Evidence map›Paper›PMID 38396853›Full record

ArticleInternational journal of molecular sciences2024

Deregulated Transcriptome as a Platform for Adrenal Huntington's Disease-Related Pathology.

Anna Olechnowicz, Małgorzata Blatkiewicz, Karol Jopek, Mark Isalan, Michal Mielcarek, Marcin Rucinski

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Anna OlechnowiczDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0001-6043-5637
Małgorzata BlatkiewiczDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0001-5506-2397
Karol JopekDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-7399-0303
Mark IsalanDepartment of Life Sciences, Imperial College London, Exhibition Road, London SW7 2AZ, UK.
Michal MielcarekDepartment of Life Sciences, Imperial College London, Exhibition Road, London SW7 2AZ, UK.ORCID 0000-0002-9874-6753
Marcin RucinskiDepartment of Histology and Embryology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.ORCID 0000-0002-2525-5777

Funding

National Science Center 2020/38/E/NZ4/00020
6 · The paper itself

Abstract

Huntington's disease (HD) is a neurodegenerative disorder that affects mainly the central nervous system (CNS) by inducing progressive deterioration in both its structure and function. In recent years, there has been growing interest in the impact of HD on peripheral tissue function. Herein, we used the R6/2 mouse model of HD to investigate the influence of the disease on adrenal gland functioning. A transcriptomic analysis conducted using a well-established quantitative method, an Affymetrix array, revealed changes in gene expression in the R6/2 model compared to genetic background controls. For the first time, we identified disruptions in cholesterol and sterol metabolism, blood coagulation, and xenobiotic metabolism in HD adrenal glands. This study showed that the disrupted expression of these genes may contribute to the underlying mechanisms of Huntington's disease. Our findings may contribute to developing a better understanding of Huntington's disease progression and aid in the development of novel diagnostic or therapeutic approaches.

Indexed as

Huntington DiseaseAnimalsDisease Models, AnimalGene Expression RegulationMiceMice, TransgenicTranscriptomeadrenal glandsHuntington’s diseasemouse modeltranscriptional deregulation

Identifiers

PMID38396853
PMCPMC10888552

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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.