Evidence map›Paper›PMID 38286859›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2024

Identification of RRM2 as a key ferroptosis-related gene in sepsis.

Shasha He, Yidong He, Liyan Deng, Yuhong Guo, Xiaopeng Wang, Qian Wang, Lianxiang Luo, Qingquan Liu

Abstract read
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In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

8 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

8 authors at 6 institutions in 1 country.

Shasha He *Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Chinese Medicine, Beijing Key Laboratory of Basic Research with Traditional Chinese Medicine on Infectious Diseases, Beijing, China.
Yidong He *The First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, China.
Liyan DengThe First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, China.
Yuhong GuoBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Chinese Medicine, Beijing Key Laboratory of Basic Research with Traditional Chinese Medicine on Infectious Diseases, Beijing, China.
Xiaopeng WangBeijing Traditional Chinese Medicine Hospital Shunyi Hospital, Beijing, China.
Qian WangState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China. qian.wang@bjmu.edu.cn.
Lianxiang LuoThe Marine Biomedical Research Institute, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, Guangdong, China. luolianxiang321@gdmu.edu.cn.
Qingquan LiuBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Chinese Medicine, Beijing Key Laboratory of Basic Research with Traditional Chinese Medicine on Infectious Diseases, Beijing, China. liuqingquan_2003@126.com.
Beijing Hospital of Traditional Chinese Medicine · CNGuangdong Medical College · CNCapital Medical University · CNGuangdong Ocean University · CNPeking University · CNShunyi Hospital of Beijing Traditional Chinese Medicine Hospital · CN

Funding

Beijing Hospitals Authority Youth Programme (QML20231002)the National Natural Science Foundation of China 82174157the National Natural Science Foundation of China 82274283
6 · The paper itself

Abstract

objectiveSepsis and sepsis-associated organ failure are devastating conditions for which there are no effective therapeutic agent. Several studies have demonstrated the significance of ferroptosis in sepsis. The study aimed to identify ferroptosis-related genes (FRGs) in sepsis, providing potential therapeutic targets.

methodsThe weighted gene co-expression network analysis (WGCNA) was utilized to screen sepsis-associated genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to explore gene functions. Three machine learning methods were employed to identify sepsis-related hub genes. Survival and multivariate Cox regression analysis allowed further screening for the key gene RRM2 associated with prognosis. The immune infiltration analysis of the screened sepsis key genes was performed. Additionally, a cecum ligation and puncture (CLP)-induced mouse sepsis model was constructed to validate the expression of key gene in the sepsis.

resultsSix sepsis-associated differentially expressed FRGs (RRM2, RPL7A, HNRNPA1, PEBP1, MYL8B and TXNIP) were screened by WGCNA and three machine learning methods analysis. Survival analysis and multivariate Cox regression analysis showed that RRM2 was a key gene in sepsis and an independent prognostic factor associated with clinicopathological and molecular features of sepsis. Immune cell infiltration analysis demonstrated that RRM2 had a connection to various immune cells, such as CD4 T cells and neutrophils. Furthermore, animal experiment demonstrated that RRM2 was highly expressed in CLP-induced septic mice, and the use of Fer-1 significantly inhibited RRM2 expression, inhibited serum inflammatory factor TNF-α, IL-6 and IL-1β expression, ameliorated intestinal injury and improved survival in septic mice.

conclusionRRM2 plays an important role in sepsis and may contribute to sepsis through the ferroptosis pathway. This study provides potential therapeutic targets for sepsis.

Indexed as

FerroptosisRibonucleoside Diphosphate ReductaseSepsisAnimalsCD4-Positive T-LymphocytesCecumDisease Models, AnimalMiceTumor Necrosis Factor-alphaRibonucleoside Diphosphate Reductaseribonucleotide reductase M2Tumor Necrosis Factor-alphaFerroptosisImmune cell infiltrationMachine learningRRM2Sepsis

Identifiers

PMID38286859
OpenAlexW4391309248

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.