Evidence map›Paper›PMID 33995897›Full record

ArticleComputational and structural biotechnology journal2021

Multiblock metabolomics: An approach to elucidate whole-body metabolism with multiblock principal component analysis.

Kazuhiro Tanabe, Chihiro Hayashi, Tomoko Katahira, Katsuhiko Sasaki, Ko Igami

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  8. Metabolomics analysis of MnORSC advances · 2023
    Article
  9. Article
  10. Metabolomics Analysis and Antioxidant Potential of EndophyticJournal of fungi (Basel, Switzerland) · 2022
    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

5 authors.

Kazuhiro TanabeMedical Solution Promotion Department, Medical Solution Segment, LSI Medience Corporation, 3-30-1 Shimura, Itabashi-ku, Tokyo 174-8555, Japan.
Chihiro HayashiMedical Solution Promotion Department, Medical Solution Segment, LSI Medience Corporation, 3-30-1 Shimura, Itabashi-ku, Tokyo 174-8555, Japan.
Tomoko KatahiraMedical Solution Promotion Department, Medical Solution Segment, LSI Medience Corporation, 3-30-1 Shimura, Itabashi-ku, Tokyo 174-8555, Japan.
Katsuhiko SasakiMedical Solution Promotion Department, Medical Solution Segment, LSI Medience Corporation, 3-30-1 Shimura, Itabashi-ku, Tokyo 174-8555, Japan.
Ko IgamiResearch Supporting Department, Kyushu Pro Search Limited Liability Partnership, 4-1 Kyudai-Shincho, Nishiku, Fukuoka 819-0388, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Principal component analysis (PCA) is a useful tool for omics analysis to identify underlying factors and visualize relationships between biomarkers. However, this approach is limited in addressing life complexity and further improvement is required. This study aimed to develop a new approach that combines mass spectrometry-based metabolomics with multiblock PCA to elucidate the whole-body global metabolic network, thereby generating comparable metabolite maps to clarify the metabolic relationships among several organs. To evaluate the newly developed method, Zucker diabetic fatty (ZDF) rats (

Indexed as

AMP, adenosine monophosphateBiomarkersCE/MS, capillary electrophoresis mass spectrometryCV, coefficient of variationESI, electrospray ionizationFABP, fatty acid-binding proteinGC/MS, gas chromatography mass spectrometryLC/MS, liquid chromatography mass spectrometryMass spectrometryMetabolomicsMultiblock PCAPCA, principal component analysisPPAR, peroxisome proliferator-activated receptorQC, quality controlSD, Sprague DawleyTCA, tricarboxylic acid. CoA, coenzyme ATG, triacylglycerolType 2 DiabetesUPLC, ultra-performance liquid chromatographyZDF, Zucker diabetic fatty

Identifiers

PMID33995897
PMCPMC8086023
OpenAlexW3151179000

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.