Evidence map›Paper›PMID 25111307›Full record

ArticlePloS one2014

Evaluation of the ecotoxicity of sediments from Yangtze river estuary and contribution of priority PAHs to ah receptor--mediated activities.

Li Liu, Ling Chen, Ying Shao, Lili Zhang, Tilman Floehr, Hongxia Xiao, Yan Yan, Kathrin Eichbaum, Henner Hollert, Lingling Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Li LiuKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China.
Ling ChenKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China.
Ying ShaoKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China; Department of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
Lili ZhangKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China.
Tilman FloehrDepartment of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
Hongxia XiaoDepartment of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
Yan YanDepartment of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
Kathrin EichbaumDepartment of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany.
Henner HollertKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China; Department of Ecosystem Analysis, Institute for Environmental Research (Biology V), Aachen Biology and Biotechnology, RWTH Aachen University, Aachen, Germany; College of Resources and Environmental Science, Chongqing University, Chongqing, China; School of Environment, Nanjing University, Nanjing, China.
Lingling WuKey Laboratory of Yangtze Water environment, Ministry of Education, Tongji University, Shanghai, China.
RWTH Aachen University · DETongji University · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, in vitro bioassays were performed to assess the ecotoxicological potential of sediments from Yangtze River estuary. The cytotoxicity and aryl hydrocarbon receptor (AhR)-mediated toxicity of sediment extracts with rainbow trout (Oncorhynchus mykiss) liver cells were determined by neutral red retention and 7-ethoxyresorufin-O-deethylase assays. The cytotoxicity and AhR-mediated activity of sediments from the Yangtze River estuary ranged from low level to moderate level compared with the ecotoxicity of sediments from other river systems. However, Yangtze River releases approximately 14 times greater water discharge compared with Rhine, a major river in Europe. Thus, the absolute pollution mass transfer of Yangtze River may be detrimental to the environmental quality of estuary and East China Sea. Effect-directed analysis was applied to identify substances causing high dioxin-like activities. To identify unknown substances contributing to dioxin-like potencies of whole extracts, we fractionated crude extracts by open column chromatography. Non-polar paraffinic components (F1), weakly and moderately polar components (F2), and highly polar substances (F3) were separated from each crude extract of sediments. F2 showed the highest dioxin-like activities. Based on the results of mass balance calculation of chemical toxic equivalent concentrations (TEQs), our conclusion is that priority polycyclic aromatic hydrocarbons indicated a low portion of bio-TEQs ranging from 1% to 10% of crude extracts. Further studies should be conducted to identify unknown pollutants.

Indexed as

EcotoxicologyEstuariesAnimalsCell LineChinaCytochrome P-450 CYP1A1Enzyme InductionGeologic SedimentsOncorhynchus mykissPolycyclic Aromatic HydrocarbonsReceptors, Aryl HydrocarbonRiversWater Pollutants, ChemicalCytochrome P-450 CYP1A1Polycyclic Aromatic HydrocarbonsReceptors, Aryl HydrocarbonWater Pollutants, Chemical

Identifiers

PMID25111307
PMCPMC4128779
OpenAlexW1970864123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.