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pmid:39430588

Exploring the therapeutic potential of "Tianyu" medicine pair in rheumatoid arthritis: an integrated study combining LC-MS/MS, bioinformatics, network pharmacology, and experimental validation.

Lu Tang · Dingyuan Guo · Dongye Jia · Songlan Piao · Chunqiu Fang · Yueya Zhu · Yinghang Wang · Zhi Pan

Frontiers in medicine · 2024 doi:10.3389/fmed.2024.1475239

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complete

Experiment

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Data

partial

Analysis

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absent

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title
Exploring the therapeutic potential of "Tianyu" medicine pair in rheumatoid arthritis: an integrated study combining LC-MS/MS, bioinformatics, network pharmacology, and experimental validation.
doi
10.3389/fmed.2024.1475239
pmid
39430588
authors array · 8 items
[0]
Lu Tang
[1]
Dingyuan Guo
[2]
Dongye Jia
[3]
Songlan Piao
[4]
Chunqiu Fang
[5]
Yueya Zhu
[6]
Yinghang Wang
[7]
Zhi Pan
journal
Frontiers in medicine
year
2024
abstract
Background: Rheumatoid arthritis (RA) is a widespread chronic autoimmune disease that primarily causes joint inflammation and damage. In advanced stages, RA can result in joint deformities and loss of function, severely impacting patients' quality of life. The "Tianyu" pair (TYP) is a traditional Chinese medicine formulation developed from clinical experience and has shown some effectiveness in treating RA. However, its role in the complex biological mechanisms underlying RA remains unclear and warrants further investigation. Methods: We obtained gene sequencing data of synovial tissues from both RA patients and healthy individuals using two gene microarrays, GSE77298 and GSE55235, from the GEO database. Through an integrated approach involving bioinformatics, machine learning, and network pharmacology, we identified the core molecular targets of the "Tianyu" medicine pair (TYP) for RA treatment. Liquid chromatography-mass spectrometry was then employed to analyze the chemical components of TYP. To validate our findings, we conducted animal experiments with Wistar rats, comparing histopathological and key gene expression changes before and after TYP treatment. Results: Our data analysis suggests that the onset of RA may be associated with inflammation-related immune cells involved in both adaptive and innate immune responses. Potential key targets for TYP treatment in RA include AKR1B10, MMP13, FABP4, NCF1, SPP1, COL1A1, and RASGRP1. Among the components of TYP, Kaempferol, Quercetin, and Salidroside were identified as key, with MMP13 and NCF1 showing the strongest binding affinity to these compounds. Animal experiments confirmed the findings from bioinformatics and network pharmacology, validating the key targets and therapeutic effects of TYP in treating RA. Conclusion: Our study reveals that TYP has potential clinical value in the treatment of rheumatoid arthritis. This research enhances our understanding of RA's pathogenesis and provides insight into potential therapeutic mechanisms.
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We applied Least Absolute Shrinkage and Selection Operator (LASSO) analysis and Random Forest (RF) analysis to the key genes identified in Section 2.3, using the R packages “Glmnet” and “RandomForest,” respectively.
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We applied Least Absolute Shrinkage and Selection Operator (LASSO) analysis and Random Forest (RF) analysis to the key genes identified in Section 2.3, using the R packages “Glmnet” and “RandomForest,” respectively.
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The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.
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LASSO and random forest analyses identified AKR1B10, FABP4, MMP13, SPP1, and NCF1 as five key genes for rheumatoid arthritis.
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The Area Under the Curve (AUC) and the 95% confidence interval (CI) for these genes were calculated in the LASSO regression analysis, with the resulting Receiver Operating Characteristic (ROC) curve showing an AUC of 0.995 (95% CI: 0.985–1.000) (Figures 4D,E).
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sections[23] "Identification of candidate hub genes via machine learning" paragraph 4
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By intersecting the results from both the LASSO and RF analyses, we identified five key genes: AKR1B10, FABP4, MMP13, SPP1, and NCF1 (Figure 4G).
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sections[23] "Identification of candidate hub genes via machine learning" paragraph 2
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The Area Under the Curve (AUC) and the 95% confidence interval (CI) for these genes were calculated in the LASSO regression analysis, with the resulting Receiver Operating Characteristic (ROC) curve showing an AUC of 0.995 (95% CI: 0.985–1.000) (Figures 4D,E).
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LASSO and random forest analyses identified AKR1B10, FABP4, MMP13, SPP1, and NCF1 as five key genes for rheumatoid arthritis.
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oid arthritis: an integrated study combining LC-MS/MS, bioinformatics, network pharmacology, and e
[1]
TYP) for RA treatment. Liquid chromatography-mass spectrometry was then employed to analyze the chemical co
[2]
cting TYP using liquid chromatography–tandem mass spectrometry (LC–MS/MS). Sample preparation involved weig
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we conducted animal experiments with Wistar rats, comparing histopathological and key gene ex
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ritis model and animal administration Thirty rats were divided into three groups: control, model, a
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el construction phase, weight changes in the rats were monitored. Based on these changes, RO water
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ts after TYP administration were detected by qPCR (n = 3). (B) Changes in the protein levels o
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s after TYP administration, as determined by Western blotting (n = 3). The symbols indicate statistical si
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We applied Least Absolute Shrinkage and Selection Operator (LASSO) analysis and Random Forest (RF) analysis to the key genes identified in Section 2.3, using the R packages “Glmnet” and “RandomForest,” respectively.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:39430588", "kind": "science-record", "revision": 3, "content_hash": "sha256:e179dfd2e67578c96dd4e14372d88387188ae10f06febb65b3a04ae0e3dd968a", "created_at": "2026-11-01T20:29:41Z", "updated_at": "2026-11-01T22:12:58Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the therapeutic potential of \"Tianyu\" medicine pair in rheumatoid arthritis: an integrated study combining LC-MS/MS, bioinformatics, network pharmacology, and experimental validation.", "doi": "10.3389/fmed.2024.1475239", "pmid": "39430588", "authors": ["Lu Tang", "Dingyuan Guo", "Dongye Jia", "Songlan Piao", "Chunqiu Fang", "Yueya Zhu", "Yinghang Wang", "Zhi Pan"], "journal": "Frontiers in medicine", "year": 2024, "abstract": "Background: Rheumatoid arthritis (RA) is a widespread chronic autoimmune disease that primarily causes joint inflammation and damage. In advanced stages, RA can result in joint deformities and loss of function, severely impacting patients' quality of life. The \"Tianyu\" pair (TYP) is a traditional Chinese medicine formulation developed from clinical experience and has shown some effectiveness in treating RA. However, its role in the complex biological mechanisms underlying RA remains unclear and warrants further investigation.\nMethods: We obtained gene sequencing data of synovial tissues from both RA patients and healthy individuals using two gene microarrays, GSE77298 and GSE55235, from the GEO database. Through an integrated approach involving bioinformatics, machine learning, and network pharmacology, we identified the core molecular targets of the \"Tianyu\" medicine pair (TYP) for RA treatment. Liquid chromatography-mass spectrometry was then employed to analyze the chemical components of TYP. To validate our findings, we conducted animal experiments with Wistar rats, comparing histopathological and key gene expression changes before and after TYP treatment.\nResults: Our data analysis suggests that the onset of RA may be associated with inflammation-related immune cells involved in both adaptive and innate immune responses. Potential key targets for TYP treatment in RA include AKR1B10, MMP13, FABP4, NCF1, SPP1, COL1A1, and RASGRP1. Among the components of TYP, Kaempferol, Quercetin, and Salidroside were identified as key, with MMP13 and NCF1 showing the strongest binding affinity to these compounds. Animal experiments confirmed the findings from bioinformatics and network pharmacology, validating the key targets and therapeutic effects of TYP in treating RA.\nConclusion: Our study reveals that TYP has potential clinical value in the treatment of rheumatoid arthritis. 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Liquid chromatography-mass spectrometry was then employed to analyze the chemical co", "cting TYP using liquid chromatography–tandem mass spectrometry (LC–MS/MS). Sample preparation involved weig", "everted to the initial conditions by 12 min. Mass spectrometry detection was performed using a Thermo Fishe"], "order_basis": "paper_text_order:72", "id": "assay:1"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["we conducted animal experiments with Wistar rats, comparing histopathological and key gene ex", "ritis model and animal administration Thirty rats were divided into three groups: control, model, a", "el construction phase, weight changes in the rats were monitored. Based on these changes, RO water", "administered for 28 days. After 28 days, the rats were anesthetized with ethyl carbamate, and synov"], "order_basis": "paper_text_order:1231", "id": "assay:2"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ts after TYP administration were detected by qPCR (n = 3). (B) Changes in the protein levels o"], "order_basis": "paper_text_order:6425", "id": "assay:3"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["s after TYP administration, as determined by Western blotting (n = 3). 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