Evidence map›Paper›PMID 38275601›Full record

ArticleGenes2023

Comparative Analysis of Transcriptome Profiles in Patients with Thromboangiitis Obliterans.

Gözde Öztan, Nilgün Bozbuğa, Halim İşsever, Fatma Oğuz, İrem Canıaz, Nilgün Yazıksız, Melike Ertan, İbrahim Ufuk Alpagut

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Gözde ÖztanDepartment of Medical Biology, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.ORCID 0000-0002-2970-1834
Nilgün BozbuğaDepartment of Cardiovascular Surgery, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.
Halim İşseverDepartment of Public Health, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.ORCID 0000-0002-5435-706X
Fatma OğuzDepartment of Medical Biology, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.
İrem CanıazDepartment of Cardiovascular Surgery, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.
Nilgün YazıksızDepartment of Cardiovascular Surgery, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.ORCID 0000-0003-1218-6538
Melike ErtanDepartment of Cardiovascular Surgery, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.
İbrahim Ufuk AlpagutDepartment of Cardiovascular Surgery, Istanbul Faculty of Medicine, Istanbul University, Topkapi, 34093 Istanbul, Turkey.ORCID 0000-0001-6052-2773
Istanbul University · TR

Funding

Istanbul University Scientific Research Projects Coordination Unit TAB-2021-37979
6 · The paper itself

Abstract

backgroundThromboangiitis obliterans (TAO) causes vascular insufficiency due to chronic inflammation and abrupt thrombosis of the medium and small arteries of the extremities. In our study, we aimed to determine biomarkers for the diagnosis of TAO by evaluating 15 male TAO patients with Shinoya diagnostic criteria and 5 healthy controls who did not have TAO-related symptoms in their family histories.

methodsThe Clariom D Affymetrix platform was used to conduct microarray analysis on total RNA extracted from whole blood. A total of 477 genes (FC ≤ 5 or >5) common to the fifteen patient and five control samples were selected using comparative microarray analysis; among them, 79 genes were upregulated and 398 genes were downregulated.

resultsAccording to FC ≤ 10 or >10, in the same TAO patient and control group, 13 genes out of 28 were upregulated, whereas 15 genes were downregulated. The 11 key genes identified according to their mean log2FC values were

conclusionsBy figuring out the protein expression levels of the genes that have been found to explain how TAO disease works at the molecular level, it will be possible to figure out how well these chosen transcripts can diagnose and predict the disease.

Indexed as

Thromboangiitis ObliteransBiomarkersExtremitiesForminsHumansMaleSignal TransductionTranscriptomeBiomarkersFMNL1 protein, humanForminsBuerger’s diseaseClariom D arraydiagnostic markersgenesmicroarray analysisTAO

Identifiers

PMID38275601
PMCPMC10815726
OpenAlexW4390048836

What OpenQuestion holds

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LicenceCC BY
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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.