Evidence map›Paper›PMID 32949996›Full record

ArticleEBioMedicine2020

Autophagy induction promotes renal cyst growth in polycystic kidney disease.

Eun Ji Lee, Je Yeong Ko, Sumin Oh, Jaehee Jun, Hyowon Mun, Chae Ji Lim, Seungwoon Seo, Hyuk Wan Ko, Hyunho Kim, Yun Kyu Oh and 6 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Autosomal Dominant Polycystic Kidney Disease: Is There a Role for Autophagy?International journal of molecular sciences · 2023
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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

16 authors at 6 institutions in 1 country.

Eun Ji LeeDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Je Yeong KoDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Sumin OhDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Jaehee JunDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Hyowon MunDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Chae Ji LimDepartment of Biology, Ewha Womans University, Seoul 03760, Republic of Korea.
Seungwoon SeoDepartment of Biology, Ewha Womans University, Seoul 03760, Republic of Korea.
Hyuk Wan KoDepartment of Biochemistry, Yonsei University, Seoul 03722, Republic of Korea.
Hyunho KimCenter for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul 03082, Republic of Korea.
Yun Kyu OhDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul 07061, Republic of Korea.
Curie AhnDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Minyong KangDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
Min Jung KimDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Kyung Hyun YooDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea.
Goo Taeg OhDepartment of Biology, Ewha Womans University, Seoul 03760, Republic of Korea. Electronic address: gootaeg@ewha.ac.kr.
Jong Hoon ParkDepartment of Biological Science, Sookmyung Women's University, Seoul 04310, Republic of Korea. Electronic address: parkjh@sookmyung.ac.kr.
Sookmyung Women's University · KREwha Womans University · KRSeoul National University · KRSamsung Medical Center · KRSeoul National University Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic kidney disease (PKD) involves renal cysts arising from proliferating tubular cells. Autophagy has been recently suggested as a potential therapeutic target in PKD, and mammalian target of rapamycin (mTOR) is a key negative regulator of autophagy. However, the effect of autophagy regulation on cystogenesis has not been elucidated in PKD mice.

methodsClinical validation was performed using GEO datasets and autosomal dominant polycystic kidney disease (ADPKD) patient samples. Newly established PKD and LC3 transgenic mice were used for in vivo verifications, and additional tests were performed in vitro and in vivo using multiple autophagy drugs.

findingsNeither autophagy stimulation nor LC3 overexpression alleviated PKD. Furthermore, we observed the inhibitory effect of an autophagy inhibitor on cysts, indicating its possible therapeutic use in a specific group of patients with ADPKD.

interpretationOur findings provide a novel insight into the pathogenesis related to autophagy in PKD, suggesting that drugs related to autophagy regulation should be considered with caution for treating PKD. FUNDING SOURCES: This work was supported by grants from the Bio & Medical Technology Development Program; the Collaborative Genome Program for Fostering New Post-Genome Industry of the NRF; the Basic Science Program.

Indexed as

AutophagyAnimalsCell LineComputational BiologyCystsDisease Models, AnimalDisease SusceptibilityExtracellular Signal-Regulated MAP KinasesGene Expression ProfilingGenetic Predisposition to DiseaseHumansMiceMice, TransgenicPhosphorylationPolycystic Kidney DiseasesSignal TransductionExtracellular Signal-Regulated MAP KinasesMTOR protein, humanTOR Serine-Threonine KinasesAutophagyIft46PKDPolycystic kidney

Identifiers

PMID32949996
PMCPMC7501056
OpenAlexW3087131855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.