Evidence map›Paper›PMID 42719828›Full record

ArticleInfection and drug resistance2026

Mechanistic Insights into Maxing Shigan Decoction in Community-Acquired Pneumonia Based on Bioinformatics and Experimental Validation.

Chenhao Wei, Rui Wang, Xiuying Zhang, Mengfei Yang, Shiyao Zhang, Hangyu Zhao, Lai Zhang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.

Chenhao Wei *First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.ORCID 0009-0009-0139-4359
Rui Wang *First Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.
Xiuying ZhangDepartment of Pediatrics, Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110847, People's Republic of China.ORCID 0009-0001-7379-1750
Mengfei YangFirst Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.
Shiyao ZhangFirst Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.
Hangyu ZhaoFirst Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.
Lai ZhangFirst Clinical College, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the mechanisms of Maxing Shigan Decoction (MXSGD) in community-acquired pneumonia (CAP) via network pharmacology, machine learning, molecular docking, and experimental validation. Methods: MXSGD active compounds and targets were collected from TCMSP and TCM-ID; CAP-related genes were obtained from GEO datasets, and integrated with targets from GeneCards, OMIM, DisGeNET, and TTD. Overlapping targets were subjected to PPI, GO, and KEGG analyses. LASSO and SVM-RFE were used to select feature genes, and six core targets with robust diagnostic performance (AUC > 0.8 in both training and validation sets) were identified after ROC evaluation. Immune infiltration, GSEA, molecular docking, and 100 ns molecular dynamics simulations were performed. In vivo, the efficacy of MXSGD was assessed in a clinically relevant influenza A virus- Results: We obtained 139 active compounds, 867 MXSGD targets, and 4,444 CAP genes, yielding 262 shared targets enriched in immune-inflammation pathways. Six core targets with high diagnostic accuracy were identified: ABCB1 (AUC = 0.9072), KIT (AUC = 0.8072), PLA2G7 (AUC = 0.8391), SLC2A3 (AUC = 0.9372), PRF1 (AUC = 0.8082), and GPR18 (AUC = 0.8414). Immune infiltration revealed eight differentially abundant immune cell types. Molecular docking and molecular dynamics supported the stable binding of glabridin to KIT and SLC2A3. In vivo, MXSGD significantly ameliorated lung pathological injury, reduced lung index and serum IL-6 and TNF-α levels (FDR-adjusted Conclusion: These results suggest that MXSGD may exert immunomodulatory and anti-inflammatory effects in CAP, potentially by regulating ABCB1, KIT, PLA2G7, SLC2A3, PRF1, and GPR18; however, only three of these (KIT, GPR18, and SLC2A3) showed statistically significant mRNA changes. These findings provide a multi-component, multi-target rationale requiring further experimental and clinical confirmation.

Indexed as

community-acquired pneumoniaimmune regulationmachine learningMaxing Shigan Decoctionnetwork pharmacologytargets

Identifiers

PMID42719828
PMCPMC13557166

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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.