Evidence map›Paper›PMID 31572455›Full record

ArticleArchives of medical science : AMS2019

Low expression of brown and beige fat genes in subcutaneous tissues in obese patients.

Aishah Al-Amrani, Mouaadh AbdelKarim, Mohammad AlZabin, Mohammad Alzoghaibi

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 9 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

4 authors at 4 institutions in 2 countries.

Aishah Al-AmraniPhD student, Department of Physiology, Faculty of Medicine King Saud University, Riyadh, Saudi Arabia.
Mouaadh AbdelKarimDepartment of Physiopathology of Inflammatory Bone Diseases, University of the Littoral, Boulogne sur Mer, France.
Mohammad AlZabinDepartment of Surgery, Kingdom Hospital, Riyadh, Saudi Arabia.
Mohammad AlzoghaibiDepartment of Physiology, Faculty of Medicine, King Saud University, Riyadh, Saudi Arabia.
King Saud University · SARiyadh Armed Forces Hospital · SAUniversité du littoral côte d'opale · FRUniversity of Tabuk · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe molecular mechanisms behind obesity pathogenesis remain largely undefined. Impairment in the browning process of subcutaneous tissues proposed to contribute to obesity pathogenesis. In the current study, we aimed to assess whether the expression of brown fat genes in subcutaneous tissues in obese patients is altered as compared to non-obese patients. MATERIAL AND

methodsParticipants were recruited from patients undergoing general surgeries. At the same site of surgery, biopsies were taken from the abdominal subcutaneous tissues from each participant, along with a venous blood sample. The expression of BAT genes was measured using a real-time PCR method. Serum FGF21 was measured using an ELISA kit, and the serum blood lipid profile was measured using the Dimension VistaTM 1500 System.

resultsA total of 58 surgical patients was involved. A low expression of BAT genes was observed in the groups with higher body mass index (BMI) (< 30 kg/m

conclusionsOur data suggested that brown and beige genes expression in abdominal subcutaneous tissues is dysregulated in patients with obesity. Further studies are needed to investigate the role of browning of subcutaneous tissues in regulating body weight and metabolism in human.

Indexed as

CIDEACITED1TBX1uncoupling protein 1ZIC1

Identifiers

PMID31572455
PMCPMC6764296
OpenAlexW2886450513

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.