Evidence map›Paper›PMID 25599103›Full record

ArticleThe Analyst2015

Specific in situ hepatitis B viral double mutation (HBVDM) detection in urine with 60 copies ml(-1) analytical sensitivity in a background of 250-fold wild type without DNA isolation and amplification.

Ceyhun E Kirimli, Wei-Heng Shih, Wan Y Shih

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Ceyhun E KirimliDrexel University, School of Biomedical Engineering, Science, and Health Systems, Philadelphia, Pennsylvania, USA.
Wei-Heng Shih
Wan Y Shih
Drexel University · US

Funding

Rapid, Accurate, and Low-Cost Stool Clostridium difficile Genetic TestR41AI112224 · NIAID · LENIMA FIELD DIAGNOSTICS, LLC · PI SHIH, WAN Y. · 2014 to 2014
$300k
A Low-Cost Portable Multiplex Serum Molecular Test for HBV and HCV DetectionR41AI120445 · NIAID · LENIMA FIELD DIAGNOSTICS, LLC · PI SHIH, WAN Y. · 2015 to 2015
$300k
NIAID NIH HHS 1R41AI1122224NIAID NIH HHS R41 AI112224NIAID NIH HHS R41 AI120445
6 · The paper itself

Abstract

We have examined in situ detection of hepatitis B virus 1762T/1764A double mutation (HBVDM) in urine using a (Pb(Mg(1/3)Nb(2/3))O3)(0.65)(PbTiO3)(0.35) (PMN-PT) piezoelectric plate sensor (PEPS) coated with a 16-nucleotide (nt) probe DNA (pDNA) complementary to the HBVDM. The in situ mutation (MT) detection was carried out in a flow with the PEPS vertically situated at the center of the flow in a background of wild type (WT). For validation, this detection was followed by detection in the mixture of MT fluorescent reporter microspheres (FRMs) (MT FRMs) and WT FRMs that emitted different fluorescence colours and were designed to specifically bind to MT and WT, respectively. At 30 °C and 4 ml min(-1), a PEPS was shown to specifically detect HBVDM in situ with 60 copies ml(-1) analytical sensitivity in a background of clinically-relevant 250-fold more WT in 30 min without DNA isolation, amplification, or labelling as validated by the visualization of the captured MT FRMs and WT FRMs following FRM detection where the captured MT FRMs outnumbered the WT FRMs by a factor of 5 to 1.

Indexed as

Biosensing TechniquesDNA Mutational AnalysisDNA, ViralFluorescenceGenotypeHepatitis BHepatitis B virusHumansMicrospheresMutationPolymerase Chain ReactionDNA, Viral

Identifiers

PMID25599103
PMCPMC6542474
OpenAlexW2047168453

What OpenQuestion holds

Textmetadata
LicenceTDM
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.