ArticleDrug design, development and therapy2019
A Network Pharmacology-Based Strategy For Predicting Active Ingredients And Potential Targets Of LiuWei DiHuang Pill In Treating Type 2 Diabetes Mellitus.
Article in Drug design, development and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 61 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.
- Integrated meta-analysis, network pharmacology, and molecular docking to investigate the efficacy and potential pharmacological mechanism of Kai-Xin-San on Alzheimer's disease.Pharmaceutical biology · 2020Pooled it
- Combining bioinformatics prediction with experimental validation to explore the ameliorative effect ofMolecular medicine reports · 2026Article
- A Network Pharmacology and Experimental Validation Strategy for Hypoglycemic Study of Lonicerae Japonicae Flos on Diabetes.Journal of cellular and molecular medicine · 2026Article
- Liuwei Dihuang Prevents Human Umbilical Vein Endothelial Cells SenescenceCombinatorial chemistry & high throughput screening · 2026Article
- Artificial Intelligence in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms.Research (Washington, D.C.) · 2026Review
- Elucidating the anti-aging bioactive compounds and mechanisms of Jingfang Granules formula based on network pharmacology and Caenorhabditis elegans.Biogerontology · 2025Article
- Unveiling the Therapeutic Potential of Banxia Xiexin Decoction in Alzheimer's Disease: Insights From Network Pharmacology and Experimental Validation.Drug design, development and therapy · 2025Article
- The Effect and Mechanism of Fufang Banbianlian Injection in the Treatment of Mesangial Proliferative Glomerulonephritis.Combinatorial chemistry & high throughput screening · 2025Article
- Network pharmacology combined with molecular docking revealed the potential targets of Coridius chinensis in prostate cancer treatment.World journal of clinical cases · 2024Article
- Exploring the therapeutic mechanism of potential phytocompounds fromSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024Article
- Protective Effects and Mechanisms of Luteolin against Acute Respiratory Distress Syndrome: Network Pharmacology andCurrent pharmaceutical design · 2024Article
- Circ_0004535/miR-1827/CASP8 network involved in type 2 diabetes mellitus with nonalcoholic fatty liver disease.Scientific reports · 2023Article
- Molecular Docking Integrated with Network Pharmacology Explores the Therapeutic Mechanism ofCurrent issues in molecular biology · 2023Article
- Simultaneous Extraction and Analysis of Seven Major Saikosaponins fromMolecules (Basel, Switzerland) · 2023Article
- The network pharmacology study and molecular docking to investigate the potential mechanism of Acoritataninowii Rhizoma against Alzheimer's Disease.Metabolic brain disease · 2023Article
- Network Pharmacology Approach to Investigate the Mechanism of Danggui-Shaoyao-San against Diabetic Kidney Disease.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Development of Novel Herbal Compound Formulations Targeting Neuroinflammation: Network Pharmacology, Molecular Docking, and Experimental Verification.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Article
- Effects of Shenling Baizhu powder on pyrotinib-induced diarrhea: analysis of gut microbiota, metabonomics, and network pharmacology.Chinese medicine · 2022Article
- Antidepressant effects of total alkaloids ofPharmaceutical biology · 2022Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTraditional Chinese medicine (TCM) formulations have proven to be advantageous in clinical treatment and prevention of disease. LiuWei DiHuang Pill (LWDH Pill) is a TCM that was employed to treat type 2 diabetes mellitus (T2DM). However, a holistic network pharmacology approach to understanding the active ingredients and the therapeutic mechanisms underlying T2DM has not been pursued.
methodsA network pharmacology approach including drug-likeness evaluation, oral bioavailability prediction, virtual docking, and network analysis has been used to predict the active ingredients and potential targets of LWDH Pill in the treatment of type 2 diabetes.
resultsThe comprehensive network pharmacology approach was successfully to identify 45 active ingredients in LWDH Pill. 45 active ingredients hit by 163 potential targets related to T2DM. Ten of the more highly predictive components (such as :quercetin, Kaempferol, Stigmasterol, beta-sitosterol, Kadsurenone, Diosgenin, hancinone C, Hederagenin, Garcinone B, Isofucosterol) are involved in anti-inflammatory, anti-oxidative stress, and the reduction of beta cell damage. LWDH Pill may play a role in the treatment of T2DM and its complications (atherosclerosis and nephropathy) through the AGE-RAGE signaling pathway, TNF signaling pathway, and NF-kappa B signaling pathway.
conclusionBased on a systematic network pharmacology approach, our works successfully predict the active ingredients and potential targets of LWDH Pill for application to T2DM and helps to illustrate mechanism of action on a comprehensive level. This study provides identify key genes and pathway associated with the prognosis and pathogenesis of T2DM from new insights, which also demonstrates a feasible method for the research of chemical basis and pharmacology in LWDH Pill.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.