Evidence map›Paper›PMID 25892966›Full record

ArticleInternational journal of biological sciences2015

¹H NMR based serum metabolic profiles associated with pathological progression of pancreatic islet β cell tumor in Rip1-Tag2 mice.

Yongxia Yang, Ying Liu, Lingyun Zheng, Qianqian Zhang, Quliang Gu, Linlin Wang, Lijing Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2015. 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
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Serum Metabolic Characterization of Vitamin E Deficiency inAnimals : an open access journal from MDPI · 2023
    Article
  2. Article
  3. High-Throughput Metabolomics by 1D NMR.Angewandte Chemie (International ed. in English) · 2019
    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

7 authors at 1 institution in 1 country.

Yongxia Yang1. School of Basic Course, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China ; 2. Vascular Biology Research Institute, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Ying Liu1. School of Basic Course, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China ; 2. Vascular Biology Research Institute, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Lingyun Zheng1. School of Basic Course, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Qianqian Zhang2. Vascular Biology Research Institute, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Quliang Gu1. School of Basic Course, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Linlin Wang1. School of Basic Course, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Lijing Wang2. Vascular Biology Research Institute, Guangdong Pharmaceutical University, Guangzhou, 510006, PR China.
Guangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic islet β cell tumor is the most common islet cell tumor. A well-characterized tumor progression in Rip1-Tag2 mice undergoes five stages, involving normal, hyperplasia, angiogenic islets, tumorigenesis and invasive carcinoma. (1)H NMR based metabonomics was applied to identify potential biomarkers for monitoring pancreatic islet β cell tumor progression in Rip1-Tag2 mice. Multivariate analysis results showed the serum metabonome at hyperplasia stage shared the similar characteristics with the ones at normal stage as a result of slight proliferation of pancreatic islet β cells. At angiogenic islets stage, the up-regulated glycolysis, disturbed choline and phospholipid metabolism composed the metabolic signature. In addition to the changes mentioned above, several metabolites were identified as early biomarkers for tumorigenesis, including increased methionine, citrate and choline, and reduced acetate, taurine and glucose, which suggested the activated energy and amino acid metabolism. All the changes were aggravated at invasive carcinoma stage, coupled with notable changes in alanine, glutamate and glycine. Moreover, the distinct metabolic phenotype was found associated with the implanting of SV40 large T antigen in Rip1-Tag2 mice. The combined metabolic and multivariate statistics approach provides a robust method for screening the biomarkers of disease progression and examining the association between gene and metabolism.

Indexed as

MetabolomicsAdenoma, Islet CellAnimalsCarcinomaGene Expression Regulation, NeoplasticMagnetic Resonance SpectroscopyMiceMice, Inbred StrainsNeuroendocrine TumorsPancreatic Neoplasms1H NMRMetabonomicsMultivariate analysisPancreatic islet β cell carcinomaRip1-Tag2Serum

Identifiers

PMID25892966
PMCPMC4400390
OpenAlexW2118434306

What OpenQuestion holds

Textmetadata
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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.