Evidence map›Paper›PMID 39696629›Full record

ArticleEuropean journal of medical research2024

Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways.

LiLi Ma, Yue Liu, Yajing Ren, Na Mi, Jing Fang, Rui Bao, Xiuzhi Xu, Hongjia Zhang, Ying Tang

Abstract read
In one paragraph

Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

LiLi MaDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Number 23, You Zheng Street, Nan Gang District, Harbin, 150001, Heilongjiang Province, China.
Yue LiuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150000, Heilongjiang Province, China.
Yajing RenSchool of Medical and Life Sciences, Chengdu University of TCM, Cheng du City, 611137, Sichuan Province, China.
Na MiDepartment of Neurology, Chi Feng Municipal Hospital, Chi Feng City, 024000, Inner Mongolia Autonomous Region, China.
Jing FangDepartment of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, 150081, People's Republic of China.
Rui BaoDepartment of Rehabilitation, The Third Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang Province, China.
Xiuzhi XuGeneral Medical Department, Heilongjiang Provincial Hospital, Harbin, 150036, Heilongjiang Province, China.
Hongjia ZhangDepartment of Neurology, Jilin City Hospital of Chemical Industry, Jilin City, Jilin, China. zhanghongjia121@163.com.ORCID http://orcid.org/0009-0001-8585-208X
Ying TangDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Number 23, You Zheng Street, Nan Gang District, Harbin, 150001, Heilongjiang Province, China. hydtangying@hotmail.com.ORCID http://orcid.org/0000-0002-2027-5955

Funding

the Department of Education, Heilongjiang Province 12521291the National Natural Science Foundation of China 81771508the Natural Science Foundation of Heilongjiang Province D201235
6 · The paper itself

Abstract

backgroundPyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative disorders. This study was designed to ascertain the key lncRNAs in pyroptosis pathways of PD and elucidate their regulatory mechanisms.

methodsEmploying a combination of bioinformatics and machine learning, we analyzed PD data sets GSE133347 and GSE110716. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) recognized different lncRNAs. Through various algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and Weighted Gene Co-expression Network Analysis (WGCNA), we recognized LINC01606 and LINC00269, which are key factors during the emergence and development of PD. Furthermore, experimental validation was conducted in PD mouse models to confirm these bioinformatics findings.

resultsThe analysis showed that there were a large number of apoptosis-related gene expression changes in Parkinson's syndrome, for example, CASP1 and GSDME were up-regulated, and CASP9 and AIM2 were down-regulated. Among the lncRNAs, LINC01606 and LINC00269 were identified as potential modulators of pyroptosis. Notably, LINC00269 was observed to be significantly downregulated in the brain tissues of a PD mouse model, supporting its involvement in PD. The study also highlighted potential interactions of these lncRNAs with genes like ONECUT2, PRLR, CTNNA3, and LRP2.

conclusionsThis study identifies LINC00269 as a potential contributor to pyroptosis pathways in PD. While further investigation is required to fully elucidate its role, these findings provide new insights into PD pathogenesis and suggest potential avenues for future research on diagnostic and therapeutic targets. The study underscores the importance of integrating bioinformatics with experimental validation in neurodegenerative disease research.

Indexed as

Computational BiologyMachine LearningParkinson DiseasePyroptosisRNA, Long NoncodingAnimalsGene Expression ProfilingGene Regulatory NetworksHumansMiceRNA, Long NoncodingImmune infiltrationLINC00269lncRNAsParkinson's diseasePyroptosis

Identifiers

PMID39696629
PMCPMC11656613

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.