Evidence map›Paper›PMID 38745038›Full record

ArticleScientific reports2024

Melting temperature mapping method using imperfect-match linear long probes.

Shinya Ootsuki, Hideki Niimi, Tomohiro Ueno, Masashi Mori, Homare Tabata, Hiroshi Minami, Isao Kitajima

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shinya Ootsuki *Clinical Laboratory and Transfusion Medicine & Cell Therapy Center, Toyama University Hospital, 2630 Sugitani, Toyama, 930-0194, Japan.
Hideki Niimi *Clinical Laboratory and Transfusion Medicine & Cell Therapy Center, Toyama University Hospital, 2630 Sugitani, Toyama, 930-0194, Japan. hiniimi@med.u-toyama.ac.jp.
Tomohiro UenoLaboratory for Clinical Investigation, Osaka University Hospital, Osaka, 565-0871, Japan.
Masashi MoriResearch Institute for Bioresources and Biotechnology, Ishikawa Prefectural University, Ishikawa, 921-8836, Japan.
Homare TabataLife Science Center, Hokkaido Mitsui Chemicals, Inc., Hokkaido, 073-0138, Japan.
Hiroshi MinamiLife Science Center, Hokkaido Mitsui Chemicals, Inc., Hokkaido, 073-0138, Japan.
Isao KitajimaAdministrative Office, University of Toyama, Toyama, 930-8555, Japan. kitajima@med.u-toyama.ac.jp.

Funding

Japan Agency for Medical Research and Development JP19im0210217Japan Society for the Promotion of Science KAKENHI 18H02728Japan Society for the Promotion of Science KAKENHI 21H02825
6 · The paper itself

Abstract

Identifying pathogenic microorganisms as early as possible is critical for selecting the appropriate antimicrobial therapy in infected patients. We previously reported the development of the Tm mapping method for identifying a broad range of pathogenic bacteria within 3 h of blood collection. However, the Tm mapping identification requires an analytical instrument with a tube-to-tube variation of no more than 0.1 °C, so we can only use a few instruments that have such high thermal accuracy. To address the problem, we developed the improved Tm mapping method using imperfect-match linear long quenching probes (IMLL Q-probes). Using IMLL Q-probes, almost all commercially available analytical instruments can be used for the Tm mapping method. Some bacterial species cannot be narrowed down to one species, but they can at least be narrowed down to the genus level. The Tm mapping method using IMLL Q-probes is useful for deciding on antimicrobial therapy in infected patients.

Indexed as

BacteriaHumansTransition Temperature

Identifiers

PMID38745038
PMCPMC11094154

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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.