Evidence map›Paper›PMID 30741955›Full record

ArticleScientific reports2019

Metabolomics Approach Based on Multivariate Techniques for Blood Transfusion Reactions.

Seul Ji Lee, Haiping Wang, Soo Hyun Ahn, Mi Kwon Son, Gyu Hwan Hyun, Sang Jun Yoon, Jeongmi Lee, Jeong Hill Park, Johan Lim, Soon-Sun Hong and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

11 authors.

Seul Ji LeeCollege of Pharmacy, Seoul National University, Seoul, 08826, Korea.
Haiping WangCollege of Pharmacy, Seoul National University, Seoul, 08826, Korea.
Soo Hyun AhnDepartment of Mathematics, Ajou University, Suwon, 16499, Korea.
Mi Kwon SonCollege of Medicine, Inha University, Incheon, 22212, Korea.
Gyu Hwan HyunCollege of Pharmacy, Seoul National University, Seoul, 08826, Korea.
Sang Jun YoonCollege of Pharmacy, Seoul National University, Seoul, 08826, Korea.
Jeongmi LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, 16419, Korea.
Jeong Hill ParkCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea.
Johan LimDepartment of Statistics, Seoul National University, Seoul, 08826, Korea.
Soon-Sun HongCollege of Medicine, Inha University, Incheon, 22212, Korea. hongs@inha.ac.kr.
Sung Won KwonCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea. swkwon@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood transfusions temporarily improve the physical state of the patient but exert widespread effects on immune and non-immune systems. Perioperative allogeneic blood transfusions (ABT) are associated with various risks, including coagulopathy, incompatibility, transmission of infectious agents, and allergic reactions. Nevertheless, little is known about the global metabolic alterations that reflect the possible reactions of blood transfusions. In this study, we investigated metabolite changes generated by ABT in a rat model using metabolomics technology. To further profile the "metabolome" after blood transfusions, we used both liquid chromatography-quadrupole time-of-flight high-definition mass spectrometry and gas chromatography-mass spectrometry. ABT promoted a stimulatory microenvironment associated with a relative increase in glucose transporter 1/4 (GLUT1/GLUT4) expression. Supporting this result, glucose metabolism-related enzyme IRS1 and interleukin-6 (IL-6) were abnormally expressed, and levels of lysophosphatidylcholine (LysoPC) and its related enzyme phospholipase A2 (PLA2) were significantly altered in allogeneic groups compared to those in autologous groups. Finally, amino acid metabolism was also altered following ABT. Taken together, our results show a difference between autologous and allogeneic blood transfusions and demonstrate correlations with cancer-associated metabolic changes. Our data provide endogenous information for a better understanding of blood transfusion reactions.

Indexed as

MetabolomeMetabolomicsChromatography, High Pressure LiquidEnzyme-Linked Immunosorbent AssayGas Chromatography-Mass SpectrometryHumansMetabolic Networks and PathwaysSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTransfusion Reaction

Identifiers

PMID30741955
PMCPMC6370787

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