Evidence map›Paper›PMID 37033660›Full record

ArticleFrontiers in pharmacology2023

Multi-omics reveals hypertrophy of adipose tissue and lipid metabolism disorder

Honglin Si, Tianlin Gao, Jing Yang, Jing Zhu, Ying Han, Chengwei Li, Jianxin Wang, Jianyu Li, Yanjie Zhao, Lei Chen and 2 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Long-term exposure to PMThe Lancet regional health. Western Pacific · 2024
    Article
  6. Article
  7. PMHeliyon · 2024
    Article
  8. Environmental PMeGastroenterology · 2024
    Article
  9. Article
  10. Review
  11. 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

12 authors.

Honglin SiSchool of Public Health, Qingdao University, Qingdao, China.
Tianlin GaoSchool of Public Health, Qingdao University, Qingdao, China.
Jing YangSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Jing ZhuSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Ying HanSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Chengwei LiLinyi Center for Disease Control and Prevention, Linyi, China.
Jianxin WangSchool of Public Health, Qingdao University, Qingdao, China.
Jianyu LiSchool of Public Health, Qingdao University, Qingdao, China.
Yanjie ZhaoSchool of Public Health, Qingdao University, Qingdao, China.
Lei ChenSchool of Public Health, Qingdao University, Qingdao, China.
Yuxin ZhengSchool of Public Health, Qingdao University, Qingdao, China.
Menghui JiangSchool of Public Health, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution has become one of the most serious health risks as a result of industrialization, especially in developing countries. More attention has been drawn to the relationship between obesity/overweight and fine particulate matter (PM2.5). Especially for susceptible populations, the impact of air pollution on children and adolescents has attracted more public attentions. However, the detailed underlying mechanism influencing obesity or overweight under PM2.5 exposure is still unknown. Therefore, young mice were exposed to PM2.5 using the real-ambient exposure system that we previously established in Shijiazhuang city. Compared with the traditionally concentrated air particle (CAP) system, our real-ambient exposure system provides similar PM2.5 concentrations and characteristics as outdoor ambient air and minimizes the influence of external interfering factors. After 8 weeks of exposure to PM2.5, the weight of gonadal white adipose tissue (gWAT) and subcutaneous white adipose tissue (sWAT) was considerably increased, accompanied by a significantly enlarged size of adipocytes in sWAT. Importantly, multiomics analysis indicated altered metabolites involved in the lipid metabolism pathway, and transcriptomic analysis revealed notably changed signaling pathways related to fatty acid metabolism. Moreover, the mtDNA copy number, mitochondrial activity and fatty acid oxidation (FAO) were increased in the liver under PM2.5 exposure. Taken together, our research investigated the hypotrophy of adipose tissue in young mice, supported an imbalance in lipid metabolism based on multiomics analysis, and revealed disordered mitochondrial function under PM2.5 exposure. Our study provided new insight into the hazardous effects of air pollution, and extended our understanding on the underlying mechanism.

Indexed as

adipose tissuelipid metabolismmitochondriamultiomicsPM2.5young mice

Identifiers

PMID37033660
PMCPMC10079078

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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.