Evidence map›Paper›PMID 34802420›Full record

ArticleBMC genomics2021

The whole-genome sequencing in predicting Mycobacterium tuberculosis drug susceptibility and resistance in Papua, Indonesia.

Yustinus Maladan, Hana Krismawati, Tri Wahyuni, Ratna Tanjung, Kamla Awaludin, Kholis Abdurachim Audah, Arli Aditya Parikesit

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Fluoroquinolone resistance and mutation profiles inFrontiers in public health · 2026
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  4. Molecular and Transmission Characteristics ofInfection and drug resistance · 2025
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  7. Direct prediction of antimicrobial resistance inFrontiers in microbiology · 2024
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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 4 institutions in 1 country.

Yustinus MaladanCenter for Papua Health Research and Development, Papua, Indonesia. yustinus.maladan@litbang.kemkes.go.id.
Hana KrismawatiCenter for Papua Health Research and Development, Papua, Indonesia.
Tri WahyuniCenter for Papua Health Research and Development, Papua, Indonesia.
Ratna TanjungCenter for Papua Health Research and Development, Papua, Indonesia.
Kamla AwaludinJayapura Regional Health Laboratory, Papua, Indonesia.
Kholis Abdurachim AudahDepartment of Biomedical Engineering, Swiss German University, Tangerang, Indonesia.
Arli Aditya ParikesitDepartment of Bioinformatics, School of Life Sciences, International Institute for Life Sciences (I3L), Jakarta, Indonesia. arli.parikesit@i3l.ac.id.
State University of Papua · IDIndonesia International Institute for Life Sciences · IDSwiss German University · IDUniversitas Yapis Papua · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis is one of the deadliest disease caused by Mycobacterium tuberculosis. Its treatment still becomes a burden for many countries including Indonesia. Drug resistance is one of the problems in TB treatment. However, a development in the molecular field through Whole-genome sequencing (WGS) can be used as a solution in detecting mutations associated with TB- drugs. This investigation intended to implement this data for supporting the scientific community in deeply understanding any TB epidemiology and evolution in Papua along with detecting any mutations in genes associated with TB-Drugs.

resultA whole-genome sequencing was performed on the random samples from TB Referral Laboratory in Papua utilizing MiSeq 600 cycle Reagent Kit (V3). Furthermore, TBProfiler was used for genome analysis, RAST Server was employed for annotation, while Gview server was applied for BLAST genome mapping and a Microscope server was implemented for Regions of Genomic Plasticity (RGP). The largest genome of M. tuberculosis obtained was at the size of 4,396,040 bp with subsystems number at 309 and the number of coding sequences at 4326. One sample (TB751) contained one RGP. The drug resistance analysis revealed that several mutations associated with TB-drug resistance existed. In details, mutations of rpoB gene which were identified as S450L, D435Y, H445Y, L430P, and Q432K had caused the reduced effectiveness of rifampicin; while the mutases in katG (S315T), kasA (312S), inhA (I21V), and Rv1482c-fabG1 (C-15 T) genes had contributed to the resistance in isoniazid. In streptomycin, the resistance was triggered by the mutations in rpsL (K43R) and rrs (A514C, A514T) genes, and, in Amikacin, its resistance was led by mutations in rrs (A514C) gene. Additionally, in Ethambutol and Pyrazinamide, their reduced effectiveness was provoked by embB gene mutases (M306L, M306V, D1024N) and pncA (W119R).

conclusionsThe results from whole-genome sequencing of TB clinical sample in Papua, Indonesia could contribute to the surveillance of TB-drug resistance. In the drug resistance profile, there were 15 Multi Drugs Resistance (MDR) samples. However, Extensively Drug-resistant (XDR) samples have not been found, but samples were resistant to only Amikacin, a second-line drug.

Indexed as

Mycobacterium tuberculosisPharmaceutical PreparationsTuberculosis, Multidrug-ResistantAntitubercular AgentsBacterial ProteinsDrug Resistance, Multiple, BacterialHumansIndonesiaMicrobial Sensitivity TestsMutationAntitubercular AgentsBacterial ProteinsPharmaceutical Preparations

Identifiers

PMID34802420
PMCPMC8607662
OpenAlexW3215222034

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.