Evidence map›Paper›PMID 29984665›Full record

ArticleMicroRNA (Shariqah, United Arab Emirates)2018

The Influence of Pre-Analytical Factors on the Analysis of Circulating MicroRNA.

Hiromichi Shiotsu, Kazuhiro Okada, Tatsuki Shibuta, Yuki Kobayashi, Saki Shirahama, Chieri Kuroki, Saori Ueda, Masanori Ohkuma, Katsuyoshi Ikeda, Yukio Ando and 3 more

Abstract read
In one paragraph

Article in MicroRNA (Shariqah, United Arab Emirates), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. False Positives in Brucellosis Serology: Wrong Bait and Wrong Pond?Tropical medicine and infectious disease · 2023
    Review
  4. Article
  5. Circulating microRNAs: Challenges with their use as liquid biopsy biomarkers.Cancer biomarkers : section A of Disease markers · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. 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

13 authors.

Hiromichi ShiotsuDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kazuhiro OkadaDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tatsuki ShibutaDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yuki KobayashiDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Saki ShirahamaDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Chieri KurokiDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Saori UedaDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masanori OhkumaDepartment of Laboratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Katsuyoshi IkedaDepartment of Laboratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Yukio AndoDepartment of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hirotaka MatsuiDepartment of Laboratory Medicine, Kumamoto University Hospital, Kumamoto, Japan.
Yuzo KayamoriDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tsukuru UmemuraDepartment of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNA) are expected as useful biomarkers for various diseases. We studied the pre-analytical factors causing variation in the analysis of miRNA. MATERIAL AND

methodsBlood samples were collected from 25 healthy subjects. Plasma and serum were obtained from the same samples. The levels of miR-451, -16, -126, and -223 were analyzed using RT-qPCR. Cel-miR-39 was added as a spiked-in control in each sample.

resultsWith the exception of miR-451, the levels of the miRNAs in plasma were higher than in serum. After high-speed centrifugation, the levels of miRNAs were almost equal between plasma and serum except for miR-451. Membrane filtration with 0.45 µm pore size reduced the levels of plasma miRNAs. The coagulation accelerators for serum processing did not affect the analysis of miRNA. The use of fraction containing particles of > 0.45 µm in size showed the inhibitory effect on the analysis of plasma miR-451. The RNase inhibitor was effective for protecting against the degradation of miRNAs.

conclusionPlasma contains factors modifying miRNA profiles. The immediate processing of plasma with membrane filtration and RNase inhibitor may be a relevant method for achieving the stable analysis of miRNA.

Indexed as

AdultBiomarkersBlood Specimen CollectionCirculating MicroRNAFemaleHealthy VolunteersHumansMalePlasmaQuality ControlSerumYoung AdultBiomarkersCirculating MicroRNAapoptosismicroRNAplasmaprotienserumstandardization.

Identifiers

PMID29984665
PMCPMC6225341

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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.