OpenQuestion holds

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LicenceCC BY-NC
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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.