Evidence map›Paper›PMID 38459561›Full record

ArticleJournal of translational medicine2024

Integrated mRNA- and miRNA-sequencing analyses unveil the underlying mechanism of tobacco pollutant-induced developmental toxicity in zebrafish embryos.

Jiasheng Chen, Yuxin Lin, Deyi Gen, Wanxian Chen, Rui Han, Hao Li, Shijie Tang, Shukai Zheng, Xiaoping Zhong

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 1 institution in 1 country.

Jiasheng ChenDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Yuxin LinDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Deyi GenDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Wanxian ChenDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Rui HanDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Hao LiDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Shijie TangDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China.
Shukai ZhengDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China. 386791448@qq.com.
Xiaoping ZhongDepartment of Burns and Plastic Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, People's Republic of China. zhongxiaoping6@foxmail.com.ORCID 0000-0002-0601-031X
Shantou University · CN

Funding

Medical Science and Technology Foundation of Guangdong Province A2022192Medical Science and Technology Foundation of Guangdong Province B2023166National Natural Science Foundation of China 82002068National Natural Science Foundation of China 82272281Shantou Science and Technology Project 220811205271404Traditional Chinese Medicine Bureau of Guangdong Province 20232082
6 · The paper itself

Abstract

Tobacco pollutants are prevalent in the environment, leading to inadvertent exposure of pregnant females. Studies of these pollutants' toxic effects on embryonic development have not fully elucidated the potential underlying mechanisms. Therefore, in this study, we aimed to investigate the developmental toxicity induced by cigarette smoke extract (CSE) at concentrations of 0.25, 1, and 2.5% using a zebrafish embryo toxicity test and integrated transcriptomic analysis of microRNA (miRNA) and messenger RNA (mRNA). The findings revealed that CSE caused developmental toxicity, including increased mortality and decreased incubation rate, in a dose-dependent manner. Moreover, CSE induced malformations and apoptosis, specifically in the head and heart of zebrafish larvae. We used mRNA and miRNA sequencing analyses to compare changes in the expression of genes and miRNAs in zebrafish larvae. The bioinformatics analysis indicates that the mechanism underlying CSE-induced developmental toxicity was associated with compromised genetic material damage repair, deregulated apoptosis, and disturbed lipid metabolism. The enrichment analysis and RT-qPCR show that the ctsba gene plays a crucial function in embryo developmental apoptosis, and the fads2 gene mainly regulates lipid metabolic toxicity. The results of this study improve the understanding of CSE-induced developmental toxicity in zebrafish embryos and contribute insights into the formulation of novel preventive strategies against tobacco pollutants during early embryonic development.

Indexed as

Environmental PollutantsMicroRNAsAnimalsEmbryo, NonmammalianFemaleRNA, MessengerZebrafishEnvironmental PollutantsMicroRNAsRNA, MessengerApoptosis disorderCigarette smoke extractLipid metabolismRNA-seq

Identifiers

PMID38459561
PMCPMC10924323
OpenAlexW4392600618

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.