Evidence map›Paper›PMID 39668579›Full record

ReviewAging cell2025

Organellar quality control crosstalk in aging-related disease: Innovation to pave the way.

Yu Li, Jinxin Qi, Linhong Guo, Xian Jiang, Gu He

Abstract readReview
In one paragraph

Review in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Yu LiDepartment of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, China.
Jinxin QiDepartment of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, China.
Linhong GuoDepartment of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, China.
Xian JiangDepartment of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, China.
Gu HeDepartment of Dermatology & Venerology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-1536-8882

Funding

China Postdoctoral Science FoundationNational Natural Science Foundation of China 22177084, 82273559Postdoc project of West China Hospital, Sichuan UniversitySichuan Province Science and Technology Plan Project 2023NSFSC1546
6 · The paper itself

Abstract

Organellar homeostasis and crosstalks within a cell have emerged as essential regulatory and determining factors for the survival and functions of cells. In response to various stimuli, cells can activate the organellar quality control systems (QCS) to maintain homeostasis. Numerous studies have demonstrated that dysfunction of QCS can lead to various aging-related diseases such as neurodegenerative, pulmonary, cardiometabolic diseases and cancers. However, the interplay between QCS and their potential role in these diseases are poorly understood. In this review, we present an overview of the current findings of QCS and their crosstalk, encompassing mitochondria, endoplasmic reticulum, Golgi apparatus, ribosomes, peroxisomes, lipid droplets, and lysosomes as well as the aberrant interplays among these organelles that contributes to the onset and progression of aging-related disorders. Furthermore, potential therapeutic approaches based on these quality control interactions are discussed. Our perspectives can enhance insights into the regulatory networks underlying QCS and the pathology of aging and aging-related diseases, which may pave the way for the development of novel therapeutic targets.

Indexed as

AgingOrganellesAnimalsHumansaging‐related diseasescellular organellecrosstalkquality control

Identifiers

PMID39668579
PMCPMC11709098

What OpenQuestion holds

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LicenceCC BY
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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.