Evidence map›Paper›PMID 19499332›Full record

ArticleEcotoxicology (London, England)2009

Effects of the Yangtze River source of drinking water on metabolites of Mus musculus.

Yan Zhang, Dayong Zhao, Bing Wu, Fang Hu, Jie Kong, Xuxiang Zhang, Mei Li, Yibin Cui, Shupei Cheng

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. The exposome in practice: Design of the EXPOsOMICS project.International journal of hygiene and environmental health · 2017
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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

9 authors at 2 institutions in 1 country.

Yan ZhangState Key Laboratory of Pollution Control and Resource Reuse & School of the Environment, Nanjing University, 210093 Nanjng, People's Republic of China.
Dayong Zhao
Bing Wu
Fang Hu
Jie Kong
Xuxiang Zhang
Mei Li
Yibin Cui
Shupei Cheng
Nanjing University · CNState Key Laboratory of Pollution Control and Resource Reuse · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of the Yangtze River source of drinking water on metabolites of mouse (Mus musculus) were implemented to observe the environmental health issue of the water by use of the 1H nuclear magnetic resonance (NMR) spectroscopy-based metabonomics. All the sampled mice were treated for 90 days. There were 20 organic pollutants discovered in the water with total concentration of 9.41 microg/l. The NMR spectra for the sampled mice were different at delta2.06, delta2.24 and delta5.22. The concentrations of alanine, glycoprotein, acetone and trimethylamine-N-oxide in the source water group mice were decreased but that of creatinine and glucose were increased, which indicated that hepatotoxicity and kidney dysfunction occurred. There were six parameters for the source water group mice were different or extremely different from that of the control group. And these metabolites are responsible for separation of the data along PC1 and PC2 which may be used as biomarkers to indicate the source water pollution. The results indicate that 1H NMR-based metabonomic approach is a useful technique to test toxicity of xenobiotics on metabolites for observation of the environmental health issue of source water.

Indexed as

AnimalsChinaDrinkingEnvironmental MonitoringMetabolomeMicePolycyclic Aromatic HydrocarbonsRiversWater Pollutants, ChemicalWater SupplyPolycyclic Aromatic HydrocarbonsWater Pollutants, Chemical

Identifiers

PMID19499332
OpenAlexW2048643507

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.