A Mechanism-based QSTR Model for Acute to Chronic Toxicity Extrapolation: A Case Study of Antibiotics on Luminous Bacteria.

Dali Wang, Yue Gu, Min Zheng, Wei Zhang, Zhifen Lin, Ying Liu

Open access · goldAbstract read

In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

2.1field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

Comparison of Joint Effect of Acute and Chronic Toxicity for Combined Assessment of Heavy Metals onInternational journal of environmental research and public health · 2021
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

6 authors at 5 institutions in 1 country.

Dali WangState Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Yue GuCollege of Fisheries and Life Science, Shanghai Ocean University, Shanghai, 201306, China.

Min ZhengState Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.

Wei ZhangSchool of Resource and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China.

Zhifen LinState Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. lzhifen@tongji.edu.cn.

Ying LiuShanghai Key Laboratory of Chemical Assessment and Sustainability, Shanghai, China.

East China University of Science and Technology · CNShanghai Ocean University · CNSouth China Institute of Collaborative Innovation · CNState Key Laboratory of Pollution Control and Resource Reuse · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the chronic toxicity is time-consumed and costly, so it's of great interest to predict the chronic toxicity based on acute data. Current methods include the acute to chronic ratios (ACRs) and the QSTR models, both of which have some usage limitations. In this paper, the acute and chronic mixture toxicity of three types of antibiotics, namely sulfonamides, sulfonamide potentiators and tetracyclines, were determined by a bioluminescence inhibition test. A novel QSTR model was developed for predicting the chronic mixture toxicity using the acute data and docking-based descriptors. This model revealed a complex relationship between the acute and chronic toxicity, i.e. a linear correlation between the acute and chronic lg(-lgEC50)s, rather than the simple EC

Indexed as

Quantitative Structure-Activity RelationshipAnti-Bacterial AgentsBacteriaMicrobial Sensitivity TestsModels, MolecularMolecular ConformationAnti-Bacterial Agents

Identifiers

PMID28729627

DOI10.1038/s41598-017-06384-9

PMCPMC5519556

OpenAlexW2735384890

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.