Evidence map›Paper›PMID 31762181›Full record

ArticleAging cell2020

MicroRNA-188 regulates aging-associated metabolic phenotype.

Yan Huang, Ye Xiao, Ya Liu, Min Guo, Qi Guo, Fangliang Zhou, Ting Liu, Tian Su, Yuzhong Xiao, Xiang-Hang Luo

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2020. 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
1.0field-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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Pulling the trigger: Noncoding RNAs in white adipose tissue browning.Reviews in endocrine & metabolic disorders · 2024
    Review
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  5. Article
  6. Review
  7. Identification ofAging · 2020
    Article
  8. Article
  9. Obesity and Bone Health: A Complex Link.Frontiers in cell and developmental biology · 2020
    Review
  10. Review
  11. Positive Effect of Gushukang on Type-H Vessel and Bone Formation.Frontiers in cell and developmental biology · 2020
    Article
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

10 authors at 2 institutions in 1 country.

Yan HuangDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Ye XiaoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Ya LiuDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Min GuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Qi GuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Fangliang ZhouDepartment of Biochemistry and Molecular Biology, Hunan University of Chinese Medicine, Changsha, China.
Ting LiuDepartment of Endocrinology, Changsha Central Hospital, Changsha, China.
Tian SuDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Yuzhong XiaoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.
Xiang-Hang LuoDepartment of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0001-6413-572X
Central South University · CNHunan University of Traditional Chinese Medicine · CN

Funding

Innovation Driven Project of Central South University 20180033040008National Natural Science Foundation of China 81520108008National Natural Science Foundation of China 81700785National Natural Science Foundation of China 81801393National Natural Science Foundation of China 81873643National Natural Science Foundation of China 81930022National Natural Science Foundation of China 91749105Natural Science Foundation of Hunan Province of China S2019JJQNJJ0681Talent Plan of Xiangya Hospital at Central South University 35Talent Plan of Xiangya Hospital at Central South University 52The Fifth Session of Science and Technology Development Program of Hunan Province in 2017 2017RS3014
6 · The paper itself

Abstract

With the increasing aging population, aging-associated diseases are becoming epidemic worldwide, including aging-associated metabolic dysfunction. However, the underlying mechanisms are poorly understood. In the present study, we aimed to investigate the role of microRNA miR-188 in the aging-associated metabolic phenotype. The results showed that the expression of miR-188 increased gradually in brown adipose tissue (BAT) and inguinal white adipose tissue (iWAT) of mice during aging. MiR-188 knockout mice were resistant to the aging-associated metabolic phenotype and had higher energy expenditure. Meanwhile, adipose tissue-specific miR-188 transgenic mice displayed the opposite phenotype. Mechanistically, we identified the thermogenic-related gene Prdm16 (encoding PR domain containing 16) as the direct target of miR-188. Notably, inhibition of miR-188 expression in BAT and iWAT of aged mice by tail vein injection of antagomiR-188 ameliorated aging-associated metabolic dysfunction significantly. Taken together, our findings suggested that miR-188 plays an important role in the regulation of the aging-associated metabolic phenotype, and targeting miR-188 could be an effective strategy to prevent aging-associated metabolic dysfunction.

Indexed as

AgingAnimalsHumansMaleMiceMice, KnockoutMicroRNAsPhenotypeTransfectionMicroRNAsMIRN188 microRNA, humanaging-associated metabolic phenotypebrown adipose tissueenergy expenditureinguinal white adipose tissueMicroRNA-188PRDM16

Identifiers

PMID31762181
PMCPMC6974730
OpenAlexW2991307762

What OpenQuestion holds

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Registered trials

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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.