Evidence map›Paper›PMID 37543644›Full record

ArticleScientific reports2023

Comparative proteomics in captive giant pandas to identify proteins involved in age-related cataract formation.

Yuyan You, Chao Bai, Wei Wang, Tongtong Zhan, Xin Hu, Feier Hao, Maohua Xia, Yan Liu, Tao Ma, Yanhui Liu and 16 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
0.2field-weighted citation impact, top 41% 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, 1 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

26 authors at 2 institutions in 1 country.

Yuyan You *Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China. youyy351@163.com.
Chao Bai *Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China.
Wei Wang *Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China.
Tongtong ZhanBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China.
Xin HuBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China.
Feier HaoBeijing Zoo, Beijing, China.
Maohua XiaBeijing Zoo, Beijing, China.
Yan LiuBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China.
Tao MaBeijing Zoo, Beijing, China.
Yanhui LiuBeijing Zoo, Beijing, China.
Changming ZhengBeijing Zoo, Beijing, China.
Tianchun PuBeijing Zoo, Beijing, China.
Yizhuo ZhangBeijing Zoo, Beijing, China.
Yanping LuBeijing Zoo, Beijing, China.
Nan DingBeijing Zoo, Beijing, China.
Jing LiBeijing Zoo, Beijing, China.
Yanqiang YinChongqing Zoo, Chongqing, China.
Yucun ChenStrait (Fuzhou) Giant Panda Research and Exchange Centers, Fuzhou, China.
Liqin WangChengdu Zoo, Chengdu, China.
Jun ZhouChongqing Zoo, Chongqing, China.
Lili NiuChengdu Zoo, Chengdu, China.
Yunfang XiuStrait (Fuzhou) Giant Panda Research and Exchange Centers, Fuzhou, China.
Yan LuBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China. luyan242@aliyun.com.
Ting JiaBeijing Zoo, Beijing, China. jiating_2005@163.com.
Xuefeng LiuBeijing Zoo, Beijing, China. lxf9722@163.com.
Chenglin ZhangBeijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China. zhch6465@263.net.
Guangzhou Zoo · CNChongqing Academy of Animal Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 20% of aged captive giant pandas (Ailuropoda melanoleuca) have cataracts that impair their quality of life. To identify potential biomarkers of cataract formation, we carried out a quantitative proteomics analysis of 10 giant pandas to find proteins differing in abundance between healthy and cataract-bearing animals. We identified almost 150 proteins exceeding our threshold for differential abundance, most of which were associated with GO categories related to extracellular localization. The most significant differential abundance was associated with components of the proteasome and other proteins with a role in proteolysis or its regulation, most of which were depleted in pandas with cataracts. Other modulated proteins included components of the extracellular matrix or cytoskeleton, as well as associated signaling proteins and regulators, but we did not find any differentially expressed transcription factors. These results indicate that the formation of cataracts involves a complex post-transcriptional network of signaling inside and outside lens cells to drive stress responses as a means to address the accumulation of protein aggregates triggered by oxidative damage. The modulated proteins also indicate that it should be possible to predict the onset of cataracts in captive pandas by taking blood samples and testing them for the presence or absence of specific protein markers.

Indexed as

CataractUrsidaeAnimalsProteomicsQuality of Life

Identifiers

PMID37543644
PMCPMC10404263
OpenAlexW4385606475

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.