Evidence map›Paper›PMID 35902493›Full record

ArticleWorld journal of pediatrics : WJP2022

Association between new onset type 1 diabetes and real-world antibiotics and neonicotinoids' exposure-related gut microbiota perturbation.

Zhen-Ran Xu, Xiao-Xiao Yuan, Rui-Min Chen, Hai-Yan Wei, Lin-Qi Chen, Hong-Wei Du, Gui-Mei Li, Yu Yang, Xiao-Juan Chen, Xin Fang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in World journal of pediatrics : WJP, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.3field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

11 authors at 7 institutions in 1 country.

Zhen-Ran XuDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China.
Xiao-Xiao YuanDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China.
Rui-Min ChenFuzhou Children's Hospitai of Fujian Medical University, Fuzhou, China.
Hai-Yan WeiDepartment of Endocrinology and Inherited Metabolic, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Lin-Qi ChenChildren's Hospital of Soochow University, Suzhou, China.
Hong-Wei DuThe First Hospital of Jilin University, Changchun, Jilin, China.
Gui-Mei LiDepartment of Pediatric Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yu YangThe Affiliated Children's Hospital of Nanchang University, Nanchang, China.
Xiao-Juan ChenDepartment of Endocrinology, Genetics and Metabolism, The Children's Hospital of Shanxi Province, Taiyuan, China.
Xin FangFujian Medical University Union Hospital, Fuzhou, China.
Fei-Hong LuoDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, 399 Wan Yuan Road, Shanghai, 201102, China. luo_fh@163.com.
Children's Hospital of Fudan University · CNFujian Medical University · CNJilin University · CNNanchang University · CNShandong Provincial Hospital · CNSoochow University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe real-world exposure levels of non-therapeutic antibiotics and neonicotinoids in type 1 diabetes (T1D) children and their associations as environmental triggers through gut microbiota shifts remained unknown. We thus investigated the antibiotics and neonicotinoids' exposure levels and their associations with gut microbiota in pediatric T1D.

methodsFifty-one newly onset T1D children along with 67 age-matched healthy controls were recruited. Urine concentrations of 28 antibiotics and 12 neonicotinoids were measured by mass spectrometry. Children were grouped according to the kinds of antibiotics' and neonicotinoids' exposures, respectively. The 16S rRNA of fecal gut microbiota was sequenced, and the correlation with urine antibiotics and neonicotinoids' concentrations was analyzed.

resultsThe overall detection rates of antibiotics were 72.5% and 61.2% among T1D and healthy children, whereas the neonicotinoids detection rates were 70.6% and 52.2% (P = 0.044). Children exposed to one kind of antibiotic or two or more kinds of neonicotinoids had higher risk of T1D, with the odd ratios of 2.579 and 3.911. Furthermore, co-exposure to antibiotics and neonicotinoids was associated with T1D, with the odd ratio of 4.924. Antibiotics or neonicotinoids exposure did not affect overall richness and diversity of gut microbiota. However, children who were exposed to neither antibiotics nor neonicotinoids had higher abundance of Lachnospiraceae than children who were exposed to antibiotics and neonicotinoids alone or together.

conclusionHigh antibiotics and neonicotinoids exposures were found in T1D children, and they were associated with changes in gut microbiota featured with lower abundance of butyrate-producing genera, which might increase the risk of T1D.

Indexed as

Diabetes Mellitus, Type 1Gastrointestinal MicrobiomeAnti-Bacterial AgentsButyratesChildHumansNeonicotinoidsRNA, Ribosomal, 16SAnti-Bacterial AgentsButyratesNeonicotinoidsRNA, Ribosomal, 16SAntibioticsGut microbiotaNeonicotinoidsType 1 diabetes mellitus

Identifiers

PMID35902493
PMCPMC9485179
OpenAlexW4288700349

What OpenQuestion holds

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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.