ArticlePharmaceutical biology2021
Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology.
Article in Pharmaceutical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 10 citations in OpenAlex.
- Mitochondrial Mediated Apoptosis Evaluation of Myristicin on Triple Negative Breast Cancer Model Via Bcl2/Bid Pathway.Cell biochemistry and function · 2026Article
- Non-invasive pharmacological advances in early retinopathy treatment: bioactive herbal compounds, polymer delivery systems, and computational bioprospecting of functional targets.Pharmacological reports : PR · 2026Review
- Yiqi Wenyang Formula ameliorates diabetic kidney disease via inhibiting inflammation and regulating the gut microbiota-bile acid axis in mice by FXR signaling pathway.Chinese medicine · 2025Article
- Exploring the Therapeutic Potential of Ginseng in Diabetic Retinopathy: A Network Pharmacology and Molecular Docking Study.Applied bionics and biomechanics · 2025Article
- Identification of genetic factors underlying severe retinopathy of prematurity in preterm infants.Molecular vision · 2025Article
- Network pharmacology mechanism of Scutellarin to inhibit RGC pyroptosis in diabetic retinopathy.Scientific reports · 2023Article
- Stachydrine Relieved the Inflammation and Promoted the Autophagy in Diabetes Retinopathy Through Activating the AMPK/SIRT1 Signaling Pathway.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextTangwang Mingmu granule (TWMM), a traditional Chinese medicine, has been widely used in the treatment of diabetic retinopathy (DR), the most common microvascular complication in diabetes mellitus.
objectiveTo establish a method to select target compounds from herbs for a pharmacokinetic study using network pharmacology, which could be applied in clinical settings. MATERIALS AND
methodsFirst, UPLC/Q Exactive Q-Orbitrap and GCMS 2010 were used to determine the non-volatile and volatile ingredients of TWMM. Based on the identified compounds, network pharmacology was used to screen the key compounds and targets of TWMM in the treatment of DR. Based on the compound-target-pathway network and identification of components emigrant into blood, the potential compound markers
resultsNinety and forty-five compounds were identified by UPLC-MS and GC-MS, respectively. Based on the network pharmacology, nine compounds with a degree value above 15 were screened and implied that these compounds are the most active in DR treatment. Moreover, criteria of degree value greater than 7 were applied, and PTGS2, NOS2, AKT1, ESR1, TNF, and MAPK14 were inferred as the core targets in treating DR. After identification of components absorbed into blood, luteolin and formononetin were selected and used to investigate the pharmacokinetic parameters of TWMM after its oral administration.
conclusionsThe reported strategy provides a method that combines ingredient profiling, network pharmacology, and pharmacokinetics to determine luteolin and formononetin as the pharmacokinetic markers of TWMM. This strategy provides a clinically relevant methodology that allows for the screening of pharmacokinetic markers in Chinese medicines.
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