Evidence map›Paper›PMID 38472694›Full record

ArticleMolecular biotechnology2025

Identification of Key lncRNAs in Gout Under Copper Death and Iron Death Mechanisms: A Study Based on ceRNA Network Analysis and Random Forest Algorithm.

Zi-Chen Shao, Wei-Kang Sun, Qin-Qin Deng, Ling Cheng, Xin Huang, Lie-Kui Hu, Hua-Nan Li

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Zi-Chen ShaoJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Wei-Kang SunJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Qin-Qin DengJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Ling ChengJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Xin HuangJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Lie-Kui HuJiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.
Hua-Nan LiAffiliated Hospital of Jiangxi University of Chinese Medicine, No.445, Bayi Avenue, Nanchang, 330006, Jiangxi, China. lihuanan1974@126.com.ORCID http://orcid.org/0009-0008-3806-265X
Jiangxi University of Traditional Chinese Medicine · CN

Funding

Jiangxi Provincial Natural Science Foundation No. 20232ACB206051Key Research Laboratory and Clinical Research Base construction project of Jiangxi Provincial Administration of Traditional Chinese Medicine (Third Batch) Education [2022] No. 8Key Research Laboratory and Clinical Research Base construction project of Jiangxi Provincial Administration of Traditional Chinese Medicine (Third Batch) No. Gan Traditional Chinese Medicine Sciencethe National Natural Science Foundation of China Grant No. 82060871Traditional Chinese Medicine Dominant Disease Specialty Project - Gout No. Gan Traditional Chinese Medicine Comprehensive [2022] No. 4
6 · The paper itself

Abstract

This study focused on identifying potential key lncRNAs associated with gout under the mechanisms of copper death and iron death through ceRNA network analysis and Random Forest (RF) algorithm, which aimed to provide new insights into the molecular mechanisms of gout, and potential molecular targets for future therapeutic strategies of gout. Initially, we conducted an in-depth bioinformatics analysis of gout microarray chips to screen the key cuproptosis-related genes (CRGs) and key ferroptosis-related genes (FRGs). Using these data, we constructed a key ceRNA network for gout. Finally, key lncRNAs associated with gout were identified through the RF algorithm combined with ROC curves, and validated using the Comparative Toxicogenomics Database (CTD). We successfully identified NLRP3, LIPT1, and DBT as key CRGs associated with gout, and G6PD, PRKAA1, LIG3, PHF21A, KLF2, PGRMC1, JUN, PANX2, and AR as key FRGs associated with gout. The key ceRNA network identified four downregulated key lncRNAs (SEPSECS-AS1, LINC01054, REV3L-IT1, and ZNF883) along with three downregulated mRNAs (DBT, AR, and PRKAA1) based on the ceRNA theory. According to CTD validation inference scores and biological functions of target mRNAs, we identified a potential gout-associated lncRNA ZNF883/hsa-miR-539-5p/PRKAA1 regulatory axis. This study identified the key lncRNA ZNF883 in the context of copper death and iron death mechanisms related to gout for the first time through the application of ceRNA network analysis and the RF algorithm, thereby filling a research gap in this field and providing new insights into the molecular mechanisms of gout. We further found that lncRNA ZNF883 might function in gout patients by regulating PRKAA1, the mechanism of which was potentially related to uric acid reabsorption in the proximal renal tubules and inflammation regulation. The proposed lncRNA ZNF883/hsa-miR-539-5p/PRKAA1 regulatory axis might represent a potential RNA regulatory pathway for controlling the progression of gout disease. This discovery offered new molecular targets for the treatment of gout, and had significant implications for future therapeutic strategies in managing the gout.

Indexed as

CopperGene Regulatory NetworksGoutIronRNA, Long NoncodingAlgorithmsComputational BiologyFerroptosisGene Expression ProfilingHumansRandom ForestRNA, Competitive EndogenousCopperIronRNA, Competitive EndogenousRNA, Long NoncodingceRNACuprotosisFerroptosisGoutlncRNARandom forest algorithm

Identifiers

PMID38472694
OpenAlexW4392886307

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.