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

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Standard

Childhood Obesity-Related Mechanisms : MicroRNome and Transcriptome Changes in a Nested Case-Control Study. / Kim, Jin Hee; Kim, Da Hae; Lim, Youn-Hee; Shin, Choong Ho; Lee, Young Ah; Kim, Bung-Nyun; Kim, Johanna Inhyang; Hong, Yun-Chul.

I: Biomedicines, Bind 9, Nr. 8, 23.07.2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kim, JH, Kim, DH, Lim, Y-H, Shin, CH, Lee, YA, Kim, B-N, Kim, JI & Hong, Y-C 2021, 'Childhood Obesity-Related Mechanisms: MicroRNome and Transcriptome Changes in a Nested Case-Control Study', Biomedicines, bind 9, nr. 8. https://doi.org/10.3390/biomedicines9080878

APA

Kim, J. H., Kim, D. H., Lim, Y-H., Shin, C. H., Lee, Y. A., Kim, B-N., Kim, J. I., & Hong, Y-C. (2021). Childhood Obesity-Related Mechanisms: MicroRNome and Transcriptome Changes in a Nested Case-Control Study. Biomedicines, 9(8). https://doi.org/10.3390/biomedicines9080878

Vancouver

Kim JH, Kim DH, Lim Y-H, Shin CH, Lee YA, Kim B-N o.a. Childhood Obesity-Related Mechanisms: MicroRNome and Transcriptome Changes in a Nested Case-Control Study. Biomedicines. 2021 jul. 23;9(8). https://doi.org/10.3390/biomedicines9080878

Author

Kim, Jin Hee ; Kim, Da Hae ; Lim, Youn-Hee ; Shin, Choong Ho ; Lee, Young Ah ; Kim, Bung-Nyun ; Kim, Johanna Inhyang ; Hong, Yun-Chul. / Childhood Obesity-Related Mechanisms : MicroRNome and Transcriptome Changes in a Nested Case-Control Study. I: Biomedicines. 2021 ; Bind 9, Nr. 8.

Bibtex

@article{a343f591111349c5aaed6391b088c89a,
title = "Childhood Obesity-Related Mechanisms: MicroRNome and Transcriptome Changes in a Nested Case-Control Study",
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.",
author = "Kim, {Jin Hee} and Kim, {Da Hae} and Youn-Hee Lim and Shin, {Choong Ho} and Lee, {Young Ah} and Bung-Nyun Kim and Kim, {Johanna Inhyang} and Yun-Chul Hong",
year = "2021",
month = jul,
day = "23",
doi = "10.3390/biomedicines9080878",
language = "English",
volume = "9",
journal = "Biomedicines",
issn = "2227-9059",
publisher = "M D P I AG",
number = "8",

}

RIS

TY - JOUR

T1 - Childhood Obesity-Related Mechanisms

T2 - MicroRNome and Transcriptome Changes in a Nested Case-Control Study

AU - Kim, Jin Hee

AU - Kim, Da Hae

AU - Lim, Youn-Hee

AU - Shin, Choong Ho

AU - Lee, Young Ah

AU - Kim, Bung-Nyun

AU - Kim, Johanna Inhyang

AU - Hong, Yun-Chul

PY - 2021/7/23

Y1 - 2021/7/23

N2 - 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.

AB - 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.

U2 - 10.3390/biomedicines9080878

DO - 10.3390/biomedicines9080878

M3 - Journal article

C2 - 34440082

VL - 9

JO - Biomedicines

JF - Biomedicines

SN - 2227-9059

IS - 8

ER -

ID: 279200183