Evidence map›Paper›PMID 34057223›Full record

ArticleThe Laryngoscope2021

Thyroarytenoid Muscle Gene Expression in a Rat Model of Early-Onset Parkinson's Disease.

Sarah A Lechner, Heidi Kletzien, Stephen C Gammie, Cynthia A Kelm-Nelson

Open access · greenAbstract read
In one paragraph

Article in The Laryngoscope, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. PTEN: a new dawn in Parkinson's disease treatment.Frontiers in cellular neuroscience · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Predictors of prodromal Parkinson's disease in young adultFrontiers in behavioral neuroscience · 2022
    Article
  10. 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

4 authors at 3 institutions in 1 country.

Sarah A LechnerDepartment of Surgery, Division of Otolaryngology-Head and Neck Surgery, University of Wisconsin, Madison, Wisconsin, U.S.A.
Heidi KletzienDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, U.S.A.
Stephen C GammieDepartment of Integrative Biology, University of Wisconsin, Madison, Wisconsin, U.S.A.
Cynthia A Kelm-NelsonDepartment of Surgery, Division of Otolaryngology-Head and Neck Surgery, University of Wisconsin, Madison, Wisconsin, U.S.A.ORCID 0000-0001-6670-2177
University of Wisconsin–Madison · USHarvard Stem Cell Institute · USUniversity of Wisconsin System · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Pathways, mechanisms, and treatments of vocal communication deficits in a Parkinson rat modelR01NS117469 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Cynthia A Kelm-Nelson · 2020 to 2026
$3.0M
Communication dysfunction in Parkinson disease: Integrated genetic and protein expression analysis of neural pathways to identify treatment targetsR21DC016135 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI KELM-NELSON, CYNTHIA A · 2018 to 2020
$459k
NCATS NIH HHS 1UL1TR002373 to UW ICTRNCATS NIH HHS UL1 TR002373NIDCD NIH HHS R21 DC016135NINDS NIH HHS R01 NS117469NINDS NIH HHS R01NS117469
6 · The paper itself

Abstract

objectives/hypothesisVoice disorders in Parkinson's disease (PD) are early-onset, manifest in the preclinical stages of the disease, and negatively impact quality of life. The complete loss of function in the PTEN-induced kinase 1 gene (Pink1) causes a genetic form of early-onset, autosomal recessive PD. Modeled after the human inherited mutation, the Pink1-/- rat demonstrates significant cranial sensorimotor dysfunction including declines in ultrasonic vocalizations. However, the underlying genetics of the vocal fold thyroarytenoid (TA) muscle that may contribute to vocal deficits has not been studied. The aim of this study was to identify differentially expressed genes in the TA muscle of 8-month-old male Pink1-/- rats compared to wildtype controls. STUDY

designAnimal experiment with control.

methodsHigh throughput RNA sequencing was used to examine TA muscle gene expression in adult male Pink1-/- rats and wildtype controls. Weighted Gene Co-expression Network Analysis was used to construct co-expression modules to identify biological networks, including where Pink1 was a central node. The ENRICHR tool was used to compare this gene set to existing human gene databases.

resultsWe identified 134 annotated differentially expressed genes (P < .05 cutoff) and observed enrichment in the following biological pathways: Parkinson's disease (Casp7, Pink1); Parkin-Ubiquitin proteasome degradation (Psmd12, Psmd7); MAPK signaling (Casp7, Ppm1b, Ppp3r1); and inflammatory TNF-α, Nf-κB Signaling (Casp7, Psmd12, Psmd7, Cdc34, Bcl7a, Peg3).

conclusionsGenes and pathways identified here may be useful for evaluating the specific mechanisms of peripheral dysfunction including within the laryngeal muscle and have potential to be used as experimental biomarkers for treatment development. LEVEL OF EVIDENCE: NA Laryngoscope, 131:E2874-E2879, 2021.

Indexed as

AnimalsDisease Models, AnimalGene Expression ProfilingGene Knockout TechniquesHumansLaryngeal MusclesLoss of Function MutationMaleParkinson DiseaseProtein KinasesPTEN-Induced Putative KinaseQuality of LifeRatsRats, TransgenicVocal CordsVocalization, AnimalProtein KinasesPTEN-Induced Putative Kinasegene expressionlarynxParkinson's diseaseratThyroarytenoid muscle

Identifiers

PMID34057223
PMCPMC8595495
OpenAlexW3165648664

What OpenQuestion holds

Textmetadata
LicenceTDM
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.