Evidence map›Paper›PMID 39974596›Full record

ArticleFrontiers in cardiovascular medicine2025

Transcriptomic signatures of subcutaneous adipose tissue in patients with diabetes and coronary artery disease: a pilot study.

Ilias P Doulamis, Bernard Pan, Aspasia Tzani, Jorge Plutzky, G William Wong, Ahmet Kilic, Risa M Wolf

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ilias P DoulamisDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Bernard PanDepartment of Pediatrics, Division of Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Aspasia TzaniDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jorge PlutzkyDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
G William WongDepartment of Physiology, Center for Metabolism and Obesity Research, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Ahmet KilicDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Risa M WolfDepartment of Pediatrics, Division of Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exact role of subcutaneous adipose tissue in the interplay between type 2 diabetes (T2D) and coronary artery disease (CAD) is yet to be determined. A prospective cohort study of adult patients with and without T2D undergoing CABG was performed. Subcutaneous adipose tissue was collected during the procedure and RNA seq analysis was performed. A total of 741 differentially expressed genes (DEGs) were identified (332 up- and 409 down-regulated in the T2D group). Our results demonstrated that pathways related to apoptosis and immune response were significantly dysregulated in the adipose tissue of T2D subjects. The main molecular pathways involved were CXCR, NOTCH, STAT, NFKB1 and FGFR pathways, which have a well-documented role in diabetes and CAD. SPI1 and MTF1 were two novel upstream transcription factors identified which have been suggested to be involved in the inflammatory cascade and insulin regulation in diabetes. Three miRNAs were differentially expressed between the two groups (miR-27a, miR-335 and miR-146). These preliminary results provide fertile ground for further research of potential targets for patients with diabetes and coronary artery disease.

Indexed as

coronary artery diseasediabetesRNA seqsubcutaneous fattranscriptome

Identifiers

PMID39974596
PMCPMC11836038

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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.