Evidence map›Paper›PMID 39769204›Full record

ArticleInternational journal of molecular sciences2024

Chiral Amino Acids Mediate Mitochondria-Dependent Apoptosis of Human Proximal Tubular Epithelial Cells Under Oxidative Stress.

Ying Lu, Yang Zhang, Zhaoyang Jin, Shuaishuai Cui, Li Wu, Yujian He

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Ying LuSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Yang ZhangSchool of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Zhaoyang JinSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Shuaishuai CuiSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Li WuSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0002-0085-5880
Yujian HeSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.

Funding

National Natural Science Foundation of China 51972302
6 · The paper itself

Abstract

Amino acids are the basic structural units of life, and their intake levels affect disease and health. In the case of renal disease, alterations in amino acid metabolism can be used not only as a clinical indicator of renal disease but also as a therapeutic strategy. However, the biological roles and molecular mechanisms of natural chiral amino acids in human proximal tubular epithelial cells (HK-2) remain unclear. In this study, cell viability assays revealed that chiral acidic amino acids (Glu and Asp) and aromatic amino acids (Trp and Phe) inhibited cell growth. The molecular mechanisms indicated that cell growth was closely related to ROS levels. Specifically, chiral Glu, Asp, Trp, and Phe induced oxidative stress and mitochondria-dependent apoptosis in HK-2 cells. This was manifested by elevated levels of intracellular ROS, 8-OHdG, and MDA, increased activities of antioxidant enzymes CAT, SOD, and GPx, decreased mitochondrial membrane potential, increased cytoplasmic Ca

Indexed as

Amino AcidsApoptosisEpithelial CellsKidney Tubules, ProximalMembrane Potential, MitochondrialMitochondriaOxidative StressReactive Oxygen SpeciesCalciumCell LineCell ProliferationCell SurvivalHumansAmino AcidsCalciumReactive Oxygen Speciesapoptosischiral amino acidsHK-2 cellsmitochondria-dependentoxidative stressROS

Identifiers

PMID39769204
PMCPMC11677210

What OpenQuestion holds

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Registered trials

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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.