Evidence map›Paper›PMID 34440082›Full record

ArticleBiomedicines2021

Childhood Obesity-Related Mechanisms: MicroRNome and Transcriptome Changes in a Nested Case-Control Study.

Jin Hee Kim, Da Hae Kim, Youn-Hee Lim, Choong Ho Shin, Young Ah Lee, Bung-Nyun Kim, Johanna Inhyang Kim, Yun-Chul Hong

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
  2. Article
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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

8 authors at 3 institutions in 1 country.

Jin Hee KimDepartment of Integrative Bioscience & Biotechnology, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.ORCID 0000-0003-1204-7079
Da Hae KimDepartment of Integrative Bioscience & Biotechnology, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.ORCID 0000-0002-5843-3875
Youn-Hee LimInstitute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea.
Choong Ho ShinDepartment of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0002-9813-1134
Young Ah LeeDepartment of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0001-9179-1247
Bung-Nyun KimDivision of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0002-2403-3291
Johanna Inhyang KimDepartment of Psychiatry, Hanyang University Medical Center, Seoul 04763, Korea.ORCID 0000-0002-2367-0934
Yun-Chul HongInstitute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 03080, Korea.
Seoul National University · KRSejong University · KRSeoul National University Hospital · KR

Funding

Ministry of Food and Drug Safety 18162MFDS121National Research Foundation of Korea 2016R1D1A1B03932315
6 · The paper itself

Abstract

Childhood obesity could contribute to adulthood obesity, leading to adverse health outcomes in adults. However, the mechanisms for how obesity is developed are still unclear. To determine the epigenome-wide and genome-wide expression changes related with childhood obesity, we compared microRNome and transcriptome levels as well as leptin protein levels in whole bloods of 12 obese and 24 normal children aged 6 years. miR-328-3p, miR-1301-3p, miR-4685-3p, and miR-6803-3p were negatively associated with all obesity indicators. The four miRNAs were also associated with 3948 mRNAs, and separate 475 mRNAs (185 among 3948 mRNAs) were associated with all obesity indicators. The 2533 mRNAs (64.2%) among the 3948 mRNAs and 286 mRNAs (60.2%) among the 475 mRNAs were confirmed as targets of the four miRNAs in public databases through miRWalk 2.0. Leptin protein was associated with miR-6803-3p negatively and all obesity indicators positively. Using DAVID bioinformatics resources 6.8, top three pathways for obesity-related gene set were metabolic pathways, pathways in cancer, and PI3K-Akt signaling pathway. The top three obesity-related disease classes were metabolic, cardiovascular, and chemdependency. Our results support that childhood obesity could be developed through miRNAs-related epigenetic mechanism and, further, these obesity-related epigenetic changes could control the pathways related with the development of various diseases.

Indexed as

childrendisease classmiRNAmRNAobesityomicspathway

Identifiers

PMID34440082
PMCPMC8389653
OpenAlexW3185529963

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.