Evidence map›Paper›PMID 32765820›Full record

ArticleNutrition research and practice2020

Circulating microRNA expression profiling in young obese Korean women.

Won Hee Choi, Jiyun Ahn, Min Young Um, Chang Hwa Jung, Sung Eun Jung, Tae Youl Ha

Open access · diamondAbstract read
In one paragraph

Article in Nutrition research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Won Hee ChoiDivision of Food Functionality Research, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-0115-0919
Jiyun AhnDivision of Food Functionality Research, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-5930-2957
Min Young UmDivision of Food Functionality Research, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-8448-8837
Chang Hwa JungDivision of Food Functionality Research, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0002-1076-750X
Sung Eun JungDepartments of Nursing and Dental Hygiene, Andong Science College, Andong 36616, Korea.ORCID https://orcid.org/0000-0001-6154-3437
Tae Youl HaDivision of Food Functionality Research, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-7583-9490
Korea Food Research Institute · KRAndong Science University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThis study investigates correlations between circulating microRNAs (miRNAs) and obesity-related parameters among young women (aged 20-30 years old) in Korea. SUBJECTS/

methodsWe analyzed TaqMan low density arrays (TLDAs) of circulating miRNAs in 9 lean (body mass index [BMI] < 25 kg/m

resultsThe TLDA cards contain 754 human miRNAs; of these, the levels of 8 circulating miRNAs significantly declined (> 2-fold) in obese subjects compared with those in lean subjects, including miR-1227, miR-144-5p, miR-192, miR-320, miR-320b, miR-484, miR-324-3p, and miR-378. Among them, miR-484 and miR-378 displayed the most significant inverse correlations with BMI (miR-484, r = -0.5484,

conclusionOur result showed the differentially expressed circulating miRNAs in obese subjects compared to lean subjects. Although the mechanistic study to reveal the causal role of miRNAs remains, these miRNAs may be novel biomarkers for obesity.

Indexed as

gene ontologyhumansmicroRNAsobesity

Identifiers

PMID32765820
PMCPMC7390734
OpenAlexW3023056509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.