Evidence map›Paper›PMID 35031662›Full record

ArticleScientific reports2022

A mutation in transmembrane protein 135 impairs lipid metabolism in mouse eyecups.

Michael Landowski, Vijesh J Bhute, Tetsuya Takimoto, Samuel Grindel, Pawan K Shahi, Bikash R Pattnaik, Sakae Ikeda, Akihiro Ikeda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
1.2field-weighted citation impact, top 23% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors at 3 institutions in 2 countries.

Michael Landowski *Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Vijesh J Bhute *Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Tetsuya TakimotoDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Samuel GrindelDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Pawan K ShahiDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Bikash R PattnaikDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Sakae IkedaDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA.
Akihiro IkedaDepartment of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA. aikeda@wisc.edu.
University of Wisconsin–Madison · USSmith-Kettlewell Eye Research Institute · USImperial College London · GB

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI AMY TRENTHAM-DIETZ · 1985 to 2026
$142.6M
UW Vision Research Core - Administrative CoreP30EY016665 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI ROBERT W NICKELLS · 2005 to 2026
$12.6M
Molecular Genetics of Age-Dependent Retinal DegenerationR01EY022086 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI AKIHIRO IKEDA · 2012 to 2026
$6.1M
Molecular Therapies for Lebers Congenital Amaurosis Caused by KCNJ13 MutationsR01EY024995 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI PATTNAIK, BIKASH RANJAN · 2015 to 2018
$1.5M
Vision Research Training ProgramT32EY027721 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI ROBERT W NICKELLS · 2018 to 2026
$1.5M
Automated Tissue MicroarrayerS10OD023526 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI MATKOWSKYJ, KRISTINA A. · 2018 to 2018
$184k
The Function of Transmembrane Protein 135 in Retinal Pigmented EpitheliumF32EY032766 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI LANDOWSKI, MICHAEL · 2021 to 2022
$117k
NCI NIH HHS P30 CA014520NEI NIH HHS F32 EY032766NEI NIH HHS P30 EY016665NEI NIH HHS R01 EY022086NEI NIH HHS R01EY022086NEI NIH HHS R01 EY024995NEI NIH HHS R01EY024995NEI NIH HHS T32 EY027721NEI NIH HHS T32EY027721NIH HHS S10 OD023526
6 · The paper itself

Abstract

Aging is a significant factor in the development of age-related diseases but how aging disrupts cellular homeostasis to cause age-related retinal disease is unknown. Here, we further our studies on transmembrane protein 135 (Tmem135), a gene involved in retinal aging, by examining the transcriptomic profiles of wild-type, heterozygous and homozygous Tmem135 mutant posterior eyecup samples through RNA sequencing (RNA-Seq). We found significant gene expression changes in both heterozygous and homozygous Tmem135 mutant mouse eyecups that correlate with visual function deficits. Further analysis revealed that expression of many genes involved in lipid metabolism are changed due to the Tmem135 mutation. Consistent with these changes, we found increased lipid accumulation in mutant Tmem135 eyecup samples. Since mutant Tmem135 mice have similar ocular pathologies as human age-related macular degeneration (AMD) eyes, we compared our homozygous Tmem135 mutant eyecup RNA-Seq dataset with transcriptomic datasets of human AMD donor eyes. We found similar changes in genes involved in lipid metabolism between the homozygous Tmem135 mutant eyecups and AMD donor eyes. Our study suggests that the Tmem135 mutation affects lipid metabolism as similarly observed in human AMD eyes, thus Tmem135 mutant mice can serve as a good model for the role of dysregulated lipid metabolism in AMD.

Indexed as

MutationAnimalsDisease Models, AnimalEyeHumansLipid MetabolismMacular DegenerationMembrane ProteinsMiceMice, Mutant StrainsMitochondrial ProteinsMembrane ProteinsMitochondrial ProteinsTmem135 protein, mouse

Identifiers

PMID35031662
PMCPMC8760256
OpenAlexW4206244144

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.