Evidence map›Paper›PMID 34537942›Full record

ArticleEnvironmental science and pollution research international2022

The combined toxicity of binary mixtures of antibiotics against the cyanobacterium Microcystis is dose-dependent: insight from a theoretical nonlinear combined toxicity assessment method.

Yeyong Wang, Cheng Gao, Zhi Qu, Ming Li

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
0.4field-weighted citation impact, top 48% 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, 14 citations in OpenAlex.

  1. Multidrug-ResistantPathogens (Basel, Switzerland) · 2024
    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

4 authors at 1 institution in 1 country.

Yeyong WangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China.
Cheng GaoCollege of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China.
Zhi QuCollege of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China. zhiqu_nwafu@163.com.
Ming LiCollege of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China.
Northwest A&F University · CN

Funding

Natural Science Basic Research Program of Shaanxi 2018JM4021
6 · The paper itself

Abstract

The entry of antibiotics into aquatic ecosystems has a serious impact. Antibiotics usually exist as mixtures in natural water bodies. Therefore, it is particularly important to evaluate the mixed toxicity of antibiotic mixtures. The study of the combined toxicity of binary mixtures of antibiotics is the basis for exploring the mixed toxicity of multiple antibiotics. In this investigation, Microcystis aeruginosa (M. aeruginosa) was used as the test organism, and a theoretical nonlinear combined toxicity assessment method was adopted to evaluate the effects of binary mixtures of antibiotics consisting of tetracycline (TC), sulfadiazine (SD), and sulfamethoxazole (SMX) on cell growth, enzymatic activity, and gene expression. The median lethal concentrations of TC, SD, and SMX to M. aeruginosa were 0.52 mg L

Indexed as

CyanobacteriaMicrocystisAnti-Bacterial AgentsEcosystemSulfamethoxazoleAnti-Bacterial AgentsSulfamethoxazoleA theoretical nonlinear combined toxicity assessment methodBinary mixtures of antibioticsEnzymatic activityGene expressionMicrocystis aeruginosa

Identifiers

PMID34537942
OpenAlexW3199866738

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.