Evidence map›Paper›PMID 28756649›Full record

ArticleJournal of cellular and molecular medicine2017

RNomic identification and evaluation of npcTB_6715, a non-protein-coding RNA gene as a potential biomarker for the detection of Mycobacterium tuberculosis.

Priyatharisni Kanniappan, Siti Aminah Ahmed, Ganeswrie Rajasekaram, Citartan Marimuthu, Ewe Seng Ch'ng, Li Pin Lee, Carsten A Raabe, Timofey S Rozhdestvensky, Thean Hock Tang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2017. 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
0.1field-weighted citation impact, top 49% 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, 6 citations in OpenAlex.

  1. Materiobiology in the omics era.Materials today. Bio · 2025
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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

9 authors at 4 institutions in 2 countries.

Priyatharisni KanniappanAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Siti Aminah AhmedAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.ORCID 0000-0002-0626-175X
Ganeswrie RajasekaramDepartment of Pathology, Johor Bahru General Hospital, Johor, Malaysia.
Citartan MarimuthuAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Ewe Seng Ch'ngAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Li Pin LeeAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Carsten A RaabeInstitute of Experimental Pathology (ZMBE), University of Muenster, Münster, Germany.
Timofey S RozhdestvenskyDepartment of Medicine (TRAM), University Hospital of Muenster, Münster, Germany.
Thean Hock TangAdvanced Medical & Dental Institute (AMDI), Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.
Universiti Sains Malaysia · MYSultanah Aminah Hospital · MYUniversity Hospital Münster · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances in RNA biology greatly improved transcriptome profiling during the last two decades. Besides the discovery of many small RNAs (sRNA) that are involved in the physiological and pathophysiological regulation of various cellular circuits, it becomes evident that the corresponding RNA genes might also serve as potential biomarkers to monitor the progression of disease and treatment. sRNA gene candidate npcTB_6715 was previously identified via experimental RNomic (unpublished data), and we report its application as potential biomarker for the detection of Mycobacterium tuberculosis (MTB) in patient samples. For proof of principle, we developed a multiplex PCR assay and report its validation with 500 clinical cultures, positive for Mycobacteria. The analysis revealed 98.9% sensitivity, 96.1% specificity, positive and negative predictive values of 98.6% and 96.8%, respectively. These results underscore the diagnostic value of the sRNA gene as diagnostic marker for the specific detection of MTB in clinical samples. Its successful application and the general ease of PCR-based detection compared to standard bacterial culture techniques might be the first step towards 'point-of-care' diagnostics of Mycobacteria. To the best of our knowledge, this is the first time for the design of diagnostic applications based on sRNA genes, in Mycobacteria.

Indexed as

BiomarkersDNA, ComplementaryGene Expression ProfilingGenomicsHumansMultiplex Polymerase Chain ReactionMycobacterium tuberculosisReproducibility of ResultsRNARNA, BacterialRNA, Small UntranslatedSensitivity and SpecificitySequence Analysis, DNATuberculosisBiomarkersDNA, ComplementaryRNARNA, BacterialRNA, Small Untranslateddiagnosismultiplex PCRMycobacterium tuberculosisRNomicsmall RNA (sRNA)

Identifiers

PMID28756649
PMCPMC5618688
OpenAlexW2740529882

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.