Evidence map›Paper›PMID 37822934›Full record

ArticleFrontiers in immunology2023

A hub gene signature as a therapeutic target and biomarker for sepsis and geriatric sepsis-induced ARDS concomitant with COVID-19 infection.

Guojun Qian, Hongwei Fang, Anning Chen, Zhun Sun, Meiying Huang, Mengyuan Luo, Erdeng Cheng, Shengyi Zhang, Xiaokai Wang, Hao Fang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 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

10 authors at 3 institutions in 1 country.

Guojun QianDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hongwei FangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Anning ChenAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Zhun SunAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Meiying HuangAffiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Mengyuan LuoDepartment of Anesthesiology, Minhang Branch, Zhongshan Hospital, Fudan University, Shanghai, China.
Erdeng ChengDepartment of Anesthesiology, Minhang Branch, Zhongshan Hospital, Fudan University, Shanghai, China.
Shengyi ZhangDepartment of Thoracic Surgery, Songjiang Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiaokai WangDepartment of Interventional and Vascular Surgery, Xuzhou First People's Hospital, Xuzhou, China.
Hao FangDepartment of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Sun Yat-sen University · CNGuangzhou Medical University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 and sepsis represent formidable public health challenges, characterized by incompletely elucidated molecular mechanisms. Elucidating the interplay between COVID-19 and sepsis, particularly in geriatric patients suffering from sepsis-induced acute respiratory distress syndrome (ARDS), is of paramount importance for identifying potential therapeutic interventions to mitigate hospitalization and mortality risks. Methods: We employed bioinformatics and systems biology approaches to identify hub genes, shared pathways, molecular biomarkers, and candidate therapeutics for managing sepsis and sepsis-induced ARDS in the context of COVID-19 infection, as well as co-existing or sequentially occurring infections. We corroborated these hub genes utilizing murine sepsis-ARDS models and blood samples derived from geriatric patients afflicted by sepsis-induced ARDS. Results: Our investigation revealed 189 differentially expressed genes (DEGs) shared among COVID-19 and sepsis datasets. We constructed a protein-protein interaction network, unearthing pivotal hub genes and modules. Notably, nine hub genes displayed significant alterations and correlations with critical inflammatory mediators of pulmonary injury in murine septic lungs. Simultaneously, 12 displayed significant changes and correlations with a neutrophil-recruiting chemokine in geriatric patients with sepsis-induced ARDS. Of these, six hub genes (CD247, CD2, CD40LG, KLRB1, LCN2, RETN) showed significant alterations across COVID-19, sepsis, and geriatric sepsis-induced ARDS. Our single-cell RNA sequencing analysis of hub genes across diverse immune cell types furnished insights into disease pathogenesis. Functional analysis underscored the interconnection between sepsis/sepsis-ARDS and COVID-19, enabling us to pinpoint potential therapeutic targets, transcription factor-gene interactions, DEG-microRNA co-regulatory networks, and prospective drug and chemical compound interactions involving hub genes. Conclusion: Our investigation offers potential therapeutic targets/biomarkers, sheds light on the immune response in geriatric patients with sepsis-induced ARDS, emphasizes the association between sepsis/sepsis-ARDS and COVID-19, and proposes prospective alternative pathways for targeted therapeutic interventions.

Indexed as

COVID-19Respiratory Distress SyndromeSepsisAgedAnimalsBiomarkersGene Expression ProfilingHumansMiceBiomarkersbioinformaticsCOVID-19disease biomarkerhub genesepsissepsis-ARDS

Identifiers

PMID37822934
PMCPMC10562607
OpenAlexW4387105345

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.