Evidence map›Paper›PMID 40113718›Full record

ArticleBiochemical genetics2026

Screening Therapeutic Core Genes in Sepsis Using Network Pharmacology and Single-Cell RNA Sequencing.

Guihong Chen, Wen Zhang, Chenglin Wang, Yingchun Hu, Shaolan Li

Abstract read
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In one paragraph

Article in Biochemical genetics, 2026. 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

5 authors.

Guihong ChenDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Luzhou, 646000, Sichuan, China.
Wen ZhangDepartment of Endocrinology and Metabolism, The Traditional Chinese Medicine Hospital of Luzhou City, Luzhou, 646000, Sichuan, China.
Chenglin WangDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Luzhou, 646000, Sichuan, China.
Yingchun HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Luzhou, 646000, Sichuan, China.
Shaolan LiDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Rd, Luzhou, 646000, Sichuan, China. lishaolan883@swmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis, a life-threatening condition characterized by a systemic inflammatory response, leads to organ dysfunction and high mortality rates. Honeysuckle, a traditional herbal remedy, has shown promise in attenuating organ damage and inhibiting pro-inflammatory factors in sepsis. However, the underlying molecular mechanisms remain unclear. We employed a multi-omics approach to elucidate honeysuckle's potential therapeutic effects in sepsis. RNA sequencing was performed on blood samples from 22 sepsis patients and 10 healthy controls to identify differentially expressed genes. Network pharmacology was utilized to predict effective ingredients and therapeutic targets of honeysuckle in sepsis. Meta-analysis compared gene expression between sepsis survivors and non-survivors. Single-cell RNA sequencing was employed to localize target gene expression at the cellular level. We identified 1328 differentially expressed genes in sepsis, with 221 upregulated and 1107 downregulated. Network analysis revealed 15 genes linked to 12 honeysuckle components. Four genes-DPP4, CD40LG, BCL2, and TP53-emerged as core therapeutic targets, showing decreased expression in non-survivors but upregulation in survivors. Single-cell analysis demonstrated that these genes were primarily expressed in T cells and other immune cells, suggesting their role in regulating immune response and inflammation. This study uses single-cell RNA sequencing and network analysis to identify DPP4, CD40LG, BCL2, and TP53 as key regulatory targets in sepsis, providing insights into disease mechanisms and potential therapeutic interventions. Network pharmacology analysis suggests possible interactions with honeysuckle compounds, though experimental validation is needed.

Indexed as

Network PharmacologySepsisAgedFemaleGene Regulatory NetworksHumansLoniceraMaleMiddle AgedProto-Oncogene Proteins c-bcl-2Sequence Analysis, RNASingle-Cell AnalysisTumor Suppressor Protein p53Proto-Oncogene Proteins c-bcl-2Tumor Suppressor Protein p53HoneysuckleNetwork pharmacologySepsisSingle-cell RNA sequencing

Identifiers

What Socratic holds

Textmetadata
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.