Evidence map›Paper›PMID 38284836›Full record

ArticleJournal of neuroscience research2024

A phenotypically robust model of spinal and bulbar muscular atrophy in Drosophila.

Kristin Richardson, Medha Sengupta, Alyson Sujkowski, Kozeta Libohova, Autumn C Harris, Robert Wessells, Diane E Merry, Sokol V Todi

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroscience research, 2024. 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
0.7field-weighted citation impact, top 32% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Decoding Nucleotide Repeat Expansion Diseases: Novel Insights fromInternational journal of molecular sciences · 2024
    Review
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 2 institutions in 1 country.

Kristin RichardsonDepartment of Physiology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID 0000-0002-9146-8017
Medha SenguptaDepartment of Biochemistry and Molecular Biology, Thomas Jefferson University Sidney Kimmel Medical College, Philadelphia, Pennsylvania, USA.
Alyson SujkowskiDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID 0000-0002-9909-9279
Kozeta LibohovaDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Autumn C HarrisDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Robert WessellsDepartment of Physiology, Wayne State University School of Medicine, Detroit, Michigan, USA.
Diane E MerryDepartment of Biochemistry and Molecular Biology, Thomas Jefferson University Sidney Kimmel Medical College, Philadelphia, Pennsylvania, USA.
Sokol V TodiDepartment of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA.ORCID 0000-0003-4399-5549
Wayne State University · USThomas Jefferson University · US

Funding

Protection against Alzheimer's Disease proteins by novel ubiquitin processesR01NS086778 · NINDS · WAYNE STATE UNIVERSITY · PI Sokol Todi · 2014 to 2026
$4.9M
Octpamine controls adaptation to endurance exercise in DrosophilaR01AG059683 · NIA · WAYNE STATE UNIVERSITY · PI Robert John Wessells · 2018 to 2026
$3.0M
The Role of the AR Interactome in SBMAR01NS108114 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI MERRY, DIANE E · 2018 to 2022
$2.0M
Detroit Cardiovascular Training ProgramT32HL120822 · NHLBI · WAYNE STATE UNIVERSITY · PI LEVY, PHILLIP DAVID · 2014 to 2023
$1.8M
MARC at Wayne State UniversityT34GM140932 · NIGMS · WAYNE STATE UNIVERSITY · PI ALLEN, MATTHEW J, PILE, LORI A · 2021 to 2024
$1.6M
Exercise-dependent mechanisms of protection in polyglutamine degenerationR21NS121276 · NINDS · WAYNE STATE UNIVERSITY · PI TODI, SOKOL, WESSELLS, ROBERT JOHN · 2021 to 2021
$424k
NHLBI NIH HHS T32 HL120822NIA NIH HHS R01 AG059683NIGMS NIH HHS T34 GM140932NINDS NIH HHS R01 NS086778NINDS NIH HHS R01 NS108114NINDS NIH HHS R21 NS121276
6 · The paper itself

Abstract

Spinal and bulbar muscular atrophy (SBMA) is an X-linked disorder that affects males who inherit the androgen receptor (AR) gene with an abnormal CAG triplet repeat expansion. The resulting protein contains an elongated polyglutamine (polyQ) tract and causes motor neuron degeneration in an androgen-dependent manner. The precise molecular sequelae of SBMA are unclear. To assist with its investigation and the identification of therapeutic options, we report here a new model of SBMA in Drosophila melanogaster. We generated transgenic flies that express the full-length, human AR with a wild-type or pathogenic polyQ repeat. Each transgene is inserted into the same safe harbor site on the third chromosome of the fly as a single copy and in the same orientation. Expression of pathogenic AR, but not of its wild-type variant, in neurons or muscles leads to consistent, progressive defects in longevity and motility that are concomitant with polyQ-expanded AR protein aggregation and reduced complexity in neuromuscular junctions. Additional assays show adult fly eye abnormalities associated with the pathogenic AR species. The detrimental effects of pathogenic AR are accentuated by feeding flies the androgen, dihydrotestosterone. This new, robust SBMA model can be a valuable tool toward future investigations of this incurable disease.

Indexed as

Bulbo-Spinal Atrophy, X-LinkedDrosophilaAdultAndrogensAnimalsDrosophila melanogasterHumansMaleMuscular AtrophyAndrogensgeneticsmuscleneuronpolyglutaminetriplet repeat

Identifiers

PMID38284836
PMCPMC11237963
OpenAlexW4389482519

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.