Evidence map›Paper›PMID 20876379›Full record

ArticleAntimicrobial agents and chemotherapy2010

Improved detection of mutated human cytomegalovirus UL97 by pyrosequencing.

Birgit Schindele, Luise Apelt, Jörg Hofmann, Andreas Nitsche, Detlef Michel, Sebastian Voigt, Thomas Mertens, Bernhard Ehlers

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. 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
1.9field-weighted citation impact, top 14% 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, 26 citations in OpenAlex.

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  11. The biology of cytomegalovirus drug resistance.Current opinion in infectious diseases · 2011
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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

8 authors at 3 institutions in 1 country.

Birgit SchindeleFG12 Division of Viral Infections, Robert Koch Institute, Nordufer 20, 13353 Berlin, Germany.
Luise Apelt
Jörg Hofmann
Andreas Nitsche
Detlef Michel
Sebastian Voigt
Thomas Mertens
Bernhard Ehlers
Robert Koch Institute · DEUniversity Hospital Ulm · DECharité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ganciclovir (GCV) resistance frequently occurs upon prolonged treatment of ongoing active human cytomegalovirus (HCMV) infection in individuals with immature or compromised immune functions (e.g., recipients of solid-organ and hematopoietic stem cell transplants). Using pyrosequencing (PSQ), we established fast and sensitive detection of GCV resistance-associated mutations occurring in the HCMV open reading frame UL97. These mutations have been repeatedly associated with clinical treatment failure. We designed four PSQ assays and evaluated them by analyzing mixtures of plasmids or bacterial artificial chromosome-derived viruses containing UL97 wild-type and mutant sequences. A minimum level of 6% mutant sequence variants could be detected in these mixtures. In order to further evaluate the novel PSQ assays, we tested clinical specimens from patients with active HCMV infections. The results were compared with those obtained by conventional dideoxy chain terminator sequencing. As the PSQ method was more sensitive in detecting minor HCMV mutant fractions in a wild-type population, it is suggested that pyrosequencing is a useful tool for the early detection of emerging GCV-resistant HCMV in GCV-treated patients.

Indexed as

Base SequenceCytomegalovirusDNA, ViralHumansMolecular Sequence DataMutationOpen Reading FramesPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNADNA, Viral

Identifiers

PMID20876379
PMCPMC2981242
OpenAlexW2121538804

What OpenQuestion holds

Textmetadata
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.