Evidence map›Paper›PMID 42907440›Full record

ArticleCell death & disease2026

Apelin-13 prevents GATA4-mediated neuronal senescence by restoring autophagy through mTORC1 inhibition.

Su Jong Han, Ji Hyeon Cho, Jae Ryong Lim, Jee Hyeon Yoon, Ji Yong Park, Han Seung Chang, Su Yeol Kim, Ha Jin Kim, Seung Gyu Lee, Se Jin Mun and 4 more

Abstract read
In one paragraph

Article in Cell death & disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Su Jong HanDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Ji Hyeon ChoDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Jae Ryong LimDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Jee Hyeon YoonDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Ji Yong ParkDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Han Seung ChangDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Su Yeol KimDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Ha Jin KimDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Seung Gyu LeeDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Se Jin MunDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Jong Hwa YunDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea.
Chang Woo ChaeDepartment of Physiology and Medical Science, College of Medicine and Brain Research Institute, Chungnam National University, Daejeon, South Korea.
Young Hyun JungDepartment of Physiology, College of Medicine, Soonchunhyang University, Cheonan, South Korea.ORCID http://orcid.org/0000-0002-2308-6308
Ho Jae HanDepartment of Veterinary Physiology, College of Veterinary Medicine, Research Institute for Veterinary Science, and BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Seoul National University, Seoul, South Korea. hjhan@snu.ac.kr.ORCID http://orcid.org/0000-0002-0657-1766

Funding

National Research Foundation of Korea (NRF) RS-2021-NR060088National Research Foundation of Korea (NRF) RS-2026-25492490
6 · The paper itself

Abstract

Neuronal senescence, triggered by oxidative stress and inflammatory responses, is a significant risk factor for brain aging, ultimately leading to cognitive decline. Apelin-13, an exercise-induced myokine, exhibits potential neuroprotective effects by the APJ system, but its protective effects against neuronal senescence and the underlying mechanisms are unknown. This study aimed to elucidate how apelin-13 prevents D-galactose-induced neuronal senescence in SH-SY5Ys, human induced pluripotent stem cell-derived neuronal differentiated cells (iPSC-NDs), and an aging mouse model. The administration of ML233, an apelin receptor APJ agonist, attenuated brain aging and cognitive impairment in D-galactose-induced aging mice. In vitro findings showed that apelin-13 failed to scavenge the excessively generated D-galactose-induced reactive oxygen species (ROS) but prevented aging through APJ-Gαq-mediated signaling in SH-SY5Y cells. Apelin-13 activated protein kinase C (PKC) and calmodulin-dependent protein kinase II (CaMKII) to phosphorylate AMPK, which led to the inhibition of mammalian target of rapamycin complex 1 (mTORC1). Inhibition of mTORC1 promoted the nuclear translocation of transcription factor EB (TFEB), restoring lysosomal function and autophagic flux impaired by D-galactose. Furthermore, D-galactose treatment increased the expression of GATA binding protein 4 (GATA4), a transcription factor that contributes to paracrine senescence by increasing the expression of pro-inflammatory cytokines. Neuronal autophagy restored by apelin-13 promoted GATA4 clearance, ultimately preventing pro-inflammatory cytokine-induced paracrine senescence under D-galactose conditions. Collectively, these results demonstrate that apelin-13 prevents neuronal senescence by inhibiting the mTORC1-GATA4 axis through the restoration of autophagy. Our study highlights apelin-13 as a promising therapeutic candidate for age-related cognitive decline by targeting the oxidative stress-inflammation-neuronal senescence axis through the modulation of autophagy.

Indexed as

AutophagyCellular SenescenceGATA4 Transcription FactorIntercellular Signaling Peptides and ProteinsMechanistic Target of Rapamycin Complex 1NeuronsAgingAnimalsGalactoseHumansInduced Pluripotent Stem CellsMiceMice, Inbred C57BLOxidative StressReactive Oxygen SpeciesSignal Transductionapelin-13 peptideGalactoseGATA4 Transcription FactorIntercellular Signaling Peptides and ProteinsMechanistic Target of Rapamycin Complex 1Reactive Oxygen Species

Identifiers

PMID42907440
PMCPMC13687016

What OpenQuestion holds

Textmetadata
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.