Evidence map›Paper›PMID 38932847›Full record

ArticleJournal of diabetes and metabolic disorders2024

The transcript level of long non-coding RNAs; MALAT1 and TUG1, and the association with metabolic syndrome-related parameters in women with overweight and obesity.

Niloufar Rasaei, Mahsa Samadi, Elnaz Daneshzad, Mohadeseh Hassan-Zadeh, Fatemeh Gholami, Mir SaeedYekaninejad, Cain C T Clark, Solaleh Emamgholipour, Khadijeh Mirzaei

Abstract read
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Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Deciphering the role ofWorld journal of hepatology · 2025
    Review
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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

9 authors.

Niloufar RasaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box:14155-6117, Tehran, Iran.
Mahsa SamadiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box:14155-6117, Tehran, Iran.
Elnaz DaneshzadNon-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Mohadeseh Hassan-ZadehDepartment of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh GholamiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box:14155-6117, Tehran, Iran.
Mir SaeedYekaninejadDepartment of Epidemiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Cain C T ClarkCentre for Healthcare and Communities, Coventry University, Coventry, CV1 5FB UK.
Solaleh EmamgholipourDepartment of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-9949-5773
Khadijeh MirzaeiDepartment of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box:14155-6117, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent studies have addressed the possible role of long non-coding RNAs Method: This cross-sectional study was conducted on 342 women with obese and overweight. We conducted assessments encompassing anthropometric measurements, body composition analysis, fasting blood sugar (FBS) levels, lipid profile analysis, insulin levels, HOMA-IR index, and liver enzyme profiling. A quantitative real-time polymerase chain reaction (PCR) was used to evaluate transcript levels of MALAT1 and TUG1. Also, a 147-question semi-quantitative food frequency questionnaire (FFQ) and the International Physical Activity Questionnaire (IPAQ) were used to evaluate food intake and physical activity, respectively. Results: There was a significant association between FBS and MALAT1 transcript level (β: 0.382; 95% CI: 0.124, 0.640; Conclusions: Our findings indicated positive associations between mRNA levels of MALAT1 and MetS-related parameters, including FBG, TG, HDL, and systolic blood pressure in overweight and obese women. However, large prospective studies are needed to further establish this concept. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01367-2.

Indexed as

Long non-coding RNAsMALAT1Metabolic syndromeObesityTUG1

Identifiers

PMID38932847
PMCPMC11196568

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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.