Evidence map›Paper›PMID 32447340›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Long Non-Coding RNA (LncRNA)-ATB Promotes Inflammation, Cell Apoptosis and Senescence in Transforming Growth Factor-β1 (TGF-β1) Induced Human Kidney 2 (HK-2) Cells via TGFβ/SMAD2/3 Signaling Pathway.

Han Sun, Cong Ke, Lin Zhang, Changjun Tian, Zhihui Zhang, Shuhua Wu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Review
  7. Kidney Aging and Chronic Kidney Disease.International journal of molecular sciences · 2024
    Review
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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

6 authors at 2 institutions in 1 country.

Han SunDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Cong KeDepartment of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Lin ZhangDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Changjun TianDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Zhihui ZhangDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Shuhua WuDepartment of Geriatrics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (mainland).
Soochow University · CNSecond Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Renal fibrosis occurs in the end-stage of all chronic kidney disease. Transforming growth factor-ß1 (TGF-ß1) is a central contributor in fibrosis. Identifying effective biomarkers that targets TGF-ß1 is necessary for the development of therapeutic agents for kidney disease. In this study, we investigated the effects and mechanism of long non-coding RNA (LncRNA)-ATB in TGF-ß1 induced human kidney 2 (HK-2) cells. MATERIAL AND METHODS We investigated the effects of either overexpression or knockdown of LncRNA-ATB on inflammation, cell apoptosis, and senescence in TGF-ß1 induced HK-2 cells. TGF-ß1 induced HK-2 cells served as the cell model. The gene level was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and protein expressions by western blot. Cell Counting Kit-8 (CCK-8) assay was performed for assessment of cell viability. Flow cytometry was applied for detection of cell apoptosis. Tumor necrosis factor (TNF)-alpha, interleukin (IL)-1ß, and IL-6 were measured by corresponding kits. RESULTS LncRNA-ATB was highly expressed in TGF-ß1 induced HK-2 cells. Inflammation, cell apoptosis, and senescence were enhanced by TGF-ß1 and these effects were all reduced by knockdown of LncRNA-ATB. Whereas overexpression of LncRNA-ATB had the opposite effects with knockdown of LncRNA-ATB. The TGFß/SMAD2/3 signaling pathway was activated by TGF-ß1 and this effect was further enhanced by LncRNA-ATB overexpression. Silencing LncRNA-ATB inhibited the TGFß/SMAD2/3 signaling pathway in TGF-ß1 induced cells. The effects of LncRNA-ATB overexpression aforementioned in TGF-ß1 induced cells were abolished by blockage of the TGFß/S0MAD2/3 signaling pathway. CONCLUSIONS LncRNA-ATB overexpression have promoting effects on inflammation, cell apoptosis and senescence in TGF-ß1 induced HK-2 cells via activating the TGFß/SMAD2/3 signaling pathway. LncRNA-ATB act as a key downstream mediator via activating the TGFß/SMAD2/3 signaling pathway and silencing LncRNA-ATB might be a new strategy for chronic kidney disease treatment.

Indexed as

ApoptosisCell ProliferationCell SurvivalFibrosisHumansInflammationKidneyRenal Insufficiency, ChronicRNA, Long NoncodingSignal TransductionSmad2 ProteinSmad3 ProteinTransforming Growth Factor beta1Transforming Growth Factor beta3Tumor Necrosis Factor-alphalong non-coding RNA ATB, humanRNA, Long NoncodingSmad2 ProteinSMAD2 protein, humanSmad3 ProteinSMAD3 protein, humanTGFB1 protein, humanTGFB3 protein, humanTransforming Growth Factor beta1Transforming Growth Factor beta3Tumor Necrosis Factor-alpha

Identifiers

PMID32447340
PMCPMC7265746
OpenAlexW3014596954

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.